Search results

The purpose of this study is to explore the human resource development (HRD) implications of perceived higher education (HEd) leadership effectiveness on academics’ quality of worklife (QWL) in the context of COVID-19. Drawing on conservation of resource theory, this study explains the mediating role of resource adequacy (RA); then this study investigates the moderating role of COVID-19-related risk perception (CRP) on the relationship between university leadership (UL) and both academics’ turnover intention (TI) and academics’ QWL.

This study used a quantitative research exploiting the pandemic experiences and perceptions survey, PEPS, to collect data from 300 academic staff in private and public HEd institutions in Lebanon. The analyses include the test of the mediating effect of RA as well as the moderated mediation effect of CRP through regressions, PROCESS and bootstrapping.

The findings suggest that by enhancing RA, effective UL positively influences the QWL and mitigate the TI in Lebanese HEd. Furthermore, this study found that CRP weakens the direct relationship of UL on RA and the indirect effect of UL on the QWL and TI via RA such that the relationships are weakened when COVID-19 risk perception was high rather than low.

The results imply that HEd HRD professionals could think of effective human resource interventions of how to maintain good working environment where academics are facilitated to acquire high level of resources which lead to improving their QWL and mitigating the negative outcome (TIs).

To the best of the authors’ knowledge, no research has been made to investigate the moderated mediation model of the “pandemic experience and leadership perceptions” (PEPS) in the HEd sector in Lebanon, addressing academics’ experiences in business schools. This study is unique because it was conducted during the utmost pandemic outbreak (mid academic year 2021) collecting data in real time. This research contributes to the HRD literature by showing empirical evidence of the relationships in the context of Lebanese HEd institutions.

This study aims to uncover the ongoing discourse on generative artificial intelligence (AI), literacy and governance while providing nuanced perspectives on stakeholder involvement and recommendations for the effective regulation and utilization of generative AI technologies.

This study chooses generative AI-related online news coverage on BBC News as the case study. Oriented by a case study methodology, this study conducts a qualitative content analysis on 78 news articles related to generative AI.

By analyzing 78 news articles, generative AI is found to be portrayed in the news in the following ways: Generative AI is primarily used in generating texts, images, audio and videos. Generative AI can have both positive and negative impacts on people’s everyday lives. People’s generative AI literacy includes understanding, using and evaluating generative AI and combating generative AI harms. Various stakeholders, encompassing government authorities, industry, organizations/institutions, academia and affected individuals/users, engage in the practice of AI governance concerning generative AI.

Based on the findings, this study constructs a framework of competencies and considerations constituting generative AI literacy. Furthermore, this study underscores the role played by government authorities as coordinators who conduct co-governance with other stakeholders regarding generative AI literacy and who possess the legislative authority to offer robust legal safeguards to protect against harm.

The purpose of this paper is to investigate the relationship between CEOs' inside debt holdings (pension benefits and deferred compensation) and the operating leverage of the firms they manage, with the aim to examine whether CEO incentives play a role in corporate risk-taking.

The authors investigate the relation between CEO inside debt holdings (CIDH) (pension benefits and deferred compensation) and the operating leverage (DOL) of the firms they manage. Using a sample of 11,145 US firm-year observations over the period 2006–2017, the authors find a strong negative association between CIDH and DOL. Additional analyses reveal that the relationship between CIDH and DOL is more pronounced in firms with heightened agency issues, powerful CEOs and for CEOs with stronger professional networks. The results are robust to various sensitivity and endogeneity tests.

The authors find strong evidence confirming the expected negative association between CEO inside debt and DOL suggesting that firms with higher inside debt tend to maintain lower levels of operating leverage. These findings continue to hold with the alternative measure for the inside debt and operating leverage, and across a range of tests designed to rule out the possibility that the primary findings are in any way driven by potential endogeneity. In addition, the findings demonstrate that the presence of manager-shareholder agency conflicts can strengthen the inside debt–DOL relationship suggesting the strong role of inside debt in reducing firm risk.

Findings in this paper have implications for design of compensation structures so that corporate boards can establish incentives as a tool for risk management. A limitation of this study is that it is focused on one market, i.e. US listed companies, so the findings may not be applicable on a global scale.

To the best of the authors’ knowledge, this is the first study that links firm-level management of operating leverage through design of CEO inside debt incentives (two obvious choices for risk-reduction at the CEOs’ disposal include reducing financial risk through reduction of firm leverage and reducing operating risk through reduction of operating leverage). While use of firm leverage as an instrument of choice has been explored in the past, use of operating leverage to achieve risk reduction when CEO possess high inside holding, has received very little attention.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.

The purpose of this study is to review the work–life balance (WLB) among academics. Academics are the pillars of higher education institutions’ (HEIs) mission to provide quality education to students and the community, supporting socioeconomic development. Most academics today are overworked and overburdened with duties, forcing them to work longer hours on weekends and at odd hours. This eventually affects their work–life balance and causes boundary conflicts between work and personal life.

This study proposes a bibliometric analysis to investigate the underlying knowledge structure of this phenomenon by uncovering the past and present themes and predicting future trends of WLB in academia. This review adopts two analyses (bibliographic coupling and co-word analysis), presenting the knowledge structure network. A total of 307 journal publications were retrieved from the Web of Science (WoS) database, revealing significant clusters and themes.

Findings identified central themes, including the issue of women in academia, predictors and the impact of WLB in academia.

Implications towards research and practice relevant to scholars and practitioners are discussed, particularly in balancing academics, professional work and personal life.

This study presents a state-of-the-art bibliometric analysis by uncovering the knowledge structure of academics’ work–life balance in HEIs.

Management of power distribution companies (discoms) in India has been historically criticized on the ground of inefficient management. Inefficiency in operations triggered management by private franchisees for promotion of managerial and technical expertise. However, franchise contracts have achieved mixed outcomes despite the business model being a decade old in the Indian power distribution sector. Therefore, this study sheds light on the drivers of discoms (principal) with the franchisees (agent) for the achievement of the common performance goals, highlighting the agency issues at multiple levels across the organizational hierarchies. The study seeks to acknowledge the commonalities and differences between and across varying levels.

A qualitative embedded single case study was conducted in an Indian state, namely Odisha. The study was built on archival analysis, personal observations and semi-structured interviews with the franchisors and franchisee officials across the organization's hierarchical levels. A conceptual model based on the review of prior literature formed the set of coding and presentation for the study.

The study provides insights on factors that play a role in effective power distribution management, operational efficiency and improved financial performance through the partnership of the principal and the agent.

The study is predominantly dependent upon interviews. This paved the way for the limitation of human biases. Additionally, deep insights were drawn from a single case study of a discom's decision to hire franchisees. However, this was at the cost of the number of organizations interviewed. The findings of the study could be built across other areas or nations.

There is adequate literature on franchising as a business model. However, literature is lacking in highlighting the commonalities and differences between different contracting parties and their impact on the performance of the contract. Additionally, there is a dearth of literature on franchising in the power distribution sector. Therefore, studying the model from multiple perspectives would contribute to the literature on the power sector and franchising.