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Authors:Hans Kaushik, Rohit Rajwanshi, Artee Bhadauria Abstract: 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. 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. 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. 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. 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. 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 suggestions are purely on the basis of the relevance of challenges in the hierarchy and can play a significant role in improving the level of technology adoption and can ultimately uplift the social and economic well-being from micro-level of farmers to macro-stage concerning economic development of India. To the best of the authors’ knowledge, this study is purely original and outcome of the research conducted by authors. Citation: Journal of Science and Technology Policy Management PubDate: 2023-06-02 DOI: 10.1108/JSTPM-09-2022-0163 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Zakee Saadat, A.M. Sultana Abstract: 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. 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. 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. 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. 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. The finding of this paper will assist in increasing male participation in higher education institutions to avoid any social instability. 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. Citation: Journal of Science and Technology Policy Management PubDate: 2023-05-19 DOI: 10.1108/JSTPM-10-2022-0165 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Ridha Aulia Rahmi, Putu Wuri Handayani Abstract: 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. 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. 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. 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. 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. Citation: Journal of Science and Technology Policy Management PubDate: 2023-05-16 DOI: 10.1108/JSTPM-01-2022-0008 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Sanjay Kumar Tyagi, Raghunathan Krishankumar Abstract: 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. 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). 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. 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. 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. 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. Citation: Journal of Science and Technology Policy Management PubDate: 2023-05-15 DOI: 10.1108/JSTPM-02-2023-0022 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Phoebe Yueng-Hee Sia, Siti Salina Saidin, Yulita Hanum P. Iskandar Abstract: 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. 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 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. 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. Citation: Journal of Science and Technology Policy Management PubDate: 2023-05-15 DOI: 10.1108/JSTPM-05-2022-0088 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Eric Amankwa, Godfred Amissah, Richard Okoampa-Larbi Abstract: 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. 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. 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. 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. 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. 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 significant contribution to the existing literature by examining the combined effects of the constructs of the HBM and the TPB on workers’ intention to use e-wallets. Citation: Journal of Science and Technology Policy Management PubDate: 2023-05-15 DOI: 10.1108/JSTPM-09-2021-0137 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:A.J. George, Julie-Anne Tarr Abstract: 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. 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. 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. The study provides insights into the limited role that standard contracts can play in improving national collaborative research and development performance. 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. Citation: Journal of Science and Technology Policy Management PubDate: 2023-05-09 DOI: 10.1108/JSTPM-11-2021-0175 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Shivangi Verma, Naval Garg Abstract: 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. 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. 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. 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. This scale could be used by academicians and practitioners to assess the techno-ethical orientation of post-millennial for positive interventions. This study derives a new reliable and valid scale for measuring the techno-ethical orientation of post-millennial toward technology usage. Citation: Journal of Science and Technology Policy Management PubDate: 2023-05-05 DOI: 10.1108/JSTPM-05-2022-0090 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Waqar Ahmed, Noman Islam, Hafsa Naeem Qureshi Abstract: Technological development has been a cornerstone of any emerging economy in the past few years. Blockchain has emerged as a promising technology in the past few years, revolutionizing business dynamics. There is always a concern or hesitation during such novel technological innovation. This paper aims to investigate the blockchain technology (BCT) implementation and acceptance in the supply chain function domain. The proposed model is based on the Technology Readiness Index (TRI) and extended theory of planned behavior (TPB). The responses were collected from information technology (IT) professionals working at management positions in various manufacturing industries. A total of 147 usable responses were collected for analyzing hypotheses using structural equation modeling. As per the findings, perceived ease of use significantly impacts perceived usefulness and attitude toward technology acceptability. Perceived usefulness is significant to attitude toward use. Trust in technology has a significant impact on building up the attitude to use the technology. The novelty of this work lies in gauging the acceptability of new ways and means of transacting among supply chain professionals and decision-makers. This study provides a broader perspective regarding reluctance and acceptance of the BCT in the developing country that may help the technologist to elucidate better for smooth adoption. Citation: Journal of Science and Technology Policy Management PubDate: 2023-05-04 DOI: 10.1108/JSTPM-06-2022-0097 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Salman Khan, Safeer Ullah Khan, Ikram Ullah Khan, Sher Zaman Khan, Rafi Ullah Khan Abstract: This study aims to explore the consumers’ choices of mobile payments (m-payments) using a comprehensive unified model. The financial technology for digital m-payment has been increasingly introduced in the market, yet their acceptance has remained low. This study uses the unified theory of acceptance and use of technology (UTAUT) with additional constructs of social influence, trust, anxiety, personal innovativeness and grievance redressal (GR). Structural equation modeling is used to evaluate the predictive model of attitudes toward m-payment. Individuals’ responses to questions regarding their attitude and intention to accept m-payment were gathered and examined through the lens of extended UTAUT model. While the model supports TAM classical role, empirical examination of the model revealed that users’ attitudes and intentions are influenced by trust, personal innovativeness and social influence. Moreover, intention to use and GR are significant positive predictors of m-payment usage behavior. M-payment provides customers with new digital payment platforms while providing businesses and marketing agents with more alternatives for online marketing. However, there is not much reported about m-payment adoption in Pakistan. This research introduces and evaluates new constructs that were not included in the original model. In Pakistan, to the best of the authors’ knowledge, this is a first of its kind of research which is purely based on the customers’ perspective of m-payment adoption. Citation: Journal of Science and Technology Policy Management PubDate: 2023-05-03 DOI: 10.1108/JSTPM-07-2021-0110 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Razib Chandra Chanda, Salmi Mohd Isa, Tofayel Ahmed Abstract: The purpose of this study is to examine the contribution of environmental knowledge and environmental sensitivity on the green purchasing intention of Bangladeshi consumers by using an extended theory of planned behavior. Quantitative research method was used to collect 369 data by using a convenient sampling method. Data was analyzed using partial least square while a structural equation model was applied to measure causal relations among the variables. The findings of this study demonstrate that subjective norms, attitude toward green products and perceived behavioral control have a positive and significant relationship with green purchasing intention. Moreover, environmental knowledge has also a positive and significant relationship with environmental sensitivity. There is a positive and significant association between environmental sensitivity and attitude toward green products, while the relationship between environmental knowledge and attitude toward green products was found insignificant. Quality of green products does not moderate the relationship between attitude toward green products and green purchasing intention. The results further indicate that environmental sensitivity mediates the relationship between environmental knowledge and attitude toward green products. Attitude toward green products also mediates the relationship between environmental sensitivity and green purchasing intention. At the same time, environmental sensitivity and attitude toward green products jointly mediate the relationship between environmental knowledge and green purchasing intention. However, attitude toward green products does not mediate the relationship between environmental knowledge and green purchasing intention. This study may be used to guide managers who are planning to launch green products in the Bangladeshi market for choosing their target markets and a great insight for the government to produce environmentally friendly consumption policy for citizens and environmental conservation. Citation: Journal of Science and Technology Policy Management PubDate: 2023-05-01 DOI: 10.1108/JSTPM-03-2022-0044 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Yaser Hasan Salem Al-Mamary, Malika Anwar Siddiqui, Shirien Gaffar Abdalraheem, Fawaz Jazim, Mohammed Abdulrab, Redhwan Qasem Rashed, Abdulsalam S. Alquhaif, Abubakar Aliyu Alhaji Abstract: The purpose of this study is to identify the factors that influence the willingness of Saudi Arabian students from four universities in Saudi Arabia, to adopt learning management systems (LMSs). This will be accomplished by using two popular technology acceptance models unified theory of acceptance and use of technology (UTAUT) and theory of planned behavior (TPB). In total, 445 undergraduates from four Saudi educational institutions participate in filling out the study questionnaire. To investigate the correlations between the variables, the study used structural equation modeling for data analysis. The results of the study show that effort expectancy (EE), subjective norm (SN), attitude toward behavior (ATB) and perceived behavioral control (PBC) are found to be substantially connected with their intentions to use (ITU) LMSs. The findings also show that there is a strong relationship between students’ intentions and their actual use of LMSs. Like many studies, this research has some limitations. The primary limitation is that the findings of the study cannot be extrapolated to other settings since the report’s analysis and investigation were limited to four Saudi universities. Therefore, to generalize the study’s findings, similar research needs to be conducted in other Gulf and similar cultural universities. The integrated model identifies key factors that influence the intent of Saudi Arabian students to use LMS, including EEs, social influence, ATB and PBC. This model can help develop solutions for the obstacles that prevent students from using LMS. The findings can be used to provide assistance to increase the likelihood of LMS acceptance as part of the educational experience. The model may also inspire further research on this topic in the Gulf nations, particularly in Saudi Arabia. As none of the relevant studies conducted previously in Saudi Arabia has integrated the two models to study the students’ ITU LMSs, this study combines two major theories, TPB and UTAUT, in the context of Saudi Arabia, contributing to the field of technology use in education by expanding empirical research and providing a thorough understanding of the challenges associated with the use of LMS in Saudi universities. This study should be viewed as filling a crucial gap in the field. Moreover, this integrated model, using more than one theoretical perspective, brings a thorough comprehension of the barriers that hinder students’ adoption of LMSs in the academic context in Saudi Arabia and thus assists in making effective decisions and reaching viable solutions. Citation: Journal of Science and Technology Policy Management PubDate: 2023-04-28 DOI: 10.1108/JSTPM-04-2022-0068 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Syed Alamdar Ali Shah, Bayu Arie Fianto, Asad Ejaz Sheikh, Raditya Sukmana, Umar Nawaz Kayani, Abdul Rahim Bin Ridzuan Abstract: The purpose of this study aims to examine the effect of fintech on pre- and post-financing credit risks faced by the Islamic banks. This research uses primary data for fintech awareness and adoption and secondary data of various financial and economic variables from 2009 to 2021. It uses baseline regression to identify moderation of fintech controlling gross domestic products, size, return on assets and leverage. The findings are confirmed using robustness against key variable bias. It also uses a dynamic panel two-stage generalized method of moments for endogeneity. The study finds that the fintech awareness and adoption are not the same across all Islamic countries. The Asia Pacific region is far ahead of the other two regions where Indonesia is ahead in terms of fintech awareness and adoption, and Malaysia is ahead in terms of reaping its benefits in credit risk management. Fintech affects prefinancing credit risk significantly more than postfinancing credit risk. Also, the study finds that Islamic banks suffer from the problem of “Adverse selection under Shariah compliance.” This research invites regulators to introduce fintech in Islamic banks on war footing. Similar studies can be conducted on the role of other risks such as operational and market risks. Fintech will also help in improving the risk profile and stability of Islamic banks against systemic risks and financial crises. This research has variety of originalities. First, it is the pioneering study that addresses the effect of fintech pre- and post-financing credit risks in Islamic banks. Second, it identifies “Adverse selection under Shariah compliance” for Islamic banks. Third, it helps identify how fintech can be useful in reducing credit risk that will help in reducing capital charge for regulatory capital. Citation: Journal of Science and Technology Policy Management PubDate: 2023-04-28 DOI: 10.1108/JSTPM-06-2022-0104 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Bokolo Anthony Jnr Abstract: Disasters and pandemics pose challenges to health-care provision. Accordingly, the need for adopting innovative approach is required in providing care to patient. Therefore, the purpose of this study is to present telehealth as an innovative approach for providing care to patients and reducing spread of the infection and advocates for the adoption of telehealth for digitalized treatment of patients. An integrative review methodology of existing evidence was conducted to provide implications for integration of telehealth for digitalized treatment of patients. This paper draws on Technology Organization Environment (TOE) framework to develop a model and propositions to investigate the factors that influence telehealth adoption from the perspective of the supply side and the demand side of medical services. Findings from this study discuss applications adopted for telehealth and recommendations on how telehealth can be adopted for medical-care delivery. More importantly, the findings and propositions of this study can act as a roadmap to potential research opportunities within and beyond the pandemic. In addition, findings from this study help provide guidelines on how health practitioners can rapidly integrate telehealth into practice for public health emergencies. This study identifies the social, technological and organizational factors that influence telehealth adoption, and opportunities of adopting telehealth during the public health emergencies. This study concludes that specific policy changes to improve integration of interoperable solutions; data security; better physical infrastructures; broadband access; better transition and workflow balance; availability of funding and remuneration; regulations and reimbursement; awareness; and training will improve telehealth adoption during public health emergencies. Citation: Journal of Science and Technology Policy Management PubDate: 2023-04-27 DOI: 10.1108/JSTPM-05-2022-0079 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Jean Paolo Gomez Lacap, Melody Narisma Plaza, Jamielene Caballero, Maricar dela Cruz Abstract: This study aims to explore the influence of perceived value, enjoyment and novelty of fast-food chains’ smart retailing technology (SRT) on Filipino consumers’ attitude and loyalty. Purposive sampling was used in identifying the respondents (N = 343). The participants were composed of consumers of the leading fast-food chains in the Philippines, where SRT using self-service ordering kiosks is being implemented. The hypotheses were explored using partial least squares path modeling, and predictive-causal was the study’s research design. The results reveal that, among the factors, perceived enjoyment substantially contributes to the formation of favorable consumers’ attitude toward SRT. Moreover, perceived value was found to have a moderate effect on attitude while perceived novelty showed small impact. In terms of consumers’ attitude and loyalty, the two variables were found to have large positive and significant relationship. The moderation analysis shows that consumers’ attitude toward SRT has medium indirect effect on the relationship between perceived enjoyment and loyalty, while there is small indirect influence on the links between perceived value and loyalty, and between perceived novelty and loyalty. As more and more fast-food establishments are adopting the use of SRT via self-ordering kiosks, the present study is the only study in the Philippine context that explores how perceived value, enjoyment and novelty affect consumers’ attitude and loyalty. Citation: Journal of Science and Technology Policy Management PubDate: 2023-04-19 DOI: 10.1108/JSTPM-09-2022-0159 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Tri Sulistyaningsih, Mohammad Jafar Loilatu, Ali Roziqin Abstract: Smart urban governance research has progressed over the past few decades following changes and increasingly complicated city management difficulties. Therefore, the purpose of this paper is to use a scoping review and bibliometric analysis to examine all the publications on smart urban governance, especially in Asia. A total of 1,900 smart urban governance articles indexed in the Scopus database was analyzed through scoping review and bibliometric analysis. The articles were analyzed by the number of publications per year, contributing countries, subject areas, authors, cited documents, related issues and cited papers. Furthermore, VOSviewer was used to provide a visual analysis of the co-occurrence of keywords. This study indicated that urban smart governance publications continue to increase yearly. Even though the area of analysis is Asia, the USA and China seriously contributed to the analysis. Therefore, the topic of smart urban governance has become a discussion for scholars in the international. From the Scopus database analysis, the top three subject areas are social sciences (28%), environmental science (20%) and medicine (16%). The synthesis using bibliometric analysis by VOSviewer obtained 13 clusters. This study only focuses on the Scopus database and one specific topic, using one bibliometric analysis tool. Meanwhile, national and international index databases are not used. This paper examined publication trends on smart urban governance. This paper provided a comprehensive analysis of topic-specific knowledge areas based on previous studies. Additionally, this paper suggested the direction of the development of smart urban governance in the future. Citation: Journal of Science and Technology Policy Management PubDate: 2023-04-12 DOI: 10.1108/JSTPM-03-2022-0045 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Bokolo Anthony Jnr Abstract: As the novel coronavirus 2019 (COVID-19) impacts the world, software practitioners are collaboratively working remotely from home. The pandemic has disrupted software practitioners’ productivity forcing changes to agile methodology adopted by software practitioners in software organizations. Therefore, this study aims to provide implication on the issues and recommendations for improving software practitioners’ productivity and also examine the impact of the COVID-19 pandemic on agile software development. This paper adopts a narrative literature review to provide early assessment based on secondary data from the literature and available document reports from studies published from 2019 to 2022 to explore software practitioners’ productivity and agile software development during the working from home directive amidst the COVID-19 pandemic. A total of 60 sources which met the inclusion criteria were used to provide preliminary evidence grounded on secondary data from the literature. Descriptive analysis was used to provide qualitative findings from the literature. Findings from this study present the significance of working from home directive on agile software development and software practitioners’ productivity. More importantly, findings from the secondary data shed light on software practitioners’ productivity adopting agile software development amidst the COVID-19 pandemic. Additionally, the findings present virtual collaborative platforms used by software practitioners, technical and social barriers of agile software development during the pandemic and recommendations for remote agile software development. This study explores the significance of working from home directive on software practitioners’ productivity during COVID-19 pandemic and further investigates how are software practitioners’ productivity adopting agile software development practices amidst the COVID-19 pandemic. Besides, this study discusses the challenges software practitioners currently face and offers some strategies to bridge the gaps in agile software development to help software practitioners, system developers, software managers and software organizations adapt to the changes caused by the pandemic. Citation: Journal of Science and Technology Policy Management PubDate: 2023-04-12 DOI: 10.1108/JSTPM-05-2022-0093 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Aswathy Sreenivasan, M. Suresh Abstract: When coping with uncertainties, three characteristics distinguish firms: agility, adaptability and alignment (triple-A). Based on significant field research, the triple-A highlights the significance of coordinating agility, adaptability and alignment. Start-ups are facing a lot of challenges in this turbulent environment. However, this sector is undergoing a major transformation. Agility, adaptability and alignment concepts have had a major influence on the supply chain, but their implementation in start-ups has been less visible. This paper aims to identify, analyze and categorize the enablers for agility, adaptability and alignment in start-ups using the total interpretive structural modeling (TISM) approach. In addition to the scheduled interview, a closed-ended questionnaire was used to collect data. To identify how the factors interact, the TISM technique is used, and the Matriced’Impacts Croises-Multipication Applique’ and Classment method is used to rank and categorize the agility, adaptability and alignment enablers. This study identified ten agility, adaptability and alignment factors for start-ups. It has been found that the key importance should be given to management involvement, conflict management, collaboration and information integration. This study primarily focused on the agility, adaptability and alignment factors in start-ups. This study will help academics and key stakeholders understand the aspects that lead to agility, adaptability and alignment in start-ups. Agility, adaptability and alignment concepts have had a major influence on the supply chain, but their implementation in start-ups has been less visible. Therefore, this is a novel attempt in this industry’s agility, adaptability and alignment. Citation: Journal of Science and Technology Policy Management PubDate: 2023-04-07 DOI: 10.1108/JSTPM-05-2022-0083 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Mohammad Reza Zahedi, Shayan Naghdi Khanachah, Shirin Papoli Abstract: The purpose of this study paper is to identify and prioritize the factors affecting the knowledge flow in high-tech industries. This research is applied in terms of purpose and descriptive-survey in terms of data collection method. This research has been done in a qualitative–quantitative method. In the qualitative part, due to the nature of the data in this study, expert interviews have been used. The sample studied in this research includes 35 managers and expert professors with experience in the field of knowledge management working in universities and high-tech industries who have been selected by the method of snowball. In the quantitative part, the questionnaire tool and DANP multivariate decision-making method have been used. In this study, a multicriteria decision-making technique using a combination of DEMATEL and ANP (DANP) was used to identify and prioritize the factors affecting the knowledge flow in high-tech industries. In this study, the factors affecting the knowledge flow, including 8 main factors and 31 subfactors, were selected. Human resources, organizational structure, organizational culture, knowledge communication, knowledge management tools, knowledge characteristics, laws, policies and regulations and financial resources were effective in improving knowledge flow, respectively. By studying the research, it was found that the study area is limited, and the previous work has remained at the level of documentation and little practical use has been done. In previous research, the discussion of knowledge flow has not been very open, and doing incomplete work causes limited experiences and increases cost and time wastage, and parallel work may also occur. Therefore, to complete the knowledge management circle and fully achieve the research objectives, as well as to make available and transfer the experiences of people working in this field and also to save time and reduce costs, the contents and factors of previous models have been counted. It is designed for high-tech industries, a model for the flow of knowledge. Citation: Journal of Science and Technology Policy Management PubDate: 2023-03-31 DOI: 10.1108/JSTPM-01-2021-0011 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Donard Games, Dessy Kurnia Sari, Nurul Khairiyyah, Hussain Albin Shaikh Abstract: The phenomenon of fear and anxiety can cause a decline in entrepreneurship. However, the validity of this assertion remains debatable, as opportunity-driven entrepreneurs may benefit from elevated uncertainty during a crisis. This study aims to examine entrepreneurial fear of failure and the well-being of opportunity-driven entrepreneurs in their startup stage during the COVID-19 outbreak. Opportunity-driven startups are oriented toward business growth but may need assistance from incubators. The study used a qualitative method, where ten participants from incubated and non-incubated startups in Indonesia were interviewed. Thematic analysis was conducted using NVivo 12 software to analyze the data. This study shows that the interviewees subjected to incubation tended to derive motivation from fear of failure. In contrast, nonincubated interviewees showed a propensity to experience fear of failure as repression and inhibition. Furthermore, the study highlights the correlation between entrepreneurial fear of failure and eudaimonic well-being. This study contributes to the literature with empirical results on fear of failure capturing the essence of entrepreneurial behavior during crises/pandemic in the context of business startups. It provides valuable insights into the policy implications for promoting innovation among startups in specific contexts. Citation: Journal of Science and Technology Policy Management PubDate: 2023-03-28 DOI: 10.1108/JSTPM-03-2022-0052 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Som Sekhar Bhattacharyya Abstract: The advent of robotics and automation technologies was augmenting firm initiatives to attain competitive advantage. From a resource-based view perspective, human-led capabilities were important to operate with technology resource base of an organisation. This was evident for both manufacturing as well as services firms. However, employees as an individual confronted technology anxiety (TA) when they were working with new technologies like robotics and automation technologies. Thus, the purpose of this paper was to examine the factors causing TA. Given the novelty of this research study context a qualitative exploratory method was designed. For this research study, the data collected was through in-depth interviews conducted through open-ended semi-structured questionnaire. The data was collected from 62 frontline employees who were working with robotics and automation-based technologies in manufacturing firms. The authors applied thematic content analysis on collected data for analysis. Technology anxieties ranged from fear of complete inability to learn new technologies, failure to learn new technologies properly, incapability to implement the learned skills and job loss to younger technology savvy employees. Finally, there was anxiety over job loss as automation and robotic technologies over the years was expected to erode the employment of human workforce altogether. The author undertook the research study based upon the TA perspective advocated by Meuter et al. (2003) and Yang and Forney (2013). Furthermore, this research study in the context of robotics and automation-based technologies in the manufacturing sector applied the mental accounting theory (Thaler, 1999) and technology self-efficacy perspective (Huffman et al., 2013). Managers involved in the implementation of robotics and automation-based technologies were required to address TA of employees. Fear of job loss had to be addressed specially in a country like India. Anxiety regarding the ability to learn to work with robotics and automation technologies also was needed to be addressed by managers through adequate training and time for preparation. The benefits of robotics and automation-based technologies for employees as well as organisations have to be ascertained through open communication between the management and the frontline employees. To the best of the authors’ knowledge, this was one of the first empirical research studies which deliberated regarding TA in the context of frontline workers working with robotics and automation-based technologies in the manufacturing sector. This research study was based upon a combination of varied perspectives ranging from micro foundations theory, TA, mental accounting theory and technology self-efficacy perspective. Citation: Journal of Science and Technology Policy Management PubDate: 2023-03-28 DOI: 10.1108/JSTPM-05-2022-0087 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Xuan Cu Le Abstract: This paper aims to illuminate a mechanism of positive word of mouth (PWOM) toward mobile banking (m-banking) by extending the fairness theory (FAT) with satisfaction (SAT) and value-in-use (VIU). A research model is examined by obtaining data from a web-based survey of 398 respondents who have used m-banking in Vietnam. AMOS 21.0 software is applied to analyze the hypothetical model with covariance-based structural equation modeling. The results reveal that price fairness (PRI) is of primary importance of fairness perception (FAI) in m-banking, followed by informative fairness, procedural fairness, interactional fairness and distributive fairness. Furthermore, SAT and VIU play a vital role in developing PWOM. In addition, FAI exerts a positive influence on SAT and VIU. This study would help practitioners have the deep insights into affective and behavioral responses among customers and develop effective marketing trajectories to spur SAT, VIU and PWOM toward m-banking. The results hint that marketers may be tempted to simultaneously focus on the important dimensions of FAIs as they are indispensable to derive SAT and VIU from a customer perspective. This research assists governments and banks to adopt training programs and policies that will incite customer behaviors toward m-banking. The value of the work lies in the combination between FAT with SAT to enlighten FAI and PWOM toward m-banking in a developing country. To the best of the authors’ knowledge, this work is among the first to consider VIU that motivates PWOM. Moreover, this study links PRI to FAI to understand PWOM among Vietnamese customers. Citation: Journal of Science and Technology Policy Management PubDate: 2023-03-24 DOI: 10.1108/JSTPM-07-2022-0105 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Mohd Naz’ri Mahrin, Anusuyah Subbarao, Suriayati Chuprat, Nur Azaliah Abu Bakar Abstract: Cloud computing promises dependable services offered through next-generation data centres based on virtualization technologies for computation, network and storage. Big Data Applications have been made viable by cloud computing technologies due to the tremendous expansion of data. Disaster management is one of the areas where big data applications are rapidly being deployed. This study looks at how big data is being used in conjunction with cloud computing to increase disaster risk reduction (DRR). This paper aims to explore and review the existing framework for big data used in disaster management and to provide an insightful view of how cloud-based big data platform toward DRR is applied. A systematic mapping study is conducted to answer four research questions with papers related to Big Data Analytics, cloud computing and disaster management ranging from the year 2013 to 2019. A total of 26 papers were finalised after going through five steps of systematic mapping. Findings are based on each research question. A specific study on big data platforms on the application of disaster management, in general is still limited. The lack of study in this field is opened for further research sources. In terms of technology, research in DRR leverage on existing big data platform is still lacking. In terms of data, many disaster data are available, but scientists still struggle to learn and listen to the data and take more proactive disaster preparedness. This study shows that a very famous platform selected by researchers is central processing unit based processing, namely, Apache Hadoop. Apache Spark which uses memory processing requires a big capacity of memory, therefore this is less preferred in the world of research. Citation: Journal of Science and Technology Policy Management PubDate: 2023-03-23 DOI: 10.1108/JSTPM-03-2022-0049 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Romaine Ferdinands, S.M. Ferdous Azam, Ali Khatibi Abstract: This study aims to contribute to the understanding of the innovation environment of a developing nation through the Triple Helix model, revealing the existing inter-relationships between the three Helixes of Academia–Industry–Government. It sets out to find out the relationship and impact of the three Helixes on the most crucial stage of the innovation process: the commercialisation of patents, and to ascertain if there is a varying impact determined by patent ownership. This cross-sectional study uses the survey method based on the views expressed by 220 Sri Lankan registered patent holders and categorised by organisational and individual ownership. The sample is drawn from the database of the National Intellectual Property Office of Sri Lanka and patents registered through the Patent Cooperation Treaty, extracted from the World Intellectual Property Organisation Patent Scope database. The survey was carried out in 2019 and limited to patents registered during the period 2010–2014. The empirical findings indicate weak inter-relationship between Academia support, Industry support and patent commercial success, while the support of the Government Helix is non-significant in the commercial stage. The findings also indicate two different support standards existing in each Helix for the two ownership groups. The study is limited to a five-year window in a relatively early period in the country’s innovation policy development. The study model is also limited by the non-inclusion of mediators such as government-backed affiliated agencies and academia technical transfer offices which if incorporated would improve the study model and be more reflective of the actual environment and their role as change agents bridging the transition to a hybrid Triple Helix. The study findings capture the inter-relationships of the Triple Helix existing in a developing country at the most crucial stage of the innovation process. It helps policymakers identify the gaps in each Helix that stands wanting and take measures to rectify them by creating a more favourable National Innovation System. An innovative environment that will facilitate patent holders achieve higher technological transfers and commercial success rates. The findings disclosure of two different support standards existing in each Helix for the two patent ownership groups poses a challenge for policymakers and challenges the core objective of increasing the commercial success of patents granted. The findings strengthen the need for a more robust support system to be put in place that would empower and facilitate the individual patent owner to increase the share of economic value arising from this underutilised patent group. This study contributes by furthering the Triple Helix model in a social context and micro-setting by operationalising the theoretical practices. The study also gives insight into each Helix’s interaction and contribution during the most crucial stage of innovation management in a developing economy and its impact on the two categories of patent ownership which is scarce. Citation: Journal of Science and Technology Policy Management PubDate: 2023-03-15 DOI: 10.1108/JSTPM-06-2022-0095 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Adhi Indra Hermanu, Diana Sari, Mery Citra Sondari, Muhammad Dimyati Abstract: This paper aims to identify and classify the parameters that construct the input, processes, output, productivity and outcome variables that affect performance. These parameters are used in the evaluation model to measure research performance in universities so that they can be used as the basis for making leadership policies both at the national and institutional levels. The design of this research is a quantitative research method using a survey questionnaire that was sent to the heads of research institutions at universities in Indonesia. To obtain these parameters, a test for determining the value of the loading factor was used. The authors found that input variable parameters consisted of 10 parameters; process variable consisted of 22 parameters; output variable parameters consisted of 8 parameters; productivity variable consisted of 4 parameters; and outcome variable parameters consisted of 10 parameters. One approach to obtain parameters is through systems theory, where every element that makes up the organization contributes to the achievement of goals. This study attempted to develop parameters in the performance appraisal model of systems theory-based research institutions that are adapted to trends in the direction of research in universities. These parameters are based on aspects of input, process, output, productivity and outcome. Citation: Journal of Science and Technology Policy Management PubDate: 2023-03-07 DOI: 10.1108/JSTPM-05-2022-0089 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Muhammad Shabir Shaharudin, Yudi Fernando Abstract: Cold supply chain technology is critical for extending the shelf life of perishable leafy green vegetables. This study aims to investigate the concept of managing leafy green products using cold supply chain technology and visualise the findings. Using expert interviews and data visualisation approaches, this study examines how organisations deal with the complexity of cold supply chain processes and networks. Thematic data analysis was conducted. Two types of software were used to accomplish the research objectives. The first software used AntConc version 3.5.8 with word frequency (N-gram) analysis, whereas the second software, VOSViewer offered co-occurrence network visualisation and cluster analysis. The findings show that the appropriate design of cold chain technology is critical in ensuring the freshness and quality of leafy green vegetables. The primary goal of managing the complexity of the cold supply chain is to achieve product freshness and energy efficiency. Regardless of the importance of energy efficiency, cold supply chains require warehouse management solutions for transportation and storage. This study found that proper design and selection of appropriate technology in the cold supply chain have driven the companies to improve the firms’ competitive advantage while delivering the best quality of perishable leafy green food products. In addition, the freshness, quality, safety, and health of leafy green vegetables will be determined by the company’s capacity to handle long-distance transportation and select the appropriate distribution channels and storage. Warehouse management system technology was found to be secondary compared to cold chain technology, although distribution and warehousing practices are critical for supply chain performance. This study has established the conceptual indicators based on best practices and outcomes for the cold supply chain. This study argued that cold supply chain management and performance should be monitored independently. Furthermore, the theory of technological adoption can be expanded to include product nature as a driver. Finally, this study has established cold chain best practices based on a perishable supply chain perspective. The findings of this study can promote healthy foods to solve zero hunger and achieve sustainable development goals. Although this study demonstrates that technology improves supply chain practises, cold storage and logistics benefit the most from technological advancements. In contrast, non-cold supply chains benefit from technology-driven improvements in performance. Citation: Journal of Science and Technology Policy Management PubDate: 2023-02-28 DOI: 10.1108/JSTPM-02-2022-0036 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Yvonne Lee, WeiLee Lim, Ho Sai Eng Abstract: This paper aims to analyse the unified theory of acceptance and use of technology (UTAUT) and UTAUT2 constructs used in research on information and communication technology (ICT) adoption and use among micro, small and medium enterprises (MSMEs) in non-organisation for economic co-operation and development (OECD) countries. It also investigates the areas of ICT adoption along the value chain in studies using these constructs. Systematic literature review (SLR) was conducted, where 910 studies were retrieved manually in five academic databases. Forty-eight studies were finalised after four filtration levels. Majority of the studies were published within the past six years, and 85.42% were studies in the form of journal papers. UTAUT constructs more researched compared to UTAUT2 constructs. More than half of the studies investigated ICT application in value chain boundaries, while 16 studies were organisation-wide studies. With developments in MSMEs’ technology, the UTAUT2 model must be expanded to internal company operations including finance and infrastructure maintenance. To boost competitiveness and productivity, non-OECD authorities should focus on the cost and user-centric characteristics of MSMEs’ technology adoption. Although SLRs on UTAUT and UTAUT2 constructs have been attempted previously, this study contributes to the body of knowledge by focusing analysis on the application of those constructs on MSMEs in non-OECD countries and also by situating ICT adoption along the value chain of enterprises. Citation: Journal of Science and Technology Policy Management PubDate: 2023-02-28 DOI: 10.1108/JSTPM-08-2022-0140 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Sohana Wadud Ahmad, Winai Wongsurawat Abstract: This study aims to investigate whether the introduction of innovative financial products increases welfare for low-income households working in the manufacturing sector. Specifically, the authors measure the impact of mobile financial services (MFSs) on economic opportunities and wellbeing of garment factory workers in Bangladesh. The study is based on Amartya Sen’s Capabilities Approach. Close to 400 textile factory workers were interviewed about their experience using Bangladesh’s most popular MFS, and how their household welfare has changed over time. Results were tabulated and analyzed with simple statistical tools. While there remains an abundance of friction in the system, financial innovation still assisted low-income households in savings, and expedited and secured their fund transfers. The introduction of the new technology, especially when it is made mandatory, seems to have disempowered married women by reducing their financial independence from their husbands. This study should help policy makers and international bodies in their efforts to design and support the inclusive growth of mobile financial technology. Citation: Journal of Science and Technology Policy Management PubDate: 2023-02-27 DOI: 10.1108/JSTPM-03-2022-0046 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Finik Mutia Afriana, Khoirunurrofik Khoirunurrofik Abstract: The outcomes of public research institutions (PRIs), also known as research and development (R&D) institutions, in developing countries, including Indonesia, are still dubious. This study aims to measure the efficiency of R&D institutions using the case of the Indonesian Institute of Sciences, with and without an assessment of the role of scientific publication. A panel data envelopment analysis (DEA) model is used to estimate the research efficiency of Indonesian R&D institutions during the period 2016–2019 based on the relationship between intellectual property (IP), research budgets and number of active researchers. The Tobit model is subsequently applied to analyze the factors that affect efficiency. The DEA analysis shows an average efficiency value of 0.361, implying that 42% of the decision-making units (DMUs) have above-average efficiency scores. When scientific publication is added as an output variable, the efficiency increases to an average of 0.545, resulting in 53% of the DMUs with above-average efficiency. The main implication is that scientific publications can increase the output of R&D institutions in Indonesia. This study recommends strengthening the research group establishment led by research professors along with setting acceptable high output targets. Researcher competence must be improved together with support for research collaboration among the different fields of science. Scientific publications should be considered part of IP measurement along with the type of mandate of each PRI. This study offers a method of evaluation of research efficiency that can be applied to institutions outside Indonesia, thus furthering the dialogue on science and technology policy management. This paper contributes to the literature by using a new and comprehensive method to measure research output – that of IP measurement, including new scientific publication. The implications provide action points for the governments to support R&D institutions and for research practitioners to augment research output. Citation: Journal of Science and Technology Policy Management PubDate: 2023-02-27 DOI: 10.1108/JSTPM-04-2022-0076 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Le Thanh Tung, Le Nguyen Hoang Abstract: Emerging economies have been highlighted as an important growth source of the global economy. However, this group of countries has not received enough academic attention yet. Therefore, this study aims to identify the impact of research and development (R&D) expenditure on economic growth in emerging economies. The theoretical framework of the production function is applied to quantitatively analyse the impact of R&D expenditure on economic growth with a sample of 29 emerging economies in the period between 1996 and 2019. The panel cointegration test confirms the existence of long-run cointegration relationships between economic growth and independent variables in these emerging economies. Besides, the estimated results show that the national R&D expenditure has positive effects on economic growth from both direct and interaction dimensions. This evidence has filled the empirical research gap in the R&D-growth nexus in the case of emerging economies. Finally, while gross capital and education have positive impacts on growth, corruption has a harmful effect on economic growth in these countries. The results highlight that policymakers should enhance R&D expenditure and R&D activities as the key national development strategy. The investment in R&D not only helps emerging economies avoid the middle-income trap but also pushes these countries to successfully join the group of developed countries. To the best of the authors’ knowledge, this research is among the first to examine the impact of R&D expenditure on economic growth with a homogeneous sample of emerging economies. The results are obviously helpful for policymakers to use R&D as the key development strategy for supporting economic growth in emerging economies in the future. Citation: Journal of Science and Technology Policy Management PubDate: 2023-02-09 DOI: 10.1108/JSTPM-08-2022-0129 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Authors:Nofie Iman Abstract: This study aims to explore the ways and contexts in which fintech firms are being developed, operated in the market and responds to competitive pressures and technological changes through isomorphism and decoupling mechanism. How can new technology platform business successfully distinguish themselves from competitors while also ensuring that they are seen as legitimate and appropriate' This paper draws on a case study of fintech start-ups in Indonesia. This study shows that managing market pressures for distinctiveness (customer-appealing) versus business pressures for profits (investor returns) drives firms’ quest for optimal distinctiveness. It is evident that fintech firms increase their control by consolidating themselves through their industrial association and by forming a close relationship with regulators. However, to escape the iron cage of the field, they increasingly control the coupling of profitability and compliance. Through a qualitative-inductive approach, this study provides insights into technological development of platform business in the context of financial services and responsive movement towards cashless society. Citation: Journal of Science and Technology Policy Management PubDate: 2023-02-09 DOI: 10.1108/JSTPM-12-2021-0190 Issue No:Vol. ahead-of-print, No. ahead-of-print (2023)
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Hybrid journal (It can contain Open Access articles)
