Journal of Knowledge Management最新文献

Purpose

This study aims to examine new product development (NPD) performance to identify effective knowledge update strategies and assess the impact of environmental uncertainty on these dynamics. It aims to understand how different knowledge potentials and organizational routines interact to enhance product outcomes. The specific subsidiary context enriches understanding by identifying challenges and opportunities that are not typically visible in broader organizational studies.

Design/methodology/approach

A survey of 310 business managers was conducted to measure their knowledge potential and organizational routine updating. The hypotheses were tested using hierarchical regression analysis to determine the optimal combinations of knowledge and practice updates for NPD performance.

Findings

Results indicate that both knowledge potential and organizational routine updating significantly enhance subsidiary performance. Specifically, knowledge accumulation paired with routine creation and knowledge difference paired with routine revision optimally boosts product development. Moreover, this study reveals an inverted U-shaped relationship between environmental uncertainty and the effectiveness of these combinations, suggesting a complex interplay that affects NPD performance.

Originality/value

This study enhances understanding of NPD performance by integrating resource concordance theory with empirical analysis of knowledge and organizational strategy adaptations. It underscores the moderating role of environmental uncertainty, offering new theoretical insights into enhancing product development performance. Although the focus on subsidiaries limits broader applicability, it provides valuable insights into the nuanced NPD dynamics in these specific entities, suggesting avenues for future research to expand this study’s findings across different organizational types.

Purpose

Given the evolution that knowledge management (KM) has undergone since the advent of the digital transition, the purpose of this paper is to evaluate how KM processes have changed as a result of agile organisations’ adoption of digital technologies.

Design/methodology/approach

Years have passed since the onset of the fourth industrial revolution, and the technologies unique to this revolution have permeated every organisation to varying degrees. Whether organisations have been at the forefront of technological innovation or have had to adapt to much more advanced digitised processes, they have had to change how they manage operations internally and with the remainder of the supply chain they serve. These changes have been much more significant for agile organisations, which rely heavily on digital systems and have strong supplier and customer interactions. Due to the large amount of data generated, these organisations are referred to as knowledge-intensive businesses, and as a result, their KM processes are of the utmost importance. For this reason, a multiple case study with a grounded theory approach has been implemented to carry out a field analysis.

Findings

The results show that Industry 4.0 technological advances can be included in the scientific debate on KM and agile innovation, given the effects that such technologies have on organisations.

Originality/value

In today’s increasingly connected world, these findings have the potential to generate significant economic value by improving coordination and collaboration in KM processes.

Purpose

This study aims to investigate international students’ experiences through a lens of knowledge management perspective, emphasizing their strategies for knowledge management in tandem with cultural adaptation. The primary objective is to elucidate how international students navigate cultural differences and use knowledge management strategies to augment their learning and integration, thereby supporting their academic progress in a new academic environment.

Design/methodology/approach

An in-depth qualitative research strategy was used, using semistructured interviews with Pakistani doctoral students who were studying in Australia. A thematic analysis was conducted to identify recurring themes and patterns in the data.

Findings

The findings reveal that international students adeptly adopt various knowledge management strategies to facilitate cultural adaptation. These strategies encompass embracing otherness through a sense of belonging, engaging in both personal and shared learning experiences, achieving individual success, and using critical inquiry as a guiding framework for observations. Notably, this study underscores the pivotal role played by cultural competence in conjunction with social networks, influencing cultural intelligence and, subsequently, impacting knowledge sharing and integration for academic progress.

Practical implications

This study’s findings provide practical insights for higher education institutions and policymakers, emphasizing the importance of supporting international students in their cultural adaptation and knowledge management endeavors. These practical implications encompass fostering a welcoming and inclusive environment, supporting intercultural engagement, using technology for enhanced learning and communication and promoting the development of cultural intelligence among international students.

Originality/value

This study contributes to the literature on international student experiences and knowledge management by providing insights into the strategies used by international students to navigate knowledge of cultural differences to enhance their learning experiences and advance academic progress. These findings contribute to a deeper understanding of the intersection between cultural adaptation and core knowledge management concepts of knowledge sharing and integration in the context of higher education.

Purpose

This paper aims to provide empirical evidence on adopting artificial intelligence (AI), including generative AI, in knowledge management (KM) processes and its impact on organisational decision-making. Specifically, the study addresses three key research questions: RQ1: How is (generative) AI adopted within KM processes in organisations? RQ2: What factors influence the adoption of AI in these processes, either facilitating or inhibiting it? RQ3: How does AI adoption in KM processes affect organisational decision-making?

Design/methodology/approach

An explorative investigation has been conducted through semi-structured interviews with KM and AI experts from a worldwide sample of 52 mostly private, large and for-profit organisations. Interviews have been analysed through a mixed thematic analysis.

Findings

The study provides an original framework in which the three investigated concepts are interconnected according to a dual relationship: linear and retroactive and 20 factors affecting AI adoption within KM processes.

Practical implications

The provided model guides managers in improving their organisational decision-making through AI adoption in KM processes. Moreover, according to the rational decision-making model, the authors propose a six-step systematic procedure for managers.

Originality/value

To the best of the authors’ knowledge, this is the first study that simultaneously addresses AI, KM and decision-making and provides an integrated framework showing the relationships between them, allowing organisations to better and practically understand how to ameliorate their decision-making through AI adoption in KM processes.

Purpose

Drawing on the reciprocity principle of social exchange theory situated within Service-dominant Logic, this study aims to examine how customers’ perception of knowledge sharing in co-production, their inherent scepticism and prosocial orientation relate to their willingness to co-create and provide feedback on services. The authors also explored the interplay between these factors to identify conditions in configurations comprising scepticism, which may help navigate its adverse effects.

Design/methodology/approach

The authors surveyed 556 online and offline mobile payment service users. They used a combination of partial least squares structural equation modelling (PLS-SEM) to assess the relationships among variables, and fuzzy-set qualitative comparative analysis (fsQCA) to identify configurations associated with feedback behaviour.

Findings

The study determined that customer perception of co-production knowledge sharing is positively associated with willingness to co-create and feedback behaviour. Additionally, prosocial orientation positively affects this relationship, while scepticism has an adverse effect. Willingness to co-create mediates the relationship between customer perception of co-production knowledge sharing and feedback behaviour. The fsQCA findings revealed configurations for potentially navigating doubts regarding feedback. To encourage valuable customer feedback, businesses may consider promoting a collaborative and supportive atmosphere, emphasising shared advantages or building trust even among hesitant and doubtful individuals.

Originality/value

This study uniquely examines how both prosocial tendencies and scepticism relate to customer feedback behaviour in co-creation by using a hybrid PLS-SEM/fsQCA approach to identify co-existing conditions in configurations comprising scepticism that may help navigate its adverse effects and leverage customer feedback for business improvement.

Purpose

This research paper explores how grassroots innovation initiatives address and resolve the challenges of translating broad and inviting values such as sustainability, inclusiveness and aesthetics into practical and actionable structures. This study examines the tensions and difficulties projects face in operationalizing these values, revealing the gap between idealistic goals and real-world implementation. Moreover, this paper analyzes how role expectations and the concept of invitation ambiguity affect top down and bottom up approaches, offering insights for improving mechanisms to support grassroots innovations.

Design/methodology/approach

This study uses an exploratory qualitative methodology with an embedded case study design, focusing on the New European Bauhaus (NEB) and its award-winning projects. Data were collected through online self-assessment surveys, secondary data analysis, and semi-structured interviews with project owners and NEB Unit representatives.

Findings

The findings reveal significant challenges in translating broad and inviting values (sustainability, inclusion and aesthetics) into actionable outcomes for grassroots projects. Key issues include the need for clearer role definitions, tailored support, and adaptability. Conflicts between those values and a mismatch between expectations about stakeholders’ contributions highlight the need for designing more flexible and robust frameworks and robust frameworks.

Originality/value

This research explores the effects of invitational ambiguity within grassroots innovation, revealing how broad values ‐ like sustainability, inclusion and aesthetics ‐ are operationalized in real-world settings. By applying collective action theoretical frameworks to the unique case study of NEB projects, this study provides fresh insights into the dynamics between top-down European policies and bottom-up grassroots practices.

Purpose

This study aims to empirically investigate how knowledge paradox affects collaboration performance. Knowledge paradox, which arises from the simultaneous need for knowledge sharing and protection, is common in interorganizational collaboration. Using the ambidexterity perspective, this paper aims to reexamine the effect of the knowledge paradox on collaborative performance to explore the moderating roles of structural and contextual ambidexterity.

Design/methodology/approach

This study used a sample of 153 firms involved in vertical and horizontal collaboration, collected via questionnaires. Hypotheses were tested using hierarchical regression analysis.

Findings

This study demonstrates that the stronger the knowledge paradox is, the higher the potential for value creation. Thus, knowledge paradox has a positive impact on collaborative performance. The functions of structural ambidexterity and contextual ambidexterity strengthen this positive relationship.

Originality/value

This paper not only expands the theoretical application of the knowledge paradox and ambidexterity theory in the context of interorganizational relationships but also provides significant managerial implications. By comprehending the dynamics of the knowledge paradox and the role of ambidexterity, managers can make well-informed decisions to enhance their collaborative performance.

Purpose

In today’s swiftly evolving and intensely competitive business landscape, organisations increasingly recognise the significance of cross-border collaborative partnerships. International Strategic Alliances (ISAs) have emerged as effective platforms to foster innovation and gain a competitive advantage. Within the context of the hotel industry, which epitomises international operations, this study aims to investigate the pivotal role of knowledge transfer (KT) in the performance of ISAs.

Design/methodology/approach

The research framework draws on the influence of technological drivers (TD), organisational drivers (OD) and individual drivers (ID) on successful KT within ISAs. By analysing data from managers and owners of international hotel businesses using Confirmatory Factor Analysis (CFA), this study empirically examines the relationships between these drivers and KT dynamics.

Findings

Findings highlight the direct impact of these drivers on KT and subsequent alliance performance. However, among these drivers, factors related to TDs, such as Web 2.0, knowledge management systems and IT infrastructure, generally received the highest values.

Originality/value

This study contributes to international business and knowledge management and sheds light on the intricate interactions between the drivers of KT and ISAs. The insights derived from this study provide a foundation for enhancing strategic alliance practices in a global context. By embracing KT mechanisms, organisations can harness collaborative potential, drive innovation and achieve sustainable growth.

Purpose

The relevance of digital technology and knowledge management (KM) has been increasing continuously owing to their importance in sustainability. However, research on which technology leads to collaboration in KM and how it affects sustainability is lacking. Therefore, this study aims to analyze knowledge collaboration management technologies for sustainable growth based on academic literature and technology patents.

Design/methodology/approach

This paper analyzed current technology and academic trends in KM using BERTopic, an artificial intelligence natural language processing model, and proposed future promising candidate technologies and potential application areas in terms of collaboration and sustainability.

Findings

From the textual data of research papers and patents, this paper extracted 10 and 47 major topics, respectively. Moreover, five potential and feasible candidate patents along with their applicable fields were recommended.

Originality/value

The strength of this study is its analysis of the technologies affecting collaboration and sustainability in KM. This paper found that new digital technologies (i.e. artificial intelligence, cloud computing and big data) impact organizations’ KM and have the potential for collaboration. Digital technologies have a positive impact on corporate smartness directly and sustainability and inclusion indirectly. This paper argued that organizations should understand and identify various promising technological factors and apply them to their KM from a collaboration perspective.