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Although corporate restructuring has the potential to provide performance benefits to firms, it can also bring upheaval and challenges to the restructuring firms’ employees. Further, the frequency of corporate restructuring across the business landscape shows no signs of abating. The purpose of this review paper is to identify and synthesize what is known about the selection, implementation and outcomes of the human resource management (HRM) practices that firms deploy in the context of corporate restructuring, with the additional aim of distilling fertile research areas for scholars and best-practice guidance for practitioners.

This paper is based upon a systematic review of 110 articles published in highly-ranked, peer-reviewed journals from 2003 to 2023.

This review surfaces the predominant ability-, motivation- and opportunity-enhancing HRM practices employed by restructuring firms. It further elucidates the major themes and challenges associated with the use and outcomes of these practices across firms and restructuring settings. The analysis illuminates gaps and opportunities in the literature to suggest future directions for the study of HRM practices and corporate restructuring.

This paper identifies, categorizes and integrates the extant literature on HRM practices and outcomes in corporate restructuring, which is a topic that is salient to both researchers and managers. Papers are classified using the Ability, Motivation and Opportunity framework. An inclusive definition of corporate restructuring, which includes organizational, portfolio, governance and financial restructuring, is applied across two decades of research to provide a comprehensive and holistic assessment.

This paper aims to examine the impact of a board-level governance bundle (i.e. size, independence, expertise, meetings, gender diversity and multiple directorships) on the non-financial performance of National Health Service (NHS) hospitals – and, separately, by hospital type (i.e. trusts hospitals and foundation trusts hospitals).

A logit regression for panel data is used for a sample of 128 NHS trusts and foundation trusts across England from 2014 to 2018. The data was hand-collected from NHS hospitals’ annual reports and Care Quality Commission reports. The cancer waiting time target (i.e. 62-day cancer referral and treatment target) is used to measure non-financial performance.

The main findings for NHS hospitals indicate that multiple directorships positively and significantly affect non-financial performance. However, board expertise and gender diversity have a negative and significant influence. When the sample is partitioned, the results remain the same for the NHS foundation trusts hospitals. For NHS trust hospitals, except for multiple directorships having a positive and significant effect, all remaining governance attributes have an insignificant impact.

The findings have implications for policymakers and practitioners as they move to implement measures to improve hospital performance against the cancer waiting time targets in the English NHS.

To the best of the authors’ knowledge, this is the first study to examine the impact of corporate governance on cancer waiting time targets in public hospitals. Overall, this paper contributes to the corporate governance literature, especially in the context of public hospitals, and has significant practical and theoretical implications.

Sports advertisements such as the Super Bowl showcase products and brands that have invested increasingly large sums financially to gain viewers’ attention. However, how audio features in advertisements impact viewers' behavior remains unexplored.

Using the lens of signaling theory, this research uses advanced data analytics of voice and music audio in Super Bowl advertisements to examine its impacts on viewers.

Results show that advertisement viewers prefer more voiced frames and have a greater liking behavior of voiced frames with a low intensity (less loud) and a higher F1 frequency, which is typically associated with male vocal tracts. A fast music tempo works better for longer advertisements. The model controls for various types of ad appeals. The research underlines the importance of voice and music in signaling successful brand features that are likely to increase the ad-liking behavior of consumers (positive effect).

The current research implies that brands advertising through sports ads must carefully select voice actors and music in order to provide the most positive signals for a brand to have the most significant effect and, thus, a greater return on the high sums invested in the ads.

First, this research contributes in terms of a new research process for using audio analytics in advertising. The detailed research process outlined can be used for future research examining audio and music from advertisements. Second, our findings provide additional support to the important role of voice features (e.g. intensity and frequency) as signals in inducing responses from consumers (Biswas et al., 2019; Hagtvedt and Brasel, 2016). Third, the study surfaces a new theoretical association: the effect of tempo in moderating the relationship between duration and propensity to like an ad.

The domains of Industry 4.0 and Smart Farming encompass the application of digitization, automation, and data-driven decision-making principles to revolutionize conventional sectors. The intersection of these two fields has numerous opportunities for industry, society, science, technology and research. Relatively, this intersection is new, and still, many grey areas need to be identified. This research is a step toward identifying research areas and current trends.

The present study examines prevailing research patterns and prospective research prospects within Industry 4.0 and Smart Farming. This is accomplished by utilizing the Latent Dirichlet Allocation (LDA) methodology applied to the data procured from the Scopus database.

By examining the available literature extensively, the researchers have successfully discovered and developed three separate research questions. The questions mentioned above were afterward examined with great attention to detail after using LDA on the dataset. The paper highlights a notable finding on the lack of existing scholarly research in the examined combined field. The existing database consists of a restricted collection of 51 scholarly papers. Nevertheless, the forthcoming terrain harbors immense possibilities for exploration and offers a plethora of prospects for additional investigation and cerebral evaluation.

This study examines the Industrial Revolution's and Smart Farming's practical effects, focusing on Industry 4.0 research. The proposed method could help agricultural practitioners implement Industry 4.0 technology. It could additionally counsel technology developers on innovation and ease technology transfer. Research on regulatory frameworks, incentive programs and resource conservation may help policymakers and government agencies.

The paper proposes that the incorporation of Industry 4.0 technology into agricultural operations can enhance efficiency, production and sustainability. Furthermore, it highlights the significance of creating user-friendly solutions specifically tailored for farmers and companies. The study indicates that the implementation of supportive legislative frameworks, incentive programmes and resource conservation methods might encourage the adoption of smart agricultural technologies, resulting in the adoption of more sustainable practices.

This study examines the Industrial Revolution's and Smart Farming's practical effects, focusing on Industry 4.0 research. The proposed method could help agricultural practitioners implement Industry 4.0 technology. It could additionally counsel technology developers on innovation and ease technology transfer. Research on regulatory frameworks, incentive programs and resource conservation may help policymakers and government agencies.

Based on a thorough examination of existing literature, it has been established that there is a lack of research specifically focusing on the convergence of Industry 4.0 and Smart Farming. However, notable progress has been achieved in the field of seclusion. To date, the provided dataset has not been subjected to analysis using the LDA technique by any researcher.

This paper aims to provide a comprehensive overview of existing research on stigma in Arab countries.

A rapid review approach was used, leveraging the Scopus database to identify relevant articles. This streamlined method allows for timely assessments of the current state of knowledge, identifies research gaps and is particularly relevant given the social and cultural dynamics in Arab countries.

This study identified a growing interest in stigma-related topics in Arab countries, with a notable increase in the number of publications and citations over the past decade. Research focused on various aspects of stigma, including mental health, HIV, COVID-19 and diverse health conditions, shedding light on the prevalent challenges faced by different populations. Additionally, comparative studies highlighted the influence of culture and gender on the expression of stigma in the region.

To combat stigma in Arab countries, this study suggests the need for culturally sensitive interventions, integration of mental health services into health-care systems and the development of public health campaigns. These measures should be designed to protect vulnerable populations and prioritize educational initiatives for both the younger generation and health-care professionals.

Reducing stigma in Arab countries is crucial for fostering greater social cohesion, equality and overall well-being. The study underscores the importance of collaborations to adapt successful strategies to the unique Arab context.

This paper fills a crucial research gap by investigating stigma in Arab countries, emphasizing the need for culturally sensitive interventions, education integration and international collaboration to combat it effectively.

This study aims to examine how perceived brand credibility (PBC) moderates the adoption of the Internet of Things (IoT) and identifies the influencing variables that consumers consider while adopting IoT products and services. The study uses the technology acceptance model (TAM) and extends its constructs by investigating the role of PBC to measure the intention to use IoT.

To test the proposed relationships, data was gathered using the survey method, from respondents in India, an emerging market. The data was analyzed using partial least square based structural equation modeling (PLS-SEM). Moreover, the study measured the moderating effect of PBC and evaluated the effect of control variables – gender and degree of exposure to IoT.

The study found that perceived usefulness (PU) and perceived ease of use (PEOU) have a significant influence on customers’ attitudes towards using IoT devices and services. Further, PBC moderates the relationship between attitude and behavioral intention to utilize IoT devices and services. Both components of PBC – brand trustworthiness and trust – have significant moderating effect on the adoption of IoT-based services and devices.

The study tests TAM empirically in a new setting and extends it further. Introducing PBC as a moderating variable improves the understanding of the way consumers adopt IoT technology and hence strengthens the predictive power of TAM. Thus, the study provides rich insights for businesses to effectively position their IoT devices and services among their target users.

Structural mentoring barriers are policies, practices and cultural norms that collectively disadvantage marginalized groups and perpetuate disparities in mentoring. This study aims to better understand structural mentoring barriers at the postdoctoral training stage, which has a direct impact on faculty diversity and national efforts to retain underrepresented groups in research careers.

A diverse sample of postdoctoral scholars (“postdocs”) from across the USA were asked to participate in focus groups to discuss their training experiences. The authors conducted five 90-min focus groups with 32 biomedical postdocs, including 20 (63%) women and 15 (47%) individuals from underrepresented racial/ethnic groups (URG).

A social-ecological framework was used to categorize both the upstream and downstream manifestations of structural mentoring barriers, as well as mentoring barriers, overall. Notable structural barriers included: academic politics and scientific hierarchy; inequalities resulting from mentor prestige; the (over) reliance on one mentor; the lack of formal training for academic and non-academic careers; and the lack of institutional diversity and institutional mentor training. To overcome these barriers, postdocs strongly encouraged developing a network or team of mentors and recommended institutional interventions that create more comprehensive professional development, mentorship and belonging.

For postdoctoral scientists, structural mentoring barriers can permeate down to institutional, interpersonal and individual levels, impeding a successful transition to an independent research career. This work provides strong evidence for promoting mentorship networks and cultivating a “mentoring milieu” that fosters a supportive community and a strong culture of mentorship at all levels.

This study aims to answer the question of what characterizes organizations with future-potential, and with the help of a model introduced in this study, the authors propose what interventions can be identified and which improvements need to be made in traditional organizations so that they meet the requirements of future-potentiality.

A systematic literature review was conducted to identify management interventions. Citation and co-word analyses were also performed. Content analysis of 311 journal articles from the past five years was performed taking into account relevant keywords, and disciplinary narrowing was also applied. These articles were used to identify knowledge that could be used to suggest micro-, meso- and macro-level changes.

To develop the future potential of organizations, three organizational levels must be separated. The first is the micro level of relations between leaders and employees, where equity is a key value for future potentiality. It should be emphasized that not all employees’ organizational commitment is equally important for organizations with future potential, and leaders should strengthen their commitment according to individual needs and opportunities. The second is the meso level, where the decisive value is organizational moderation, and this suggests that a careful and restrained development is needed both in satisfying consumer needs and in innovation. The third is the macro level, where the defining value is responsibility and sustainability, which are necessary for achieving a state where the active development of national culture becomes possible.

Contrary to the authors’ expectations, it has been found that there are only a few studies dealing with change management for the purpose of achieving a future potential mode of organizational operation; thus, the results can be considered new and will contribute to the development of a cross-section of change management and future studies.

This study aims to examine whether, and how, green product innovations (GPIs), limited edition products, co-branded products and a combination of these product branding strategies affect consumers’ perception of brand value.

Two empirical between-subject experiments were conducted. Study 1 (N = 406) compares the impact of green and non-GPI on green brand image and brand value. Study 2 (N = 808) compares the incidence of GPIs, limited editions, co-branded products and a combination of these strategies on brand value, while exploring the mediating effect of perceived scarcity and moderating mechanism of consumers’ attitude toward co-branding partnership.

GPIs outperform nongreen alternatives in creating favorable brand values. Green brand image mediates the positive impact of GPI on consumers’ perceived values of the brand. In the context of GPIs, limited edition and co-branding are effective in enhancing a brand’s quality, price, emotional and social values. The success, however, relies on creating a perception of scarcity and fostering a positive attitude toward the co-branding partnership.

To the best of the authors’ knowledge, this study is the first to examine the positive impact of different green product branding strategies on a brand’s quality value, price value, emotional value and social value perception.

The purpose of this paper is to investigate the effect of reward redemption programs on donation amount, donation percentage and donation intention in the context of a bank credit card.

A 2 × 2 × 3 experiment is implemented with 1,070 consumers accessing a national US-based sample with a small compensation. The authors use general linear model to test the proposed hypotheses.

The findings show the main effects of reward types, limited-time message and value of reward redemptions on the percentage of donations and overall donation intention to charity. The type of reward (cash/points) is found to interact with the limited-time message and with the value of reward redemptions.

No prior studies have addressed the relationship between credit card redemption rewards and scarcity messages in the donation context. The study contributes to the understanding of the effectiveness of credit card redemption rewards with scarcity message in improving a consumer’s donation intention.