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This study empirically examines the impact of motivation, transformational leadership and involvement in strategic planning (SP) on academic staff performance at higher education institutions (HEIs). It also examines how academics' involvement in SP mediates the associations between motivation, transformational leadership and performance.

This article conducted a quantitative approach based on a self-administered survey. Partial least squares structural equation modeling (PLS-SEM) was applied to analyze the data gathered from 192 faculty members at governmental HEIs in Oman.

The results indicated that academic staff motivation has a significant and positive impact on their involvement in SP and performance in HEIs. It is also revealed that employee involvement in SP activities is significantly affected by transformational leadership, while the latter does not affect academic staff performance. There is also a significant association between academic staff involvement in SP and their performance. Moreover, the relationships between motivation, transformational leadership and performance are fully mediated by academic staff involvement in SP at HEIs.

The current empirical work is one of the few endeavors to develop an integrated structural model to investigate how faculty members' performance could be affected by motivation, transformational leadership and involvement in SP. Furthermore, it is considered one of the first attempts to explore the intervening role of academic staff involvement in the SP process in the connections between motivation, transformational leadership and performance within the HEI realm.

There is a compelling need for developing constructs in management science rather than adapting the constructs that have been developed in other domains. Having emerged in the 1950s, quality of work-life (QWL) measures have proved to be ineffective due to the lack of conceptual clarity and theoretical support. The article analyses the QWL measures highlights their coherence and verifies them for being used in specific contexts.

The study includes three stages to develop a QWL Measurement Scale. Fourteen questions were developed based on QWL concepts. They were validated using exploratory factor analysis (EFA) which split the dimensions into five factors. A survey was conducted on 375 medical residents. Finally, confirmatory factor analysis (CFA), convergence and validity were tested along the five dimensions.

Results extend the QWL concept and provide theoretical support for the same. Five dimensions were developed to measure QWL namely: pay and benefits, supervision, intra-group relations, working conditions and training.

The study may offer an overview of evaluation strategies to researchers and organizations that aim to improve employee QWL while they enhance its effectiveness through reliable instruments.

The scale developed in this study contributes to the body of QWL literature in the healthcare arena. It may be beneficial to carry out further research in this domain.

This paper aims to focus on the issue of high employee turnover in the Indian tech industry. An integrative review is conducted to analyse the past and current state of literature, as well as prepare a research agenda for future studies.

A pool of 72 articles published between 2010 and 2022 is reviewed with a special focus on Indian tech employees. This study elucidates the extent and impact of employee retention strategies through content analysis.

Two broad perspectives have been established in the literature: the reasons for quitting and the explanations for staying. By means of a comprehensive review, this paper combines these two aspects of literature and suggests factors under organization’s control to retain competent tech employees.

The study is designed to integrate the two theoretical viewpoints of employee turnover literature by consolidating the reasons behind quitting behaviour and staying intention. Codes combining the two aspects are presented as a valuable resource to retain tech talent.

Highly committed, motivated and engaged employees assure organizational success and competitiveness. The study aims to examine the association between human resource development (HRD) practices and employee engagement with organizational commitment as a mediating variable.

Data were collected from 760 employees of 13 star-rated hotels comprising 5 (five-star) and 8 (four-star). The data supported the hypothesized relationships. Structural equation modeling was used to evaluate the proposed model and hypotheses. Construct validity and reliability were established through confirmatory factor analysis.

The results indicate that HRD practices and affective commitment are significantly associated. HRD practices and continuance commitment were shown to be non-significantly associated. HRD practices and normative commitment were shown to be non-significantly associated. Employee engagement and organizational commitment are significantly associated. The results further show that organizational commitment mediates the association between HRD practices and employee engagement.

The generalizability of the findings will be constrained due to the research's hotel industry focus and cross sectional data.

The study's findings will serve as valuable pointers for stakeholders and policymakers of the hotel industry in the adoption, design and implementation of proactive HRD interventions to keep highly engaged and committed employees for organizational competitiveness and sustainability.

By evidencing empirically that organizational commitment mediates the nexus between HRD practices and employee engagement, the study extends the literature.

This study investigated the relationship of strengths-based leadership with nurses’ turnover intention and the mediating roles of job crafting and work fatigue in the relationship.

Data comprising 318 valid participants from three hospitals in Beijing were gathered at two points in time, spaced by a two-month interval. Structural equation modeling with a bootstrapping analysis was applied to test hypotheses.

This study found that strengths-based leadership negatively relates to nurses’ turnover intention, and job crafting and work fatigue mediate the relationship of strengths-based leadership with turnover intention, respectively.

The findings of this study highlight the importance of strengths-based leadership in decreasing nurses’ turnover intention and reveal two potential mechanisms through which strengths-based leadership is related to nurses’ turnover intention. In order to retain nursing staff better, nurse leaders should execute more strengths-based leadership behaviors and make more efforts to promote nurses’ job crafting and to reduce nurses’ experience of work fatigue.

Video game streaming (VGS) is emerging as an extremely popular, highly interactive, inordinately subscribed and very dynamic form of digital media. Incorporated environmental elements, gratifications and user pre-existing attitudes in VGS, this paper presents the development of an extended model of uses and gratification theory (EUGT) for predicting users' behavior in novel technological context.

The proposed model was empirically tested in VGS context due to its popularity, interactivity and relevance. Data collected from 308 VGS users and structural equation modeling (SEM) was employed to assess the hypotheses. Multi-model comparison technique was used to assess the explanatory power of EUGT.

The findings confirmed three significant types elements in determining VGS viewers' engagement, including gratifications (e.g. involvement), environmental cues (e.g. medium appeal) and user predispositions (e.g. pre-existing attitudes). The results revealed that emerging technologies provide potential opportunities for new motives and gratifications, and highlighted the significant of pre-existing attitudes as a mediator in the gratification-uses link.

This study is one of its kind in tackling the criticism on UGT of considering media users too rational or active. The study achieved this objective by considering environmental impacts on user behavior which is largely ignored in recent UGT studies. Also, by incorporating users pre-existing attitudes into UGT framework, this study conceptualized and empirically verified the higher explanatory power of EUGT through a novel multi-modal approach in VGS. Compared to other rival models, EUGS provides a more robust explanation of users' behavior. The findings contribute to the literature of UGT, VGS and users' engagement.

To remain sustainable, open source software (OSS) projects must attract new members—or newcomers—who make contributions. In this paper, the authors develop a set of hypotheses based on the knowledge barriers framework that examines how OSS communities can encourage contributions from newcomers.

Employing longitudinal data from the source code repositories of 232 OSS projects over a two-year period, the authors employ a Poisson-based mixed model to test how community characteristics, such as the main drivers of knowledge-based costs, relate to newcomers' contributions.

The results indicate that community characteristics, such as programming language choice, documentation effort and code structure instability, are the main drivers of knowledge-based contribution costs. The findings also suggest that managing these costs can result in more inclusive OSS communities, as evidenced by the number of contributing newcomers; the authors highlight the importance of maintaining documentation efforts for OSS communities.

This paper assumes that motivational factors are a necessary but insufficient condition for newcomer participation in OSS projects and that the cost to participation should be considered. Using the knowledge barriers framework, this paper identifies the main knowledge-based costs that hinder newcomer participation. To the best of the authors' knowledge, this is the first empirical study that does not limit data collection to a single hosting platform (e.g., SourceForge), which improves the generalizability of the findings.