Journal of Open Innovation: Technology, Market, and Complexity最新文献

{"title":"Digitalisation dynamics: Developing a global index for digital pioneers, adapters, and followers","authors":"Ushan Kumara ,&nbsp;Dilan Wijerathna ,&nbsp;Ruwan Jayathilaka","doi":"10.1016/j.joitmc.2025.100540","DOIUrl":"10.1016/j.joitmc.2025.100540","url":null,"abstract":"<div><div>Digitalisation has become a transformative force revamping economies, societies, and governance systems. It has fostered innovation and enhanced global competitiveness in an interconnected world. This study aims to construct a composite index for digitalisation to evaluate global digitalisation levels and categorise nations as digital pioneers, adapters, and followers. The index is developed using a Principal Component based on Factor Analysis, utilising secondary data gathered from World Development Indicators from 2010 to 2022. The study highlights that the United States, Hong Kong, Singapore, China, and Korea dominate the top tier as digital pioneers through adopting emerging fourth-industrial revolution technologies such as artificial intelligence, blockchain, etc. Moreover, nations like Japan, Switzerland, Estonia, Czechia, and Iceland are categorised as digital adapters due to less digital investments in digital technologies and building digital ecosystems. At the same time, Madagascar, Paraguay, Ecuador, Guatemala, and Egypt remain at the bottom of the index as digital followers due to existing digital gap and digital literacy and skills among the population. This evidence provides digitalisation index an effective tool for policymakers and researchers to assess each nation's digitalisation levels and technological readiness, to formulate strategies and policies to enhance digital interaction, foster innovation, and promote economic growth.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100540"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879283","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}

{"title":"Does absorptive capacity foster open innovation? Examining the impact of innovativeness and risk-taking on the innovative performance of tourism firms","authors":"Bernardo De la Gala-Velásquez ,&nbsp;Américo Hurtado-Palomino ,&nbsp;Patricia Pilar Zirena-Bejarano ,&nbsp;Angela Yuliana Arredondo-Salas","doi":"10.1016/j.joitmc.2025.100538","DOIUrl":"10.1016/j.joitmc.2025.100538","url":null,"abstract":"<div><div>To maintain competitiveness and sustainability, firms must implement a combination of internal and external strategies that enhance their innovation potential. This study identifies absorptive capacity (ACAP) as a strategic antecedent of open innovation (OI) and examines its effect on innovative performance (IP). Additionally, it investigates the mediating role of innovativeness and the moderating effect of risk-taking. The empirical analysis was conducted using data from 238 tourism firms located in Peru’s World Heritage Cities. The findings confirm the positive impact of absorptive capacity on innovative performance. Furthermore, innovativeness partially mediates the relationship between absorptive capacity and innovative performance, while risk-taking strengthens this relationship. This study contributes to the existing literature by demonstrating how innovativeness, risk-taking, and absorptive capacity all have complementing effects on the creative performance of tourism firms. Moreover, it provides knowledge and information for managerial decision-making in the field of tourism enterprises.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100538"},"PeriodicalIF":0.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887748","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}

{"title":"A new methodology to track the dynamics of structural transformation applied to the case of a developing country","authors":"Zakaria Elouaourti ,&nbsp;Aomar Ibourk","doi":"10.1016/j.joitmc.2025.100539","DOIUrl":"10.1016/j.joitmc.2025.100539","url":null,"abstract":"<div><div>This paper introduces a novel empirical approach, combining sigma convergence and sigma counterfactual statistics, to examine the dynamics of structural transformation in Morocco from 1990 to 2018. The findings reveal that Morocco experienced structural transformation driven by labor productivity reallocation across sectors during specific sub-periods (1991–1993, 1996–1997, and 1998–2003). However, this process came to an abrupt halt after 2004. Sectoral analysis highlights that the reallocation of labor from the primary and secondary sectors to the tertiary sector contributed to the observed changes, particularly during the early 2000s. By proposing this innovative methodology, the study makes a significant contribution to the literature on structural transformation, offering a replicable framework to analyze similar dynamics in diverse contexts and addressing a critical methodological gap.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100539"},"PeriodicalIF":0.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869384","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}

{"title":"A study of digital startups movement in Malang Raya, Indonesia","authors":"Sausan Putri Pratiwi,&nbsp;Noermijati,&nbsp;Rofiaty,&nbsp;Sudjatno","doi":"10.1016/j.joitmc.2025.100535","DOIUrl":"10.1016/j.joitmc.2025.100535","url":null,"abstract":"<div><div>This study examines the meso-level dynamics of regional innovation through inter-organizational relationships and institutional frameworks in Indonesia's digital startup ecosystem, focusing on Malang Raya under the National Movement of 1000 Digital Startups Program. Through qualitative case study methodology, data was collected from 12 key informants representing the five elements of the Pentahelix model: government, academia, business, community, and media. The analysis, conducted using NVivo 12 (software specifically designed for qualitative data analysis), revealed distinct patterns of formal and informal institutional interactions that significantly influence ecosystem development. Key findings demonstrate that successful regional innovation dynamics depend on six critical factors: power distribution, trust-building mechanisms, resource allocation, regional readiness, implementation challenges, and market opportunities. The study identifies how formal institutions (such as government regulations and programs) interact with informal institutions (including cultural values and local networks) to create unique collaborative environments. A notable finding is the central role of knowledge-sharing networks and collaborative platforms in bridging formal and informal institutional gaps. This research contributes to both theoretical understanding of regional innovation systems and practical implementation of multi-stakeholder collaboration models in emerging digital economies. The findings provide valuable insights for policymakers and ecosystem stakeholders in designing effective strategies for accelerating digital startup development through enhanced stakeholder synergy.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100535"},"PeriodicalIF":0.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852332","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}

{"title":"Lean and digitalisation application in a micro-enterprise educational institution","authors":"John O’Shanahan ,&nbsp;José Carlos Sá ,&nbsp;M. Thenarasu ,&nbsp;Manjeet Kharub ,&nbsp;Olivia McDermott","doi":"10.1016/j.joitmc.2025.100537","DOIUrl":"10.1016/j.joitmc.2025.100537","url":null,"abstract":"<div><div>This study aims to utilise Lean and basic digitalisation methods in a family-run Irish microenterprise and educational institution to improve customer service and reduce non-value added activities. This case study within an Irish educational provider and micro-enterprise utilised the structured Define, Measure, Analyse, Improve, and Control methodology to highlight areas of the educational institution's processes and services to improve. The project led to the use of Lean and basic digitalisation methods to identify non-value add activities in online exam delivery, attendance tracking, tutor contract setup and course scheduling, which resulted in reducing or eliminating over-processing and some automation of processes. The study, while only conducted in one educational institution and micro-enterprise, is an example of Lean implementation in an Irish second-level educational provider, and the learnings can be leveraged. The wider educational sector can benchmark how the improvement aided not only course delivery and scheduling but also attendance checking and payment scheduling. Educational organisations and micro enterprises can use this study to understand the benefits of adopting Lean, particularly in administration processes, to improve process efficiency and reduce non-value added activity. This is the first practical case study on Lean and digitisation deployment in an Irish second-level educational service provider, if not the first globally and one of few studies on Lean application in micro-enterprises. The study can be used to benchmark how Lean and digitisation can benefit microenterprises in particular and showcase innovation via the aforementioned areas.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100537"},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848570","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}

{"title":"AI adoption in higher education: Advancing sustainable energy management in palestinian universities","authors":"Mohannad Moufeed Ayyash,&nbsp;Omar Hasan Salah","doi":"10.1016/j.joitmc.2025.100534","DOIUrl":"10.1016/j.joitmc.2025.100534","url":null,"abstract":"<div><h3>Purpose</h3><div>Advancements in artificial intelligence (AI) have significant potential for university energy management in Palestine, but effective integration of AI in campus sustainability programs will depend on the willingness of lecturers to use AI. In this research, Theory of Reasoned Action (TRA), Technology Acceptance Model (TAM), Diffusion of Innovations (DoI), and Resource-Based View (RBV) have been adopted to investigate mediator role of AI adoption intention in AI use. Besides, AI use is situated in harmony with international frameworks for sustainability, such as the UN Sustainable Development Goals (SDGs), the Talloires Declaration, and Agenda 2030, with a view to AI contribution towards increased efficiency in terms of energy in universities.</div></div><div><h3>Design/methodology/approach</h3><div>A quantitative approach was adopted, with a cross-sectional survey of 269 university lecturers in two universities in Palestine, with simple random selection. Partial Least Squares Structural Equation Modeling (PLS-SEM) examined technological readiness, perceived benefits, financial constraint, awareness, and AI intention for use in a study. Validated scales for measurement assured measurement reliability, and mediating effects examined in terms of testing for routes towards AI use in energy management.</div></div><div><h3>Findings</h3><div>The results reveal that technological readiness, perceived benefits, financial constraints, and awareness have a significant impact on AI adoption for energy management in terms of lecturers' intention to use AI in future implementations. Perceived benefits and awareness played a most significant role. Adoption intention was discovered to act as a mediator between these factors and future AI use, supporting investments in AI infrastructure, overcoming financial barriers, and awareness programs in institutions.</div></div><div><h3>Originality/value</h3><div>This study provides a novel contribution by integrating multiple theoretical frameworks to understand AI adoption for energy management in Palestinian universities. It highlights AI’s role in advancing sustainability in higher education and offers insights for educators, administrators, and policymakers in fostering AI-driven energy efficiency initiatives.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100534"},"PeriodicalIF":0.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869383","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}

{"title":"Organizational performance and competitive advantage in SMEs: The role of green innovation and knowledge management","authors":"Fandi Achmad ,&nbsp;Iwan Inrawan Wiratmadja","doi":"10.1016/j.joitmc.2025.100532","DOIUrl":"10.1016/j.joitmc.2025.100532","url":null,"abstract":"<div><div>Small and Medium-sized Enterprises (SMEs) are vital to economic growth, job creation, and sustainable development. However, sustainability remains a challenge, especially for SMEs in developing countries facing resource limitations, market fluctuations, and technological constraints. Among them, Batik SMEs in Indonesia struggle with barriers to green innovation, such as limited knowledge, shifting market trends, rising production costs, and a lack of innovation, threatening long-term sustainability. This study examines the role of knowledge management (KM) in fostering green innovation (GI) and its impact on organizational performance (OP) and competitive advantage (CA) in Batik SMEs. A quantitative survey was conducted with 191 Batik SMEs in Rembang Regency and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The research model tests four hypotheses: The first hypothesis is that KM has a positive effect on GI; the second hypothesis is that GI improves OP; the third hypothesis is that OP strengthens CA, and the fourth hypothesis is that innovation capability moderates the relationship between KM and GI. The findings confirm that KM significantly enhances GI (β=0.401, p &lt; 0.05), which positively influences OP (β=0.508, p &lt; 0.05). Furthermore, OP strengthens CA. However, innovation capability does not significantly moderate the relationship between KM and GI (p &gt; 0.05). These results highlight the crucial roles of knowledge management and green innovation in improving performance and competitiveness. SME owners and managers are encouraged to integrate green innovation into business strategies while strengthening internal capabilities to support sustainable practices. By doing so, Batik SMEs can enhance organizational performance, maintain market competitiveness, and achieve long-term sustainability.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100532"},"PeriodicalIF":0.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817503","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}

{"title":"Knowledge management and M&A networks in China's mature firms. An empirical study","authors":"Suleman Bawa ,&nbsp;Xie Yongping ,&nbsp;Ibn Wahab Benin","doi":"10.1016/j.joitmc.2025.100533","DOIUrl":"10.1016/j.joitmc.2025.100533","url":null,"abstract":"<div><div>This study investigates the influence of knowledge management (KM) and merger and acquisition (M&amp;A) networks on the effectiveness of innovation networks within mature entrepreneurial firms. By focusing on a sample of 4139 firms listed on the Chinese stock market and analyzing 8563 M&amp;A transactions from the mid-2000s to 2023, the research aims to explore how these strategic networks shape entrepreneurial innovation, with particular attention to the moderating role of absorptive capacity (AC) and the impact of entrepreneurial uncertainty. A mixed-method approach, combining structural equation modelling (SEM) and qualitative interviews, was employed to evaluate the relationships between KM, M&amp;A, and innovation networks. SEM facilitated the assessment of hypothesized connections and mediation effects, while interviews with key stakeholders provided qualitative insights into the practical nuances of network interactions and strategies in mature firms. The study finds that KM practices, such as effective planning and knowledge acquisition, alongside M&amp;A networks, collectively enhance the effectiveness of innovation networks. While KM promotes operational and strategic alignment, M&amp;A networks support stakeholder decision-making, thus reinforcing firm operations. Absorptive capacity (AC) significantly mediates the relationship between KM, M&amp;A networks, and innovation network effectiveness. However, entrepreneurial uncertainty diminishes the effectiveness of KM and M&amp;A networks but simultaneously enhances innovation networks' outcomes, underscoring mature firms' adaptability in uncertain environments. This research deepens the understanding of innovation networks in mature entrepreneurial firms by applying the Knowledge-Based View (KBV) framework, highlighting the strategic role of KM and M&amp;A networks. It offers new insights into how mature firms in emerging economies can leverage knowledge assets for sustained innovation and competitive advantage. The findings provide implications for practice and policy, suggesting that mature firms strategically manage KM and M&amp;A activities to enhance innovation networks, even under varying levels of entrepreneurial uncertainty.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100533"},"PeriodicalIF":0.0,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817504","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}

{"title":"Enhancing financial product forecasting accuracy using EMD and feature selection with ensemble models","authors":"Eddy Suprihadi ,&nbsp;Nevi Danila ,&nbsp;Zaiton Ali","doi":"10.1016/j.joitmc.2025.100531","DOIUrl":"10.1016/j.joitmc.2025.100531","url":null,"abstract":"<div><div>This study examines the impact of Empirical Mode Decomposition (EMD) and Recursive Feature Elimination (RFE) on the prediction of financial product performance employing several ensemble machine learning models, including Random Forest, XGBoost, LightGBM, AdaBoost, CatBoost, Bagging, and ExtraTrees. The research sample comprises ten diverse financial products such as stocks, indices, cryptocurrencies, and commodities. The findings reveal that the combination of EMD and RFE significantly enhances prediction accuracy, with XGBoost delivering the best results. Although all ensemble models benefited from these preprocessing techniques, XGBoost, Random Forest, and LightGBM consistently outperformed the others. This research underscores the critical role of EMD and RFE in improving the predictive capabilities of machine learning models in the dynamic and complex landscape of financial markets, offering valuable insights for practitioners aiming to enhance forecasting accuracy.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100531"},"PeriodicalIF":0.0,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791562","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}

{"title":"Can VUCA events catalyze digital public sector innovations? Evidence from three digital innovation trends in Asia","authors":"Aarthi Raghavan ,&nbsp;Mehmet Akif Demircioglu ,&nbsp;Serik Orazgaliyev","doi":"10.1016/j.joitmc.2025.100529","DOIUrl":"10.1016/j.joitmc.2025.100529","url":null,"abstract":"<div><div>VUCA (volatile, uncertain, complex and ambiguous) events like COVID-19 can create unpredictable scenarios for public sector to tackle, forcing them to adopt digital applications to respond to challenges more quickly. COVID-19 saw governments pursuing digital public sector innovation more proactively, especially in Asia. We use the following three case studies to understand how COVID-19 accelerated digital public sector innovation across Asian countries: 1) digital contact tracing applications, 2) digital health certificates, and 3) AI chatbots. Using the OECD Framework on Facets of Innovation, we analyze the evolution of these innovations across Asian countries between 2020 and 2024. Some of the key findings from the analysis are 1) innovations developed and/or adopted during the crisis evolve from uncertainty to certainty in terms of the intended goals of the innovation, 2) innovations that begin as a top-down reform tend to evolve and take bottom-up approaches for greater citizen participation over time, 3) advanced technologies adopted during the crisis tend to continue its evolution even after the crisis has ended, giving rise to potential new applications. The findings suggest a clear shaping effect of crisis events on digital public sector innovations in Asia.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100529"},"PeriodicalIF":0.0,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817773","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}