Search results

1 – 10 of over 2000
Article
Publication date: 26 January 2023

Fenglian Wang, Qing Su and Zongming Zhang

This study is aimed at making an inspection of the effects of collaborative innovation network characteristics on firm innovation performance, and the intermediary roles of…

Abstract

Purpose

This study is aimed at making an inspection of the effects of collaborative innovation network characteristics on firm innovation performance, and the intermediary roles of knowledge transfer efficiency is taken into account.

Design/methodology/approach

This study used a convenient sampling method to obtain population and samples. Using data obtained by publishing online and paper questionnaires, and using on-site interviews in Anhui Province in the Yangtze River Delta region of China, descriptive analysis, regression analysis and correlation analysis are utilized to study the direct influence of collaborative innovation network characteristics on knowledge transfer efficiency as well as firm innovation performance, and the intermediary roles of knowledge transfer efficiency on firm innovation performance, respectively. In this study, 3,000 questionnaires were distributed to the employees of enterprises engaged in research and development (R&D) activities, of which 2,560 were valid. With the help of SPSS24.0 software, the reliability and validity of the questionnaire was analyzed.

Findings

The results are indicative of that network centrality and relationship strength positively affect knowledge transfer efficiency and firm innovation performance. Nevertheless, network scale has no significant correlation with knowledge transfer efficiency and enterprise innovation performance. In addition, knowledge transfer efficiency is an intermediary between collaborative innovation network characteristics and enterprise innovation performance, and positively affects enterprise innovation performance, which demonstrated that managers should take advantage of collaborative innovation network characteristics to elevate knowledge transfer efficiency because well-realized transferals of knowledge can help accelerate the coordination of resources in knowledge, and finally bring about the advancement of firm's innovation abilities and performance.

Research limitations/implications

There are few previous studies that fully examined the relationships among collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. This paper developed previous researches on the relationships between collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. The mediation of knowledge transfer efficiency on the relationship between collaborative innovation network characteristics and firm innovation performance is analyzed. Further, studies on collaborative innovation network characteristics using data obtained from employees engaged in R&D activities are very limited in the literature. On account of that, the findings in this study may make sense to the innovation ability of innovative enterprise and expand the literature in the field of enterprise strategic management and knowledge management.

Practical implications

This analysis shows that collaborative innovation network characteristics have both positive and negative effects on firm innovation performance. Therefore, business managers should pay attention to their position in the collaborative innovation network and maintain the relationship strength with other innovation subjects. Special consideration should be given to the knowledge transfer of innovative enterprises, so as to improve firm innovation performance practically.

Originality/value

The study may provide additional understandings for researchers, government managers, universities and enterprises with regard to strategic management from the visual angle of innovation ecosystems. It is instrumental in the exploration of the mechanisms enabling firm innovation performance.

Open Access
Article
Publication date: 28 November 2023

Silvia Massa, Maria Carmela Annosi, Lucia Marchegiani and Antonio Messeni Petruzzelli

This study aims to focus on a key unanswered question about how digitalization and the knowledge processes it enables affect firms’ strategies in the international arena.

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Abstract

Purpose

This study aims to focus on a key unanswered question about how digitalization and the knowledge processes it enables affect firms’ strategies in the international arena.

Design/methodology/approach

The authors conduct a systematic literature review of relevant theoretical and empirical studies covering over 20 years of research (from 2000 to 2023) and including 73 journal papers.

Findings

This review allows us to highlight a relationship between firms’ international strategies and the knowledge processes enabled by applying digital technologies. Specifically, the authors discuss the characteristics of patterns of knowledge flows and knowledge processes (their origin, the type of knowledge they carry on and their directionality) as determinants for the emergence of diverse international strategies embraced by single firms or by populations of firms within ecosystems, networks, global value chains or alliances.

Originality/value

Despite digital technologies constituting important antecedents and critical factors for the internationalization process, and international businesses in general, and operating cross borders implies the enactment of highly knowledge-intensive processes, current literature still fails to provide a holistic picture of how firms strategically use what they know and seek out what they do not know in the international environment, using the affordances of digital technologies.

Details

Journal of Knowledge Management, vol. 27 no. 11
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 22 December 2023

Chang Lu, Yong Qi, Shibo Hao and Bo Yu

This study aims to explore the effect of collaboration networks (domestic and international collaboration networks) on the innovation performance of small and medium-sized…

Abstract

Purpose

This study aims to explore the effect of collaboration networks (domestic and international collaboration networks) on the innovation performance of small and medium-sized enterprises (SMEs). It also investigates the mediating role of business model innovation, the moderating role of entrepreneurial orientation and government institutional support between them.

Design/methodology/approach

Hierarchical regression analysis is adopted to test the hypotheses based on survey data provided by 223 manufacturing SMEs in China.

Findings

The results reveal that domestic and international collaboration networks positively affect SMEs' innovation performance. Business model innovation mediates domestic and international collaboration networks-SMEs’ innovation performance relationships. Entrepreneurial orientation positively moderates international collaboration networks–SMEs’ innovation performance relationship, and government institutional support positively moderates domestic and international collaboration networks–SMEs’ innovation performance relationships.

Practical implications

The findings indicate that managers of SMEs should invest in domestic and international collaboration networks and business model innovation to enhance SMEs' innovation performance. Moreover, entrepreneurial orientation and government institutional support should be valued when SMEs try to enhance their innovation performance by embedding in domestic and international collaboration networks.

Originality/value

This study broadens the authors' understanding of the relationship between collaboration networks and firms' innovation performance by classifying collaboration networks into domestic and international dimensions and investigating their direct impacts on SMEs' innovation performance. Besides, this study reveals how and when domestic and international collaboration networks influence the innovation performance of SMEs.

Details

Business Process Management Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 29 March 2024

Anil Kumar Goswami, Anamika Sinha, Meghna Goswami and Prashant Kumar

This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers…

Abstract

Purpose

This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.

Design/methodology/approach

The study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.

Findings

The study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.

Research limitations/implications

This study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.

Practical implications

This study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.

Originality/value

To the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 23 January 2024

Didas S. Lello, Yongchun Huang and Jonathan M. Kansheba

Agenda for knowledge creation within inter-project alliances and inter-firm supply chain networks has been extensively debated. However, the existing knowledge networks within…

Abstract

Purpose

Agenda for knowledge creation within inter-project alliances and inter-firm supply chain networks has been extensively debated. However, the existing knowledge networks within consultant-supplier interfaces in the architecture, engineering and construction (AEC) industry seem to be vague, loose, incidental and insignificant. This study examines factors affecting knowledge networking intention (KNI) within construction service supply chain (CSSC) networks.

Design/methodology/approach

Data analysis was conducted on a quantitative survey of 161 consulting professional service firms in Tanzania, employing stepwise regression modelling as the statistical technique.

Findings

The results indicate that three types of knowledge inertia (KI) exert varying effects on KNI. While both procedural (PI) and learning inertia (LI) negatively impact KNI, experience inertia (EI) has no impact on KNI. In addition, knowledge governance (KG) mechanisms are found to strongly strengthen and leverage the negative effects of PI and LI on KNI and the positive link between EI and KNI within outbound and heterogeneous CSSC actors, with formal KG having greater leverage than informal KG.

Practical implications

The study offers guidance on how managers of PBOs should strategically orchestrate knowledge governance mechanisms within CSSC networks to leverage KI behaviours.

Originality/value

Current literature on KNI, KI and KG within CSSC networks offers a limited understanding of how KI behaviours influence KNI of project-based organizations (PBOs) in tapping vibrant outbound peripheral knowledge. The research presents two major original contributions. First, the empirical evidence contributes to deepening the current understanding of how heterogeneous external knowledge within consultant-supplier interactions is negatively influenced by KI. Lastly, the study suggests formal and informal knowledge governance strategies for managers on how to counteract KI forces, thus extending the theoretical debate on KNI, KI and KG literature.

Article
Publication date: 29 June 2023

Minwir M. Al-Shammari

The study aims to design a holistic multi-stage hierarchical model that leverages the firm's knowledge-enabled distinctive core competencies (DCCs) and builds enduring and…

Abstract

Purpose

The study aims to design a holistic multi-stage hierarchical model that leverages the firm's knowledge-enabled distinctive core competencies (DCCs) and builds enduring and profitable customer relationships to achieve sustainable competitive advantage (SCA) in dynamic and challenging environments. It developed a knowledge-enabled customer-centric competitiveness strategy (KCCS) model that integrates four pillars: business process reengineering (BPR), knowledge management (KM), customer relationship management (CRM) and competitiveness strategy. It also proposed a BPR model to enable cross-functional cooperation and coordination for firms dealing with customers, provided a blueprint for KCCS's successful implementation and compared the KCCS model with other customer-centric (CC) approaches.

Design/methodology/approach

This study adopted an exploratory research design based on a literature review of relevant studies. It has systematically analyzed 130 articles and books from Scopus, the Web of Science, Google Scholar and other renowned databases from 1982 to 2022. The analysis involved identifying and selecting relevant literature and conducting thematic research to develop a theoretical KCCS model that integrates BPR, KM, CRM, competitiveness strategy and the firm's SCA into a KCCS model.

Findings

This study developed an integrative KCCS theoretical model rooted in the extant literature in BPR, KM, CRM, competitiveness strategy, DCCs, SCA and other fields. The study proposed a BPR model as a significant component of KCCS that enables cross-functional cooperation and coordination, which are often troublesome for firms in their dealings with customers. The study also provided a blueprint for successfully implementing the KCCS model and compared the KCCS model with other CC approaches.

Originality/value

This study filled many research gaps in the literature in which knowledge-enabled CC frameworks are widely scattered. It offered a conceptual multi-stage hierarchical KCCS model that combines interrelated elements of BPR, KM, CRM, and competitiveness strategy. It proposed a BPR model as a significant component of the KCCS that enables cross-functional cooperation and coordination, which frequently form barriers when dealing with customers. It also provided a blueprint for successfully implementing the KCCS and compared it with other CC approaches.

Article
Publication date: 7 March 2023

Roberto Cerchione, Piera Centobelli, Eugenio Oropallo, Domitilla Magni and Elena Borin

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Details

Journal of Knowledge Management, vol. 27 no. 9
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 15 January 2024

Mohsin Rasheed, Jianhua Liu and Ehtisham Ali

This study investigates the crucial link between sustainable practices and organizational development, focusing on sustainable knowledge management (SKM), green innovation (GI…

Abstract

Purpose

This study investigates the crucial link between sustainable practices and organizational development, focusing on sustainable knowledge management (SKM), green innovation (GI) and corporate sustainable development (CSD) in diverse Pakistani organizations.

Design/methodology/approach

This study employs a comprehensive research methodology involving advanced statistical techniques, such as confirmatory factor analysis, structural equation modeling and hierarchical linear modeling. These methods are instrumental in exploring the complex interrelationships between SKM, GI, moderating factors and CSD.

Findings

This research generates significant findings and actively contributes to sustainable development. The following sections (Sections 4 and 5) delve into the specific findings and in-depth discussions, shedding light on how industry regulation, organizational sustainability priorities, workplace culture collaboration and alignment between green culture and knowledge management practices influence the relationships between SKM, GI and CSD. These findings provide valuable insights for the research community and organizations striving for sustainability.

Practical implications

The study’s findings have practical implications for organizations seeking to enhance their sustainability efforts and embrace a socially and environmentally conscious approach to organizational growth.

Originality/value

This study contributes to the literature on sustainable practices and organizational development. Researchers and business people can learn a lot from it because it uses advanced econometric models in new ways and focuses on the link between knowledge management, GI and sustainable corporate development.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 28 February 2023

Séverine Lemaire, Bertrand Gael, Gloria Haddad, Meriam Razgallah, Adnane Maalaoui and Federica Cavallo

This paper aims to refer to the knowledge transfer of entrepreneurial skills between digital incubators and nascent entrepreneurs. It questions the role of the context and of the…

Abstract

Purpose

This paper aims to refer to the knowledge transfer of entrepreneurial skills between digital incubators and nascent entrepreneurs. It questions the role of the context and of the richness of the ecosystems in which these women evolve, as defined by Welter and Baker (2021) on such an attempt.

Design/methodology/approach

This research is based on a qualitative study that refers to case studies of women nascent entrepreneurs who evolve into two different contexts – one rich zone and one deprived economic one of the French Parisian Region – and who integrated the same digital incubator.

Findings

Context does partly matter: besides the “Where”, the “Who” and, moreover, the level of education and previous entrepreneurial experience really matters, and only educated women, whatever the other components of context, seem to be capable to receive the “best” knowledge transfer from incubators. Second, incubators can be considered as to be a knowledge hub that allow knowledge transfer not only from trainers and coaches to women nascent entrepreneurs but also among women entrepreneurs. This paper concludes with a discussion on the role of digital training and coaching in such knowledge transfers.

Research limitations/implications

Findings are limited to a specific place (the region of Paris). Therefore, women entrepreneurs evolve in more different contexts but the national entrepreneurial and institutional context remains the same. There should be need to explore the role of an incubator that evolves into more contrasted contexts.

Practical implications

If results can be generalized, this means incubators should differentiate their services, teaching and coaching expertize according to the education level of nascent entrepreneurs: This is a plaidoyer against institutionalized incubators that claim to be capable of targeting any nascent (women) entrepreneurs.

Social implications

This study is also a plaidoyer for more digital incubator to mix persons from different contexts, especially to welcome persons from more deprived economic zones.

Originality/value

The research reveals the role of context – and, some components of the context – intro coaching and training that are provided by online incubators. It contributes to the literature on knowledge transfer that is brought about by incubators. It also contributes to the literature in entrepreneurship by showing that some components among the others that define what we call “the context” matter more than others.

Details

Journal of Knowledge Management, vol. 27 no. 10
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 24 April 2023

Majid Mohammad Shafiee, Merrill Warkentin and Setare Motamed

This study aims to investigate the key roles of human and relational capital in the export orientation and competitiveness of knowledge-intensive cooperative companies. It is also…

Abstract

Purpose

This study aims to investigate the key roles of human and relational capital in the export orientation and competitiveness of knowledge-intensive cooperative companies. It is also aimed to examine the moderating role of marketing knowledge capabilities.

Design/methodology/approach

Data from 552 managers at 86 companies, selected from knowledge-intensive export cooperatives, were analyzed with structural equation modeling with the partial least squares approach.

Findings

Results indicate that both human and relational capital exert considerable effects on competitiveness. Export orientation was a driving factor for cooperatives’ competitiveness. Human and relational capital fostered the effects of export orientation on competitiveness. Moreover, marketing knowledge capabilities were found to moderate the relationships between human and relational capital and export orientation, as well as between export orientation and competitiveness.

Originality/value

By highlighting the role of human capital and relational capital in export orientation and competitiveness, this study offers an analysis of important managerial processes within cooperative companies, which have not been sufficiently addressed in previous research. This research also demonstrated the moderating role of marketing knowledge capabilities in strengthening relationships between human and relational capital and export orientation, as well as between export orientation and competitiveness, which has been neglected in previous studies. These findings provide academics and practitioners with a new framework for examining the relationships between these constructs, which will enable them to establish strategies for achieving a competitive advantage.

Details

Journal of Knowledge Management, vol. 28 no. 1
Type: Research Article
ISSN: 1367-3270

Keywords

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