Rayees Farooq

This study endeavors to provide researchers with a comprehensive, step-by-step methodological guide to conducting rigorous and reproducible bibliometric analysis. It addresses common methodological challenges associated with data collection, analytical technique selection, software application, and the interpretation of bibliometric findings. The study adopts a methodological review approach, drawing on established bibliometric literature to examine the principal stages of the research process. It discusses research question formulation, database selection, search strategy development, data screening and cleaning, performance analysis, science mapping, visualization, and reporting. The study identifies several methodological considerations that are essential for conducting credible bibliometric studies. These include aligning analytical techniques with research objectives, ensuring the quality and consistency of bibliographic data, selecting appropriate normalization and clustering procedures, and interpreting bibliometric networks within their methodological limitations. The study also highlights common analytical pitfalls and practical measures for improving transparency and reproducibility. The paper contributes to the bibliometric literature by presenting bibliometric analysis as an interconnected methodological process rather than a software-driven exercise. By integrating methodological principles, practical guidance, and considerations for interpreting and reporting findings, it provides researchers with a structured guide for conducting bibliometric studies. It also offers reviewers and journal editors a basis for evaluating the methodological rigor of bibliometric research.

Purpose: The study aims to provide a comprehensive data-driven bibliometric analysis on knowledge management grounded in a knowledge-based view of the firm, reflecting a holistic overview of the field’s publication trends, emerging themes, collaboration network and authorship patterns. Design/methodology/approach: To explore the studies focused on knowledge management and KBV, the author performed a search in Scopus using a combination of keywords, including TITLE-ABS-KEY “Knowledge-based view” OR “knowledge-based view” OR KBV OR “resource-based view” OR RBV AND “knowledge management” OR “knowledge sharing” OR “knowledge transfer” OR “knowledge creation” OR “knowledge acquisition” OR “knowledge integration” AND “firm performance” OR “competitive advantage” OR innovation, covering a period of 26 years from 1998 to 2024. The final dataset comprised 561 studies with 222 documents removed during the screening process. Findings: The results indicate that knowledge management research through KBV has advanced from theoretical underpinnings to more empirically driven inquiries. Core themes such as knowledge management, knowledge-based systems, knowledge-based view, innovation, knowledge, resource-based view and knowledge acquisition, indicate the evolving nature of knowledge as a strategic resource. Originality/value: The study conducts one of the first systematic bibliometric analyses that traces the evolution of knowledge management (KM) grounded in the knowledge-based view (KBV). The study contributes to the knowledge management and strategic management literature by analyzing the global trends of scientific publications on knowledge management (KM) and knowledge-based view (KBV) and how knowledge-based view (KBV) has been conceptualized and applied across knowledge management research, in terms of publication trends and influential sources.

Strategic leadership is considered crucial for an organisation’s success, and with the emergence of a knowledge-based economy, exchanging knowledge to align with the firm’s strategic goals is necessary. This research comprehensively examines the intricate relationship between strategic leadership and knowledge-sharing through a data-driven bibliometric analysis. Through SPAR-4-SLR, the authors examined 83 journal publications indexed in the ABDC JQL 2022 from Scopus and Web of Science databases based on keywords from past studies. The findings map the intellectual structure and evolution of the domain. The results unveil key publications, authors, interrelationships, emerging topics, and theoretical contributions, providing a nuanced understanding of global annual publication trends.

Purpose: Despite the growing literature on business model innovation (BMI) and its implications for firm performance, the research on the antecedents of BMI is still at a budding stage. Therefore, the purpose of this paper is to bridge this gap by examining the causal relationships between knowledge management, BMI, competitive advantage, and firm performance. Design/methodology/approach: A purposive sample of 300 micro, small, and medium enterprises was collected with more than 500 employees and total revenue between 50 and 500 million Indian Rupees, according to the Development Act, 2005. The collected data were analyzed using structural equation modeling through smart PLS 3. Findings: The study’s findings show that knowledge management significantly influences BMI. This study also highlights the synergic impact of Knowledge management and BMI on firm performance. Furthermore, findings highlight the mediating role of competitive advantage in the relationship between knowledge management, BMI, and firm performance. Practical implications: Understanding the impact of BMI and knowledge management is crucial for business owners, managers, and other stakeholders to plan for the continuous improvement of their businesses. Managers can secure a favorable position in the competitive market and improve organizational performance by paying attention to effectively managing their knowledge resources. Originality/value: The study is one of the first few empirical efforts to investigate the causal relationships between knowledge management, BMI and firm performance. The study adds to the scant literature in this area by highlighting the mediating role of competitive advantage.

This story narrates the challenges faced by two young women, Amina from Nigeria and Maria from Peru, in accessing digital higher education in the Global South. Despite limited technological infrastructure, lack of digital competence, language barriers, and socio-economic constraints, they overcame these challenges with determination, perseverance, and community support. This story highlights the importance of investing in digital higher education to create opportunities for millions of young people in the Global South.

Purpose: Compared to their counterparts in developed economies, businesses established in emerging economies continuously struggle due to resource and time constraints. Open innovation (OI) allows these firms to bridge the gap and advance towards technological advancements; however, the scholarly knowledge on the subject is not systematized. Thus, this study synthesizes the extant literature, proposes a framework and highlights future research avenues for domain advancements. Design/methodology/approach: Based on the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) framework, the study evaluates 79 journal publications from Scopus and Web of Science (WoS). The bibliometric analysis highlights annual publication trends and research clusters, whereas TCCM analysis provides deep analysis into applied theories, context and characteristics, i.e. OI–performance linkage, barriers, mediators and moderators, followed by employed methodologies in the domain. Findings: The bibliometric results showcase a rising publication trend, significant research clusters and trends, whereas the content analysis via TCCM framework identifies theories, contexts and methodologies employed in the domain. In terms of characteristics, the OI–performance relation and barriers at diverse levels, followed by the moderating and mediating mechanism, are further explained in detail. Originality/value: This is the first study to examine OI and firm performance in the context of emerging economies and employ rigorous frame-based bibliometric and content analysis measures, establishing the foundations for a comprehensive understanding.

Guest editorial: Role of knowledge management in turbulent times - Author: Rayees Farooq, Debasis Dash, Sandeep Vij, Makhmoor Bashir

The purpose of the study is to validate a scale to measure attitudes toward plagiarism. The survey questionnaire was administered to a purposive sample of 300 graduate Ph.D. students from private, state, and central universities. A confirmatory factor analysis (CFA) was used to validate attitudes and subjective norms toward plagiarism. The scale demonstrated good internal consistency, composite reliability, and construct validity. Positive attitudes toward plagiarism, negative attitudes toward plagiarism, and subjective norms demonstrated a high level of convergence among the items thereby supporting the convergent validity of these constructs. The study extends the theory of planned behavior to predict intentions to plagiarize. Positive attitudes, negative attitudes, and subjective norms were related to plagiarism. Positive attitudes toward plagiarism indicate an individual’s tolerance, acceptability, and positive perception toward an unethical task. Negative attitudes condemn plagiarism and the third dimension, subjective norms toward plagiarism, reflect the thinking and the occurrence of plagiarism and the acceptance of such behavior in academic and research settings.

The objective of the study is to develop a data quality matrix, which can be used to measure the quality of data and response rate from respondents. The study is exploratory in nature, which applied the systematic review of literature extracted from different database. The study found that all the quadrants of the matrix (e.g., active, risky, and non-functional and deferential) have importance depending upon the nature of the study. The study further suggests that risky situation can be improved through enhancing the quality of data collected. The proposed matrix is very helpful in understanding the quantity and quality dimensions of the data in survey research. It helps to interpret survey results to fit between data representativeness and desired research outcomes.

The objective of the study is to test the relationship between knowledge management orientation (KMO) and business performance (BP). KMO is a higher-order construct consisting of three second-order constructs: learning orientation (LO), knowledge sharing orientation (KSO), and information technology orientation (ITO). The paper explores the mediating role of market orientation (MO) in the relationship between KMO and BP. In this firm-level study, the personal survey was administered to key informants in 400 listed firms (from manufacturing and service sector) from North Indian States and Union Territories [including Punjab, Haryana, Himachal Pradesh, Jammu and Kashmir, Uttaranchal, Uttar Pradesh, Rajasthan, Chandigarh and National Capital Region (NCR)]. Two respondents each from these 400 firms were approached. The study found that KMO positively affects BP. MO does not mediate the relationship between KMO and BP. Rather, KMO fully mediates the relationship between MO and BP. The study provides evidence in support of KMO as a mediator between MO and BP. KMO of the firm provides a dynamic capability for realizing the benefits of a firm’s MO. The study contributes to the knowledge management literature by empirically validating the KMO, MO and BP constructs.