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The purpose of this paper is to evaluate research trends observed in the International Journal of Logistics Management (IJLM) during its first 20 years of publication.

A content analysis was conducted of the IJLM's first 20 years of publication (330 articles in total) to identify changing trends in subject matter, use of theory, type of research methodology, and author, institution, and country contributions.

IJLM has evolved in every dimension evaluated. Specifically, content follows macro‐economic world events and reflects the emergence of supply chain management as an interdisciplinary domain. Recent research demonstrates a greater emphasis on theory development as well as more rigorous methods. Importantly, the increased theoretical grounding and rigor provides greater confidence in research that continues to be highly managerially relevant. Author, institution, and country findings are also discussed.

The study is limited to an analysis of IJLM's publications.

The research provides valuable insights into the evolution of articles published in IJLM. For managers, the findings suggest that readers can place greater confidence in the findings and recommendations proposed by current research published in IJLM. For researchers, the findings provide guidance regarding the types of research that are likely to be accepted for publication in IJLM. The findings also represent a call for more forward‐looking research.

The comprehensive review of IJLM's publications provides a longitudinal perspective on the evolution of research in IJLM.

The purpose of this paper was to map the safety management research of construction industry by scientometric analysis, which can predict important highlights and future research directions of safety management research in the construction industry. As an important issue in the construction industry, safety management issues have been researched from different perspectives. Although previous studies make knowledge contributions to the safety management research of construction industry, there are still huge obstacles to distinguish the comprehensive knowledge map of safety management research in the construction industry.

This study applies three scientometric analysis methods, collaboration network analysis, co-occurrence network analysis and cocitation network analysis, to the safety management research of construction industry. 5,406 articles were retrieved from the core collection database of the Web of Science. CiteSpace was used for constructing a comprehensive analysis framework to analyze and visualize the safety management research of construction industry. According to integrating the analysis results, a knowledge map for the safety management research of construction industry can be constructed.

The analysis results revealed the academic communities, key research topics and knowledge body of safety management research in the construction industry. The evolution paths of safety management research in the construction industry were divided into three development stages: “construction safety management”, “multi-objective safety management” and “comprehensive safety management”. Five research directions were predicted on the future safety management research of construction industry, including (1) comprehensive assessment indicators system; (2) intelligent safety management; (3) cross-organization collaboration of safety management; (4) multilevel safety behavior perception and (5) comparative analysis of safety climate.

The findings can reveal the overall status of safety management research in the construction industry and represent a high-quality knowledge body of safety management research in the construction industry that accurately reflects the comprehensive knowledge map on the safety management research of construction industry. The findings also predict important highlights and future research directions of safety management research in the construction industry, which will help researchers in the safety management research of construction industry for future collaboration and work.

The paper aims to present the development of conceptualization of coronavirus disease 2019 (COVID-19) based on associations with other articles on English edition of Wikipedia. The main goal of the paper is to study the social organization of knowledge about COVID-19 within the Wikipedia community of practice.

The methodological approach taken in this study was based on the application of Moscovici's theory of social representations to Wikipedia's knowledge organization system (KOS). Internal links in the Wikipedia article about COVID-19 were considered anchors in its social representations. Each link in the introductory part of the article was considered an indicator of the semantic relationship between COVID-19 and other concepts from Wikipedia's knowledge base. The subject of this study was links extracted from all revisions of the COVID-19 article between February and September 2020. Qualitative and quantitative analyses were performed on these conceptual structures using both synchronic and diachronic approaches.

It was found that the evolution of anchors in the Wikipedia article on COVID-19 was in line with the mechanism of symbolic coping related to infectious disease. It went through stages of divergence, convergence and normalization. It shows that this mechanism governs the social organization of knowledge related to COVID-19 on Wikipedia.

No studies have been devoted to the image of COVID-19 as presented by the evolution of links in Wikipedia and its implications for knowledge organization (KO).

Research with stem cells is a biomedical venture with great scientific impact, and whose development flows over into many other areas. This article aims to present a dual analysis of Spain's scientific output in this field during the period 1997‐2007.

The authors used bibliometric indicators of a basic nature as well as techniques for the visualization and analysis of networks of scientific information based on a study of KeyWords Plus.

The output is mainly concentrated in Cataluña and Madrid, and hospitals are the most productive centres (followed by health institutes), where the main authors are affiliated. Main categories are hematology, oncology and biophysics. The outstanding areas of study revolve around the therapeutic use of transplant of hematopoietic progenitors, the processes of generation, proliferation and differentiation of lines of cells, and the study of neurosciences.

This study provides an overview of Spanish research involving stem cells, detecting and representing the main areas of research. The article considers the potential of KeyWords Plus in combination with the proposed methodology as particularly useful for the analysis and delimitation of a scientific domain.

The purpose of this paper is to examine and reinterpret information ecology in the context of the changing environment of services, which has been strongly affected by digitalisation and increasing citizen engagement. Here, information ecology refers to the interaction and co-evolution of technologies, human beings and the social environment.

The data consist of 25 thematic interviews conducted in a public Finnish organisation responsible for organising welfare services, and in its collaborating organisations. The interviews were analysed qualitatively. The analytical framework is based on Nardi and O'Day's five components of information ecology: system, diversity, co-evolution, keystone species and locality.

The analysis shows that these basic components still exist in the digitalisation era, but that they should be interpreted and highlighted differently, for example, stressing the openness of the information system instead of closed systems, as well as emphasising the increasing meaning of diversity amongst digitalisation, and the dynamic co-evolution between the elements of the system. New capabilities, such as the ability to combine various kinds of information and knowledge, are needed in this adaptation.

The study illustrates a wider, updated information-ecology concept with the help of empirical research. Technology affects care organisations' information ecologies in numerous – often invisible – ways, which this study brings into light.

So far, information-ecology research has overlooked social and healthcare, but this study provides findings concerning this societally important sector.

As a supply chain management initiative, category management has to date been the almost exclusive preserve of the grocery sector and, within that sector, limited to food categories. This paper proposes that the fashion industry might usefully follow the grocery industry's lead and implement category management. A comprehensive review of the literature on category management highlights the opportunity for fashion marketing to consider the potential of category management, and the specific research gaps. In operationalising the subsequent research objectives, the paper reports the results of exploratory, in‐depth consumer research for a particular category of intimate apparel. The managerial implications of these findings are then discussed in the context of the established eight‐step category management process. The overall tentative conclusion of this study is that as a consumer‐oriented joint planning tool, category management offers retailer‐supplier partnerships in the fashion industry an important adjunct to the industry's quick response methods. The paper closes with an agenda for future research.

The authors demonstrate the usage of data visualization for conveying educational administration research, with a specific focus on differential principal turnover. They model when and how principals move, over time, between six categories of turnover.

The authors construct several easy-to-interpret alluvial diagrams that reveal the patterns of differential turnover among 1,113 first-time Texas principals. Furthermore, the authors investigate how these patterns differ across educator characteristics (i.e. race and sex) and school contexts (i.e. school level and campus urbanicity).

Half of all first-time principals turn over within two years. Most principals who stay in leadership roles leave the district where they were first entered the principalship. Men are promoted more and women turn over less. In a connected finding, the authors conclude that elementary principals turn over less, and middle and high school principals are promoted more often. Principals of color are demoted more often than White principals. Urban school principals exit the system at a greater rate than rural principals.

The significance of this study lies in its direct response to two problems facing the administrator turnover knowledge base – a lack of methodological accessibility and the underutilization of data visualization. The authors’ is the first study to contain visualization of differential turnover outcomes over time. Second, the authors’ study provides a blueprint for data visualization that not only creates new knowledge but also speaks to a wider variety of education stakeholders by presenting complex data in a visual format.

This study aims to examine the evolution of category killers or big‐box retailers over a 17‐year time span and the impact that this retail format has had on seven retail sectors, sales revenue, and per capita retail consumption in the USA.

Sales revenue, average store size and per capita income were examined over a 17‐year period – 1988‐2004 – for the book, sporting goods, home center, electronic, toy, home furnishings and the grocery sector (warehouse stores) to determine the effect of large retail formats on sales revenue and per capita spending.

This longitudinal study demonstrates that evolving to big‐box formats had a positive impact on both sales revenue and per capita spending in each of the retail sectors.

It is a starting‐point for fully understanding the impact of large retail formats on the retail industry.

The evolution of large format retailers has not been studied from a macro view. Most studies have focused on their impact on small markets. This study focuses on the overall trend and examines their impact on the industry and per capita spending.

This paper sets out to critique the applicability of e‐commerce staged models in explaining the progression of small and medium‐sized businesses (SMEs) in their use of internet technologies. The premise of this study is that examining the evolution of web sites over time gives us insights into actual evolving strategies and motivations behind internet investments.

An alternative multidimensional framework is proposed that combines three different dimensions of organizational change (process, content, and drivers). The content or categories of the dimensions are defined and justified. A study of 192 web sites and their evolution is described. This helps to demonstrate the relevance and applicability of the dimensions of the framework.

The study describes the different approaches (monitoring, content analysis and case studies) and the characteristics of changes on these web sites. It was found that the main evolution strategies were “content updates” and “dormant sites”. In addition, the majority of companies seem to have evolved their web sites to refresh the image and change navigation protocols and not to add transactional e‐commerce features.

The proposed framework is argued to be useful to academics, providing multiple perspectives, enabling more insightful study of SMEs' e‐business adoption and progression, and avoiding over‐simple a priori theory, e.g. staged models. The framework is also argued to be useful for SME managers seeking to make the most of their limited resources in this context.

The paper provides a multidimensional framework which is new and comprehensive. It also provides some research findings using the framework relating to a pilot study of 192 SME web sites. Little prior research has been carried out on the evolution of SMEs' web sites, in terms of the type of drivers, the features that have been incorporated over time, and how they have changed.

The purpose of this paper is to understand the intra‐ and inter‐category differences of the store brand market share. Strategic, structural and performance factors are considered to be explanatory.

The paper proposes four possible alternative fixed‐effects panel models for the data. The empirical analysis is performed on the Spanish consumer goods market in 50 traditional categories during the period from 1996 to 2000, when these brands consolidated their position as the best choices on the shelves.

The paper obtains consistent results for the four models proposed. The analysis of these reveal which strategic, structural and performance factors influence the store brand market share and how they influence it at intra‐ and inter‐category levels.

The main limitations of this research derive from the conditioning factors of the information. Some potential explanatory variables could not be considered in the models or could only be considered to explain the inter‐category differences.

The results obtained have interesting implications for manufacturers and retailers in the management of the brands in their product portfolio and in the management of their relationships in the distribution channel.

This research provides integrated modelling of the store brand market share by jointly considering cross‐sectional and time effects using the panel methodology and proves that considering time avoids some counter‐intuitive results of cross‐sectional research.