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This paper aimed to test a proposed framework highlighting strategic green marketing initiatives and how they drive new technology implementation towards green corporate performance, underpinned by institutional isomorphism.

The study used a quantitative method and convenience sampling approach in gathering data using adapted questionnaires to solicit first-hand information from 225 employees of small and medium-sized enterprises (SMEs) in the tourism and hospitality sector underpinned by the theory of institutional isomorphism.

The study shows that green communication and green strategy alignment have significant predictive effects on new technology implementation. Cultural isomorphism significantly moderated the effects of implementing new technology (i.e. green communication and strategy alignment). In addition, “new technology implementation had a significant predictive effect on green corporate performance”. Meanwhile, the moderation effect of “green creative behaviour on the new technology-green corporate performance dyad was positive but insignificant.”

The study’s novel framework confirms how green communication strategy and green strategy alignment complement cultural isomorphism to explain the impact of new technology implementation on green corporate performance, underpinned by institutional isomorphism.

This study aims to investigate the factors influencing the adoption intention of artificial intelligence (AI) by micro, small and medium enterprises (MSMEs) in Jordan.

The study adopts the technology–organization–environment (TOE) model. It examines the moderating effects of innovation culture, employee digital skill level and market competition on the relationships between the independent and dependent variables. A survey was utilized to collect data from 537 MSME owners or managers in Jordan and employed partial least squares structural equation modeling to test the hypotheses.

The results of the study support seven out of eight hypotheses. Business innovativeness, management support, perceived benefits and technological infrastructure have positive and significant effects on AI adoption intention, while perceived costs have no significant effect. However, the innovation culture, employee digital skill level and market competition were found to moderate the relationships between some of the independent variables and dependent variables.

The study provides valuable insights and recommendations for MSME owners, managers, employees, policymakers, educators and researchers interested in promoting and facilitating AI adoption by MSMEs in Jordan.

The current attempt extends the TOE framework by adding significant constructs representing the three contexts. Moreover, it is one of the few studies that analyzed the factors influencing the adoption intention of AI by MSMEs in Jordan, which are significant to the Jordanian economy and represent 99.5% of enterprises.

This study aims to explore and conceptualize metaverse adoption using a systematic literature review (SLR). It also aims to propose a conceptual model that identifies significant factors affecting metaverse adoption in the entertainment, education, tourism and health sectors.

A SLR was conducted using the “preferred reporting items for systematic reviews and meta-analyses” report protocol and the “theory, context, characteristics, methods” framework to include all relevant articles published up to March 2023, which were sourced from the Scopus and Web of Science databases.

The reviewed literature revealed that the countries with the highest publications in the field of metaverse were China and the USA. It was also found that the technology acceptance model was the most used theoretical framework. Survey-based research using purposive and convenience sampling techniques emerged as the predominant method for data collection, and partial least square-structural equation modeling was the most used analytical technique. The review also identified the top six journals and the variables that help to develop a proposed model.

This review presents a novel contribution to the literature on metaverse adoption by forming a conceptual model that incorporates the most used variables in the entertainment, education, tourism and health sectors. The possible directions for future research with identified research gaps were also discussed.

As the application of crowdsourcing contests grows, leveraging the participation of superstars (i.e. solvers who have outstanding performance records in a crowdsourcing platform) becomes an emergent approach for managers to solve crowdsourced problems. Although much is known about superstars’ performance implications, it remains unclear whether and how their participation affects the size of a contest crowd for a crowdsourcing contest. Based on social contagion theory, this paper aims to examine the impact of superstars’ participation on the crowd size and studies how this impact varies across solvers with different heterogeneity in terms of skills, exposure and cultural proximity with superstars in crowdsourcing contests.

This paper uses secondary data from one crowdsourcing platform that includes 6,587 innovation contests to examine superstars’ main and contextual effects on the crowd size of a contest.

Our results reveal that superstars’ participation positively affects the crowd size of a contest in general. This finding suggests that social contagion is a fundamental mechanism underlying crowd formation in crowdsourcing contests. Our results also indicate that in contests that involve multiple superstars, superstars’ effect on crowd size becomes negative when we simultaneously consider other solvers’ heterogeneity in terms of skills, exposure and cultural background, and this negative effect will be intensified by increases in the skill gap, extent of exposure and cultural proximity between superstars and other solvers in the same contest.

Our research enhances the understanding of the influence of superstars and the mechanism underlying the emergence of contest crowds in crowdsourcing contests and contributes knowledge to better understand social contagion in a competitive setting. The results are meaningful for sourcing managers and platform supervisors to design contests and supervise crowd size in crowdsourcing contests.

Demonstrate proof-of-concept for conducting NFL Draft trades on a blockchain network using smart contracts.

Using Ethereum smart contracts, the authors model several types of draft trades between teams. An example scenario is used to demonstrate contract interaction and draft results.

The authors show the feasibility of conducting draft-day trades using smart contracts. The entire negotiation process, including side deals, can be conducted digitally.

Further work is required to incorporate the full-scale depth required to integrate the draft trading process into a decentralized user platform and experience.

Cutting time for the trade negotiation process buys decision time for team decision-makers. Gains are also made with accuracy and cost.

Full-scale adoption may find resistance due to the level of fan involvement; the draft has evolved into an interactive experience for both fans and teams.

This research demonstrates the new application of smart contracts in the inter-section of sports management and blockchain technology.

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.

Drawing on the “conservation of resources” theory, the current study examines the mechanisms by which individual-focused transformational leadership (i.e. individualized consideration and intellectual stimulation) is associated with employees' taking charge by investigating the mediating roles of psychological capital and thriving at work.

A three-wave research study was conducted, and the data for the study included 220 employees’-supervisors’ dyads from Indian IT (information technology) organizations. Further, confirmatory factor analysis (CFA) was utilized to assess the measurement model, and study hypotheses were tested using Process macro.

The study results showed that individual-focused transformational leadership (IFTL) is strongly associated with psychological capital, thriving at work and taking charge. The findings of Process macro analyses indicated that IFTL, directly and indirectly, impacts taking charge behavior via psychological capital and thriving at work.

The study offers significant practical implications to managers, counsellors and HRM practitioners for crafting workplace interventions to augment employees taking charge behavior. The study findings would aid HRM practitioners in designing individualized-oriented leadership programs for building employees' positive psychological capabilities and thriving experiences for taking charge.

This paper broadens the existing leadership literature by proposing new pathways through which IFTL encourages employees to take charge. Mainly, research studies need to shed more light on leadership characteristics that influence employees' positive psychological behavior, that is psychological capital and thriving at work. Consequently, this study examined the underlying mechanism through which leadership, psychological capital and thriving interact to stimulate employees taking charge behavior.

Drawing on the transformational leadership theory, this study empirically tests the relationship between individual-focused transformational leadership (IFTL) (i.e. individualized consideration and intellectual stimulation) and change-oriented organizational citizenship behavior (Ch-OCB), proposing the mediating mechanism of job crafting. Also, this study examines the moderating role of employee resilience on the relationship between job crafting and Ch-OCB.

A nested data model using a 4-wave time-lagged sample of 210 employees–supervisors dyads from Indian information technology (IT) organizations was tested using hierarchical linear modeling.

The study results showed a significant association between IFTL and Ch-OCB. Furthermore, job crafting mediated the relationship between IFTL and Ch-OCB. Additionally, the findings indicate that the positive relationship between job crafting and Ch-OCB was found to be stronger when employee resilience levels were higher.

The study offers significant practical implications to managers, counselors and human resource management (HRM) practitioners for stimulating Ch-OCB. The study findings would aid HRM practitioners in designing individualized-oriented leadership programs to encourage employees to exhibit proactive job-crafting behavior, further augmenting Ch-OCB.

This paper adds to the existing transformational leadership literature by proposing new pathways through which IFTL stimulates job crafting, further leading to enhanced Ch-OCB. Mainly, research studies need to shed more light on leadership characteristics that influence employees' proactive and adaptive work behavior, i.e. job crafting and Ch-OCB. Essentially, this study examined the underlying mechanism through which IFTL relates to employees' Ch-OCB.

Transformational leadership (TFL) has been suggested to create positive changes in employees with the goal of developing them into leaders. The authors integrate this well-established leadership style with recent research on idiosyncratic deals (i-deals). The authors suggest TFL as a predictor of task and development-based i-deals, and propose i-deals as a mediating mechanism linking TFL to employee outcomes (job satisfaction, job stress and manager-rated performance).

The authors used a time-lagged research design, and collected four waves of data from 140 employees and 78 leaders.

TFL was found to be an important predictor of i-deals. I-deals predicted job satisfaction and job stress; and it mediated the relationship between TFL and these two employee outcomes. Yet, i-deals were not associated with employee performance and did not mediate the relationship.

First, it shows that transformational leaders who consider employees' unique skills and support their professional growth are more likely to grant personalized arrangements. Second, drawing from social exchange theory, it illustrates that i-deals may act as a linkage between TFL and employee outcomes. The paper bridges leadership and i-deals literature to identify key leverage points through which leaders can enhance employee satisfaction, well-being and performance.

There is a growing trend among online merchants to conduct help-request marketing campaigns (HMCs), which refers to a kind of marketing campaign that leverages participants' help-request to encourage the subsequent engagement of participants' online friends. The paper aims to investigate how individuals respond to online HMCs in social networking groups (SNGs). Integrating the norm activation model and regulatory focus theory, this paper examines the mediation effects of the two facets of responsibility perception, i.e. perceived causality and perceived answerability.

A field experiment was conducted by organizing a real HMC on WeChat. To manipulate request individuation, experimental confederates were engaged to serve as requesters in the HMC. The actual responses provided by the recipients (subjects) were captured via the HMC pages. The multiple-group analysis was used for data analysis.

Empirical results reveal that request individuation strengthens the effect of relationship closeness on perceived causality but reverses the effect of relationship closeness on perceived answerability from being positive to negative. Except for the negligible impact of perceived answerability on inaction, both perceived causality and perceived answerability affect recipients' reactions to HMCs as expected.

First, social media platforms should promote other-oriented prosocial values when designing features or launching campaigns. Second, the designers of HMCs should introduce a “tagging” feature in HMCs and provide additional bonuses for requesters who perform tagging. Third, HMC requesters should prudently select tagging targets when making a request.

First, this paper contributes to the literature on social media engagement by identifying responsibility as an other-oriented motivation for individuals' social media engagement. Second, this paper also extends our understanding of responsibility by dividing it into perceived causality and answerability as well as measuring them with self-developed instruments. Third, this study contributes to the research on WOM by demonstrating that individuals' response behaviors toward help-requests embedded in HMCs can take the form of proactive helping, reactive helping or inaction.