Pub Date : 2022-12-20DOI: 10.17323/2500-2597.2022.4.32.44
A. Bereznoy
One of the most recent trends in the global economy is the stigmatization of the global oil and gas industry, i.e., the sharply negative public perception of the industry as a whole, and of its key players in particular. These processes, directly related to the aggravation of the climate-related issues, have already become a source of substantial problems for major industry players. In recent years, public opinion regarding major international oil and gas corporations has changed markedly, at least in most Western countries. Global industry leaders (the so-called supermajors) are increasingly perceived as an existential threat to humanity, laying on them the main responsibility for global warming. Faced with the challenges of the industry-level public ostracism (industry stigma), these companies have been the first to develop a set of responses. This paper attempts to take a fresh look at the supermajors’ climate strategies for responding to the industry stigma. Looking through the prism of the stigma management concept helps one identify the reasons behind the changes in global oil and gas corporations’ relevant strategies in the course of their evolution, and understand the logic behind the different approaches to the green transformation employed by European and US supermajors.
{"title":"The Climate Stigmatization of the Global Oil and Gas Industry: Response Strategies","authors":"A. Bereznoy","doi":"10.17323/2500-2597.2022.4.32.44","DOIUrl":"https://doi.org/10.17323/2500-2597.2022.4.32.44","url":null,"abstract":"One of the most recent trends in the global economy is the stigmatization of the global oil and gas industry, i.e., the sharply negative public perception of the industry as a whole, and of its key players in particular. These processes, directly related to the aggravation of the climate-related issues, have already become a source of substantial problems for major industry players. In recent years, public opinion regarding major international oil and gas corporations has changed markedly, at least in most Western countries. Global industry leaders (the so-called supermajors) are increasingly perceived as an existential threat to humanity, laying on them the main responsibility for global warming. Faced with the challenges of the industry-level public ostracism (industry stigma), these companies have been the first to develop a set of responses. This paper attempts to take a fresh look at the supermajors’ climate strategies for responding to the industry stigma. Looking through the prism of the stigma management concept helps one identify the reasons behind the changes in global oil and gas corporations’ relevant strategies in the course of their evolution, and understand the logic behind the different approaches to the green transformation employed by European and US supermajors.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42416061","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}
Pub Date : 2022-09-20DOI: 10.17323/2500-2597.2022.3.49.66
Eurico Chichorro, L. Pereira, Á. Dias, Renato Lopes da Costa, Rui Gonçalves
Corporate Foresight (СF) gains increasing research interest as an efficient decision-making tool in the face of growing market uncertainty. We carried out a bibliometric analysis of the CF literature published between 2001 and 2021. The results of bibliometric analysis propose in which journals researchers should publish their papers to obtain more citations, which to cite, which keywords to use, and which references to explore. This allows managers, researchers, and practitioners to gain in-depth knowledge of CF literature.
{"title":"Research Landscape and Trends in Corporate Foresight","authors":"Eurico Chichorro, L. Pereira, Á. Dias, Renato Lopes da Costa, Rui Gonçalves","doi":"10.17323/2500-2597.2022.3.49.66","DOIUrl":"https://doi.org/10.17323/2500-2597.2022.3.49.66","url":null,"abstract":"Corporate Foresight (СF) gains increasing research interest as an efficient decision-making tool in the face of growing market uncertainty. We carried out a bibliometric analysis of the CF literature published between 2001 and 2021. The results of bibliometric analysis propose in which journals researchers should publish their papers to obtain more citations, which to cite, which keywords to use, and which references to explore. This allows managers, researchers, and practitioners to gain in-depth knowledge of CF literature.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47986631","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}
Pub Date : 2022-09-20DOI: 10.17323/2500-2597.2022.3.95.105
B. Fernandez-Olit, Gloria González-Sanz, Óscar Sierra-Martín, Elena Ortega-Díaz
Using evidence from Spain, this study assesses the readiness of the banking sector of the EU to introduce technological and social innovations to implement the European policy of financial inclusivity. Despite the evident benefits for banks in terms of enhancing legitimacy and improving consumer knowledge and loyalty, mostly banks at present merely comply with the formal aspects of financial inclusion regulation, but are not going further in terms of technical or social innovation, using compliance to avoid the "stick" of regulation. In contrast, a review of the banks’ own corporate social responsibility strategies shows a higher level of commitment and innovation in terms of financial inclusion. Based on the analysis of institutional factors that determine the involvement of banks in the inclusivity policy, recommendations are proposed for adjusting development strategies in order to combine the efforts of the public and private sectors in the provision of public services.
{"title":"Financial Inclusion as Enabler for Innovation in Banking","authors":"B. Fernandez-Olit, Gloria González-Sanz, Óscar Sierra-Martín, Elena Ortega-Díaz","doi":"10.17323/2500-2597.2022.3.95.105","DOIUrl":"https://doi.org/10.17323/2500-2597.2022.3.95.105","url":null,"abstract":"Using evidence from Spain, this study assesses the readiness of the banking sector of the EU to introduce technological and social innovations to implement the European policy of financial inclusivity. Despite the evident benefits for banks in terms of enhancing legitimacy and improving consumer knowledge and loyalty, mostly banks at present merely comply with the formal aspects of financial inclusion regulation, but are not going further in terms of technical or social innovation, using compliance to avoid the \"stick\" of regulation. In contrast, a review of the banks’ own corporate social responsibility strategies shows a higher level of commitment and innovation in terms of financial inclusion. Based on the analysis of institutional factors that determine the involvement of banks in the inclusivity policy, recommendations are proposed for adjusting development strategies in order to combine the efforts of the public and private sectors in the provision of public services.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47385895","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}
Pub Date : 2022-09-20DOI: 10.17323/2500-2597.2022.3.17.34
G. Ahamer
For the energy economics sector, earlier forecasting approaches (e.g., a Kaya identity or a double-logarithmic function) proved too simplistic. It is becoming necessary to systemically include the emergence of new discrete evolutionary changes. This paper provides a novel quantitative forecasting method which relies on the Global Change Data Base (GCDB). It allows for the generation and testing of hypotheses on future scenarios for energy, economy, and land use on a global and country level. The GCDB method envisages systemic variables, especially quotients (such as energy intensity), shares (such as GDP shares, energy mix), and growth rates including their change rates. Thus, the non-linear features of evolutionary developments become quantitatively visible and can be corroborated by plots of large bundles of time-series data. For the energy industry, the forecasting of sectoral GDP, fuel shares, energy intensities, and their respective dynamic development can be undertaken using the GCDB method.
{"title":"Scenarios of Systemic Transitions in Energy and Economy","authors":"G. Ahamer","doi":"10.17323/2500-2597.2022.3.17.34","DOIUrl":"https://doi.org/10.17323/2500-2597.2022.3.17.34","url":null,"abstract":"For the energy economics sector, earlier forecasting approaches (e.g., a Kaya identity or a double-logarithmic function) proved too simplistic. It is becoming necessary to systemically include the emergence of new discrete evolutionary changes. This paper provides a novel quantitative forecasting method which relies on the Global Change Data Base (GCDB). It allows for the generation and testing of hypotheses on future scenarios for energy, economy, and land use on a global and country level. The GCDB method envisages systemic variables, especially quotients (such as energy intensity), shares (such as GDP shares, energy mix), and growth rates including their change rates. Thus, the non-linear features of evolutionary developments become quantitatively visible and can be corroborated by plots of large bundles of time-series data. For the energy industry, the forecasting of sectoral GDP, fuel shares, energy intensities, and their respective dynamic development can be undertaken using the GCDB method.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41642898","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}
Pub Date : 2022-09-20DOI: 10.17323/2500-2597.2022.3.83.94
J. Okrah, A. Nepp
This study considers the influence of the work experience of Russian top managers on the willingness to stimulate innovative processes in companies, including using at a certain stage some corruption schemes to bypass bureaucratic barriers.Using a logit model based on enterprise surveys carried out by the World Bank, data on managers of small and medium-sized businesses were analyzed.It was revealed that the presence of "corruption competencies" has a positive effect on the innovative activity of enterprises in developing countries. This effect is due to the fact that corruption in such countries acts as a mechanism to reduce transaction costs associated with innovation. The level of corrupt activity of managers increases as they accumulate experience due to the high degree of bureaucratization and the weakness of institutions, which turn into time and financial costs for enterprises. In the short term, corruption can accelerate the development of innovation, but cannot serve as a permanent tool in this regard, since its long-term consequences turn out to be extremely negative.
{"title":"The Contradictory Role of Corruption in Corporate Innovation Strategies","authors":"J. Okrah, A. Nepp","doi":"10.17323/2500-2597.2022.3.83.94","DOIUrl":"https://doi.org/10.17323/2500-2597.2022.3.83.94","url":null,"abstract":"This study considers the influence of the work experience of Russian top managers on the willingness to stimulate innovative processes in companies, including using at a certain stage some corruption schemes to bypass bureaucratic barriers.Using a logit model based on enterprise surveys carried out by the World Bank, data on managers of small and medium-sized businesses were analyzed.It was revealed that the presence of \"corruption competencies\" has a positive effect on the innovative activity of enterprises in developing countries. This effect is due to the fact that corruption in such countries acts as a mechanism to reduce transaction costs associated with innovation. The level of corrupt activity of managers increases as they accumulate experience due to the high degree of bureaucratization and the weakness of institutions, which turn into time and financial costs for enterprises. In the short term, corruption can accelerate the development of innovation, but cannot serve as a permanent tool in this regard, since its long-term consequences turn out to be extremely negative.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67929860","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}
Pub Date : 2022-09-20DOI: 10.17323/2500-2597.2022.3.6.16
Jong-Seok Kim, Jinwon Kang
This is a foresight study to explore the top priorities of innovation types and the reasons behind them with respect to artificial intelligence (AI), big data, and the Internet of Things (IoT). This study set up two research strategies. One of the research strategies is to make the research design and methods fit with this study’s intellectual queries. Another strategy is to use the triangulations of method, analysis, data source, and researcher. This study selected expert panels, the Delphi technique, and interviews. In the collection of the qualitative and quantitative data from 23 experts through the Delphi surveys, it organized respectively the qualitative and quantitative data analysis. This study conducted the two main data analyses–Delphi results and interview data. Service innovation of AI and process innovation of IoT are chosen as a top-priority-innovation type. Marketing innovation of big data, as non-technological innovation, is selected as a top-priority innovation type. Through the interviews with 17 experts, for each of the pairs, all the experts said that the three technologies can have greater technological capabilities going beyond the existing capacities of relevant technologies. AI as hyper-intelligence can help to provide more customized or sophisticated converging offerings, the regulation of various non-standardized services and service provisions through the interaction between AI and customers or employees. The technological capacity of big data and the need of customer preferences can lead marketing innovation. IoT can create the new or improved process of the manufacturing, production, and supply chain areas through hyper-connectivity in terms of quality, quantity, speed, and coverage of information.
{"title":"Exploring the Top-Priority Innovation Types and Their Reasons","authors":"Jong-Seok Kim, Jinwon Kang","doi":"10.17323/2500-2597.2022.3.6.16","DOIUrl":"https://doi.org/10.17323/2500-2597.2022.3.6.16","url":null,"abstract":"This is a foresight study to explore the top priorities of innovation types and the reasons behind them with respect to artificial intelligence (AI), big data, and the Internet of Things (IoT). This study set up two research strategies. One of the research strategies is to make the research design and methods fit with this study’s intellectual queries. Another strategy is to use the triangulations of method, analysis, data source, and researcher. This study selected expert panels, the Delphi technique, and interviews. In the collection of the qualitative and quantitative data from 23 experts through the Delphi surveys, it organized respectively the qualitative and quantitative data analysis. This study conducted the two main data analyses–Delphi results and interview data. Service innovation of AI and process innovation of IoT are chosen as a top-priority-innovation type. Marketing innovation of big data, as non-technological innovation, is selected as a top-priority innovation type. Through the interviews with 17 experts, for each of the pairs, all the experts said that the three technologies can have greater technological capabilities going beyond the existing capacities of relevant technologies. AI as hyper-intelligence can help to provide more customized or sophisticated converging offerings, the regulation of various non-standardized services and service provisions through the interaction between AI and customers or employees. The technological capacity of big data and the need of customer preferences can lead marketing innovation. IoT can create the new or improved process of the manufacturing, production, and supply chain areas through hyper-connectivity in terms of quality, quantity, speed, and coverage of information.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44618725","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}
Pub Date : 2022-09-20DOI: 10.17323/2500-2597.2022.3.68.82
Y. Domnich
This article draws attention to insufficient research interest in the empirical assessments of the impact of product and process innovations (PPI) on economic performance. The analysis of the relevant studies for 2000–2022 found significant international and intersectoral differentiation of the considered linkages between innovation and productivity. It revealed limitations for the meaningful interpretation of the array of results accumulated in the literature. The author emphasizes the importance of an integrated multi-perspective approach to assessing the possible impact of PPI on various aspects of enterprise and industry performance when planning public innovation policy. For example, minor product innovations can make a tangible positive contribution to a company's sales growth, but have no impact on labor productivity at all. The impact of a radical resource-saving process innovation will look doubtful if it is evaluated only on a short time interval. The author concludes that it is expedient to revise established views on industrial technological innovations and develop new approaches to their measurement.
{"title":"The Impact of Product and Process Innovations on Productivity: A Review of Empirical Studies","authors":"Y. Domnich","doi":"10.17323/2500-2597.2022.3.68.82","DOIUrl":"https://doi.org/10.17323/2500-2597.2022.3.68.82","url":null,"abstract":"This article draws attention to insufficient research interest in the empirical assessments of the impact of product and process innovations (PPI) on economic performance. The analysis of the relevant studies for 2000–2022 found significant international and intersectoral differentiation of the considered linkages between innovation and productivity. It revealed limitations for the meaningful interpretation of the array of results accumulated in the literature. The author emphasizes the importance of an integrated multi-perspective approach to assessing the possible impact of PPI on various aspects of enterprise and industry performance when planning public innovation policy. For example, minor product innovations can make a tangible positive contribution to a company's sales growth, but have no impact on labor productivity at all. The impact of a radical resource-saving process innovation will look doubtful if it is evaluated only on a short time interval. The author concludes that it is expedient to revise established views on industrial technological innovations and develop new approaches to their measurement.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44498496","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}
Pub Date : 2022-09-20DOI: 10.17323/2500-2597.2022.3.35.48
E. Balatsky, M. Yurevich
he article verifies one of the principles of the general theory of social development, which is called the principle of consistency. According to this principle, the economic growth rate positively depends not only upon the level of technological development, institutions, and culture, but also upon the degree of consistency between these factors. This hypothesis was tested by constructing econometric models on a sample of 154 countries. The output variable is the rate of GDP growth, and the explanatory factors are technology, institutions, and culture. To quantify the latter, the corresponding proxy variables were used: labor productivity, the Doing Business index, and the Corruption Perceptions Index. The constructed models are fixed-effect models, and the coefficients of the explanatory variables are determined by adjusting the variance-covariance matrices. Empirical evidence has confirmed the validity of the principle of consistency for the group of “rich” countries with upper middle income, and have not been confirmed for the group of “poor” countries with lower middle income. The obtained result was interpreted in terms of the concept of a narrow corridor called Acemoglu–Robinson, the concept of structural competition and the theory of self-organization. It is shown that the consistency principle acts as a necessary condition for the appearance of the Red Queen effect in the Acemoglu–Robinson concept.
{"title":"Consistency Principle: Theory and Empirical Evidence","authors":"E. Balatsky, M. Yurevich","doi":"10.17323/2500-2597.2022.3.35.48","DOIUrl":"https://doi.org/10.17323/2500-2597.2022.3.35.48","url":null,"abstract":"he article verifies one of the principles of the general theory of social development, which is called the principle of consistency. According to this principle, the economic growth rate positively depends not only upon the level of technological development, institutions, and culture, but also upon the degree of consistency between these factors. This hypothesis was tested by constructing econometric models on a sample of 154 countries. The output variable is the rate of GDP growth, and the explanatory factors are technology, institutions, and culture. To quantify the latter, the corresponding proxy variables were used: labor productivity, the Doing Business index, and the Corruption Perceptions Index. The constructed models are fixed-effect models, and the coefficients of the explanatory variables are determined by adjusting the variance-covariance matrices. Empirical evidence has confirmed the validity of the principle of consistency for the group of “rich” countries with upper middle income, and have not been confirmed for the group of “poor” countries with lower middle income. The obtained result was interpreted in terms of the concept of a narrow corridor called Acemoglu–Robinson, the concept of structural competition and the theory of self-organization. It is shown that the consistency principle acts as a necessary condition for the appearance of the Red Queen effect in the Acemoglu–Robinson concept.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41528295","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}
Pub Date : 2022-06-20DOI: 10.17323/2500-2597.2022.2.15.30
D. Katalevsky, Natalia Kosmodemianskaya, Arutyun Arutynyan, C. Fortin
Modern Universities play increasingly important role in contemporary society, advancing frontiers of science and transforming regional economies. As funding models of modern universities change, they adopt some features of a business organization. While their ability to attract funding becomes vitally important for universities, especially from private sources (industry), a balance between fundamental and applied research becomes vital. The current research investigates 5-years of activities of the Skolkovo Institute of Science and Technology (Skoltech) and particularly its research portfolio. It is based on the theory and practice of the Research Domain Portfolio Matrix (RDPM) approach considering a University to be a portfolio of R&D technologies in diverse scientific areas and at various stages of technology maturity. It is of utmost importance for Universities to find a balance between basic and applied research while making decisions on launching new projects/programs or modifying the existing projects/programs. The proposed RDPM approach helps to leverage limited resources, establish priorities, monitor risks, and influence outcomes in the short and long-term horizons.
{"title":"University 3.0: A Portfolio Approach to Technology R&D Management","authors":"D. Katalevsky, Natalia Kosmodemianskaya, Arutyun Arutynyan, C. Fortin","doi":"10.17323/2500-2597.2022.2.15.30","DOIUrl":"https://doi.org/10.17323/2500-2597.2022.2.15.30","url":null,"abstract":"Modern Universities play increasingly important role in contemporary society, advancing frontiers of science and transforming regional economies. As funding models of modern universities change, they adopt some features of a business organization. While their ability to attract funding becomes vitally important for universities, especially from private sources (industry), a balance between fundamental and applied research becomes vital. The current research investigates 5-years of activities of the Skolkovo Institute of Science and Technology (Skoltech) and particularly its research portfolio. It is based on the theory and practice of the Research Domain Portfolio Matrix (RDPM) approach considering a University to be a portfolio of R&D technologies in diverse scientific areas and at various stages of technology maturity. It is of utmost importance for Universities to find a balance between basic and applied research while making decisions on launching new projects/programs or modifying the existing projects/programs. The proposed RDPM approach helps to leverage limited resources, establish priorities, monitor risks, and influence outcomes in the short and long-term horizons.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47427403","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}
Pub Date : 2022-06-20DOI: 10.17323/2500-2597.2022.2.52.64
J. Ejdys
With the growing interest in e-education, particularly in the context of the pandemic, more scientific studies have been undertaken recently to analyze and identify factors influencing e-learning acceptance. Indeed, e-learning acceptance depends on many different factors, but no consensus has been reached on factors that contribute most to the acceptance of e-learning solutions. Consequently, this article ascertains the factors and their relationships behind the satisfaction and the future intention to use e-learning among Polish university students. From among the factors analyzed in the literature, the author examined the relationship between computer self-efficacy (CSE), facilitating conditions (FC), satisfaction (S) and the future intention to use e-learning (FI). Data were gathered using structured questionnaires and computer-assisted web interviewing (CAWI). Students at Bialystok University of Technology (Poland) were sent an electronic link to the questionnaires using the internal e-mail system. Eight hundred three forms were returned fully filled out. Aiming to ascertain the extent to which measured variables describe the number of constructs, the author made the Confirmatory Factor Analysis (CFA). The Generalized Least Squares (GLS) estimator was used to calculate the values of model parameters.The results confirmed that higher computer self-efficacy and better facilitation conditions result in greater user satisfaction with e-learning. However, facilitating conditions impact user satisfaction more than computer self-efficacy construct variables. Based on the findings, user satisfaction is a strong anticedents of the future intention to use e-learning.
{"title":"Factors Influencing Satisfaction and Future Intention to Use E-Learning at the University Level","authors":"J. Ejdys","doi":"10.17323/2500-2597.2022.2.52.64","DOIUrl":"https://doi.org/10.17323/2500-2597.2022.2.52.64","url":null,"abstract":"With the growing interest in e-education, particularly in the context of the pandemic, more scientific studies have been undertaken recently to analyze and identify factors influencing e-learning acceptance. Indeed, e-learning acceptance depends on many different factors, but no consensus has been reached on factors that contribute most to the acceptance of e-learning solutions. Consequently, this article ascertains the factors and their relationships behind the satisfaction and the future intention to use e-learning among Polish university students. From among the factors analyzed in the literature, the author examined the relationship between computer self-efficacy (CSE), facilitating conditions (FC), satisfaction (S) and the future intention to use e-learning (FI). Data were gathered using structured questionnaires and computer-assisted web interviewing (CAWI). Students at Bialystok University of Technology (Poland) were sent an electronic link to the questionnaires using the internal e-mail system. Eight hundred three forms were returned fully filled out. Aiming to ascertain the extent to which measured variables describe the number of constructs, the author made the Confirmatory Factor Analysis (CFA). The Generalized Least Squares (GLS) estimator was used to calculate the values of model parameters.The results confirmed that higher computer self-efficacy and better facilitation conditions result in greater user satisfaction with e-learning. However, facilitating conditions impact user satisfaction more than computer self-efficacy construct variables. Based on the findings, user satisfaction is a strong anticedents of the future intention to use e-learning.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42196062","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}
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