Journal of Open Innovation: Technology, Market, and Complexity最新文献_第2页

Dynamic capabilities for omnichannel transformation in MSMEs: A comparative case study of fashion and furniture sectors

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-02-18 DOI: 10.1016/j.joitmc.2025.100498

Atik Febriani , Bertha Maya Sopha , Muhammad Arif Wibisono

Omnichannel is one of the most recent trends in online shopping, retail, and contact centers. It provides a seamless and integrated customer experience across all available communication channels. MSMEs play a crucial role in developing economies, but their journey towards omnichannel integration faces significant challenges due to limited resources, managerial commitment, and technological adaptability. This study explores the stages of transformation towards omnichannel adoption among micro, small, and medium enterprises (MSMEs) in fashion and furniture, as representative subsectors of Indonesia's creative economy, focusing on the dynamic capabilities. This research addresses the gap in understanding how different MSMEs navigate these challenges through various stages of transformation. Using a multiple case study approach, the research investigates two MSMEs in fashion and furniture industries through in-depth interviews and document analysis. Findings reveal that fashion MSMEs leverage real-time inventory management and personalized customer engagement for rapid integration, whereas furniture MSMEs adopt incremental approaches focused on logistical efficiency and collaboration with external partners. By emphasizing sector-specific applications of dynamic capabilities—sensing, seizing, and transforming—this study underscores the importance of collaborative alliances and leadership in addressing operational challenges. Practical implications include strategies for MSMEs to enhance competitiveness through tailored omnichannel solutions. These insights offer practical implications for MSMEs aiming to enhance their competitive edge through omnichannel strategies.

{"title":"Dynamic capabilities for omnichannel transformation in MSMEs: A comparative case study of fashion and furniture sectors","authors":"Atik Febriani , Bertha Maya Sopha , Muhammad Arif Wibisono","doi":"10.1016/j.joitmc.2025.100498","DOIUrl":"10.1016/j.joitmc.2025.100498","url":null,"abstract":"<div><div>Omnichannel is one of the most recent trends in online shopping, retail, and contact centers. It provides a seamless and integrated customer experience across all available communication channels. MSMEs play a crucial role in developing economies, but their journey towards omnichannel integration faces significant challenges due to limited resources, managerial commitment, and technological adaptability. This study explores the stages of transformation towards omnichannel adoption among micro, small, and medium enterprises (MSMEs) in fashion and furniture, as representative subsectors of Indonesia's creative economy, focusing on the dynamic capabilities. This research addresses the gap in understanding how different MSMEs navigate these challenges through various stages of transformation. Using a multiple case study approach, the research investigates two MSMEs in fashion and furniture industries through in-depth interviews and document analysis. Findings reveal that fashion MSMEs leverage real-time inventory management and personalized customer engagement for rapid integration, whereas furniture MSMEs adopt incremental approaches focused on logistical efficiency and collaboration with external partners. By emphasizing sector-specific applications of dynamic capabilities—sensing, seizing, and transforming—this study underscores the importance of collaborative alliances and leadership in addressing operational challenges. Practical implications include strategies for MSMEs to enhance competitiveness through tailored omnichannel solutions. These insights offer practical implications for MSMEs aiming to enhance their competitive edge through omnichannel strategies.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100498"},"PeriodicalIF":0.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multilayer network analysis of open innovation partnerships

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-02-13 DOI: 10.1016/j.joitmc.2025.100496

Andrew Terhorst , Ian Elsum , Melanie McGrath

The success of open innovation (OI) partnerships depends on the careful management of diverse relational dynamics, including trust, knowledge-sharing, and problem-solving interactions. This study applies multilayer network analysis to examine the relational dynamics of three distinct OI partnerships in the food and agriculture sector. By analysing eight relationship layers, we examine how different types of interactions shape collaboration. The findings reveal that affect-based and cognition-based trust drive network cohesion and influence core-periphery community structures at different stages of innovation. Core communities, characterized by high multilayer participation and dense ties, rely on trust to enable complex, multi-dimensional interactions essential for ideation and execution. Peripheral communities, with less overlap in trust-related layers, play more transactional roles, emphasizing exploration and knowledge diversity. Tacit knowledge exchange is vital for addressing uncertainty, though it remains limited to specific relational contexts. These findings underscore the utility of multilayer network methods for understanding the intricate structures of OI partnerships and offer actionable strategies for fostering trust-based collaboration in innovation ecosystems.

{"title":"Multilayer network analysis of open innovation partnerships","authors":"Andrew Terhorst , Ian Elsum , Melanie McGrath","doi":"10.1016/j.joitmc.2025.100496","DOIUrl":"10.1016/j.joitmc.2025.100496","url":null,"abstract":"<div><div>The success of open innovation (OI) partnerships depends on the careful management of diverse relational dynamics, including trust, knowledge-sharing, and problem-solving interactions. This study applies multilayer network analysis to examine the relational dynamics of three distinct OI partnerships in the food and agriculture sector. By analysing eight relationship layers, we examine how different types of interactions shape collaboration. The findings reveal that affect-based and cognition-based trust drive network cohesion and influence core-periphery community structures at different stages of innovation. Core communities, characterized by high multilayer participation and dense ties, rely on trust to enable complex, multi-dimensional interactions essential for ideation and execution. Peripheral communities, with less overlap in trust-related layers, play more transactional roles, emphasizing exploration and knowledge diversity. Tacit knowledge exchange is vital for addressing uncertainty, though it remains limited to specific relational contexts. These findings underscore the utility of multilayer network methods for understanding the intricate structures of OI partnerships and offer actionable strategies for fostering trust-based collaboration in innovation ecosystems.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100496"},"PeriodicalIF":0.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Accelerating AI-powered digital innovation through “APSS'': A novel methodology for sustainable business AI transformation

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-02-13 DOI: 10.1016/j.joitmc.2025.100495

Denia Kanellopoulou, George Giannakopoulos, Vangelis Karkaletsis

The rapid rise of Artificial Intelligence (AI) brings forth an array of challenges and concerns that might hinder adoption and prevent the seizing of innovation opportunities. Coupled with the low success rate of digitalisation projects, the urgency for a structured approach to AI-driven business transformation becomes paramount. This article introduces the “APSS” methodology — a four-phase conceptual framework comprising Awareness, Piloting, Scaling, and Sustainability — designed to guide organisations through successful and sustainable AI-powered transformations. The methodology outlines a systematic progression: building organisational awareness, piloting AI applications to address specific business needs, scaling successful initiatives, and embedding AI into long-term strategies for sustained impact. Grounded in both theoretical and practical application insights, the “APSS” methodology offers a comprehensive roadmap for mitigating risks, fostering collaboration, and driving innovation. A case study demonstrates the implementation of the methodology in a major technology-driven organisation in Greece, highlighting its applicability and effectiveness in overcoming adoption barriers and creating measurable business value. This work contributes to the academic and practical discourse by offering a replicable practical yet academically backed framework for AI adoption that integrates change management, open innovation, and human-centricity principles.

{"title":"Accelerating AI-powered digital innovation through “APSS'': A novel methodology for sustainable business AI transformation","authors":"Denia Kanellopoulou, George Giannakopoulos, Vangelis Karkaletsis","doi":"10.1016/j.joitmc.2025.100495","DOIUrl":"10.1016/j.joitmc.2025.100495","url":null,"abstract":"<div><div>The rapid rise of Artificial Intelligence (AI) brings forth an array of challenges and concerns that might hinder adoption and prevent the seizing of innovation opportunities. Coupled with the low success rate of digitalisation projects, the urgency for a structured approach to AI-driven business transformation becomes paramount. This article introduces the “APSS” methodology — a four-phase conceptual framework comprising Awareness, Piloting, Scaling, and Sustainability — designed to guide organisations through successful and sustainable AI-powered transformations. The methodology outlines a systematic progression: building organisational awareness, piloting AI applications to address specific business needs, scaling successful initiatives, and embedding AI into long-term strategies for sustained impact. Grounded in both theoretical and practical application insights, the “APSS” methodology offers a comprehensive roadmap for mitigating risks, fostering collaboration, and driving innovation. A case study demonstrates the implementation of the methodology in a major technology-driven organisation in Greece, highlighting its applicability and effectiveness in overcoming adoption barriers and creating measurable business value. This work contributes to the academic and practical discourse by offering a replicable practical yet academically backed framework for AI adoption that integrates change management, open innovation, and human-centricity principles.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100495"},"PeriodicalIF":0.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cultivating sustainability: Harnessing open innovation and circular economy practices for eco-innovation in agricultural SMEs

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-02-12 DOI: 10.1016/j.joitmc.2025.100494

Wongsatorn Worakittikul , Wutthiya Aekthanate Srisathan , Kanokon Rattanpon , Ammika Kulkaew , Jakkaphong Groves , Pongwoot Pontun , Phaninee Naruetharadhol

The increasing environmental pressures on businesses have driven a global shift toward sustainability, particularly within small and medium-sized enterprises (SMEs). Despite the growing adoption of open innovation and circular economy (CE) practices, a gap remains in understanding how open innovation influences eco-processes, eco-products, and eco-managerial practices—core components of CE—drive eco-innovation in SMEs. Addressing this gap, this study investigates the interplay between open innovation, CE practices and SME initiatives in fostering the development of sustainable products, focusing on the agricultural sector in Thailand. Through Partial Least Squares Structural Equation Modeling (PLS-SEM) and survey data collected using a purposive sampling technique from 211 SMEs across Thailand, the study reveals critical insights. The findings indicate that eco-processes are the most influential component of CE practices in enhancing SME initiatives. Additionally, SME initiatives significantly contribute to the creation of sustainable products, particularly new products from waste and eco-friendly products. However, the study finds that eco-products and eco-managerial practices have limited influence on SME initiatives, highlighting the need for more targeted approaches in these areas. This study bridges the research gap by demonstrating how CE practices enable SMEs in agriculture to achieve sustainability. The findings emphasize the practical value of integrating eco-processes into business strategies while suggesting improvements in eco-product and eco-managerial frameworks. By advancing the understanding of CE-driven eco-innovation in SMEs, this research provides actionable insights for policymakers, SME managers, and stakeholders seeking to enhance environmental performance and competitive advantage in emerging markets.

{"title":"Cultivating sustainability: Harnessing open innovation and circular economy practices for eco-innovation in agricultural SMEs","authors":"Wongsatorn Worakittikul , Wutthiya Aekthanate Srisathan , Kanokon Rattanpon , Ammika Kulkaew , Jakkaphong Groves , Pongwoot Pontun , Phaninee Naruetharadhol","doi":"10.1016/j.joitmc.2025.100494","DOIUrl":"10.1016/j.joitmc.2025.100494","url":null,"abstract":"<div><div>The increasing environmental pressures on businesses have driven a global shift toward sustainability, particularly within small and medium-sized enterprises (SMEs). Despite the growing adoption of open innovation and circular economy (CE) practices, a gap remains in understanding how open innovation influences eco-processes, eco-products, and eco-managerial practices—core components of CE—drive eco-innovation in SMEs. Addressing this gap, this study investigates the interplay between open innovation, CE practices and SME initiatives in fostering the development of sustainable products, focusing on the agricultural sector in Thailand. Through Partial Least Squares Structural Equation Modeling (PLS-SEM) and survey data collected using a purposive sampling technique from 211 SMEs across Thailand, the study reveals critical insights. The findings indicate that eco-processes are the most influential component of CE practices in enhancing SME initiatives. Additionally, SME initiatives significantly contribute to the creation of sustainable products, particularly new products from waste and eco-friendly products. However, the study finds that eco-products and eco-managerial practices have limited influence on SME initiatives, highlighting the need for more targeted approaches in these areas. This study bridges the research gap by demonstrating how CE practices enable SMEs in agriculture to achieve sustainability. The findings emphasize the practical value of integrating eco-processes into business strategies while suggesting improvements in eco-product and eco-managerial frameworks. By advancing the understanding of CE-driven eco-innovation in SMEs, this research provides actionable insights for policymakers, SME managers, and stakeholders seeking to enhance environmental performance and competitive advantage in emerging markets.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100494"},"PeriodicalIF":0.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stakeholder interactions and ethical imperatives in big data and AI development

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-02-09 DOI: 10.1016/j.joitmc.2025.100491

Jarosław Brodny, Magdalena Tutak

The rapid development of new technologies, particularly Big Data and artificial intelligence, brings numerous advantages and benefits but also presents specific risks. Expanding technological capabilities to record, archive, and process vast amounts of data can lead to unethical uses, especially concerning sensitive information, where misuse may infringe on citizens' privacy and rights. To address this issue, the paper presents research findings on the prospects and challenges of advancing these technologies in the context of data ethics and privacy. It includes an identification and characterization of stakeholders involved in the development and implementation processes of Big Data and AI technologies. These stakeholders include individual users, technology companies, governments and public institutions (regulatory bodies), NGOs, researchers, investors, media, companies, and the international community. The model developed on this basis also enabled identification of connections and interactions between these stakeholders, which is crucial for integrating ethics into these processes. Additionally, a SWOT analysis was conducted to identify strengths, weaknesses, opportunities, and threats in the development and implementation processes of Big Data and AI. Based on this analysis, in-depth assessments were made regarding the challenges and prospects for advancing these technologies while meeting ethical standards and protecting user privacy. The findings highlight both the threats and the significant potential for these technologies’ growth. They also underscore the importance of balanced development that considers economic, environmental, and social dimensions, alongside ethical principles that respect individuals' right to privacy. This work aims to contribute meaningfully to the discussion on the ethical development of our modern world. It is crucial to remember citizens' fundamental rights to privacy within this rapid development. However, ethical considerations should not limit the growth of new technologies but rather stimulate and guide it accordingly.

{"title":"Stakeholder interactions and ethical imperatives in big data and AI development","authors":"Jarosław Brodny, Magdalena Tutak","doi":"10.1016/j.joitmc.2025.100491","DOIUrl":"10.1016/j.joitmc.2025.100491","url":null,"abstract":"<div><div>The rapid development of new technologies, particularly Big Data and artificial intelligence, brings numerous advantages and benefits but also presents specific risks. Expanding technological capabilities to record, archive, and process vast amounts of data can lead to unethical uses, especially concerning sensitive information, where misuse may infringe on citizens' privacy and rights. To address this issue, the paper presents research findings on the prospects and challenges of advancing these technologies in the context of data ethics and privacy. It includes an identification and characterization of stakeholders involved in the development and implementation processes of Big Data and AI technologies. These stakeholders include individual users, technology companies, governments and public institutions (regulatory bodies), NGOs, researchers, investors, media, companies, and the international community. The model developed on this basis also enabled identification of connections and interactions between these stakeholders, which is crucial for integrating ethics into these processes. Additionally, a SWOT analysis was conducted to identify strengths, weaknesses, opportunities, and threats in the development and implementation processes of Big Data and AI. Based on this analysis, in-depth assessments were made regarding the challenges and prospects for advancing these technologies while meeting ethical standards and protecting user privacy. The findings highlight both the threats and the significant potential for these technologies’ growth. They also underscore the importance of balanced development that considers economic, environmental, and social dimensions, alongside ethical principles that respect individuals' right to privacy. This work aims to contribute meaningfully to the discussion on the ethical development of our modern world. It is crucial to remember citizens' fundamental rights to privacy within this rapid development. However, ethical considerations should not limit the growth of new technologies but rather stimulate and guide it accordingly.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100491"},"PeriodicalIF":0.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Team efficacy and communication satisfaction as a driver of commitment among university entrepreneurship programme participants

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-02-06 DOI: 10.1016/j.joitmc.2025.100493

Attila Lajos Makai , Richard Bavlsík , Tibor Dőry

This research explores how perceived team efficacy and communication satisfaction within student teams influence team members’ commitment and willingness to continue in the context of university entrepreneurship programs. The results suggest that team communication and efficacy are influential from a commitment perspective. The research is based on the results of a quantitative survey among participating HSUP (Hungarian Startup University Program) students—a program available at all major Hungarian universities. The applied SEM modeling method provided an adequate instrument to understand better the impact of perceived team attributes on value and exchange-based commitment and identify some of these variables’ determinants. This research provides empirical evidence that the commitment of nascent student entrepreneurs, framed through project and profession focus, should incorporate a team perspective. The paper also formulates further research directions and implications for the design of university entrepreneurship programs. In addition to professional competencies (e.g., market research methods, business model building, MVP creation), the mentoring process should strengthen effective communication, team efficacy, and spirit within the entrepreneurial group. These elements significantly affect the commitment of group members, which in turn influences their willingness to continue on an individual level.

{"title":"Team efficacy and communication satisfaction as a driver of commitment among university entrepreneurship programme participants","authors":"Attila Lajos Makai , Richard Bavlsík , Tibor Dőry","doi":"10.1016/j.joitmc.2025.100493","DOIUrl":"10.1016/j.joitmc.2025.100493","url":null,"abstract":"<div><div>This research explores how perceived team efficacy and communication satisfaction within student teams influence team members’ commitment and willingness to continue in the context of university entrepreneurship programs. The results suggest that team communication and efficacy are influential from a commitment perspective. The research is based on the results of a quantitative survey among participating HSUP (Hungarian Startup University Program) students—a program available at all major Hungarian universities. The applied SEM modeling method provided an adequate instrument to understand better the impact of perceived team attributes on value and exchange-based commitment and identify some of these variables’ determinants. This research provides empirical evidence that the commitment of nascent student entrepreneurs, framed through project and profession focus, should incorporate a team perspective. The paper also formulates further research directions and implications for the design of university entrepreneurship programs. In addition to professional competencies (e.g., market research methods, business model building, MVP creation), the mentoring process should strengthen effective communication, team efficacy, and spirit within the entrepreneurial group. These elements significantly affect the commitment of group members, which in turn influences their willingness to continue on an individual level.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100493"},"PeriodicalIF":0.0,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Complexity of renewable energy and technological innovation on gender-specific labour market in South African economy

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-02-06 DOI: 10.1016/j.joitmc.2025.100492

Abiola John Asaleye , Thobeka Ncanywa

Despite advancements in renewable energy and technological innovation, significant gaps remain in the empirical literature, especially on gender-specific employment and wages. Coupling with the growing global shift towards renewable energy and technological innovation, motivated by the need to address climate change, reduce fossil fuel dependency, and create sustainable economic pathways, this study investigates the complexities of renewable energy's impact on gender-specific labour market performances. Specifically, the study examines the Environmental Kuznets Curve hypothesis for renewable energy and its influence on employment and wages, assesses the validity of the green growth hypothesis, and the interactive effects of renewable energy and technological innovation by exploring the Autoregressive Distributed Lag model. Findings reveal that renewable energy positively impacts employment across aggregate, male, and female models in both the short and long term; however, its effect on wages varies significantly, initially suppressing wage levels before transitioning to long-term growth. Additionally, the moderating effect of technological innovation promotes employment and wage benefits across all models. The findings across all models demonstrate a high degree of consistency. The study recommends investing in skill development and adopting gender-sensitive policies to promote equitable access to green jobs, supporting inclusive growth. Additionally, it advocates for innovation in the renewable energy sector to drive sustainable advancements.

{"title":"Complexity of renewable energy and technological innovation on gender-specific labour market in South African economy","authors":"Abiola John Asaleye , Thobeka Ncanywa","doi":"10.1016/j.joitmc.2025.100492","DOIUrl":"10.1016/j.joitmc.2025.100492","url":null,"abstract":"<div><div>Despite advancements in renewable energy and technological innovation, significant gaps remain in the empirical literature, especially on gender-specific employment and wages. Coupling with the growing global shift towards renewable energy and technological innovation, motivated by the need to address climate change, reduce fossil fuel dependency, and create sustainable economic pathways, this study investigates the complexities of renewable energy's impact on gender-specific labour market performances. Specifically, the study examines the Environmental Kuznets Curve hypothesis for renewable energy and its influence on employment and wages, assesses the validity of the green growth hypothesis, and the interactive effects of renewable energy and technological innovation by exploring the Autoregressive Distributed Lag model. Findings reveal that renewable energy positively impacts employment across aggregate, male, and female models in both the short and long term; however, its effect on wages varies significantly, initially suppressing wage levels before transitioning to long-term growth. Additionally, the moderating effect of technological innovation promotes employment and wage benefits across all models. The findings across all models demonstrate a high degree of consistency. The study recommends investing in skill development and adopting gender-sensitive policies to promote equitable access to green jobs, supporting inclusive growth. Additionally, it advocates for innovation in the renewable energy sector to drive sustainable advancements.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100492"},"PeriodicalIF":0.0,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating risk factors in automotive supply chains: A hybrid fuzzy AHP-TOPSIS approach with extended PESTLE framework

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-01-31 DOI: 10.1016/j.joitmc.2025.100489

Ishansh Gupta , Seyed Taha Raeisi , Sergio Correa , Hendro Wicaksono

The purpose of this study is to evaluate Exogenous Risk Factors (ERFs) affecting Key Performance Indicators (KPIs) in automotive supply chains, aiming to enhance resilience against global disruptions. The primary research question focuses on identifying and prioritizing ERFs that pose the greatest threat to operational performance. A hybrid decision-making framework integrating Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is employed. Validation is ensured through insights from 18 supply chain professionals with diverse roles and a combined 318 years of experience. The study identifies 34 ERFs, including semiconductor shortages, pandemics, and information infrastructure disruptions, and evaluates their impact on KPIs such as missing parts, backlogs, special transports, and wrong deliveries. By extending the traditional PESTLE framework with Transportation and Material dimensions, this study provides actionable strategies to mitigate risks and strengthen supply chain resilience in volatile environments.

{"title":"Evaluating risk factors in automotive supply chains: A hybrid fuzzy AHP-TOPSIS approach with extended PESTLE framework","authors":"Ishansh Gupta , Seyed Taha Raeisi , Sergio Correa , Hendro Wicaksono","doi":"10.1016/j.joitmc.2025.100489","DOIUrl":"10.1016/j.joitmc.2025.100489","url":null,"abstract":"<div><div>The purpose of this study is to evaluate Exogenous Risk Factors (ERFs) affecting Key Performance Indicators (KPIs) in automotive supply chains, aiming to enhance resilience against global disruptions. The primary research question focuses on identifying and prioritizing ERFs that pose the greatest threat to operational performance. A hybrid decision-making framework integrating Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is employed. Validation is ensured through insights from 18 supply chain professionals with diverse roles and a combined 318 years of experience. The study identifies 34 ERFs, including semiconductor shortages, pandemics, and information infrastructure disruptions, and evaluates their impact on KPIs such as missing parts, backlogs, special transports, and wrong deliveries. By extending the traditional PESTLE framework with Transportation and Material dimensions, this study provides actionable strategies to mitigate risks and strengthen supply chain resilience in volatile environments.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100489"},"PeriodicalIF":0.0,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Customer value co-creation practices for community well-being in E-commerce platform: An information-based perspective

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-01-30 DOI: 10.1016/j.joitmc.2025.100488

Nguyen M. Tuan, Dang T. Doan

The paper investigates the role of customer value co-creation practices within e-commerce platforms, drawing on service dominant logic, practice theory and institutional work. From the customer view, this study proposes an integrated model in which social expertise, organizational socialization, perceived effectiveness of e-commerce institutional mechanisms, controllability as determinants of, and service climate, value in use, community well-being as outcomes of information-based practices. The survey with data from 335 e-commerce customers analyzed by PLS-SEM reports that all research hypotheses are supported. This paper is among the first to evidently highlight the aggregation of value outcomes at micro-level (i.e. service climate, value in use) for an emergence of a collective outcome at meso-level (i.e. community well-being). In addition, this is also one of the first studies, with e-commerce institutional mechanisms found as a significant moderator of both social expertise-controllability and organizational socialization-controllability relationships, to empirically affirm institution as resource context and to explore the way for resource in context to enhance its ‘resourceness’. Finally, the study contributes to service research by identifying all three of information-based value co-creation practices that enable well-being co-creation in service ecosystems.

{"title":"Customer value co-creation practices for community well-being in E-commerce platform: An information-based perspective","authors":"Nguyen M. Tuan, Dang T. Doan","doi":"10.1016/j.joitmc.2025.100488","DOIUrl":"10.1016/j.joitmc.2025.100488","url":null,"abstract":"<div><div>The paper investigates the role of customer value co-creation practices within e-commerce platforms, drawing on service dominant logic, practice theory and institutional work. From the customer view, this study proposes an integrated model in which social expertise, organizational socialization, perceived effectiveness of e-commerce institutional mechanisms, controllability as determinants of, and service climate, value in use, community well-being as outcomes of information-based practices. The survey with data from 335 e-commerce customers analyzed by PLS-SEM reports that all research hypotheses are supported. This paper is among the first to evidently highlight the aggregation of value outcomes at micro-level (i.e. service climate, value in use) for an emergence of a collective outcome at meso-level (i.e. community well-being). In addition, this is also one of the first studies, with e-commerce institutional mechanisms found as a significant moderator of both social expertise-controllability and organizational socialization-controllability relationships, to empirically affirm institution as resource context and to explore the way for resource in context to enhance its ‘resourceness’. Finally, the study contributes to service research by identifying all three of information-based value co-creation practices that enable well-being co-creation in service ecosystems.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100488"},"PeriodicalIF":0.0,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143348387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Embracing open innovation in hospitality management: Leveraging AI-driven dynamic scheduling systems for complex resource optimization and enhanced guest satisfaction

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-01-30 DOI: 10.1016/j.joitmc.2025.100487

Rapeepan Pitakaso , Paulina Golinska-Dawson , Peerawat Luesak , Thanatkij Srichok , Surajet Khonjun

The hospitality sector increasingly grapples with the tension between operational efficiency and personalized guest services. In response, this study develops and evaluates a novel platform for dynamic room cleaning and resource allocation, guided by open innovation principles and complexity theory. Specifically, we propose the Artificial Multiple Intelligence System (AMIS), which employs heuristic-based optimization to coordinate real-time task assignments and ensure equitable workloads for housekeeping staff. We conducted a pilot implementation at a hotel in Ubon Ratchathani Province, Thailand, using a mixed-method approach that combined quantitative metrics with qualitative feedback. Our findings indicate that the AMIS framework substantially improves operational performance, as evidenced by more than a 50 % reduction in average room turnaround times and a task completion rate surpassing 99 %. Additionally, the system promotes balanced workloads and reduces employee working hours, suggesting practical avenues for sustainable workforce management. Beyond operational gains, the platform enhances guest satisfaction by enabling on-demand service customization, underscoring its potential as a source of competitive advantage. By examining both resource efficiency and service personalization, this study sheds light on how AI-driven solutions can address the complexities inherent in hospitality operations. The insights gained extend beyond routine scheduling, demonstrating how computational innovations, when carefully integrated with managerial strategies, can foster adaptable and forward-looking business models. Ultimately, the AMIS framework contributes to discussions on leveraging technology to modernize service delivery and operational planning, while also highlighting broader implications for AI adoption in dynamic service industries.

{"title":"Embracing open innovation in hospitality management: Leveraging AI-driven dynamic scheduling systems for complex resource optimization and enhanced guest satisfaction","authors":"Rapeepan Pitakaso , Paulina Golinska-Dawson , Peerawat Luesak , Thanatkij Srichok , Surajet Khonjun","doi":"10.1016/j.joitmc.2025.100487","DOIUrl":"10.1016/j.joitmc.2025.100487","url":null,"abstract":"<div><div>The hospitality sector increasingly grapples with the tension between operational efficiency and personalized guest services. In response, this study develops and evaluates a novel platform for dynamic room cleaning and resource allocation, guided by open innovation principles and complexity theory. Specifically, we propose the Artificial Multiple Intelligence System (AMIS), which employs heuristic-based optimization to coordinate real-time task assignments and ensure equitable workloads for housekeeping staff. We conducted a pilot implementation at a hotel in Ubon Ratchathani Province, Thailand, using a mixed-method approach that combined quantitative metrics with qualitative feedback. Our findings indicate that the AMIS framework substantially improves operational performance, as evidenced by more than a 50 % reduction in average room turnaround times and a task completion rate surpassing 99 %. Additionally, the system promotes balanced workloads and reduces employee working hours, suggesting practical avenues for sustainable workforce management. Beyond operational gains, the platform enhances guest satisfaction by enabling on-demand service customization, underscoring its potential as a source of competitive advantage. By examining both resource efficiency and service personalization, this study sheds light on how AI-driven solutions can address the complexities inherent in hospitality operations. The insights gained extend beyond routine scheduling, demonstrating how computational innovations, when carefully integrated with managerial strategies, can foster adaptable and forward-looking business models. Ultimately, the AMIS framework contributes to discussions on leveraging technology to modernize service delivery and operational planning, while also highlighting broader implications for AI adoption in dynamic service industries.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100487"},"PeriodicalIF":0.0,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0