Journal of Innovation & Knowledge最新文献

{"title":"Altruistic leadership and its role in reducing knowledge hiding: the mediating effects of team learning and knowledge culture","authors":"","doi":"10.1016/j.jik.2024.100592","DOIUrl":"10.1016/j.jik.2024.100592","url":null,"abstract":"<div><div>Leadership can play an important role in knowledge hiding. This study investigated the unexplored impact of altruistic leadership (AL) on knowledge hiding by assessing the mediating role of team learning (TL) and knowledge culture (KC) in this relationship. Structural equation modeling was used to test 14 hypotheses based on primary data from 368 surveyed Slovakian companies representing diverse enterprises. Data were gathered from various companies spanning a range of industries, including manufacturing, education, wholesale and retail, construction, and information technology. Of these, 164 were from micro-enterprises, 114 were from small enterprises, 67 were from medium-sized enterprises, and 23 were from large enterprises. This article reveals how AL can mitigate the negative effects of knowledge hiding by supporting TL and cultivating a KC. These findings indicate that leaders who exhibit altruistic behavior positively influence TL, enhancing KC and reducing instances of knowledge hiding. The primary data tested in our model confirm that selfless leadership reduces knowledge hiding by encouraging TL and KC. This suggests that, when selecting team leaders, their level of altruism should be considered. The roles of TL and KC in promoting knowledge sharing within organizations and emphasizing the importance of team effectiveness and mutual communication are crucial. This study contributes to the existing literature by examining the direct impact of AL on knowledge-hiding behavior, demonstrating how AL promotes TL and a knowledge-sharing culture, thereby eliminating knowledge hiding, including the practical implications. Future qualitative studies and research extending to other locations could help deepen our understanding of these relationships and incorporate additional concepts and factors.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":null,"pages":null},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of history imprint on firm innovation strategies: The role of ownership type and information sharing","authors":"","doi":"10.1016/j.jik.2024.100608","DOIUrl":"10.1016/j.jik.2024.100608","url":null,"abstract":"<div><div>The impact of history and the use of firms’ past in theoretical models examining firm strategies have garnered increasing attention. Whether firms can benefit from their history imprints to facilitate innovation strategies is an increasingly important, yet under-researched, question. This study aims to fill this gap by examining the effects of history imprint on two distinct innovation strategies: exploitation and exploration. Drawing on the history-informed perspective and imprint theory, we investigate how firm- and strategic-level factors moderate these relationships. Using a survey of manufacturing firms in China and applying hierarchical multiple regressions, we find that, while history imprint positively influences exploitation, it negatively affects exploration. Interestingly, the positive impact of history imprint on exploitation is stronger for family firms, and information sharing attenuates the negative effect on exploration. These results underscore the importance of considering history in innovative decision-making and suggest that firms, particularly family-owned ones, should adopt specific practices to balance the benefits of their history imprints with the need for innovation.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":null,"pages":null},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Contribution of female inventors to technological collaboration between high-tech firms and university in close proximity: Effect of innovative firm's characteristics","authors":"","doi":"10.1016/j.jik.2024.100594","DOIUrl":"10.1016/j.jik.2024.100594","url":null,"abstract":"<div><div>Understanding the patterns of innovative technological collaboration between universities and clusters of high-tech firms, along with the involvement of female inventors, is crucial for both regional and national development. Here, we explore the technological collaboration between Silicon Fen (SF) firms and University of Cambridge (UoC) as a cluster of high-tech businesses and a main research university located in close proximity, respectively, focusing on the involvement of female inventors, based on the evaluation of join patent ownership, and examination of technological collaboration strength (<em>TCS</em>), with respect to the characteristics of firms such as age, size and sector. A quantitative bibliometric approach is utilised to analyse more than 93,000 patents generated by UoC and SF firms. According to the results obtained, smaller and older businesses exhibit greater collaboration bonds with the university, accommodating a greater proportion of collaborative female inventors. Pharma/Biotech sector of Silicon Fen has a greatest value of <em>TCS</em> (1.6 × 10^–2), and accommodates the greatest ratio of female inventors (20.8 %). Our findings suggest the need to encourage younger and larger businesses, and those beyond the Pharma/Biotech sector to involve more female inventors in their technological collaboration with university, given that university policies can have a positive impact in addressing the gender gap in technology and innovation. Theoretical and managerial implications of the results are discussed.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":null,"pages":null},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expanding knowledge on emotional dynamics and viewer engagement: The role of travel influencers on youtube","authors":"","doi":"10.1016/j.jik.2024.100616","DOIUrl":"10.1016/j.jik.2024.100616","url":null,"abstract":"<div><div>This study investigates how the discrete emotions expressed by travel influencers on YouTube influence viewer engagement, distinguishing between macro- and micro- influencers. Using text mining and machine learning techniques, 6,061 travel-related videos were analyzed. The results indicate that high-arousal negative emotions such as anger and disgust enhance engagement for macro-influencers but reduce engagement for micro- influencers. Conversely, low-arousal negative emotions, such as fear and sadness, increase engagement levels for micro-influencers, while decreasing them for macro-influencers. Positive emotions enhance engagement, particularly among micro-influencers. These insights can inform emotional strategies in influencer marketing.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":null,"pages":null},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards a conceptual framework for AI-driven anomaly detection in smart city IoT networks for enhanced cybersecurity","authors":"","doi":"10.1016/j.jik.2024.100601","DOIUrl":"10.1016/j.jik.2024.100601","url":null,"abstract":"<div><div>As smart cities advance, Internet of Things (IoT) devices present cybersecurity challenges that call for innovative solutions. This paper presents a conceptual model for using AI-enabled anomaly detection systems to identify anomalies and security threats in smart city IoT networks. The foundation is supported by the Complex Adaptive Systems (CAS) theory, Technology Acceptance Model (TAM), and Theory of Planned Behavior (TPB). In this framework, the importance of user engagement in ensuring effective AI-driven cybersecurity solutions is underlined with an emphasis on technological readiness and human interaction with AI. By fostering a security-conscious culture through continuous education and skills development, this research provides actionable insights for enhancing the resilience of smart cities against evolving cyber threats. The proposed framework lays the groundwork for future empirical studies and offers practical guidance for policymakers and urban planners dedicated to safeguarding the digital infrastructures of potentially tomorrow's cities – the smart cities.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":null,"pages":null},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data governance & quality management—Innovation and breakthroughs across different fields","authors":"","doi":"10.1016/j.jik.2024.100598","DOIUrl":"10.1016/j.jik.2024.100598","url":null,"abstract":"<div><div>In today's rapidly evolving digital landscape, the substantial advance and rapid growth of data presents companies and their operations with a set of opportunities from different sources that can profoundly impact their competitiveness and success. The literature suggests that data can be considered a hidden weapon that fosters decision-making while determining a company's success in a rapidly changing market. Data are also used to support most organizational activities and decisions. As a result, information, effective data governance, and technology utilization will play a significant role in controlling and maximizing the value of enterprises. This article conducts an extensive methodological and systematic review of the data governance field, covering its key concepts, frameworks, and maturity assessment models. Our goal is to establish the current baseline of knowledge in this field while providing differentiated and unique insights, namely by exploring the relationship between data governance, data assurance, and digital forensics. By analyzing the existing literature, we seek to identify critical practices, challenges, and opportunities for improvement within the data governance discipline while providing organizations, practitioners, and scientists with the necessary knowledge and tools to guide them in the practical definition and application of data governance initiatives.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":null,"pages":null},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142538566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the other side of innovative managerial decision-making: Emotions","authors":"","doi":"10.1016/j.jik.2024.100588","DOIUrl":"10.1016/j.jik.2024.100588","url":null,"abstract":"<div><div>The strict rational paradigm of neoclassical economic theory has resulted in limited exploration of emotions in managerial decision-making processes. This study attempts to address this gap by examining how emotions influence efficient managerial decision-making, generating a modern perspective for organizational theory beyond the existing theoretical paradigm. The concept of managerial decision-making is approached through three dependent variables: strategic planning, innovative crisis management, and pragmatism. This study analyzed the responses of 151 managers of small- and medium-sized firms in Greece collected during field research in 2023. Emotions are perceived as unique information that interacts with other factors, such as the conscious evaluation of inputs. The analysis of emotions was based on a modified understanding of the anthropological term of emotional culture. The findings demonstrate that emotional culture contributes to managerial decision-making. Influential variables included basic emotions, emotions that communicate motives, cultural values, fast and slow thinking, and demographics. These variables highlight the interaction of pure emotional and rational factors in managerial decision-making. This study provides insights into how “human-related” traits contribute to or affect decision-making processes. This interdisciplinary perspective has both micro- and macro-level implications. At the micro level, the study explores strategic management, managerial skills for effective decision-making—especially considering the rise of artificial intelligence—and modern perspectives of organizational theory based on behavioral economics. At the macro level, it offers insights into cumulative behavioral expressions and how emotion analysis could be used to understand cultures and stereotypes within societies. The study has implications for the relationship between policymaking and production structure.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":null,"pages":null},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing an assessment model for entrepreneurship ecosystems using Hierarchical Decision Model","authors":"","doi":"10.1016/j.jik.2024.100562","DOIUrl":"10.1016/j.jik.2024.100562","url":null,"abstract":"<div><div>Entrepreneurship is a crucial driver of economic growth, necessitating the development of effective entrepreneurial ecosystems. However, there are significant gaps in the literature regarding the structured assessment of these ecosystems. This study addresses three main research gaps: the lack of structured evaluation methods, the need for a comprehensive analysis of ecosystem challenges from various perspectives, and the identification of critical factors essential for ecosystem growth. To bridge these gaps, the research introduces the Hierarchical Decision Model (HDM) as a universal assessment framework that can be adapted to different cities for creating effective entrepreneurial environments. The research methodology involved formulating perspectives and criteria through literature reviews and expert interviews. These perspectives and criteria were validated by subject matter experts and quantified by other experts to assign relative weights to each. Desirability curves were developed to measure these criteria, scored by experts. The practical applicability of the HDM was demonstrated through a case study of Riyadh, showcasing the model's effectiveness in real-world scenarios. Key findings include the identification and ranking of twenty critical criteria across five main perspectives, along with the development of desirability curves for each criterion. This provides a practical, easy-to-implement evaluation tool for policymakers. The contributions of this research are multifaceted: it introduces HDM to the field of entrepreneurship ecosystem assessment, offers a practical model for ecosystem performance measurement, and presents a framework for policy improvements. Additionally, it highlights the importance of continuous model refinement and the inclusion of diverse case studies for broader validation. Future research should focus on expanding the model to include sub-models for different regions and stages of startups’ development, ensuring its ongoing relevance and applicability. The findings show the most effective factors (perspectives and criteria) in developing entrepreneurial ecosystems and provide a method to measure the level of each criterion without requiring deep knowledge of the methodology, making it easier to implement the model in any ecosystem with any experts. The research offers an explicit case study evaluation of Riyadh's entrepreneurial ecosystem and provides recommendations for improvement areas. This study contributes to the technology management body of knowledge, particularly in the context of entrepreneurship ecosystems, presenting a universal assessment model for measuring ecosystem performance in any city. It creates an evaluation and improvement framework for policymakers to develop entrepreneurial ecosystems in their cities, ensuring continuous relevance and practicality through ongoing refinement and diverse case study applications.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":null,"pages":null},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142538906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Configurations of resourceful and demanding attributes of organizational culture in US hotels: An innovative approach using topic modeling and fsQCA","authors":"","doi":"10.1016/j.jik.2024.100582","DOIUrl":"10.1016/j.jik.2024.100582","url":null,"abstract":"<div><div>This study distinguishes itself from existing organizational culture studies by investigating the relatively under-studied theoretical relationship between organizational culture and employer attractiveness. To capture the holistic nature of organizational culture theory, this study adopts configurational analysis, which contrasts resourceful cultural attributes (collaborative, employee development, and fair-compensation cultures) with demanding attributes (result-oriented, overworked, and job-insecurity cultures). This study proposes three configurational propositions of employer attractiveness and employs review-based topic modeling and fuzzy-set quality comparative analysis (fsQCA) to overcome the limitations of traditional survey-based measurement and regression analysis. For the empirical analysis, this study constructs an industry-wide dataset comprising 2209 quarterly samples from 157 hotels over six years, utilizing 54,889 employee reviews posted on Glassdoor in the United States. Topic modeling analysis adopting Latent Dirichlet Allocation extracts the probabilities of six cultural attributes. Finally, the fsQCA generates three groups of 13 configurations, leading to employer attractiveness: a fully resourced culture, a resourced and low-demanding culture, and a fairly compensated overwork culture. The findings confirm the core concepts of configurational analysis in contrast to regression analysis and present novel theoretical, methodological, and practical implications.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":null,"pages":null},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Foreign multinational global value chain participation and domestic innovation: Viewing GVCs inside-out and outside-in","authors":"","doi":"10.1016/j.jik.2024.100603","DOIUrl":"10.1016/j.jik.2024.100603","url":null,"abstract":"<div><div>Two questions persist regarding global value chains (GVCs): First, what are the strategies and pathways through which multinational enterprises (MNEs) integrate and navigate GVCs? Second, what are the characteristics of GVCs in which MNEs participate? An analysis of these questions leads to inside–out and outside–in perspectives on GVCs. The literature on MNEs mostly focuses on the quantity and quality of foreign direct investment rather than on the differences in MNEs’ production activities and structure of GVCs. This study examines the effects of MNEs’ participation in simple and complex GVCs on domestic innovation. We find that the positive effects are mainly driven by MNEs’ downstream participation in simple GVCs. The mechanism tests indicate that MNEs’ upstreamness within simple GVCs negatively affects domestic firms’ absorption capacity and internal R&amp;D and that within simple and complex GVCs negatively affects domestic firms’ export resilience.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":null,"pages":null},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}