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This study aims to explore the relationship between promoter share pledging and the company’s dividend payout policy in India. Furthermore, this study also analyses the moderating impact of family involvement in business on the association between share pledging and dividend payout.

A sample of 236 companies from the S&P Bombay Stock Exchange Sensitive (BSE) 500 Index (2014–2023) has been analysed through fixed-effects panel data regression. For additional testing, robustness checks include alternative measures of dividend payout and promoter share pledging, as well as alternative methodologies such as Bayesian regression. Lastly, to address potential endogeneity, instrumental variables with a two-stage least squares (IV-2SLS) methodology have been implemented.

Upholding the agency perspective, a significantly negative impact of promoter share pledging on corporate dividend payouts in India has been uncovered. Moreover, family involvement in business moderates this relationship, highlighting that the negative association between promoter share pledging and dividend payouts is more pronounced in family companies. The findings are consistent throughout the robustness testing.

The present study represents a pioneering endeavour to empirically analyse the link between promoter share pledging and dividend payouts in India. It enhances the theoretical underpinnings of the agency relationship, particularly by substantiating the existence of Type II agency conflicts between majority and minority shareholders. The findings of this research bear significant implications for investors, researchers and policymakers, particularly in light of the widespread prevalence of promoter-controlled entities in India.

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 aims to assess the use of variational quantum imaginary time evolution for solving partial differential equations using real-amplitude ansätze with full circular entangling layers. A graphical mapping technique for encoding impulse functions is also proposed.

The Smoluchowski equation, including the Derjaguin–Landau–Verwey–Overbeek potential energy, is solved to simulate colloidal deposition on a planar wall. The performance of different types of entangling layers and over-parameterization is evaluated.

Colloidal transport can be modelled adequately with variational quantum simulations. Full circular entangling layers with real-amplitude ansätze lead to higher-fidelity solutions. In most cases, the proposed graphical mapping technique requires only a single bit-flip with a parametric gate. Over-parameterization is necessary to satisfy certain physical boundary conditions, and higher-order time-stepping reduces norm errors.

Variational quantum simulation can solve partial differential equations using near-term quantum devices. The proposed graphical mapping technique could potentially aid quantum simulations for certain applications.

This study shows a concrete application of variational quantum simulation methods in solving practically relevant partial differential equations. It also provides insight into the performance of different types of entangling layers and over-parameterization. The proposed graphical mapping technique could be valuable for quantum simulation implementations. The findings contribute to the growing body of research on using variational quantum simulations for solving partial differential equations.

This paper reviews the literature on disability inclusion (DI) in supply and demand chains of hospitality and tourism (H&T) organisations. The purpose of this study is to assess disability support and interventions within H&T organisations. Through the assessment, we identified gaps to recommend H&T scholars’ and practitioners’ knowledge of DI from new perspectives.

An integrative review was conducted to examine the published evidence on DI in H&T organisations. This study used high-ranking H&T journals from the Scopus and Web of Science databases between 2001 and 2023. In total, 101 empirical papers met the criteria for the review analysis.

DI focuses heavily on customer disabilities, with scant research on DI in H&T employment. The review emphasises the critical need for empirical research into the varied disability employment ecosystem within H&T organisations, focusing on social integration for inclusive workplaces.

This study contributes to the H&T literature, which previously overlooked the disability context in diversity. The research offers strategies for creating inclusive environments in the H&T industry for disabled consumers and producers.

The paper aims to expand on the works well documented by Joy Boulamwini and Ruha Benjamin by expanding their critique to the African continent. The research aims to assess if algorithmic biases are prevalent in DALL-E 2 and Starry AI. The aim is to help inform better artificial intelligence (AI) systems for future use.

The paper utilised a desktop study for literature and gathered data from Open AI’s DALL-E 2 text-to-image generator and StarryAI text-to-image generator.

The DALL-E 2 significantly underperformed when it was tasked with generating images of “An African Family” as opposed to images of a “Family”. The pictures lacked any conceivable detail as compared to the latter of this comparison. The StarryAI significantly outperformed the DALL-E 2 and rendered visible faces. However, the accuracy of the culture portrayed was poor.

Because of the chosen research approach, the research results may lack generalisability. Therefore, researchers are encouraged to test the proposed propositions further. The implications, however, are that more inclusion is warranted to help address the issue of cultural inaccuracies noted in a few of the paper’s experiments.

The paper is useful for advocates who advocate for algorithmic equality and fairness by highlighting evidence of the implications of systemic-induced algorithmic bias.

The reduction in offensive racism and more socially appropriate AI can be a better product for commercialisation and general use. If AI is trained on diversity, it can lead to better applications in contemporary society.

The paper’s use of DALL-E 2 and Starry AI is an under-researched area, and future studies on this matter are welcome.

This study aims to develop a taxonomy of requirements for mobile BIM technologies (MBT), clarify the relating terms and concepts, and identify the interactions between MBT features and the construction management functions on sites.

A positivist approach with elements of interpretivism is adopted to allow to capture what is perceived as “reality” in relation to individuals’ interpretation and experience in the use and implementation of MBT. This is achieved by using a mixed qualitative-quantitative approach that can capture the various understandings of MBT. The research methods included a longitudinal case study over 12 months, two project workshops, expert interviews and an industry survey that together helped to investigate MBT at project, enterprise and industry levels.

The MBT requirements taxonomy included requirements relating to both project and organisation. Project requirements addressed MBT functionalities for sites and information management, while organisation requirements focused on the integration of MBT solutions with the enterprise from information technology, legal and security perspectives. A detailed matrix showing the interactions between five key MBT features and seven construction management functions was also developed.

The two constructs developed by this study can help researchers to structure their investigation of key uses of MBT applications and their benefits. It can be used by researchers aiming to investigate integrated approaches to the digitalisation of construction sites, such as those enabled by Digital Twins. The interaction matrix can aid researchers in evaluating the intersections between the MBT functionalities and the site construction management functions (e.g. theoretical analysis of interactions from Lean Construction, benefit evaluation perspective). More broadly, the two constructs can support research and practice investigating the development of data-driven approaches on construction sites.

The developed MBT taxonomy can guide construction organisations in selecting suitable MBT for Field BIM for their projects. It can also act as a baseline against which varying MBT solutions can be compared.

Constructs such as taxonomies for MBTs; an understanding of MBT capabilities and use within the industry; and a lack of delineation between related terms, such as Mobile BIM, Field BIM, Site BIM, Cloud BIM and Mobile Apps, were lacking in the literature. This study contributed to addressing this gap.

This study aims to document students’ supply chain solutions developed through the internship hackathon program. The study profiled innovative solutions developed by university students in Kenya to solve health supply chain logistics challenges during and beyond COVID-19. This is done by exploring students’ experience in developing sustainable logistics and supply chain management capacity-building programs in a low-middle-income country (LMIC).

This study used a qualitative approach to explore the experiences and perceptions of students and mentors who participated in a hackathon program. The study followed a cross-sectional descriptive survey design, collecting data from the participants through online questionnaires. The data were analyzed and presented using thematic analysis and narrative techniques.

Findings provide preliminary evidence for narrowing the gap between theory and practice through a hackathon internship blended with a mentorship program. Assessment of this program provides evidence for developing solutions toward ensuring the availability of essential medicine in LMICs during a pandemic such as COVID-19 by students. The profiled solutions demonstrate a broader perspective of innovative solutions of university students, mentors and potential opportunities for a triple helix approach to innovation for health supply chain system strengthening.

This original study provides evidence for advancing contribution to developing innovative solutions through partnerships between investors, universities and industry practitioners interested in mentoring students in the health-care supply chain during COVID-19 in LMICs. Specifically, contingency factors that affect the implementation of innovative programs during and beyond global pandemics such as COVID-19 by students’ innovators are identified, and implications for policy action are discussed based on the praxis of sensemaking.

This study examines a novel approach that combines internship, mentorship and hackathon projects for logistics and supply chain students in LMICs. The approach aims to bridge the gap between theory and practice and to create innovative solutions for essential medicines during and after COVID-19. The study urges more resources for supporting such programs, as they benefit both academia and industry. The study also argues that hackathon internship programs can help the logistics and supply chain industry adapt to the post-pandemic era. The study offers insights for investors, universities and practitioners in the health-care industry.

This study shows how to develop innovative solutions for the health-care supply chain during COVID-19 in an LMIC through partnerships between investors, universities and industry practitioners who mentor students. The study identifies the contingency factors that influence the success of such programs during and beyond global pandemics such as COVID-19 and discusses the policy implications based on the sensemaking praxis of the student innovators.