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How to extract useful information from a very large volume of literature is a great challenge for librarians. Topic modeling technique, which is a machine learning algorithm to uncover latent thematic structures from large collections of documents, is a widespread approach in literature analysis, especially with the rapid growth of academic literature. In this paper, a comparison of topic modeling based literature analysis has been done using full texts and abstracts of articles.

The authors conduct a comparison study of topic modeling on full-text paper and corresponding abstract to assess the influence of the different types of documents been used as input for topic modeling. In particular, the authors use the large volumes of COVID-19 research literature as a case study for topic modeling based literature analysis. The authors illustrate the research topics, research trends and topic similarity of COVID-19 research by using Latent Dirichlet allocation (LDA) and topic visualization method.

The authors found 14 research topics for COVID-19 research. The authors also found that the topic similarity between using full-text paper and corresponding abstract is higher when more documents are analyzed.

First, this study contributes to the literature analysis approach. The comparison study can help us understand the influence of the different types of documents on the results of topic modeling analysis. Second, the authors present an overview of COVID-19 research by summarizing 14 research topics for it. This automated literature analysis can help specialists in the health and medical domain or other people to quickly grasp the structured morphology of the current studies for COVID-19.

Corporate Social Responsibility (CSR) deliberated regarding business firms' actions for doing well to society and natural environment. Specifically, CSR has been about firms contributions towards stakeholder management. As world economy has prospered over the last couple of centuries, business firms have had also increased its footprints in social landscape. In such a scenario, the roles and responsibilities of business firms have expanded in society. Over the years, CSR as a domain of research and literature has developed into a very potent and rich field. Presently, CSR literature as a body of knowledge has become substantial. The authors in this literature review study attempts to conceptually map this complex field of CSR literature.

The objective of this literature review study was to present a visual mapping of intellectual structure of CSR in five-dimensions and to identify the subfields of CSR research concluded by co-citation analysis. All the citation research documents which were listed in the Web of Knowledge (WoK) database between 1998 and 2019 were analysed. Multivariate analysis was undertaken for the literature review. The study conducted a sequence of statistical analyses comprising of factor analysis, multidimensional scaling and cluster analysis.

This literature review research study summarised the contours and status of CSR research by categorizing the CSR literature into five classification factors, namely CSR Drivers CSR, Contextual Grounding of CSR, Historical Legacy of CSR, Strategic CSR and CSR Implementation. Further, based upon the analysis of literature review of extant research in CSR, both the contemporary and imminent CSR-related research themes were also deliberated upon.

The results were helpful for academic scholars of CSR to comprehend both the gamut and focus of CSR literature over the years (between the years 1998 and 2019). The sequence of analyses involved factor, multidimensional scaling and cluster analysis. CSR literature was categorized into five factors namely- CSR Drivers, Contextual Grounding of CSR, Historical Legacy of CSR, Strategic CSR and CSR Implementation.

This study was one of the first set of studies to review the literature on CSR research articles by using citation, co-citation and social network analysis.

Over the past decade, researchers have witnessed an exponential growth in the number of publications on IR. This paper aims to understand the state of the art of the research field and to highlight the areas where further academic research is needed, guiding developments in theory, research, policy and practices.

The authors apply the dynamic literature review method called “Systematic Literature Network Analysis”, which combines systematic literature review and bibliographic network analysis. Furthermore, to overcome some of the limitations connected to the methodology, the authors integrate the literature with a manual content analysis of papers.

IR adoption and practices and their determinants represent the most analyzed aspects of literature. Over time, attention has been paid to more specific issues, such as the relationship between IR and other disclosure mechanisms, IR quality and its assurance, the critical analysis of the IR framework and principles and difficulties in IR adoption. Although the literature on IR can be considered to be in its mature stage, many aspects are still under-researched, so there is plenty of space for future research.

The authors propose the following main issues as subjects to be investigated in future studies: IR is not simply an evolution of sustainability reporting, but an innovative communication tool; the debate on who the recipients of value are (shareholders or stakeholders) and on what the definition of value adopted by IR is still remains an open issue; more attention should be given to the role of IR as a managerial tool, which could support strategy formation and communication, and influence internal processes of performance measurement and evaluation; what the future of IR will be in light of recent EU Corporate Sustainability Reporting Directive and new ISSB's standards is still an open question. From a methodological perspective, little is known about structured approaches in accounting studies. The authors confirm how methodologies, such as that of this paper, may be exploited as a tool to support dynamic analysis for setting the agendas for future studies in the accounting field.

This paper aims to identify the most influential papers/authors, publication outlets and theoretical and empirical research topics of the international new venture (INV) literature.

The authors examine the intellectual structure of the INV literature using bibliometric citation and co-citation analysis. The authors focus on the 100 most cited papers in this research stream published between 1994 and 2015. In the post-hoc reading, they supplement their main bibliometric techniques with the content analysis method to shed light on some issues.

The authors find that the literature has grown significantly over the past two decades, increasing its relevancy in the academic discourse. The findings show the interdisciplinary nature of the INV literature, where we can find different research topics: Definition of INVs, measurements of “newness” and “degree of internationalization” and the characteristics of international entrepreneurs; time dimension in terms of speed of internationalization; international versus domestic new ventures; and the relationships between firm-specific advantages, international strategy and INV performance.

The authors identify the most influential studies and authors in the INV discipline and show its evolution from the very start to the present. They present the key topics in the literature and highlight the theoretical debates and the inconsistencies between theoretical conceptualization and measurements in the empirical work. The authors offer suggestions for promising future research directions and identify the major conceptual framework on which future research can be constructed. Overall, this study contributes to enhance the understanding of the INV phenomenon and provides useful new insights.

Literature on strategic alliances (SAs) is large, diverse and growing. It needs synthesis and analysis for application and further research. Authors have also underlined the need for studies covering differences in structuring, situational application and management of alliances. This systematic literature review aims to cover dyadic, network and ecosystem (DNE) alliances with theory, context, characteristics and methodology (TCCM) methodology covering the life cycle stages of an alliance (pre-formation, formation and management) to uncover insights which inform practice and guide further research on this important subject.

This paper follows systematic literature review (SLR) methodology for research design and article selection and TCCM methodology for analysis. It also analyses the literature on DNE alliances using a nine-box matrix with DNE alliance forming one axis and three alliance lifecycle stages of pre-formation (alliance objectives), formation (alliance design and operationalisation) and post formation (alliance management) stages along the other axis.

Analysis indicates focus on individual firms and their own customer value proposition (CVP) in the dyadic and network alliances. Industries with fast-paced technological change benefit from loosely coupled alliances. Social context and social exchanges leading to collaboration and collective strengths mark network alliances, with a focus on knowledge creation and dissemination. Ecosystems focus on a collective CVP, which guides alliance behaviour. Ecosystem leadership guides this purpose through governance for sustained competitiveness. Negative consequences (dark side) of alliances can be mitigated by careful design, formation and management of DNE alliances.

While literature has focussed on static view of alliances in their industry or social context, this literature review analyses alliances along the dyadic, network and ecosystem typology, thus providing a new lens to study alliances. The review also recognises that alliances evolve over their life-cycle stages and observes their progression through their lifecycle stages aids for fuller comprehension of their behaviour. Areas for future research in structuring, leadership, value co-creation and technological change set an agenda for future research.

Dynamic managerial capabilities are drivers of alliance performance. The analysis using the nine-box matrix allows managers to better appreciate the options that exist and the consequences of their actions. Situating their alliance in the appropriate box can allow managers better plan, operationalise and manage their own alliances.

This systematic review compares and contrasts DNE alliances in extant literature and through their lifecycle stages. Insights from TCCM analysis and the nine-box matrix provide unique contribution to both theory and practice in this large and growing domain.

The purpose of this paper is to examine, and present a comprehensive review of, the existing literature on the international manufacturing network (IMN).

The original data set used for reviewing the IMN literature consisted of 107 articles selected from 21 journals: more specifically, 40 articles are concerned with plant-level analysis, and 67 articles are related to IMN-level analysis. The literature is simultaneously reviewed by two researchers. The relevance and contribution of each reviewed paper is discussed and mutually agreed upon.

The paper highlights the different concepts related to IMN and traces the evolution of IMN-related research. Based on two levels of analysis (i.e. plant and network), this paper further reviews and discusses the IMN-specific literature in detail to determine the number of IMN articles published across the journals, the dominant methodologies employed, and the research focus reflected in IMN studies. A research trajectory is finally developed to provide an integrated and intuitional view on the development of IMN research.

This is the first effort that has been made towards thoroughly investigating the existing literature on IMN, aiming to trace different concepts related to IMN from a historical perspective, to review and discuss the IMN-specific literature in detail, to provide an overview of the evolution trajectory of different existing IMN research themes, and to propose future research directions. Keeping in mind the growing importance of IMN for practitioners as well as the academic community, this study provides a timely overview of existing and emerging IMN research themes.

This systematic literature review analyzes the academic literature to understand SC risk and resilience across different organizational sizes and industries. The academic literature has well discussed the causes of supply chain (SC) risk events, the impact of SC disruptions, and associated plans for SC resilience. However, the literature remains fragmented on the role of two fundamental elements in achieving SC resilience: the firm's size and the firm's industry as firms' contingent factors. Therefore, it is important to investigate and highlight SC resilience differences by size and industry type to establish more resilient firms.

Building upon the contingent resource-based view of the firm, the authors posit that organizational factors such as size and industry sector have important roles in developing organizational resilience capabilities. This systematic literature review and analysis is based on the structural and systematic analysis of high-ranked peer-reviewed journal papers from January 2000 to June 2021 collected through three global scientific databases (i.e. ProQuest, ScienceDirect, and Google Scholar) using relevant keywords.

This systematic literature review of 230 high-quality articles shows that SC risk events can be categorized into demand, supply, organizational, operational, environmental, and network/control risk events. This study suggests that the SC resilience plans developed by startups, small and mdium-sized enterprises (SMEs), and large organizations are not necessarily the same as those of large enterprises. While collaboration and networking and risk management are the most crucial resilience capabilities for all firms, applying lean and quality management principles and utilizing information technology are more crucial for SMEs. For large firms, knowledge management and contingency planning are more important.

This study provides a comprehensive review of the literature on SC resilience plans across different organizational sizes and industries, offering new insights into the nature and dynamics of startups', SMEs', and large enterprises' SC resilience in different industries. The study highlights the need for further investigation of SC risk and resilience for startups, SMEs, and different industries on a more detailed level using empirical data. This study’s findings have important implications for researchers and practitioners and guide the development of effective SC resilience strategies for different types of firms.

The purpose of this paper is to identify and discuss the most important research areas on information sharing in supply chains and related risks, taking into account their evolution over time. This paper sheds light on what is happening today and what the trajectories for the future are, with particular respect to the implications for supply chain management.

The dynamic literature review method called Systematic Literature Network Analysis (SLNA) was adopted. It combines the Systematic Literature Review approach and bibliographic network analyses, and it relies on objective measures and algorithms to perform quantitative literature-based detection of emerging topics.

The focus of the literature seems to be on threats that are internal to the extended supply chain rather than on external attacks, such as viruses, traditionally related to information technology (IT). The main arising risk appears to be the intentional or non-intentional leakage of information. Also, papers analyze the implications for information sharing coming from “soft” factors such as trust and collaboration among supply chain partners. Opportunities are also highlighted and include how information sharing can be leveraged to confront disruptions and increase resilience.

The adopted methodology allows for providing an original perspective on the investigated topic, that is, how information sharing in supply chains and related risks are evolving over time because of the turbulent advances in technology.

Emergent and highly critical risks related to information sharing are highlighted to support the design of supply chain risks strategies. Also, critical areas to the development of “beyond-the-dyad” initiatives to manage information sharing risks emerge. Opportunities coming from information sharing that are less known and exploited by companies are provided.

This paper focuses on the supply chain perspective rather than the traditional IT-based view of information sharing. According to this perspective, this paper provides a dynamic representation of the literature on the investigated topic. This is an important contribution to the topic of information sharing in supply chains is continuously evolving and shaping new supply chain models.

With the continuous development of Internet technology, virtual brand communities (VBCs) have increasingly become essential fronts for enterprises and consumers to carry out professional communication and the leading platform for consumers and other consumers to engage in social and brand discussion. Meanwhile, numerous scholars began to pay attention to VBCs as their research topic. However, there is no systematic understanding of the existing literature on the VBCs research. Therefore, this study aims to provide a comprehensive and systematic review of VBCs research over the past twenty years.

Based on HistCite and CiteSpace software, descriptive statistics and bibliometric analysis were conducted in this study. Specifically, by adopting research cooperation network analysis, co-citation analysis of literature, cluster analysis and co-word analysis, the authors analyzed 1,157 articles on VBCs in the Web of Science database from 2000 to 2020.

This study summarizes the research of VBCs from three aspects. First, the general characteristics of VBCs literature are analyzed. Second, knowledge bases, research contents, theoretical foundations and theoretical contributions of VBCs are dug and integrated into a knowledge framework. Third, the evolution and trend of VBCs research topics are visualized and analyzed in two phases (from 2005 to 2012 and from 2013 to 2020).

This study describes the research status, knowledge structure and famous topics of VBCs research over the past twenty years. Further, the research topics for VBCs have maintained continuity in the last twenty years. Furthermore, the research topics have also been evolving with the development of network technology and changes in the external environment. These results also provide valuable clues about this field's future directions and practical implications.

The purpose of this paper is three pronged. First, to review the existing critical success factors (CSF) literature in the context of supply chain management (SCM). Second, to analyze the occurrence frequency of every possible CSF in SCM literature. Third, to identify the “vital few” and the “useful many” CSF that are harmonized across the SCM field.

A time-specific and term-sensitive literature review technique is undertaken to generate a list of possible CSF in SCM. The review yielded 55 papers, but only 26 empirical CSF papers were selected for analysis as the reliability and validity of the factors had been rigorously tested. Consequently, a Pareto analysis approach was applied to trace the CSF frequency of occurrence in SCM literature. By performing a Pareto analysis, this present study is able to identify and categorize the “vital few” and “useful many” CSF that are consistent throughout various fields of SCM. The review and results are tabulated and a Pareto diagram has been constructed to provide a summary of findings.

Out of the 26 selected empirical papers, 25 potent CSF in SCM literature have been extracted. From the Pareto analysis, nine CSF represent 80.68 percentage of occurrence which is regarded as the “vital few” CSF in SCM. The remaining 16 CSF represent 19.32 percentage of occurrence and is regarded as the “useful many” CSF in SCM. The nine “vital CSF” are immensely important, because in order to achieve supply chain and operation success, one must recognize the few vital factors that are responsible for the larger impact onto the industry compared to the other 16 “useful many” CSF.

The study offers some sense of assistance to SCM managers in highlighting the vital few CSF that matter most, regardless of their nature of SCM fields. Thus, saving their energy, time, and resources in determining the critical pieces of information. For academicians, this study provides a platform for future SCM CSF research and the results could aid researchers in developing the research instrument.

This study is the first attempt to apply Pareto analysis for SCM CSF studies and critically analyzing a wide range of SCM CSF literature. The result could allow supply chain managers to focus on the internal factors, as it could implicate the external factors, and is vital for sustainable supply chain operation, plus, it could stimulate potential researcher opportunities in linking SCM CSF and firm performance.