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Limited research has investigated how spirit at work, functioning as a “good barrel,” fosters ethical decision-making (EDM) even in the presence of unethical managerial behavior (“bad apples”). Therefore, this study aims to investigate the spirit at work, a situational variable, as a moderating variable in the relationship between the love of money (LoM), an individual-level factor, and EDM.

A time-lagged survey of the members of the Marketing Association of Pakistan was conducted. The data were analyzed using partial least square structural equation modeling.

Adding to much of the existing research, which finds that LoM can influence ethical intention directly, this research finds that LoM influences ethical intention only through ethical judgment. Moreover, the spirit at work tempers the negative relationship between LoM and ethical judgment, thereby mitigating LoM’s detrimental effects not only on ethical judgment but also its downstream effects on ethical intention.

Organizations, by planting the seeds of spirit at work, can institutionalize good barrels, which can alleviate the negative effects of the marketing managers’ LoM, the root cause of unethical behavior. This way, this study establishes a business case for spirit at work.

The novelty of this study is the development and investigation of a holistic conceptual framework for EDM of marketing professionals that incorporates LoM as an antecedent, ethical judgment as an underlying mechanism, ethical intention as an outcome variable and spirit at work as a boundary condition.

The study investigates the nature of an understudied yet salient relationship between perceived overqualification (POQ) and work alienation in project management. It employs relative deprivation theory to propose two dimensions of the psychological contract, i.e. relational and transactional, as underlying mediating mechanisms and how empowering leadership mitigates the adverse effects of POQ.

To this end, in two waves, we surveyed 232 project members of three public-sector information and communication technologies (ICT) projects in Punjab, Pakistan. The data was analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM).

The key findings are: (1) POQ leads to work alienation, (2) relational and transactional contracts mediate this relationship, and (3) empowering leadership can mitigate the adverse effects of POQ in project management settings.

This research adds valuable insights to the scant POQ literature in public-sector project management settings. It also contributes by identifying the mediating role of relational and transactional psychological contracts and the moderating role of empowering leadership to mitigate the adverse effects of POQ in these settings.

This study is undertaken to examine the antecedents and role of big data decision-making capabilities toward decision-making quality and environmental performance among the Chinese public and private hospitals. It also examined the moderating effect of big data governance that was almost ignored in previous studies.

The target population consisted of managerial employees (IT experts and executives) in hospitals. Data collected using a survey questionnaire from 752 respondents (374 respondents from public hospitals and 378 respondents from private hospitals) was subjected to PLS-SEM for analysis.

Findings revealed that data management challenges (leadership focus, talent management, technology and organizational culture for big data) are significant antecedents for big data decision-making capabilities in both public and private hospitals. Moreover, it was also found that big data decision-making capabilities played a key role to improve the decision-making quality (effectiveness and efficiency), which positively contribute toward environmental performance in public and private hospitals of China. Public hospitals are playing greater attention to big data management for the sake of quality decision-making and environmental performance than private hospitals.

This study provides guidelines required by hospitals to strengthen their big data capabilities to improve decision-making quality and environmental performance.

The proposed model provides an insight look at the dynamic capabilities theory in the domain of big data management to tackle the environmental issues in hospitals. The current study is the novel addition in the literature, and it identifies that big data capabilities are envisioned to be a game-changer player in effective decision-making and to improve the environmental performance in health sector.

For decades, the fast population growth worldwide was interrelated with the adopted rapid lifestyle behavior that relies on the extensive use of fossil fuels. This primary energy source has caused various urban and environmental impacts, such as global warming, air pollution, and so forth. Consequently, the identified circumstance issues have caused many health, social, and economic hindering effects for global citizens. It poses an existential threat to humanity and the global earth's ecosystem. The alarming levels of urban pollution emissions are putting enormous challenges to the related stakeholders (governments, businesses, investors, automakers, and citizens) to admit the need to decarbonize the global economy and reach sustainable development goals (SDGs) for cleaner and smarter cities across borders. As such, a vital part of a smart city is the transport sector. The road transport sector, precisely, is one of the primary consumers of fossil fuels that contribute to high carbon dioxide emissions. Accordingly, it is essential to adopt novel and sustainable urban transport solutions and promote the achievement of the SDG's eleventh goal for sustainable cities and communities. This chapter provides insight into the present global energy situation with particular attention to the road transport sector. Indeed, it highlights different emerging technologies for a sustainable and smart urban mobility future that will mitigate the environmental situation thanks to the development of drive and internet telecommunication technologies. Furthermore, we aim in this chapter to study the international progress of the transition project using the Political, Economic, Social, Technological, Environmental, and Legal (PESTEL) analysis methodology. This study is to pinpoint opportunities for project development and the challenges that set back its evolution.

This classroom-based qualitative study explored the effectiveness of the debate learning strategy in female postgraduate education in Saudi Arabia, which is implementing its recent national development plan, Vision 2030. Educational reform is key to its transition to a modernized, knowledge-based economy. The debate format was used to elicit views on educational reforms and necessitated forming and articulating well-reasoned arguments and logic.

At a Saudi Eastern Province university, 13 female postgraduate students (preservice teachers) participated in a student-centered learning environment conducive to debates. Documents prepared for the debate underwent a qualitative content analysis.

Data were readily classified into five categories: educational reforms should meet 21st century skills, achieve educational outcomes, ensure Saudi Arabia’s knowledge-based economy, prioritize the role of the university and recognize the impact of both teachers and curricula. As key players in the nation’s future, participants affirmed the ongoing need for educational innovation and modernization.

While debates are an authentic part of Arabian heritage, they are less utilized in Saudi higher education settings. Findings affirm that debates are a beneficial learning strategy for bolstering future educators’ participation in Saudi Arabia’s educational reform.