Pub Date : 2025-10-01Epub Date: 2025-09-14DOI: 10.1016/j.jengtecman.2025.101911
Francesco Fasano , Chiara Bartoli , Francesco Cappa , Paolo Boccardelli
Advancements in information technologies have revolutionized business models (BMs), which are now increasingly based on digital platforms. The spread of Web3 has led to further development in this direction, giving rise to platform business models enabled by blockchain technology. At the same time, the advent of artificial intelligence (AI) has further expanded opportunities to innovate BMs. In this study we examine how the integration of AI influences BMs in blockchain-based platforms. We find that the integration of AI plays a key role in the three main dimensions of platform business models: value creation, value delivery, and value capture. We demonstrate, in particular, how AI enhances operational efficiency, strategic governance, and decision-making in Web3 platforms enabled by blockchains. Moreover, AI optimizes personalization, matching processes, and interactions in decentralized platforms. AI also fosters innovation in decentralized platform BMs and requires a skilled workforce. This research underscores how AI can improve performance in blockchain-based platforms, advancing scientific knowledge of decentralized platforms and offering recommendations for managers and policymakers on how to innovate their BMs and leverage AI to maximize value across platforms.
{"title":"Exploring the impact of AI on Web3 decentralized platform business model innovation","authors":"Francesco Fasano , Chiara Bartoli , Francesco Cappa , Paolo Boccardelli","doi":"10.1016/j.jengtecman.2025.101911","DOIUrl":"10.1016/j.jengtecman.2025.101911","url":null,"abstract":"<div><div>Advancements in information technologies have revolutionized business models (BMs), which are now increasingly based on digital platforms. The spread of Web3 has led to further development in this direction, giving rise to platform business models enabled by blockchain technology. At the same time, the advent of artificial intelligence (AI) has further expanded opportunities to innovate BMs. In this study we examine how the integration of AI influences BMs in blockchain-based platforms. We find that the integration of AI plays a key role in the three main dimensions of platform business models: value creation, value delivery, and value capture. We demonstrate, in particular, how AI enhances operational efficiency, strategic governance, and decision-making in Web3 platforms enabled by blockchains. Moreover, AI optimizes personalization, matching processes, and interactions in decentralized platforms. AI also fosters innovation in decentralized platform BMs and requires a skilled workforce. This research underscores how AI can improve performance in blockchain-based platforms, advancing scientific knowledge of decentralized platforms and offering recommendations for managers and policymakers on how to innovate their BMs and leverage AI to maximize value across platforms.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"78 ","pages":"Article 101911"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145057276","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}
The integration of artificial intelligence (AI) into digital platforms is transforming the way businesses tackle environmental, social and governance (ESG) issues. This study investigates how AI can enable platform business models (Platform BMs) to create, deliver and capture ESG-related value, with a particular focus on the ESG rating industry. Using the Platform Business Model Canvas as a conceptual framework, and conducting a comparative analysis of six case studies, the research identifies three distinct configurations of AI-enabled Platform BMs: (1) ESG data wrangling and integration; (2) financial analysis and provision of ESG data to investors and companies; and (3) compliance and management of ESG issues in supply chains. Each configuration embeds specific mechanisms, such as predictive analytics, compliance automation and stakeholder coordination, through which AI can support ESG-oriented business innovation. Based on these findings, the study proposes four theoretical propositions that clarify the relationships between AI capabilities, data governance, and ESG value creation within platform ecosystems. The paper advances the academic understanding of the relationship between AI and sustainability and provides a typology to inform the strategic development of ESG-focused digital platforms.
{"title":"Integrating AI and ESG in digital platforms: New profiles of platform-based business models","authors":"Giulia Nevi , Raffaella Montera , Nicola Cucari , Francesco Laviola","doi":"10.1016/j.jengtecman.2025.101913","DOIUrl":"10.1016/j.jengtecman.2025.101913","url":null,"abstract":"<div><div>The integration of artificial intelligence (AI) into digital platforms is transforming the way businesses tackle environmental, social and governance (ESG) issues. This study investigates how AI can enable platform business models (Platform BMs) to create, deliver and capture ESG-related value, with a particular focus on the ESG rating industry. Using the Platform Business Model Canvas as a conceptual framework, and conducting a comparative analysis of six case studies, the research identifies three distinct configurations of AI-enabled Platform BMs: (1) ESG data wrangling and integration; (2) financial analysis and provision of ESG data to investors and companies; and (3) compliance and management of ESG issues in supply chains. Each configuration embeds specific mechanisms, such as predictive analytics, compliance automation and stakeholder coordination, through which AI can support ESG-oriented business innovation. Based on these findings, the study proposes four theoretical propositions that clarify the relationships between AI capabilities, data governance, and ESG value creation within platform ecosystems. The paper advances the academic understanding of the relationship between AI and sustainability and provides a typology to inform the strategic development of ESG-focused digital platforms.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"78 ","pages":"Article 101913"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221733","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}
Pub Date : 2025-10-01DOI: 10.1016/j.jengtecman.2025.101917
Maria Alice Moreira Trindade , Pietro De Giovanni
Craftsmen traditionally relied on proximity markets and localized territories to conduct their business without heavy investments in digital solutions. However, the Covid-19 pandemic necessitated the adoption of digital solutions to access markets also giving unexpected opportunities like, for example, international exposure. Such investments required a complete change in the craftsmen's business strategies and persisted in the post-pandemic period requesting continuous and new investments. In this study, we employ Structural Equation Modeling on a sample of 762 Italian craftsmen to investigate how the post-Covid business strategies influence the investments in both digital marketing and digital technologies and their subsequent impact on performance. Furthermore, this study seeks to explore the advantages that craftsmen derive from subscribing to post-Covid commercial and digital-based contracts with strategic partners that joined the business model due to the pandemic. By doing so, we demonstrate the profound influence of these contract types on firms' business strategies and digital-related adoption paths and contribute to a better understanding of the factors driving technology adoption in craftsmen industry.
{"title":"Craftsmen and digital transformation: Business strategies and contracts in a post-Covid world","authors":"Maria Alice Moreira Trindade , Pietro De Giovanni","doi":"10.1016/j.jengtecman.2025.101917","DOIUrl":"10.1016/j.jengtecman.2025.101917","url":null,"abstract":"<div><div>Craftsmen traditionally relied on proximity markets and localized territories to conduct their business without heavy investments in digital solutions. However, the Covid-19 pandemic necessitated the adoption of digital solutions to access markets also giving unexpected opportunities like, for example, international exposure. Such investments required a complete change in the craftsmen's business strategies and persisted in the post-pandemic period requesting continuous and new investments. In this study, we employ Structural Equation Modeling on a sample of 762 Italian craftsmen to investigate how the post-Covid business strategies influence the investments in both digital marketing and digital technologies and their subsequent impact on performance. Furthermore, this study seeks to explore the advantages that craftsmen derive from subscribing to post-Covid commercial and digital-based contracts with strategic partners that joined the business model due to the pandemic. By doing so, we demonstrate the profound influence of these contract types on firms' business strategies and digital-related adoption paths and contribute to a better understanding of the factors driving technology adoption in craftsmen industry.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"78 ","pages":"Article 101917"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221732","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}
Pub Date : 2025-10-01Epub Date: 2025-10-15DOI: 10.1016/j.jengtecman.2025.101915
Louisa Heiduk , Philipp Frey , Lysander Weiss , Dominik K. Kanbach
Within the domain of corporate entrepreneurship, external corporate venturing (CV) offers firms different avenues for strategic renewal, yet research comparing its different modes remains limited. This study examines two external CV approaches—Corporate Venture Capital (CVC) and Venture Clienting (VCL)—to investigate how they differentially and complementarily facilitate strategic renewal. The study applies a flexible pattern-matching approach to abductively compare empirical insights from 99 semi-structured interviews with CV managers to existing theory on strategic corporate venturing. The findings show that CVC often primarily functions as an exploratory external CV mode oriented toward future growth, characterized by strong strategic and external linkages, proactive sensing, and investment-led innovation processes. In contrast, VCL tends to serve as an exploitative external CV mode focused on near-term operational enhancement through tight business-unit integration, structured piloting, and implementation activities. While both modes support certain aspects of strategic renewal, the findings suggest that orchestrated jointly, CVC and VCL have the potential to facilitate distributed ambidexterity, enabling companies to balance exploration and exploitation across time horizons to renew current and future competitive advantages. The study contributes to the literature by empirically conceptualizing complementary configurations of CVC and VCL for a distributed architecture for strategic renewal and by advancing the configurational view of external CV through a formalized configuration space that links structural features to heterogeneous ambidextrous behaviours.
{"title":"External corporate venturing for strategic renewal: A comparative study of corporate venture capital and corporate venture clienting","authors":"Louisa Heiduk , Philipp Frey , Lysander Weiss , Dominik K. Kanbach","doi":"10.1016/j.jengtecman.2025.101915","DOIUrl":"10.1016/j.jengtecman.2025.101915","url":null,"abstract":"<div><div>Within the domain of corporate entrepreneurship, external corporate venturing (CV) offers firms different avenues for strategic renewal, yet research comparing its different modes remains limited. This study examines two external CV approaches—Corporate Venture Capital (CVC) and Venture Clienting (VCL)—to investigate how they differentially and complementarily facilitate strategic renewal. The study applies a flexible pattern-matching approach to abductively compare empirical insights from 99 semi-structured interviews with CV managers to existing theory on strategic corporate venturing. The findings show that CVC often primarily functions as an exploratory external CV mode oriented toward future growth, characterized by strong strategic and external linkages, proactive sensing, and investment-led innovation processes. In contrast, VCL tends to serve as an exploitative external CV mode focused on near-term operational enhancement through tight business-unit integration, structured piloting, and implementation activities. While both modes support certain aspects of strategic renewal, the findings suggest that orchestrated jointly, CVC and VCL have the potential to facilitate distributed ambidexterity, enabling companies to balance exploration and exploitation across time horizons to renew current and future competitive advantages. The study contributes to the literature by empirically conceptualizing complementary configurations of CVC and VCL for a distributed architecture for strategic renewal and by advancing the configurational view of external CV through a formalized configuration space that links structural features to heterogeneous ambidextrous behaviours.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"78 ","pages":"Article 101915"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333290","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}
Pub Date : 2025-10-01Epub Date: 2025-11-15DOI: 10.1016/j.jengtecman.2025.101925
Duo Jin , Yang Yang , Yang Liu
Drawing on inferential learning theory and situated artificial intelligence (AI) theory, we posit that both “good” peers (those exhibiting higher levels of green innovation) and “bad” peers (those accruing higher environmental penalties) exert positive influences on a focal firm's green innovation. Moreover, we propose that firm’s AI orientation will exert a dual moderating effect: It will enhance inferential learning from “good” peers by accelerating the learning process, yet diminish the learning derived from “bad” peers by amplifying the inherent myopia of inferential learning. Empirical and robustness tests using 4089 firms with 29,402 firm-year observations from 2010 to 2020 largely support our theory. These findings shed light on AI augmented inferential learning theory as well as the nuanced peer effects on green innovation in the age of AI.
{"title":"AI augmented inferential learning from both the 'good' and 'bad' for green innovation: Evidence from China","authors":"Duo Jin , Yang Yang , Yang Liu","doi":"10.1016/j.jengtecman.2025.101925","DOIUrl":"10.1016/j.jengtecman.2025.101925","url":null,"abstract":"<div><div>Drawing on inferential learning theory and situated artificial intelligence (AI) theory, we posit that both “good” peers (those exhibiting higher levels of green innovation) and “bad” peers (those accruing higher environmental penalties) exert positive influences on a focal firm's green innovation. Moreover, we propose that firm’s AI orientation will exert a dual moderating effect: It will enhance inferential learning from “good” peers by accelerating the learning process, yet diminish the learning derived from “bad” peers by amplifying the inherent myopia of inferential learning. Empirical and robustness tests using 4089 firms with 29,402 firm-year observations from 2010 to 2020 largely support our theory. These findings shed light on AI augmented inferential learning theory as well as the nuanced peer effects on green innovation in the age of AI.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"78 ","pages":"Article 101925"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145579199","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}
Pub Date : 2025-10-01Epub Date: 2025-10-30DOI: 10.1016/j.jengtecman.2025.101923
Mehdi Fatemi , Shohreh Nasri , Sepehr Ghazinoory
The rapid advancement of artificial intelligence (AI) reinforces the necessity of adopting global perspectives on innovation. Conventional frameworks (national innovation systems, global value chains, and ecosystem models) remain useful, yet they are limited in their ability to capture the complexity, dynamism, and asymmetrical interactions that characterize transnational AI ecosystems. This article introduces the innovation biosphere framework as a response to this theoretical gap, a conceptual approach that foregrounds the non-equilibrium dynamics, role fluidity, and co-evolutionary processes that characterize today's transnational AI landscape. Employing a metaphor research strategy, the article systematically maps key actors (leader, systemic intermediary, umbrella, and fundamental), interactions (cooperation, competition, prey/predator, and commensalism), and evolution mechanisms (environmental adaptation, innovation-driven evolution, performance improvement, and directional change) onto global innovation dynamics. Accordingly, leader actors (e.g., OpenAI and DeepMind) drive deep learning and language processing breakthroughs. Google and IBM, as systemic intermediary actors, spread AI across sectors, while umbrella actors, including Alphabet and Tencent, nurture AI startups and foster innovation at multiple scales. Fundamental actors contribute foundational research, regulation, and ethical frameworks. Furthermore, cooperative efforts (e.g., Partnership on AI) foster joint technological advancements, while competitive dynamics among tech giants stimulate rapid AI progress. Prey-predator and commensalism relationships illustrate interactions characterized by asymmetries in power or resources. Finally, evolution mechanisms include environmental adaptation, observed in AI's pandemic-driven growth, and innovation-driven evolution marked by leaps in NLP model capabilities. Performance improvement results from cross-sector contributions, like Nvidia's influence on autonomous vehicles, while geopolitical disruptions trigger directional changes.
{"title":"Anatomy of innovation biosphere in global AI landscape: Actors, interactions, and evolution","authors":"Mehdi Fatemi , Shohreh Nasri , Sepehr Ghazinoory","doi":"10.1016/j.jengtecman.2025.101923","DOIUrl":"10.1016/j.jengtecman.2025.101923","url":null,"abstract":"<div><div>The rapid advancement of artificial intelligence (AI) reinforces the necessity of adopting global perspectives on innovation. Conventional frameworks (national innovation systems, global value chains, and ecosystem models) remain useful, yet they are limited in their ability to capture the complexity, dynamism, and asymmetrical interactions that characterize transnational AI ecosystems. This article introduces the innovation biosphere framework as a response to this theoretical gap, a conceptual approach that foregrounds the non-equilibrium dynamics, role fluidity, and co-evolutionary processes that characterize today's transnational AI landscape. Employing a metaphor research strategy, the article systematically maps key actors (leader, systemic intermediary, umbrella, and fundamental), interactions (cooperation, competition, prey/predator, and commensalism), and evolution mechanisms (environmental adaptation, innovation-driven evolution, performance improvement, and directional change) onto global innovation dynamics. Accordingly, leader actors (e.g., OpenAI and DeepMind) drive deep learning and language processing breakthroughs. Google and IBM, as systemic intermediary actors, spread AI across sectors, while umbrella actors, including Alphabet and Tencent, nurture AI startups and foster innovation at multiple scales. Fundamental actors contribute foundational research, regulation, and ethical frameworks. Furthermore, cooperative efforts (e.g., Partnership on AI) foster joint technological advancements, while competitive dynamics among tech giants stimulate rapid AI progress. Prey-predator and commensalism relationships illustrate interactions characterized by asymmetries in power or resources. Finally, evolution mechanisms include environmental adaptation, observed in AI's pandemic-driven growth, and innovation-driven evolution marked by leaps in NLP model capabilities. Performance improvement results from cross-sector contributions, like Nvidia's influence on autonomous vehicles, while geopolitical disruptions trigger directional changes.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"78 ","pages":"Article 101923"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145417224","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}
Pub Date : 2025-10-01Epub Date: 2025-10-09DOI: 10.1016/j.jengtecman.2025.101919
Francesco Schiavone , Francesco Paolo Appio , Daniel Palacios , Sai Lan
The advancement of digital technologies such as AI, blockchain, and IoT is reshaping business models and driving societal change. This issue examines how organizations innovate to meet evolving social demands, strategic uncertainties, and ethical challenges. Drawing from diverse sectors, the contributions highlight mechanisms for responsible and sustainable innovation, including leadership, dynamic capabilities, and inclusive collaboration. The studies emphasize the need to manage innovation with foresight and resilience. Building on these insights, future research should explore ethical governance, digital equity, and human capital dynamics to better understand how digital business models can foster inclusive and impactful societal outcomes.
{"title":"Managing the innovation of business models for social change and digital transformation: Future challenges and scenarios","authors":"Francesco Schiavone , Francesco Paolo Appio , Daniel Palacios , Sai Lan","doi":"10.1016/j.jengtecman.2025.101919","DOIUrl":"10.1016/j.jengtecman.2025.101919","url":null,"abstract":"<div><div>The advancement of digital technologies such as AI, blockchain, and IoT is reshaping business models and driving societal change. This issue examines how organizations innovate to meet evolving social demands, strategic uncertainties, and ethical challenges. Drawing from diverse sectors, the contributions highlight mechanisms for responsible and sustainable innovation, including leadership, dynamic capabilities, and inclusive collaboration. The studies emphasize the need to manage innovation with foresight and resilience. Building on these insights, future research should explore ethical governance, digital equity, and human capital dynamics to better understand how digital business models can foster inclusive and impactful societal outcomes.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"78 ","pages":"Article 101919"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693362","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}
Pub Date : 2025-10-01Epub Date: 2025-09-17DOI: 10.1016/j.jengtecman.2025.101912
Songhee Kang , Jörn Altmann , Ahreum Hong
This study investigates the impact of knowledge absorption and transfer timing on firm performance in the software industry, utilizing 11 years of transaction-level tax invoice data from 2665 firms. Results reveal that early-stage knowledge absorption has a stronger and more sustained impact on performance than late-stage absorption, while knowledge transfer yields only short-term benefits. Firms that consistently internalize external knowledge over the product life cycle outperform those that do not. These findings underscore the significance of temporal alignment in knowledge management strategies, suggesting that software supply chains should prioritize early and continuous knowledge absorption to enhance competitiveness and innovation outcomes.
{"title":"Strategic insights into temporal knowledge management in software industry networks","authors":"Songhee Kang , Jörn Altmann , Ahreum Hong","doi":"10.1016/j.jengtecman.2025.101912","DOIUrl":"10.1016/j.jengtecman.2025.101912","url":null,"abstract":"<div><div>This study investigates the impact of knowledge absorption and transfer timing on firm performance in the software industry, utilizing 11 years of transaction-level tax invoice data from 2665 firms. Results reveal that early-stage knowledge absorption has a stronger and more sustained impact on performance than late-stage absorption, while knowledge transfer yields only short-term benefits. Firms that consistently internalize external knowledge over the product life cycle outperform those that do not. These findings underscore the significance of temporal alignment in knowledge management strategies, suggesting that software supply chains should prioritize early and continuous knowledge absorption to enhance competitiveness and innovation outcomes.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"78 ","pages":"Article 101912"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107827","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}
Pub Date : 2025-10-01Epub Date: 2025-11-15DOI: 10.1016/j.jengtecman.2025.101924
Tanya Munir
Purpose
The study examines how leadership competency fosters the integration of Generative AI within two-sided platform environments, specifically focusing on its impact on improving teamwork productivity. The study delves into the dynamic of integrating Gen AI within entertainment industry, focusing on the influence of socially responsible innovation and behavioral change required for successful adoption.
Methodology
The study employed a quantitative survey-based approach using random sampling of employees from Pakistani entertainment agencies. Data were collected via online platforms over four months, securing 530 valid responses.
Findings
All four hypothesis are supported, underscoring the study pivotal role of leadership competency in driving Gen AI adoption and enhancing teamwork productivity. The study findings highlight that platform-based interactions benefit from AI enabled leadership strategies and that socially responsible innovative practices, coupled with behavioral change act as critical enablers in two sided AI-enhanced ecosystems.
Practical implications
Managers can use these results to design training programs, foster AI-driven collaboration, and implement socially responsible innovation practices, ensuring efficiency, reduced bias, and sustained competitiveness across diverse organizational settings.
Social implications
By promoting ethical, transparent, and inclusive AI practices, organizations can enhance employee trust, encourage behavioral change, and create equitable opportunities for collaboration. These insights support broader societal goals of fairness, accountability, and sustainability in technology-enabled workplaces.
{"title":"Leadership competency and Gen AI in two-sided platforms: Driving innovation, productivity, and responsible change in the entertainment industry","authors":"Tanya Munir","doi":"10.1016/j.jengtecman.2025.101924","DOIUrl":"10.1016/j.jengtecman.2025.101924","url":null,"abstract":"<div><h3>Purpose</h3><div>The study examines how leadership competency fosters the integration of Generative AI within two-sided platform environments, specifically focusing on its impact on improving teamwork productivity. The study delves into the dynamic of integrating Gen AI within entertainment industry, focusing on the influence of socially responsible innovation and behavioral change required for successful adoption.</div></div><div><h3>Methodology</h3><div>The study employed a quantitative survey-based approach using random sampling of employees from Pakistani entertainment agencies. Data were collected via online platforms over four months, securing 530 valid responses.</div></div><div><h3>Findings</h3><div>All four hypothesis are supported, underscoring the study pivotal role of leadership competency in driving Gen AI adoption and enhancing teamwork productivity. The study findings highlight that platform-based interactions benefit from AI enabled leadership strategies and that socially responsible innovative practices, coupled with behavioral change act as critical enablers in two sided AI-enhanced ecosystems.</div></div><div><h3>Practical implications</h3><div>Managers can use these results to design training programs, foster AI-driven collaboration, and implement socially responsible innovation practices, ensuring efficiency, reduced bias, and sustained competitiveness across diverse organizational settings.</div></div><div><h3>Social implications</h3><div>By promoting ethical, transparent, and inclusive AI practices, organizations can enhance employee trust, encourage behavioral change, and create equitable opportunities for collaboration. These insights support broader societal goals of fairness, accountability, and sustainability in technology-enabled workplaces.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"78 ","pages":"Article 101924"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145528444","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}
Pub Date : 2025-10-01Epub Date: 2025-10-13DOI: 10.1016/j.jengtecman.2025.101922
Dongping Yu , Yalin Zheng , Ying Sun , Minchao Liao , Tiantian Kong , Lazarus Masule Jamu
In the context of the knowledge economy, the complexity of technological innovation networks is increasing, leading to the formation of relationship divisive faultlines among innovation stakeholders based on varying levels of proximity. While this phenomenon gives rise to both intra-subgroup and inter-subgroup reciprocity within the network, there has been limited exploration of the relationship between relationship divisive faultlines and subgroup reciprocity. Drawing on faultlines theory, cohesive subgroup theory, and organizational learning theory, this study analyses global patent data in the unmanned aerial vehicle field from 2002 to 2021 to construct a technological innovation network. Empirical findings reveal an inverted U-shaped relationship between relationship divisive faultlines and subgroup reciprocity. Specifically, knowledge search and knowledge absorption partially mediate this relationship. These results highlight the sequential mediating role of knowledge search and absorption in influencing subgroup reciprocity within technological innovation networks, contributing valuable insights to subgroup theory.
{"title":"Relationship divisive faultlines and subgroup reciprocity in technological innovation networks: Analysing the sequential mediating role","authors":"Dongping Yu , Yalin Zheng , Ying Sun , Minchao Liao , Tiantian Kong , Lazarus Masule Jamu","doi":"10.1016/j.jengtecman.2025.101922","DOIUrl":"10.1016/j.jengtecman.2025.101922","url":null,"abstract":"<div><div>In the context of the knowledge economy, the complexity of technological innovation networks is increasing, leading to the formation of relationship divisive faultlines among innovation stakeholders based on varying levels of proximity. While this phenomenon gives rise to both intra-subgroup and inter-subgroup reciprocity within the network, there has been limited exploration of the relationship between relationship divisive faultlines and subgroup reciprocity. Drawing on faultlines theory, cohesive subgroup theory, and organizational learning theory, this study analyses global patent data in the unmanned aerial vehicle field from 2002 to 2021 to construct a technological innovation network. Empirical findings reveal an inverted U-shaped relationship between relationship divisive faultlines and subgroup reciprocity. Specifically, knowledge search and knowledge absorption partially mediate this relationship. These results highlight the sequential mediating role of knowledge search and absorption in influencing subgroup reciprocity within technological innovation networks, contributing valuable insights to subgroup theory.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"78 ","pages":"Article 101922"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333289","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}
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