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This book aimed to conceptualise a construction workforce management model suitable for effectively managing workers in construction organisations. To this end, this chapter presents the conceptualised model, which consists of seven workforce management practices with their respective measurement variables. Drawing from existing theories, models, and practices, the chapter concludes that a construction organisation that will attain its strategic objectives in the current fourth industrial revolution era must be willing to promote effective recruitment and selection, compensation and benefits, performance management and appraisal, employee involvement and empowerment, training and development, as well as improving workers emotional intelligence and handling external environment pressure. These practices can promote proactiveness, participation, and improved skills and can lead to effective commitment, better quality, and flexibility within the organisation.

The construction workforce plays a crucial role in the successful delivery of any construction project and, eventually, the performance of any construction organisation. Effectively managing these workforces becomes crucial. However, past studies have shown that workforce management within the construction industry has been on the back foot, with workers being seen as resources required to deliver construction projects. This situation begs the need for a construction workforce management model that can be tailored to an organisation’s situation and adopted to manage workers and improve organisational performance effectively. To this end, this chapter reviewed existing workforce management theories, models, and practices to develop a suitable approach towards managing the construction workforce. Ultimately, a strategic workforce management with a classical view using a soft workforce management approach that embraces employees’ empowerment and development through trust was proposed. Five major practices that best suit the soft workforce management approach were identified as key constructs in the proposed construction workforce management model.

This first chapter provides a general overview of the book. The chapter describes workforce management and the lack of adequate attention to this concept within construction organisations. In the fourth industrial revolution era, where emerging technologies have continued to change how business functions, the need for an effective approach towards managing the construction workforce becomes crucial. Having a construction workforce management practice model was deemed vital at this point, where technological advancement is rapidly changing the construction environment, and skill shortage is evident in the construction industry of most countries around the world. As such, this chapter establishes that the development of a construction workforce management model that will help improve the management of construction workers serves a critical value of the book.

Recent library and information science literature suggests transgender and nonbinary populations are not treated, served and represented on an equal or equitable basis as cisgender populations are in libraries. This article aims to assess the prevalence of bias and inclusion efforts in Illinois libraries.

This quantitative, cross-sectional, descriptive study utilizes a critical queer theory lens and includes a Likert scale survey with a demographic question on gender identity to measure four constructs and determine if there is a relationship between gender identity and bias, inclusion efforts, and knowledge of transgender and nonbinary user needs.

Results suggest respondents' biases reinforce structural cisgenderism in Illinois libraries and may account for the unequal conditions trans and nonbinary populations experience. Additionally, there is a correlation between cisgender-identifying Illinois LIS professionals and biased attitudes and behaviors, use of inclusive practices, and knowledge of transgender and nonbinary user needs.

This study contributes quantitative data, analysis and practical implications to a body of predominantly qualitative library literature on transgender and gender diverse experiences in libraries.

The primary purpose of this study was to check the online information retrieval self-efficacy among library professionals in predicting the satisfaction of patrons within universities’ libraries.

The study was grounded on Bandura four sources of self-efficacy, encompassing mastery experience, vicarious experience, social persuasion and physiological states. To accomplish this, a meticulously designed questionnaire was administered to collect data from library professionals employed in universities libraries recognized by the Higher Education Commission in Punjab and capital city of Pakistan (Islamabad). Following by the validation of assumptions, researchers conducted a multiple linear regression test to predict the outcomes of the dependent variable by using the independents variables. Additionally, a comparative evaluation was carried out among all the independent variables to determine their respective contributions to satisfaction of library patrons.

The results emphasized the distinct and substantial significance of three variables, physiological states, social feedback and mastery experience in predicting the satisfaction of library patrons. Nevertheless, vicarious experience did not demonstrate a significant influence on the satisfaction of library patrons. Furthermore, influence of physiological states on the improvement of library patrons’ satisfaction was relatively higher compared to other three self-efficacy sources. In conclusion, research established the essential role of online information retrieval self-efficacy in enhancing the satisfaction of library patrons.

The findings of the study can form a solid basis for devising academic programs to train the library professionals for effective utilization of various information systems and databases. These programs play an important role in improving the self-efficacy of library professionals, ultimately refining their skills in online information retrieval.

In essence, this study provides insights into the factors which are pivotal in effective information searching process, ultimately leading to increase the satisfaction level of library patrons which has not been previously researched in Pakistan as well as the world context. Moreover, the study significance lies in contribute to academic discourse, its potential to transform and promote the library services and as well as empower library professionals in delivering the satisfying and efficient experience for library patrons in the current digital age.

In this chapter, we outline the background to the present volume, including the history of the Emonet group and the origins of the book series. We argue that the volume subtitle “A coat of many colors” reflects the diversity of approaches to studying emotion in organizational settings. We then provide a summary of the 11 contributor chapters in the volume, which illustrates the wide range of emotion-related topics covered in the volume.

This chapter provides an overview of the chapters in the volume, and gives a brief summary of each chapter, explaining how each fits into the overall theme of the volume and listing the key contribution of each chapter.

The introduction concludes with a summary of main findings of the chapters, and how they shape the future of the field, concluding that, since emotion-related topics nowadays are so integrated into the mainstream literature in organizational behavior and organization theory, maybe there is no longer a need to address emotions as a stand-alone topic.

The chapters in this volume address a wide range of emotion-related topics in the fields of organizational behavior and organization theory and point to the future of research in this field.

The architectural profession faces an increasingly complex ethical landscape. In recent decades, the ethical foundations for architecture – formally defined in professional codes of conduct and reflected in regulatory frameworks – have expanded to incorporate imperatives derived from environmental and social responsibilities. The present research examines how these expanding ethical expectations are reflected in, and supported by, recent research about architectural ethics.

Analysis is based on a systematic review of recent research (2002–2023) focussing on ethical values and associated behaviours in the architectural profession. The review identifies 37 research articles (from a starting set of 2,483 articles), which are analysed empirically and then qualitatively to draw out views around three types of ethical behaviour. The paper then discusses how these findings align thematically with the evolving ethical needs of architectural practitioners (as defined in the professional codes of ethics and conduct of the RIBA in the UK, AIA in Australia and the AIA in the USA).

While business ethics remains the focus of past research, there has been a rise in research about ethics and social and environmental factors. The content of professional codes reflects this shift, setting the conditions for architects to aspire to increased expectations of environmental and social responsibility.

This article undertakes the first systematic review of recent research about architectural ethics and its alignment with the content of contemporary professional codes. Organised thematically, recent research about ethical values and associated behaviours can offer guidance for the evolving ethical needs of architects.

The purpose of this paper is to understand the post-COVID-19 fluctuations in the building construction demand from various angles at the national, regional, and sectoral levels. Despite the significant impact of COVID-19 on the building construction industry, a detailed quantitative analysis of the COVID-19 impact on the building construction demand is still lacking. The current study aims to (1) establish a statistical approach to quantify the COVID-19 impact on the building construction demand; (2) investigate the post-COVID-19 fluctuations in the construction demand of different building services, regional markets, and building sectors using the historical time series of the architecture billings index (ABI); and (3) identify vulnerable market and sector and discuss the post-COVID-19 recovery strategies.

The research methodology follows four steps: (1) collecting national, regional, and sectoral ABIs; (2) creating seasonal autoregressive integrated moving average models; (3) illustrating cumulative sum control charts to identify significant ABI deviations; and (4) quantifying the post-COVID-19 ABI fluctuations.

The results show that all the ABIs experienced a statistically significant decrease after COVID-19. The project inquiries index reduced more but recovered faster than billings and design contracts indices. The midwest billings index decreased the most among the regional ABIs and the commercial/industrial billing index dropped the most among the sectoral ABIs.

This study is unique in the way that it utilized the ABI data and the approach using SARIMA models and CUSUM control charts to assess the post-COVID-19 building construction demand represented by ABI fluctuations.

The purpose of this study is to construct a new index to assess the impact of an energy price shock on macroeconomic indicators of India. This paper also shows a comparative analysis of the constructed index along with pre-existing World Bank and International Monetary Fund indices on energy.

This paper uses three vector autoregressions and compute the long-term impact of the indices on the considered macroeconomic variables through impulse response functions.

This paper finds that an energy price shock has a detrimental impact on the macroeconomic indicators of India in the long run. This study also finds that the constructed index acts as a relatively more sensitive index in comparison to the International Monetary Fund and World Bank indices, which is bespoke to a developing economy case. This sensitivity is ascribed to dynamic weighting for a different basket of energy components, which are more pertinent to an Indian context.

The novelty of this research lies in the construction of a new index and its comparison to the existing ones. This study justifies why a developing economy would require a different measure of energy as opposed to the existing indices.

The study aims to identify the possible risk factors for electricity grids operational disruptions and to determine the most critical and influential risk indicators.

A multi-criteria decision-making best-worst method (BWM) is employed to quantitatively identify the most critical risk factors. The grey causal modeling (GCM) technique is employed to identify the causal and consequence factors and to effectively quantify them. The data used in this study consisted of two types – quantitative periodical data of critical factors taken from their respective government departments (e.g. Indian Meteorological Department, The Central Water Commission etc.) and the expert responses collected from professionals working in the Indian electric power sector.

The results of analysis for a case application in the Indian context shows that temperature dominates as the critical risk factor for electrical power grids, followed by humidity and crop production.

The study helps to understand the contribution of factors in electricity grids operational disruptions. Considering the cause consequences from the GCM causal analysis, rainfall, temperature and dam water levels are identified as the causal factors, while the crop production, stock prices, commodity prices are classified as the consequence factors. In practice, these causal factors can be controlled to reduce the overall effects.

From the results of the analysis, managers can use these outputs and compare the risk factors in electrical power grids for prioritization and subsequent considerations. It can assist the managers in efficient allocation of funds and manpower for building safeguards and creating risk management protocols based on the severity of the critical factor.

The research comprehensively analyses the risk factors of electrical power grids in India. Moreover, the study apprehends the cause-consequence pair of factors, which are having the maximum effect. Previous studies have been focused on identification of risk factors and preliminary analysis of their criticality using autoregression. This research paper takes it forward by using decision-making methods and causal analysis of the risk factors with blend of quantitative and expert response based data analysis to focus on the determination of the criticality of the risk factors for the Indian electric power grid.