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The study aims to develop a hierarchical model for innovative work behaviour (IWB) that can capture the complex associations among the factors contributing to IWB within the information technology (IT) sector. To accomplish this, the authors rely on an abductive approach using a graph theoretic model, often called interpretive structural modelling (ISM).

After conducting an in-depth literature review and using the Delphi method, the authors identified 12 factors (11 enablers and IWB as an outcome). The authors collected data through the Delphi approach by sending the questionnaire to 11 experts from academia and the IT sector who have extensive experience and knowledge relevant to the study. The authors then used the ISM method to analyse the relationships among these factors and understand their driving forces.

Based on the ISM model and the Matrice d'Impacts Croisés Multiplication Appliquée à un Classement analysis, the authors have identified that inclusive leadership, proactive personality and knowledge creation ability are the variables with strong driving power but weak dependence. Conversely, IWB has strong dependence but weak driving power. These findings suggest that to foster IWB, the organisation should prioritise inclusive leadership, proactive personality and knowledge-creation ability to succeed in challenging times. The study’s findings contribute to the social exchange theory, which explains IWB in a dynamic setting. Additionally, the study helps address the significant concerns that most IT companies face during times of crisis.

The study provides valuable guidance for managers and policymakers who are grappling with the challenges of improving IWB in the IT sector. This study is particularly relevant as the industry is currently navigating an economic recession and facing intense competition from other tech companies launching new products and services.

This research holds great significance for top executives, line managers and policymakers in the IT industry. It sheds light on the relevance and importance of various factors facilitating millennials' IWB.

To date, few studies have incorporated female entrepreneurship into the context of a country that relies heavily on natural resources and still has a wide gender gap due to historically established cultural norms. This study aims to investigate the impact of entrepreneurial ecosystem factors on women’s ability and desire to become entrepreneurs in Saudi Arabia.

The study applied a quantitative method using secondary data from the Adult Population Survey conducted by Global Entrepreneurship Monitor and built upon the recently proposed “Entrepreneurial Ecosystem Approach,” which has three levels: institutional, organisational and individual.

The findings demonstrate the significant roles that different entrepreneurial ecosystem dimensions can play in determining female entrepreneurial activity. Relationships were found among the variables of the three dimensions, indicating that broader institutional conditions can impact women becoming entrepreneurs.

A multi-year analysis could not be performed because the country data from one year limited the research to conditions in that time frame.

The findings advance entrepreneurial research by empirically examining the influencers' factors on women becoming entrepreneurs in a fast-growing emerging economy, collectivist society and non-European and non-North American institutional environment. The research tested a framework that gives more insight into the diverse factors affecting women in entrepreneurship at different levels.

This study examines how users' multidimensional representational fidelity factors affect sociability and cyberself engagement in the Metaverse platform; that is, how they interact with newly defined self-images as their personas in the environments. It investigates how representational fidelity serves platform users to perform social roles and increase their sociability by establishing a new cyberself, thus influencing continuous platform use.

This study surveyed 314 users of the Metaverse platform Horizon, where users can create a virtual agent avatar, meet people in the same online environment in real time, and interact with a sense of three-dimensional immersion. Data were analyzed using partial least squares regression models.

User socialization significantly influenced the intention to use the Metaverse platform. Representational fidelity was a crucial variable for sociability, and activity representational fidelity was the most influential aspect among the four other elements. Platforms should consider how to enable users to create and use activities that faithfully represent their personas.

The novelty of this study is that it introduces representational fidelity based on representation theory into the context of virtual persona in the Metaverse platform. This study extended representational fidelity to the socialization perspective by utilizing the integrated model of user satisfaction and the technology acceptance model. Through the results, this study emphasized that users' sociability significantly influences their intention to use the Metaverse platform. Finally, this study provides a feasible guideline on how practitioners could design and strengthen their platforms so that users can represent their cyberselves faithfully.

Research on artificial intelligence (AI) and its potential effects on the workplace is increasing. How AI and the futures of work are framed in traditional media has been examined in prior studies, but current research has not gone far enough in examining how AI is framed on social media. This paper aims to fill this gap by examining how people frame the futures of work and intelligent machines when they post on social media.

We investigate public interpretations, assumptions and expectations, referring to framing expressed in social media conversations. We also coded the emotions and attitudes expressed in the text data. A corpus consisting of 998 unique Reddit post titles and their corresponding 16,611 comments was analyzed using computer-aided textual analysis comprising a BERTopic model and two BERT text classification models, one for emotion and the other for sentiment analysis, supported by human judgment.

Different interpretations, assumptions and expectations were found in the conversations. Three subframes were analyzed in detail under the overarching frame of the New World of Work: (1) general impacts of intelligent machines on society, (2) undertaking of tasks (augmentation and substitution) and (3) loss of jobs. The general attitude observed in conversations was slightly positive, and the most common emotion category was curiosity.

Findings from this research can uncover public needs and expectations regarding the future of work with intelligent machines. The findings may also help shape research directions about futures of work. Furthermore, firms, organizations or industries may employ framing methods to analyze customers’ or workers’ responses or even influence the responses. Another contribution of this work is the application of framing theory to interpreting how people conceptualize the future of work with intelligent machines.

The purpose of this study was to evaluate the effectiveness of sustainability-focused, cocurricular, interdisciplinary programming for graduate students at creating future leaders in sustainability, i.e. did interdisciplinary sustainability programming further prepared graduate students in sustainability leadership beyond the scope of the individual student academic programs from the perspective of the student participants.

The objective of the study was met by evaluating the University of Michigan Dow Sustainability Fellows Program. With a decade of graduate-student participation, surveys and interviews of Fellows alumni from 2013 to 2020 were used to assess the program impact on creating sustainability leaders. Opportunities for program reflections were included through prompted open-ended questions.

A majority (88%) of the Fellows who responded to the survey agreed with the statement that their career path was positively affected by their participation in the program and that the cocurricular program provided opportunities to explore sustainability-related topics from perspectives they would not have experienced otherwise. The interdisciplinary aspect of the program and the focus on practical community sustainability projects were the most valued attributes of the cocurricular programming.

Supporting cocurricular interdisciplinary programs requires significant resources and intentionality to engage diverse disciplines and diverse partner organizations.

Programs that provide experiential opportunities to build interdisciplinary team skills successfully enable graduate students to become leaders in sustainability fields in the workplace and in outreach and service.

Cocurricular graduate student programming focused on community sustainability projects can successfully create valued learning experiences while simultaneously supporting communities with practical solutions to sustainability challenges.

To the best of the authors’ knowledge, this work is the first longitudinal assessment of the effectiveness of the interdisciplinary cocurricular programming on graduate student sustainability leadership outcomes. The results include feedback received from eight years of cocurricular programming.

This research seeks to examine the mitigating effect of religiosity on the relationship between abusive supervision and unethical behavior in employees, with moral disengagement serving as a mediating factor. Drawing on social cognitive theory, the study proposes an overarching moderated mediation framework to analyze this complex dynamic.

The testing of the model was based on hierarchical data obtained from 70 work units in services sector. Within this framework, 70 supervisors evaluated the unethical conduct of employees, while 700 employees assessed the abusive supervision they experienced and reported on their own moral disengagement and religiosity. For the analysis of both the measurement and the hypothesized models, multilevel modeling techniques in the Mplus software were utilized.

The study's findings indicate a direct positive link between abusive supervision and employees' unethical behavior, with moral disengagement mediating this relationship. Furthermore, the research discovered that abusive supervision leads to unethical behavior in employees through moral disengagement only in instances where their religiosity is low.

This research delves deeper by elucidating the role of moral disengagement in the dynamic between abusive supervision and unethical behavior. Diverging from prior research, this study uniquely highlights the moderating role of religiosity, showing its potential to weaken the impact of abusive supervision on unethical behavior in employees through moral disengagement.

This study uses the Conservation of Resource theory to examine the influence of abusive supervision on organizational citizenship behavior (OCB) via emotional exhaustion, using a moderated mediation framework.

A questionnaire was adapted to collect data from 212 full-time employees in 22 private health centers in Nineveh governorate in Iraq in two waves. Hypotheses were tested using hierarchical regression and bootstrapping analyses.

This study suggests that workplace friendship reduces the positive relationship between abusive supervision and emotional exhaustion of employees and reduces the negative indirect effect of abusive supervision on OCB.

First, this study provides academicians with a better understanding of the moderating effect of workplace friendship on the relationship between abusive supervision and emotional exhaustion and then its impact on OCB. Second, the paper is one of the few studies that dealt with the abusive supervision in the health sector using data from the Middle East in Iraq, while most leadership research is conducted in the western part of the world.

Relying on the affective events theory, this study conceptualizes abusive supervision as a micro-affective event and tests a multilevel moderated mediation arguing that abusive behaviors from the supervisor trigger negative affective reactions that, in turn, will enhance the likelihood of counterproductive work behaviors (interpersonal and organizational). We further propose that mindfulness will shape how employees react to abusive behaviors from supervisors.

A daily diary study conducted for five consecutive days was developed with Portuguese working adults (N = 176*5 = 880).

The multilevel findings showed that abusive behaviors triggered negative affect and this, in turn, promoted both forms of counterproductive work behaviors. The indirect effect regarding interpersonal counterproductive work behavior was moderated by mindfulness in such a way that the indirect effect was stronger for those who scored lower on mindfulness (versus higher levels). The indirect effect on organizational counterproductive work behavior was not significantly moderated by mindfulness.

The examination of mindfulness as a moderating factor contributes significantly to management by delineating practical strategies to assist employees in effectively managing micro-events involving abusive behaviors from supervisors. Consequently, these findings may inform the development of research-backed strategies aimed at mitigating the affective and behavioral repercussions of an abusive supervisor.

The inclusion of mindfulness in the model is an added value.

In light of the technological advancements and impact of the COVID-19 pandemic on educational systems, universities worldwide had to find new methods to ensure that the educational process continued. In many countries, including Egypt, it has become a priority to direct their institutions toward digital transformation, using electronic means in the educational process. A set of challenges emerged in the educational process, especially in architectural learning, focusing on the design studio; problems intensified and some professors rejected the idea of distance learning, announcing their strong adherence to traditional face-to-face learning. This research aims to find a methodology that informs the choice of digital technology in architectural design courses.

The researchers used both qualitative and quantitative methodology based on inductive, analytical, interview-questionnaire and empirical studies in Egypt.

Results show that many criteria affect the selection of proper applications. Also, using multiple applications in architecture design course helps students understand the material. However, hybrid learning is crucial in teaching architectural design since it cannot be effectively conveyed solely through distance learning.

The results of the research will help improve and develop the distance learning system in architectural education by proposing a methodology for choosing suitable electronic tools for architecture studio courses. These courses enhance the effectiveness of students' understanding and comprehension during the distance learning process to increase motivation for thinning development, imagination and educational skills.

This paper aims to promote the higher quality development of high-tech enterprises in China. While science and technology have greatly promoted human civilization, resources have been excessively consumed and the environment has been sharply polluted. Therefore, it is particularly important for current enterprises to make use of scientific and technological innovation to maximize the benefits of mankind, minimize the loss of nature, and promote the sustainable development of our country.

By using DEA-Banker-Charnes-Cooper (BCC) model and DEA-Malmquist model, this paper comprehensively examines the innovation efficiency of high-tech enterprises from both static and dynamic perspectives, and conducts a provincial comparative study with the panel data of ten representative provinces from 2011 to 2020.

The research findings are as follows: the rapid number increase of high-tech enterprises in most provinces (cities) is accompanied by an ineffective input–output efficiency; the quality of high-tech enterprises needs to comprehensively examine both input–output efficiency and total factor productivity; and there is not a positive correlation between element investment and innovation performance.

Because the DEA model used in this paper assumes that the improvement direction of invalid units is to ensure that the input ratio of various production factors remains unchanged but sometimes the proportion of scientific and technological activities personnel and the total research and development investment is not constant. In the future, the nonradial DEA model can be considered for further research. Due to historical data statistics, more provinces, cities and longer panel data are difficult to obtain. The samples studied in this paper mainly refer to the provinces and cities that ranked first in the number of national high-tech enterprises in 2020. Limited by the number of samples, DEA analysis failed to select more input and output indicators. In the future, with the accumulation of statistical data, the existing efficiency analysis will be further optimized.

Aiming at the misunderstanding of emphasizing quantity and neglecting quality in the cultivation of high-tech enterprises, this paper comprehensively uses DEA-BCC model and DEA Malmquist index decomposition method to make a comprehensive comparative study on the development of high-tech enterprises in ten representative provinces (cities) from two aspects of static efficiency evaluation and dynamic efficiency evaluation.