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Personnel Review (PR) is a leading human resource management journal. The article endeavors to provide a retrospective of the journal to commemorate the journal's 50th anniversary.

The article employs a variety of bibliometric analysis techniques such as performance analysis, co-authorship analysis, bibliographic coupling, and negative binomial regression to provide a retrospective of PR.

The performance analysis suggests that PR has grown steadily in PR's publications and citations. Though most of PR's contributions originate from Europe, a geographical shift toward global contributions has been witnessed in recent years. Besides that, a culture of collaboration among PR authors has manifested and proliferated over time. Though a third of European studies are qualitative and more than 90% of Asian studies are quantitative, PR studies, as a whole, are moving away from conceptual and qualitative to empirical and quantitative research. Next, the bibliographic coupling of the PR corpus indicates five major themes—namely, human resource management policies and practices; personnel competency, experience, and well-being; career management and employee engagement; strategic human resource management; and organizational culture and workplace environment. Finally, the negative binomial regression reveals that article age, abstract and article length and number of keywords and references significantly drive PR citations.

The article represents the inaugural retrospective of PR.

This paper aims to analyze the influence of institutional pressures on Indian Food Supply Chain (FSC) actors’ intention to adopt strategies for Sustainable Development Goals (SDGs). By focusing on an agrarian state, this paper explores the prioritizations of SDGs by FSC actors and analyzes the relative impact of institutional pressures in adopting strategies for SDGs.

Quantitative data was collected using questionnaires from 303 respondents engaged in the food industry in an agrarian state in India.

The SDG prioritizations of FSC actors are evidenced using SDG models, thereby suggesting the presence of tradeoffs and synergies within SDGs in FSCs. By using institutional theory, this study defines the impact of sustainability drivers on Indian FSCs, and contrary to previous studies, normative institutional pressures are found not significant – this paper explicates the reasons for this.

Differing stakeholder groups and their prioritizations can result in ranking one SDG over another, thereby resulting in SDG tradeoffs. Such tradeoffs imply that the achievement of one SDG could negate the achievement of another SDG, and therefore, this study explicates the need for a holistic managerial approach to adopting SDGs.

The purpose of this study was to assess the readiness of construction companies in Ghana to partner with foreign companies in international construction joint ventures (ICJVs).

Using the Verify End-User e-Readiness using a Diagnostic Tool (VERDICT) model, a survey with 31 construction companies was conducted to assess their readiness through four pre-defined elements of readiness.

The results indicated the readiness of construction companies to collaborate with potential foreign partners in ICJVs. Notwithstanding, certain areas such as management commitment to change, employee buy-in, process flexibility and technology infrastructure need improvement in some firms to achieve readiness. Government has a role in ensuring the readiness of domestic firms for the international market.

This study applies the VERDICT model, a tool originally designed to assess construction organizations’ readiness for e-commerce, to assess the readiness of Ghanaian construction companies for ICJVs.

Artificial Intelligence (AI) is an emerging technology and turned into a field of knowledge that has been consistently displacing technologies for a change in human life. It is applied in all spheres of life as reflected in the review of the literature section here. As applicable in the field of libraries too, this study scientifically mapped the papers on AAIL and analyze its growth, collaboration network, trending topics, or research hot spots to highlight the challenges and opportunities in adopting AI-based advancements in library systems and processes.

The study was developed with a bibliometric approach, considering a decade, 2012 to 2021 for data extraction from a premier database, Scopus. The steps followed are (1) identification, selection of keywords, and forming the search strategy with the approval of a panel of computer scientists and librarians and (2) design and development of a perfect algorithm to verify these selected keywords in title-abstract-keywords of Scopus (3) Performing data processing in some state-of-the-art bibliometric visualization tools, Biblioshiny R and VOSviewer (4) discussing the findings for practical implications of the study and limitations.

As evident from several papers, not much research has been conducted on AI applications in libraries in comparison to topics like AI applications in cancer, health, medicine, education, and agriculture. As per the Price law, the growth pattern is exponential. The total number of papers relevant to the subject is 1462 (single and multi-authored) contributed by 5400 authors with 0.271 documents per author and around 4 authors per document. Papers occurred mostly in open-access journals. The productive journal is the Journal of Chemical Information and Modelling (NP = 63) while the highly consistent and impactful is the Journal of Machine Learning Research (z-index=63.58 and CPP = 56.17). In the case of authors, J Chen (z-index=28.86 and CPP = 43.75) is the most consistent and impactful author. At the country level, the USA has recorded the highest number of papers positioned at the center of the co-authorship network but at the institutional level, China takes the 1st position. The trending topics of research are machine learning, large dataset, deep learning, high-level languages, etc. The present information system has a high potential to improve if integrated with AI technologies.

The number of scientific papers has increased over time. The evolution of themes like machine learning implicates AI as a broad field of knowledge that converges with other disciplines. The themes like large datasets imply that AI may be applied to analyze and interpret these data and support decision-making in public sector enterprises. Theme named high-level language emerged as a research hotspot which indicated that extensive research has been going on in this area to improve computer systems for facilitating the processing of data with high momentum. These implications are of high strategic worth for policymakers, library stakeholders, researchers and the government as a whole for decision-making.

The analysis of collaboration, prolific authors/journals using consistency factor and CPP, testing the relationship between consistency (z-index) and impact (h-index), using state-of-the-art network visualization and cluster analysis techniques make this study novel and differentiates it from the traditional bibliometric analysis. To the best of the author's knowledge, this work is the first attempt to comprehend the research streams and provide a holistic view of research on the application of AI in libraries. The insights obtained from this analysis are instrumental for both academics and practitioners.

The purpose of this study is to examine the viewpoints and experiences of multiple budget actors to understand their particular budget related behaviours contingent upon the COVID-19 (C19) pandemic of a developing country.

This study uses Uganda as a case study and employs semi-structured interview method for the data collection. In trying to generate themes and patterns, data are analysed through three levels of coding: open, axial and selective coding. The contingency theory is used to interpret the data.

The task of budgeting formulation, implementation and control in times of C19 lead to varied actual behaviours of budget actors because of the environmental uncertainty, inappropriate structural and technological conditions and manipulative organisational cultures contingent upon the Ugandan C19 budget context.

The insights generated from the study can be useful for the national governments of emerging economies, e.g. African countries, to understand the conditions that influence the budget actors' behaviour and together, develop long-term financial resilience strategies to face future emergencies.

This study contributes to accounting and public budgeting theory by showing that contingency theory is a relevant framework for understanding budget actors' behaviour in emergency situations. The study potentially strengthens the contingency theory framework through its incorporation of organisational culture perspective into the “people” element.

The rapidly growing e-commerce industry with its special characteristics brings new challenges to the optimization of the supply chain and inventory management. This study aims to investigate the inventory-related optimization of an e-marketplace official store that works on a business-to-customer system when cashback promotion is used to attract more customers. Also, it proposes a new inventory model to maximize the e-commerce profit by optimizing the cashback amount and delivery period.

The proposed model assumes that customer demand is a function of price and delivery time and that price is affected by the cashback amount. The e-commerce operator has a profit-sharing contract with an e-payment company that facilitates the payment. E-commerce also builds collaboration under a cost-sharing contract with a supplier to ensure product delivery. A mathematical model is developed and the related theories are investigated. A numerical example illustrates the validity of the model and a sensitivity analysis is carried out to give useful insights.

A new inventory model for an e-market system has been introduced which shows the impact of a cashback promotion on the e-commerce business. This study shows that managers can optimize the cashback amount and its delivery time to get the maximum profit. In certain cases, the manager may set a high cashback amount (e.g. 100%) to attract customers to place more orders.

This study presents a new inventory model for today’s fast-growing e-commerce business; therefore, the results contribute to the understanding of promotion program practices and inventory management and provide insights to develop efficient e-commerce managerial decisions.

This study aims to examine the extent to which organizational dissent predicts perception of workplace bullying. As previous studies have reported inconsistent and sometimes contradictory results regarding the interaction between the reporting of bullying and demographic variables, these variables are examined in the New Zealand context. Organizational communication research provides considerable insight into the ways individuals make sense of and resist workplace bullying through juxtaposition with the concepts of dissent and intragroup conflict.

A nationally representative sample of managers in New Zealand (n = 239) was conducted. Surveys included demographic questions and the following measures: Organizational Dissent Scale and Negative Acts Questionnaire Revised Scale.

Key results and indications for further research are highlighted by the third model in this study. First, workers who reported they engaged in either articulated dissent or latent dissent were more likely to perceive workplace bullying. Second, workers who are more likely to express contrary opinions in the workplace are more likely to recognize, acknowledge and tolerate less positive interactions in the workplace such as bullying.

To the best of the authors’ knowledge, this study is the first to analyze dissent and bullying in the New Zealand context. Second, this research raises the question of whether there is a conflation of work-related bullying behaviors and bad leadership styles that may not be targeted (e.g. authoritative leadership and micromanaging). Finally, communication research provides a distinctive contribution by exploring the narrative form of worker responses to perceived bullying. In this manuscript, the authors examine potential predictors on the perception of workplace bullying in the context of New Zealand, particularly focus on the relationship between dissent and the perception of workplace bullying.

This paper aims to identify the relationships among critical success factors (CSFs) for lean six sigma (LSS) implementation in higher education institutions (HEIs).

An extensive literature review was conducted to design the survey instrument, which the authors later administered in Mexican public HEIs to identify the existing relationships among the CSFs and their impact on the benefits obtained from implementing LSS projects. The data were empirically and statistically validated using exploratory and confirmatory factor analysis. Additionally, the authors applied the structural equation modeling (SEM) technique on SPSS Amos to validate the nine hypotheses supporting the research.

The results suggest that the success of LSS projects in HEIs is highly bound to a serious commitment from top management and several interrelated factors.

The main limitations of the study are that the research is cross-sectional in nature and regional in focus. Namely, the data used to validate the structural model were gathered from a small representative subset of the study population – i.e. Mexican public HEIs – and at a specific point in time.

The results reported here represent a reference framework for HEIs worldwide that wish to continuously improve their processes through LSS improvement projects.

This study proposes a statistically validated model using the SEM technique that depicts the relationships among LSS CSFs in HEIs.

While crowdfunding provides a novel method for entrepreneurs and startups to raise funding from consumers, a high percentage of crowdfunding projects fail to achieve their funding goals. This study aims to investigate the impact of early backers on crowdfunding success (i.e. reaching funding goals) by considering their social and geographic peer influences.

The author constructed a social network and a geographic network of crowdfunding backers based on a data set from Kickstarter.com and used closeness centrality to quantify the network positions of early backers.

For project categories with low completion uncertainty, early backers who were socially closer to their peers led to a higher chance of success. However, such an impact declines for projects with higher uncertainty. On the other hand, for project categories with high completion uncertainty, early backers who were geographically closer to their peers led to a higher chance of success. Still, such an impact declines for projects with lower uncertainty.

This paper contributes to the literature by investigating the peer influence between socially and geographically related consumers on a crowdfunding platform. The findings provide managerial implications for crowdfunding project creators to target the right crowd.

Owing to the dramatic rise of FinTech credit in the financial sector, this study describes its knowledge and intellectual structure and paves the way for future research.

The study employs citation analysis, keyword analysis, co-author analysis, co-citation analysis and bibliographic coupling on 268 peer-reviewed articles published during 2010–2021 and extracted from the Web of Science database.

Research on FinTech credit has picked up momentum from 2016, with majority contributions from China, followed by UK and USA. International Journal of Bank Marketing is found to be the most productive journal. Co-citation analysis reveals that past studies have focused on three dominant themes, viz. (a) factors that influence user intention to adopt technological products and services (b) borrowers' and lenders' characteristics that impact fund-raising in FinTech credit platforms and (c) evolution of FinTech market over the years. Bibliographic coupling reveals that recent trends in FinTech credit include (a) impact of emerging technologies like blockchain, artificial intelligence, big data on financial system, (b) factors that encourage consumers to adopt the FinTech products and services, (c) mechanisms by which FinTechs have transformed formal credit markets, (d) factors that lead to successful fundraising in FinTech platforms and (e) critical perspectives on digital lending platforms.

To the best of the authors' knowledge, this is a pioneering study undertaking an exhaustive analysis of FinTech credit as a research area. The study offers valuable insights on potential topics of research in FinTech credit domain like investigating Balance Sheet Lending Model, investigating the impact of FinTechs on financial system, and new markets by collaborating with scholars of other regions.