Journal of Engineering and Technology Management最新文献

{"title":"When algorithms become travel planners: Benchmarking Agentic Ai in Web 3.0 Tourism","authors":"Samiha CHEMLI ,&nbsp;Alessandra VITALE ,&nbsp;Shekhar ,&nbsp;Marco VALERI","doi":"10.1016/j.jengtecman.2026.101959","DOIUrl":"10.1016/j.jengtecman.2026.101959","url":null,"abstract":"<div><div>This study aims to examine how an agentic AI (aAI) system performs as an autonomous travel planner compared to generative AI (GenAI) and Web 2.0 platforms, in order to assess whether increasing autonomy enhances efficiency, sustainability, and personalisation or merely amplifies bias and opacity. The research adopts a comparative performance analysis conducted across five travel scenarios, using identical input data for all three systems to ensure methodological consistency. The results show that the AI produces the most feasible, verifiable, and context-aware itineraries, outperforming the other systems in cost optimisation, time efficiency, sustainability, and constraint handling. By providing an empirical benchmark, this study extends existing research that has largely remained theoretical, offering practical insights into AI-mediated tourism planning. The findings also highlight key policy implications: the need for closer collaboration between public and private stakeholders, and for policymakers to enhance the accessibility and machine readability of business data, especially that of small enterprises and local providers, to foster inclusion in AI-driven travel recommendations and reduce the dominance of more visible actors.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"80 ","pages":"Article 101959"},"PeriodicalIF":3.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147656953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Translating front-end supplier involvement orientation into firm innovation capability: The mediating role of outward-looking organizational practices","authors":"Felix Homfeldt,&nbsp;Alexandra Rese","doi":"10.1016/j.jengtecman.2026.101961","DOIUrl":"10.1016/j.jengtecman.2026.101961","url":null,"abstract":"<div><div>In recent years, supplier involvement in the innovation processes of focal firms has evolved from a minor activity into a major element of company strategy. There has been a steady increase in supplier responsibility for development, leading to a shift in the supply base from purely delivering products to providing unmatched expertise from the very beginning. We regard this phenomenon as the motive force behind our study. Our aim is to investigate the consequent effects of orienting towards supplier involvement in the fuzzy front end (FFE), as well as purchasing and supply management (PSM) practices, on a focal firm’s innovation capability. We drew on the capability-based transactions theory, which looks at bounded innovation capabilities that are complemented by transactions. Data from 206 automotive firms and structural equation modeling (SEM) show that supplier involvement orientation in the FFE has a stronger positive impact on incremental innovation capability. In addition, we find significant effects regarding several PSM practices. Cooperation with non-value-chain partners supports both radical and incremental innovation. More PSM practices positively affect radical innovation – for example, early purchasing involvement and non-monetary incentives. The results generate advances for the capability-based transactions theory. For scholars, the differences between radical and incremental innovation capabilities are of interest while, for practitioners, the selection of good PSM practices in the FFE is an important concern.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"80 ","pages":"Article 101961"},"PeriodicalIF":3.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147709761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing knowledge for innovation: The power of sharing and culture in modern organizations","authors":"Syed Asad Abbas Bokhari ,&nbsp;Sang Young Park","doi":"10.1016/j.jengtecman.2026.101963","DOIUrl":"10.1016/j.jengtecman.2026.101963","url":null,"abstract":"<div><div>This study addresses critical gaps in knowledge management research by examining how explicit and tacit knowledge sharing interact with organizational culture to drive innovation outcomes in Korean firms, a context where cultural dynamics remain underexplored. While prior studies have examined knowledge types independently, our research uniquely integrates the knowledge-based view with mediation-moderation analysis to reveal how: (1) knowledge sharing transforms individual knowledge into organizational innovation, and (2) organizational culture amplifies this process. Grounded in the knowledge-based view, we propose an integrated model where knowledge sharing mediates the tacit/explicit knowledge-innovation link, with culture as a moderator. Using PLS-SEM analysis of 476 responses from knowledge-intensive industries, this study found tacit knowledge exerted a stronger influence on innovation than explicit knowledge, with knowledge sharing mediating these relationships. Notably, organizational culture amplified the knowledge sharing-innovation link, revealing how collectivist norms enhance tacit knowledge transfer. The findings advance the field by: (a) empirically validating knowledge sharing as the missing link between knowledge types and innovation, and (b) providing culture-specific implementation frameworks for MNCs and SMEs.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"80 ","pages":"Article 101963"},"PeriodicalIF":3.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147709762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The antecedent configurations of digital transformation in manufacturing firms and their impacts on green innovation performance","authors":"Hedan Ma,&nbsp;Mingming Zhou,&nbsp;Yuxin Dong","doi":"10.1016/j.jengtecman.2026.101964","DOIUrl":"10.1016/j.jengtecman.2026.101964","url":null,"abstract":"<div><div>The digital and green transformation of manufacturing firms is an important measure in constructing a modern industrial system. However, manufacturing firms find it difficult to achieve digital transformation. The search for effective digital transformation paths and the promotion of green development through digitalization have become key for manufacturing firms. Under the technology-organization-environment (TOE) framework, this study analyzes a sample of Chinese listed manufacturing firms using fuzzy-set qualitative comparative analysis and propensity score matching to examine the configurational effects of six conditions (i.e., digital human capital, digital technology application, financial resource availability, top management risk appetite, government technical support, and regional digital environment) on firm digital transformation and the impacts of different configurations on green innovation performance. The results indicate that high-degree digital transformation arises from three distinct equivalent configurations: TOE dominated, technology-organization dominated and technology-environment dominated. Furthermore, these three configurations have differential effects on firm green innovation performance. The conclusions provide important empirical support and decision-making basis for the Chinese government to promote coordinated digital and green development and accelerate the manufacturing firms. The digital and green transformation of manufacturing firms is an important measure to boost high-quality economic and social development. However, it is difficult for manufacturing firms to achieve digital transformation. Under the TOE framework, fuzzy-set qualitative comparative analysis and propensity score matching were adopted in this study to analyze the sample of Chinese listed manufacturing firms, the results of this study indicate that high-degree digital transformation arises from 3 configurations. Furthermore, these 3 configurations have differential effects on firm green innovation performance. The corresponding conclusions provide important empirical support and decision-making basis for accelerate manufacturing firms’ development.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"80 ","pages":"Article 101964"},"PeriodicalIF":3.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147802373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From optimization to disruption: The role of AI-driven innovation in shaping firms’ market competitiveness","authors":"Jiawei Xu ,&nbsp;Baofeng Zhang ,&nbsp;Haohui Li ,&nbsp;Jianjun Lu ,&nbsp;Yubing Yu","doi":"10.1016/j.jengtecman.2026.101962","DOIUrl":"10.1016/j.jengtecman.2026.101962","url":null,"abstract":"<div><div>Firms increasingly invest in artificial intelligence(AI) to enhance market adaptability. Although prior research reveals AI’s optimization potential, whether AI-driven innovation generates disruption remains unclear. This study examines the mechanisms linking AI-driven innovation to market competitiveness. The regression results indicate that AI-driven radical innovation exerts a stronger effect than incremental innovation, highlighting a shift in the role of AI from optimization toward disruption. AI-driven innovation demonstrates stronger effects in concentrated, non–technology-intensive industries and operates through positive media attention, alleviated financial constraints, and reduced cost stickiness. Our findings imply that managers should balance AI-driven radical and incremental innovation portfolios with industry context.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"80 ","pages":"Article 101962"},"PeriodicalIF":3.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147656952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Navigating the paradox of openness: Inside-out and outside-in strategies for industry 5.0 readiness under turbulence","authors":"Swapan Ghosh ,&nbsp;Shikha Singh","doi":"10.1016/j.jengtecman.2026.101960","DOIUrl":"10.1016/j.jengtecman.2026.101960","url":null,"abstract":"<div><div>This study investigates how open innovation configures Industry 5.0 readiness in large manufacturing firms. We conceptualize Industry 5.0 readiness as a socio-technical dynamic capability, modeled as a second-order construct that integrates human, process, and technology capabilities using the People-Process-Technology (PPT) framework. Building on open innovation and contingency theory, we develop a moderated structural model in which inside-out open innovation (IO-OI) and outside-in open innovation (OI-OI) jointly shape Industry 5.0 readiness under varying levels of technological and market turbulence. We test the model using partial least squares structural equation modelling on survey data from 227 senior managers in 80 publicly listed U.S. manufacturing firms. The results indicate that IO-OI has a broad and sizeable positive association with Industry 5.0 readiness across all three PPT dimensions, whereas OI-OI has more selective effects, primarily strengthening technology capability and moderately enhancing process capability. Technological turbulence amplifies the positive effect of inside-out openness on readiness, while market turbulence does not systematically enhance the benefits of openness and may constrain them. The study advances knowledge by (i) providing an empirically validated, PPT-based operationalization of Industry 5.0 readiness as a dynamic capability, (ii) distinguishing the distinct mechanisms through which IO-OI and OI-OI develop socio-technical readiness, revealing asymmetric patterns not previously documented, and (iii) extending contingency theory by demonstrating that environmental turbulence operates conditionally rather than uniformly, with technological turbulence selectively enhancing IO-OI effects while market turbulence shows limited moderating influence. These findings challenge prevailing assumptions about the universality of openness strategies and the effects of turbulence in organizational transformation.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"80 ","pages":"Article 101960"},"PeriodicalIF":3.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147656954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The bright side of dark traits: CEO narcissism and corporate innovation excellence","authors":"Xue Lei,&nbsp;Xueguo Xu,&nbsp;Hetong Yuan","doi":"10.1016/j.jengtecman.2026.101946","DOIUrl":"10.1016/j.jengtecman.2026.101946","url":null,"abstract":"<div><div>How CEO personality traits shape breakthrough innovation remains insufficiently understood. Drawing on upper echelons theory, this study analyzes 8722 firm-year observations from Chinese A-share listed companies (2012–2022), measuring CEO narcissism through signature size. Results demonstrate that CEO narcissism positively influences breakthrough technological innovation through enhanced R&amp;D investment intensity and exploration into new technological domains. These effects strengthen in non-state enterprises and competitive industries, persisting during the COVID-19 pandemic. Our findings illuminate how executive traits translate into organizational innovation capabilities, offering insights for executive selection and innovation management.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"79 ","pages":"Article 101946"},"PeriodicalIF":3.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Underperformance duration and SMEs’ technology and market search: The moderating roles of firm risks and industrial munificence","authors":"Qingwen Bo ,&nbsp;Bo Zou ,&nbsp;Zhouyu Li ,&nbsp;Shufeng Xiao","doi":"10.1016/j.jengtecman.2026.101945","DOIUrl":"10.1016/j.jengtecman.2026.101945","url":null,"abstract":"<div><div>Based on the behavioral theory of the firm, we theoretically analyze how underperformance duration affects SMEs’ decisions to initiate technology search and market search for knowledge and how these relationships are moderated by firm risks and industrial munificence. Using data on 547 listed high-tech SMEs, we find that underperformance duration leads to a continuous decline in technology search and an inverted U-shaped relationship with market search. Firm risks and industrial munificence significantly moderate these relationships. This study deepens the understanding of SMEs’ search behaviors for problem-solving and contributes to search-related literature by integrating internal and external environmental factors.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"79 ","pages":"Article 101945"},"PeriodicalIF":3.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new model of dynamic relationships involving AI innovation intensity based on patents: Evidence from the semiconductor manufacturing industry","authors":"Yuwen Chen ,&nbsp;Cherng G. Ding","doi":"10.1016/j.jengtecman.2025.101937","DOIUrl":"10.1016/j.jengtecman.2025.101937","url":null,"abstract":"<div><div>As a core enabler of artificial intelligence (AI), the semiconductor manufacturing sector plays a pivotal role in shaping the trajectory of AI development. The rapid advancement of AI has driven technology-intensive firms to pursue continuous innovation and sustain competitive advantages. This study examines the dynamic relationship between the change in R&amp;D expenditure and the change in AI innovation intensity, and investigates how this relationship is moderated by the change in technological competence and the change in AI technological diversification. Using a longitudinal dataset of major global semiconductor manufacturing firms, we find that the change in R&amp;D expenditure does not directly affect the change in AI innovation intensity. However, an increase in technological competence strengthens the positive effect of R&amp;D expenditure change on AI innovation intensity change, whereas an increase in AI technological diversification weakens—and may even reverse—this effect. By integrating the resource-based view, dynamic capabilities lens, and transaction cost theory, this study provides new insights into how capability configuration and strategic alignment shape AI innovation outcomes. The managerial implications of these findings are also discussed.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"79 ","pages":"Article 101937"},"PeriodicalIF":3.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145841125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating responsible and sustainable innovation into new product development within the fast-moving consumer goods sector: Economic and environmental impacts","authors":"Sercan Ozcan ,&nbsp;Diego Vazquez-Brust ,&nbsp;Alessio Ishizaka ,&nbsp;Virginie Litaudon ,&nbsp;Yunes Mukri","doi":"10.1016/j.jengtecman.2026.101947","DOIUrl":"10.1016/j.jengtecman.2026.101947","url":null,"abstract":"<div><div>We examine the ways in which responsibility and sustainability are built into new product development, and the results of this integration, in the fast-moving consumer goods sector of the UK. This study is based on 84 structured interviews with managers and analyse the data using rough set theory, an approach that can reveal attribute importance and multiple decision configurations without distributional assumptions, and which is suitable for ordinal, manager-rated data. We find that attention to sustainability during the ideation stage is associated with stronger overall performance. Market uncertainty is the most consequential situational barrier to sustainability outcomes, and design cost constrains implementation during development. In terms of economic performance, outsourcing networks are the most influential source of ideas. Responsibility is most often addressed at the design and development stage, although earlier attention is linked to better results. This study advances a contingency view of new product development by distinguishing between short-term choice factors, such as selection criteria and design cost, and longer-term situation factors, for example uncertainty, and by mapping their influence across stages. For managers, we offer a stage-sensitive framework that indicates where to introduce sustainability and which partner networks to activate. To the best of our knowledge, this is the first study to map stage-based configurations that link responsible choices to both economic and sustainability outcomes in the fast-moving consumer goods sector of the UK using rough set theory.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"79 ","pages":"Article 101947"},"PeriodicalIF":3.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}