Search results

Based on the perspective of knowledge management, this study aims to discuss how to build cross-city emergency management collaboration mechanism in major emergencies and explore the important role of knowledge management in emergency management collaboration.

Based on the theoretical analysis of knowledge management and the typical case study of cross-city emergency management collaborative rescue, this study provides an in-depth analysis of how these cities achieve high emergency management performance through multidimensional and multilevel knowledge collaboration, thus revealing the mechanism of knowledge transfer, integration and sharing in achieving high emergency management performance.

Through analyzing typical cases, this study finds that building a smooth mechanism for multichannel emergency rescue information can promote the diversification of knowledge transfer methods, building a platform-based integration mechanism for emergency rescue information can enhance knowledge integration capabilities and building a linkage mechanism for emergency rescue materials between cities can promote knowledge-sharing level, thereby improving emergency management performance level.

This study has great significance for how to build cross-city emergency management collaboration mechanism in the digital era. In the future, the authors need to further discuss the following two aspects in depth: research on the impact of cross-city emergency management collaboration mechanism on improving the knowledge management capabilities of government emergency management departments; and research on the impact mechanism of knowledge management capabilities on city resilience.

Through case analysis of cross-city emergency management collaborative rescue for major emergencies in China in recent years, this study proposes three specific strategies for cross-city emergency management (smooth, integration and linkage mechanisms) and reveals that these three strategies are essentially aimed at improving the government’s knowledge management level.

The purpose of this paper is to explore how organizations manage and integrate exploration and exploitation across the innovation project portfolio. Such ambidextrous capabilities are required for organizations to innovate and succeed in today's rapidly changing competitive environment. Understanding how exploration and exploitation projects are integrated can illustrate ways to enhance ambidexterity and boost learning for the benefit of both approaches.

A multiple-case study approach was used to explore innovation portfolio management in six large organizations that emphasize innovation in their strategies.

The findings draw upon concepts of paradox and contingency to reveal that the inherent tension between formality and flexibility in managing innovation project portfolios is aligned with the need for organizational ambidexterity that maintains effective exploitative innovation while supporting explorative innovation capabilities. Four integration mechanisms are identified that enhance ambidexterity across the innovation portfolio by embedding processes for transition from exploration to exploitation and cross-fertilizing knowledge to build innovation capability across both exploration and exploitation.

Managers may find inspiration on ways to enhance learning by bridging exploration and exploitation projects from the four types of integration mechanisms. Recognizing the paradoxical nature of the tension between formality and flexibility in project and portfolio management may also help guide organizations to effectively develop ambidextrous approaches to enhance overall innovation outcomes.

In contrast to perspectives which suggest that paradox and contingency approaches represent disparate perspectives, the authors demonstrate how they can complement each other and work together through innovation portfolio management to support ambidexterity at the portfolio and project levels.

The embedding of digital technology and the fuzzy organizational boundary have changed the operation of platform innovation ecosystem (PIE). Specifically, as an important energy of PIE, the internal logic of knowledge flow needs to be reconsidered in the context of digital age, which will be helpful to select the cultivation and governance strategy of PIE.

A dual case-analysis is applied to open the “black box” of knowledge flow in the PIE from the perspective of enabled by digital technology, by taking the intellectual property (IP) operation platform as cases.

The research findings are as follow: (1) The knowledge flow mechanism of PIE is mainly demonstrated through the processes of knowledge acquisition, knowledge integration and knowledge spillover. During this process, connectivity empowerment and scenario empowerment realize the digital empowerment of the platform. (2) Connectivity empowerment provides a channel of knowledge acquisition for the digital connection between participants in PIE. In the process of knowledge integration, scenario empowerment improves the opportunities for accurate matching and collaborative innovation between knowledge supplier and demander, and enhance the value of knowledge. The dual effect of connectivity empowerment and scenario empowerment has accelerated the knowledge spillover in PIE. Particularly, connectivity empowerment expands the range of knowledge spillover, and scenario empowerment affects the generativity of the platform, resulting in the enhancement of platform’s capability to embed and expand its value network. (3) Participants have been benefitted from the PIE enabled by digital technology through three key modules (knowledge acquisition, knowledge integration and knowledge spillover), as the result of knowledge flow.

This study focuses on the knowledge flow mechanism of PIE enabled by digital technology, which enriches the PIE theory, and has enlightenments for the cultivation of digital platform ecosystem.

Despite the importance of green supply chain integration (GSCI) in advancing green innovation (GI) is recognized, it remains unclear how firms can translate their GSCI efforts into GI. Therefore, this study aims to understand how GSCI affects GI, with its dimensions (exploitative GI and exploratory GI), as well as to investigate the mediating role of green knowledge integration capability (GKIC) and the moderating role of blockchain technology (BCT) adoption.

On the basis of data collected from 247 managers working in Indian firms in the automotive industry, the authors tested the proposed model using the PROCESS macro tool via SPSS software.

The empirical results indicate that GSCI is positively associated with both exploitative and exploratory GI, with a higher effect on exploitative GI. In addition, GKIC mediates the link between GSCI and exploitative GI in contrast to exploratory GI. Notably, the relationship between GSCI and GKIC is stronger when BCT adoption is high.

This study opens the black box of how GSCI affects exploitative and exploratory GI by revealing the mediating role of GKIC and the moderating role of BCT adoption. It provides valuable insights for practitioners to translate GSCI efforts into GI through developing GKIC and adopting BCT.

The literature on knowledge management in sustainable supply chain (KMSSC) has witnessed significant growth in the past two decades. However, a scientometric review that consolidates the primary trends and clusters within this topic has been notably absent. This paper aims to scrutinize recent advancements and identify the intellectual underpinnings of KMSSC research conducted between 2002 and 2022.

The present review employs a scientometric analysis approach via visualization maps of prolific contributions, co-citation, co-occurrence and thematic networks to examine a total of 114 articles and conference papers on KMSSC.

Emerging research frontiers and hotspots are revealed and a state-of-the-art framework of KMSSC research structure is developed.

The review provides significant implications that guide KMSSC research and better inform sustainability decisions in the supply chain context.

To the best of the authors' knowledge, this is the first review to thoroughly synthesize the intersected domain of KMSSC using scientometric analysis.

This study investigated the moderating effect of organizational knowledge management performance on the sharing and use of information encountered by serendipity within the organization.

The authors surveyed 274 medical librarians from the top 100 medical schools.

Individual information encountering predicted information encountering at work, which, in turn, predicted organizational sharing of encountered information. When the propensity to encounter information was high, then organizational knowledge management performance moderated the effect between organizational encountering and organizational sharing of information. Encountered information at work was only present when high organizational knowledge management performance was in place.

This finding helps information behavior researchers discover the transfer of behaviors from everyday life to organizational environments.

It shows the need for greater support for information encounterers at work and the role of knowledge management, which may enhance their contribution to the organizational objectives.

Information encountering involves finding information by chance. Studies on information encountering have not focused on work settings and if the individual propensity to encounter information translates to organizational settings. Also, the relationship between information encountering and organizational knowledge management has not been studied so far.

Prior research on supply chain management has advanced substantially our understanding of how suppliers’ knowledge affects manufacturers’ green innovation. However, overlooking the suppliers’ diverse green knowledge in supplier networks, namely, green knowledge diversity, has limited our understanding of both supply chain management and green innovation development. To address this important issue, this study aims to rely on social network theory as the overarching framework and knowledge-based view as the underlying theoretical foundation to examine how green knowledge diversity contributes to manufacturers’ green innovation performance, while considering three types of supplier network properties (network strength, network heterogeneity and network density).

This study collects both survey and secondary proxy data from 209 manufacturing firms over three time periods (mid-2018, mid-2019 and mid-2020). PROCESS macro is applied to test the research hypotheses.

The results provide compelling evidence that green knowledge management processes partially mediate the effect of green knowledge diversity on manufacturers’ green innovation performance. The effect of green knowledge diversity is strengthened by supplier network strength and supplier network heterogeneity, but hindered by supplier network density.

This study provides a practical guide to help manufacturers enhance green innovation performance by properly managing and leveraging their suppliers’ diverse green knowledge domains in supplier networks.

This study contributes to the supply chain management and green innovation literature by offering novel theoretical and empirical insights into how manufacturers can use their supplier networks to strengthen green innovation.

This study aims to suggest a moderated mediation model addressing how internal integration interacts with information technology (IT) link with external customers to meet customer needs more efficiently and effectively.

This study tests the proposed hypotheses by using 268 data collected from manufacturing firms worldwide.

The results of this study reveal that internal integration plays a very important role in promoting customer satisfaction directly and indirectly by enhancing the ability to meet customers’ flexibility needs. In addition, the results show that IT link with customers strengthens this indirect influencing relationship.

By combining IT connectedness with external customers with internal capability, this study provides valuable insights into how manufacturing firms apply internal integration more effectively to enhance customer satisfaction.

Prior research on business analytics has advanced substantially our understanding of how social media analytics affect business performance. However, the specific value of social media analytics to product innovation has not been fully explored and appreciated. To address this important issue, the present study draws on the resource-based view and the knowledge-based view to examine (1) whether the use of social media analytics strengthens radical product innovation to a greater extent than it does incremental product innovation and (2) how knowledge-exploration competence and knowledge-exploitation competence mediate the influence of social media analytics on radical and incremental product innovation.

This study tested the proposed model using data collected from 205 manufacturing firms. Structural equation modeling was applied to test the research hypotheses using LISREL 8.80 software program.

The statistical findings provide compelling evidence that the use of social media analytics is more likely to lead to radical product innovation than to incremental product innovation. In addition, knowledge-exploration competence only partially mediates the relationship between social media analytics and radical product innovation. Knowledge-exploitation competence not only partially mediates such a relationship, but also fully mediates the link between social media analytics and incremental product innovation.

This study contributes to the social media analytics and innovation literature by offering novel theoretical and empirical insights into how firms can leverage the value of social media analytics to create superior product innovation.

This paper aims to conduct an analysis of the influence of both the breadth and depth of outward foreign direct investment (OFDI) undertaken by Chinese high-tech listed companies during the period spanning 2010–2019. The data pertaining to these companies was used as a research sample to analyze the effects of OFDI on radical innovation performance.

Hierarchical regression analysis was used to test the proposed models, using survey data collected from 442 high-tech companies in China.

The findings of this study indicate a curvilinear (i.e. U-shaped) relationship between the breadth/depth of OFDI and radical innovation performance. Additional analysis reveals that OFDI plays a role in facilitating innovation breakthroughs by enhancing the internal dynamic capabilities of companies. Moreover, it is observed that a well-established institutional environment in the host country of investment can positively moderate the relationship between OFDI breadth/depth and radical innovation performance.

This study proffers a significant contribution to the understanding of the crucial role played by OFDI from emerging economy companies in enhancing radical innovation performance. Moreover, it offers theoretical guidance for multinational companies aiming to foster innovation breakthroughs.