M.H. Arkesteijn
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28 records found
1
Identifying the Characteristics of Well-Performing Hybrid Work Environments: The Role of Layout, Occupancy, and Employee Perceptions
A Case Study of the Netherlands Police Real Estate Portfolio
This study examines what layout and use characteristics contribute to the effective use of hybrid work environments in the Netherlands Police real estate portfolio. It integrates three data sources: building-level occupancy measurements from Measuremen across twelve office buildings; floor-plan analysis using the framework of Ruiz de Castañeda Altuna (2025); and employee perception data from the Werk in Transitie (WiT) Monitor survey, available for three buildings (n = 376 respondents). Seven hypotheses were tested through descriptive statistics, Pearson and Spearman correlations, one-way ANOVA, and hierarchical regression analysis.
The findings demonstrate that well-performing hybrid work environments are not distinguished by a particular layout typology but by the degree to which they provide adequate privacy, acoustic comfort, physical comfort, and collaborative infrastructure. Office layout typology and workspace ratio did not predict occupancy or perceived effectiveness. Privacy satisfaction, workplace comfort, and meeting space availability were the strongest predictors of perceived effectiveness, explaining 68.7% of the variance in the regression model. Targeted spatial quality improvements within existing layouts are likely to yield greater gains than typological redesign. The study contributes an empirically grounded analytical framework that integrates occupancy, floor-plan, and survey data and is applicable to other Police buildings as WiT coverage expands. ...
This study examines what layout and use characteristics contribute to the effective use of hybrid work environments in the Netherlands Police real estate portfolio. It integrates three data sources: building-level occupancy measurements from Measuremen across twelve office buildings; floor-plan analysis using the framework of Ruiz de Castañeda Altuna (2025); and employee perception data from the Werk in Transitie (WiT) Monitor survey, available for three buildings (n = 376 respondents). Seven hypotheses were tested through descriptive statistics, Pearson and Spearman correlations, one-way ANOVA, and hierarchical regression analysis.
The findings demonstrate that well-performing hybrid work environments are not distinguished by a particular layout typology but by the degree to which they provide adequate privacy, acoustic comfort, physical comfort, and collaborative infrastructure. Office layout typology and workspace ratio did not predict occupancy or perceived effectiveness. Privacy satisfaction, workplace comfort, and meeting space availability were the strongest predictors of perceived effectiveness, explaining 68.7% of the variance in the regression model. Targeted spatial quality improvements within existing layouts are likely to yield greater gains than typological redesign. The study contributes an empirically grounded analytical framework that integrates occupancy, floor-plan, and survey data and is applicable to other Police buildings as WiT coverage expands.
The Potential for Circular Building Reuse
How a Circular Building Reuse Framework Can Be Used to Implement Circular Ambitions in the Portfolio of the Netherlands Police
Enhancing decision support in real estate portfolio management
A dashboard redesign for the Preference-Based Accommodation Strategy based on principles of effective dashboard design
Decision Support Systems (DSS) such as the Preference-Based Accommodation Strategy (PAS) have been developed to support this alignment process by translating stakeholder preferences into measurable and comparable performance indicators. Although PAS provides a structured and preference-based approach to strategic decision-making, earlier pilot studies have indicated that stakeholders experience difficulties in using the accompanying PAS dashboard. These stakeholders mentioned that they struggled to understand the dashboard back and calculations. This resulted in reduced trust in dashboard outcomes and decreased decision-making support. While extensive literature exists on dashboard design principles and effectiveness criteria, no prior research has applied these principles specifically to a DSS context in CREM, nor to the PAS dashboard.
This thesis aims to develop and evaluate a redesigned PAS dashboard based on established dashboard design principles. The central research question is: How can a PAS dashboard be redesigned based on identified design principles, and what lessons can be drawn for dashboard design in general?
A Research Through Design methodology was adopted. First, a structured literature study identified dashboard design principles and criteria for effectiveness. These principles were translated into a design framework and used to analyse the existing PAS dashboard. Subsequently, a redesigned dashboard was developed iteratively. The redesign was verified and evaluated in workshops with participants. User feedback was analysed in relation to the identified effectiveness criteria.
The results indicate that applying design principles, single screen view, simplicity, layering of information, visual clarity, cognitive fit, and tailoring capabilities, contributes to improved stakeholder understanding and perceived usability of the PAS dashboard. The redesigned dashboard better supports the interpretation of preference scores, comparison of alternatives, and identification of interventions. Participants indicated improved transparency of the model backend and a clearer connection between input (preferences) and output (overall performance).
This research contributes to both theory and practice. It provides a structured framework that connects dashboard design principles, effectiveness criteria, and concrete design features for DSS in CREM. Furthermore, it demonstrates how dashboard design can enhance stakeholder engagement and informed decision-making within PAS. The findings offer practical lessons for the further implementation of PAS and for the design of dashboards in comparable decision-support contexts.
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Decision Support Systems (DSS) such as the Preference-Based Accommodation Strategy (PAS) have been developed to support this alignment process by translating stakeholder preferences into measurable and comparable performance indicators. Although PAS provides a structured and preference-based approach to strategic decision-making, earlier pilot studies have indicated that stakeholders experience difficulties in using the accompanying PAS dashboard. These stakeholders mentioned that they struggled to understand the dashboard back and calculations. This resulted in reduced trust in dashboard outcomes and decreased decision-making support. While extensive literature exists on dashboard design principles and effectiveness criteria, no prior research has applied these principles specifically to a DSS context in CREM, nor to the PAS dashboard.
This thesis aims to develop and evaluate a redesigned PAS dashboard based on established dashboard design principles. The central research question is: How can a PAS dashboard be redesigned based on identified design principles, and what lessons can be drawn for dashboard design in general?
A Research Through Design methodology was adopted. First, a structured literature study identified dashboard design principles and criteria for effectiveness. These principles were translated into a design framework and used to analyse the existing PAS dashboard. Subsequently, a redesigned dashboard was developed iteratively. The redesign was verified and evaluated in workshops with participants. User feedback was analysed in relation to the identified effectiveness criteria.
The results indicate that applying design principles, single screen view, simplicity, layering of information, visual clarity, cognitive fit, and tailoring capabilities, contributes to improved stakeholder understanding and perceived usability of the PAS dashboard. The redesigned dashboard better supports the interpretation of preference scores, comparison of alternatives, and identification of interventions. Participants indicated improved transparency of the model backend and a clearer connection between input (preferences) and output (overall performance).
This research contributes to both theory and practice. It provides a structured framework that connects dashboard design principles, effectiveness criteria, and concrete design features for DSS in CREM. Furthermore, it demonstrates how dashboard design can enhance stakeholder engagement and informed decision-making within PAS. The findings offer practical lessons for the further implementation of PAS and for the design of dashboards in comparable decision-support contexts.
Creating Effective Learning Environments: The Power of Stakeholder Involvement
Exploring how Stakeholder Involvement can be optimised in University Learning Environments
To answer this question, a mixed-methods study will be conducted, consisting of three components. First, a literature review will provide a theoretical foundation on stakeholder involvement and the effectiveness of learning environments. Following this, a case study will be conducted on selected cases of newly implemented learning environments developed with stakeholder involvement. The case studies will map out the stakeholder involvement process in the creation of these environments. Next, interviews will be held with the stakeholders involved in the process, assessing their perspectives on the process and their views on the effectiveness of the resulting learning environments. Lastly, surveys will be conducted with end-users of the learning environments to evaluate their perceptions of the environment's effectiveness. The goal of this research is to assess whether there is alignment between stakeholder expectations and end-user experiences, and to explore how the effectiveness of the learning environments can be traced back to the stakeholder involvement process. This will ultimately help identify areas for optimization in stakeholder involvement.
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To answer this question, a mixed-methods study will be conducted, consisting of three components. First, a literature review will provide a theoretical foundation on stakeholder involvement and the effectiveness of learning environments. Following this, a case study will be conducted on selected cases of newly implemented learning environments developed with stakeholder involvement. The case studies will map out the stakeholder involvement process in the creation of these environments. Next, interviews will be held with the stakeholders involved in the process, assessing their perspectives on the process and their views on the effectiveness of the resulting learning environments. Lastly, surveys will be conducted with end-users of the learning environments to evaluate their perceptions of the environment's effectiveness. The goal of this research is to assess whether there is alignment between stakeholder expectations and end-user experiences, and to explore how the effectiveness of the learning environments can be traced back to the stakeholder involvement process. This will ultimately help identify areas for optimization in stakeholder involvement.
As a result, most listed buildings currently lack an energy label, and among those that do, only 17% has achieved a label C or higher. However, research suggests that this can be improved to up to 90% while preserving their cultural-historical value. This highlights both the challenge and potential of improving their energy performance, emphasising the need for a more tailored approach.
This study therefore aims to tailor the energy label to listed buildings, facilitating their participation in the energy transition. Through interviews with relevant stakeholders, case studies of successful renovations of listed buildings and the analysis of existing green certification systems, including the current energy label of the Netherlands, the research intends to shape and structure a way for these buildings to no longer be an exemption. Ultimately, this initiative strives to balance sustainability and conservation of cultural heritage, contributing to the reduction of CO2 emissions and the bigger picture of a green built environment. ...
As a result, most listed buildings currently lack an energy label, and among those that do, only 17% has achieved a label C or higher. However, research suggests that this can be improved to up to 90% while preserving their cultural-historical value. This highlights both the challenge and potential of improving their energy performance, emphasising the need for a more tailored approach.
This study therefore aims to tailor the energy label to listed buildings, facilitating their participation in the energy transition. Through interviews with relevant stakeholders, case studies of successful renovations of listed buildings and the analysis of existing green certification systems, including the current energy label of the Netherlands, the research intends to shape and structure a way for these buildings to no longer be an exemption. Ultimately, this initiative strives to balance sustainability and conservation of cultural heritage, contributing to the reduction of CO2 emissions and the bigger picture of a green built environment.
AI enhancing knowledge exchange about university buildings
Exploratory research on how Artificial Intelligence (AI) can be utilized to enhance knowledge exchange about university real estate buildings
This research aims to address this gap by exploring the effectiveness of AI enhancing knowledge exchange about university buildings. Drawing on theoretical frameworks and empirical evidence, the research seeks to investigate how a knowledge database can be created for university real estate with the help of AI. Therefore, the goal of this research is how the exchange of knowledge between Dutch universities can be enhanced by the quick and effortless creation of a centralized AI-driven knowledge database for university real estate projects. The research uses a mixed-method approach, combining qualitative and quantitative analyses. The quantitative method involves the theoretical background and creation of the knowledge database using four steps: finding, collecting, creating an overview, and analyzing and identifying. The qualitative method involves interviews with campus managers, in which the created knowledge database will be explained and in which the campus managers can give their feedback. In the synthesis, the results from the theoretical and empirical research will be demonstrated in an expert panel. In the expert panel the project database is evaluated and the Tailored GPT is tested by people working in campus management to get a final understanding on how the database and GPT can be further improved. Resulting in a database and GPT model that can be used by people working in campus management as a stepping stool for the enhancement of the exchange of knowledge. ...
This research aims to address this gap by exploring the effectiveness of AI enhancing knowledge exchange about university buildings. Drawing on theoretical frameworks and empirical evidence, the research seeks to investigate how a knowledge database can be created for university real estate with the help of AI. Therefore, the goal of this research is how the exchange of knowledge between Dutch universities can be enhanced by the quick and effortless creation of a centralized AI-driven knowledge database for university real estate projects. The research uses a mixed-method approach, combining qualitative and quantitative analyses. The quantitative method involves the theoretical background and creation of the knowledge database using four steps: finding, collecting, creating an overview, and analyzing and identifying. The qualitative method involves interviews with campus managers, in which the created knowledge database will be explained and in which the campus managers can give their feedback. In the synthesis, the results from the theoretical and empirical research will be demonstrated in an expert panel. In the expert panel the project database is evaluated and the Tailored GPT is tested by people working in campus management to get a final understanding on how the database and GPT can be further improved. Resulting in a database and GPT model that can be used by people working in campus management as a stepping stool for the enhancement of the exchange of knowledge.
While Decision Support System literature acknowledges the risks of strategic behavior, a lack of behavioral insight has been identified as a limitation. Understanding how decision support systems influence behaviors is crucial for improving their effectiveness. Emphasizing the importance of learning from real-life manifestations of decision-makers' behavior. It is assumed that the limited understanding how strategic behavior unfolds in practice within decision support system (DSS) supported decision-making environments, supports the understanding how these environments influence such behavior. This limited understanding hinders the development of effective decision support systems as well as current decision making practices. This research addressed this gap by employed a behavioral informed approach, used qualitative research methods such as interviewing and directly observing participants behavior with the use of a Decision Support Systems (DSS). Providing an understanding of how decision environments, shape strategic behaviors.
Through a qualitative analysis using the Preference-Based Accommodation Strategy (PAS) approach as a research instrument, this study explored how this design and decision support system facilitates a decision-making environment and influences the use of strategic behavior. Through analyzing the occurrence of these different approaches, collaborative or competitive, within specific decision environments, patterns were identified. These patterns revealed which environmental factors encourage or diminish certain strategies employed. For instance, collaborative patterns increase under conditions of transparency and inclusivity, while competitive patterns decrease as these address the underlying causes that facilitate such behaviors. These were found consistent in both literature, current decision making and the design and decision making process supported and facilitated by the PAS approach. This research provided insight into how the structure of a decision environment, such as the one created by the PAS approach, influences the nature and prevalence of strategic behaviors.
The PAS approach integrates features such as transparent information, transparent modeling and analysis, interdependency of goals, the overall preference score, and open dialogue. These elements create a transparent and inclusive environment where collaborative strategic behavior is naturally incentivized and is both effective and rewarding, reducing the reliance and effectiveness of competitive strategies. The research shows that PAS addresses limitations in current decision-making environments by fostering a transition from competitive to collaborative strategic behavior, through a transparent and inclusive environment.
By moving beyond assumptions, this research provides a clear understanding of how the PAS approach shapes and influences strategic behavior, offering insights into the design of decision support systems and current decision making practices that promote collaborative strategic behaviors over competitive strategic behavior, enhancing the potential to mitigate the risks mentioned earlier.
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While Decision Support System literature acknowledges the risks of strategic behavior, a lack of behavioral insight has been identified as a limitation. Understanding how decision support systems influence behaviors is crucial for improving their effectiveness. Emphasizing the importance of learning from real-life manifestations of decision-makers' behavior. It is assumed that the limited understanding how strategic behavior unfolds in practice within decision support system (DSS) supported decision-making environments, supports the understanding how these environments influence such behavior. This limited understanding hinders the development of effective decision support systems as well as current decision making practices. This research addressed this gap by employed a behavioral informed approach, used qualitative research methods such as interviewing and directly observing participants behavior with the use of a Decision Support Systems (DSS). Providing an understanding of how decision environments, shape strategic behaviors.
Through a qualitative analysis using the Preference-Based Accommodation Strategy (PAS) approach as a research instrument, this study explored how this design and decision support system facilitates a decision-making environment and influences the use of strategic behavior. Through analyzing the occurrence of these different approaches, collaborative or competitive, within specific decision environments, patterns were identified. These patterns revealed which environmental factors encourage or diminish certain strategies employed. For instance, collaborative patterns increase under conditions of transparency and inclusivity, while competitive patterns decrease as these address the underlying causes that facilitate such behaviors. These were found consistent in both literature, current decision making and the design and decision making process supported and facilitated by the PAS approach. This research provided insight into how the structure of a decision environment, such as the one created by the PAS approach, influences the nature and prevalence of strategic behaviors.
The PAS approach integrates features such as transparent information, transparent modeling and analysis, interdependency of goals, the overall preference score, and open dialogue. These elements create a transparent and inclusive environment where collaborative strategic behavior is naturally incentivized and is both effective and rewarding, reducing the reliance and effectiveness of competitive strategies. The research shows that PAS addresses limitations in current decision-making environments by fostering a transition from competitive to collaborative strategic behavior, through a transparent and inclusive environment.
By moving beyond assumptions, this research provides a clear understanding of how the PAS approach shapes and influences strategic behavior, offering insights into the design of decision support systems and current decision making practices that promote collaborative strategic behaviors over competitive strategic behavior, enhancing the potential to mitigate the risks mentioned earlier.
Hybrid Office Portfolio Optimisation – PAS Method
A Study on Integrating Hybrid Working Demands into the PAS Design and Decision-making Method: Testing Its Fit-for-Purpose in Optimising the Netherlands Police Office Portfolio
This research addresses this gap by adapting the Preference-based Accommodation Strategy (PAS) method to test the fit-for-purpose design and decision-making of the integrated research instrument. The research instruments are referred to as the Hybrid Office Portfolio Optimisation (HOPO) model, which aims to identify preferences for implementing goals and criteria, and to stimulate portfolio optimisation through the demand model. The research follows the ten design steps that allow for an iterative, prescriptive approach that combines literature review, model development, and the application of the PAS with interviews and workshops.
Three reference models (Hybrid Working Trends based on literature, Knowledge Workers based on survey data, and Policy Accommodation based on policy documents) were developed to capture general, user and organisational preferences, complemented by a development portfolio demand model. These instruments were integrated into the PAS method and empirically tested through a pilot study with the Netherlands Police, one of the largest public real estate owners in the Netherlands. The pilot included three stakeholder perspectives: user, organisational, and real estate. The reference models are tested in the interviews, and the demand model in the workshops.
The findings show that the reference models added limited value due to the expertise of stakeholders, timing of communication and the quality and completeness. The policy accommodation had the most potential, as it directly linked organisational strategy to decision variables. The demand model successfully quantified the hybrid working preferences of demand, but was constrained by the scenario thinking in the outcome.
The research concludes that although the integration of hybrid working demands into the PAS method was not so successful, however, it cannot be concluded that it will never work. Future research should focus on making the reference models more comprehensive and improving the way of communication to present earlier. The HOPO-PAS model thus provides a foundation for further development in enhancing the PAS design and decision-making method with the integration of research instruments. ...
This research addresses this gap by adapting the Preference-based Accommodation Strategy (PAS) method to test the fit-for-purpose design and decision-making of the integrated research instrument. The research instruments are referred to as the Hybrid Office Portfolio Optimisation (HOPO) model, which aims to identify preferences for implementing goals and criteria, and to stimulate portfolio optimisation through the demand model. The research follows the ten design steps that allow for an iterative, prescriptive approach that combines literature review, model development, and the application of the PAS with interviews and workshops.
Three reference models (Hybrid Working Trends based on literature, Knowledge Workers based on survey data, and Policy Accommodation based on policy documents) were developed to capture general, user and organisational preferences, complemented by a development portfolio demand model. These instruments were integrated into the PAS method and empirically tested through a pilot study with the Netherlands Police, one of the largest public real estate owners in the Netherlands. The pilot included three stakeholder perspectives: user, organisational, and real estate. The reference models are tested in the interviews, and the demand model in the workshops.
The findings show that the reference models added limited value due to the expertise of stakeholders, timing of communication and the quality and completeness. The policy accommodation had the most potential, as it directly linked organisational strategy to decision variables. The demand model successfully quantified the hybrid working preferences of demand, but was constrained by the scenario thinking in the outcome.
The research concludes that although the integration of hybrid working demands into the PAS method was not so successful, however, it cannot be concluded that it will never work. Future research should focus on making the reference models more comprehensive and improving the way of communication to present earlier. The HOPO-PAS model thus provides a foundation for further development in enhancing the PAS design and decision-making method with the integration of research instruments.
The impact of the classroom environment
Exploring how the classroom environment in secondary schools can enhance the student’s learning experience
Using a mixed-methods approach, two contrasting case studies were analysed through five classroom observations, student surveys (n = 173) and reflective teacher interviews. Results revealed significant correlations between design elements and student experience, with spatial clarity, visual appearance, and emotional support emerging as particularly influential. Conversely, poor environmental quality and limited flexibility and comfort consistently undermined outcomes.
The findings highlight a clear hierarchy: securing baseline essentials of comfort and flexibility is indispensable, while aesthetic and supportive features enrich learning only when these foundations are in place. Classrooms thus act as active determinants—functioning as a “third teacher” that shapes student performance and wellbeing. ...
Using a mixed-methods approach, two contrasting case studies were analysed through five classroom observations, student surveys (n = 173) and reflective teacher interviews. Results revealed significant correlations between design elements and student experience, with spatial clarity, visual appearance, and emotional support emerging as particularly influential. Conversely, poor environmental quality and limited flexibility and comfort consistently undermined outcomes.
The findings highlight a clear hierarchy: securing baseline essentials of comfort and flexibility is indispensable, while aesthetic and supportive features enrich learning only when these foundations are in place. Classrooms thus act as active determinants—functioning as a “third teacher” that shapes student performance and wellbeing.
Social Sustainability in Corporate Real Estate
The implementation of social sustainability goals in corporate real estate
Alignment in Public Real Estate
A study on implementing a(n) (improved) case specific PAS design and decision-making method to enhance the real estate management of the office portfolio of the Netherlands Police
Towards digital twins for space use in hospital real estate
The Erasmus Medical Center as a case study for the identification of the specifications of a digital twin for space use, aiming to support decision makers and users of hospital real estate
The research approach is conducted by deploying a design science research framework. In this framework, a literature review is carried out first by analyzing academic publications in the topics of hospital real estate management, space use in hospital real estate, digital twins for space use and digital twins for hospital real estate. Then a case study is conducted in a healthcare organization, by analyzing the organizational characteristics, the real estate portfolio, the deployed information systems for space use and the building documentation databases. This is being done through a set of interviews with employees of the organization, together with a documentation analysis. Two lists of design and utilization principles are then extracted from the literature review and the case study analysis.
The two sets of principles are utilized for the development of a conceptual design of a display of a digital twin for space use in hospitals. This display is based on a time frame window, a building orientation window, a user profile window, a building visualization window and a performance palettes window. The display is then assessed through evaluation interviews and the comprehensiveness of its design is validated. The interviewees further suggest utilization scenarios that they can perform with a similar tool.
It is eventually concluded that a digital twin can be used by different stakeholder perspectives, by providing historical, real time or simulation information at a room, floor, building or campus scale resolution to support operational, tactical and strategic utilization processes. The outcomes of this research can eventually be used by healthcare decision makers in order to develop similar tools. ...
The research approach is conducted by deploying a design science research framework. In this framework, a literature review is carried out first by analyzing academic publications in the topics of hospital real estate management, space use in hospital real estate, digital twins for space use and digital twins for hospital real estate. Then a case study is conducted in a healthcare organization, by analyzing the organizational characteristics, the real estate portfolio, the deployed information systems for space use and the building documentation databases. This is being done through a set of interviews with employees of the organization, together with a documentation analysis. Two lists of design and utilization principles are then extracted from the literature review and the case study analysis.
The two sets of principles are utilized for the development of a conceptual design of a display of a digital twin for space use in hospitals. This display is based on a time frame window, a building orientation window, a user profile window, a building visualization window and a performance palettes window. The display is then assessed through evaluation interviews and the comprehensiveness of its design is validated. The interviewees further suggest utilization scenarios that they can perform with a similar tool.
It is eventually concluded that a digital twin can be used by different stakeholder perspectives, by providing historical, real time or simulation information at a room, floor, building or campus scale resolution to support operational, tactical and strategic utilization processes. The outcomes of this research can eventually be used by healthcare decision makers in order to develop similar tools.
A campus as a solution for the main location of the Landelijke Eenheid in Driebergen
Towards a campus assessment framework that will support the organization
Stimulating Sustainable Corporate Real Estate
Developing a Sustainability Reference Model for the Preference-based Accommodation Strategy
Post-pandemic office real estate
A pilot study of using scenario planning to develop scenarios with quantitative office space demand for corporate real estate
Scenario planning can act as a valuable tool to help decision-makers evaluate strategies, and office space demand forecast is one of the important indexes that CRE takes into account. Forecasting office space demand by using scenario planning techniques is recommended when the predictability of the external strategic environment is low and the reliability of the organisation’s internal data required for forecasting is high as is the case in this post-pandemic era. This research aims to propose a scenario planning methodology that can be applied to develop scenarios with quantitative office space demands at a corporate level. Such methodology and detailed scenarios are valuable for CRE decision-makers to evaluate their strategy regarding post-pandemic office real estate.
This study is developed by operations research. A proper methodology is proposed through the literature study. A pilot study is then taken to apply this methodology to a real-world example. The chosen pilot is the global headquarter of Philips: Philips Center in Amsterdam. In the pilot study, semi-structured interviews and data analytics of an existing survey are conducted, scenarios are developed by following the steps of the proposed methodology. An expert panel was held to help evaluate the replicability and validities of the findings.
Embedded mixed methods research is used for this thesis. Qualitative and quantitative data are both analysed through literature study, semi-structured interviews, and an expert panel. A large chunk of quantitative data analysis including using the programming language approach is conducted during survey data analysis.
The findings of this research provide CRE with a methodology to develop scenarios with quantitative office space demand. By applying this methodology, the output of post-pandemic office real estate scenarios with corresponding quantitative office space demand can be used by CRE decision-makers to evaluate their business strategies.
...
Scenario planning can act as a valuable tool to help decision-makers evaluate strategies, and office space demand forecast is one of the important indexes that CRE takes into account. Forecasting office space demand by using scenario planning techniques is recommended when the predictability of the external strategic environment is low and the reliability of the organisation’s internal data required for forecasting is high as is the case in this post-pandemic era. This research aims to propose a scenario planning methodology that can be applied to develop scenarios with quantitative office space demands at a corporate level. Such methodology and detailed scenarios are valuable for CRE decision-makers to evaluate their strategy regarding post-pandemic office real estate.
This study is developed by operations research. A proper methodology is proposed through the literature study. A pilot study is then taken to apply this methodology to a real-world example. The chosen pilot is the global headquarter of Philips: Philips Center in Amsterdam. In the pilot study, semi-structured interviews and data analytics of an existing survey are conducted, scenarios are developed by following the steps of the proposed methodology. An expert panel was held to help evaluate the replicability and validities of the findings.
Embedded mixed methods research is used for this thesis. Qualitative and quantitative data are both analysed through literature study, semi-structured interviews, and an expert panel. A large chunk of quantitative data analysis including using the programming language approach is conducted during survey data analysis.
The findings of this research provide CRE with a methodology to develop scenarios with quantitative office space demand. By applying this methodology, the output of post-pandemic office real estate scenarios with corresponding quantitative office space demand can be used by CRE decision-makers to evaluate their business strategies.
This study specifically focuses on the relation between the arrangement of spaces within the office building and employees’ incidental physical activity, since there is limited existing knowledge on this relation. In addition, this study focuses on other spatial, social and personal factors that may influence incidental physical activity within offices where spaces are arranged differently and in the home work environment. Therefore, the main research question is as follows: “How can the arrangement of spaces within the office building and the home work environment stimulate office employees’ incidental physical activity in terms of walking and stair climbing?”
The study resulted in an enhanced method to answer this research question. In this study, this method is tested, refined and retested to advise for further use of the method. Next to that, some results about the relation between the work environment and office employees’ incidental physical activity are discussed. ...
This study specifically focuses on the relation between the arrangement of spaces within the office building and employees’ incidental physical activity, since there is limited existing knowledge on this relation. In addition, this study focuses on other spatial, social and personal factors that may influence incidental physical activity within offices where spaces are arranged differently and in the home work environment. Therefore, the main research question is as follows: “How can the arrangement of spaces within the office building and the home work environment stimulate office employees’ incidental physical activity in terms of walking and stair climbing?”
The study resulted in an enhanced method to answer this research question. In this study, this method is tested, refined and retested to advise for further use of the method. Next to that, some results about the relation between the work environment and office employees’ incidental physical activity are discussed.
An office that feels like home
The influence of the home work environment on perceived productivity
For this study quantitative data of the research project, ‘We Werken Thuis’ (We Work at Home; WWH) are used. First, a literature review is conducted to have a clear overview of what already has been researched on the topic of homeworking and the work environment related to productivity. From the literature study, a theoretical model is developed. This theoretical model includes the home work environment, divided into the physical home work environment and the social environment, the satisfaction with the home work environment, and individual control variables being of influence on the perceived productivity. It was predicted that all these elements affect productivity, both directly and indirectly.
The findings from the literature review are tested by statistical analyses (N = 36,102). Bivariate and regression analyses were performed, followed by integral path analysis. These analyses showed that the physical home work environment, satisfaction with the home work environment, and individual control variables directly affect productivity. Also, the physical home work environment indirectly affects productivity via satisfaction with the home work environment. The same was found for the individual control variables. Furthermore, the individual control variables influence the physical home work environment itself as well, which indirectly affects the perceived productivity via the satisfaction with the home work environment.
The outcomes of this research can be used by practitioners to revise their current corporate real estate strategy or by real estate consultants to advise companies about their office use in the future. It fills the gap in research on the influence specific aspects of the home work environment have on productivity during homeworking. ...
For this study quantitative data of the research project, ‘We Werken Thuis’ (We Work at Home; WWH) are used. First, a literature review is conducted to have a clear overview of what already has been researched on the topic of homeworking and the work environment related to productivity. From the literature study, a theoretical model is developed. This theoretical model includes the home work environment, divided into the physical home work environment and the social environment, the satisfaction with the home work environment, and individual control variables being of influence on the perceived productivity. It was predicted that all these elements affect productivity, both directly and indirectly.
The findings from the literature review are tested by statistical analyses (N = 36,102). Bivariate and regression analyses were performed, followed by integral path analysis. These analyses showed that the physical home work environment, satisfaction with the home work environment, and individual control variables directly affect productivity. Also, the physical home work environment indirectly affects productivity via satisfaction with the home work environment. The same was found for the individual control variables. Furthermore, the individual control variables influence the physical home work environment itself as well, which indirectly affects the perceived productivity via the satisfaction with the home work environment.
The outcomes of this research can be used by practitioners to revise their current corporate real estate strategy or by real estate consultants to advise companies about their office use in the future. It fills the gap in research on the influence specific aspects of the home work environment have on productivity during homeworking.
Co-location within the Ministry of Foreign Affairs
Co-location as a tool within the CRE strategy and as part of the CRE portfolio that adds more value to the organization