Search results

This study seeks to explore the strategies purchasing and supply managers can employ to navigate the challenges presented by low-probability-high-impact (LPHI) disruptions. The core aim is to create a process framework that provides a systematic, step-by-step method to help purchasing and supply managers effectively deal with the chaos triggered by LPHI events.

The study draws on qualitative data collected from eight firms operating within different industries (healthcare, fishing, food retail and manufacturing), where two firms represented each industry. The data underwent a thorough analytical process involving open coding, axial coding and aggregation of categories, resulting in the identification and formulation of overarching themes.

The analysis unveiled five primary challenges purchasing and supply management (PSM) encountered during the COVID-19 pandemic. These include supply shortages, supplier opportunism, the imperative to build a new supply base, price volatility and the need to make critical decisions based on limited information. It also identified contingent factors that influenced the magnitude of these challenges and approaches applied to address them. Additionally, it identified five responses to the challenges and two contingent factors that affected the responses.

This study extends the existing body of knowledge in purchasing and supply management by developing a process framework tailored to assist purchasing and supply managers in effectively addressing LPHI disruptions. To the best of our knowledge, this is one of the first studies to offer a structured, step-by-step approach that guides PSM professionals in navigating the chaos likely to be caused by such events.

The aim of this paper is to summarise the state-of-the-art debate on impact of artificial intelligence on unemployment and reporting up-to-date academic findings.

The paper is designed as a review of the labour vs capital conundrum, the differences between industrial automation and artificial intelligence, threat to employment, the difficulty of substituting, role of soft skills and whether technology leads to the deskilling of human workers or favors increasing human capabilities.

Some authors praise the bright future developments of artificial intelligence while others warn about mass unemployment. Therefore, it is paramount to present an up-to-date overview of the problem, compare and contrast its features with what happened in past innovation waves and contribute to academic discussion about the pros/cons of current trends.

The main value of this paper is presenting a balanced view of 100+ different studies, the vast majority from the last five years. Reading this paper will allow to quickly grasp the main issues around the thorny topic of artificial intelligence and unemployment.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0338

The current study intends to synthesise the prior studies on employability skills among work-ready professionals in higher education through bibliometric and network visualisation tools. This study also identifies the gaps in the existing literature that still need to be filled and maps the course for future investigation.

The current study examined research papers on employability skills among work-ready professionals in higher education to evaluate global patterns and the top authors, institutions, journals, and nations contributing to this field. The authors analysed eight hundred eighty-five papers from the Scopus database between 1982 and 2023 for the study. Open-source bibliometric tools like Biblioshiny were used in the study to examine the body of literature and to spot new directions for future research.

The study’s findings indicate that since 2008, researchers, academics, and policymakers have paid more attention to employability skills among work-ready professionals, and 2019 is the year seeing the highest no. of publications. Across the globe, 2077 authors contributed to the articles, papers, and journals published in the particular domain. Regarding location, the United Kingdom is the world’s most productive nation, with 342 articles produced. Similarly, Australia, India, and Malaysia are the leading nations that have contributed to the field. Both keywords significantly contribute to scientific knowledge.

The gaps in this study will serve as a reference point for researchers conducting future studies in this field. Additionally, the result of this analysis offers a roadmap for higher education to enhance graduate employability by embedding necessary skills into them.

There has not been a bibliometric analysis concerning employability skills among Work-ready professionals in the existing literature; hence, this article is innovative. This study is the first attempt at integrating the concept. The study also gives an overview of potential directions for future research in this discipline.

Due to the practical complexity and fragmented nature of the construction industry, digitalisation, like other innovations, is not easily achieved. This study aims to explore organisational influences on digitalisation within construction firms.

The study uses structured open-ended questions as a data collection tool for a qualitative investigation. The qualitative approach enabled participants to express their inputs and maximise the diversity of data, offering new insights and discussions that are distinct from previous works.

Construction professionals from 22 organisations provided their perspectives on digital transformation and their organisations. Under four constructs – structure, culture, leadership and internal processes, findings uncovered 16 determinants critical to digitalisation in construction firms. The study offers a theoretical perspective supported by empirical data to explore the complex dynamics and internal interactions of organisational influence on the uptake of digitalisation in the construction industry.

This paper offers arguments from a theoretical lens by applying the organisational influence model and capturing the variables under each construct in an exploratory manner to highlight the reasoning behind the low digital uptake in construction firms. This research aids academia and practice on the pressure points responsible for enhancing, or undermining, digital uptake in construction firms at an organisational level.

Health systems worldwide are hampered by disconnects between governance, management, and operations, which negatively impact on their ability to deliver efficient, effective, and safe healthcare services. This paper shows how insights from the Viable System Model (VSM) can help us to conceptualise health system disconnects impacting specialist clinical services and develop solutions to address organisational fragmentation.

A case study of a specialist clinical service was undertaken, where the VSM was used to guide semi-structured interviews and workshops with clinicians and managers and analysis of findings.

The VSM provides a coherent way to conceptualise the disconnects and identify their structural underpinnings. Three novel organisational pathologies emerged from the study.

This New Zealand-based study was undertaken during the COVID-19 pandemic and a period of major health system reform, introducing uncertainty into service provision that may have impacted stakeholders’ views.

The three novel pathologies affect how health systems define their services, their understanding of the management function, and the importance of coordination. The resulting clarity of functioning could improve service quality, staff and patient satisfaction, and the effectiveness and efficiency of healthcare service delivery.

This study contributes to the VSM literature on organisational pathologies by providing three novel pathologies for a perspective that may be useful beyond healthcare and invites consideration of health system disconnects as a coherent field of study.

This paper aims to explore factors contributing to music popularity using machine learning approaches.

A dataset comprising 204,853 songs from Spotify was used for analysis. The popularity of a song was predicted using predictive machine learning models, with the results showing the superiority of the random forest model across key performance metrics.

The analysis identifies crucial genre and audio features influencing music popularity. Additionally, genre specific analysis reveals that the impact of music features on music popularity varies across different genres.

The findings offer valuable insights for music artists, digital marketers and music platform researchers to understand and focus on the most impactful music features that drive the success of digital music, to devise more targeted marketing strategies and tactics based on popularity predictions, and more effectively capitalize on popular songs in this digital streaming age.

While previous research has explored different factors that may contribute to the popularity of music, this study makes a pioneering effort as the first to consider the intricate interplay between genre and audio features in predicting digital music popularity.

Gender inequality and age discrimination persist in the Higher Education (HE) sectors. The significance of gendered health at middlescence, including peri/menopause, is often negated. This article explores women’s lived experiences of gendered health issues at middlescence in the neoliberal academy through an intersectional lens.

Two female academics engaged in dialogic narrative using duoethnography addressing their experiences of gendered health issues in a UK Higher Education Institution (HEI). They recorded intentional written reflections and met to explore their experiences over a four month period. Thematic analysis was applied to analyse their responses.

Both women considered how they self-advocated for their own care at the stage of middlescence whilst seeking health support and in accessing accommodations in the HE workplace. This process impacted on the construction of their professional identity and on their self-concept as social work academics at the dynamic intersection of age, gender, ethnic, social and professional status.

This article uniquely foregrounds two female academics’ lived experiences of middlescence in a UK HEI conceptualised through an intersectional lens. Their experiences are explored in the context of gendered age discrimination in HE sectors that are perpetuated through masculinized forms of career progression and management. The concept of the ideal academic, a white male, unencumbered by domestic responsibilities, is contested through consideration of care ethics. We acknowledge that forms of epistemic injustice silence women’s narratives in the neoliberal academy but highlight recommendations to enable their stories of gendered health discrimination to be heard.

This literature review aims to portray the thematic landscape of the Pacific Accounting Review (PAR) from 2013 to 2023. This paper also synthesises the special issues in PAR and identifies the main research streams that facilitate contemplating the dialogic interactions between PAR and real-world challenges. Furthermore, this paper aligns these streams with the emerging concerns in Sustainable Development Goals (SDGs) and technological disruptions to propose impactful future directions for publications in PAR.

This review adopts bibliometric analysis to establish the main research streams and objective measures for directing future publications. This paper acquires the data of 310 PAR articles from the Web of Science and ensure the data integrity before the analysis. Based on this technique, this paper also analyses PAR’s productivity, authorship and local and global impacts.

Our bibliometric analysis reveals three key research streams: (1) ESG practices and disclosures, (2) informal institutions in accounting and (3) accounting in transition. This finding affirms PAR’s relevance to real-world accounting challenges. Using a thematic map, this paper portrays the current state of PAR’s topics to identify potential directions for future publications. Further, this paper proposes three future paths for PAR: (1) the research agenda for non-financial reporting, (2) research relating to and from diverse countries considering both formal and informal contemporary contextual factors and (3) the future of the evolving accounting profession.

This study adds value to the existing PAR reviews by extending our knowledge with the latest publications, demonstrating an objective and replicable approach, and offering future directions for PAR publications.

Cyberbullying has become one of the reasons behind the increase in psychological and medical problems. A need to prevent recurrences of cyberbullying incidents and discourage bullies from further bullying the victims has risen. This problem has attracted the attention of all stakeholders across the globe. Various researchers have developed theories and interventions to detect and stop bullying behavior. Previously, researchers focused on helping victims, but as the times have changed, so has the focus of researchers. This study aims to analyze scientific research articles and review papers to understand the development of the knowledge base on the topic.

This study analyzes the performance of literature on cyberbullying perpetration (CBP) using the widely accepted bibliometric analysis techniques: performance analysis and science mapping. The study is based on a dataset extracted from the Web of Science database. Initially, 2,792 articles between 2007 and 2022 were retrieved, which were filtered down to 441. The filter was based on various criteria, but primarily on CBP. VOSViewer and MS Excel were used to analyze the data. In addition, VOSViewer was used to create “bibliometric citations, co-citations, and co-word maps.”

The findings include publication and citation quantum and trends, the top 20 active countries, the most significant research articles and leading journals in this domain. Major themes or clusters identified were “Cyberbullying and victim behavior,” bullying behavior, adolescents and intervention, “cyberbullying associations,” and “cyberbullying personality associations.”

The study is unique because it analyses research articles based on cyberbullies, whereas past studies explored only the victims' side. Further, the present study used the Web of Science database, whereas most studies use the Scopus database.

The authors provide a general framework of behavior under asymmetric information and develop indices of diligence, objectivity and quality by an analyst and analyst firm about a studied firm, and relate them to the accuracy of its forecasts. The authors test the associations of these indices with time.

The test of Public Information versus Non-Public Information Models provides the index of diligence, which equals one minus the p-value of the Hausman Specification Test of Ordinary Least Squares (OLS) versus Two Stage Least Squares (2SLS). The test of Objectivity versus Non-Objectivity Models provides the index of objectivity, which equals the p-value of the Wald Test of zero coefficients versus non-zero coefficients in 2SLS regression of the earnings forecast residual. The exponent of the negative of the standard deviation of the residuals of the analyst forecast regression equation provides the index of analytical quality. Each index asymptotically equals the Bayesian ex post probability, by the analyst and analyst firm about the studied firm, of the relevant behavior.

The authors find that ex post accuracy is a statistically and economically significant increasing function of the product of the indices of diligence, objectivity and quality by the analyst and analyst firm about the studied firm, which asymptotically equals the Bayesian ex post joint probability of diligence, objectivity and quality. The authors find that diligence, objectivity, quality and accuracy did not improve with time.

There has been no previous work done on the systematic and objective characterization and joint analysis of diligence, objectivity and quality of analyst forecasts by an analyst and analyst firm for a studied firm, and their relation with accuracy. This paper puts together the frontiers of various disciplines.