Pub Date : 2024-11-08DOI: 10.1016/j.stae.2024.100088
David Juárez-Varón, Elsa Guaita Monreal
This research highlights the relationship between the market orientation of entrepreneurs and continuous organizational learning, as well as the influence of the use of social media and crowdsourcing as ideal tools for the implementation of the market orientation strategy for entrepreneurs. The empirical study was carried out in four and five-star hotels. The conclusions also recommend the widespread use of crowdsourcing as an indispensable tool for solving entrepreneurs' problems, capturing new ideas from Internet users and obtaining opinions on products and services, thus collaborating in continuous innovation in entrepreneurs. These tools represent a very important source of information for the market orientation strategy for entrepreneurs, which in turn encourages continuous organizational learning, ensuring that sustainable competitive advantages are gained over time.
{"title":"Market-oriented entrepreneurship and the impact of social media and crowdsourcing on continuous organizational learning. An empirical study","authors":"David Juárez-Varón, Elsa Guaita Monreal","doi":"10.1016/j.stae.2024.100088","DOIUrl":"10.1016/j.stae.2024.100088","url":null,"abstract":"<div><div>This research highlights the relationship between the market orientation of entrepreneurs and continuous organizational learning, as well as the influence of the use of social media and crowdsourcing as ideal tools for the implementation of the market orientation strategy for entrepreneurs. The empirical study was carried out in four and five-star hotels. The conclusions also recommend the widespread use of crowdsourcing as an indispensable tool for solving entrepreneurs' problems, capturing new ideas from Internet users and obtaining opinions on products and services, thus collaborating in continuous innovation in entrepreneurs. These tools represent a very important source of information for the market orientation strategy for entrepreneurs, which in turn encourages continuous organizational learning, ensuring that sustainable competitive advantages are gained over time.</div></div>","PeriodicalId":101202,"journal":{"name":"Sustainable Technology and Entrepreneurship","volume":"4 1","pages":"Article 100088"},"PeriodicalIF":0.0,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657934","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}
Pub Date : 2024-10-20DOI: 10.1016/j.stae.2024.100087
Raúl Gómez-Martínez, Mara Luisa Medrano-Garcia
The objective of this study is to analyse the correlation between Bitcoin and altcoins in the post-covid world and take advantage of this possible relationship to design investment strategies on Bitcoin based on the evolution of altcoins using Artificial Intelligence (AI) models.
The sample of daily observations covers from January 2020 to February 2023, and the regressions performed between altcoins and Bitcoin are positive and 99 % significant, except for Dogecoin, which has a correlation with Bitcoin.
If we add a lag, the estimated parameters are still 95 % significant, except for Dogecoin, so we can assume that the return of altcoins anticipates the evolution of Bitcoin.
We train an artificial intelligence model in which the predictors are the observed daily return in altcoins and the target to predict is next day trend of Bitcoin (up or down). We use decision tree algorithms (J48), random forest and naive bayes, but in a retrospective cross-sectional validation with 10 sample partitions we obtain a poor predictive capacity of only a 51 % success rate in the best of cases.
Therefore, despite the evident correlation between predictors and the objective variable, we should not implement this investment strategy.
{"title":"AI technology for developing Bitcoin investment strategies based on altcoin trends","authors":"Raúl Gómez-Martínez, Mara Luisa Medrano-Garcia","doi":"10.1016/j.stae.2024.100087","DOIUrl":"10.1016/j.stae.2024.100087","url":null,"abstract":"<div><div>The objective of this study is to analyse the correlation between Bitcoin and altcoins in the post-covid world and take advantage of this possible relationship to design investment strategies on Bitcoin based on the evolution of altcoins using Artificial Intelligence (AI) models.</div><div>The sample of daily observations covers from January 2020 to February 2023, and the regressions performed between altcoins and Bitcoin are positive and 99 % significant, except for Dogecoin, which has a correlation with Bitcoin.</div><div>If we add a lag, the estimated parameters are still 95 % significant, except for Dogecoin, so we can assume that the return of altcoins anticipates the evolution of Bitcoin.</div><div>We train an artificial intelligence model in which the predictors are the observed daily return in altcoins and the target to predict is next day trend of Bitcoin (up or down). We use decision tree algorithms (J48), random forest and naive bayes, but in a retrospective cross-sectional validation with 10 sample partitions we obtain a poor predictive capacity of only a 51 % success rate in the best of cases.</div><div>Therefore, despite the evident correlation between predictors and the objective variable, we should not implement this investment strategy.</div></div>","PeriodicalId":101202,"journal":{"name":"Sustainable Technology and Entrepreneurship","volume":"4 1","pages":"Article 100087"},"PeriodicalIF":0.0,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551537","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}
Pub Date : 2024-10-02DOI: 10.1016/j.stae.2024.100084
Oussama Zaghdoud
Enhancing energy efficiency through sustainable technological progress is imperative for pursuing sustainable development, particularly in developing countries where economic growth is strongly linked to higher energy consumption. In Tunisia, an open and developing economy, fossil energy consumption can be reduced without compromising economic growth by focusing on diminishing energy intensity. This study investigates the effects of technological progress on the overall energy intensity in Tunisia from 1980 to 2019, examining the role that technological advancements may play in attaining sustainable development goals. This study is based on a growth accounting model that uses time-series analysis and a cointegration estimation approach. Our empirical results suggest the presence of a long-term connection between the variables. The attainment of enhanced energy efficiency is contingent on the growth rate of technological progress, which should exceed capital and labor productivity. The results reveal that the net impact of technological advancements is estimated at -0.0163, which signifies that aggregate energy intensity tends to decrease by an annual average of 1.63% in the long term. These findings underscore the need for developing economies to restructure their energy policies and support sustainable technological initiatives and green entrepreneurship. Developing countries can reduce their energy intensity while boosting their economic growth by fostering technological innovation. This study demonstrates how technological progress and green entrepreneurship can be leveraged to enhance energy efficiency and drive sustainable development in developing nations.
{"title":"Technological Progress as a Catalyst for Energy Efficiency: A Sustainable Technology Perspective","authors":"Oussama Zaghdoud","doi":"10.1016/j.stae.2024.100084","DOIUrl":"10.1016/j.stae.2024.100084","url":null,"abstract":"<div><div>Enhancing energy efficiency through sustainable technological progress is imperative for pursuing sustainable development, particularly in developing countries where economic growth is strongly linked to higher energy consumption. In Tunisia, an open and developing economy, fossil energy consumption can be reduced without compromising economic growth by focusing on diminishing energy intensity. This study investigates the effects of technological progress on the overall energy intensity in Tunisia from 1980 to 2019, examining the role that technological advancements may play in attaining sustainable development goals. This study is based on a growth accounting model that uses time-series analysis and a cointegration estimation approach. Our empirical results suggest the presence of a long-term connection between the variables. The attainment of enhanced energy efficiency is contingent on the growth rate of technological progress, which should exceed capital and labor productivity. The results reveal that the net impact of technological advancements is estimated at -0.0163, which signifies that aggregate energy intensity tends to decrease by an annual average of 1.63% in the long term. These findings underscore the need for developing economies to restructure their energy policies and support sustainable technological initiatives and green entrepreneurship. Developing countries can reduce their energy intensity while boosting their economic growth by fostering technological innovation. This study demonstrates how technological progress and green entrepreneurship can be leveraged to enhance energy efficiency and drive sustainable development in developing nations.</div></div>","PeriodicalId":101202,"journal":{"name":"Sustainable Technology and Entrepreneurship","volume":"4 1","pages":"Article 100084"},"PeriodicalIF":0.0,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422451","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}
Pub Date : 2024-10-02DOI: 10.1016/j.stae.2024.100085
Kuang-Hsien Wang , Wen-Cheng Lu
This study utilizes 3,682 full-time workers to examine perceptions of AI-induced job displacement risk and evaluate AI's potential complementary effects on labor. By distinguishing between these variables, the research identifies which worker characteristics and industries are most affected by AI. Employing an extended ordered probit model, the results show that those with higher perceived risks are mainly female, older, and more educated. Workers with frequent internet usage and remote work are more concerned about AI-induced job risks. Sector-wise, entry-level employees perceive the least risk, whereas manufacturing professionals and senior service sector employees are more apprehensive. Contrary to the mainstream assumption that AI causes unemployment, this study identifies a potential complementary effect on job tasks, suggesting that AI can enhance and support human labor rather than replace it. This inference is based on observed worker perceptions and the increased use of AI tools in tasks that complement human skills. Moreover, AI's integration contributes to sustainable practices and entrepreneurial opportunities, enhancing business innovation and environmental efficiency. Workers increasingly view AI as a value-added element in their jobs rather than a threat, particularly in sectors focusing on sustainable development and green technologies.
{"title":"AI-induced job impact: Complementary or substitution? Empirical insights and sustainable technology considerations","authors":"Kuang-Hsien Wang , Wen-Cheng Lu","doi":"10.1016/j.stae.2024.100085","DOIUrl":"10.1016/j.stae.2024.100085","url":null,"abstract":"<div><div>This study utilizes 3,682 full-time workers to examine perceptions of AI-induced job displacement risk and evaluate AI's potential complementary effects on labor. By distinguishing between these variables, the research identifies which worker characteristics and industries are most affected by AI. Employing an extended ordered probit model, the results show that those with higher perceived risks are mainly female, older, and more educated. Workers with frequent internet usage and remote work are more concerned about AI-induced job risks. Sector-wise, entry-level employees perceive the least risk, whereas manufacturing professionals and senior service sector employees are more apprehensive. Contrary to the mainstream assumption that AI causes unemployment, this study identifies a potential complementary effect on job tasks, suggesting that AI can enhance and support human labor rather than replace it. This inference is based on observed worker perceptions and the increased use of AI tools in tasks that complement human skills. Moreover, AI's integration contributes to sustainable practices and entrepreneurial opportunities, enhancing business innovation and environmental efficiency. Workers increasingly view AI as a value-added element in their jobs rather than a threat, particularly in sectors focusing on sustainable development and green technologies.</div></div>","PeriodicalId":101202,"journal":{"name":"Sustainable Technology and Entrepreneurship","volume":"4 1","pages":"Article 100085"},"PeriodicalIF":0.0,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422453","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}
Pub Date : 2024-09-26DOI: 10.1016/j.stae.2024.100083
Dr. Mir Shahid Satar , Ghadah Alarifi , Mohammad Shoaib Alhawsawi
Digitalization is emerging as a broader socio-technical transformation affecting businesses of all types. The paradigm shifts in digital technology have mandated new mindsets and approaches to managerial, leadership, and entrepreneurial competitiveness in organizations. Human capital with the ability to convey digital knowledge and strategies is regarded as a crucial resource for digital transformations (DT) in organizations. In fact, the development of relevant technological and digital competencies (DCs) is regarded as the biggest obstacle to DT in non-profit organizations (NPOs) as well. However, the growth of literature in this direction has been fragmented by the lack of any formal integration of DCs. The current study is formulated with the primary goal of exploring the digital competency requirements of NPOs. A systematic literature review protocol adhering to PRISMA guidelines was undertaken to synthesize the initial draft of DCs. Subsequently, a modified two-round Delphi survey with a panel of 25 experts was used to rate the competencies quantitatively. The analysis followed the prescribed Delphi principles to determine the results' validity and reliability. As a result, a comprehensive set of eighteen competencies was generated and categorized into three areas (‘digital leadership’, ‘personnel and organizational’, and ‘technical’ competencies). While filling an important void in the literature, the study's findings lay the groundwork for a digital transformation education, learning, and development agenda in non-profits.
{"title":"Digitalization and non-profits: Competency requirements in non-profit sector of Saudi Arabia","authors":"Dr. Mir Shahid Satar , Ghadah Alarifi , Mohammad Shoaib Alhawsawi","doi":"10.1016/j.stae.2024.100083","DOIUrl":"10.1016/j.stae.2024.100083","url":null,"abstract":"<div><div>Digitalization is emerging as a broader socio-technical transformation affecting businesses of all types. The paradigm shifts in digital technology have mandated new mindsets and approaches to managerial, leadership, and entrepreneurial competitiveness in organizations. Human capital with the ability to convey digital knowledge and strategies is regarded as a crucial resource for digital transformations (DT) in organizations. In fact, the development of relevant technological and digital competencies (DCs) is regarded as the biggest obstacle to DT in non-profit organizations (NPOs) as well. However, the growth of literature in this direction has been fragmented by the lack of any formal integration of DCs. The current study is formulated with the primary goal of exploring the digital competency requirements of NPOs. A systematic literature review protocol adhering to PRISMA guidelines was undertaken to synthesize the initial draft of DCs. Subsequently, a modified two-round Delphi survey with a panel of 25 experts was used to rate the competencies quantitatively. The analysis followed the prescribed Delphi principles to determine the results' validity and reliability. As a result, a comprehensive set of eighteen competencies was generated and categorized into three areas (‘digital leadership’, ‘personnel and organizational’, and ‘technical’ competencies). While filling an important void in the literature, the study's findings lay the groundwork for a digital transformation education, learning, and development agenda in non-profits.</div></div>","PeriodicalId":101202,"journal":{"name":"Sustainable Technology and Entrepreneurship","volume":"4 1","pages":"Article 100083"},"PeriodicalIF":0.0,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441504","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}
Pub Date : 2024-09-01DOI: 10.1016/j.stae.2024.100082
Alicia Ferradás-González , Cristina Pérez-Rico , Alba Adá-Lameiras
Waste management is now a major global concern. Therefore, the circular economy (CE) and sustainable technology have become the necessary means of achieving sustainable business development. In this study, we conduct an analysis of the waste recovery sector in Spain to determine whether the most innovative and socially aware companies complied with sustainable development goal (SDG) 5 (gender equality) and SDG 8 (decent work and growth) during the period 2019–2021 (pre-Coronavirus Disease 2019, (pre-COVID-19), during COVID-19, and post-COVID-19). To this end, based on factors comprising economic and financial variables, the companies were grouped via a cluster analysis using the k-means method; they were linked to the SDGs (5 and 8) in order to determine the compliance of this sector. The results indicate that the technological transformations carried out by the waste valorization companies were reflected in their financial performance, with an increase in revenues of 61 % between 2019 and 2021; all clusters complied with SDG 8. However, despite promoting business transformation, social change, sustainable technology, and CE, these companies are far from compliant with SDG 5; indeed, a setback in social development was observed, with a significant decline in the number of women in positions of power after COVID-19. This therefore constitutes one of the greatest challenges for companies in this sector.
{"title":"Transforming sorted and performance of waste recovery companies: Circular Economy, Sustainability Technology and SDGs","authors":"Alicia Ferradás-González , Cristina Pérez-Rico , Alba Adá-Lameiras","doi":"10.1016/j.stae.2024.100082","DOIUrl":"10.1016/j.stae.2024.100082","url":null,"abstract":"<div><p>Waste management is now a major global concern. Therefore, the circular economy (CE) and sustainable technology have become the necessary means of achieving sustainable business development. In this study, we conduct an analysis of the waste recovery sector in Spain to determine whether the most innovative and socially aware companies complied with sustainable development goal (SDG) 5 (gender equality) and SDG 8 (decent work and growth) during the period 2019–2021 (pre-Coronavirus Disease 2019, (pre-COVID-19), during COVID-19, and post-COVID-19). To this end, based on factors comprising economic and financial variables, the companies were grouped via a cluster analysis using the k-means method; they were linked to the SDGs (5 and 8) in order to determine the compliance of this sector. The results indicate that the technological transformations carried out by the waste valorization companies were reflected in their financial performance, with an increase in revenues of 61 % between 2019 and 2021; all clusters complied with SDG 8. However, despite promoting business transformation, social change, sustainable technology, and CE, these companies are far from compliant with SDG 5; indeed, a setback in social development was observed, with a significant decline in the number of women in positions of power after COVID-19. This therefore constitutes one of the greatest challenges for companies in this sector.</p></div>","PeriodicalId":101202,"journal":{"name":"Sustainable Technology and Entrepreneurship","volume":"3 3","pages":"Article 100082"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773032824000129/pdfft?md5=d0a5a5bd75901987c91cecebcf0dc3ac&pid=1-s2.0-S2773032824000129-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142230654","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}
Pub Date : 2024-07-26DOI: 10.1016/j.stae.2024.100080
Varsha Arya , Akshat Gaurav , Brij B. Gupta , Kwok Tai Chui
This paper provides a bibliometric overview of the interaction between environmental education and the growth of sustainable entrepreneurship. Using VOSViewer and the R programming language, we found 849 reference studies for investigation while browsing English-language articles from esteemed publications and conferences recorded in the Scopus databases. Our analysis revealed an exponential increase in scholarly publications on the topic, therefore highlighting its development as a current focus of study. Our bibliometric study reveals a major knowledge gaps despite this increase: knowledge of the successful integration strategies of environmental education into sustainable entrepreneurship practices and policies at different levels (local, national, and global). Moreover, thorough research on how these interactions affect environmental awareness across several populations and the accomplishment of sustainable development goals (SDGs) is lacking. Therefore, our study aims to close this important void by offering a thorough review of the present situation of research, pointing out the best journals, countries, and authors leading in this field, and suggesting future directions to improve the synergy between environmental education and sustainable development. Policies, courses, and projects aiming at a more sustainable future depend on this input in setting their direction.
本文通过文献计量学概述了环境教育与可持续创业发展之间的互动关系。我们使用 VOSViewer 和 R 编程语言，浏览了 Scopus 数据库中记录的著名出版物和会议的英文文章，找到了 849 项参考研究。我们的分析表明，有关该主题的学术出版物呈指数级增长，因此凸显了其作为当前研究重点的发展态势。我们的文献计量学研究揭示了一个重大的知识缺口，尽管这一增长：在不同层面（地方、国家和全球），环境教育与可持续创业实践和政策的成功整合战略的知识。此外，对于这些互动如何影响不同人群的环境意识以及可持续发展目标（SDGs）的实现，也缺乏深入研究。因此，我们的研究旨在填补这一重要空白，对研究现状进行全面回顾，指出该领域的最佳期刊、国家和领先作者，并提出改善环境教育与可持续发展之间协同作用的未来方向。旨在实现更可持续未来的政策、课程和项目在确定方向时都有赖于这方面的投入。
{"title":"A bibliometric analysis of environmental education and sustainable entrepreneurship development in a global perspective","authors":"Varsha Arya , Akshat Gaurav , Brij B. Gupta , Kwok Tai Chui","doi":"10.1016/j.stae.2024.100080","DOIUrl":"10.1016/j.stae.2024.100080","url":null,"abstract":"<div><p>This paper provides a bibliometric overview of the interaction between environmental education and the growth of sustainable entrepreneurship. Using VOSViewer and the R programming language, we found 849 reference studies for investigation while browsing English-language articles from esteemed publications and conferences recorded in the Scopus databases. Our analysis revealed an exponential increase in scholarly publications on the topic, therefore highlighting its development as a current focus of study. Our bibliometric study reveals a major knowledge gaps despite this increase: knowledge of the successful integration strategies of environmental education into sustainable entrepreneurship practices and policies at different levels (local, national, and global). Moreover, thorough research on how these interactions affect environmental awareness across several populations and the accomplishment of sustainable development goals (SDGs) is lacking. Therefore, our study aims to close this important void by offering a thorough review of the present situation of research, pointing out the best journals, countries, and authors leading in this field, and suggesting future directions to improve the synergy between environmental education and sustainable development. Policies, courses, and projects aiming at a more sustainable future depend on this input in setting their direction.</p></div>","PeriodicalId":101202,"journal":{"name":"Sustainable Technology and Entrepreneurship","volume":"3 3","pages":"Article 100080"},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773032824000105/pdfft?md5=ba3539360ffddeb25cff6dd1186d718e&pid=1-s2.0-S2773032824000105-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141852526","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}
Pub Date : 2024-07-26DOI: 10.1016/j.stae.2024.100079
Mwanahimisi A Salehe , Jennifer K. Sesabo , Nsubili Isaga , Eliaza Mkuna
The entrepreneurship landscape has undergone a significant transformation towards sustainability in both large and small business firms. This study investigated the effect of individual entrepreneurship orientation on sustainable entrepreneurship practices and firm performance of fisheries small and medium enterprises. The study used a structured questionnaire to gather data from a sample of 389 entrepreneurs working in the Tanzanian Nile perch fishery in Lake Victoria. Descriptive statistics and the partial least squares structural equation modeling technique were used to analyse the quantitative data. The study's findings indicated that the risk-taking, innovativeness, and proactiveness substantially impact sustainable entrepreneurship practices in fisheries small and medium enterprises but does not have a direct relationship with the firm's performance except for the innovativeness. Additionally, it was discovered that sustainable entrepreneurship practices have a complete mediation role in risk-taking and proactiveness, while they have a partial mediation role in innovativeness. Therefore, the study recommends advocacy for policies and incentives to foster the implementation of sustainable entrepreneurship enterprises among small and medium enterprises in the fisheries industry for sustainable businesses and the natural environment.
{"title":"Individual entrepreneurial orientation and firm performance: The mediating role of sustainable entrepreneurship practices","authors":"Mwanahimisi A Salehe , Jennifer K. Sesabo , Nsubili Isaga , Eliaza Mkuna","doi":"10.1016/j.stae.2024.100079","DOIUrl":"10.1016/j.stae.2024.100079","url":null,"abstract":"<div><p>The entrepreneurship landscape has undergone a significant transformation towards sustainability in both large and small business firms. This study investigated the effect of individual entrepreneurship orientation on sustainable entrepreneurship practices and firm performance of fisheries small and medium enterprises. The study used a structured questionnaire to gather data from a sample of 389 entrepreneurs working in the Tanzanian Nile perch fishery in Lake Victoria. Descriptive statistics and the partial least squares structural equation modeling technique were used to analyse the quantitative data. The study's findings indicated that the risk-taking, innovativeness, and proactiveness substantially impact sustainable entrepreneurship practices in fisheries small and medium enterprises but does not have a direct relationship with the firm's performance except for the innovativeness. Additionally, it was discovered that sustainable entrepreneurship practices have a complete mediation role in risk-taking and proactiveness, while they have a partial mediation role in innovativeness. Therefore, the study recommends advocacy for policies and incentives to foster the implementation of sustainable entrepreneurship enterprises among small and medium enterprises in the fisheries industry for sustainable businesses and the natural environment.</p></div>","PeriodicalId":101202,"journal":{"name":"Sustainable Technology and Entrepreneurship","volume":"3 3","pages":"Article 100079"},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773032824000099/pdfft?md5=659bafce2a49bd404869f74f8a10b4ee&pid=1-s2.0-S2773032824000099-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141847311","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}
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