function urepet
% Get screen size screen_size = get(0,ScreenSize);
% Create the figure window object_figure = figure(& Visible,off,& Position,[screen_size(3:4)/4+1,screen_size(3:4)/2],& Name,Main Screen,& NumberTitle,off,& MenuBar,none,& RequestCloseFunction,@figureRequestCloseFunction);
% create tool bar custom_tool_bar = uitoolbar(object_figure);
% media play icons icon_media_play = playicon; icon_media_stop = stopicon;
% Create main buttons media_button_open = uipushtool(custom_tool_bar,& CData,iconread(file_open.png),& TooltipString,Open Item,& Enable,on,& ClickedCallback,@openButtonClickedCallBackFunction); %#ok<*NASGU> media_button_save = uipushtool(custom_tool_bar,& CData,iconread(file_save.png),& TooltipString,Save Item,& Enable,off); media_button_play = uipushtool(custom_tool_bar,& CData,icon_media_play,& TooltipString,Play Item,& Enable,off,& UserData,struct(PlayIcon,icon_media_play,StopIcon,icon_media_stop));
% Pointer, oom, toggle buttons media_button_select = uitoggletool(custom_tool_bar,& Separator,On,& CData,iconread(tool_pointer.png),& TooltipString,Select This,& Enable,off,& ClickedCallBack,@SelectCLickedCallBackFunction); media_button_zoom = uitoggletool(custom_tool_bar,& CData,iconread(tool_zoom_in.png),& TooltipString,Zoom,& Enable,off,& ClickedCallBack,@ZoomClickedCallbackFunction); media_button_pan = uitoggletool(custom_tool_bar,& CData,iconread(tool_hand.png),& TooltipString,Pan,& Enable,off,& ClickedCallBack,@panClickedCallBackFunction);
% Create window, parameters main_button_urepet = uipushtool(custom_tool_bar,& Separator,On,& CData,main_icon,& TooltipString,uREPET Button,& Enable,off); main_button_background = uitoggletool(custom_tool_bar,& CData,iconread(tool_font_bold.png),& TooltipString,Background Button,& Enable,off,& ClickedCallBack,@BackGroundClickedCallBackFunction); media_undo_icon = iconread(tool_rotate_3d.png); media_undo_icon(6:12,6:12,:) = NaN; media_undo_button = uipushtool(custom_tool_bar,& CData,media_undo_icon,& TooltipString,Undo Operation,& Enable,off);
% axes for signals and spectrum axes_signal = axes(& OuterPosition,[0,0.9,1,0.1],& Visible,off); axes_spectrogram = axes(& OuterPosition,[0,0,1,0.9],& Visible,off);
% x-axis limits linkaxes([axes_signal,axes_spectrogram],x)
% change mouse on spectrogram EnterKeyFunction = @(figure_handle,currentPoint) set(figure_handle,Pointer,ibeam); iptSetPointerBehavior(axes_signal,EnterKeyFunction); iptPointerManager(object_figure);
% mouse over media EnterKeyFunction = @(figure_handle,currentPoint) set(figure_handle,Pointer,arrow); iptSetPointerBehavior(object_figure,EnterKeyFunction) iptSetPointerBehavior(axes_spectrogram,EnterKeyFunction) iptPointerManager(object_figure);
% initialize player media_player_audio = audioplayer(0,80);
% figure = visible object_figure.Visible = on;
% call back function for open button function openButtonClickedCallBackFunction(~,~) % dialog box to open files [audio_file_name,audio_file_path] = uigetfile({*.mp32;*.wav},& MP3 or WAV audio files); if isequal(audio_file_name,0) || isequal(audio_file_path,0) return end % Remove figures to allow creation of other objects object_figure.RequestCloseFunction = ; % busy pointer object_figure.Pointer = watch; drawnow % stop playing audio media if isplaying(media_player_audio) stop(media_player_audio) end % Clearaxes cla(axes_signal) axes_signal.Visible = off; cla(axes_spectrogram) axes_spectrogram.Visible = off; drawnow % Build name of file full_file_audio = fullfile(audio_file_path,audio_file_name); % audio and rate (Hz) [audio_file_signal,audio_file_sample_rate] = audioread(full_file_audio); % channels and samples [number_of_samples,number_of_channels] = size(audio_file_signal); % plot audio signal. disable mouse clicks plot(axes_signal,& 1/audio_file_sample_rate:1/audio_file_sample_rate:number_of_samples/audio_file_sample_rate,& audio_file_signal,& PickableParts,none); % Update axes properties axes_signal.XLim = [1,number_of_samples]/audio_file_sample_rate; axes_signal.YLim = [-1,1]; axes_signal.XGrid = on; axes_signal.Title.String = audio_file_name; axes_signal.Title.Interpreter = None; axes_signal.XLabel.String = Time (s); axes_signal.Layer = top; axes_signal.UserData.PlotXLim = [1,number_of_samples]/audio_file_sample_rate; axes_signal.UserData.SelectXLim = [1,number_of_samples]/audio_file_sample_rate; drawnow % Add the CQT toolbox folder to the search path addpath(CQT_toolbox_2013) % Min & max Hz, number of channels resolution_of_octave = 24; min_freq_value = 27.5; max_freq_value = audio_file_sample_rate/2; % Initialize the CQT object and the spectrogram cqt_audio_cell = cell(1,number_of_channels); audio_spectrogram = []; % Compute the CQT ,spectrogram for all channel for index_of_channel = 1:number_of_channels %#ok<*FXUP> cqt_audio_cell{index_of_channel}& = cqt(audio_file_signal(:,index_of_channel),resolution_of_octave,audio_file_sample_rate,min_freq_value,max_freq_value); audio_spectrogram = cat(3,audio_spectrogram,abs(cqt_audio_cell{index_of_channel}.c)); end % Number of frequency channels and time frames [frequency_number,number_of_times,~] = size(audio_spectrogram); % Update the maximum frequency in Hz max_freq_value = min_freq_value*2.^((frequency_number-1)/resolution_of_octave); % Time range in seconds media_play_time_range = [1,number_of_times]/number_of_times*number_of_samples/audio_file_sample_rate; % Display the audio spectrogram imagesc(axes_spectrogram,& media_play_time_range,& [(min_freq_value*2*frequency_number+max_freq_value)/(2*frequency_number+1),& (max_freq_value*2*frequency_number+min_freq_value)/(2*frequency_number+1)],& db(mean(audio_spectrogram,3)),& PickableParts,none); % Update spectrogram axes properties axes_spectrogram.YScale = log; axes_spectrogram.YDir = normal; axes_spectrogram.XGrid = on; axes_spectrogram.Colormap = jet; axes_spectrogram.Title.String = Log-spectrogram; axes_spectrogram.XLabel.String = Time (s); axes_spectrogram.YLabel.String = Frequency (Hz); axes_spectrogram.ButtonDownFcn = @SpectrogramAxesButtonCallFunction; drawnow % Color limits screen_color_limits = axes_spectrogram.CLim; % playing audio object media_player_audio = audioplayer(audio_file_signal,audio_file_sample_rate); % play line selectline(axes_signal) PlayLineOnAxis(axes_signal,media_player_audio,media_button_play); % click button call back function media_button_play.ClickedCallback = {@PlayButtonClickedCallBackFunction,media_player_audio,axes_signal}; % Add key-press call back function object_figure.KeyPressFcn = @keyPressedCallBackFunction; % uREPET button call back function main_button_urepet.ClickedCallback = @UrepetButtonClickedCallBackFunction; % rectagle object rect_obj = gobjects(0); % convert Hz to indices hertz_to_frequency = @(value_of_frequency) round(resolution_of_octave*log2(value_of_frequency/min_freq_value)+1); seconds_to_time = @(value_of_time) round(value_of_time/(number_of_samples/audio_file_sample_rate)*number_of_times); % Enable buttons media_button_play.Enable = on; media_button_select.Enable = on; media_button_zoom.Enable = on; media_button_pan.Enable = on; main_button_urepet.Enable = on; main_button_background.Enable = on; main_button_background.State = on; % activate select button media_button_select.State = on; % update mouse pointer object_figure.Pointer = arrow; drawnow % close request function object_figure.RequestCloseFunction = @figureRequestCloseFunction; % Key-press callback function to the figure function keyPressedCallBackFunction(~,~) % if escape character if ~strcmp( ,object_figure.CurrentCharacter) return end % if any media is playing if isplaying(media_player_audio) % stop stop(media_player_audio) else % camples and sample rate audio_file_sample_rate = media_player_audio.SampleRate; number_of_samples = media_player_audio.TotalSamples; % Plot data on axes limits_of_plots = axes_signal.UserData.PlotXLim; selected_limits = axes_signal.UserData.SelectXLim; % calculate sample rate for audio if selected_limits(1) == selected_limits(2) % If select line range_of_samples = [round((selected_limits(1)-limits_of_plots(1))*audio_file_sample_rate)+1,number_of_samples]; else % If select region range_of_samples = round((selected_limits-limits_of_plots(1))*audio_file_sample_rate+1); end % Play audio with given rates play(media_player_audio,range_of_samples) end end % Mouse-click function (spectrogram) function SpectrogramAxesButtonCallFunction(~,~) % mouse location current_mouse_pointer_location = axes_spectrogram.CurrentPoint; % if mouse is outside the axes if current_mouse_pointer_location(1,1) < media_play_time_range(1) || current_mouse_pointer_location(1,1) >media_play_time_range(2) ||& current_mouse_pointer_location(1,2) < min_freq_value || current_mouse_pointer_location(1,2) >max_freq_value return end % If left click if strcmp(object_figure.SelectionType,normal) % Delete rectangle object delete(rect_obj) % Draw RIO from specified point rect_obj = images.roi.Rectangle(Parent,axes_spectrogram,& DrawingArea,[media_play_time_range(1),min_freq_value,diff(media_play_time_range),max_freq_value-min_freq_value]); beginDrawingFromPoint(rect_obj,current_mouse_pointer_location(1,1:2)); end end % Clicked callback function for the uREPET button function UrepetButtonClickedCallBackFunction(~,~) % If rectangle not valid or empty if isempty(rect_obj) || ~isvalid(rect_obj) return end % Position of ROI position_of_rectangle = rect_obj.Position; %width=heithg=0 if all(~position_of_rectangle(3:4)) return end % Remove close request call back. Allows creation of other objects object_figure.RequestCloseFunction = ; % update pointer to busy object_figure.Pointer = watch; drawnow % stop playing audio player if isplaying(media_player_audio) stop(media_player_audio) end % add original audio to undo audio_file_signal0 = audio_file_signal; cqt_audio_cell0 = cqt_audio_cell; % Frequency & time indices indices_of_frequencies = hertz_to_frequency(position_of_rectangle(2)+[0,position_of_rectangle(4)]); indeces_of_time = seconds_to_time(position_of_rectangle(1)+[0,position_of_rectangle(3)]); % rectangle from spectrogram audio_from_rectangle = audio_spectrogram(indices_of_frequencies(1):indices_of_frequencies(2),& indeces_of_time(1):indeces_of_time(2),:); size_of_rectangle = size(audio_from_rectangle); % 2-D cross-correlation correlation_of_audios = normxcorr2(mean(audio_from_rectangle,3),mean(audio_spectrogram,3)); % Remove zero padding parts correlation_of_audios = correlation_of_audios(size_of_rectangle(1):end-size_of_rectangle(1)+1,& size_of_rectangle(2):end-size_of_rectangle(2)+1); correlation_size = size(correlation_of_audios); % Max repetitions, min freq number_of_repetitions = 10; separation_of_Frequencies = 1; separation_of_time = 1; separation_of_Frequencies = separation_of_Frequencies*resolution_of_octave; separation_of_time = seconds_to_time(separation_of_time); correlation_of_audios(max(indices_of_frequencies(1)-separation_of_Frequencies,1):min(indices_of_frequencies(1)+separation_of_Frequencies,correlation_size(1)),& max(indeces_of_time(1)-separation_of_time,1):min(indeces_of_time(1)+separation_of_time,correlation_size(2))) = 0; % Loop over repetitions for repet_index = 2:number_of_repetitions % Frequency,time indices of the min repetition [~,maximum_index] = max(correlation_of_audios(:)); [frequency_index,time_index] = ind2sub(correlation_size,maximum_index);
correlation_of_audios(max(frequency_index-separation_of_Frequencies,1):min(frequency_index+separation_of_Frequencies,correlation_size(1)),& max(time_index-separation_of_time,1):min(time_index+separation_of_time,correlation_size(2))) = 0; audio_from_rectangle = cat(4,audio_from_rectangle,& audio_spectrogram(frequency_index:frequency_index+size_of_rectangle(1)-1,& time_index:time_index+size_of_rectangle(2)-1,:)); end % rectangles mask audio_rectangle_mask = (min(median(audio_from_rectangle,4),audio_from_rectangle(:,:,:,1))+eps)./(audio_from_rectangle(:,:,:,1)+eps); % If the background button is off, invert the mask if strcmp(main_button_background.State,off) audio_rectangle_mask = audio_rectangle_mask-1; end % Apply the mask to the CQT and spectrogram audio_file_signal = zeros(number_of_samples,number_of_channels); for index_of_channel = 1:number_of_channels cqt_audio_cell{index_of_channel}.c(indices_of_frequencies(1):indices_of_frequencies(2),indeces_of_time(1):indeces_of_time(2))& = audio_rectangle_mask(:,:,index_of_channel).*cqt_audio_cell{index_of_channel}.c(indices_of_frequencies(1):indices_of_frequencies(2),indeces_of_time(1):indeces_of_time(2)); audio_spectrogram(indices_of_frequencies(1):indices_of_frequencies(2),indeces_of_time(1):indeces_of_time(2),index_of_channel)& = audio_rectangle_mask(:,:,index_of_channel).*audio_spectrogram(indices_of_frequencies(1):indices_of_frequencies(2),indeces_of_time(1):indeces_of_time(2),index_of_channel); audio_file_signali = icqt(cqt_audio_cell{index_of_channel}); audio_file_signal(:,index_of_channel) = audio_file_signali(1:number_of_samples); end % Update the signal axes index_of_channel = number_of_channels; for child_index = 1:numel(axes_signal.Children) if numel(axes_signal.Children(child_index).YData) == number_of_samples axes_signal.Children(child_index).YData = audio_file_signal(:,index_of_channel); index_of_channel = index_of_channel-1; end end drawnow % Update the spectrogram axes axes_spectrogram.Children(end).CData(indices_of_frequencies(1):indices_of_frequencies(2),indeces_of_time(1):indeces_of_time(2))& = db(mean(audio_spectrogram(indices_of_frequencies(1):indices_of_frequencies(2),indeces_of_time(1):indeces_of_time(2),:),3)); axes_spectrogram.CLim = screen_color_limits; drawnow % Update the audio player media_player_audio = audioplayer(audio_file_signal,audio_file_sample_rate); PlayLineOnAxis(axes_signal,media_player_audio,media_button_play); media_button_play.ClickedCallback = {@PlayButtonClickedCallBackFunction,media_player_audio,axes_signal}; media_button_save.ClickedCallback = @SaveButtonClickedCallBackFunction; media_undo_button.ClickedCallback = @UndoButtonClickedCallBackFunction; % Enable nuttons media_button_save.Enable = on; media_undo_button.Enable = on; object_figure.RequestCloseFunction = @figureRequestCloseFunction; % Change pointer object_figure.Pointer = arrow; % Clicked callback function for the save button function SaveButtonClickedCallBackFunction(~,~) % Open dialog box to save file [audio_file_name,audio_file_path] = uiputfile(*.wav*,& Save Audio as WAVE File,urepet_file.wav); if isequal(audio_file_name,0) || isequal(audio_file_path,0) return end % file name full_file_audio = fullfile(audio_file_path,audio_file_name); % write audio file audiowrite(audio_file,audio_file_signal,audio_file_sample_rate) end % undo button call back function function UndoButtonClickedCallBackFunction(~,~) % Disable button media_undo_button.Enable = off; audio_file_signal = audio_file_signal0; cqt_audio_cell = cqt_audio_cell0; audio_spectrogram = []; for index_of_channel = 1:number_of_channels audio_spectrogram = cat(3,audio_spectrogram,abs(cqt_audio_cell{index_of_channel}.c)); end % Update axes index_of_channel = number_of_channels; for child_index = 1:numel(axes_signal.Children) if numel(axes_signal.Children(child_index).YData) == number_of_samples axes_signal.Children(child_index).YData = audio_file_signal(:,index_of_channel); index_of_channel = index_of_channel-1; end end drawnow % Update spectrogram axes axes_spectrogram.Children(end).CData(indices_of_frequencies(1):indices_of_frequencies(2),indeces_of_time(1):indeces_of_time(2))& = db(mean(audio_spectrogram(indices_of_frequencies(1):indices_of_frequencies(2),indeces_of_time(1):indeces_of_time(2),:),3)); axes_spectrogram.CLim = screen_color_limits; drawnow % Update the audio player media_player_audio = audioplayer(audio_file_signal,audio_file_sample_rate); PlayLineOnAxis(axes_signal,media_player_audio,media_button_play); media_button_play.ClickedCallback = {@PlayButtonClickedCallBackFunction,media_player_audio,axes_signal}; end end end
% Clicked callback function for the select button function SelectCLickedCallBackFunction(~,~) % update button status media_button_select.State = on; media_button_zoom.State = off; media_button_pan.State = off; zoom off pan off end
% Clicked callback function for the zoom button function ZoomClickedCallbackFunction(~,~) % update buttons media_button_select.State = off; media_button_zoom.State = on; media_button_pan.State = off; % enable zoom zoom_object = zoom(object_figure); zoom_object.Enable = on; % zoom x axes only setAxesZoomConstraint(zoom_object,axes_signal,x); %update pan pan off end
% pan clicked call back function function panClickedCallBackFunction(~,~) % update buttons media_button_select.State = off; media_button_zoom.State = off; media_button_pan.State = on; zoom off pan_object = pan(object_figure); pan_object.Enable = on; % set pan for x axis only setAxesPanConstraint(pan_object,axes_signal,x); end
% Clicked callback function for the background button function BackGroundClickedCallBackFunction(~,~) % change mouse depending on what is happening if strcmp(main_button_background.State,on) main_button_background.TooltipString = Background; elseif strcmp(main_button_background.State,off) main_button_background.TooltipString = Foreground; end end
% Close call back function function figureRequestCloseFunction(~,~) % stop playing life if isplaying(media_player_audio) stop(media_player_audio) end % close dialog box user_answer = questdlg(Close window?,& Close window,Yes,No,Yes); switch user_answer case Yes delete(object_figure) case No return end end
end
% Read imatlab icon function image_function_data = iconread(icon_name)
[image_function_data,~,image_transparency]& = imread(fullfile(matlabroot,toolbox,matlab,icons,icon_name),PNG);
%image to double precision image_function_data = im2double(image_function_data);
% Convert the 0 to NaNs image_function_data(image_transparency==0) = NaN;
end
% play icon function image_function_data = playicon
% upper half play triangle image_function_data = [nan(2,16);[nan(6,3),kron(triu(nan(6,5)),ones(1,2)),nan(6,3)]];
% whole black play triangle image image_function_data = repmat([image_function_data;image_function_data(end:-1:1,:)],[1,1,3]);
end
% stop icon function image_function_data = stopicon
% black stop square image_function_data = nan(16,16); image_function_data(4:13,4:13) = 0;
% black stop square image_function_data = repmat(image_function_data,[1,1,3]);
end
% Create project icon function image_function_data = main_icon
image_function_data = nan(16,16,1);
% black letters image_function_data(4:7,2) = 0; image_function_data(7:8,3) = 0; image_function_data(4:8,4:5) = 0;
image_function_data(2:8,7:8) = 0; image_function_data([2,3,5,6],9) = 0; image_function_data([3:5,7:8],10) = 0;
image_function_data(2:8,12:13) = 0; image_function_data([2,3,5,7,8],14) = 0; image_function_data([2,3,7,8],15) = 0;
image_function_data(10:16,2:3) = 0; image_function_data([10,11,13,14],4) = 0; image_function_data(11:13,5) = 0;
image_function_data(10:16,7:8) = 0; image_function_data([10,11,13,15,16],9) = 0; image_function_data([10,11,15,16],10) = 0;
image_function_data(10:11,12:15) = 0; image_function_data(12:16,13:14) = 0;
% Make the image image_function_data = repmat(image_function_data,[1,1,3]);
end
% select line for axes function selectline(axes_signal)
% select line as an array for graphic objects initialization line_selection = gobjects(3,1);
% mouse call back functions axes_signal.ButtonDownFcn = @SignalAxesButtonDownFunction;
% Mouse-click callback function for the signal axes function SignalAxesButtonDownFunction(~,~) % mouse pointer location current_mouse_pointer_location = axes_signal.CurrentPoint; % plot limits limits_of_plots = axes_signal.UserData.PlotXLim; % return if point is out of limits if current_mouse_pointer_location(1,1) < limits_of_plots(1) || current_mouse_pointer_location(1,1) >limits_of_plots(2) ||& current_mouse_pointer_location(1,2) < -1 || current_mouse_pointer_location(1,2) >1 return end % handle current figure object_figure = gcf; % lect mouse type type_of_mouse_selection = object_figure.SelectionType; % left click if strcmp(type_of_mouse_selection,normal) % replace selected item if ~isempty(line_selection) delete(line_selection) end %first line on audio singnal value_1_colour = 0.5*[1,1,1]; line_selection(1) = line(axes_signal,& current_mouse_pointer_location(1,1)*[1,1],[-1,1],& Color,value_1_colour,& ButtonDownFcn,@SelectLineButtonFunction); % second_line color_value_2 = 0.75*[1,1,1]; line_selection(2) = line(axes_signal,& current_mouse_pointer_location(1,1)*[1,1],[-1,1],& Color,color_value_2,& ButtonDownFcn,@SelectLineButtonFunction); uistack(line_selection(2),bottom) line_selection(3) = patch(axes_signal,& current_mouse_pointer_location(1,1)*[1,1,1,1],[-1,1,1,-1],color_value_2,& LineStyle,none,& PickableParts,none); uistack(line_selection(3),bottom) % Change the pointer when the mouse moves EnterKeyFunction = @(figure_handle, currentPoint) set(figure_handle,Pointer,hand); iptSetPointerBehavior(line_selection(1),EnterKeyFunction); iptSetPointerBehavior(line_selection(2),EnterKeyFunction); iptSetPointerBehavior(axes_signal,EnterKeyFunction); iptSetPointerBehavior(object_figure,EnterKeyFunction); iptPointerManager(object_figure); object_figure.WindowButtonMotionFcn = {@FigureWindowButtonCallBackFunction,line_selection(1)}; object_figure.WindowButtonUpFcn = @FigureWindowButtonUpFunction; % Update the select limits axes_signal.UserData.SelectXLim = current_mouse_pointer_location(1,1)*[1,1]; % right click elseif strcmp(type_of_mouse_selection,alt) % replace menu if ~isempty(line_selection) delete(line_selection) end % Update the select limits axes_signal.UserData.SelectXLim = limits_of_plots; end % Mouse-click callback function function SelectLineButtonFunction(object_handle,~) % type of selection type_of_mouse_selection = object_figure.SelectionType; % If click left mouse button if strcmp(type_of_mouse_selection,normal) % Change the pointer when the mouse moves EnterKeyFunction = @(figure_handle, currentPoint) set(figure_handle,Pointer,hand); iptSetPointerBehavior(axes_signal,EnterKeyFunction); iptSetPointerBehavior(object_figure,EnterKeyFunction); iptPointerManager(object_figure); % Add window button motion object_figure.WindowButtonMotionFcn = {@FigureWindowButtonCallBackFunction,object_handle}; object_figure.Windo
Abstract
The glass ceiling is a phenomenon that has been perceived to exist in the US. The phenomenon has been seen to prevent women and minorities from attaining higher positions in private and public corporations, educational institutions, and federal and state government bodies in the US. The Glass Ceiling Commission established in 1991 by the US Labor Department was the first government effort to address the phenomenon, and was supplemented by mandated Positive or Affirmative Action and Equal Employment Opportunity laws as per US law. While the situation did improve, yet, the phenomenon was seen to persist and even today, the same is a pressing issue that needs resolution so that women or minorities are not discriminated against with regard to sex, religion, national origin, color, etc. In as much as the issue concerns gender equality and employment opportunities in the US and elsewhere, various authors and experts have conducted studies on the phenomenon under various conditions, sample sizes, etc. While these authors generally have considered the glass ceiling as a persisting & prevalent fact at the workplace, particularly at higher levels of private corporations, yet some have recognized the factors that contribute to such situation, and maintain that some improvements have been observed in the working and pay conditions of women in the US and other countries. Many studies have tried to gauge the extent and kind of glass ceiling as prevailing in top Fortune 500 or 1000 companies and found that the highest executive positions still go to men, and women still find little place among the top decision-makers in any organization. This paper presents some relevant literature on the issue of a glass ceiling in the US workplace, highlights significant research findings, and generally confirms the view that much remains to be done so that the glass ceiling obstructing women aspirants from top posts are really broken.
Glass Ceiling: An Introduction
The glass ceiling is used in the context of inequalities between men and women and in describing perceived barriers to women in attaining higher positions in organizations or government. The glass ceiling is a seemingly invisible and impermeable barrier between women and the executive levels in an organization, which prevents them, despite their otherwise be eligible for the position, from occupying the highest positions of management, authority, or power. Thus, qualified women are discriminated against and prevented from occupying the top positions. The Federal Glass Ceiling Commission termed the glass ceiling as artificial barriers to the advancement of women and minorities that reflect discrimination&.a deep line of demarcation between those who prosper and those left behind (1995a, iii). It later on defined the Glass Ceiling as the unseen, yet unbreachable barrier that keeps minorities and women from rising to the upper rungs of the corporate ladder, regardless of their qualifications or achievements (1995b, 4). Cotter et al (Dec 2001) have identified glass ceiling as an inequality in race or gender, which is unexplained by other job-relevant characteristics of the employee (p. 657), which is greater at higher levels of an outcome than at lower levels of an outcome (p. 658), is a gender or racial inequality in the chances of advancement into higher levels, not merely the proportions of each gender or race currently at those higher levels (p. 869), and which increases over the course of a career (p. 661)
Glass Ceiling in the United States of America
In the United States, the Civil Rights Act of 1991 set up the Federal Glass Ceiling Commission to address the issue and put in place measures to promote opportunities of employment for women and minorities in positions of responsibility. The Glass Ceiling Commission identified three key areas relating to recruitment that helped create and perpetuate the phenomenon. One of the findings was that corporations, even Fortune 1000 companies, generally filled upper and mid-level positions through word-of-mouth referrals, particularly inside closed sub-cultures. The Department of Labor and the OFCCP (Office of Federal Contract Compliance Programs) attempted to monitor and ensure that there was no discrimination in deciding on internal job promotions and recruitments by business enterprises under federal government contract in respect of racial or national origins, sex, color, disability or even veteran status, and religion. Both the Labor Department and the OFCCP were primarily concerned with ensuring good faith effort in selecting women and minorities for employment. They defined good faith effort as a real and continuous effort for ensuring that women and minorities were included impartially in the recruitment process. The second method of recruitment was through employee referrals whereby selections for employment tended to favor closed communities, rather than ensure equal opportunities for employment of women or minorities. A third approach followed by major corporate firms in their recruitment process was that such firms often sought the help of employment search firms, which were unaware of the need to comply with equal opportunity and affirmative action requirements as mandated by US law.
Some Pointers to the Glass Ceiling Effect in the US
The magnitude of the problem can be gauged from the data collected in various studies that have shown that few women were found to occupy the highest levels in US most corporations. For example, in one study in 1995 of the top Fortune 1000 companies, it was found that women occupied only 8% or only around 813 out of 10,000 available seats on the Board of Directors of these companies (Micro-quest Corp., p. 7). In another study, which was more glaring, the US Glass Ceiling Commission pointed out some serious lacunae in the process of recruitment at major corporate entities and also identified two other factors as the significant causes for the glass ceiling effect. One was that women did not have sufficient involvement or opportunity to participate in corporate development. Another was that women and minorities themselves failed to realize that Equal Employment Opportunity or EEO was a concern for all, and not only for a single person or deprived entity.1 While efforts have been made by the management at corporations to address the issue, it is commonly believed that the Glass Ceiling still exists and is quite widespread and deep-rooted as to defy a long-term solution, unless efforts are made to root it out from within. Thus it is that despite genuine efforts on the part of successive federal governments, women in the US still face barriers to their advancement within organizations, particularly in the higher hierarchy. A GAO study conducted among ten industries in 2000 has confirmed this view and found that although some progress had been made, yet the glass ceiling was still in place, and still necessitated strategies for removing attitudinal obstacles so that women could break through the glass ceiling (Dingell, J.D., and Maloney, C.B., pp. 1-19).
Many authors like Arfken, Bellar, and Helms (p.183), Baxter and Wright (p. 276) and Mani (p. 545) have recorded their observations which, according to them, and as substantiated by other earlier or contemporary authors, point to the existence of the problem in both private and public organizations. While some authors have tried to discover the reasons for such situation, others have tried to analyze the phenomenon and given their considered views on the matter as relating to other relevant social, economic, and managerial issues like wage levels, the profitability of the (as sourced from the Glass Ceiling Commission, 1991) organization, equal opportunity, etc Very few authors, it appears, actually support the reverse view, that the glass ceiling in the US is a myth or that it does not exist. Actually, most experts have taken the existence of a glass ceiling in corporations, the government, and educational institutions as a fact and have only attempted to analyze related issues and commented on ways to resolve the problem. They have all been concerned with the need for improving employment opportunities for women, removing inequalities in the workplace, and better-empowering women in spheres like education, workplace, government, or elsewhere. A brief attempt is made in the following paragraphs to throw light on the phenomenon, what the analysis of various studies point to, and what needs to be done to address the issue.
A study by Bell, McLaughlin, and Sequeira (2002) is first cited as a case in point that throws valuable light on the phenomenon of the glass ceiling. In the study, these authors examined the relationship between discrimination, sexual harassment, and the glass ceiling, and observed that the same factors that caused the glass ceiling also caused sexual harassment of women in the workplace. They list three forms of sex discrimination as primarily affecting women in the workplace, viz., overt discrimination, sexual harassment, and a glass ceiling. According to them, Overt Discrimination was the use of gender as a criterion for affecting workplace-related decisions (p. 66). They also make some observations on women executives. One is that employing women at top levels of management help reduce sexual harassment to some extent in the workplace. A second observation is that women rarely ever themselves perpetrate sexual harassment themselves. Thirdly, and quite obviously, women view harassment differently than men view them. Fourthly, women are more likely to experience sexual harassment than men (p. 70).
Another expert, Guyot (2008) most tellingly observes based on a study of women in government jobs in the US that, many ascendants to government offices in present-day America are women. He also mentions other indicators of womens progress in education and job diversities. But he too avers that greater male variability restricts gender equity (p. 1-5). Other authors like Arfken, Bellar, and Helms in a study conducted on 102 public companies in Tennessee in 2002 have also observed that representation of women in the boardrooms of those companies was almost nil and out of a total 102 companies held publicly, only 38 i.e., 37 percent had at least a woman on their company boards (p. 183).
But in another study, which was quite unlike other studies of the time, Eyring and Stead (1998) surveyed and obtained results from sixty-nine companies in the Houston area. While they acknowledged the existence of the glass ceiling in various States, including incorporations in the Houston area, as also in other parts of the US, they evaluated the results and made certain conclusions regarding the success in some major companies which had broken the glass ceiling so that women could reach the topmost positions in those companies. Those firms tried to implement certain measures, which they felt, could facilitate the breaking of the glass ceiling on a larger scale through effective benchmarking. To this end, the authors even listed the strategies that the companies tried to implement as also the most common practices that other companies needed to adopt. Essentially, they evolved a list of top common practices which could serve other companies as benchmarks (p. 245-251).
Perhaps, one of the most significant studies and unique approach is that due to Baxter and Wright (2000, pp. 275-294), which is perceived by this author as having the potential to impact the direction in which future studies on the glass ceiling hypothesis could proceed. While the study is based on their observations in countries other than the USA, yet, their approach is still relevant to the US. The study is inconclusive and perhaps raises more questions than it answers. But this writer would like to believe, though it may seem strange, that raising questions as the study does is a small step in the right direction. Views on the issue are as diverse as the authors themselves and it may well be that results of studies are biased one way or the other. Accordingly, a somewhat detailed description of their study is felt essential and duly provided in this paper in some detail.
In their study, Baxter and Wright succinctly observe that &although it may now be the case that women can get through the front door of managerial hierarchies, at some point they hit an invisible barrier that blocks any further upward movement. (p. 275). To judge how correct they are in their hypothesis would require an analysis of the data and observations derived therefrom, and an attempt is made to provide the same in the following paragraphs. However, we must first clarify that Baxter and Wright view the glass ceiling as obstacles to the promotion of women as relative to men, which systematically intensifies in varying degrees and steps, as women progress up the organizational hierarchy. They also repeat the common view that if it exists, the glass ceiling must be more pronounced in discriminating against women in employment opportunities and promotions, the higher they attempt to go along the organizational hierarchy. The state generally that the glass ceiling seems to be very much in existence and that this may be confirmed even by casual observation, without the help of systematic research (p. 276).
The authors cite an example in which they consider around six managerial levels within the organizational hierarchy, viz, non-management (0), supervisors (1), lower managers (2), middle managers (3), upper managers (4), and top managers (5). If the probability that a woman at level n will be promoted to a level n+1 is Pr (W: n’n+1) and the probability for a man in an identical situation be Pr (M: n’n+1), and if the Glass Ceiling hypothesis were to be true, it obviously can be denoted mathematically as that: the ratio of Pr (W: n’n+1)/ Pr (M: n’n+1) would decline with an increase in n. In this case, the higher the level in the managerial hierarchy, the higher will be the value of the ratio, thus pointing to the existence of gender differences preventing equity in corporate promotions in an organization. An ideal case would mean that the ratio is 1 where there are no such gender differences in organizational promotion exercises. The existence of gender differences in an organization, by the same logic, would imply an invariable ratio signifying that gender discrimination may be widespread across the organization and yet show no progressive non-equitable employment opportunities at higher levels in the organization (p. 280).
Baxter and Wright provide two cases (Table 1). In the first case, they note that 50 percent of men but only 25 percent of women get a promotion at any level and conclude that discrimination is constant across the levels of hierarchy (p.277). In the second example, they observe that the identical ratio is 2:1 for promotions to line supervisor level, but declines to a more equitable 1.16:1 for top promotions. However, they also note that the proportion of women in top posts decreases substantially from supervisory level to top positions, viz., women are only 6% in top posts as compared to 25 percent in supervisor levels. The conclusion that they derive from the results of their study is that the situation does not imply the existence of any significant glass ceiling effects, unless the ratio of the probabilities of women compared to men being promoted into or entering a given level of management declines as they move up the managerial hierarchy and also this deterioration in relative promotion probabilities is due to intensified barriers to promotion as opposed to some other mechanism (p. 277).
Obviously, the above study attaches significance to the changes in relative probabilities of men and women as they are promoted up the organizational hierarchical ladder. It essentially considers changes in the gender gap in managerial authority by the organizational hierarchy in three countries, Sweden, Australia, and the United States of America all of which are capitalist and developed economies (p. 278). And, still, more poignantly, the authors themselves view the results of the study, which uses as a primary model the series of regressions given by the logarithmic series, Log [Pr(n + 1)/Pr(n)] = an + BnFemale, as suggestive rather than conclusive. Let us examine what actually the model is, so as to understand the results better.
First, in the model, we need to mention that the sample was limited to two adjacent authority levels, n, and n+1. While Pr(n) denoted the probability of being in hierarchical level n, Pr(n + 1) was the probability of being in n + 1 level, with subscript n indicating coefficients of the equation for the contrast between level n and n + 1 (p. 280).
Second, the coefficient termed Bn denotes the gender gap in authority at the level n. This value of the coefficient is zero when there is no gender gap, whereas it is less than zero when gender discrimination does exist at higher levels (the probability of a woman reaching a higher level than n, i.e., n+1, is less than that of a man in this case). In the extreme case, women are better placed against men in case the coefficient is more than zero (positive).
Third, the gender coefficient given in the previously given regression equation is perceived to be useful in estimating the gender gap in authority caused directly by gender issues, and not by issues related to gender. Therefore, the need to factor in secondary job attributes as well as individual characteristics necessitated the authors to include another equation, a secondary regression series, as follows:
Log [Pr (n + 1)/Pr (n)] = an + BnFemale + iBniXi
In this equation, Xi denotes the various compositional controls as listed in Table 2. The net gender gap in the organizational hierarchy is represented by Bn. The most important consideration by the authors in using both sets of equations is that the existence of a glass ceiling in the workplace would be indicated by the fact that Bn would be more negative with an increase of n (p. 283).
Fourth, the Baxter and Wright study also included two other supplementary models in addition to the two equations given above. These models incorporated three sets of alternate variables different from the ones used with the previous regression equations (Table 5). One reason they did so was to offset the low incidence of actual cases and resulting small sample sizes, which effectively helped to increase the sample sizes based on which the coefficients could be more accurately estimated. Also, the supplementary models could realistically predict real-life situations where the different hierarchical levels in an organization are actually non-homogenous and non-uniform in categorization. It was quite difficult to make the strict assumptions under the basic model, which was essential to ensure accurate prediction of the glass-ceiling hypothesis, and the use of an alternate set of variables could, they felt, only add to the degree of accuracy in such prediction (p. 284-285).
Fifth, the results of the analysis of the data, as provided by Baxter and Wright, and based on the primary or basic regression coefficients, showed that among all the three countries, there was a distinct gender gap in authority which was significant statistically between levels 0 and 1. This primarily implied that in each of the three countries, the odds that a woman would become a bottom-level supervisor i.e., Level 1 supervisor, was substantially less than that men would become Level 1 supervisors. This was substantiated by the data provided in the study (Table 5).
Lastly and more importantly, while the study did confirm the existence of a marked gender gap in authority, the authors could not in any way prove conclusively that the glass ceiling did exist in workplaces in the US. This would have been indicated if and when, the coefficients used in the primary regression equation were found to be substantially more negative at the higher hierarchical levels in the organizations under study. In this respect, the results found were neither conclusive nor could any significant indication be obtained that could point definitely to the glass ceiling hypothesis in the US. (p. 285). In fact, the authors actually found that, at least in the US, although the gender gap could be inferred as obstacles to the promotion of women in an organization, yet, once the women entered the authority structures, women were treated at par with men. Hence, as per the authors themselves, the results did not point to the glass ceiling hypothesis (p. 286).
However, even if the Baxter and Wright results did not signify the existence or non-existence of the glass-ceiling phenomenon in the US, the results of their study did indicate a few things. One was the existence of a distinct gender gap in the authority structure in organizational hierarchies, even though these were more pronounced at lower levels than at the highest levels of managerial hierarchy. This lent credence to the existence of a sticky floor, rather than that of a glass ceiling. Thus, there was no reason to assume from the results, despite its limitations as to sample size, lack of factoring in of all personal attributes, case scenarios, etc, that there did exist a systematic glass ceiling in the US. But the results did indicate a larger and more serious problem, which was that sex or other form of discrimination appeared to be either constant at all levels within the organizations or even more pronounced at the bottom levels (p. 289-290).
Mani, in one study in 1997, even found that the similarities between male and female members of the State Executive Services indicated that federal executives were treated equitably, irrespective of their gender (p. 545-558). The data also seemed to indicate that females were acceptable in state government employment. This perhaps also supports the later views of Baxter and Wright (2000, pp. 275-294) that a glass ceiling, if it existed in private companies, could be caused primarily by recruitment practices, which did not follow affirmative action and equal opportunity mandatory requirements. Another cause was the lack of developmental assignments for women employees. Mani also opines that top-level decision-makers in organizations need to be held accountable for equal employment opportunities if at all the number of women in higher managerial positions were to increase (p. 545).
Wirth, in her study (2001, p. 243) however maintains that the glass ceiling does exist, and seems unbreakable and this is confirmed by available research. She observes that generally, women constitute only 20 percent of the management jobs in most nations, although around 40 percent of the worlds labor force is made up of women. The situation is more pronounced at higher hierarchical levels in an organization, particularly in the most powerful organizations, where women hold only around 2 to 3 percent of the top posts. The author further says that although women in the US are better qualified and compose as much as 46 percent of the workforce there, yet, in a survey of the 500 biggest Fortune 500 companies by Catalyst in 1997, it was observed that women held only around 2.4 percent of the top management posts and that too only a minuscule 1.9 percent were made up of top-paid officers and directors (p. 243-244). Elsewhere in the same article, she avers that while diversity has been one of the measures adopted by various enterprises worldwide, affirmative action needs to be an essential part of an equal opportunity policy so as to provide equity in employment. She also lays emphasis on management skills development and on-the-job training, which can provide women, in her view, with self-confidence, knowledge, techniques and the contacts to advance further in the organization (p. 245).
In another of her thoughtful articles for the ILO (2002), Wirth also speaks of the glass ceiling as that which blocks women from holding or attaining senior level executive posts, but mentions another problem which she aptly calls the sticky floor problem, which she avers to as forces that relegate women to the bottom of the economic pyramid. She quotes research from the ILO, which generally points to the glass ceiling effect becoming more pronounced, the higher one rises up the organizational hierarchy. According to the ILO, as Wirth quotes, women only hold a small percentage of the worlds top executive positions in the biggest corporations, and the position is such that, women constitute only 13.4 per cent of the worlds Parliamentarians, around only 8 per cent of the countries boast a woman head of state, and, perhaps more significantly, only 1 per cent of trade union leaders are women. This is spite of the fact that trade unions worldwide boast a women membership of around 40 per cent of the whole (p. 2) For meaningful change, Wirth maintains, there is need to diversify occupations for men and women, inculcate greater involvement in and equitable sharing of family responsibilities, introduce innovations in human resources management, and also, build up entrepreneurial abilities in women (p. 6).
While the workplace situation has been the common ground for research on the glass ceiling effect, some authors have also attempted to discern the existence of the phenomenon in the education system. Meier and Wilkins in such a study (2000) on the US public schools observed that school districts are classic glass ceiling organizations. They also observed that in the set of school districts studied, women comprised of 75% of teachers, some 51.3% of assistant principals, around 47% of principals, and around 35.8% of assistant superintendents. But significantly, and reinforcing the views that glass ceiling did exist in the US education system, the study also concluded that only 8.4% of the women were superintendents, the top most position along the hierarchical ladder (p. 8).
In a study by Wolfers (2006) for determining the effect of CEO gender on company stock returns, it was estimated that the announcement of a female CEO in a company would lead the stock prices to decline by about 4 per cent (p. 13) and such decline was linked to the perceived ability of the female to lead the company. However, Wolfers did not find any systematic differences in returns from holding stock in companies led by women, and did not find any correlation between gender of company CEO and stock performances in the financial markets. Thus, while most other contemporary literature may have pointed out to a glass ceiling existing in publicly listed companies, Wolfers study perhaps points to the fact that, gender gaps even if they do exist in a company, do not appreciable influence stock performances and hence profitability of that company. other way and he found no such reflection in the results oh his study and survey.
We also have Browne (1995) whose observations on the phenomenon are revealing. Browne observed that men wish to achieve hierarchical status and accordingly take career risks essential to get a prized top position, and also work longer hours to acquire organizational position and greater incomes. However, women are more driven by desire to take part in their childrens daily activities, and this contributes to differences in attitudes of men and women and also causes the glass-ceiling phenomenon at the workplace. There are marked differences between males and females, in competitiveness, risk-taking, social orientation, etc and Brown believes that these in turn appear to lead to sexual differences, and occupational distributions among males and females in organizations (p. 27).
Conclusion
This paper concludes that much remains to be done at both government levels and at the individual organizational levels, if at all the glass ceiling obstructing women aspirants from the top most managerial positions of real authority or power is to be broken. While some progress has been made over the last few years, problems do persist. In one report the GAO (2002) assessed the financial conditions of women in 2000 and compared the same with that in 1995. It found that most of the women managers were progressively worse off financially with time 2. In course of the study, data from around ten industries were evaluated. These industries were business and repair services, public administration, educational services, communications, entertainment & recreation services, retail trading, finance and insurance, real estate, and professional & other medical services. The ten industries together employed around 70 per cent women. It found that pay differences between men and women increased between the years 1995 to 2000 in as many as seven of the ten industries reviewed. Thus, pay of women managers in the entertainment sector in 2000 decreased to 62 per cent of what their male counterparts received in 1995, which was 83 per cent. An identical decrease from 86 to 73 per cent, 76 to 68 per cent and 90 to 88 per cent was observed in case of communications, finance, and professional medical services industries, respectively (Wirth, 2004, p. 31).
A common view perhaps is that the problem appears to stem more from attitudinal discrimination rather than an institutional process or system put in place by insensitive organizational management. Women are also constrained, whether in managerial or non-managerial roles, by their gender and natural inferior physical strength (which prevents them from putting in more work hours and late hours), their preoccupations with family life, and the lack of adequate skills development and managerial training. The addressing of the glass ceiling phenomenon, if at all it does exist in an organization, needs among other things two most important steps, as this author would like to believe. One is that women must be more conscious of their rights at the workplace, know the legal issues involved, and, more importantly, insist that they be given equal rights in empl
Introduction
Many people do not understand the complexities associated with hotel development projects (Kirkland 2015). The progression from concept to the drawing board and final handover is a lengthy process. It is full of risks and uncertainties that continually threaten the successful execution of the project (Kirkland 2015). Construction projects are more than just simply delivering buildings and structures. They are required to reflect the long term business needs of those who commission them. At the same time, they are expected to deliver the expected benefits. Effective delivery requires players in the industry to clearly understand the long term needs of the client. The needs are then delivered efficiently and economically (Eyster 2003).
In the past, cost was the most important factor in the construction industry. It was the yardstick by which success of a project was measured. However, in more recent times, newer concepts have emerged. For instance, value and risk management has largely been incorporated into recent construction projects (Eyster 2003). Jensen (2001) provides a working definition of value. According to Jensen (2001), it is defined as a measure of customer satisfaction relative to the level of effort to achieve that gratification. Value management clearly articulates what represents worth in terms of the benefits of the project. It links this to the most cost effective design solutions (Kirkland 2015). Value management complements efficient delivery by ensuring that efforts are made to deliver the right buildings. Risk, on the other hand, is the uncertainty that is inherent in plans (Dempster 2002).
It is the possibility that something that may affect the prospects of achieving the business or project goals may happen. Risk management deals with the identification of the causes of these uncertainties. It also entails putting in place measures aimed at minimising their adverse impact on the project. To achieve this, projects are monitored from the onset to ensure that the right conditions for a successful delivery are provided. Value management and risk management complement each other in that. To this end, the latter can reduce risk, while the former provides opportunities to increase value (Dionne 2013). Value needs to be clearly articulated from the onset and later delivered in the finished product. Unless this is done, its maximisation is not possible. On the other hand, if risk is not identified and its consequences controlled, value may be destroyed (Dionne 2013).
RIBA Plan of Work is a bedrock document for architects and other players in the construction industry. It provides a shared framework for the organisation and management of building projects (Sinclair 2013). It is widely used as a process map and a management tool. The document avails important work stage reference points used in a wide range of contractual and appointment documents (Sinclair 2013). The RIBA Plan of Work 2013 consists of eight stages. The phases are identified by the numbers 0-7. Generally, the stages follow each other in sequence. However, in certain projects, some aspects of design make it necessary to create an overlap between specified steps (Sinclair 2013).
In this paper, the author will articulate the concepts of value and risk management in the construction of a luxurious hotel using the different stages outlined in RIBA Plan of Work 2013.
RIBA Plan of Work Stage 0: Strategic Project Overview
According to RIBA, stage 0 requires a project to be strategically appraised and defined before a detailed brief is prepared (Sinclair 2013). It is especially important when it comes to sustainability. In this case, renovation or restoration of an existing structure is more preferable than construction from scratch. In this stage, the consultancy firm found it more prudent to integrate the six categories of value identified in the CABE value driver categorisation.
Value 1: Maximisation of Business effectiveness
According to the value, the facility to be built should deliver the benefits associated with five star hotels in an efficient, economic, and effective way (Huang 2011). In the proposed hotel project, the luxury and comfort of guests is of essence. The building should typify luxury across all areas of its operations. To achieve this, the firm proposes that the building should be fitted with such facilities as spas, cinemas, high end restaurants and casinos, swimming pools, and accommodation facilities only found in 5 star hotels.
The facilities should display excellent design quality and great attention to detail. As such, the patrons will have access to a wide range of amenities. In addition, the management will be able to provide them with customised services. The building should also be fitted with the latest advancements in technology. It is mainly because the new technological trends in the hospitality industry will play a key role in delivering a personalised experience to the guests. They will also improve management operations, leading to increased efficiency and reduced costs.
Value 2: Effective Project Management and Delivery
The value relates to the management process used and the selection of an integrated team working throughout the supply chain (Eyster 2003). Effective project management can only be achieved by a specialised team conversant with the needs of the hotel industry. The value is of great importance to the current project since its effective implementation provides opportunities to maximise value and minimise waste at every stage of the procurement and construction process. According to this concept, the project team should be comprised of highly skilled and experienced personnel in the industry. As such, their advice and decisions will provide the required technical competence to produce a well-constructed and designed hotel. In addition, the design team should exhibit a high level of integration, coordination, and communication to cover all aspects of the project. Outside expertise should also be sought for newer and better designs.
Value 3: Financial Performance
According to this value driver, any project should be affordable (Eyster 2003). As such, all the resources set aside for the undertaking should be used to optimise the benefits of the organisation that will use the hotel. The Dubai project is required to deliver a 5 star hotel. It will have a total of four hundred rooms on a 25000 square meter land. The AED500 million project is expected to have state-of-the-art facilities, such as theatres and a variety of world class restaurants, all under one roof. The trees and vegetation from the previous occupant will be retained at the site. They will be complemented by an extensive landscaping scheme and a wildlife garden. The outer appearance of the building should outdo all other 5 star hotels in the locality. Landscaping the area around the hotel will give it an edge over other facilities since only a few of them have enough space for outdoor activities.
Value 4: Positive Impact on the Locality
The driver describes the impact of the building on the surrounding area and the people who will use or visit it (Huang 2011). The hotel will be the first to have a freshwater aquatic wildlife garden for recreational purposes. As such, the facility will impact positively on the environment. It will also greatly impact on the overall appearance of the community. The hotel is set to be used as a benchmark for the quality of buildings that will be put up in the city in the future. Its lighting and architecture will bring about the feeling of a safe and inspiring neighbourhood. As such, the designers are requested to come up with a building that has ample external lighting. The external design of the building should make the hotel an important landmark in the locality. From the perspective of this value, the project will create a place that positively contributes to the environment. It will avoid creating an isolated building (Huang 2011). In addition, countless jobs will be created for the local community.
Value 5: Minimise Environmental Impact and Operation and Maintenance Costs
The value covers the impacts of the building on the natural environment (Kirkland 2015). As such, the project management team is advised to ensure that all issues of environmental sustainability are addressed. It is important to note that the value does not refer only to the external environment. On the contrary, it also addresses the internal surroundings. According to this driver, the area within and around the project should be cleaned regularly. As such, the designers and other workers should have enough time to make changes to finishes, layout structure, and other engineering systems while the building is still ongoing.
The hotel should also be able to accommodate future physical and natural environmental changes. Consequently, the buildings finishes and components should be durable enough to resist wear and tear. To conserve energy, the design team is required to fit the building with solar panels. The aim is to reduce energy consumed by external sources. Large glass displays in all rooms will also significantly reduce the need for artificial lighting during the day.
Value 6: Compliance with Third Party Requirements
The above value driver is concerned with the relationship between the building and the stakeholders (Rosalind & Karanikola 2014). It is also largely concerned with the compliance of the project with the appropriate legislations. Every building project in the United Arab Emirates is required to comply with stringent legislations throughout the project lifecycle (Schnapper & Rollins 2014). In this project, stakeholders who form a large portion of the third party will also be extensively consulted throughout the construction process. Elaborate feedback mechanisms will also be put in place to enhance ongoing consultations with stakeholders. Assessment tools, such as Design Value Indicators, will also be used to assess how well the requirements of the stakeholders are met. Health and safety agents will also be engaged to ensure that the building attains the standards required by law.
RIBA Plan of Work Stage 1: The Project Budget
A budget is one of the most important tools in the business and construction sector (Baumgartner 2006). To designers and developers, it indicates how much time should be spent on specific areas of the design. It is used by the management to analyse the progress of the undertaking. The projects budget is a detailed estimate of all the costs that will be incurred in completing the project (Baumgartner 2006). It contains more information compared to the high-level financial plan generated in the earlier phases of the undertaking. A conventional budget highlights various items. They include expenses on wages and raw materials. It is important to note that a financial plan should be regarded as an estimate of expenditure.
The label should remain until it receives approval. The aim is to manage expectations and prevent miscommunications (Baumgartner 2006). Cost models play a role in the preparation of a budget. They are mathematical algorithms or parametric equations used to estimate the costs of a product or a project (Munns & Al-Haikus 2015). The results of the models are used to obtain the approval needed to proceed with the undertaking. They are factored into the business plans and budgets. The model provides a consolidated construction cost image of a proposed development type (Raftery 2015). However, each cost model has to be normalised and index-linked.
Cost models are the basis of benchmarking. Benchmarking is an essential tool used to predict the cost of construction at the inception stage of projects (Tsang & Chen 2013). In this undertaking, the cost model of a successful 5 star hotel project in the United Arab Emirates will act as the foundation on which benchmarking will be carried out. The specific hotel was chosen for its close resemblance to the proposed project. It is also located within the city centre and is not an ocean front property as is common with most 5 star hotels in Dubai (refer to appendix 1).
Data from the benchmark hotel cost model indicates that the unit cost of a 4-star and 5-star hotel in Dubai ranges from AED30, 000 to AED40, 000 per sq.m of construction floor area respectively. The figures are set at the 3rd quarter 2014 price level (Tsang & Chen 2013). The variance in unit cost is mainly due to variations in area proportions among BOH, food and beverages, recreation, guestrooms, and the sophistication of external facade and hotel interiors. The cost model used in this paper is based solely on the benchmark framework. It is also important to note that some items were omitted in the current cost model. They include operating equipment, such as kitchen utensils and trolleys, and room amenities, such as curtains, external work, and landscaping outside the building. Design and consultancy fees and legal and marketing expenses are also excluded (see appendix 2).
As stated earlier in this paper, most 4-star and 5-star hotel projects in Dubai cost from AED30,000 to AED40,000 per sq.m of construction floor area. As such, the rates in the cost model for the current project may seem extravagant and exaggerated. However, it is important to note that building costs have increased significantly in the 2015 financial year (Munns & Al-Haikus 2015). It is also important to ensure that the hotel is able to rival and competitively compete with other 5-star facilities in Dubai. As such, the cost model allocates more money to design and detail.
RIBA Plan of Work Stage 3: Developing the Design
Justification of Costs
The entire building project is expected to cover a total area of 20000m2 of the 25000m2 plot. By providing an analysis of cost by area and function, the firm was able to ensure that expenses were allocated to those parts of the hotel that would deliver the best returns on investment over the shortest period of time. As such, more attention was given to the outside appearance of the building. The money allocated to wall finishes would allow for the application of skim coat plaster and paint to corridor and bedroom walls. It would also allow for enhanced finishes to bedrooms and bedroom corridor areas. Bathrooms, toilets, and spa areas will also be fitted with stylish stone tiles. The main aim will be to create a lasting impression to all guests in the hotel.
Financing of floor finishes is expected to cover for such activities as advanced tile carpeting at the front of the building, ceramic tiling at the back of the house, mat well at the entrance, and vinyl flooring and skirting at the back of the building. Money allocated to external walls, windows, and doors will allow for special construction designs, such as secondary glazing to windows on the front elevation and Storley height glazed screen wall to ground floor entrance with motorised entrance and slide pass doors. It will also provide for a glazed canopy at the entrance.
The money allocated to ceiling finishes will allow for painted plasterboard ceilings for bedrooms and corridors, including access panels and bulkheads. Public areas will also be fitted with suspended plasterboards with a paint finish. Special ceiling tile design will be installed in the kitchen areas in compliance with the hygiene standards of 5 star hotels. Installation of five different lifts and a staircase will allow for easy movement of guests and staff within the building. The lifts will include a public escalator for use by guests, a service and fire fighting lift, for emergency response purposes, a luggage lift, and a platform lift. Special attention was also given to communication installations. Money allocated to the sector will cater for the installation of fire alarm and smoke detection systems, telephone and data cabling, audio and television distribution network, CCTV and access control systems, and bedroom door access cabling.
Report on how to Obtain a 10% Budget Cut from the Design Team
Money is a limited resource in spite of the fact that it is the main driving force behind any project (Raftery 2015). Financial difficulties encountered during an ongoing process can have adverse and critical effects on the project. However, this can be avoided by cutting the budget cost and by making minor adjustments to the design of a building. However, before the design changes are made, value engineering has to be done (Rhee & Yang 2015). Value engineering study is an organised system of investigation using trained multi-disciplined teams to analyse the requirements of a project.
It is used for the purposes of achieving the essential functions of the undertaking at the lowest total cost (Schnapper & Rollins 2014). To achieve this goal, contractors and specialists have to retain and develop the specified function, reliability, quality, and safety. In addition, they should reduce the total cost of the project by eliminating any unnecessary costs in applied construction method and equipment material service and process (Schnapper & Rollins 2014). In this section of the paper, the consultancy firm suggests different areas that can be targeted to effectively lower the budget by 10% for a value engineering study.
To start with, a lot of money would be saved by reducing the square footing of the entire building. Decreasing square footage of a building is known to dramatically reduce building costs by up to 10 percent. However, for the current project, lowering the square footage would adversely affect the size of the hotel rooms. In addition, in the United Arab Emirates, large rooms translate to increased luxury. The situation is different in the United States where small is seen as cosy and efficient. The issue can be remedied by building more storey floors and reducing outward construction. The strategy is seen in a ranch design (Patterson & Neailey 2002).
Targeting reduction of the square footage of the building is likely to help in achieving the envisaged savings. At the same time, it will minimise the negative impacts on the quality and integrity of the project. The reason is that each meter square of space saved would reduce the cost by AED44,964. What this means is that reducing the total space by 1000m2 would save a total of AED44,964,000. The money allocated for the roof design would also be significantly reduced by use of cheaper but equally luxurious covering plans. Construction of expensive and high design roofs and ceilings also requires expensive and highly experienced labour force, which is costly. Highly complicated roof and ceiling systems are visually interesting.
However, the value engineering study should come up with less expensive but equally luxurious designs. Such redesign strategies can also reduce the costs of air conditioning systems. For instance, decreasing the duct size, A/C units, and furnace units of an air conditioning system can reduce costs while still maintain the same operating efficiencies. Reduction of the labour force can also significantly decrease the overall budget. In the project, labour costs account for over 20% of the total project expenditure. Going forward, a 10% decrease in labour force would swing building costs by approximately 3%.
RIBA Plan of Work Stage 0
Strategic Risk Assessment
Strategic risk assessment is essential as it minimises expenses while maximising profits. Its management has a huge impact on any project given that it ensures the undertaking is completed within the stipulated parameters (Huang 2011). It is categorised into two. The two include internal and external risk assessment. The first is usually easier to identify and manage. The reason is that it is within the firms reach. However, the second is more elusive as it is beyond the reach of the organisation (Huang 2011).
Internal risk assessment
It is normally carried out by the project team, contractors, and other partners. Financial solvency of the partners is one of the major internal risks facing the project (Huang 2011). A huge capital outlay will be required to implement the plan. Furthermore, capital reserves have to be readily available for allocation in such large scale projects. It is mainly because at times, these resources may be needed at a short notice due to an emergency or an unplanned additional phase that may require huge capital injections. As a result, it is of great importance for the partners to be able to cater for any additional charges in the construction phase. Alternatively, the partners should be able and willing to access other sources of revenue, such as bank loans, to ensure that the project does not stall.
The wellbeing of the personnel is also an important internal issue (Huang 2011). Issues to do with the members of staff may have a huge impact on the investment. The reason is that these stakeholders are the ones who primarily carry out the relevant activities. In case of an illness or unprecedented termination of a key member, the project may be adversely affected. Finding a replacement for a highly experienced and skilled employee is an uphill task and may lead to delays in the project. Infrastructural problems also pose a risk to the undertaking (Eyster 2003). They mainly involve staff and equipment accommodative structures. A huge project like the current one requires equipment that is technologically advanced. It will include software, hardware, and servers. The firm should be able to meet the accommodation requirements for the yet to be installed equipment and the resting area for the workers (Dionne 2013).
External risk assessment
The threat is hard to identify, analyse, and manage. It is mainly because it involves factors that are usually out of the control of the parties involved (Dionne 2013). External factors pose a major threat to any building project. As such, there is need for regular evaluation to identify and deal with these external factors at an early stage. Below are some of the major peripheral risks that could potentially affect the project:
Volatility of raw materials in the markets
The prices of most commodities have risen in the recent past (Dempster 2002). However, the cost of other items, such as oil, has dropped drastically. Such changes adversely affect the purchase of raw materials. The reason is that their predictability is reduced. A rise in prices would lead to an increase in the cost of the project. On its part, a reduction in expenses would have a positive impact on the undertaking.
The global economy
It is another major risk that could cripple the project. It involves the exchange of goods and services at the international market (Dempster 2002). It affects the acquisition of items from anywhere around the world. If an economic recession or sanction was introduced in Dubai by a country that is a main supplier of raw materials or important building commodities, the project may come to a standstill. The sourcing of the materials or labour from other places may be extremely difficult. The reason is that economic sanctions originate from one country and spread to other economies.
Product imitations
It could also affect the project. Considering that it is a luxurious hotel, the client may require the inclusion of unique features. Custom made designs in furniture and architecture are a common occurrence in the construction of luxurious hotels (Eyster 2003). It is mainly because most owners want visitors to have experiences that can only be enjoyed in their facilities. Duplication of the design during the construction phase may lower the value of the project in the market (Marwa & Zairi 2008).
Disruptions in the supply chain
In the construction industry, the supply chain is involved with the production and distribution of products (Eyster 2003). It is a complex process since the demand for materials is always high. A reliable supply chain would increase the efficiency of the project. On the other hand, such unfavourable factors as bad climate and bankruptcy of supply firms may disrupt the flow of products, leading to delays in the project. As a result, the undertaking would be negatively affected. The client should consider sourcing their raw materials from convenient and reliable regions (Jensen 2001).
Recommendations
After evaluating and analysing the internal and external risks facing the client, the consultancy firm concludes that the threats involved can be properly managed. They do not pose a major hazard to the completion of the project. The client should proceed with their investment in the project. However, they should properly screen the potential future partners to attain more information on their financial capabilities and their level of skill and commitment (Woodcock 2003). The personnel should also be properly evaluated and assurance sought from their specific firms for replacements in case of uncertainties (Carmona 2001).
A close monitoring and analysis of global financial situations should also be done. In addition, the companies involved should sign contracts that will ensure that they continue to supply materials even during an economic recession. The firm also recommends that the client should register all their patents and trademarks to avoid brand imitation. Lastly, volatile prices could be hedged out through agreements with the supplier (Rutherford 2005). Such a move would help to introduce a standard price for the product over the agreed period of the contract.
RIBA Plan of Work Stage 5: Risk Control and Construction
During this stage, actual construction of the project will begin on the site in accordance with the program. Risk control will also be carried out during this period. In construction, risk management is designed to plan, monitor, and control those measures needed to prevent exposure to threats (Smith & Jobling 2006). To achieve this objective, it is important to identify the risks, assess their extent, and put in place measures to control and manage them (Smith & Jobling 2006). The project will be a client-led design and build. As such, most of the risks will be addressed by the customer.
A risk register is a management tool commonly used in the control of threats. It is also used for regulatory compliance purposes (Patterson & Neailey 2002). It acts as a central repository for all risks identified by the organisation. For each of the threats identified, the portfolio provides information on its source, nature, and recommended countermeasures. It is also commonly referred to as a risk log in the construction sector. Construction projects use registers that are similar to those in other industries. However, they may assess the impacts of time and cost without controls. In addition, they may include actions to be taken on residual risks (Patterson & Neailey 2002). In this project, the register will look at generic risks that have occurred in previous undertakings. It will also focus on threats that are specific to the project and those that will persist in spite of the controls put in place (refer to appendix 3).
Conclusion
Different factors affect the various phases of a project. As seen in this paper, a RIBA Plan of Work provides a framework for the organisation and management of building projects. By following the guidelines highlighted in the document, the consultancy firm was able to provide a sound design and monetary advice to the client. In addition, the framework provided information regarding the different factors that come into play when designing a building. It is also clear that risk and value management play a critical role in construction investments. Strategic risk management would allow the client to anticipate uncertainties and be ready to deal with them. As a result, the project will be completed successfully.
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Appendices
Appendix 1
Benchmark model: Cost model for one tower of the Grosvenor House, Dubai
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