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Perceived benefits of building information modelling (BIM) have been discussed for some time, but cost–benefit benchmarking has been inconsistent. The purpose of this paper is to investigate BIM feasibility and evaluate investment worth to elucidate and develop the current understanding of BIM merit. The aim of the study is to propose a research agenda towards a more holistic perspective of BIM use incorporating quantifying investment return.

An in-depth examination of research patterns has been conducted to identify challenges in the assessment of the investment value and return on investment (ROI) for BIM in the construction industry. A total of 75 research articles were considered for the final literature review. An evaluation of the literature is conducted using a combination of bibliometric analysis and systematic reviews.

This study, which analysed 75 articles, unveils key findings in quantifying BIM benefits, primarily through ROI calculation. Two major research gaps are identified: the absence of a standardized BIM ROI method and insufficient exploration of intangible benefits. Research focus varies across phases, emphasizing design and construction integration and exploring post-construction phases. The study categorizes quantifiable factors, including productivity, changes and rework reduction, requests for information reduction, schedule efficiency, safety, environmental sustainability and operations and facility management. These findings offer vital insights for researchers and practitioners, enhancing understanding of ’BIM’s financial benefits and signalling areas for further exploration in construction.

The ’study’s outcomes offer the latest insights for researchers and practitioners to create effective approaches for quantifying ’BIM’s financial benefits. Additionally, the proposed research agenda aims to improve the current limited understanding of BIM feasibility and investment worth evaluation. Results of the study could assist practitioners in overcoming limitations associated with BIM investment and economic evaluations in the construction industry.

The purpose of this paper is to analyze if gained trust is intrinsically motivating and whether it is correlated to subjective person-job fit and occupational turnover intentions among Swedish real estate brokers.

The empirical data was gathered via a survey targeting all real estate brokers in Sweden and analyzed using structural equation modeling.

The results indicated that brokers are motivated by gained trust from their sellers and that gained trust is a vital part of person-job fit among brokers. In addition, the results show that higher levels of person-job fit reduce the occupational turnover intentions among brokers.

Being a real estate broker in Sweden might differ from being a broker in many other otherwise comparable countries. Another limitation is the lack of measurements of job satisfaction and/or intrinsic motivation connected to other job characteristics besides customer relations and gained trust. The high mean values of person-job fit, and intrinsic motivation connected to gained trust from customers are contributing to a more nuanced description of brokerage.

This study gives insights about intrinsic motivation and its connection to person-job fit. Awareness of what drives brokes can be used by both workers and managers to reduce occupational turnover.

This study is interesting from a person-job fit theory advancement perspective since the focus is given to the connection between specific situational work characteristics and person-job fit.

This paper aims to explore individuals’ economic empowerment and political empowerment association and the moderation role of entrepreneurship development programs on this relationship in the context of post-revolution Tunisia, which is a newer developing democracy.

The study uses a quantitative approach based on econometric modeling. A questionnaire was designed and administrated to a stratified random sample of 343 participants in the Entrepreneurship for the Participation and Inclusion of Vulnerable Youth in Tunisia program, funded by the United Nations Democracy Fund and implemented in rural northwestern Tunisia between 2017 and 2021. A coarsened exact matching method is also applied for robustness analysis.

The analysis shows that when individuals have enhanced economic decision-making agency and are involved in economic networks, they are more likely to demonstrate higher political empowerment. It also shows that expanding rural individuals’ economic opportunities by providing entrepreneurial resources, such as entrepreneurial training and microcredit, strengthens individuals’ economic empowerment and political empowerment association.

The study provides practical implications for policymakers in newer developing democracies. Citizens’ political empowerment and inclusion in rural areas could be promoted by developing entrepreneurship development programs, which could help reinforce the citizens-state relationship and establish more stable social contracts. The research also provides practical implications for the international development community, donor agencies and program designers through duplicating similar programs in other countries with weak central government structures (i.e. post-conflict environments, post-revolution).

The research attempts to contribute to the ongoing debates linking entrepreneurship, economic empowerment and political/citizen empowerment. It focuses on a Middle East and North Africa country, Tunisia, characterized by socioeconomic issues and low civic participation.

This paper aims to explore how open innovation communities contribute to the adoption of building information modelling (BIM) in the construction industry.

The paper presents a cross-case analysis of two construction communities, buildingSMART Norway and the BIM Vietnam Community. Data were collected based on 21 semi-structured interviews conducted with industry experts actively engaged in these two communities. The theoretical basis for the study was open innovation and the institutional intervention model, which delineates institutional actions related to the adoption of new information technology.

The findings show both similarities and differences in the way in which the communities contribute to industrial practice. Both communities use similar knowledge channels and repositories but apply different approaches to innovation creation and diffusion. In addition, trust can support BIM innovation in the community context.

The comparison of buildingSMART Norway and the BIM Vietnam Community in accelerating BIM innovation allows for exploring how open innovation communities support BIM adoption in the construction industry. The findings provide insights for construction communities into creating and diffusing BIM innovation. In addition, the examples of gaining benefits from community innovation activities are useful for construction firms and practitioners.

This article aims to examine whether the organizational changes brought about by digital transformation (DT) -such as a new organizational culture, new leadership and new business models-influence talent management, with the latter being seen as one of the major challenges facing companies in their process of digital transformation.

Using a quantitative methodology, a survey was applied to 314 companies in order to analyze the results of their talent management in the DT process. DT is not only digitalization as demonstrated in this study. Talent management is the key piece that can facilitate or block achieving high levels of digital maturity.

The study finds that the changes brought about by DT impact talent attraction, talent retention, and talent management in general, and also shows that digital transformation does not depend on digitalization, but rather that talent management is the key to either helping or preventing high levels of digital maturity being achieved.

The originality of this work lies in examining the influence of the changes that DT entails in talent management.

Tax evasion and tax avoidance consistently strip national budgets of tremendous financial resources. Consequently, the discussion on tax fraud remains topical and a moving target subject matter. Various antecedents and moderators of tax fraud have been investigated over the years, yet the literature dedicated to the linkage between corporate social responsibility (CSR) and tax practices exhibited ambiguous results. In this respect, the purpose of this study is to present the results of an investigation into the nonfinancial factors affecting tax fraud and the moderating effect of CSR-related behaviors.

Structural equation modeling (SEM) was applied in a multivariate statistical analysis technique to analyze structural relationships. The measurement and structural models were evaluated using component-based partial least squares (PLS), a rigorous statistical instrument. The opportunity to use PLS-SEM is supported by the advancement of models comprising both reflective and formative constructs as in the present case.

Data collected from a sample of 290 respondents from Romania confirmed that social and ethical factors significantly impact tax fraud and CSR-related behaviors. In addition, the latter plays a moderating effect between nonfinancial factors and tax fraud.

The research sample is country-centric (i.e. subjects come from Romania) while the questionnaire-based survey relies on self-reported measures.

The paper adds new evidence to the extant knowledge and points to theoretical and managerial implications.

Evaluating emergency preparedness exercises is crucial for assessing enhanced knowledge, facilitating learning and implementing knowledge in organizations. The cognitive process of motivation for action is a precursor for action, coping behavior and individual learning. This study aims to focus on how guided evaluation of emergency preparedness exercises can enhance cognitive motivation and influence the mental readiness of exercise participants.

This is a conceptual paper with a model approach design. The main conceptual contribution is suggesting a model for guided evaluation in emergency preparedness exercises. We present a theoretical background for understanding the increase in motivation based on social cognitive learning theory. In particular, this study discusses how different evaluation steps contribute to enhanced motivation and learning for exercise participants.

Increased motivation and enhanced personal performance standards could be achieved through using processes that lead to self-efficacy in guided exercise evaluation. Specifically, sources of enhanced motivation, such as repeated coping experiences, self-regulation processes, mastery motivation and performance motivation, would proliferate the readiness of individual crisis managers and teams.

This article suggests an evaluation model for use in emergency preparedness exercises. This approach combines bottom-up and top-down processes for debriefing, reflection and feedback, both individually and in teams. This approach aims to enhance exercise participants’ motivation and utilize exercise evaluation for organizational learning.

The conceptual discussion leads to developing implications for evaluation practice, suggesting how to structure evaluation and why. This study is novel for its explanation of how to use evaluation in the learning process.

Many women report experiences of street harassment during their lifetime. Previous quantitative survey research has shown the variety of ways in which this type of harassment can impact upon a victim’s life, including restricting their freedom of movement and fear of further victimisation. The purpose of this study is understand the immediate and enduring psychological impact of street harassment on female victim-survivors.

The present study aims to explore, qualitatively, women’s experiences of street harassment through thematic analysis of on 35 online blog posts. Data were collected from the “Stop Street Harassment” website, where women are invited to share their experiences anonymously.

Three main themes were generated from the data. First was the age at which women began to experience street harassment, with recurring early incidents during formative childhood years. Second was the impact that experiences had on their mental health and psychological well-being with feelings of shame, fear, self-loathing, as well as decreased self-esteem and confidence experienced in the immediate aftermath – though the longer-term negative emotions reported were enduring feelings of anger alongside a constant state of anxiety from feelings of vulnerability to further victimisation. The final theme was the modification of behaviour after experiencing street harassment where women choose to avoid walking alone on the streets or consciously changed their clothing choices, to avoid being harassed.

This study offers a further qualitative insight into the real-life experience and psychological consequences of street harassment upon survivors’ mental health.

There is a widely held belief that open government data (OGD) have the potential to generate both economic and social value. This study aims to empirically unpack the relationship between OGD, diversification activities and innovation in the pursuit of economic value creation by firms.

Using a matched sample comparison method and difference-in-differences analyses, the authors study the impact of OGD on innovation over time in the USA. The authors considered the open government directive in the end of 2009 in the USA as a policy intervention and collected 10 years of financial data of 79 firms that use OGD and 79 matched control firms in the USA. The authors compare US firms using OGD, with matched control firms, regarding the firms’ level of product diversification as a measure of innovative use of OGD.

The authors provide empirical evidence that OGD policy contributes toward innovation, and hence economic value creation, through product diversification. Firms that leverage OGD show superior product diversification in comparison to the matching control firms. The results suggest that OGD contribute to firms’ innovation and pursuit of economic value, as evidenced by their increased product diversification.

Although the extant literature concerning OGD has underscored the impact of OGD on innovation and economic value generation, there is a lack of empirical evidence in the literature. This study seeks to add to the extant literature by providing empirical evidence that contributes to the understanding of the relationship between OGD, diversification and innovation in the pursuit of economic value creation.

This study investigates the individual and binary (i.e. combined) effects of institutional dimensions of open government data (which include instructional, structural and accessible rules) on scientific research innovation, as well as the mediating roles that researchers' perceived data usefulness and data capability play in between.

Based on a sample of 1,092 respondents, this study uses partial least squares structural equation modeling (PLS-SEM) and polynomial regression with response surface analysis to evaluate the direct and indirect effects of individual and binary institutional dimensions on scientific research innovation.

The findings demonstrate that instructional, structural and restricted access data have a positive effect on scientific research innovation in the individual effect. While the binary effect of institutional dimensions produces varying degrees of scientific research innovation. Furthermore, this study discovers that the perceived usefulness and data capability of researchers differ in the mediating effect of institutional dimensions on scientific research innovation.

Theoretically, this study contributes new knowledge on the causal links between data publication institutions and innovation. Practically, the research findings offer government data managers timely suggestions on how to build up institutions to foster greater data usage.