Journal of Product Innovation Management最新文献

{"title":"Strategic AI Orientation and Technological Innovation: Evidence From Managerial Insights and Panel Data","authors":"Ann-Katrin Eicke,&nbsp;Christopher Albert Sabel,&nbsp;Stephan Nüesch","doi":"10.1111/jpim.70001","DOIUrl":"https://doi.org/10.1111/jpim.70001","url":null,"abstract":"<p>Artificial intelligence (AI) is disrupting innovation. However, our understanding of firm-level consequences remains limited. While firms are starting to develop a strategic AI orientation (i.e., goals and strategic directions), we neither know how firms establish a strategic AI orientation nor whether it suffices to increase firms' technological innovation. We explore these questions in two studies. In Study I, we conduct 42 interviews with AI managers in large firms. Using the attention-based view to structure the qualitative insights, we build deductive hypotheses on the relationship between AI orientation and technological innovation. Study II tests our hypotheses quantitatively, using natural language processing to develop a text-based measure of firms' strategic AI orientation. Applying this measure to S&amp;P 500 firms between 2012 and 2021, we find that strategic AI orientation relates positively to firms' technological innovation, also across technology domains. CEOs' IT-related education strengthens this link. These insights contribute to AI-innovation research. First, we validate and refine the construct <i>strategic AI orientation</i> and its mechanism that links it to technological innovation. Second, we establish a positive AI-innovation relationship from a strategic perspective, enhancing the external validity of research in this domain. Overall, this article offers a starting point for strategic AI research.</p>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"43 2","pages":"262-289"},"PeriodicalIF":8.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpim.70001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146193534","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":"Strategic AI Orientation and Technological Innovation: Evidence From Managerial Insights and Panel Data","authors":"Ann-Katrin Eicke,&nbsp;Christopher Albert Sabel,&nbsp;Stephan Nüesch","doi":"10.1111/jpim.70001","DOIUrl":"https://doi.org/10.1111/jpim.70001","url":null,"abstract":"<p>Artificial intelligence (AI) is disrupting innovation. However, our understanding of firm-level consequences remains limited. While firms are starting to develop a strategic AI orientation (i.e., goals and strategic directions), we neither know how firms establish a strategic AI orientation nor whether it suffices to increase firms' technological innovation. We explore these questions in two studies. In Study I, we conduct 42 interviews with AI managers in large firms. Using the attention-based view to structure the qualitative insights, we build deductive hypotheses on the relationship between AI orientation and technological innovation. Study II tests our hypotheses quantitatively, using natural language processing to develop a text-based measure of firms' strategic AI orientation. Applying this measure to S&amp;P 500 firms between 2012 and 2021, we find that strategic AI orientation relates positively to firms' technological innovation, also across technology domains. CEOs' IT-related education strengthens this link. These insights contribute to AI-innovation research. First, we validate and refine the construct <i>strategic AI orientation</i> and its mechanism that links it to technological innovation. Second, we establish a positive AI-innovation relationship from a strategic perspective, enhancing the external validity of research in this domain. Overall, this article offers a starting point for strategic AI research.</p>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"43 2","pages":"262-289"},"PeriodicalIF":8.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpim.70001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146193533","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":"A Brave New World: The Impact of Technology on Innovation Management","authors":"Dhruv Grewal,&nbsp;Praveen K. Kopalle,&nbsp;Dominik Mahr","doi":"10.1111/jpim.70000","DOIUrl":"https://doi.org/10.1111/jpim.70000","url":null,"abstract":"<div>\u0000 \u0000 <p>This special issue—focused on the transformative impact of emerging technologies (e.g., artificial intelligence, Internet of Things, service robots, blockchain) on innovation management—identifies the ways that firms are rethinking how they generate ideas, develop products, and engage with stakeholders across organizational and societal levels. The articles in this special issue span multiple domains, including ride-sharing, smart homes, health care, and digital communication. In addition, they demonstrate how new methods are reshaping new product development (NPD) processes. These contributions highlight how emerging technologies enable novel ideation through tools like large language models and topic modeling, as well as how they support agile, data-informed NPD and dynamic commercialization strategies. Leveraging these insights, this editorial proposes a conceptual framework that encompasses a simplified, three-step NPD process (ideation, development, and commercialization), along with key drivers of innovation and their implications for individuals, firms, society, and academia.</p>\u0000 </div>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"42 5","pages":"794-802"},"PeriodicalIF":8.0,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144869313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From the Editors: Looking Forward and Looking Back: Guidelines for the Catalyst and Review Articles in JPIM","authors":"Gerda Gemser,&nbsp;Luigi De Luca,&nbsp;Minu Kumar,&nbsp;Ruby Lee","doi":"10.1111/jpim.12802","DOIUrl":"https://doi.org/10.1111/jpim.12802","url":null,"abstract":"<p>Our first editorial (De Luca et al. <span>2025</span>) outlined new initiatives to further develop and grow the <i>Journal of Product Innovation Management</i> (JPIM). Two of those initiatives relate to the (further) development and promotion of different article formats compared to the regular manuscripts that can be submitted to JPIM: <i>Catalyst</i> and <i>Review</i> articles. In this short editorial, we would like to provide more information about these article categories for the benefit of both new and existing JPIM authors and readers.</p><p>The key intent of the <i>Catalyst</i> and <i>Review</i> articles is to provide different pathways through which authors can contribute state-of-the-art thinking to the journal and advance our knowledge of innovation management theory and practice in a timely manner (i.e., via a more direct and timely review process). These new initiatives contribute to the scholarly mission we set out as the new Co-Editors-in-Chief (Co-EiCs) to continue to strengthen JPIM's position as a global top-tier research journal for cutting-edge, interdisciplinary, socially impactful, and ethically conducted research in the field of innovation management (De Luca et al. <span>2025</span>).</p><p>First, we discuss the repositioning of the <i>Catalyst</i> category. The <i>Catalyst</i> article category was introduced in 2019 by former Co-EiCs Charles Noble and Jelena Spanjol (Noble and Spanjol <span>2019</span>). The ultimate aim of the <i>Catalyst</i> category has been and will remain to supplement traditional research articles by means of featuring carefully selected essays intended to inspire and stimulate new and leading-edge thinking on innovation management and to ensure the timely dissemination of this new thinking. <i>Catalyst</i> articles were envisioned as a platform for both scholars and experienced practitioners, thus calling for a dialogue among a plurality of voices inside and outside academia.</p><p>From the start of the initiative in 2019 (JPIM, Vol. 36, Issue 4) until the end of 2024, 15 <i>Catalyst</i> essays have been published, which, in total, have accumulated over 1800 citations (Google Scholar citations, June 2025). The topics covered are diverse and include, for example, how science fiction can support innovation (Michaud and Appio <span>2022</span>), the potential of AI for design (Verganti et al. <span>2020</span>) and new product development (Bouschery et al. <span>2023</span>), and how knowledge and experience by Indigenous and tribal peoples may redefine the innovation landscape (Vassallo et al. <span>2023</span>).</p><p>Considering the interest and impact of the published <i>Catalyst</i> papers as new Co-EiCs, we will continue with this category. In doing so, we reposition the <i>Catalyst</i> category by adding further emphasis on <i>novel thinking</i> as a necessary and distinguishing feature of these articles. With the <i>Catalyst</i> category, we aim to publish essays that are interesting and pro","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"42 5","pages":"791-793"},"PeriodicalIF":8.0,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpim.12802","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144870062","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":"Decentralization, Blockchain, Artificial Intelligence (AI): Challenges and Opportunities","authors":"Xiang Hui,&nbsp;Catherine Tucker","doi":"10.1111/jpim.12800","DOIUrl":"https://doi.org/10.1111/jpim.12800","url":null,"abstract":"<p>New technologies like blockchain allow firms to decentralize core functions, forcing managers to reconsider the trade-off between closed, proprietary control and open strategies that involve external contributors. While proponents often advocate for full decentralization, we argue this view overlooks important economic trade-offs. We propose that the better strategy is <i>selective decentralization</i>: a disciplined approach to choosing where to centralize for efficiency and where to decentralize for innovation. We propose a three-level framework—<i>Infrastructure</i>, <i>Decision-Making</i>, and <i>Operational Control</i>—to guide this choice, helping managers analyze the specific costs and benefits at each layer. We apply this framework to the strategic adoption of Artificial Intelligence (AI), where the technology's powerful pull toward centralization provides a stark test case. Our analysis shows that an “open source AI” strategy—decentralizing operations to foster innovation while keeping infrastructure centralized for efficiency—is more pragmatic than full decentralization. Selective decentralization therefore emerges as a key managerial capability for capturing blockchain's benefits without sacrificing scale efficiencies.</p>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"42 5","pages":"947-957"},"PeriodicalIF":8.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpim.12800","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144869145","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":"The Intrapreneur Identity Illusion: Unraveling the Identity Work of Intrapreneurs in Internal Corporate Venturing","authors":"Frederic-Alexander Starmann,&nbsp;Slawa Tomin,&nbsp;Sylvia Hubner-Benz,&nbsp;Rüdiger Kabst","doi":"10.1111/jpim.12798","DOIUrl":"10.1111/jpim.12798","url":null,"abstract":"<p>Intrapreneurs—employees participating in internal corporate venturing (ICV) programs—are vital in nurturing entrepreneurship within organizations. While existing literature has extensively studied ICV at the organizational level, research on individual-level processes remains limited, particularly regarding intrapreneurs' identity-related conflicts over time. However, to design programs and interventions that unlock employees' creative potential and promote innovation, it is crucial to understand these individual dynamics. We conducted an 18-month longitudinal study of 21 intrapreneurs within an ICV program, developing a process model and theory of intrapreneurs' identity work. We find that aspiring intrapreneurs construct an “idealized entrepreneur identity” that fundamentally conflicts with their employee identity. To maintain a coherent sense of self, they either safeguard their emerging entrepreneur identity by denying corporate dependence and eventually opposing the organization or they realign with their employee role, forsaking their intrapreneurial aspirations. These findings challenge the implicit assumption of a distinct intrapreneur identity, demonstrating how and why intrapreneurs struggle to construct a coherent and positively valued identity as intrapreneurs. We term this phenomenon the <i>intrapreneur identity illusion</i> and highlight its detrimental effects for both individuals and organizations. Our research contributes to understanding the individual-level foundations of corporate entrepreneurship and offers broader implications for innovation management.</p>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"43 2","pages":"313-340"},"PeriodicalIF":8.0,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpim.12798","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162779","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":"Not All Carrots—Some Sticks: The Impact of Overperformance Duration and Intensity on Firm Innovation","authors":"Xin Pan,&nbsp;Xuanjin Chen,&nbsp;Zhenzhen Xie,&nbsp;Hao Wang","doi":"10.1111/jpim.12797","DOIUrl":"https://doi.org/10.1111/jpim.12797","url":null,"abstract":"<div>\u0000 \u0000 <p>While previous studies have acknowledged the importance of underperformance duration in organizational responses, few conceptual or empirical efforts have been made to explore how overperformance duration shapes innovation strategies over time. Drawing on the behavioral theory of the firm (BTOF), this study argues that overperformance duration has a U-shaped relationship with exploratory innovation and an inverted U-shaped relationship with exploitative innovation. Additionally, the intensity of overperformance is investigated as a moderator that amplifies both nonlinear relationships. Using firm-level and patent data from 691 Chinese listed manufacturing firms between 2006 and 2018, empirical tests provide supporting evidence for these arguments. This study advances the current understanding of the BTOF by introducing and analyzing a temporal perspective on how positive performance deviations influence different types of innovation through performance feedback.</p>\u0000 </div>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"42 6","pages":"1089-1111"},"PeriodicalIF":8.0,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145230556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Empirical Study of AI Financial Advisor Adoption Through Technology Vulnerabilities in the Financial Context","authors":"Zi Wang,&nbsp;Ruizhi Yuan,&nbsp;Boying Li,&nbsp;V. Kumar,&nbsp;Ajay Kumar","doi":"10.1111/jpim.12795","DOIUrl":"https://doi.org/10.1111/jpim.12795","url":null,"abstract":"<p>Financial institutions are increasingly employing artificial intelligence (AI) solutions to optimize their financial advice and services for consumers. However, consumers have demonstrated reluctance toward adopting AI technology goods, and the intermediary psychological mechanism of adoption intention in the financial service context is unclear. Using the theoretical lens of technology affordances and constraints, this article proposes the concept of consumer technology vulnerability (CTV) as the mediating mechanism in the affordance–adoption process of AI financial advisors (AFAs). Meanwhile, consumer innovativeness and self-efficacy are investigated as individual traits that moderate perceptions and psychological impacts of AI affordances. Specifically, the study first conceptualizes AI affordances in a product innovation context by reviewing the burgeoning literature on AI to date. This is followed by a US-based survey (<i>N</i> = 616), which shows the positive indirect effects of information optimization, customizability, and human-likeness on AFA adoption intention through CTV. Self-efficacy and consumer innovativeness are found to enhance the positive effects of AI affordances on AFA adoption intention through CTV but diminish the impact of human-likeness on CTV. These findings highlight, for the first time, the mediating role of CTV in new technology adoption. This will help technology innovators and financial institutions to identify how consumers perceive and adopt different AI affordances, and therefore to better incorporate AI characteristics into financial product innovations.</p>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"43 1","pages":"14-30"},"PeriodicalIF":8.0,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpim.12795","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145730531","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":"AI Adoption in Family Firms: A Mixed-Methods Study on the Paradoxical Roles of Passive and Active Family Involvement","authors":"Jonas Soluk,&nbsp;Ivan Miroshnychenko,&nbsp;Satish Nambisan","doi":"10.1111/jpim.12789","DOIUrl":"https://doi.org/10.1111/jpim.12789","url":null,"abstract":"<p>Artificial intelligence (AI) technologies have gained significance for all types of firms, including family firms. However, unlike other business contexts, family firms face unique challenges in adopting complex and generative technologies, such as AI. This is particularly evident when examining the heterogeneous nature of family firms distinguished by passive (i.e., family ownership) and active (i.e., family management) family involvement. Specifically, we adopt a social capital perspective and combine inductive qualitative and deductive quantitative research into a mixed-methods design. In the first step, we conduct a multiple case study of eight firms using rich data from 125 interviews and archival documents. While the case evidence shows that strong external network ties with suppliers, customers, and competitors help overcome the challenges related to AI technologies, we reveal opposing impacts of passive and active family involvement. Interestingly, our qualitative insights emphasize a negative moderation effect for passive family ownership exacerbating the challenges of AI and a positive moderation effect for active family management facilitating AI adoption. In the second step, we conduct a quantitative test of this conceptual model. On the basis of large-scale data from 1444 firms, we find empirical support that increasing strengths of external network ties with suppliers, customers, and competitors drive AI adoption. Moreover, we find support for the opposing roles of passive family ownership as a negative moderator and active family management as a positive moderator in the relationship between supplier ties on the one hand and AI adoption on the other. Our study contributes toward a nuanced understanding of the idiosyncratic challenges of AI adoption faced by different types of family firms and the role of social capital in this regard and, more broadly, to research on innovation and technology adoption in family firms.</p>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"43 1","pages":"125-159"},"PeriodicalIF":8.0,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpim.12789","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145719501","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":"How Topic Modeling Can Spur Innovation Management","authors":"Martin Wetzels,&nbsp;Ruud Wetzels,&nbsp;Elisa Schweiger,&nbsp;Dhruv Grewal","doi":"10.1111/jpim.12790","DOIUrl":"https://doi.org/10.1111/jpim.12790","url":null,"abstract":"<p>The avalanche of available unstructured text data makes it ever more challenging for innovation practitioners (and academics) to extract meaningful insights from such data. Topic modeling can support these efforts and help spur innovation. The current study reviewed 1099 innovation management articles to identify and compare the most frequently used probabilistic topic modeling approaches for innovation. In an effort to contextualize the suitability of these approaches, we develop a framework to organize existing topic modeling applications along the different innovation stages (i.e., idea generation, development, and commercialization) and innovation research in general. By zooming in on the three innovation stages, the authors showcase how topic modeling can spur innovation within each stage and highlight the future potential of the specific approaches. To further assist in capturing the various dynamics in complex unstructured text datasets, we illustratively apply a tailored topic modeling configuration to 1444 <i>Journal of Product Innovation Management</i> articles (1984–2023) to identify emerging, stable, and mature topics, as well as looking at their respective impact. This demonstration could serve as a starting point or blueprint for innovation practitioners and researchers seeking to combine the advantages of several topic modeling approaches. We conclude by offering a future outlook, including a forward-looking research agenda. Taken together, our study offers guidance to and equips innovation practitioners and academics to design distinctive topic modeling procedures to best serve their intended purposes. If deployed appropriately, topic modeling helps users extract a wealth of unique, unprecedented insights from a continuously expanding source of data.</p>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"42 5","pages":"921-946"},"PeriodicalIF":8.0,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpim.12790","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144869204","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}