Pub Date : 2025-10-24DOI: 10.1016/j.joitmc.2025.100672
Subramaniam Ananthram , Christopher Chan
Jugaad, a form of frugal innovation from India, has both positive and negative attributes and effects, creating a paradox. While studies have mainly focused on the positive attributes of jugaad, including improvement in the lives of bottom of the pyramid (BOP) populations, adopting a more balanced approach to jugaad, given its several negative attributes (e.g., unsafe solutions, corruption, and illegality), is critical. Utilizing paradox theory, we empirically assess qualitative data from eight Indian multinational corporations (MNCs). Our findings highlight the paradox of jugaad, which challenges MNCs to find a balanced approach. This balance can be achieved through factors that promote responsible practices, policies, and strategies, aligned with the principles of responsible innovation, such as anticipation, reflexivity, inclusion, and responsiveness. We propose a theoretical model of responsible jugaad within this framework and our findings extend the academic discourse on paradox theory and responsible jugaad with implications for practitioners.
{"title":"The paradox of responsible Jugaad innovation: Implications for Indian multinational corporations","authors":"Subramaniam Ananthram , Christopher Chan","doi":"10.1016/j.joitmc.2025.100672","DOIUrl":"10.1016/j.joitmc.2025.100672","url":null,"abstract":"<div><div><em>Jugaad,</em> a form of frugal innovation from India, has both positive and negative attributes and effects, creating a paradox. While studies have mainly focused on the positive attributes of <em>jugaad,</em> including improvement in the lives of bottom of the pyramid (BOP) populations, adopting a more balanced approach to <em>jugaad,</em> given its several negative attributes (e.g., unsafe solutions, corruption, and illegality), is critical. Utilizing paradox theory, we empirically assess qualitative data from eight Indian multinational corporations (MNCs). Our findings highlight the paradox of <em>jugaad</em>, which challenges MNCs to find a balanced approach. This balance can be achieved through factors that promote responsible practices, policies, and strategies, aligned with the principles of responsible innovation, such as anticipation, reflexivity, inclusion, and responsiveness. We propose a theoretical model of responsible <em>jugaad</em> within this framework and our findings extend the academic discourse on paradox theory and responsible <em>jugaad</em> with implications for practitioners.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100672"},"PeriodicalIF":0.0,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145417019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-22DOI: 10.1016/j.joitmc.2025.100671
Pornpawee Supsermpol , Van Nam Huynh , Thus Karnjanapatchara , Navee Chiadamrong
This study develops a machine learning-based model to predict Initial Public Offerings (IPO) underpricing in the Thai capital market by integrating firm-specific variables, market indicators, macroeconomic factors, and aspect-based sentiment factors derived from IPO filings. Using Light Gradient Boosting Machine (LightGBM) as the primary model, the research leverages both structured quantitative data and unstructured qualitative text to capture a wide array of underpricing determinants. Aspect-based sentiment features are extracted from issuer disclosures using a pre-trained domain-specific Thai-language model, and their validity is further evaluated against GPT-4.1. The results demonstrate that incorporating sentiment-based predictors improves model performance, with LightGBM outperforming benchmark models across all evaluation metrics. The findings reveal that market momentum, firm size, book value, and thematic sentiment—particularly in human capital and product narratives—are significant contributors to underpricing. The presence of certain narrative cues may also signal strategic orientation, including openness to innovation, which could shape investor expectations. These findings offer both methodological and empirical contributions, highlighting the utility of combining machine learning with financial text analysis for improved predictive accuracy and interpretability in emerging markets.
{"title":"Post-IPO underpricing prediction: A case study of Thai capital market","authors":"Pornpawee Supsermpol , Van Nam Huynh , Thus Karnjanapatchara , Navee Chiadamrong","doi":"10.1016/j.joitmc.2025.100671","DOIUrl":"10.1016/j.joitmc.2025.100671","url":null,"abstract":"<div><div>This study develops a machine learning-based model to predict Initial Public Offerings (IPO) underpricing in the Thai capital market by integrating firm-specific variables, market indicators, macroeconomic factors, and aspect-based sentiment factors derived from IPO filings. Using Light Gradient Boosting Machine (LightGBM) as the primary model, the research leverages both structured quantitative data and unstructured qualitative text to capture a wide array of underpricing determinants. Aspect-based sentiment features are extracted from issuer disclosures using a pre-trained domain-specific Thai-language model, and their validity is further evaluated against GPT-4.1. The results demonstrate that incorporating sentiment-based predictors improves model performance, with LightGBM outperforming benchmark models across all evaluation metrics. The findings reveal that market momentum, firm size, book value, and thematic sentiment—particularly in human capital and product narratives—are significant contributors to underpricing. The presence of certain narrative cues may also signal strategic orientation, including openness to innovation, which could shape investor expectations. These findings offer both methodological and empirical contributions, highlighting the utility of combining machine learning with financial text analysis for improved predictive accuracy and interpretability in emerging markets.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100671"},"PeriodicalIF":0.0,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145363429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-20DOI: 10.1016/j.joitmc.2025.100670
Nguyen Thi Phuong Giang, Thai Dong Tan, Le Thi Hong Nhung
This study explores the key factors influencing the adoption of e-commerce by businesses. The objective is to gain a comprehensive understanding of how technological, organizational, and environmental factors affect intention to adopt e-commerce decisions and their impact on the digital transformation process. The research is based on the TOE framework, integrated with TAM, TPB, and UTAUT, to address the empirical gap in intention to adopt e-commerce among Vietnamese SMEs. It also incorporates the role of artificial intelligence (AI) integration and the often-overlooked perspective of consumer behavior and online experience. A quantitative survey of 391 SME businesses (following a pilot survey with 30 enterprises) was conducted to obtain a comprehensive perspective on intention to adopt e-commerce. Data were analyzed using SmartPLS 4 software following the Structural Equation Modeling (SEM) approach. The results indicate that perceived relative advantage (β = 0.217, p < 0.001), Perceived Cost Acceptability (β = 0.204), and Perceived Ease of use (β = 0.180) are the strongest predictors of intention to adopt e-commerce among businesses. AI integration (β = 0.051, p < 0.05), Human Resource (β = 0.101), and Perceived Security (β = 0.123) also have significant impacts. Additionally, intention to adopt e-commerce significantly improves the marketing performance (β = 0.383, p < 0.001). The study contributes to both academia and practice by proposing an integrated model that enhances understanding of intention to adopt e-commerce among SMEs. Theoretically, it extends the TOE framework by integrating AI and resource-based views. Practically, the research offers solutions to enhance digital capabilities for SMEs and proposes improvements in policies, infrastructure, and trust-building mechanisms for e-commerce in emerging markets.
本研究探讨了影响企业采用电子商务的关键因素。目标是全面了解技术、组织和环境因素如何影响采用电子商务决策的意图及其对数字化转型过程的影响。该研究基于TOE框架，结合TAM、TPB和UTAUT，以解决越南中小企业采用电子商务意愿的经验差距。它还结合了人工智能（AI）集成的作用，以及经常被忽视的消费者行为和在线体验的观点。我们对391间中小企进行了定量调查（之前曾对30间企业进行试点调查），以全面了解采用电子贸易的意向。根据结构方程建模（SEM）方法，使用SmartPLS 4软件对数据进行分析。结果表明，感知相对优势（β = 0.217, p <； 0.001）、感知成本可接受性（β = 0.204）和感知易用性（β = 0.180）是企业采用电子商务意愿的最强预测因子。人工智能整合（β = 0.051, p <； 0.05）、人力资源（β = 0.101）和感知安全（β = 0.123）也有显著影响。此外，采用电子商务的意愿显著提高了营销绩效（β = 0.383, p <； 0.001）。该研究提出了一个综合模型，提高了对中小企业采用电子商务意愿的理解，对学术界和实践都有贡献。理论上，它通过集成AI和基于资源的视图来扩展TOE框架。实际上，该研究提供了提高中小企业数字化能力的解决方案，并提出了改善新兴市场电子商务政策、基础设施和信任建立机制的建议。
{"title":"Determinants of E-commerce adoption and its effect on marketing performance among Vietnamese SMEs: An PLS-SEM approach using the TOE framework","authors":"Nguyen Thi Phuong Giang, Thai Dong Tan, Le Thi Hong Nhung","doi":"10.1016/j.joitmc.2025.100670","DOIUrl":"10.1016/j.joitmc.2025.100670","url":null,"abstract":"<div><div>This study explores the key factors influencing the adoption of e-commerce by businesses. The objective is to gain a comprehensive understanding of how technological, organizational, and environmental factors affect intention to adopt e-commerce decisions and their impact on the digital transformation process. The research is based on the TOE framework, integrated with TAM, TPB, and UTAUT, to address the empirical gap in intention to adopt e-commerce among Vietnamese SMEs. It also incorporates the role of artificial intelligence (AI) integration and the often-overlooked perspective of consumer behavior and online experience. A quantitative survey of 391 SME businesses (following a pilot survey with 30 enterprises) was conducted to obtain a comprehensive perspective on intention to adopt e-commerce. Data were analyzed using SmartPLS 4 software following the Structural Equation Modeling (SEM) approach. The results indicate that perceived relative advantage (β = 0.217, p < 0.001), Perceived Cost Acceptability (β = 0.204), and Perceived Ease of use (β = 0.180) are the strongest predictors of intention to adopt e-commerce among businesses. AI integration (β = 0.051, p < 0.05), Human Resource (β = 0.101), and Perceived Security (β = 0.123) also have significant impacts. Additionally, intention to adopt e-commerce significantly improves the marketing performance (β = 0.383, p < 0.001). The study contributes to both academia and practice by proposing an integrated model that enhances understanding of intention to adopt e-commerce among SMEs. Theoretically, it extends the TOE framework by integrating AI and resource-based views. Practically, the research offers solutions to enhance digital capabilities for SMEs and proposes improvements in policies, infrastructure, and trust-building mechanisms for e-commerce in emerging markets.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100670"},"PeriodicalIF":0.0,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145363427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-20DOI: 10.1016/j.joitmc.2025.100668
Rizwan Ullah Khan , Uzma Javed , Munir A. Abbasi
Family-owned SMEs play a vital role in emerging economies but often struggle to internationalize due to limited resources, emotional attachment to legacy, and governance constraints. While socioemotional wealth (SEW) significantly influences strategic decision-making, its role in shaping international performance (IP) remains underexplored. This study examines how SEW impacts IP through entrepreneurial bricolage (EB), with generational stage serving as a moderating factor, in the context of Pakistani family-owned Small and Medium Enterprises (SMEs). This focus is important because EB provides a mechanism for transforming family-centred emotional priorities into international competitiveness, addressing the strategic tensions family SMEs face in global growth. Drawing on the SEW theory, this research proposes and tests a conceptual model that examines the partially mediating role of EB and the moderating influence of generational stage (founder, second, and third generations). Using data collected from 312 manufacturing family firms registered with the Pakistan Manufacturing & Export Association (PMEA), analysed through Smart PLS and multi-group analysis (MGA), the findings reveal that earlier-generation founders tend to prioritise ownership and identity over profitability, while later generations leverage established social and business capital to enhance IP. The results offer valuable insights not only in strengthening governance structures in family firms, but also in seeking to enhance them. By highlighting generational differences in entrepreneurial behavior and performance orientation, this study contributes to the broader discourse on innovation and sustainability in family business ecosystems worldwide.
{"title":"The nexus between socioemotional wealth, entrepreneurial bricolage, and family-owned SME’s international performance, firm type as moderator, analysis through multi-group","authors":"Rizwan Ullah Khan , Uzma Javed , Munir A. Abbasi","doi":"10.1016/j.joitmc.2025.100668","DOIUrl":"10.1016/j.joitmc.2025.100668","url":null,"abstract":"<div><div>Family-owned SMEs play a vital role in emerging economies but often struggle to internationalize due to limited resources, emotional attachment to legacy, and governance constraints. While socioemotional wealth (SEW) significantly influences strategic decision-making, its role in shaping international performance (IP) remains underexplored. This study examines how SEW impacts IP through entrepreneurial bricolage (EB), with generational stage serving as a moderating factor, in the context of Pakistani family-owned Small and Medium Enterprises (SMEs). This focus is important because EB provides a mechanism for transforming family-centred emotional priorities into international competitiveness, addressing the strategic tensions family SMEs face in global growth. Drawing on the SEW theory, this research proposes and tests a conceptual model that examines the partially mediating role of EB and the moderating influence of generational stage (founder, second, and third generations). Using data collected from 312 manufacturing family firms registered with the Pakistan Manufacturing & Export Association (PMEA), analysed through Smart PLS and multi-group analysis (MGA), the findings reveal that earlier-generation founders tend to prioritise ownership and identity over profitability, while later generations leverage established social and business capital to enhance IP. The results offer valuable insights not only in strengthening governance structures in family firms, but also in seeking to enhance them. By highlighting generational differences in entrepreneurial behavior and performance orientation, this study contributes to the broader discourse on innovation and sustainability in family business ecosystems worldwide.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100668"},"PeriodicalIF":0.0,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145363428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-15DOI: 10.1016/j.joitmc.2025.100665
Mikus Dubickis , Romans Putans , Zane Hovlanne
Within the all-encompassing approach towards the circular economy, the clothing and textile industry is also undergoing a significant transformation towards sustainability. Central to this transformation is the adoption of innovative practices. A thorough understanding of the key factors driving innovation adoption is needed. This research aims to identify and analyse the critical factors influencing innovation within the clothing and textile industry, focusing on integrating circular economy principles. The authors aim to design a method for assessing organizational readiness to innovate. The research question is: What are the critical factors driving innovation within the clothing and textile industry, specifically within the circular economy? The research methods include a systematic literature review, an online survey, correlation analysis, an analytic hierarchy process survey, and factor grouping. The findings reveal 21 crucial factors in 7 functional groups influencing various types of innovation: research and development, both in-house research and external research services, as the most important group of factors; knowledge acquisition from external sources such as investors, other companies and industries; conferences/exhibitions; higher education and research institutions; managerial intentions and communication; strategy and innovation culture; employee education, training and attitudes; and company parameters such as location and workers’ salaries. Each factor has a particular calculated importance level of weight; therefore, business managers can focus on solving the most relevant factors in conditions of limited resources. The research's originality and valuable practical implications are the designed organization’s readiness assessment method, which has real-world application as a complementary, practical management tool in the circular economy context.
{"title":"Method for assessing organizational readiness to innovate in clothing and textile industry: Insights towards circular economy","authors":"Mikus Dubickis , Romans Putans , Zane Hovlanne","doi":"10.1016/j.joitmc.2025.100665","DOIUrl":"10.1016/j.joitmc.2025.100665","url":null,"abstract":"<div><div>Within the all-encompassing approach towards the circular economy, the clothing and textile industry is also undergoing a significant transformation towards sustainability. Central to this transformation is the adoption of innovative practices. A thorough understanding of the key factors driving innovation adoption is needed. This research aims to identify and analyse the critical factors influencing innovation within the clothing and textile industry, focusing on integrating circular economy principles. The authors aim to design a method for assessing organizational readiness to innovate. The research question is: What are the critical factors driving innovation within the clothing and textile industry, specifically within the circular economy? The research methods include a systematic literature review, an online survey, correlation analysis, an analytic hierarchy process survey, and factor grouping. The findings reveal 21 crucial factors in 7 functional groups influencing various types of innovation: research and development, both in-house research and external research services, as the most important group of factors; knowledge acquisition from external sources such as investors, other companies and industries; conferences/exhibitions; higher education and research institutions; managerial intentions and communication; strategy and innovation culture; employee education, training and attitudes; and company parameters such as location and workers’ salaries. Each factor has a particular calculated importance level of weight; therefore, business managers can focus on solving the most relevant factors in conditions of limited resources. The research's originality and valuable practical implications are the designed organization’s readiness assessment method, which has real-world application as a complementary, practical management tool in the circular economy context.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100665"},"PeriodicalIF":0.0,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145417018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-14DOI: 10.1016/j.joitmc.2025.100666
Ke Liu , Tan Yigitcanlar , Will Browne , Yanjie Fu
Large Language Models (LLMs), such as ChatGPT, are increasingly integrated into urban planning workflows to support tasks ranging from policy drafting to participatory engagement. Prompt engineering—the systematic design of instructions that guide LLM behaviour—has emerged as a critical factor determining the quality, relevance, and reliability of AI-generated outputs in planning applications. However, limited understanding of how prompts are constructed and adapted for planning contexts constrains the effectiveness, transparency, and reproducibility of these applications. This systematic review examines peer-reviewed studies to investigate prompt engineering applications in urban planning and adjacent domains. The study identifies seven standardised component categories and eight key prompting techniques, revealing distinctive typological patterns in prompt template structures. Based on these insights, the paper proposes a novel three-layer framework—task adaptation, component configuration, and enhancement—that supports the development of task-specific, modular prompts with high adaptability across diverse planning scenarios. This framework addresses current limitations static design and underdeveloped interaction mechanisms, enabling more context-aware and accountable LLM applications. In doing so, it supports the integration of AI into sustainable urban development by enabling more context-aware, accountable, and strategy-aligned applications of LLMs in planning workflows. By transforming ad-hoc prompting into structured methodology, this study provides foundations for reliable, transparent AI deployment in urban planning and establishes systematic design principles supporting sustainable urban development through effective human-AI collaboration.
{"title":"Prompts for planning-AI integration: LLM prompt design for supporting sustainable urban development","authors":"Ke Liu , Tan Yigitcanlar , Will Browne , Yanjie Fu","doi":"10.1016/j.joitmc.2025.100666","DOIUrl":"10.1016/j.joitmc.2025.100666","url":null,"abstract":"<div><div>Large Language Models (LLMs), such as ChatGPT, are increasingly integrated into urban planning workflows to support tasks ranging from policy drafting to participatory engagement. Prompt engineering—the systematic design of instructions that guide LLM behaviour—has emerged as a critical factor determining the quality, relevance, and reliability of AI-generated outputs in planning applications. However, limited understanding of how prompts are constructed and adapted for planning contexts constrains the effectiveness, transparency, and reproducibility of these applications. This systematic review examines peer-reviewed studies to investigate prompt engineering applications in urban planning and adjacent domains. The study identifies seven standardised component categories and eight key prompting techniques, revealing distinctive typological patterns in prompt template structures. Based on these insights, the paper proposes a novel three-layer framework—task adaptation, component configuration, and enhancement—that supports the development of task-specific, modular prompts with high adaptability across diverse planning scenarios. This framework addresses current limitations static design and underdeveloped interaction mechanisms, enabling more context-aware and accountable LLM applications. In doing so, it supports the integration of AI into sustainable urban development by enabling more context-aware, accountable, and strategy-aligned applications of LLMs in planning workflows. By transforming ad-hoc prompting into structured methodology, this study provides foundations for reliable, transparent AI deployment in urban planning and establishes systematic design principles supporting sustainable urban development through effective human-AI collaboration.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100666"},"PeriodicalIF":0.0,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-14DOI: 10.1016/j.joitmc.2025.100667
Bahram Ipaki , Armin Heydarie
Green Patents are crucial for promoting sustainable development in the electronics industry, acting as indicators of eco-innovation. However, their potential is obstructed by several barriers, that this research systematically identified through a mixed-methods approach that combined qualitative expert assessments across 67 patent laws and design acts from six major markets: Australia, Germany, the USA, Japan, the Netherlands, and China. From an initial pool of 197 barriers, 129 were distilled through expert consultations, resulting in eight primary categorizes: sustainability-specific issues, patent process barriers, technical and design challenges, financial and investment barriers, legal and enforcement challenges, international and geopolitical challenges, regulatory and public sector barriers, compulsory licensing issues, and collaboration and ownership issues. To address these barriers, the research identified 32 drivers, with 15 identified as optimal solutions based on open innovation and circular economy, including collaborative strategies (sharing technology, knowledge, innovation, joint patents, and collaborative IPR), Disassembly Standardization Index, advanced repairing, large-scale repairing, open-source design, reusability, repairability, remanufacturability labels, Digital Product Passport, and fully-open outbound IP models. These drivers facilitate resource pooling, risk-sharing, and knowledge co-creation among stakeholders, thereby promoting circular design strategies in electronic industry. The transition from green patents to circular patents represents a critical shift in sustainable electronics, highlighting the importance of collaborative strategies and JVs s in fostering a circular economy. Future research should focus on comprehensive strategies to tackle unresolved barriers, exploring legislative reforms and financial instruments to support long-term investments in open Innovations.
{"title":"Impact of circular design and joint-ventures strategies on breaking green patent barriers in the electronic industry","authors":"Bahram Ipaki , Armin Heydarie","doi":"10.1016/j.joitmc.2025.100667","DOIUrl":"10.1016/j.joitmc.2025.100667","url":null,"abstract":"<div><div>Green Patents are crucial for promoting sustainable development in the electronics industry, acting as indicators of eco-innovation. However, their potential is obstructed by several barriers, that this research systematically identified through a mixed-methods approach that combined qualitative expert assessments across 67 patent laws and design acts from six major markets: Australia, Germany, the USA, Japan, the Netherlands, and China. From an initial pool of 197 barriers, 129 were distilled through expert consultations, resulting in eight primary categorizes: sustainability-specific issues, patent process barriers, technical and design challenges, financial and investment barriers, legal and enforcement challenges, international and geopolitical challenges, regulatory and public sector barriers, compulsory licensing issues, and collaboration and ownership issues. To address these barriers, the research identified 32 drivers, with 15 identified as optimal solutions based on open innovation and circular economy, including collaborative strategies (sharing technology, knowledge, innovation, joint patents, and collaborative IPR), Disassembly Standardization Index, advanced repairing, large-scale repairing, open-source design, reusability, repairability, remanufacturability labels, Digital Product Passport, and fully-open outbound IP models. These drivers facilitate resource pooling, risk-sharing, and knowledge co-creation among stakeholders, thereby promoting circular design strategies in electronic industry. The transition from green patents to circular patents represents a critical shift in sustainable electronics, highlighting the importance of collaborative strategies and JVs s in fostering a circular economy. Future research should focus on comprehensive strategies to tackle unresolved barriers, exploring legislative reforms and financial instruments to support long-term investments in open Innovations.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100667"},"PeriodicalIF":0.0,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145325352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-12DOI: 10.1016/j.joitmc.2025.100664
Emma Baan, Javanshir Fouladvand
The North Sea has a significant potential for offshore wind energy, making it important in the European energy transition. However, it presents challenges, particularly regarding required changes to marine spatial planning (MSP), impacting the ecological and social systems. This study explores the potential of collective action as an alternative governance approach to managing the North Sea and its offshore wind farms as a common-pool resource. Following the institutional analysis and development (IAD) framework, a semi-structured interview was developed and conducted with 14 Dutch experts. The results demonstrated different levels of governance and the settings influencing these levels. The research identified the following conditions that impact the opportunities for collective action on the North Sea energy resources: complex cost-benefit allocation, monitoring of resources, and a positive attitude towards collaboration. The results also indicated that the actors are willing to collaborate, and collective action could be a potential alternative governance approach for such a complex, large (energy) system. Future research avenues and recommendations are also presented.
{"title":"Collective action governance of the offshore wind farms: An empirical Dutch perspective on the North Sea","authors":"Emma Baan, Javanshir Fouladvand","doi":"10.1016/j.joitmc.2025.100664","DOIUrl":"10.1016/j.joitmc.2025.100664","url":null,"abstract":"<div><div>The North Sea has a significant potential for offshore wind energy, making it important in the European energy transition. However, it presents challenges, particularly regarding required changes to marine spatial planning (MSP), impacting the ecological and social systems. This study explores the potential of collective action as an alternative governance approach to managing the North Sea and its offshore wind farms as a common-pool resource. Following the institutional analysis and development (IAD) framework, a semi-structured interview was developed and conducted with 14 Dutch experts. The results demonstrated different levels of governance and the settings influencing these levels. The research identified the following conditions that impact the opportunities for collective action on the North Sea energy resources: complex cost-benefit allocation, monitoring of resources, and a positive attitude towards collaboration. The results also indicated that the actors are willing to collaborate, and collective action could be a potential alternative governance approach for such a complex, large (energy) system. Future research avenues and recommendations are also presented.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100664"},"PeriodicalIF":0.0,"publicationDate":"2025-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-11DOI: 10.1016/j.joitmc.2025.100654
Wesley dos Reis Bezerra , Cristiano Antonio de Souza , Carla Merkle Westphall , Carlos Becker Westphall
Threat modeling is an essential tool for the quality of produced software artifacts, bringing maturity to the design process. However, even though several threat modeling methodologies are used, the evolution of the complexity of new technologies, such as microservices, APIs, and other distributed components, demands new challenges. Our methodology provides a comprehensive workflow aggregating existing methodologies such as STRIDE, CVSS, and ADT in a hybrid format and distinct modeling phases. With this approach, through easy traceability and maintenance, it was possible to visualize each component’s global and specific threats and the relationship between the components and countermeasures for each threat. As a result, HyVAW proved to be suitable for analyzing the different threats in each part of the proposed system and mainly for communication between the parts of the security mechanism through exemplification using a distributed project and through a comparison with other related works.
{"title":"HyVAW: A hybrid vulnerability analysis workflow threat model methodology for complex systems based on distributed components","authors":"Wesley dos Reis Bezerra , Cristiano Antonio de Souza , Carla Merkle Westphall , Carlos Becker Westphall","doi":"10.1016/j.joitmc.2025.100654","DOIUrl":"10.1016/j.joitmc.2025.100654","url":null,"abstract":"<div><div>Threat modeling is an essential tool for the quality of produced software artifacts, bringing maturity to the design process. However, even though several threat modeling methodologies are used, the evolution of the complexity of new technologies, such as microservices, APIs, and other distributed components, demands new challenges. Our methodology provides a comprehensive workflow aggregating existing methodologies such as STRIDE, CVSS, and ADT in a hybrid format and distinct modeling phases. With this approach, through easy traceability and maintenance, it was possible to visualize each component’s global and specific threats and the relationship between the components and countermeasures for each threat. As a result, HyVAW proved to be suitable for analyzing the different threats in each part of the proposed system and mainly for communication between the parts of the security mechanism through exemplification using a distributed project and through a comparison with other related works.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100654"},"PeriodicalIF":0.0,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-10DOI: 10.1016/j.joitmc.2025.100661
Miguel A. Bustamante-Ubilla , Mauricio Carvache-Franco , Orly Carvache-Franco , María del Carmen Lapo , Wilmer Carvache-Franco
This study seeks to determine the most relevant dimensions of service quality expectations contained in the Servqual model, applied to the healthcare sector. It seeks to open a space for open innovation based on users' ex ante needs, with the goal of suggesting strategic management actions to guide the work of service providers. The study was conducted based on 533 interviews with healthcare users in the clinical units where they receive care. Expectations were collected using a seven-point scale. They were analyzed using means analysis and a principal components factorial model, and ratified using the structural equation method to define their internal structure. The results reveal that the expectation dimensions of "security and assertiveness," "punctuality and professional dedication," and "personalized attention" shape the quality of service expected by users, structuring a system of significantly related factors that form a coherent construct. The findings of this work suggest a system of service quality dimensions expected by users that managers could adopt, on the one hand, to support some managerial decisions and, on the other, to identify some components of the services provided that could be intervened in order to respond to the ex ante needs of users. We conclude that the model shows that the three latent factors define expectations and reveal potential areas for improvement, as expected by users. Furthermore, it was found that these factors establish mutually influential relationships, where the dimensions of security and assertiveness, as well as timeliness and professional dedication, behave as independent exogenous factors.
{"title":"Analysis of expectations for the quality of medical care in the province of Guayas (Ecuador), through Servqual","authors":"Miguel A. Bustamante-Ubilla , Mauricio Carvache-Franco , Orly Carvache-Franco , María del Carmen Lapo , Wilmer Carvache-Franco","doi":"10.1016/j.joitmc.2025.100661","DOIUrl":"10.1016/j.joitmc.2025.100661","url":null,"abstract":"<div><div>This study seeks to determine the most relevant dimensions of service quality expectations contained in the Servqual model, applied to the healthcare sector. It seeks to open a space for open innovation based on users' ex ante needs, with the goal of suggesting strategic management actions to guide the work of service providers. The study was conducted based on 533 interviews with healthcare users in the clinical units where they receive care. Expectations were collected using a seven-point scale. They were analyzed using means analysis and a principal components factorial model, and ratified using the structural equation method to define their internal structure. The results reveal that the expectation dimensions of \"security and assertiveness,\" \"punctuality and professional dedication,\" and \"personalized attention\" shape the quality of service expected by users, structuring a system of significantly related factors that form a coherent construct. The findings of this work suggest a system of service quality dimensions expected by users that managers could adopt, on the one hand, to support some managerial decisions and, on the other, to identify some components of the services provided that could be intervened in order to respond to the ex ante needs of users. We conclude that the model shows that the three latent factors define expectations and reveal potential areas for improvement, as expected by users. Furthermore, it was found that these factors establish mutually influential relationships, where the dimensions of security and assertiveness, as well as timeliness and professional dedication, behave as independent exogenous factors.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100661"},"PeriodicalIF":0.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145325351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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