Pub Date : 2023-06-22DOI: 10.1108/jstpm-09-2021-0131
A. Sadabadi, Zohreh Rahimi Rad, A. Mirzamani
Purpose This study first aims to survey the state of user innovation in Iran and then identified barriers and incentives for user innovation in Iran. Design/methodology/approach In this study, a questionnaire (through 1,360 adults from Iran) prepared by De Jong (2016) was used to survey user innovation. Findings The results showed: the percentage of user innovators is high in Iran, there is no linear relationship between the income of a country and the percentage of the user innovators, there is a positive relationship between the education level and the percentage of user innovators in Iran, there is no linear relationship between the number of people educated in the scientific and technical fields and the percentage of user innovators. Finally, based on surveying users opinion in questionnaire, four incentives and five barriers in user innovation were identified that can help policymakers to improve their innovation policies. Originality/value Literature review in this field showed it was found that in a number of developed countries, the issue of user innovation has been addressed, but in Iran as a developing country, no such research has been conducted so far. In addition, it was found that so far, no comprehensive research has identified barriers and incentives for user innovation, so this study, first surveyed the state of user innovation in Iran and then identified barriers and incentives for user innovation in Iran.
{"title":"User innovation in Iran: incentives and barriers","authors":"A. Sadabadi, Zohreh Rahimi Rad, A. Mirzamani","doi":"10.1108/jstpm-09-2021-0131","DOIUrl":"https://doi.org/10.1108/jstpm-09-2021-0131","url":null,"abstract":"\u0000Purpose\u0000This study first aims to survey the state of user innovation in Iran and then identified barriers and incentives for user innovation in Iran.\u0000\u0000\u0000Design/methodology/approach\u0000In this study, a questionnaire (through 1,360 adults from Iran) prepared by De Jong (2016) was used to survey user innovation.\u0000\u0000\u0000Findings\u0000The results showed: the percentage of user innovators is high in Iran, there is no linear relationship between the income of a country and the percentage of the user innovators, there is a positive relationship between the education level and the percentage of user innovators in Iran, there is no linear relationship between the number of people educated in the scientific and technical fields and the percentage of user innovators. Finally, based on surveying users opinion in questionnaire, four incentives and five barriers in user innovation were identified that can help policymakers to improve their innovation policies.\u0000\u0000\u0000Originality/value\u0000Literature review in this field showed it was found that in a number of developed countries, the issue of user innovation has been addressed, but in Iran as a developing country, no such research has been conducted so far. In addition, it was found that so far, no comprehensive research has identified barriers and incentives for user innovation, so this study, first surveyed the state of user innovation in Iran and then identified barriers and incentives for user innovation in Iran.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45263769","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 : 2023-06-07DOI: 10.1108/jstpm-07-2022-0109
Saeed Baghdadi, Abbas Khamseh, Seyed Hesamedin Madani
Purpose The purpose of this paper is to develop a commercialization model based on gaining economic benefits through the transfer of technological capabilities in the oil and gas industry. Since commercialization models are mostly based on the implement of technology to produce and sell new products, this study focuses on developing a specific independent technology commercialization model. Design/methodology/approach The method of this research is qualitative based on the grounded theory. For this purpose, general variables with content analysis were extracted by reviewing documents (Literature review) and then for identifying special components, interviewing experts in the Iranian oil and gas industry. Participations were selected using snowball sampling for semistructured interviews. Findings The findings of this research were extracted based on grounded theory with data analysis in MAXQDA software. In this research, first, 210 open codes were identified based on qualitative content analysis of relevant documents and results of interviews with experts. Then the classification of open codes was done, and 46 subcategories (variables) were determined in the commercialization model. Finally, 46 subcategories were classified into 10 categories as axial codes in grounded theory as components of the commercialization model. Research limitations/implications The results of this research have led to the creation of new practical and theoretical implications. In this research, a new perspective of commercialization with the aim of transferring technology and obtaining its economic benefits for oil and gas industry companies was discussed. Also, based on the practical implications explained in this research, policymakers can use the suggested model to effectively implement independent technology commercialization to acquire economic benefits. Originality/value This study is purely original and the outcome of the research conducted by the authors. The research findings are the outcome of in-depth study on technology commercialization in the Iranian oil and gas industry.
{"title":"An independent technology commercialization model in oil and gas industry: a grounded theory approach","authors":"Saeed Baghdadi, Abbas Khamseh, Seyed Hesamedin Madani","doi":"10.1108/jstpm-07-2022-0109","DOIUrl":"https://doi.org/10.1108/jstpm-07-2022-0109","url":null,"abstract":"Purpose The purpose of this paper is to develop a commercialization model based on gaining economic benefits through the transfer of technological capabilities in the oil and gas industry. Since commercialization models are mostly based on the implement of technology to produce and sell new products, this study focuses on developing a specific independent technology commercialization model. Design/methodology/approach The method of this research is qualitative based on the grounded theory. For this purpose, general variables with content analysis were extracted by reviewing documents (Literature review) and then for identifying special components, interviewing experts in the Iranian oil and gas industry. Participations were selected using snowball sampling for semistructured interviews. Findings The findings of this research were extracted based on grounded theory with data analysis in MAXQDA software. In this research, first, 210 open codes were identified based on qualitative content analysis of relevant documents and results of interviews with experts. Then the classification of open codes was done, and 46 subcategories (variables) were determined in the commercialization model. Finally, 46 subcategories were classified into 10 categories as axial codes in grounded theory as components of the commercialization model. Research limitations/implications The results of this research have led to the creation of new practical and theoretical implications. In this research, a new perspective of commercialization with the aim of transferring technology and obtaining its economic benefits for oil and gas industry companies was discussed. Also, based on the practical implications explained in this research, policymakers can use the suggested model to effectively implement independent technology commercialization to acquire economic benefits. Originality/value This study is purely original and the outcome of the research conducted by the authors. The research findings are the outcome of in-depth study on technology commercialization in the Iranian oil and gas industry.","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135365112","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 : 2023-06-02DOI: 10.1108/jstpm-09-2022-0163
H. Kaushik, Rohit Rajwanshi, Artee Bhadauria
Purpose The global research evidences indicate that the technology adoption in case of agribusiness has a potential to enhance the performance and bring operational efficiency. India is the world’s largest producer as well as consumer of milk but struggles with yield per cattle, overall productivity, low rate of technology acceptance and adoption, health detection of milching units, animal data recording and presence of dairy products in the global market. The purpose of this study is to focus on identifying the challenges of technology adoption in dairy farms and constructing a hierarchical model using soft systems methodology. Design/methodology/approach This study uses nominal group technique-based discussion with domain experts and personal interviews with dairy farm owners/managers for the identification of challenges, fuzzy interpretative structural modeling as well as FMICMAC to develop a hierarchical model of challenging elements and to divide the identified elements into four categories based on the dominance of driving-dependence power. Findings This research has developed a list of 12 challenges affecting the technology adoption in a dairy farm business unit, identified through the personal interviews with 60 dairy farms across three highest milk-producing states of India in terms of annual milk output – Haryana, Punjab and Uttar Pradesh. Lack of government support followed by lack of educational opportunities in dairy-based education were found as the most crucial and high driving challenges, whereas high cost, huge investment and low acceptance of decision-maker were found as the most dependent challenges of technology adoption. Research limitations/implications This research is one step ahead of interpretive structural modeling that considers the fuzzy-based dominance in the model to showcase the degree of relationship along with its existence, but it lacks to statistically validate the findings using techniques like SEM. Practical implications This paper has developed a list of challenges in adoption of technology along with their inter-relationships to highlight the required focus challenge that drives or is dependent on the other challenges. The goal is to bring performance improvement and assist Indian dairy farm business stakeholders or decision-makers in formulating strategic and action plans and help policy planners to make favorable policies based on the understanding of contextual relationship between challenges. Social implications In Indian context, dairy is an important part of agriculture sector, and milk is an essential item that facilitates income generation to small and rural households and a source item for several other businesses and activities. The results of this research suggested the policy planners and government to ensure subsidized and insured technologies, training support and facilities, educational opportunities and efforts for promotion of technology adoption among dairy farmers. The suggesti
{"title":"Modeling the challenges of technology adoption in dairy farming","authors":"H. Kaushik, Rohit Rajwanshi, Artee Bhadauria","doi":"10.1108/jstpm-09-2022-0163","DOIUrl":"https://doi.org/10.1108/jstpm-09-2022-0163","url":null,"abstract":"\u0000Purpose\u0000The global research evidences indicate that the technology adoption in case of agribusiness has a potential to enhance the performance and bring operational efficiency. India is the world’s largest producer as well as consumer of milk but struggles with yield per cattle, overall productivity, low rate of technology acceptance and adoption, health detection of milching units, animal data recording and presence of dairy products in the global market. The purpose of this study is to focus on identifying the challenges of technology adoption in dairy farms and constructing a hierarchical model using soft systems methodology.\u0000\u0000\u0000Design/methodology/approach\u0000This study uses nominal group technique-based discussion with domain experts and personal interviews with dairy farm owners/managers for the identification of challenges, fuzzy interpretative structural modeling as well as FMICMAC to develop a hierarchical model of challenging elements and to divide the identified elements into four categories based on the dominance of driving-dependence power.\u0000\u0000\u0000Findings\u0000This research has developed a list of 12 challenges affecting the technology adoption in a dairy farm business unit, identified through the personal interviews with 60 dairy farms across three highest milk-producing states of India in terms of annual milk output – Haryana, Punjab and Uttar Pradesh. Lack of government support followed by lack of educational opportunities in dairy-based education were found as the most crucial and high driving challenges, whereas high cost, huge investment and low acceptance of decision-maker were found as the most dependent challenges of technology adoption.\u0000\u0000\u0000Research limitations/implications\u0000This research is one step ahead of interpretive structural modeling that considers the fuzzy-based dominance in the model to showcase the degree of relationship along with its existence, but it lacks to statistically validate the findings using techniques like SEM.\u0000\u0000\u0000Practical implications\u0000This paper has developed a list of challenges in adoption of technology along with their inter-relationships to highlight the required focus challenge that drives or is dependent on the other challenges. The goal is to bring performance improvement and assist Indian dairy farm business stakeholders or decision-makers in formulating strategic and action plans and help policy planners to make favorable policies based on the understanding of contextual relationship between challenges.\u0000\u0000\u0000Social implications\u0000In Indian context, dairy is an important part of agriculture sector, and milk is an essential item that facilitates income generation to small and rural households and a source item for several other businesses and activities. The results of this research suggested the policy planners and government to ensure subsidized and insured technologies, training support and facilities, educational opportunities and efforts for promotion of technology adoption among dairy farmers. The suggesti","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47656093","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 : 2023-05-19DOI: 10.1108/jstpm-10-2022-0165
Zakee Saadat, A. Sultana
Purpose Gender disparity is a global phenomenon where females outnumber male participants. It has been observed that males are the early leaver from higher education, thus reflecting a severe concern about social instability. Malaysia is a prominent example where females outnumber males in higher education. In this context, this paper aims to examine the effect of individual, social and financial factors on the higher education self-efficacy of male and female students. It develops a comprehensive understanding of gender-based decision factors in pursuing higher education. Design/methodology/approach The hypothesis was formed based on a comprehensive literature review following the hypothetico-deductive positivist approach. These hypotheses were tested based on a sample of 250 respondents. A multiple regression analysis was deployed to test the relationship between the dependent variable and its predictors. Findings The results suggest that male and female students’ self-efficacy depends on five determinants, i.e. family influence, peer influence, career expectancy outcome, gender roles and institutional factors. Male students tend to be influenced more by these five determinants than females. Additionally, male students with better financial backgrounds are more likely to have higher self-efficacy, whereas gender roles negatively affect male and female students’ self-efficacy for higher education. Research limitations/implications The breakout of COVID-19 resulted in the selection of limited students in Malaysia. Due to restricted movement orders, it was impossible to reach out to the students for data collection. Future research could include a broader area to include multiple other regions of Malaysia. For a broader aspect, the study could be conducted in other areas/countries where the problem of less male participation exists. Practical implications The relationship between higher education self-efficacy is assessed with social, financial and institutional factors for male and female students. It will enable the stakeholders and policymakers to make better decisions in increasing the self-efficacy of students to attain equity in higher education institutions. Social implications The finding of this paper will assist in increasing male participation in higher education institutions to avoid any social instability. Originality/value This paper contributes to the literature in understanding the causes of gender gap reversal, focusing on Malaysian higher education institutions. It also provides empirical evidence to look at potential factors that affect the higher education self-efficacy of male and female students.
{"title":"Understanding gender disparity: factors affecting higher education self-efficacy of students in Malaysia","authors":"Zakee Saadat, A. Sultana","doi":"10.1108/jstpm-10-2022-0165","DOIUrl":"https://doi.org/10.1108/jstpm-10-2022-0165","url":null,"abstract":"\u0000Purpose\u0000Gender disparity is a global phenomenon where females outnumber male participants. It has been observed that males are the early leaver from higher education, thus reflecting a severe concern about social instability. Malaysia is a prominent example where females outnumber males in higher education. In this context, this paper aims to examine the effect of individual, social and financial factors on the higher education self-efficacy of male and female students. It develops a comprehensive understanding of gender-based decision factors in pursuing higher education.\u0000\u0000\u0000Design/methodology/approach\u0000The hypothesis was formed based on a comprehensive literature review following the hypothetico-deductive positivist approach. These hypotheses were tested based on a sample of 250 respondents. A multiple regression analysis was deployed to test the relationship between the dependent variable and its predictors.\u0000\u0000\u0000Findings\u0000The results suggest that male and female students’ self-efficacy depends on five determinants, i.e. family influence, peer influence, career expectancy outcome, gender roles and institutional factors. Male students tend to be influenced more by these five determinants than females. Additionally, male students with better financial backgrounds are more likely to have higher self-efficacy, whereas gender roles negatively affect male and female students’ self-efficacy for higher education.\u0000\u0000\u0000Research limitations/implications\u0000The breakout of COVID-19 resulted in the selection of limited students in Malaysia. Due to restricted movement orders, it was impossible to reach out to the students for data collection. Future research could include a broader area to include multiple other regions of Malaysia. For a broader aspect, the study could be conducted in other areas/countries where the problem of less male participation exists.\u0000\u0000\u0000Practical implications\u0000The relationship between higher education self-efficacy is assessed with social, financial and institutional factors for male and female students. It will enable the stakeholders and policymakers to make better decisions in increasing the self-efficacy of students to attain equity in higher education institutions.\u0000\u0000\u0000Social implications\u0000The finding of this paper will assist in increasing male participation in higher education institutions to avoid any social instability.\u0000\u0000\u0000Originality/value\u0000This paper contributes to the literature in understanding the causes of gender gap reversal, focusing on Malaysian higher education institutions. It also provides empirical evidence to look at potential factors that affect the higher education self-efficacy of male and female students.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48981941","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 : 2023-05-16DOI: 10.1108/jstpm-01-2022-0008
Ridha Aulia Rahmi, P. W. Handayani
Purpose The low adoption of mobile banking (m-banking) in Indonesia and limited research on the adoption of m-banking motivate this research to understand the factors needed in developing m-banking to support the achievement of the national digital economy strategy in creating a digital ecosystem in Indonesia. This study aims to analyze the individual perspective factors that influence the adoption of m-banking applications in Indonesia. Design/methodology/approach This study used a quantitative approach using an online questionnaire to survey 444 respondents who used m-banking applications in Indonesia. The data obtained were processed using covariance-based structural equation modeling. Findings The results showed that health consciousness, the availability of resources, personal innovativeness and perceived information quality factors influenced the adoption of mobile banking applications in the static stage. In addition, this study found that one adoption stage could positively impact another adoption stage in adopting m-banking applications. Practical implications The development of m-banking can be promoted by considering the readiness of operational support infrastructure, regulations and application development, including functionality, security and user experience. Superior m-banking has implemented an end-to-end banking process with integrated customer relationship management (CRM) that supports cross-selling features according to user needs. Originality/value This study addresses the knowledge gap on individual perspectives that influence m-banking applications adoption. The authors integrate the e-government adoption model and CRM model in this study.
{"title":"The influence of users’ perspective factors on mobile banking adoption in Indonesia","authors":"Ridha Aulia Rahmi, P. W. Handayani","doi":"10.1108/jstpm-01-2022-0008","DOIUrl":"https://doi.org/10.1108/jstpm-01-2022-0008","url":null,"abstract":"\u0000Purpose\u0000The low adoption of mobile banking (m-banking) in Indonesia and limited research on the adoption of m-banking motivate this research to understand the factors needed in developing m-banking to support the achievement of the national digital economy strategy in creating a digital ecosystem in Indonesia. This study aims to analyze the individual perspective factors that influence the adoption of m-banking applications in Indonesia.\u0000\u0000\u0000Design/methodology/approach\u0000This study used a quantitative approach using an online questionnaire to survey 444 respondents who used m-banking applications in Indonesia. The data obtained were processed using covariance-based structural equation modeling.\u0000\u0000\u0000Findings\u0000The results showed that health consciousness, the availability of resources, personal innovativeness and perceived information quality factors influenced the adoption of mobile banking applications in the static stage. In addition, this study found that one adoption stage could positively impact another adoption stage in adopting m-banking applications.\u0000\u0000\u0000Practical implications\u0000The development of m-banking can be promoted by considering the readiness of operational support infrastructure, regulations and application development, including functionality, security and user experience. Superior m-banking has implemented an end-to-end banking process with integrated customer relationship management (CRM) that supports cross-selling features according to user needs.\u0000\u0000\u0000Originality/value\u0000This study addresses the knowledge gap on individual perspectives that influence m-banking applications adoption. The authors integrate the e-government adoption model and CRM model in this study.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42902283","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 : 2023-05-15DOI: 10.1108/jstpm-05-2022-0088
Phoebe Yueng Hee Sia, S. Saidin, Y. Iskandar
Purpose Considering the limited understanding of determinants influencing the adoption of smart mobile tourism app (SMTA) featuring augmented reality (AR) and big data analytics (BDA), privacy concern (PC) and the risk of privacy information disclosure (PI) have threatened SMTA adoption. This study aims to propose an expanded consumer acceptance and use of information technology (UTAUT2) model by including new contextual components, integrated with privacy calculus theory (PCT) model to examine the determinants influencing behavioural intention (BI) to use SMTA. Design/methodology/approach Personal innovativeness (IN) and privacy information disclosure (PI) are incorporated in UTAUT2 model to determine its effect on SMTA featuring AR and BDA technologies from smart perspective. Both privacy concern (PC) and privacy risk (PR) derived from PCT model are also included to determine its influences on an individual's willingness to disclose privacy information for better-personalised services. We collected responses from 392 targeted participants, resulting in a strong response rate of 84.66%. These responses were analysed statistically using structural equation modeling in both SPSS 22.0 and SmartPLS 3.0. Findings Findings showed that personal innovativeness (IN), habit (HT) and performance expectancy (PE) significantly affect behavioural intention (BI) while privacy concern (PC) significantly affect privacy information disclosure (PI) to use SMTA. In contrast, effort expectancy (EE), hedonic motivation (HM) and privacy information disclosure (PI) had no significant effects on behavioural intention (BI) while privacy risk (PR) had no significant effects on privacy information disclosure (PI) to use SMTA. Originality/value The study findings help tourism practitioners in better comprehending recent trends of SMTA adoption for establishing targeted marketing strategies on apps to improve service quality. In addition, it enables app development companies acquire app users’ preferences to enhance their app development for leading app usage.
{"title":"Smart mobile tourism app featuring augmented reality and big data analytics: an empirical analysis using UTAUT2 and PCT models","authors":"Phoebe Yueng Hee Sia, S. Saidin, Y. Iskandar","doi":"10.1108/jstpm-05-2022-0088","DOIUrl":"https://doi.org/10.1108/jstpm-05-2022-0088","url":null,"abstract":"\u0000Purpose\u0000Considering the limited understanding of determinants influencing the adoption of smart mobile tourism app (SMTA) featuring augmented reality (AR) and big data analytics (BDA), privacy concern (PC) and the risk of privacy information disclosure (PI) have threatened SMTA adoption. This study aims to propose an expanded consumer acceptance and use of information technology (UTAUT2) model by including new contextual components, integrated with privacy calculus theory (PCT) model to examine the determinants influencing behavioural intention (BI) to use SMTA.\u0000\u0000\u0000Design/methodology/approach\u0000Personal innovativeness (IN) and privacy information disclosure (PI) are incorporated in UTAUT2 model to determine its effect on SMTA featuring AR and BDA technologies from smart perspective. Both privacy concern (PC) and privacy risk (PR) derived from PCT model are also included to determine its influences on an individual's willingness to disclose privacy information for better-personalised services. We collected responses from 392 targeted participants, resulting in a strong response rate of 84.66%. These responses were analysed statistically using structural equation modeling in both SPSS 22.0 and SmartPLS 3.0.\u0000\u0000\u0000Findings\u0000Findings showed that personal innovativeness (IN), habit (HT) and performance expectancy (PE) significantly affect behavioural intention (BI) while privacy concern (PC) significantly affect privacy information disclosure (PI) to use SMTA. In contrast, effort expectancy (EE), hedonic motivation (HM) and privacy information disclosure (PI) had no significant effects on behavioural intention (BI) while privacy risk (PR) had no significant effects on privacy information disclosure (PI) to use SMTA.\u0000\u0000\u0000Originality/value\u0000The study findings help tourism practitioners in better comprehending recent trends of SMTA adoption for establishing targeted marketing strategies on apps to improve service quality. In addition, it enables app development companies acquire app users’ preferences to enhance their app development for leading app usage.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47345285","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 : 2023-05-15DOI: 10.1108/jstpm-02-2023-0022
S. Tyagi, R. Krishankumar
Purpose The purpose of this study is to analyze the combined effect of eight factors – performance expectancy (PE), effort expectancy (EE), hedonic motivation (HM), system quality (SQ), information quality (IQ), service quality (SEQ), digital literacy (DL) and computer anxiety (CA) on learners’ behavioral intention (BI) toward the adoption of e-learning in higher education institutions (HEIs) in India. Design/methodology/approach The study used factors from two theoretical models, the extended Unified Theory of Acceptance and Use of Technology and the DeLone and McLean Information Systems Success model. The study also considered DL and CA as additional factors because they could affect a learner’s intention in a developing country like India. Data were collected from three HEIs in Southern India and analyzed using fuzzy qualitative and comparative analysis (fsQCA). Findings The results of the study emphasize the importance of considering both individual and technological factors in e-learning adoption and provide evidence for the significance of integrating multiple theories in understanding the complex relationship between factors and learners’ BI. Four different configurations of the eight factors: EE*HM*SQ*IQ*SEQ*DL*∼CA; PE*EE*HM*SQ*IQ*DL*CA; PE*EE*HM*IQ*SEQ*DL*CA; and PE*EE*SQ*IQ*SEQ*DL*CA found to be sufficient to cause learners’ BI to use e-learning. Research limitations/implications This study explores the complex relationship between different factors and learners’ intention to adopt e-learning using the fsQCA method. These findings may need further validation in HEIs across different geographical locations. Practical implications This study provides practical insights for HEIs in India and other developing countries on how different factors combine and interact to determine e-learning adoption in multiple contexts. Originality/value Using fsQCA as a novel and rigorous method, this study uncovers the complex and nonlinear causal relationships among various factors that affect e-learning adoption. This study provides a holistic and contextualized understanding of e-learning adoption in a developing country’s scenario. This study can inform educators and policymakers on how to design and implement effective e-learning strategies that suit different learner profiles and contexts.
{"title":"Examining interactions of factors affecting e-learning adoption in higher education: insights from a fuzzy set qualitative and comparative analysis","authors":"S. Tyagi, R. Krishankumar","doi":"10.1108/jstpm-02-2023-0022","DOIUrl":"https://doi.org/10.1108/jstpm-02-2023-0022","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to analyze the combined effect of eight factors – performance expectancy (PE), effort expectancy (EE), hedonic motivation (HM), system quality (SQ), information quality (IQ), service quality (SEQ), digital literacy (DL) and computer anxiety (CA) on learners’ behavioral intention (BI) toward the adoption of e-learning in higher education institutions (HEIs) in India.\u0000\u0000\u0000Design/methodology/approach\u0000The study used factors from two theoretical models, the extended Unified Theory of Acceptance and Use of Technology and the DeLone and McLean Information Systems Success model. The study also considered DL and CA as additional factors because they could affect a learner’s intention in a developing country like India. Data were collected from three HEIs in Southern India and analyzed using fuzzy qualitative and comparative analysis (fsQCA).\u0000\u0000\u0000Findings\u0000The results of the study emphasize the importance of considering both individual and technological factors in e-learning adoption and provide evidence for the significance of integrating multiple theories in understanding the complex relationship between factors and learners’ BI. Four different configurations of the eight factors: EE*HM*SQ*IQ*SEQ*DL*∼CA; PE*EE*HM*SQ*IQ*DL*CA; PE*EE*HM*IQ*SEQ*DL*CA; and PE*EE*SQ*IQ*SEQ*DL*CA found to be sufficient to cause learners’ BI to use e-learning.\u0000\u0000\u0000Research limitations/implications\u0000This study explores the complex relationship between different factors and learners’ intention to adopt e-learning using the fsQCA method. These findings may need further validation in HEIs across different geographical locations.\u0000\u0000\u0000Practical implications\u0000This study provides practical insights for HEIs in India and other developing countries on how different factors combine and interact to determine e-learning adoption in multiple contexts.\u0000\u0000\u0000Originality/value\u0000Using fsQCA as a novel and rigorous method, this study uncovers the complex and nonlinear causal relationships among various factors that affect e-learning adoption. This study provides a holistic and contextualized understanding of e-learning adoption in a developing country’s scenario. This study can inform educators and policymakers on how to design and implement effective e-learning strategies that suit different learner profiles and contexts.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48511671","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 : 2023-05-15DOI: 10.1108/jstpm-09-2021-0137
Eric Amankwa, Godfred Amissah, Richard Okoampa-Larbi
Purpose The purpose of this study is to offer a conceptual model that bridges gaps in the current research by combining constructs from the health belief model (HBM) and theory of planned behaviour (TPB). Furthermore, the researchers applied the constructed model to analyse the determinants of workers’ intentions to use e-wallet payment options for business transactions rather than physical currency during the ongoing COVID-19 pandemic. Finally, the paper examines whether there are any significant variations in the usage intentions of Ghanaian workers in the formal and informal sectors. Design/methodology/approach The non-probability convenience sampling technique was used to compile the primary respondents among Ghanaian users of e-wallets. Based on constructs derived from the HBM and TPB, an online survey involving the use of a questionnaire was administered to collect quantitative data from 285 formal and informal sector workers in Ghana. Data collected was analysed using the partial least squares-structural equation modelling approach involving the measurement, structural model tests, hypothesis tests and multi-group analysis (MGA) tests. Findings This study reveals that workers’ attitudes, subjective norms and perceived susceptibility as the main determinants of intentions to use e-wallets, as the analysis of data lends support to hypotheses involving these constructs. Perceived behavioural control was however not supported by the data analysis as a determinant of workers’ intention. Finally, there were no significant differences between e-wallet usage intentions of formal and informal sector workers in Ghana. Research limitations/implications Given the ongoing pandemic, the study recommends that governments of emerging economies should formulate policies that promote the use of e-wallets, to reduce the spread of COVID-19 and at the same time contribute to the quest for a cashless economy. However, the results of the study are only based on data collected from workers in Ghana. Therefore, practitioners should apply the recommendations with discretion and make modifications where necessary. The results of the study also provide evidence from the context of a developing country that can support future academic pursuits. Practical implications This study provides evidence that influences practitioners’ decisions and practices regarding the design and implementation of e-wallet services and innovations among workers in the formal and informal sectors of the economy. Originality/value This study provides useful business insights to user acquisition managers, marketing managers and business development managers during the formulation of policies, strategies and approaches for their mobile wallet subscriber base. Moreover, to the best of the authors’ knowledge, this study is one of the first to apply the constructs of the HBM (mainly applied in health research) to the study of workers’ intentions to use e-wallets. It, therefore, makes a
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Pub Date : 2023-05-09DOI: 10.1108/jstpm-11-2021-0175
A. George, J. Tarr
Purpose To increase university–industry collaboration and research commercialisation, the Australian government recently introduced the Intellectual Property (IP) Framework, a set of online standard contracts. This follows a predecessor standard contract initiative, the IP Toolkit, which has not previously been evaluated. This paper aims to examine standard contracting in the innovation sector, tracing the policymaking behind the IP Toolkit using the lens of Macneil’s relational contract theory, to assess prospects of success for the new IP Framework, and similar initiatives in other jurisdictions. Design/methodology/approach This is a disciplined-configurative case study, drawing on qualitative secondary data analysis and applying Macneil’s relational contracting theory to guide case construction and generate hypotheses around likely success of standard contracting initiatives (stakeholder sentiment, stakeholder adoption). Within-case analysis process-traces development of the IP Toolkit, to discover what the policymakers wanted, knew and computed – and to detail observable implications Macneil’s theory predicts. Its themes are triangulated with multiple sources. Findings The case study, via Macneil’s theory, confirms the first hypothesis (resistant stakeholder sentiment) and partly validates the second hypothesis (low levels of adoption), demonstrating limited suitability of standard contracting in the dynamic and highly uncertain space of university–industry collaboration. Research limitations/implications The study provides insights into the limited role that standard contracts can play in improving national collaborative research and development performance. Originality/value This is a novel theory-driven case study triangulated with previously unpublished data on the IP Toolkit’s website usage, and data from recent consultations on the new IP Framework. It has broader implications for other jurisdictions considering adoption of the standard contract model.
{"title":"A case study in innovation policymaking: standard contracts as a tool to improve university–industry collaboration","authors":"A. George, J. Tarr","doi":"10.1108/jstpm-11-2021-0175","DOIUrl":"https://doi.org/10.1108/jstpm-11-2021-0175","url":null,"abstract":"\u0000Purpose\u0000To increase university–industry collaboration and research commercialisation, the Australian government recently introduced the Intellectual Property (IP) Framework, a set of online standard contracts. This follows a predecessor standard contract initiative, the IP Toolkit, which has not previously been evaluated. This paper aims to examine standard contracting in the innovation sector, tracing the policymaking behind the IP Toolkit using the lens of Macneil’s relational contract theory, to assess prospects of success for the new IP Framework, and similar initiatives in other jurisdictions.\u0000\u0000\u0000Design/methodology/approach\u0000This is a disciplined-configurative case study, drawing on qualitative secondary data analysis and applying Macneil’s relational contracting theory to guide case construction and generate hypotheses around likely success of standard contracting initiatives (stakeholder sentiment, stakeholder adoption). Within-case analysis process-traces development of the IP Toolkit, to discover what the policymakers wanted, knew and computed – and to detail observable implications Macneil’s theory predicts. Its themes are triangulated with multiple sources.\u0000\u0000\u0000Findings\u0000The case study, via Macneil’s theory, confirms the first hypothesis (resistant stakeholder sentiment) and partly validates the second hypothesis (low levels of adoption), demonstrating limited suitability of standard contracting in the dynamic and highly uncertain space of university–industry collaboration.\u0000\u0000\u0000Research limitations/implications\u0000The study provides insights into the limited role that standard contracts can play in improving national collaborative research and development performance.\u0000\u0000\u0000Originality/value\u0000This is a novel theory-driven case study triangulated with previously unpublished data on the IP Toolkit’s website usage, and data from recent consultations on the new IP Framework. It has broader implications for other jurisdictions considering adoption of the standard contract model.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44607551","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 : 2023-05-05DOI: 10.1108/jstpm-05-2022-0090
Shivangi Verma, N. Garg
Purpose Post-millennial youths are well equipped with internet technology and computers since birth and find it easier to operate computers and technologies than their previous generations. With the advancement of technology, the ethical dilemma associated with its use has evolved. This paper aims to develop and validate a measurement scale for the ethical orientation of post-millennial technology usage by capturing the key factors that best describe the behavior adopted by students. Design/methodology/approach A systematic scale development procedure was used, involving both reviews of the literature and focus group discussions to generate the items that specify the domain of this study. After generating items, exploratory factor analysis and confirmatory factor analysis were applied to identify latent constructs of techno-ethical orientation. Lastly, the scale was subjected to reliability and validity testing. Findings The study found that the techno-ethical orientation scale has five dimensions: privacy concerns, classroom behavior, accessibility dilemma, social media usage and assignment ethics. Overall, a scale comprising 17 statements was derived. Research limitations/implications The findings of our study attempt to augment the growing efforts to explore all facets of techno-ethics. It is probably the first attempt to develop a valid and reliable scale for the techno-ethical orientation of post-millennial. Practical implications This scale could be used by academicians and practitioners to assess the techno-ethical orientation of post-millennial for positive interventions. Originality/value This study derives a new reliable and valid scale for measuring the techno-ethical orientation of post-millennial toward technology usage.
{"title":"Development and validation of techno-ethical orientation scale for Indian post-millennial students","authors":"Shivangi Verma, N. Garg","doi":"10.1108/jstpm-05-2022-0090","DOIUrl":"https://doi.org/10.1108/jstpm-05-2022-0090","url":null,"abstract":"\u0000Purpose\u0000Post-millennial youths are well equipped with internet technology and computers since birth and find it easier to operate computers and technologies than their previous generations. With the advancement of technology, the ethical dilemma associated with its use has evolved. This paper aims to develop and validate a measurement scale for the ethical orientation of post-millennial technology usage by capturing the key factors that best describe the behavior adopted by students.\u0000\u0000\u0000Design/methodology/approach\u0000A systematic scale development procedure was used, involving both reviews of the literature and focus group discussions to generate the items that specify the domain of this study. After generating items, exploratory factor analysis and confirmatory factor analysis were applied to identify latent constructs of techno-ethical orientation. Lastly, the scale was subjected to reliability and validity testing.\u0000\u0000\u0000Findings\u0000The study found that the techno-ethical orientation scale has five dimensions: privacy concerns, classroom behavior, accessibility dilemma, social media usage and assignment ethics. Overall, a scale comprising 17 statements was derived.\u0000\u0000\u0000Research limitations/implications\u0000The findings of our study attempt to augment the growing efforts to explore all facets of techno-ethics. It is probably the first attempt to develop a valid and reliable scale for the techno-ethical orientation of post-millennial.\u0000\u0000\u0000Practical implications\u0000This scale could be used by academicians and practitioners to assess the techno-ethical orientation of post-millennial for positive interventions.\u0000\u0000\u0000Originality/value\u0000This study derives a new reliable and valid scale for measuring the techno-ethical orientation of post-millennial toward technology usage.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49298263","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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