Journal of Product Innovation Management最新文献

{"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":"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":"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}

{"title":"The Role of Artificial Intelligence in the Ideation Process","authors":"Christian Pescher,&nbsp;Gerard J. Tellis","doi":"10.1111/jpim.12791","DOIUrl":"https://doi.org/10.1111/jpim.12791","url":null,"abstract":"<div>\u0000 \u0000 <p>The growth of Artificial Intelligence (AI) has important implications for business in general and innovation in particular. Ideation is the start of the innovation process. The authors review three fields of AI in ideation: identification and analysis of new opportunities, idea generation, and idea screening and idea selection. The results of the review are as follows. First, whereas in the past researchers highlighted the importance of industry characteristics and market stability, the authors now emphasize the importance of firm culture in driving innovation. AI will mediate this relationship. Second, across all stages, AI will improve efficiency, speed, and cost of ideation. Third, in opportunity identification, considerable progress has occurred in analyzing text and image; research on video and audio is relatively scarce. Fourth, in idea generation, AI increases the average creativity of ideas; however, the effect of AI on the generation of top ideas is conflicting. Fifth, AI assists very well in idea screening, but does not do a good job yet in idea selection. Sixth and most importantly, research remains in the early stages and will rapidly improve in the future. Thus, AI has the potential to radically transform ideation.</p>\u0000 </div>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"42 5","pages":"958-982"},"PeriodicalIF":8.0,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144869273","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":"Interaction design for open innovation platforms: A social exchange perspective","authors":"Anja Leckel,&nbsp;Krithika Randhawa,&nbsp;Frank T. Piller","doi":"10.1111/jpim.12787","DOIUrl":"https://doi.org/10.1111/jpim.12787","url":null,"abstract":"<p>We investigate the interaction design preferences of solution seekers and problem solvers on open innovation (crowdsourcing) platforms. Drawing on social exchange theory (SET), we hypothesize that seekers and solvers have different preferences for the configuration of four central interaction design features of a crowdsourcing platform: communication channels, collaboration options, selection of winning submissions, and feedback mechanisms. Based on a conjoint study with 842 respondents, we show conflicting preferences for the configuration of these features, but also find a surprisingly consistent “best” configuration that can balance the individual preferences of both seekers and solvers. In addition, we identify social trust, risk aversion, and the need for cognition as three personal characteristics of individuals in seeker organizations and solvers that influence their preferred configuration of platform design. Our findings help intermediaries operating a crowdsourcing platform to offer nuanced platform interactions that align how individuals in seeker organizations (e.g., project managers) and individual solvers create and capture value in crowdsourcing. Furthermore, we contribute to the micro-foundations of open innovation by proposing SET as a novel perspective to examine how the expectations and value drivers of all parties involved in a crowdsourcing project can be balanced.</p>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"42 4","pages":"641-678"},"PeriodicalIF":10.1,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpim.12787","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144191178","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":"Preparing a successful submission for JPIM","authors":"Luigi M. De Luca,&nbsp;Gerda Gemser,&nbsp;Minu Kumar,&nbsp;Ruby Lee","doi":"10.1111/jpim.12788","DOIUrl":"https://doi.org/10.1111/jpim.12788","url":null,"abstract":"","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"42 3","pages":"471-474"},"PeriodicalIF":10.1,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861575","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":"The contagious nature of pre-release consumer buzz: How observing other consumers' anticipation for a new product influences adoption","authors":"Timo Mandler,&nbsp;Ann-Kristin Kupfer,&nbsp;Thorsten Hennig-Thurau,&nbsp;Ricarda Schauerte,&nbsp;Gerrit P. Cziehso","doi":"10.1111/jpim.12785","DOIUrl":"https://doi.org/10.1111/jpim.12785","url":null,"abstract":"<p>Many launch strategies for new products now aim at building pre-release consumer buzz (PRCB), defined as consumers' collective expressions of anticipation for an upcoming product. While a positive association of PRCB with innovation success has been established, little is known about <i>how</i>, <i>under what conditions</i>, and <i>to what extent</i> PRCB influences consumers' adoption decisions. This research sheds light on these issues by investigating PRCB's contagious nature as one of the concept's defining characteristics. Drawing on herding theory, the authors develop a conceptual framework and provide comprehensive experimental evidence that consumers' exposure to PRCB for a new product triggers distinct psychological mechanisms that influence their own adoption decisions: PRCB-observing consumers exhibit both greater social attraction to the “buzz movement” (group-related evaluation) as well as more curiosity and higher quality expectations about the new product (product-related evaluation). Furthermore, these effects are particularly strong for consumers who are highly susceptible to social influence and for products with low popular appeal. The authors complement their consumer-level analysis with an illustrative market-level what-if analysis that approximates the financial consequences of PRCB's contagious effects. Results suggest that the financial impact of PRCB can be substantial but differs significantly across scenarios, depending on product type and consumer segment. These findings have important implications for the management of innovations before launch.</p>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"42 6","pages":"1044-1067"},"PeriodicalIF":8.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpim.12785","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145230709","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":"Managing digital transformation with blockchain: Distributed ledger innovation platforms","authors":"Nobuyuki Fukawa,&nbsp;Gregory J. Fisher","doi":"10.1111/jpim.12781","DOIUrl":"https://doi.org/10.1111/jpim.12781","url":null,"abstract":"<p>Realizing its overarching potential in achieving digital transformation, leading organizations, such as Air New Zealand, have recently employed blockchain technology to manage 3D printing innovation. Despite the potential benefits, including the key role of blockchain as a supporting technology in Industry 5.0, these applications of blockchain technology in 3D printing are still at a nascent stage in practice and mostly limited to producer innovation. Additionally, 3D printing and blockchain technologies are often independently revolutionizing value capture and value creation, whereas the theoretical implications of their combined impacts on innovation management remain an underexplored domain. Limited digital transformation efforts have been made to employ blockchain technology to create a synergy between producer innovation and community innovation in relation to 3D printing innovation. To solve these issues, we introduce a novel concept, <i>distributed ledger innovation platform</i> (DLIP), which refers to a network of firms and individuals that create and capture value on a blockchain through digital transformation efforts. In this research, we draw upon transaction cost and social production theories to investigate the potential benefits of blockchain to solve the digital transformation challenges associated with 3D printing innovation. We utilize these perspectives to propose the concept of DLIP as a new governance structure for managing digital transformation activities with blockchain. Additionally, we examine illustrative digital transformation efforts via 3D printing innovation and applications of blockchain technology. Then, we present future research directions for innovation management scholars to investigate the benefits of DLIP in digital transformation efforts via 3D printing. We conclude by discussing the potential applications of DLIP to manage other enabling technologies of digital transformation, including big data, artificial intelligence, and the metaverse.</p>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"42 4","pages":"766-788"},"PeriodicalIF":10.1,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144191123","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}