Journal of Knowledge Management最新文献

Purpose

This study aims to address the issue of perfunctory sharing that arises in knowledge governance due to a lack of willingness to share knowledge between individuals within the same organization. This knowledge-sharing process does not occur simultaneously for both parties but follows a sequential progression. Additionally, this governance model fully considers the willingness of both parties to share and effectively addresses the two knowledge characteristics that influence their willingness to do so.

Design/methodology/approach

This study follows inductive logic and primarily adopts an interpretive case study approach to conduct a longitudinal exploratory case study. An incubator enterprise with active knowledge-sharing activities and significant knowledge governance effects is selected as the research subject. The governance system is explained through the lens of prospect theory at the mechanism level.

Findings

In the study of the knowledge-sharing process, the authors observed a new challenge: perfunctory behavior, whereby individuals engage in knowledge-sharing activities that lack substantial effects as a way to avoid genuine sharing. From this, a new knowledge-sharing model was extracted, the cold start and hot feedback model, which follows a sequential (rather than simultaneous) progression. Using the deterministic effect of prospect theory and the principle of reference dependence, the governance mechanism of corporate knowledge sharing was analyzed from the perspective of knowledge-sharing willingness.

Research limitations/implications

Based on prospect theory, this study primarily explains how the governance mechanism influences the willingness to share knowledge from the perspective of four principles. In the future, threat rigidity theory and commitment escalation theory can be combined to further analyze the willingness to share knowledge from the perspectives of pressure and cost. Empirical research methods can also be used to test and enrich the research results of this paper.

Originality/value

After considering the willingness to share knowledge, a new knowledge-sharing model and corresponding knowledge-sharing governance model are proposed, and prospect theory is extended to the knowledge-based theory research field.

Purpose

This study aims to propose a framework for the development of implementation guidelines (IGs) that can help consultants mitigate not-invented-here (NIH) syndrome during a consultant intervention as a specific type of knowledge transfer.

Design/methodology/approach

The authors adopted a design science research approach for proposing an NIH-mitigating IG development framework. Inspired by findings and rich primary data from two consultant interventions, the authors, through theory building, ground five core principles in the general theory of NIH attitude functions. Finally, the authors revisit two consultant interventions to identify and describe mechanisms that led to the enactment of the principles.

Findings

The proposed framework provides five principles for developing NIH-mitigating IGs. The present research proposes that successful knowledge transfer and the mitigation of NIH syndrome as a prerequisite for this success are conditioned by adequately developed IGs.

Originality/value

The originality and value of the present research lie in the proposed NIH-mitigating IG development framework containing a set of principles for IG development as a proactive rather than reactive approach to NIH mitigation. To the best of the authors’ knowledge, this is the first research to address the problematics of mitigating NIH syndrome in consultant knowledge transfer by focusing on developing appropriate IGs. By developing and implementing IGs based on the proposed framework, a more successful transfer of knowledge from consultants to clients should take place, thus, increasing the value that clients receive from consultancy.

Purpose

While most research on female entrepreneurship has been conducted using the traditional private-for-profit logic, with the growing rise of hybrid and public organizational forms, the value of female entrepreneurial initiatives tends to be shared with society at large. Overcoming the traditional distinction between private vs public sectors, this paper relies on the publicness theory and aims to appreciate the shared value of female entrepreneurship by reviewing evidence from the field of knowledge sharing.

Design/methodology/approach

The authors conduct a three-phase systematic literature review on female entrepreneurship and knowledge sharing based on a sample of 188 articles for the period 2010–2022 retrieved from the three most extensive databases for evaluating scientific research (i.e. WoS, Scopus and Google Scholar) using a combination of relevant keywords within business and management domain. After the performance analysis of selected publications, the authors conduct a content analysis aimed at identifying the most recurrent theoretical framing, the impact of female entrepreneurship on value creation and the use of knowledge sharing. Finally, the authors conduct a thematic analysis using the theoretical perspective of the publicness to frame how different knowledge-sharing practices have been used in female entrepreneurship to create and spread public value.

Findings

The findings reveal that female entrepreneurship research has generally adopted managerial organizational and sociological theoretical frameworks, reported positive implications on value creation and has seldom exploited knowledge-sharing practices, with particular reference to the settings of low level of publicness. In addition, based on the development of the conceptual model, the authors suggest that the practice of networking in organizational structures characterized by a high level of political and/or economic authority makes the pattern of public value-sharing with the entire ecosystem easier.

Originality/value

The authors adopt an original approach that frames female entrepreneurship research within the lens of publicness theory to highlight the knowledge-sharing practices that allow the value created by female entrepreneurial initiatives to become a shared value in organizations characterized by high levels of political and/or economic authority. The proposed framework contributes to the research on entrepreneurship and knowledge sharing by providing a structured reference point to carry forward research on gender entrepreneurship and knowledge-sharing practices through the theoretical lens of the publicness.

Purpose

Over the past decade, artificial intelligence (AI) technologies have rapidly advanced organizational management, with many organizations adopting AI-based algorithms to enhance employee management efficiency. However, there remains a lack of sufficient empirical research on the specific impacts of these algorithmic management practices on employee behavior, particularly the potential negative effects. To address this gap, this study constructs a model based on the psychological ownership theory, aiming to investigate how algorithmic management affects employees’ knowledge hiding.

Design/methodology/approach

This study validates the model through a situational experiment and a multi-wave field study involving full-time employees in organizations implementing algorithmic management. Various analytical methods, including analysis of variance, regression analysis and path analysis, were used to systematically test the hypotheses.

Findings

The study reveals that algorithmic management exerts a positive indirect influence on knowledge hiding through the psychological ownership of personal knowledge. This effect is particularly pronounced when employees have lower organizational identification, highlighting the critical role of organizational culture in the effectiveness of technological applications.

Originality/value

This study is among the first empirical investigations to explore the relationship between algorithmic management and employee knowledge hiding from an individual perception perspective. By applying psychological ownership theory, it not only addresses the current theoretical gap regarding the negative effects of algorithmic management but also provides new theoretical and empirical support for the governance and prevention of knowledge hiding within organizations in the context of AI algorithm application. The study highlights the importance of considering employee psychology (i.e. psychological ownership of personal knowledge) and organizational culture (i.e. organizational identification) under algorithmic management. This understanding aids organizations in better managing knowledge risks while maximizing technological advantages and effectively designing organizational change strategies.

Purpose

The moderating role of digital services trade restrictiveness to the effects of national intellectual capital on economic growth has been largely ignored in the existing literature. As such, this paper aims to examine how national intellectual capital and digital services trade restrictiveness affect economic growth. In addition, the moderating role of digital services trade restrictiveness in the relationship between national intellectual capital and economic growth is also examined.

Design/methodology/approach

In this study, a sample comprising 62 countries worldwide is used. The national intellectual capital for each country is computed using the index of national intellectual capital. Data pertaining to digital services trade restrictiveness are extracted from the digital services trade restrictiveness index (OECD Statistics on International Trade in Services database). To ensure the robustness of the findings, the generalized method of moments (GMM) is used in the analysis.

Findings

The findings of this study confirm that national intellectual capital supports economic growth. Accumulating intellectual capital at the national level plays an essential role in supporting economic growth. The authors also find evidence to confirm that digital services trade restrictiveness negatively affects economic growth, particularly for high-income and lower-middle-income countries. Interestingly, digital services trade restrictiveness deteriorates economic growth across countries globally, except for upper-middle-income countries, with a weak effect. The empirical results also confirm that the joint effects between national intellectual capital and digital services trade restrictiveness are negative and significant. As such, findings from our analysis suggest that digital services trade restrictiveness moderates the relationship between national intellectual capital and economic growth.

Practical implications

The findings of this study provide valuable implications for policymakers to formulate and implement policies aiming to improve national intellectual capital to support sustainable economic growth. In addition, limiting digital services trade restrictiveness across countries appears to provide both direct and indirect effects in enhancing sustainable economic growth.

Originality/value

To the best of the authors’ knowledge, this is the first empirical study conducted to examine the moderating role of digital services trade restrictiveness on the national intellectual capital – economic growth nexus.

Purpose

This paper aims to gain insights into the paradoxical tensions emerging from circular business model innovation (CBMI) and how to overcome them by developing a theoretical framework drawing on two theoretical streams: firstly, the paradox theory for shedding light on the often “invisible” contradictions generated by the implementation of circular economy (CE) principles in business model transformation; and secondly, the dynamic capability theory that can contribute to the investigation of how to manage these contradictions.

Design/methodology/approach

The study uses a longitudinal case study approach to gain an in-depth understanding of the transformation and challenges faced by an incumbent firm in adopting a circular business model. Qualitative research methods are used to explore the paradoxical tensions and dynamic capabilities involved in the process.

Findings

The study finds that incumbent firms face numerous challenges and paradoxical tensions in the CBMI process. These tensions arise from difficulties in implementing organizational changes, balancing competing priorities and managing conflicting goals. Dynamic capabilities are crucial in managing these tensions and facilitating the transition to a circular business model.

Research limitations/implications

This paper contributes to the theoretical development of paradox theory by applying it to the new field of CBMI which is currently slightly investigated and responds to the call for studies looking at more fine-grained types of sustainable business models. The study adds to previous literature that how the firm handles paradoxes and tensions influences the pace and results of the process. If the firm becomes discouraged during the early stages of identifying new opportunities, the pace slows down, and the firm becomes hesitant to collaborate more with partners. Furthermore, the ability to capitalize on these opportunities is affected by these tensions and contradictions.

Originality/value

This paper contributes to the literature by empirically investigating the process of CBMI in incumbent firms. It fills the gap in existing research by examining the existence of paradoxical tensions in a real-life setting and exploring the role of dynamic capabilities in managing these tensions. The findings provide practical insights for firms seeking a transition towards a CE and highlight that the ability to sense the external context should be developed as the new business model entails a central role of external actors.

Purpose

The purpose of this study was to investigate the impact of artificial intelligence (AI) adoption on knowledge workers' innovative work behaviors (IWB), as well as the mediating role of stress appraisal and the moderating role of individual learning abilities.

Design/methodology/approach

This study analyzed the questionnaire results of 313 knowledge workers, and data analysis was conducted by using SPSS 25.0, SPSS 25.0 macro-PROCESS and AMOS 28.0.

Findings

This study found that AI adoption has a double-edged sword effect on knowledge workers' IWB. Specifically, AI adoption can promote IWB by enhancing knowledge workers' challenging stress appraisal, while inhibiting IWB by fostering their hindering stress appraisal. Moreover, individual learning ability significantly moderated the relationship between AI adoption and stress appraisal, which further influenced IWB.

Originality/value

This study integrates the conflicting findings of previous studies and proposes a comprehensive theoretical model based on the theory of cognitive appraisal of stress. This study enriches the research on AI in the field of knowledge management, especially extending the understanding of the relationship between AI adoption and knowledge workers’ IWB by unraveling the psychological mechanisms and behavior outcomes of users' technology usage. Additionally, we provide new insights and suggestions for organizations to seek the cooperation and support of employees in introducing new technologies or driving intelligent transformation.

Purpose

Organizations can greatly benefit from the transfer of knowledge from older employees to younger generations. However, older workers often hesitate to share their expertise with their younger colleagues. Grounded in conservation of resources theory and the stereotype threat framework, this study aims at examining the negative impact of age-based stereotype threat on organizational knowledge management.

Design/methodology/approach

The authors developed a moderated mediation model and collected data from 219 older workers with a time-lagged design to explore the effect of age-based stereotype threat on older workers’ knowledge hiding.

Findings

The results showed that age-based stereotype threat could lead to knowledge hiding behaviors among older workers due to increased job insecurity, and leader-member exchange can potentially mitigate these effects.

Originality/value

The findings underscore the detrimental effect of age-based stereotype threat on organizational knowledge management and suggest that organizations should foster an age-inclusive environment to facilitate effective intergenerational knowledge transfer.

Purpose

The purpose of this study is to provide a holistic view of how the different dimensions of absorptive capacity (AC) impact reverse knowledge transfer (RKT). Although the importance of AC has been realized in knowledge and RKT literature, scholars have hardly explored the differentiated importance of each component of AC. When knowledge leads to competitive advantage, understanding the differentiated contribution will help enhance the impact of AC on RKT. This becomes even more important for emerging economy multinationals (EMNCs), which struggle in the global market and suffer from various liabilities. Therefore, this study focuses on the multidimensional impact of AC on RKT from Indian multinational subsidiaries based in developed nations to their parent firm.

Design/methodology/approach

This study is a quantitative study. The authors tested the research model using a structural equation modeling design based on survey data collected from subsidiaries (in developed economies) of Indian multinationals.

Findings

The results show that acquisition, assimilation and transformation components of AC have positive impact on RKT. However, the authors found that the exploitation dimension has no impact on RKT.

Originality/value

To the best of the authors’ knowledge, the research design is original and this is the first study on the impact of all components of AC on RKT. AC is one of the most widely researched variables in knowledge literature, including different versions of Zahra and George’s concept of AC. However, its impact has not been explored much in RKT literature. This study addresses this gap and extends the literature on AC and RKT. The advantages of this study can be seen at the team and organization level.

Purpose

The effect of digital transition on knowledge management (KM) processes is becoming relevant for companies operating in different industries and the body of literature examining this impact is rapidly growing. This paper aims to critically analyse the literature on the impact of digital transition on KM by rethinking the SECI model proposed by Nonaka and proposing the WISED model for the digital knowledge-creating company.

Design/methodology/approach

The systematisation of existing studies on the topic and the analysis of the evolution of knowledge creation process in the era of digital transition was carried out through a bibliometric approach.

Findings

According to the traditional epistemological and ontological dimensions and considering the innovative KM processes identified by this study (i.e. webification, informalisation, systematisation, explicitation and digitalisation), the results highlight how the proposed WISED model can be adopted by organizations to manage knowledge through the use of digital technologies.

Originality/value

Digital transition seems to open up new horizons that can expand the potential use of the WISED model for organisations and society.