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This study aims to test the relationship between feedback-seeking behavior (FSB) and knowledge sharing. The study also proposes the moderating role of gender in the relationship between FSB and knowledge sharing. In this study, the author draws on the social exchange theory to propose FSB as a driver of knowledge sharing. Ultimately, the study seeks to contribute to a better understanding of the role that FSB plays in triggering knowledge sharing and the ways in which gender can influence this dynamic.

A survey was conducted with 290 knowledge workers from the manufacturing and service sectors of India. FSB and knowledge sharing were assessed with a purposive sample (n = 290). The hypotheses were tested using confirmatory factor analysis (CFA), structural equation modeling (SEM) and multi-group moderation analysis.

The study found that FSB is positively related to knowledge sharing and gender moderates the relationship between FSB and knowledge sharing.

This study adds to the literature by investigating the potential interplay between FSB, knowledge sharing and gender. By uncovering the ways in which gender differences can impact FSB and knowledge sharing, this study provides valuable insights for organizations seeking to promote knowledge sharing and improve communication and collaboration among employees.

Knowledge management is a function of learning orientation, knowledge sharing, organizational memory and knowledge reuse. This paper aims to endeavor to explore a link between knowledge management and value creation which seem to be fragmented in the literature due to various conceptualizations and meanings. The study hypothesized a moderating role of social capital on the relationship between knowledge management and value creation.

The study was approached from the theoretical perspective. Study thoroughly reviews and analyzes the literature by developing a link between knowledge management and value creation. The studies were explored from selected databases including “Google scholar”, “Emerald” and “ProQuest” using the keyword search, namely, “Knowledge Sharing”, “Learning Orientation”, “Organizational Memory”, “Knowledge Re-use”, “Knowledge Management”, “Knowledge-based View”, “Competitive Advantage”, “Value Creation” and “Social Capital” to reduce the interpretation bias.

Knowledge management is an important predictor of value creation which can be strengthened by developing strong interpersonal relationships with all stakeholders. Organizations can create competitive advantage by managing social capital through knowledge management processes including learning orientation, knowledge sharing, organizational memory and knowledge reuse.

The study is based on a theoretical model and an apparent limitation is the non-existence here of contributions and discussions that have been based on empirical data. Future study may use other moderating and mediating variables such as industry type, market orientation, human capital and organizational climate to know whether knowledge management directly affects the value creation or indirectly through these variables. The hypotheses emerged from the model can be operationalized by generating the items from the review of the literature.

The study contributes to the knowledge management literature by developing a theoretical model of knowledge management based on underlying dimensions of learning orientation, knowledge sharing, organizational memory and knowledge re-use.

This study aims to test the relationship between work from home (WFH) and employee productivity during the COVID-19 pandemic. This study also examines the moderating role of gender in the relationship between WFH and employee productivity.

A sample of 250 respondents from hospitality, banking and information technology was taken from the National Capital Region and Punjab State of India. The hypotheses were tested using structural equation modeling and multi-group moderation analysis.

The findings provide support for the negative relationship between WFH and employee productivity. This study also provides empirical evidence that gender moderates the relationship between WFH and employee productivity.

This study is the first of its kind to test the relationship between WFH and employee productivity during the COVID-19 pandemic. This study contributes to the organizational behavior literature by providing empirical support to the organizational adaptation theory.

This study aims to investigate the effect of leader-leader exchange (LLX) on knowledge sharing through feedback-seeking behavior. The study also explores the moderating role of power distance.

A cross-sectional data of 290 knowledge workers from manufacturing and service firms in India were taken as a sample of the study. The hypotheses were tested using confirmatory factor analysis, structural equation modeling and hierarchical regression.

The results showed that LLX positively affects knowledge sharing and feedback-seeking behavior mediates the relationship between LLX and knowledge sharing. Moreover, power distance does not moderate the relationship between LLX and knowledge sharing.

The present study one of its kind explores the relationship between LLX, feedback-seeking behavior, knowledge sharing and power distance.

The study aims to test the relationship between innovation orientation (INO) and business performance. It also explores the moderating effect of firm size on the relationship between INO and business performance.

A purposive sample of 278 firms (manufacturing and service) was taken from the National Capital Region and the Punjab state of India. The survey questionnaire was administered to two to three managerial-level employees from each of the 278 firms. Exploratory and confirmatory factor analyses were used to validate the INO and business performance scales. The hypotheses were tested using multi-group moderation analysis and structural equation modeling.

The study shows that INO has a significant positive effect on business performance. The results have indicated that firm size (based on the number of employees) moderates the relationship between INO and business performance. However, firm size (based on investment) does not moderate the relationship between INO and business performance.

The study is an attempt to synthesize the fragmented results testing innovation–performance relationship using firm size as a moderator on the relationship between INO and business performance and provides insights for both academicians and practitioners.

The purpose of this study is to investigate the dimensionality of the market orientation (MO) scale.

This is a firm-level study. A purposive sample of 400 firms (with 2–3 key informants from each firm) has been taken to study the MO of the firms. The psychometric testing of the MO scale was done using exploratory factor analysis, confirmatory factor analysis and structural equation modeling (SEM).

The results have shown that the dimensionality of MO exhibits a different pattern across the sample. The four factors delineated dimensions explain more than 62% of the variance in the data set and are found to be the valuable and versatile measure of MO. Overall, the results provide enough evidence of the validity, reliability and generalizability of the MO scale. The results of SEM indicate a satisfactory nomological validity of the scale.

The study develops a valid measure of MO with a major focus on market intelligence. The study proposes MO as a function of customer orientation, competitor orientation, inter-functional coordination and market intelligence which was largely ignored in the marketing literature.

The purpose of the study is to develop a conceptual model of knowledge sharing and how knowledge sharing is linked to business performance. The study proposes basic dimensions of knowledge sharing which seem to be poorly defined in the past literature.

The studies were explored from journals which are indexed (Scopus, Thomson Reuters and ProQuest) and specialized in knowledge sharing and business performance. Majority of the papers were available in electronic format, so that papers could be easily explored using the key terms. Various search engines were used to explore the studies such as Google scholar, Emerald insight and ProQuest. Published theses, conference proceedings, working paper series and work in progress were excluded from the search. The review process included the studies from 1987 to 2017. During the review process, papers were explored on the basis of key word search, namely, “Knowledge sharing”, “Business performance” and “Industry type” to reduce interpretation bias.

Knowledge sharing is the significant predictor of business performance and industry type moderates the relationship between knowledge sharing and business performance. The relationship between knowledge sharing and business performance is important in both manufacturing and service organizations. Knowledge sharing dimensions proposed are elementary in nature and require further refinement and development.

The study was approached from a theoretical perspective and the model proposed can be empirically validated by identifying statements for each dimension. Future research should explore the following: As to what extent these dimensions reflect knowledge sharing? Are dimensions chosen carefully? Or do they emerge as a result of previous studies?

The model can be very helpful for managers and practitioners who want to study how knowledge sharing enhances business performance. Managers will be able to understand how industry-specific differences affect business performance through knowledge sharing.

Proposed conceptual model advances the theoretical base of knowledge sharing by suggesting dimensions based on comprehensive review of the literature. The study contributes to knowledge management and business performance literature.

This study aims to conduct a bibliometric analysis on knowledge management from journals in the Scopus database between 1988 and 2021. The paper covered the past three decades of publications and carried out performance analysis and science mapping analysis of articles.

The study uses bibliometrics, performance analysis and science mapping analysis of 1,016 articles extracted from the Scopus database. The study examined the scientific productivity of articles, productive authors, citable documents, most relevant institutions, cited countries, co-occurrence of keywords, thematic mapping, co-citations and collaboration of authors and countries. The study used Biblioshiny as a tool to carry out the performance analysis and science mapping analysis.

The results show that the number of publications has significantly increased in the past decade, 88.4% of authors contribute at least a single article, 8.3% of authors published two articles, 2% of the authors published three documents and 0.6% of the authors contribute four papers. The USA, China and Australia were the most productive countries in terms of the total number of citations and foreign collaborations. Journal of Knowledge Management, Knowledge Management Research and Practice, VINE Journal of Information and Knowledge Management and International Journal of Technology Management are the top outlets in the knowledge management literature.

Over the past decade, the research on knowledge management construct has exploded because of the growing interest of researchers and practitioners in the field. Despite being a well-developed field, few studies have applied bibliometric analysis in the knowledge management literature. The study is more comprehensive in terms of the actors and methods involved in analyzing the scientific production of articles in the area of knowledge management.

Considering the increasing interest devoted to knowledge hiding in the workplace and academic research, the aim of this study is to analyze the existing literature on knowledge hiding to understand and trace how it has evolved over time and to uncover emerging areas for future research.

The study used performance analysis and science mapping to analyze a sample of 243 studies published between 2005 and 2022. The study focused on analyzing the scientific productivity of articles, themes and authors.

The results of performance and science mapping analysis indicate that the concept of knowledge hiding behavior evolved recently and a majority of the studies have been conducted in the past decade. The study found that knowledge hiding is still in its infancy and has been studied in relation to other themes such as knowledge sharing, knowledge management, knowledge withholding and knowledge transfer. The study identified emerging themes, productive authors and countries, affiliations, collaboration network of authors, countries and institutions and co-occurrence of keywords.

Compared to the recent developments in the knowledge hiding behavior, the present study is more comprehensive in terms of the methods and databases used. The results of the study contribute to the existing literature on knowledge hiding and knowledge withholding.

This study aims to analyze the trends manifested in literature from the area of knowledge management and performance, with emphasis on bibliometric analysis.

To explore the studies focused on the area under investigation, the authors performed a search in ISI Web of Science and Scopus using the combination of keywords such as “Knowledge management” AND “Performance.” Generally, this study covered a period of 33 years, from 1988 to 2021 because the first study was published in 1970 and the databases have not covered all the journals and studies which date back to the early 1970s or 1980s. The final data set comprised 1,583 publications with 40 articles removed during the screening and eligibility process.

The results of the bibliometric analysis indicate that the interest in the area of knowledge management and performance has significantly increased, especially from 2000 to 2021. The application of bibliometric analysis on the relationship between knowledge management and performance uncovered various themes, productive authors and widely cited documents. The study highlighted how the knowledge management–performance relationship has evolved over the years and how the interplay between knowledge management and performance may help the firms in gaining the sustainable competitive advantage.

To the best of the author’s knowledge, this study is the first of its kind to conduct the bibliometric analysis on knowledge management and performance. This study can be a starting point for scholars interested in understanding how knowledge management is related to performance.