13 research outputs found

    Research Topics and Collaboration in Human Resource Development Review 2012–2021: A Bibliometrics Approach

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    In celebrating HRDR’s 20 years of publication, this study aims to shed light on research trends in the journal and future research needs by examining 10 years of publications from a structural perspective. We used three complementary computational methods to find major research trends and themes including keyword network analysis, topic modeling, and bibliographic coupling. This paper presents the findings on the research themes, structural coherence, and semantic relevance based on clusters formed by normalized distance measures. Connectivity, co-appearances, and citations are important forms of scholarly communication that represent the body of knowledge in the field. Our findings indicate that research topics greatly expanded beyond the early HRD research topics of learning and development to include various topics related to diversity, critical HRD, and equity issues in organizations and society. We also examined the author-institution-keywords affiliation network and the authors-collaboration network to suggest how scholars can collaborate more in the future

    People Analytics and Human Resource Development – Research Landscape and Future Needs Based on Bibliometrics and Scoping Review

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    This study provides a comprehensive examination of the current research landscape of People Analytics (PA) from Human Resource Development (HRD) perspectives. By leveraging the methodologies of bibliometrics and topic modeling, the paper aims to illuminate key trends and emerging themes. By conducting a comparative analysis of topics and grouped themes from topic modeling and clusters from bibliocoupling, the study reveals a convergence in research focuses. This convergence is particularly evident in areas such as workforce planning and management, data-informed decision-making, applying analytics to various HR functions, and emphasizing the ethical and societal implications of data analytics in HR. The paper also identifies gaps and future research needs for HRD research in the current PA landscape and discusses fertile grounds for future research

    International Students’ Psychological Capital in Japan: Moderated Mediation of Adjustment and Engagement

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    This study examined how positive psychological capital (PsyCap) of international students is linked to their engagement and organizational citizenship behaviors (OCBs) in the Japanese higher education context. We also explored the mediation effect of engagement between PsyCap and OCBs, and the moderating effect of cultural adjustment on the mediation relationship. The results show that PsyCap is significantly related to OCBs, which is mediated by engagement. The moderation effect of cultural adjustment is also significant

    Investor activity in Chinese financial institutions : a precursor to economic sustainability

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    One requirement for sustainable economic development is established, trusted, and utilized financial institutions to facilitate investment. The rapid development of financial markets in China, combined with the recency and magnitude of middle-class wealth, has resulted in a rapidly changing investment landscape, as well as changes in people’s investing activities. The extent to which economic growth is sustainable will depend, at least in part, on how financial institutions are perceived, as well as the extent to which they are utilized. The objective of this study was to examine the investment behaviors of individual investors as a way to ascertain the perceived level of trust and stability in the relatively recently developed financial institutions. The influence of market information acquisition on asset allocation and value investment in China was analyzed. This study used secondary data from a China securities corporation from previous research. The analyses utilized the general decision-making style test to assess respondents’ decision-making models and quantitative research methodology culminating in the use of correlation analysis. The results indicated that the acquisition of market information had a positive correlation with the number of assets and investment portfolios. Practical implications and suggestions for future research are provided. The results may be of interest to individual and institutional investors in China, as well as those with an interest in current trends in market information acquisition, asset allocation, and value investment in China

    Supply chain sustainability during COVID-19 : last mile food delivery in China

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    The COVID-19 pandemic triggered a strict 100-day lockdown period in Spring of 2020 in China. One of the consequences of the lockdown was the disruption of the food supply chain for the millions of people confined to their homes. The well-established online food delivery service (OFDS) in China were disrupted by pressure to scale up rapidly to resolve the last mile of food delivery. The importance of the OFDS during periods of crises became apparent, as did the realization that uninterrupted food distribution was only possible due to the presence and scalability of the existing delivery network. Focusing on the importance of an established OFDS as a foundation for food distribution, this paper seeks to explore factors that affect consumers’ perception and acceptance of the retail food delivery system in urban China. By applying the extended theory of planned behavior (TPB), mean value calculation, univariate linear regression, and multiple linear regression have been adopted to test the hypotheses. Data obtained online from 260 participants demonstrate that the software’s characteristics concerning hedonic motivation (HM), convenience motivation (CM), perceived ease of use (PEOU), navigational design (ND), information quality (IQ), privacy and security (PS), restaurant credibility (RC), and perceived severity (Psev) have positive and significant impacts on customers’ intention to use (ITU), and thus, affects the actual use (AU) of the application in a positive way. The findings of this research contribute to the existing literature by consolidating, validating, and extending the TPB model, especially under the large-scale public health crisis circumstances. Customized practical insights are provided to emphasize developing HM, CM, Psev, and RC factors with maximal marginal effects that promote consumer acceptance; this is a prerequisite to the development of a robust OFDS. which can be repurposed during periods of crises to provide sustainable last-mile food delivery networks

    An exploration of text mining of narrative reports of injury incidents to assess risk

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    A topic model was explored using unsupervised machine learning to summarized free-text narrative reports of 77,215 injuries that occurred in coal mines in the USA between 2000 and 2015. Latent Dirichlet Allocation modeling processes identified six topics from the free-text data. One topic, a theme describing primarily injury incidents resulting in strains and sprains of musculoskeletal systems, revealed differences in topic emphasis by the location of the mine property at which injuries occurred, the degree of injury, and the year of injury occurrence. Text narratives clustered around this topic refer most frequently to surface or other locations rather than underground locations that resulted in disability and that, also, increased secularly over time. The modeling success enjoyed in this exploratory effort suggests that additional topic mining of these injury text narratives is justified, especially using a broad set of covariates to explain variations in topic emphasis and for comparison of surface mining injuries with injuries occurring during site preparation for construction

    Looking into the labyrinth of gender inequality: women physicians in academic medicine

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    Context Gender inequality remains prevalent worldwide in academic medicine. A closer look into women physicians’ gendered experiences through the lens of culture is necessary to advance understanding of gender inequality in this context. Relatively few studies, however, have investigated how social and cultural practices implicitly yet significantly affect gender inequality throughout women physicians’ careers. Objectives This study aimed to investigate the lived experiences of South Korean women physicians working in academic medicine and to focus on social and cultural influences on the gendered process of their career journeys. The study will extend our understanding of gender inequality in academic medicine through an in‐depth analysis of social and cultural practices that affect the phenomenon. Methods We conducted a qualitative study utilising a grounded theory approach. Twenty‐one women physicians participated in semi‐structured interviews. Data were recorded, transcribed and analysed through a process of constant comparison using grounded theory to extract themes. Results Junior women physicians were more vulnerable to gender discrimination and channelled to ‘ghettos’ through the seniority‐based, patriarchal, collectivist and business hospital culture in South Korea. Under pressure to excel at work, they had no work–family balance and experienced identity crises as competent doctors and mothers. They felt themselves to be ‘othered’ in multiple cultural contexts, including school ties, rankism and a culture of after‐work gatherings. Minimal levels of leadership aspiration created a vicious cycle of a lack of social networking and mentoring. Pursuing individual excellence, they attributed their struggles to personal choices and rarely sought organisational support. Conclusions The dynamics of cultural and social practices constantly and implicitly recreate mechanisms to maintain gender inequality in academic medicine in South Korea. Planned culture changes at individual, organisational and national levels are imperative to discontinue the vicious cycle that exists in the labyrinth of women physicians’ career development in academic medicine

    Severity of U.S. Construction Worker Injuries, 2015-2017

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    Workers in the U.S. construction industry experience workplace hazards that can lead to work-related injuries that sometimes are fatal. Reported in this paper is a case-control study of risks factors associated with 4,845 injured workers and their work environments that led to fatal rather than nonfatal injuries during 2015-2017. These injury data originally were assembled from information collected by the U.S. Bureau of Labor Statistics that were used in a machine learning competition, but were repurposed for this secondary analysis of injury risks. Sixty-one percent of workers recorded in this dataset were injured fatally. Multiple logistic regression was applied to model the probability of a fatal injury as a function of the nature of the injury, part of body injured, human factors involved, whether the injured worker was carrying out a regularly assigned task at the time of the injury, and the manner in which the injury was inflicted. Related positively, relative to benchmarks, to the probability of a fatality injury were: falls and strikes; electrocution; asphyxiation and drowning; injury to the head and neck; and working at a task not regularly assigned. Negatively related to the probability of a fatal injury were: chemical/temperature burns; amputation and crushing; fractures and dislocations; injuries to fingers, hands, wrists, and other extremities; and falls from an elevation or to the same level, although this last negative relationship is anomalous in the light of independent research findings. Findings of this study do not necessarily culpable causes of work-related death. Rather these findings identify risk factors that might prove fruitful for further analysis of the incidence, severity, and costs of construction injuries
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