Search results

This study introduces a non-orthodox approach to the dominant policy-based approaches to graduate employability through contextualizing international students’ everyday experiences within their educational and wider structural contexts of the labour market.

The study used narrative frames to collect data from 180 international students from China, Hong Kong, India, Sri Lanka, Vietnam and Nepal at a New Zealand tertiary institution. Narrative frames as a research tool in educational contexts are used to ellicit the experiences of individuals in the form of a story as participants reflect on their experience. The frames use sentence starters to draw responses from participants about their experiences (Barkhuizen and Wette, 2008).

This study argues that, through a socialization process, international students develop identities that fit an ever-changing labour market. This process is catalysed by a higher education landscape that produces career-ready subjects capable of appropriating different social spaces that prepare students and graduates to enter the labour market. Further, it argues that graduate employability should be understood as a complex process through which students and graduates socialise themselves through negotiating the socioacademic spaces by (1) familiarising themselves with the dominant workspace norms, (2) positioning themselves as more career-ready individuals, and (3) imagigining employable selves capable of meeting the needs of the job market.

This study has limitations. Only one data collection source has been used. It would have been great to use narrative frames along with interviews. In addition, the data would have been stronger if the researcher could have used classroom observations, which could be a future initiative.

This study could provide practical insights to tertiary institutions about international students’ developing capabilities and identities so they could better prepare themselves for the world of work. Further, this study provides insights about some of the challenges that international students face in tertiary contexts to become career-ready. Hence, educators could employ strategies to better support these learners in their everyday learning spaces. This study also has useful benefits for future and current international students and international graduates regarding what investments they need to make so they can better socialize themselves in their tertiary and workplace practices.

This study has social implications. It helps international students better understand the social, cultural and academic expectations of their host countries. Therefore, they could better socialize themselves into those practices and contribute more effectively to their academic and workplace communities. The study also helps academic and workplace institutions strategize more effectively to address the social and cultural needs of international graduates. The study also contributes to the social and cultural understanding of the teachers that engage with international students on a daily basis by helping them devise activities that better address these students’ and graduates’ needs.

The study adds theoretical and methodological value to the debates around graduate employability. It includes the voices of 180 students and unravels their day-to-day experiences of capability building and employability development from their own perspectives.

To delve into the integration of global logistics and supply chain networks amidst the digital transformation era. This study aims to investigate the potential role of China’s Belt and Road Initiative (BRI) in facilitating the integration of global flows encompassing both tangible goods and intangibles. Additionally, the study seeks to incorporate third-party logistics activities into a comprehensive global logistics and supply chain integration framework.

Prior research is synthesised into a global logistics and supply chain integration framework. A case study was undertaken on Yuan Tong (YTO) express group to investigate the framework, employing qualitative data analysis techniques. The study specifically examined the context of the BRI to enhance comprehension of its impact on global supply chains. Information was collected in particular to two types of supply chain flows, the physical flow of goods, and intangible information and cash flows.

The proposed framework aligns well with the case study, leading to the identification of global logistics and supply chain integration enablers. The results demonstrate a range of ways BRI promotes global logistics and supply chain integration.

The case study, with multiple examples, focuses on how third-party logistics firms can embrace global logistics and supply chain integration in line with BRI. The case study approach limits generalisation, further applications in different contexts are required to validate the findings.

The framework holds promise for aiding practitioners and researchers in gaining deeper insights into the role of the BRI in global logistics and supply chain integration within the digital era. The identified enablers underscore the importance of emphasising key factors necessary for success in navigating digital transformation within global supply chains.

This study aims to help uncover corporate culture and values to attract and retain talent by understanding job reviews written by business-to-business (B2B) salespeople.

Over 40,000 job reviews on Glassdoor.com are analyzed by a dictionary-based content analysis tool, Linguistic Inquiry and Word Count (LIWC2015), to explore the links between corporate culture and linguistics characteristics of reviews as articulated by B2B salespeople. This study adopted a multidimensional scaling approach based on the nine cultural value scores to create a map of corporate profiles. A projection of the LIWC2015 scores on this map uncovers differences in language patterns and emotions expressed across the profiles.

Findings reveal a map of corporate profiles with two dimensions, namely, product-centricity and customer-centricity, that divide salesforce subculture into a 2 × 2 matrix of four types: Empathic Innovators, Product Pioneers, Customer Champions and Commodity Traders.

This study combined two data sets, scores on CultureX’s nine cultural values (agility, collaboration, customer orientation, diversity, execution, innovation, integrity, performance and respect) and job reviews on Glassdoor.com. This research seeks to develop profiles of the organizational culture and to use a blend of qualitative and quantitative methods. This study adds to the literature on salesforce subculture and showcases a solution to the methodological difficulty in categorizing and measuring culture.

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 authors seek to analyze the impact of weak corporate governance by top executives of a firm on the firm's earnings reports. This research is meant to further emphasize the impact of co-opted executives on a firm, primarily through their impact on earnings management.

Using financial data from 11,473 firm-year observations, the authors utilize ordinary least squares (OLS), 2-stage IV regressions, propensity score matching (PSM) and entropy balancing to analyze the impact of a co-opted top management team on discretionary accruals and restatements.

The authors find empirical evidence that firms with weak corporate governance from top executives are more likely to manipulate reported earnings and have lower financial reporting quality. The authors also find that the effect of co-opted executives on earnings management is weaker when a chief executive officer's (CEO’s) incentives are not aligned with those of top executives, suggesting that executives prevent earnings management due to reputational concerns. Co-opted chief financial officers (CFOs) increase the magnitude of earnings management in a firm but are not solely responsible for the authors' results.

The authors' results suggest that the top executive team provides an important first defense in the prevention of earnings management and corporate wrongdoing. Co-option of the top executive team may be an important consideration when doing research into corporate governance.

COVID-19 has rendered many firms' business models, strategies and performance vulnerable, including entrepreneurial financials. Some managed to survive, while others drowned in the epidemic swamp. This study offers an exceptional model to fill the gap.

Employing a rigorous qualitative design, the study utilizes a novel framework that integrates institutional theory (IT) and corporate entrepreneurial strategy (CES). Semi-structured interviews were conducted, and thematic analysis identified key themes: external environment, institutional environment and organizational response, CES and performance and survival.

The study reveals the dual nature of the external and institutional environment, acting as both facilitators and barriers for entrepreneurial financial firms (EFFs). It highlights the robust CES exhibited by these firms during the pandemic, demonstrating their adept balancing and integration of different CES components in their organizational response. The EFFs employ a mix of financial and nonfinancial indicators for performance assessment, yielding varied outcomes based on contextual factors.

EFFs and stakeholders are guided to adapt their business models, balance institutional pressures, implement CES and evaluate performance. It advocates collaboration within the entrepreneurial finance ecosystem and leveraging opportunities emerging from the pandemic, including new market segments, technologies, innovations and regulatory changes.

This topic is underexplored in many emerging economies. Fresh perspectives and rigor frameworks are developed on how EFFs navigate and capitalize on the pandemic under uncertainties.

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.