Search results

The purpose of this paper is to explore the extent of the continuing influence on project management (PM) research directions of rethinking project management over the last ten years.

The authors chose a qualitative research approach that involved reading all papers published in the International Journal of Managing Project in Business since its commencement in 2008. Content analysis was performed on these papers to allow axial coding of key article content influence themes.

The research identified the strength, over time, of the three research interest clusters on the PM research agenda and resultant changes in the PM paradigm. The five directions put forward by the rethinking PM agenda and other researchers ten years ago have continued to influence the PM research agenda.

Findings provide a better understanding the changes in PM research directions since rethinking PM, the increased breadth and sophistication of PM research in general, and future research directions.

This paper aims to conduct a tertiary review to analyse the state of the art of literature reviews on knowledge management (KM) published in academic journals and provide an overview of their evolution. From 2000 to 2022, about 500 reviews have been published in the KM field, with most systematic studies compared to bibliometric or meta-analytic studies, and an absence of previous tertiary studies. Therefore, given the lack of previous tertiary research, this paper provides a complete picture of the evolution of review topics in the past and presents implications for both researchers and practitioners.

A classification scheme was defined to cluster and evaluate the literature reviews, both in terms of methodological approach and content. Regarding the content, the various secondary papers were classified according to the purpose of the research (state of the art, taxonomy, research agenda and research framework), the unit of analysis (small and medium enterprise, large company, start-up and university), the KM models adopted and the thematic areas addressed. Furthermore, a tertiary review methodology was identified integrating two main approaches: a bibliometric approach for cluster identification and a systematic approach for the discussion.

Two categories of contributions emerge from the results: those concerning research topics that have found a continuous interest over time and those that have not yet found a constant research interest. This latter aspect is relevant to help researchers conduct future literature analysis in KM research to bridge existing research gaps.

This paper provides a unique compendium of search directions to offer a comprehensive overview of the scientific debate about KM. This overview can also be used as a managerial panacea to identify best KM practice guidelines from existing reviews.

This is a unique attempt to conduct a tertiary study on KM for more than two decades by providing insights into the structural body of knowledge through academic progress in the subject of KM. Thus, this study expands the field of KM and provides original approaches for research in the field.

The purpose of this study is to investigate the internationalization of international new ventures (INVs). Specifically, this research explores the ways in which a formal cluster can facilitate the internationalization process of these firms.

The authors studied how four INVs benefitted from the actions of two clusters in France – Systematic and Mov’eo – as they internationalized. They conducted semi-structured interviews with the CEOs and other representatives of the INVs and with the members of the cluster management teams.

The findings indicate that clusters can facilitate the internationalization of INVs by providing resources, networking opportunities and legitimacy to help them reach global markets and by increasing the speed of internationalization.

By analyzing the specific role that a formal cluster plays in the internationalization of INVs, this research contributes to the literature examining the link between location and INV internationalization. The authors argue that the cluster’s role can be considered as that of an intermediary organization helping INVs to expand globally.

This paper conducts a Systematic Literature Review (SLR) of Machine Learning (ML) in Supply Chain Management through bibliometric and network analysis, the authors are able to grasp key features of the contemporary literature. The study makes use of state-of-the-art analytical framework based on a unified approach to reveal insights from the present body of knowledge and the potentials for future research developments.

Unlike standard literature reviews, in SLR, a structured approach is followed. The approach enables utilizing contemporary tools and software packages such as R-package “bibliometrix” and Gephi for exploratory and visual analytics. A number of clustering methods are employed to form clusters. Later, multivariate analysis methodologies are adopted to determine the dominant clusters for the influential co-cited references.

Using contemporary tools from Bibliometric Analysis (BA), the authors identify in an exploratory analysis, the influential authors, sources, regions, affiliations and papers. In addition, the use of network analysis tools reveals research clusters, topological analysis, key research topics, interrelation and authors’ collaboration along with their patterns. Finally, the optimum number of clusters computed for cluster analysis is decided using a systematic procedure based on multivariate analysis such as k-means and factor analysis.

Modern-day supply chains increasingly depend on developing superior insights from large amounts of data available from diverse sources in unstructured and semi-structured formats. In order to maintain a competitive edge, the supply chains need to perform speedy analysis of big data using efficient tools that provide real-time decision-making insights. Such an analysis necessitates automated processing using intelligent ML algorithms. Through a BA followed by a detailed data visualization in a network analysis enabled grasping key features of the contemporary literature. The analysis is based on 155 documents from the period 2008 to 2018 selected using a systematic selection procedure.

Semi‐structured, in‐depth interviews were used to explore the influence of personality, discipline and organisational structure on the information behaviour of biochemists, entomologists and statisticians working at an agricultural research station (n = 67). Cluster analysis was used to reveal groupings in the data. Library and document‐based activities did not differentiate individuals. Computer use, both for scientific work and information handling, and the degree of enthusiasm displayed for actively seeking information divided the population. Discipline, work role and time spent in the subject field and organisation were the most important determinants of information behaviour. There were some indications of male/female differences in information behaviour. A comparison of the groups obtained from the cluster analysis with a subjective classification showed the former to be more robust in later analysis.

Content‐analyses the academic entries in the WHATT‐CD International Hospitality and Tourism Research Register using four broad categories ‐ general management issues hospitality, tourism, and current or “hot” research issues. Identifies clusters of research interest within these categories and identifies “gaps” in the form of relatively unexplored research topic areas.

Brings up and examines the concept of a business school as a learning organization. Discusses the issue of change as a stimulus to learning ‐ as businesses face new challenges, so, therefore, do business schools ‐ hence the necessity to become a learning organization. Proposes the idea of the faculty member as the learner, as well as the integration of various modes of organizational learning: faculty group discipline‐based learning, cross‐disciplinary programme‐based learning, and learning via a “partnership” with a major customer organization. Illustrates a working model for organizational learning comprising learning from research activities, workshops/ “discovery events”, open teaching programmes as well as in‐company tailored programmes. The total of this ‐ when aggregated as it relates to all the major learning partnerships the school is involved in ‐ leads to acquisition of knowledge by the faculty and the business school becomes a deliberate organizational learner. Concludes with emphasis on partnerships with multinational cutting‐edge firms as the key to the most relevant real‐life organizational learning.

The purpose of this paper is to investigate the use of television (TV) content for scholarly purposes. It focuses on: profile of scholars using TV content; the structure of their need for TV content; the situations in which scholars need TV content; and their patterns of use of TV content in each research stage.

Taylor’s four components of the information use environment has contributed to the development of a conceptual framework. The data from the use of TV content by 668 scholars were profiled using correspondence analysis and co-word analysis. Additionally, the data from 15 interviews and content from 240 journal articles were analysed.

The authors determined that the environment of the scholarly use of TV content is unique in terms of the scholars’ academic domains, research topics, motivation, and patterns of use. Six academic domains were identified as having used TV content to a meaningful degree, and their knowledge structure was presented as a map depicting the scholars’ needs for TV content. Scholars are likely to use TV content when they deal with timely social and cultural topics, or human behaviour. The scholars also showed different patterns of use of TV content at each stage of research.

In this study, TV content was newly examined from the perspective of an information source for scholarly purposes, and it was found to be a meaningful source in several domains. This result extends the knowledge of information sources in scholarly communication and information services.

This concluding paper filters out meaningful marketing strategies that could be used to re-position and re-establish tourism destinations struggling with negative image. Drawing from a collection of case studies around the world, this paper aims to provide evidence from post-colonial, post-conflict and post-disaster destinations to anchor the overall conclusion of the theme issue.

This paper summarizes key issues faced by destinations plagued with a negative image and identifies adaptive marketing strategies based on existing marketing theories and success stories from struggling destinations.

Destinations with a negative image are mostly post-colonial, post-conflict or post disaster destinations (or all of the three combined), and despite their poor (if no) marketing strategies, they continue to struggle to find their share in the tourism market. This paper highlights four main challenges of such destinations and proposes that adaptive marketing strategies can turn the situation of struggling destinations to a situation of emerging destinations. Marketing strategies that are cited in this theme are based on empirical evidence and they are communication strategy, differentiation and promotion of responsible and health tourism, heritage tourism, cluster tourism and the involvement of destination marketing organisations.

This paper takes a somewhat different approach and proposes adaptive marketing strategies for struggling destinations. These are based on the notion that the consequences of not addressing negative image also impacts on established destinations that have to cope with increased capacity. The value of this paper is that it draws from empirical evidence, each unique in their own right and re-establishes how post-colonial, post-conflict and post-disaster destinations could improve while highlighting their potential and limiting factors.

Using social learning theory and the model of innovation diffusion, this study aims to provide reflections on how new information and knowledge can be shared and adopted by farmers in collectivist rural areas.

Firstly, the researcher selected 76 farmers from four rural villages in Perak, Malaysia, and, using semi-structured, probing interviews, explored the underlying factors that contribute to information and knowledge transfer. Secondly, the researcher analysed 452 questionnaires to validate the qualitative interview findings. Thirdly, the researcher analysed 487 questionnaires after nine months to determine whether differences had occurred in knowledge acceptance and adoption.

Social learning and local integration play prevalent roles in information and knowledge spread among individuals. However, the data also suggest that care must be taken to ensure that the knowledge spread does not jeopardise the prevailing collective structure; rather, it must begin with innovators who show evidence of improved yield.

The findings suggest strategies for researchers and practitioners to transfer knowledge to farming communities using innovators and the social learning process.

Members of a collectivist society often find it difficult to deviate from the norm; therefore, understanding how local integration, sequencing of information and knowledge spread can be accomplished through proper protocols and ethics is important.

While prior research has produced insights into knowledge management among individuals, the field still lacks a comprehensive understanding of the germinal stages of how individuals initiate norm-breaking behaviour while continuing to adhere to societal norms.