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The purpose of this paper is to develop a model to harness occupancy sensing in a commercial hot-desking environment. Hot-desking is a method of office resource management designed to reduce the real estate costs of professional practices. However, the shortcoming is often in the suitability and appropriateness of allocated work environments. The Internet of Things could produce new data sets in the office at a resolution, speed and validity of which that they could be factored into desk-allocation, distributing seats based on appropriate noise levels, stay length, equipment requirements, previous presence and proximity to others working on the same project, among many others.

The study utilises primary data from a commercial office environment in Central London (numerical building system data and semi-structured interviews) to feed a discrete events simulator. To test the hypothesis, the authors look at the potential for intelligent hot-desking to use “work type” data to improve the distribution of individuals in the office, increasing productivity through the creation of positive “work type environments” – where those working on specific tasks perform better when grouped with others doing the same task. The simulation runs for a typical work day, and the authors compare the intelligent hot-desking arrangement to a base case.

The study shows that sensor data can be used for desk allocation in a hot-desking environment utilising activity-based working, with results that outweigh the costs of occupancy detection. The authors are not only able to optimise desk utilisation based on quality occupancy data but also demonstrate how overall productivity increases as individuals are allocated desks of their preference as much as possible among other enabling optimisations that can be applied. Moreover, the authors explore how an increase in occupancy data collection in the private sector could have key advantages for the business as an organization and the city as a whole.

The research explores only one possible incarnation of intelligent hot-desking, and the authors presume that all data have already been collected, and while not insurmountable, they do not discuss the technical or cultural difficulties to this end. Furthermore, final examination of the productivity benefit – because of the difficulty in defining and measuring the concept – is exploratory rather than definitive. This research suggests that not only human-centric smart building research should be prioritised over energy or space-based themes but also large-scale private sector collection of occupancy data may be imminent, and its potential should be examined.

Findings strongly suggest that the hot-desking may cost more in lost productivity than it gains in reduced rental costs and as such many commercial offices should revaluate the transition, particularly with a view to facilitate intelligent hot-desking. Companies should begin to think strategically about the wider benefits of collecting occupancy data across their real estate portfolio, rather than reviewing use cases in silos. Finally, cities should consider scenarios of widespread collection of occupancy data in the private sector, examining the value these data have to city systems such as transport, and how the city might procure it for these ends.

This paper raises positive and negative social concerns. The value in occupancy data suggested herein, bringing with it the implication it should be collected en mass, has a noted concern that this brings privacy concerns. As such, policy and regulation should heed that current standards should be reviewed to ensure they are sufficient to protect those in offices from being unfairly discriminated, spied or exploited through occupancy data. However, the improved use of occupancy data improving workplaces could indeed make them more enjoyable places to work, and have the potential to become a staple in company’s corporate social responsibility policies.

This paper fulfils an identified need for better understanding the specific uses of occupancy data in the smart building mantra. Several sources suggest the current research focus on energy and rental costs is misguided when the holistic cost of an office is considered, and concepts related to staff – although less understood – may have an order of magnitude bigger impact. This research supports this hypothesis through the example of intelligent hot-desking. The value of this paper lies in redirecting industry and research towards the considering occupancy data in smart building uses cases including – but not limited to– intelligent hot-desking.

The Android pattern lock screen (or graphical password) is a popular user authentication method that relies on the advantages provided by the visual representation of a password, which enhance its memorability. Graphical passwords are vulnerable to attacks (e.g. shoulder surfing); thus, the need for more complex passwords becomes apparent. This paper aims to focus on the features that constitute a usable and secure pattern and investigate the existence of heuristic and physical rules that possibly dictate the formation of a pattern.

The authors conducted a survey to study the users’ understanding of the security and usability of the pattern lock screen. The authors developed an Android application that collects graphical passwords, by simulating user authentication in a mobile device. This avoids any potential bias that is introduced when the survey participants are not interacting with a mobile device while forming graphical passwords (e.g. in Web or hard-copy surveys).

The findings verify and enrich previous knowledge for graphical passwords, namely, that users mostly prefer usability than security. Using the survey results, the authors demonstrate how biased input impairs security by shrinking the available password space.

The sample’s demographics may affect our findings. Therefore, future work can focus on the replication of our work in a sample with different demographics.

The authors define metrics that measure the usability of a pattern (handedness, directionality and symmetry) and investigate their impact to its formation. The authors propose a security assessment scheme using features in a pattern (e.g. the existence of knight moves or overlapping nodes) to evaluate its security strengths.

Evaluation of energy and climate policy interactions is a complex issue, whereas stakeholders' preferences incorporation has not been addressed systematically. The purpose of this paper is to present an integrated weighting methodology that has been developed in order to incorporate weighting preferences into an ex ante evaluation of climate and energy policy interactions.

A multi‐criteria analysis (MCA) weighting methodology which combines pair‐wise comparisons and ratio importance weighting methods has been elaborated. It initially introduces the users to the evaluation process through a warming up holistic approach for an initial rank of the criteria and then facilitates them to express their ratio relative importance in pair‐wise comparisons of criteria by providing them an interactive mean with verbal, numerical and visual representation of their preferences. Moreover, it provides a ranking consistency test where users can see the degree of (in)consistency of their preferences.

Stakeholders and experts in the energy policy field who tested the methodology stated their approval and satisfaction for the combination of both ranking and pair‐wise comparison techniques, since it allows the gradual approach to the evaluation problem. In addition, main difficulties in MCA weights elicitation processes were overcome.

The methodology is tested by a small sample of stakeholders, whereas a larger sample, a broader range of stakeholders and applications on different climate policy evaluation cases merit further research.

The novel aspect of the developed methodology consists of the combination of ranking and pair‐wise comparison techniques for the elicitation of stakeholders' preferences.

In contrast to the reflective approach of service quality measurement, this paper aims to propose and validate a parsimonious multidimensional second-order formatively measured model of service quality for primary health-care services provided by hospital outpatient departments. The index’s empirical validity is examined by investigating the strength of its relationship with certain behavioral responses such as patient satisfaction and behavioral intentions.

Data were collected through a stratified random sampling from eight hospital outpatient departments in Greece. Covariance-based structural equation modeling techniques were used to validate the proposed service quality index and further investigate its effect on patient satisfaction and behavioral intention.

The data analysis indicated that the proposed formative index is fully functional with medical care being the factor and mostly contributes to service quality perception, followed by administrative service and staff performance, and facilities condition and nursing care. It, further, confirmed the partial mediating role of satisfaction, as it enhances the high impact of service quality on behavioral intentions.

The relationships among hospital outpatient departments service quality, patient satisfaction and behavioral intentions were validated with data from one country and a health-care system which is state driven and funded.

An understanding of hospital primary health-care service quality formation is important to health-care decision makers because it offers them the opportunity to consider patients’ needs and wants, and takes the appropriate actions for improving the relevant underling procedures in a more efficient manner to achieve favorable behavioral responses.

The paper manages to propose and empirically evaluate a formatively measured approach of service quality and investigate the effects of the proposed index on patient satisfaction and behavioral intention, especially in the hospital outpatient services context in Greece.

Purpose: This study focuses on the business case of Environmental, Social and Governance (ESG), namely its economic benefits and long-term value creation by attracting environmental-friendly and socially responsible investors.

Methodology: The central result of the von Neumann–Morgenstern (VNM) expected utility theory is that the optimal strategy under uncertainty is given by maximising the expected utility. The study introduces a second utility function to represent externalities. Total utility can be derived by a sum of the two functions where h is a scalar value which indicates to what degree the actor is interested in maximising the utility of externalities. The payouts could be set by ESG scores for the given companies, then the whole equation can be solved for simple cases such as the normal case.

Findings: By extending the traditional risk/return MPT framework to account for the additional utility of contributing towards externalities (in this case specifically ESG goals) the utility maximisation algorithm can be applied to the ESG dimension in a holistic manner and not as a separate filter on the investment universe nor a synthetic boost to expected returns.

Implications: Portfolio and asset managers can more efficiently optimise for consumer risk, return and sustainability preferences, allowing access to the widest possible investment universe while at the same time delivering an optimal bespoke solution for the specific sustainability preferences of the investors.

Future research: How to measure investment’s sustainability impact and what is the best way to estimate that. How to determine monetary impact of damages and externalities. Estimation of Hamilton’s coefficient.

This chapter covers a full picture of the remaining chapters. The first part discusses the gap in the literature and the main objectives of this book. The next section overviews the book's design and methodology which includes the conceptual model, the research design and the research methodology. The final section in this chapter is the book's theoretical and practical contributions.

With the increasing understanding of stakeholders on sustainability aspects for the business, companies are nowadays paying more attention to environmental and social issues. This study aims to examine the relationship between Environmental, Social, Governance (ESG) Index and firms’ value. Moreover, this study also examines how the controversy score influences the company’s value. The authors employ a dataset of 1.356 companies from 22 countries in Asia which representing the Asian market from 2014 to 2018. This study shows that ESG index score and controversy score are statistically significant, affecting the firms’ value, measured by Tobin’s Q. From the individual tests, the findings of this study indicate that ESG-environmental, ESG-social, and ESG-governance, individually affect the firms’ value. This study suggests that providing disclosure on ESG aspects is essential, not only to increase company value but also to show the company resilience and sustainability. On the other hand, ESG controversy score surprisingly indicates a positive relationship with the company value. The result implies that controversies provide a positive signal to the investor because controversies could provide a signal to the public of companies’ willingness to have transparency and accountability.

Construction materials mostly affect the environment during the first stages of their life cycle. Their placement during the construction stage is of equal importance as it affects their environmental impact during the stage of use and the final stage of demolition and rejection. The purpose of this paper is to analyse the environmental impact of different construction details, which are typically used for different city surfaces in Greece.

The analysis of the environmental impact of construction details is both quantitative and qualitative. The quantitative analysis is mainly based on embodied energy calculations of different possibilities of placement. The qualitative analysis of the different construction details considers other environmental issues, such as the water cycle in cities and the possibility of reuse and recycling, which are strongly influenced by the way materials are attached to the building shell or general substrate. All the data are gathered from bibliographical sources.

For urban open spaces and flat roofed buildings, the placement of various materials with and without the use of cement‐based mortars reveals significant differences in the environmental impact. The same applies to building façades with the current construction (cement‐based mortars or synthetic resins) compared to the ventilated façade system.

Architects and designers can use the methodology and the findings of this study in order to carefully design the construction details of building façades and flat roofs, and urban open spaces.

The study points out the significance of the construction stage in the evaluation of the environmental impact of materials in Greece, where there is extensive use of cement mortars and concrete in the construction of the paving of urban open spaces.

The role of labor unions in relation to corporate social responsibility (CSR) remains both ambiguous and crucial for union members and business leaders. Given the complex relationship between labor unions and corporations, this study aims to address whether labor unions keep corporations honest (by monitoring CSR activities) or potentially render CSR initiatives less necessary.

Using data from the MSCI Kinder, Lydenberg, Domini Database for firms in the Russell 1000 Index, this study examines the link between labor unions and CSR in U.S. companies over a six year period. Generalized least squares models were used to test the hypotheses for 3,937 firm-year observations.

The findings show that unionized companies generally pay less attention to CSR compared to nonunionized ones. The presence of labor unions and positive union-management relations both show a significant negative impact on CSR ratings, where positive union-management relations negatively affect CSR ratings more than just the presence of labor unions. Further, when considering the environmental, social and governance aspects of CSR separately, the results are more complex, suggesting that the relationship between labor unions and CSR varies depending on specific ESG dimensions.

CSR, a well-researched area, rarely addresses the companies' relationships with labor unions. Studies in South Korea and the UK have touched on the impact of labor unions on CSR, but in the USA it remains unexplored. This study extends this line of work by examining U.S. companies.