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

{"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":"The role of innovation in the transition to a green economy: A path to sustainable growth","authors":"Aleksy Kwilinski ,&nbsp;Zdzislawa Dacko-Pikiewicz ,&nbsp;Katarzyna Szczepanska-Woszczyna ,&nbsp;Oleksii Lyulyov ,&nbsp;Tetyana Pimonenko","doi":"10.1016/j.joitmc.2025.100530","DOIUrl":"10.1016/j.joitmc.2025.100530","url":null,"abstract":"<div><div>The EU has set ambitious targets for carbon neutrality, encapsulated in the European Green Deal. This framework aims to transform the EU into a modern, resource-efficient, and competitive economy with no net emissions of greenhouse gases by 2050. Innovation plays a critical role in developing the technologies and processes required to meet these targets. This study investigates the influence of innovation on green economic growth across EU member states over the period 2007–2022. Employing the PVAR model with GMM estimation to analyse panel data from the Visegrad Group (V4), which includes Poland, Hungary, Slovakia, and the Czech Republic, this research explores the dynamic interplay between innovation activities and green economic growth. The Malmquist<img>Luenberger index is constructed to evaluate green economic growth. According to the empirical results, there is a significant divergence trend in green economic growth among V4 countries. However, overall progress has been made in green economic growth, driven primarily by advancements in technology. Furthermore, the results reveal a statistically significant and positive relationship between innovation and green economic growth, highlighting the indispensable role of technological advancement and sustainable practices in the EU's progression towards a greener economy. The study recommends tailored policy interventions to optimize the benefits of innovation across the region.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100530"},"PeriodicalIF":0.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785676","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":"Exploring creativity and innovation in organizational contexts: A systematic review and bibliometric analysis of key models and emerging opportunities","authors":"Rodrigo de Barros,&nbsp;Luis Mauricio Resende,&nbsp;Joseane Pontes","doi":"10.1016/j.joitmc.2025.100526","DOIUrl":"10.1016/j.joitmc.2025.100526","url":null,"abstract":"<div><div>This paper explores the critical question of how to develop creativity for innovation within organizational contexts, identifying significant gaps in the existing literature. Through a rigorous systematic review and bibliometric analysis, the study examines the intersection of creativity and innovation, addressing three key questions: (1) What are the key models of creativity and innovation discussed in the literature, and how are they applied in organizational contexts? (2) How has recent literature on creativity and innovation evolved to support organizational practice and the development of new frameworks? (3) What gaps and opportunities have been identified in studies on creativity and innovation within organizational contexts, and how can these be addressed in future research? The systematic review resulted in the identification of 462 articles, of which 25 were selected as state-of-the-art based on their relevance and impact. These articles, along with their references, form the core of the bibliometric analysis, which maps the key models, trends, and knowledge gaps in the field. The study concludes that while there are solid theoretical models for understanding creativity and innovation, there is a substantial gap in the practical application of these models, particularly concerning microprocesses—small-scale interactions and behaviours within organizations that are essential for creative development. These microprocesses include specific forms of collaboration, information exchange, and problem-solving within creative teams, which are crucial for fostering creativity in organizational environments. In addition to mapping these gaps, the paper identifies significant opportunities for advancing research, suggesting that future studies focus on how to operationalize and develop these microprocesses to promote innovation more effectively. By highlighting these gaps and opportunities, the study contributes to a deeper understanding of how creativity can be cultivated and applied in organizational contexts, offering clear directions for future research aimed at translating theory into practice.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100526"},"PeriodicalIF":0.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785638","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":"Developing soft skills of Gen Z accountants in the open innovation era: The roles of absorptive capability and self-learning capability","authors":"Pattama Buayai ,&nbsp;Jintanee Ru-Zhue ,&nbsp;Prasit Rungruang ,&nbsp;Berto Usman ,&nbsp;Somnuk Aujirapongpan","doi":"10.1016/j.joitmc.2025.100525","DOIUrl":"10.1016/j.joitmc.2025.100525","url":null,"abstract":"<div><div>This study examines the impact of absorptive capability and self-learning capability on the development of soft skills among generation Z accountants in Thailand within the open innovation era. Using a quantitative approach, data were collected from 510 accountants with at least one year of work experience across various regions. The findings confirm that absorptive capability significantly enhances both self-learning capability and soft skills, with self-learning capability also playing a key mediating role in this relationship. Notably, capability and skill levels vary across regions, experience levels, and organizational types, with accountants in urban and corporate settings demonstrating stronger competencies. These results emphasize the need for revised accounting curricula and targeted educational activities to strengthen absorptive and self-learning capabilities while addressing regional disparities in skill development. The findings have important implications for accounting education and professional training, specifically: (1) integrating experiential learning methods that enhance knowledge absorption, (2) incorporating self-directed learning components that foster continuous skill development, (3) designing region-specific training programs to address geographical competency gaps, and (4) developing digital literacy frameworks that prepare new-generation accountants to navigate the technological challenges of the open innovation era.The findings have important implications for accounting education and professional training, ensuring that new-generation accountants are well-equipped to navigate the challenges of the open innovation era.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100525"},"PeriodicalIF":0.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738077","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":"Financial stress and its determinants in Indonesia: Exploring the moderating effects of digital knowledge, age, and gender","authors":"Rudy Badrudin ,&nbsp;Mochammad Fahlevi ,&nbsp;Sahara Putri Dahlan ,&nbsp;Olivia Putri Dahlan ,&nbsp;Mochamad Dandi","doi":"10.1016/j.joitmc.2025.100528","DOIUrl":"10.1016/j.joitmc.2025.100528","url":null,"abstract":"<div><div>Financial stress (FS) has become a critical issue influencing financial behavior (FB), particularly in the context of Indonesia’s evolving financial environment. This study examines the effects of current money management stress (CMMS) and expected future financial security (EFFS) on FS and its subsequent impact on FB. Additionally, digital knowledge (DK) was assessed as a moderating factor, while age and gender were explored as moderators of financial decision-making patterns. The study utilizes partial least squares structural equation modeling (PLS-SEM) to analyze responses from 514 participants in Jakarta, Surabaya, and Yogyakarta, ensuring a diverse representation of urban financial consumers. The findings confirm that CMMS significantly increases FS, reinforcing the role of immediate financial pressure in shaping financial well-being. While EFFS positively influences FB, it does not significantly reduce FS, suggesting that long-term financial optimism does not necessarily alleviate short-term financial anxiety. The study also finds that FS negatively affects FB, indicating that individuals under stress are more likely to engage in suboptimal financial decisions. Although DK significantly improves FB, it does not directly reduce FS, highlighting the importance of integrating financial education with digital literacy. The moderating effects of age and gender reveal that younger individuals and women experience stronger negative impacts of FS on FB, emphasizing the need for targeted financial education and policy interventions. This study contributes to a deeper understanding of financial well-being among urban financial consumers.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100528"},"PeriodicalIF":0.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759036","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":"Regional innovation and economic growth: Empirical insights from FGLS, FE-DKSE, and XGBoost-SHAP approach","authors":"Sangjae Pyo ,&nbsp;Sang Ok Choi","doi":"10.1016/j.joitmc.2025.100524","DOIUrl":"10.1016/j.joitmc.2025.100524","url":null,"abstract":"<div><div>This study examines the impact of regional innovation factors and their dynamic interactions on regional economic growth. Using a 10-year panel dataset from 17 provinces and cities in South Korea, we analyze the data using panel data regression and explore non-linear relationships with the XGBoost model. We also enhance the model's interpretability by analyzing the impact of the variables on the predictions through Shapley Additive Explanations (SHAP) analysis. In the FGLS analysis, the number of innovative regional firms positively impacted GRDP, suggesting innovative firms boost regional economic output, but had minimal effect on Per Capita Gross Value Added (PCGVA). The proportion of top universities showed no significant impact on GRDP or PCGVA, though XGBoost and SHAP analyses indicated a complex, negative relationship with PCGVA. The interaction between the proportion of top universities and the number of innovative regional firms positively affected GRDP, emphasizing universities' role in supporting innovative firms. The effect of government R&amp;D investment support on PCGVA highlights the importance of appropriate levels of support for maximizing productivity. The results indicate that R&amp;D investment and open innovation significantly influence regional economic growth, with their effects exhibiting non-linear relationships. High-tech and medium-tech industries drive regional economic growth, while low-tech sectors have a negative impact on growth and per capita value-added. This study offers policy implications for fostering regional economic development as well as insights into the intricate links between economic growth and regional innovation factors.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100524"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724112","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":"Prioritizing factors influencing global network readiness index with bayesian belief networks","authors":"Abroon Qazi","doi":"10.1016/j.joitmc.2025.100522","DOIUrl":"10.1016/j.joitmc.2025.100522","url":null,"abstract":"<div><div>The rapid evolution of digital transformation necessitates a comprehensive understanding of national digital readiness. The Network Readiness Index (NRI) serves as a key benchmark for assessing a country's preparedness to leverage digital technologies for economic and societal development. This study uses Bayesian Belief Network (BBN) models to systematically analyze and prioritize the factors influencing the NRI, using data from 134 countries in 2023. Unlike existing studies that primarily adopt conventional techniques, assuming the NRI drivers as independent, this research provides a probabilistic assessment of the interdependencies between the four NRI pillars—technology, people, governance, and impact—and their respective sub-pillars. The findings indicate that 'technology', 'impact', and 'people' are the most influential pillars in shaping digital readiness outcomes, with 'businesses' and 'trust' emerging as critical sub-pillars. The study enhances the existing literature by introducing a predictive framework that informs policymakers and industry leaders on the key levers for improving national digital competitiveness. By offering a network approach to prioritizing digital readiness factors, this research contributes to more effective policy design, strategic investments, and sustainable digital transformation efforts.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100522"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791563","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":"Leveraging dynamic capabilities for digital transformation: Exploring the moderating role of cost in environmental performance of SMEs","authors":"Syed Abidur Rahman ,&nbsp;Nastaran SK Taghizadeh ,&nbsp;Syed Awais Ahmad Tipu ,&nbsp;Shaghayegh Maleki Far","doi":"10.1016/j.joitmc.2025.100523","DOIUrl":"10.1016/j.joitmc.2025.100523","url":null,"abstract":"<div><div>This research aims to explore how digital dynamic capabilities (<em>digital sensing, digital capturing,</em> and <em>digital transforming capability</em>) enable digital transformation to enhance the environmental performance of SMEs in Oman, focusing on understanding the moderating role of cost in this relationship. Data was collected from 409 SMEs through a survey and analyzed by Structural Equation Modelling (SEM) using SmartPLS 4 software. The results show that digital sensing, digital capturing, and digital transforming capabilities are positively related to digital transformation, where digital capturing capability is the strongest dimension of digital capability. Further, the digital transformation of SMEs has a strong relationship with environmental performance. In addition, the transformation cost weakens the significant relationship between digital transformation and environmental performance. The findings of this study are of paramount significance for policy and decision-makers, SME executives, and researchers interested in digital transformation and environmental performance, particularly in developing countries such as Oman. Deviating from conventional wisdom, this study attempts to develop an inclusive understanding of digital transformation efforts that can serve as a benchmark for SMEs toward more successful and sustainable outcomes.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100523"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698156","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":"Not all forms of artificial intelligence are perceived equal: AI functions and work outcomes","authors":"Jieqiong Cao ,&nbsp;Jingxian Yao ,&nbsp;Shuhua Sun ,&nbsp;Zhaoli Song ,&nbsp;Fengzhi Zhang","doi":"10.1016/j.joitmc.2025.100521","DOIUrl":"10.1016/j.joitmc.2025.100521","url":null,"abstract":"<div><div>People hold mixed views about adopting artificial intelligence (AI) in the workplace – some believe that AI facilitates work processes, while others worry that it poses a threat to the importance of human labor. To address this conundrum regarding how employees feel and behave when AI is applied in their jobs, this study builds upon a typology of perceived AI functions and examines how these functions differentially impact employees’ psychological appraisals and subsequently influence their attitudes and behaviors toward AI adoption. Specifically, AI functions are categorized into assistive AI, augmented AI, and autonomous AI. Drawing from cognitive appraisal theory and threat-rigidity theory, the research proposes that these functions are differentially related to opportunity and threat appraisals, which in turn affect employees’ AI learning behavior and job insecurity. Furthermore, AI self-efficacy is hypothesized to function as a moderator that weakens the effects of augmented and autonomous AI on threat appraisal. Three studies using diverse samples and methodologies provide extensive empirical support for the hypotheses. Theoretical and practical implications of the findings are discussed.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100521"},"PeriodicalIF":0.0,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715191","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":"Balancing privacy and usability: A design science research approach for cookie consent mechanisms","authors":"Ammar Abdallah ,&nbsp;Ala'eddin Ahmad ,&nbsp;Belal Said","doi":"10.1016/j.joitmc.2025.100520","DOIUrl":"10.1016/j.joitmc.2025.100520","url":null,"abstract":"<div><div>Digital analytics literature has received increasing research attention regarding website cookies owing to the implementation of the General Data Protection Regulation (GDPR) and its role in online privacy decisions and data collection. However, there is still a gap in the literature about users’ perspectives and beliefs about the intention to accept (opt-in) to the website cookie consent. Therefore, this study focuses on measuring user behavior toward website cookie consent mechanisms by integrating the Technology Acceptance Model (TAM), Protection Motivation Theory (PMT), and Design Science Research (DSR). Through a survey of 384 participants aware of website cookie consent in Jordan, this study examined the influence of factors such as perceived usefulness, ease of use, and threat and coping appraisals on accepting data collection through website cookies while browsing the Internet. The findings highlight the higher influence of perceived ease of use on driving consent, highlighting the need for consent that is user-friendly while protecting data privacy. By integrating DSR, this study incorporates open innovation principles by proposing innovative design requirements for website cookie consents. In addition, it offers valuable insights for both academics and practitioners by proposing a starting point for further investigation of technology acceptance, online privacy decisions, and data collection privacy regulations.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 2","pages":"Article 100520"},"PeriodicalIF":0.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680989","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}