Journal of Knowledge Management最新文献

{"title":"Enhancing organizational sustainable performance through green innovation: the roles of knowledge application, government policy, and green market orientation","authors":"Ngan Thi Thanh Nguyen, Phuong Van Nguyen, Demetris Vrontis, Ngan Thi Thanh Vo","doi":"10.1108/jkm-06-2024-0688","DOIUrl":"https://doi.org/10.1108/jkm-06-2024-0688","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study aims to investigate the influence of knowledge application, government policy and green market orientation (GMO) on organizational sustainable performance in Vietnam, with a particular focus on the mediating role of green innovation in these relationships.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Data were collected from 253 Vietnamese organizations using purposive random sampling and manager-administered questionnaires. The analysis was conducted using partial least squares structural equation modeling.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The findings underscore the critical role of government policy in facilitating green innovation and enhancing the sustainable performance of organizations. While knowledge application and GMO are important drivers of green innovation, their direct impact on sustainable performance is not significant. Furthermore, the study confirms the mediating role of green innovation in bridging these relationships.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>The study offers critical insights for policymakers and organizational leaders in emerging markets like Vietnam, demonstrating that strategic investments in knowledge application, green innovation and alignment with GMO and government policies can substantially enhance sustainable performance.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This research extends the resource-based view and institutional theory by identifying key determinants of sustainable organizational performance. It underscores the pivotal role of knowledge application, GMO and government policy in promoting sustainable performance through the facilitation of green innovation.</p><!--/ Abstract__block -->","PeriodicalId":48368,"journal":{"name":"Journal of Knowledge Management","volume":"22 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142832230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Past, present and future of AI in marketing and knowledge management","authors":"Reza Marvi, Pantea Foroudi, Maria Teresa Cuomo","doi":"10.1108/jkm-07-2023-0634","DOIUrl":"https://doi.org/10.1108/jkm-07-2023-0634","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This paper aims to explore the intersection of artificial intelligence (AI) and marketing within the context of knowledge management (KM). It investigates how AI technologies facilitate data-driven decision-making, enhance business communication, improve customer personalization, optimize marketing campaigns and boost overall marketing effectiveness.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>This study uses a quantitative and systematic approach, integrating citation analysis, text mining and co-citation analysis to examine foundational research areas and the evolution of AI in marketing. This comprehensive analysis addresses the current gap in empirical investigations of AI’s influence on marketing and its future developments.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>This study identifies three main perspectives that have shaped the foundation of AI in marketing: proxy, tool and ensemble views. It develops a managerially relevant conceptual framework that outlines future research directions and expands the boundaries of AI and marketing literature within the KM landscape.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This research proposes a conceptual model that integrates AI and marketing within the KM context, offering new research trajectories. This study provides a holistic view of how AI can enhance knowledge sharing, strategic planning and decision-making in marketing.</p><!--/ Abstract__block -->","PeriodicalId":48368,"journal":{"name":"Journal of Knowledge Management","volume":"22 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovation capability and R&D performance of organizations: moderating role of industry–academic knowledge transfer","authors":"Vinod Kumar, Sachin Kumar, Ranjan Chaudhuri, Sheshadri Chatterjee, Demetris Vrontis, Saeedeh Rezaee Vessal","doi":"10.1108/jkm-02-2024-0175","DOIUrl":"https://doi.org/10.1108/jkm-02-2024-0175","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study aims to examine how an organization’s innovation capability could influence research and development (R&amp;D) performance. It also investigates if industry–academic knowledge transfer has a moderating relationship between organizational innovation capability and exploration and exploitative innovation in improving the R&amp;D performance of the organizations.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Based on the literature and dynamic capability view, a conceptual model was developed and then validated using the partial least squares-structural equation modeling technique considering 387 responses from academicians and industry personnel.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The study found that industry–academic knowledge transfer has a significant moderating impact toward improving innovation capability, organizations’ R&amp;D performance and exploration innovation. However, it has an insignificant moderating impact on improving innovation capability and exploitative innovation.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>Organizational innovation capability is characterized by both exploratory and exploitative innovation. Both types of innovation support the R&amp;D performance of an organization. Also, organizations that closely work with academic institutions could gain significant R&amp;D knowledge from academic expertise. This study provides food for thought for the academic community as well as industry policymakers.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>There are significant opportunities for academic institutions to gain practical knowledge from industry which can help them to accelerate their R&amp;D activities. However, transferring knowledge between industry and academia has challenges related to intellectual property, patents and so on. Not much research has been conducted in this area. Thus, the proposed research model is unique and adds to the existing literature.</p><!--/ Abstract__block -->","PeriodicalId":48368,"journal":{"name":"Journal of Knowledge Management","volume":"13 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A study of c-suite leaders’ individualistic and collectivistic decision-making styles: elaborating on leaders’ efficacy during crises","authors":"Anjali Bansal, Damini Saini, Muhammad Zafar Yaqub, Pragya Gupta","doi":"10.1108/jkm-03-2024-0368","DOIUrl":"https://doi.org/10.1108/jkm-03-2024-0368","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study investigated leaders’ decision-making during crises. Using grounded theory research, we explored whether leaders’ use of either individualistic or collectivistic decision-making styles is based on the context of a crisis. In addition, the authors looked into the components of building leaders’ efficacy during a crisis event and gauged their attitudinal and behavioral reactions to the crisis.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>The authors conducted interviews with 30 C-suite executives during the first wave of the COVID-19 pandemic to determine their responses to crises. The authors then used open, axial, and selective coding to examine their data, which was then extracted for representative themes and overarching dimensions. In total, The authors received 12 major themes largely summarizing into 6 overarching dimensions – context of decision-making, leaders’ efficacy, individualistic approach to decision-making, collectivistic approach to decision-making, process of decision-making, and outcomes.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The research presents a decision-making framework clearly bifurcating situations with the need for individualistic and collectivistic decision-making. While, a high level of urgency and scarce resources encouraged leaders to adopt an individualistic approach in which most of the decisions were intuition-based and only high-level stakeholders were involved, the less time urgent and uncertain situation allowed leaders to put significant effort into building their own knowledge systems and involving others. In addition, leaders’ efficacy is understood in terms of their attitudes, readiness and reactions, which further elaborated upon their knowledge systems to allow them to excel in decision-making irrespective of the approaches they chose.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>The research has implications for leaders in the decision-making roles to be effective during both individualistic and collectivistic decision-making.</p><!--/ Abstract__block -->","PeriodicalId":48368,"journal":{"name":"Journal of Knowledge Management","volume":"37 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142796948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of knowledge attributes and life cycle on the evolution of emerging technology innovation network: a TERGM analysis","authors":"Yaqin Liu, Qian Yu, Jing Li","doi":"10.1108/jkm-06-2024-0696","DOIUrl":"https://doi.org/10.1108/jkm-06-2024-0696","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study aims to explore the factors influencing the evolution of emerging technology innovation network (ETIN) in combination with the key attributes and life cycle of emerging technologies, particularly the impact of multiple knowledge attributes and technology life cycle on the ETIN evolution.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>This study collects 5G patent data and their citation information from the Derwent Innovations Index to construct a 5G technology innovation network (5GIN) as a sample network and conducts an empirical analysis of the 5GIN using the temporal exponential random graph model (TERGM).</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The results indicate that during the 5GIN evolution, the network scale continues to expand and exhibits increasingly significant core-periphery structure, scale-free characteristic, small-world characteristic and community structure. Furthermore, the findings suggest that the multiple knowledge attributes based on the key attributes of emerging technologies, including knowledge novelty, coherence, growth and impact, have a significant positive influence on the ETIN evolution. Meanwhile, the temporal evolution of ETIN is also found to be correlated with the life cycle of emerging technologies.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study extends the exploration of emerging technology research from a complex network perspective, providing a more realistic explanatory framework for the factors influencing ETIN evolution. It further highlights the important role that multiple knowledge attributes and the technology life cycle play within this framework.</p><!--/ Abstract__block -->","PeriodicalId":48368,"journal":{"name":"Journal of Knowledge Management","volume":"24 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of fit between knowledge potential and organizational routine updating on subsidiaries’ new product development performance","authors":"Le Yan, Wei Li, Jiawen Hou, Shizheng Tan","doi":"10.1108/jkm-05-2024-0623","DOIUrl":"https://doi.org/10.1108/jkm-05-2024-0623","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>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.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>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.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>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.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>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.</p><!--/ Abstract__block -->","PeriodicalId":48368,"journal":{"name":"Journal of Knowledge Management","volume":"33 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge spillovers between R&D-driven incumbents and start-ups in open innovation: a systematic review and nomological network","authors":"Sonika Jha, Sriparna Basu","doi":"10.1108/jkm-05-2024-0563","DOIUrl":"https://doi.org/10.1108/jkm-05-2024-0563","url":null,"abstract":"&lt;h3&gt;Purpose&lt;/h3&gt;\u0000&lt;p&gt;This study aims to examine the combinations of internal and external knowledge flows between research and development (R&amp;D) incumbents and start-ups in the context of open innovation. While there is a growing body of knowledge that has examined how, in a knowledge economy, a firm’s knowledge and innovation activities are closely linked, there is no systematic review available of the key antecedents, perspectives, phenomenon and outcomes of knowledge spillovers.&lt;/p&gt;&lt;!--/ Abstract__block --&gt;\u0000&lt;h3&gt;Design/methodology/approach&lt;/h3&gt;\u0000&lt;p&gt;The authors have conducted dual-stage research. First, the authors conducted a systematic review of literature (97 research articles) by following the theories–contexts–methods framework and the antecedent-phenomenon-outcomes logic. The authors identified the key theories, contexts, methods, antecedents, phenomenon and outcomes of knowledge spillovers between R&amp;D-driven incumbents and start-ups in the open innovation context. In the second stage, the findings of stage one were leveraged to advance a nomological network that depicts the strength of the relationship between the observable constructs that emerged from the review.&lt;/p&gt;&lt;!--/ Abstract__block --&gt;\u0000&lt;h3&gt;Findings&lt;/h3&gt;\u0000&lt;p&gt;The findings demonstrate how knowledge spillovers can help incumbent organisations and start-ups to achieve improved innovation capabilities, R&amp;D capacity, competitive advantage and the creation of knowledge ecosystems leading to improved firm performance. This study has important implications for practitioners and managers – it provides managers with important antecedents of knowledge spillover (knowledge capacities and knowledge types), which directly impact the R&amp;D intensity and digitalisation driving open innovation. The emerging network showed that the antecedents of knowledge spillovers have a direct relationship with the creation of a knowledge ecosystem orchestrated by incumbents and that there is a very strong influence of knowledge capacities and knowledge types on the selection of external knowledge partners/sources.&lt;/p&gt;&lt;!--/ Abstract__block --&gt;\u0000&lt;h3&gt;Practical implications&lt;/h3&gt;\u0000&lt;p&gt;This study has important implications for practitioners and managers. In particular, it provides managers with important antecedents of knowledge spillover (knowledge capacities and knowledge types), which directly impact the R&amp;D intensity and digitalisation driving open innovation. This will enable managers to take important decisions about what knowledge capacities are required to achieve innovation outcomes. The findings suggest that managers of incumbent firms should be cautious when deciding to invest in knowledge sourcing from external partners. This choice may be driven by the absorptive capacity of the incumbent firm, market competition, protection of intellectual property and public policy supporting innovation and entrepreneurship.&lt;/p&gt;&lt;!--/ Abstract__block --&gt;\u0000&lt;h3&gt;Originality/value&lt;/h3&gt;\u0000&lt;p&gt;Identification of the key","PeriodicalId":48368,"journal":{"name":"Journal of Knowledge Management","volume":"251 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital knowledge management in agile self-tuning organisations: a multiple case study","authors":"Piera Centobelli, Roberto Cerchione, Eugenio Oropallo, Armando Papa, Stefano Palermo","doi":"10.1108/jkm-04-2024-0460","DOIUrl":"https://doi.org/10.1108/jkm-04-2024-0460","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>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.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>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.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>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.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>In today’s increasingly connected world, these findings have the potential to generate significant economic value by improving coordination and collaboration in KM processes.</p><!--/ Abstract__block -->","PeriodicalId":48368,"journal":{"name":"Journal of Knowledge Management","volume":"12 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unleashing cultural diversity knowledge for improved knowledge sharing and integration: an in-depth qualitative analysis","authors":"Yasir Latif, Neil Harrison, Hye-Eun Chu, Ashish Malik, Mai Nguyen","doi":"10.1108/jkm-08-2023-0755","DOIUrl":"https://doi.org/10.1108/jkm-08-2023-0755","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>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.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>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.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>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.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>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.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>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.</p><!--/ Abstract__block -->","PeriodicalId":48368,"journal":{"name":"Journal of Knowledge Management","volume":"12 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-empowered KM processes for decision-making: empirical evidence from worldwide organisations","authors":"Luna Leoni, Ginetta Gueli, Marco Ardolino, Mateus Panizzon, Shivam Gupta","doi":"10.1108/jkm-03-2024-0262","DOIUrl":"https://doi.org/10.1108/jkm-03-2024-0262","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>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: <em>RQ1:</em> How is (generative) AI adopted within KM processes in organisations? <em>RQ2:</em> 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?</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>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.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>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.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>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.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>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.</p><!--/ Abstract__block -->","PeriodicalId":48368,"journal":{"name":"Journal of Knowledge Management","volume":"174 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}