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

{"title":"Technological progress in central and eastern Europe: Digitalization and business innovation leaders and outsiders","authors":"Magdalena Tutak,&nbsp;Jarosław Brodny","doi":"10.1016/j.joitmc.2024.100404","DOIUrl":"10.1016/j.joitmc.2024.100404","url":null,"abstract":"<div><div>Innovation and the associated digitization of the global economy are becoming the foundation of competitiveness and development. This state of affairs affects all regions and countries of the world, especially enterprises, which need to adapt to stay in the market. The situation is particularly challenging in developing countries, whose economic potential is lower than that of developed economies. Addressing this issue, the article presents the results of a study on the degree of digitization and innovation of enterprises in the countries of Central and Eastern Europe (CEE), which are among the group of developing economies. The research included independent assessments of innovation and digitization in these countries, as well as a combined assessment of both processes. It was based on a set of 17 selected indicators characterizing the processes of digitization (9) and innovation (8). The CRITIC method was used to calculate the weights of these indicators, and the TOPSIS method was used to determine the digitization and innovation indices, as well as the final digitization and innovation index. Using the results of this analysis, relationships were determined between the digitization and innovation indices, as well as between the final index (innovation and digitization) and selected economic parameters of the countries under study (CEE). The results show that companies in the studied countries are highly differentiated in terms of their digitization and innovation. The best results in both dimensions were obtained by the Czech Republic and Slovenia, while the weakest were by Latvia and Romania. In terms of business innovation, the Czech Republic and Slovenia are the best performers, while Latvia and Romania are the weakest. On the other hand, Slovenia and the Czech Republic are the leaders in business digitization, while Romania and Bulgaria are the worst performers. The remaining countries fell within the area of average development in these dimensions. The obtained results should be a valuable source of knowledge for assessing the measures taken to date in CEE countries in the field of innovation and digitization. It would also be advisable to use them in the development and implementation of economic policy and the targeting of investment activities in the EU. A major opportunity, especially for improving the innovativeness of CEE countries, could be the Open Innovation concept. Its wider implementation in these countries should improve their performance in this regard.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142446652","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":"Innovation in perspective: The role of creativity and open innovation in B2B, B2C, and B2G business models","authors":"Mauricio Castillo-Vergara ,&nbsp;Omar Carrasco-Carvajal ,&nbsp;Alejandro Álvarez-Marín ,&nbsp;Paul Sarango-Lalangui ,&nbsp;Victor Muñoz-Cisterna","doi":"10.1016/j.joitmc.2024.100399","DOIUrl":"10.1016/j.joitmc.2024.100399","url":null,"abstract":"<div><div>This study explores how creativity and open innovation practices (inbound and outbound) influence product innovation and innovative performance in small and medium-sized enterprises (SMEs) in Chile, using B2B, B2C, and B2G business models as moderating variables. Through empirical analysis based on a sample of 536 SMEs, we applied structural equation modeling to assess the relationship between creativity, open innovation practices, and their impact on product innovation. The results reveal that creativity significantly impacts product innovation and outbound practices, while inbound practices do not directly affect product innovation. Additionally, it was found that product innovation substantially improves the innovative performance of SMEs. This study contributes to the literature by demonstrating how specific open innovation practices and creativity can be leveraged to enhance innovation in SMEs. Adapting these practices should consider the particularities of different business models to maximize their effectiveness.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441425","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":"Co-creation as open innovation and its impact on environmental performance: Comparative insights from university and vocational students","authors":"Siraphat Padthar ,&nbsp;Chavis Ketkaew","doi":"10.1016/j.joitmc.2024.100400","DOIUrl":"10.1016/j.joitmc.2024.100400","url":null,"abstract":"<div><div>This study addresses the urgent need for innovative solutions to environmental issues by focusing on youth development within educational institutions, which play a crucial role in fostering environmentally conscious behaviors. Despite increasing awareness, there is a gap in understanding how educational settings can effectively promote sustainability through collaborative approaches, such as co-creation as an open innovation model and user engagement strategies. This research investigates the mediating role of co-creation between environmental knowledge and environmental performance, comparing university and vocational students. Data were collected from 678 respondents in Thailand and analyzed using structural equation modeling and multigroup analysis. The findings reveal that environmental knowledge positively influences environmental performance and co-creation activities for both groups, with a more significant mediating effect of co-creation among vocational students. This suggests that vocational students respond more effectively to practical, collaborative approaches to digital innovation in the environmental context. The study also highlights the relevance of the Information Deficit Model, which posits that individuals often do not engage in sustainable behaviors due to insufficient knowledge or information. These results demonstrate the critical role of educational institutions in enhancing sustainability practices by leveraging co-creation and environmental knowledge. The insights from this study are valuable for educators and policymakers seeking to develop user engagement strategies tailored to different student groups, ultimately improving environmental performance and fostering innovation in sustainability practices.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530135","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":"Power generation mix in Colombia including wind power: Markowitz portfolio efficient frontier analysis with machine learning","authors":"Sergio Botero Botero ,&nbsp;Claudia María García Mazo ,&nbsp;Francisco Javier Moreno Arboleda","doi":"10.1016/j.joitmc.2024.100402","DOIUrl":"10.1016/j.joitmc.2024.100402","url":null,"abstract":"<div><div>The Colombian power market is hydro-dominated since 67 % of the power produced comes from hydro-power sources. In addition, it has thermal power from natural gas and coal, and in the last years, alternative energy sources such as wind and solar have been introduced, although so far their share is not significant. Due to this condition, the Colombian power market is very volatile and depends on weather conditions. Usually, in rainy seasons prices are low and power is available, while in dry seasons, prices are high and power can be scarce. One of the main advantages of the new energy sources is that they are complementary to hydro-power, in the case of wind regimes, they are higher during dry seasons and lower during rainy seasons. We propose a complementarity analysis in the energy mix using Markowitz Portfolio analysis to determine if the efficient frontier is improved by introducing wind power to the system and the traditional port-folio analysis is improved by introducing Machine Learning (ML) into calculations. Results show that wind power improves the return while minimizing risk. Therefore, wind power would significantly reduce prices in Colombia's power mix while reducing volatility. This work follows the Open Innovation (OI) paradigm, the intersection of Machine Learning, portfolio optimization, and renewable energy presents a promising landscape for research and practical applications. Continued interdisciplinary collaboration and innovation are essential for harnessing the full potential of these technologies for a sustainable energy future.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530134","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":"Empirical insights into business intelligence adoption and decision-making performance during the digital transformation era: Extending the TOE model in the Jordanian banking sector","authors":"Nour Qatawneh","doi":"10.1016/j.joitmc.2024.100401","DOIUrl":"10.1016/j.joitmc.2024.100401","url":null,"abstract":"<div><div>Organisations have been increasingly adopting decision support and business intelligence (BI). However, there is still considerable academic interest in comprehending the factors that influence the decisions to embrace such technologies. Moreover, the use of BI in developing countries, like Jordan, is remain at an early stage. This study examines the factors that impact the adoption of BI in the banking sector. This research also examines at the impact of BI adoption on decision-making performance in Jordan commerce banks. A conceptual framework was formulated as an extension of the Technology-Organization-Environment (TOE) framework to determine how technological, organizational and environmental factors influence the adoption of business intelligence (BI) in the banking sector. An empirical analysis was conducted with a sample of employees working for Jordanian commercial banks. Hypotheses were analysed through partial least squares structural equation modeling (PLS-SEM) using 251 responses that were obtained from respondents using an administered a questionnaire. The outcomes display a significant positive relationship between the TOE factors and the adoption of BI, which emphasizes their criticality as far as shaping BI adoption in commercial banks is concerned. However, it could be noted that organisational readiness related to one of the organisation’s factors has not been found to affect BI adoption. This suggests that further scrutiny is required on specific organisational aspects that can impact on BI adoption in banking environments. Moreover, the study revealed that the adoption of BI greatly improves decision-making performance. These findings highlight the importance of the Jordanian banking sector embracing a complete approach that incorporates cutting-edge technology solutions, a conducive organisational culture, and adaptability in order to maximise the adoption and use of BI. This report provides significant insights for banks aiming to improve their adoption of BI and perform informed and data based decisions in the continually evolving banking sector. The study provides numerous theoretical and practical contributions, acknowledges its limitations, and offers possibilities for future research.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441424","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":"Technical indicator empowered intelligent strategies to predict stock trading signals","authors":"Arjun Singh Saud ,&nbsp;Subarna Shakya","doi":"10.1016/j.joitmc.2024.100398","DOIUrl":"10.1016/j.joitmc.2024.100398","url":null,"abstract":"<div><div>Technical analysis is widely employed in stock trading, relying on popular indicators such as MACD, DMI, KST etc. to predict stock trends. Despite their common use, these lagging indicators can occasionally generate misleading signals. In the literature, machine learning researchers developed many intelligent strategies for predicting stock trading signals using these indicators as inputs. However, significant differences exist in how these indicators are applied by technical analysts and machine learning experts. Building on this knowledge, this study developed intelligent stock trading signal prediction strategies using MACD, DMI, and KST indicators, and implemented these strategies with LSTM and GRU networks due to their ability to manage long-term dependencies and maintain context. The proposed intelligent trading strategies were assessed using ARR, SR, and win rate metrics, based on historical trading data from 18 stocks—six each from NEPSE, BSE, and NYSE—leading to four key insights. (1) For predicting stock trading signals, a 5-day lookback period is optimal for intelligent strategies based on MACD and DMI, while a 10-day period is best for the KST-based strategy. (2) Intelligent trading strategies implemented with GRU networks demonstrated superior performance compared to those implemented with LSTM. (3) The intelligent trading strategies based on MACD, DMI, and KST indicators outperform their peer classical stock trading methods. (4) Among the three proposed intelligent strategies, the MACD-based approach is found to be the safest and most effective.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530137","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":"Big data analytics, GHRM practices, and green digital learning paving the way towards green innovation and sustainable firm performance","authors":"Mohammad Said Ibrahim Alshuaibi ,&nbsp;Adeeb Alhebri ,&nbsp;Sajjad Nawaz Khan ,&nbsp;Adnan Ahmed Sheikh","doi":"10.1016/j.joitmc.2024.100396","DOIUrl":"10.1016/j.joitmc.2024.100396","url":null,"abstract":"<div><div>This research aims to understand the connections among Green Human Resource Management (GHRM) practices, Green Digital Learning Orientation (GDLO), Green Innovation (GI), and Sustainable Firm Performance (SFP) in small and medium-sized enterprises (SMEs) of Saudi Arabia. The data were analyzed utilizing the PLS-SEM approach, whereas data from 341 SMEs was examined. The study findings reveal significant positive relationships between GHRM and GI, GDLO and GI, GHRM practices and GDLO, and GI and SFP. The study supports the mediating role of green innovation in these relationships. Big data analytics is found to moderate the connections between GHRM-GI and GDLO-GI. This study is the first to establish the theoretical connection with the AMO model by emphasizing how GHRM and innovation enhance sustainable firm performance. Also, practical implications guide SMEs in integrating GHRM practices, raising a culture of innovation, and acknowledging the pivotal role of employees. The study recognizes limitations, urging future research to consider external factors and address gaps in the literature on GHRM practices in SME sustainable firm performance in the Gulf region.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422520","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":"Debt trap dynamics: The moderating role of convenience, financial literacy, and religiosity in credit card usage","authors":"Saeed Siyal ,&nbsp;Riaz Ahmad ,&nbsp;Shamrez Ali","doi":"10.1016/j.joitmc.2024.100392","DOIUrl":"10.1016/j.joitmc.2024.100392","url":null,"abstract":"<div><div>In the modern age, the card payment business has flourished in Pakistan. Many multinational and national commercial banks have not only introduced debit cards but also many types of credit cards with distinct payment plans, and they are broadly used as financial instruments in consumer financing. The purpose of this research is to identify the distinctive components that cause credit card debt and how Pakistanis are snared into a debt trap by using credit cards. For this purpose, the study examines the effects of credit card usage (CCU), materialism (M), installment plan (IP), convenience (CONV), religiosity (R), and financial literacy (FL) on a dependent variable, debt trap (DT). Furthermore, the moderation impacts of R, FL, and CONV are tested too. The quantitative research approach and cross-sectional research design were applied. The data was collected from 297 credit card users by using a convenience sampling technique that shows a 79.2 % response rate. The Partial Least Square (PLS)-Structural Equation Modeling (SEM) technique was employed for data analysis. The Partial Least Square (PLS)-Structural Equation Modeling (SEM) direct effect has shown that CCU, M, IP, CONV, and R have a significant relationship with DT while FL has an insignificant relationship with the DP. In other words, the indirect effect has shown that FL is not significantly moderate in the relationship between R and DT. Likely, CONV does not significantly moderate the relationship between CCU and DP, however; other indirect effects show a significant moderated relationship of all other independent and dependent variables. Most of the moderating effects are supported, therefore the moderating effects are significant contributions. The study findings could help banks and regulatory bodies in launching these types of credit cards which are under shariah complaints about captivating the users to use the credit card without any fear. This research is a pioneer study in the context of the Pakistan banking sector along with three moderators, religiosity, financial literacy, and convenience. Based on the findings of this research, policymakers and financial institutions in Pakistan should consider introducing Shariah-compliant credit cards that align with users' religious beliefs, while promoting financial literacy programs to better educate consumers on responsible credit card usage and debt management, thus preventing them from falling into debt traps.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422521","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":"Drivers and barriers for open innovation for sustainability in a shared semiconductor infrastructure","authors":"Piia Konstari ,&nbsp;Katri Valkokari","doi":"10.1016/j.joitmc.2024.100395","DOIUrl":"10.1016/j.joitmc.2024.100395","url":null,"abstract":"<div><div>A shared-use semiconductor research infrastructure can be studied as a local innovation ecosystem consisting of the infrastructure operating company and the user companies. The level of open innovation for sustainability activities possible to initiate in the infrastructure is affected by the operating company and the user companies. This study focuses on developing a conceptual framework for analysing the drivers and barriers for open innovation for sustainability in the research infrastructure. The research is done as a qualitative multiple case-study in the local semiconductor ecosystem in Otaniemi, Finland. We find out that the level of understanding and ambitions related to sustainability are diverse in the different user companies. Many factors can be considered both as drivers and barriers for open innovation for sustainability depending on the context and the companies’ ambition levels. The sustainability of a shared-use infrastructure is a complex topic that requires further research to better understand how open innovation for sustainability related activities can be brought forward in such an ecosystem. The study contributes to the current understanding of open innovation for sustainability by recognising the role of shared-used research infrastructure in innovation processes within the local ecosystem.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422631","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":"A multi-criteria measurement and assessment of human capital development in EU-27 countries: A 10-year perspective","authors":"Jarosław Brodny,&nbsp;Magdalena Tutak","doi":"10.1016/j.joitmc.2024.100394","DOIUrl":"10.1016/j.joitmc.2024.100394","url":null,"abstract":"<div><div>In today's global economy and across various types of organizations, human capital is a fundamental resource that determines their existence and development. This is particularly important in the context of ongoing climate-technological transformation processes based on innovative solutions. The role and importance of personal resources are well understood in the EU-27 countries, which base their future on competent human capital. This paper addresses this critical and timely topic by assessing human capital in the EU-27 countries over the period 2013–2022. The research aims to evaluate these countries' human capital potential, distinguishing between the \"new EU-13\" and the \"old EU-14\" countries, and to measure the effectiveness of its development during the study period. A crucial part of the research was to determine the impact of human capital on selected indicators of economic growth, innovation, and sustainable development. To achieve these objectives, an original research methodology was developed, employing the COPRAS method to determine the human capital assessment index and the equal weights and CRITIC methods to establish the weights of indicators characterizing the studied human capital. The impact assessment of this capital, along with innovation and unemployment on economic growth, was conducted using an econometric model. Meanwhile, correlations between the human capital assessment index and the indicators characterizing innovation, economic growth, and sustainability were analyzed using Spearman's non-parametric tests. The results show significant variation in human capital between the EU-27 countries and between the \"old EU-14\" and \"new EU-13\" groups. The Netherlands, Denmark, and Sweden achieved the best results in terms of human capital development, while Greece, Romania, and Bulgaria had the weakest outcomes. In contrast, Cyprus, Malta, and Portugal recorded the greatest progress during the review period. These results offer extensive opportunities for multidimensional inference and can be used to assess the current state of the EU-27 economy. They should also inform the development of strategies for individual countries and the EU-27 as a whole.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422629","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}