Journal of Science and Technology Policy Management最新文献

{"title":"A machine learning approach on analysing the sentiments in the adoption of telemedicine application during COVID-19","authors":"D. M., S. S","doi":"10.1108/jstpm-01-2022-0017","DOIUrl":"https://doi.org/10.1108/jstpm-01-2022-0017","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to understand the customer sentiment towards telemedicine apps and also to apply machine learning algorithms to analyse the sentiments in the adoption during the COVID-19 pandemic.\u0000\u0000\u0000Design/methodology/approach\u0000Text mining that uses natural language processing to extract insights from unstructured text is used to find out the customer sentiment towards the telemedicine apps during the COVID-19 pandemic. Machine learning algorithms like support vector machine (SVM) and Naïve Bayes classifier are used for classification, and their sensitivity and specificity are found using a confusion matrix.\u0000\u0000\u0000Findings\u0000The paper explores the customer sentiment towards telemedicine apps and their adoption during the COVID-19 pandemic. Text mining that uses natural language processing to extract insights from unstructured text is used to find out the customer sentiment towards the telemedicine apps during the COVID-19 pandemic. Machine learning algorithms like SVM and Naïve Bayes classifier are used for classification, and their sensitivity and specificity are found using a confusion matrix. The customers who used telemedicine apps have positive sentiment as well as negative sentiment towards the telemedicine apps. Some of the customers have concerns about the medicines delivered, their delivery time, the quality of service and other technical difficulties. Even a small percentage of doctors feel uncomfortable in online consultation through the application.\u0000\u0000\u0000Originality/value\u0000The primary value of this paper lies in providing an overview of the customers’ approach towards the telemedicine apps, especially during the COVID-19 pandemic.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48289144","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}

{"title":"Editorial: Competitiveness in the digital economy: some lessons to learn","authors":"P. Ordóñez de Pablos","doi":"10.1108/jstpm-11-2022-189","DOIUrl":"https://doi.org/10.1108/jstpm-11-2022-189","url":null,"abstract":"The sample in this study consisted of 358 respondents. This study found that social in fl uence, facilitating conditions, PS, performance expectancy and Tr have a signi fi cant and direct in fl uence on BIU mobile payment. PR was not found to have a signi fi cant and direct relationship with BIU, but it was indirectly affecting the latter through Tr as the mediating variable ”","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44341515","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}

{"title":"Assessment of awareness on IPR activities among Indian academics – a cross-sectional study","authors":"Ramya R. Ravi, M. Janodia","doi":"10.1108/jstpm-01-2022-0003","DOIUrl":"https://doi.org/10.1108/jstpm-01-2022-0003","url":null,"abstract":"\u0000Purpose\u0000Protection of intellectual property (IP) is important to leverage its commercial potential. This study aims to examine and comprehend the level of understanding of intellectual property rights (IPR) among Indian academics. The study covers three main aspects – awareness level of IP among Indian academics, comprehending if the current state of knowledge about IP is useful for commercialization and whether the current knowledge of IP activities among Indian academics is sufficient to support their professional career and generate revenues from their inventions.\u0000\u0000\u0000Design/methodology/approach\u0000A structured methodology was contemplated and applied. A cross-sectional study with a convenience sampling method was adopted. The duration of the study was six months from March to August 2021. A total of 500 Indian academics were approached, of which 116 responded with a response rate of 23.4%. A structured questionnaire was administered to the participants to understand their level of knowledge about IP. Furthermore, the data analysis was performed based on descriptive analysis.\u0000\u0000\u0000Findings\u0000The study findings revealed that the awareness among the participants about IP was minimal. The underlying reasons could be academics did not focus on generating IP through novel research, awareness of basic knowledge about IP was considerably low and inadequate to support their professional career, primary focus was on which publications are considered as one of the important criteria for performance management, national policies do not encourage collaborative research between university and industry that may lead to potential IP generation and the Indian academic set-up expects multitasking by its faculty members.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this paper is an original contribution, based on the study carried out by the authors to understand the awareness of IP activities among Indian academics.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44772246","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}

{"title":"Adoption of artificial intelligence in financial services: a policy framework","authors":"B. Kumari, Jaspreet Kaur, S. Swami","doi":"10.1108/jstpm-03-2022-0062","DOIUrl":"https://doi.org/10.1108/jstpm-03-2022-0062","url":null,"abstract":"\u0000Purpose\u0000A crucial contemporary policy question for financial service organizations of being resilient across the globe calls for rethinking and renovating by adopting and adapting to the technologies of artificial intelligence (AI). The purpose of this study is to propose a policy framework for adoption of AI in the finance sector by exploring the driving factors through systems approach.\u0000\u0000\u0000Design/methodology/approach\u0000Based on literature review and discussions with experts from both industry and academia, nine enablers were shortlisted, which were used in the questionnaire survey to determine ranks of enablers. Further, the study developed the interpretive structural model (ISM) with the help of experts.\u0000\u0000\u0000Findings\u0000The ISM digraph developed with the help of the experts, resulted in the enablers like anticipated profitability, contactless solutions, credit risk management and software vendor support as dependent factors and stood at the top of the ISM. On the other hand, factors like availability of the data, technical infrastructure and funds are the most driving factors, which lie on the bottom of the ISM.\u0000\u0000\u0000Research limitations/implications\u0000The study provides implications and policy recommendations for the practicing managers and government agencies approaching the digital transformation towards the adoption of AI in the finance ecosystem.\u0000\u0000\u0000Originality/value\u0000The paper uses the systems approach for the development of the ISM of the enabling factors for the adoption of AI technology. On the basis of the results, the study proposes a policy framework to accelerate the functioning of the finance ecosystem with AI technology.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41581926","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}

{"title":"Impact of innovation network on regional innovation performance: do network density, network openness and network strength have any influence?","authors":"Shuliang Zhao, Jinshuang Li","doi":"10.1108/jstpm-05-2022-0084","DOIUrl":"https://doi.org/10.1108/jstpm-05-2022-0084","url":null,"abstract":"\u0000Purpose\u0000With the development of regional economy, innovation network plays an increasingly prominent role in reducing regional innovation cost and enabling information, knowledge and capital flow and diffusion. Building an efficient innovation network has become a feasible way to improve regional innovation capabilities and performance. Thus, under the background of Chinese special triple helix structure, the specific mechanism of innovation network characteristics on regional innovation performance is still an issue that needs to be studied urgently.\u0000\u0000\u0000Design/methodology/approach\u0000This study conducts a multi-level regression analysis regional innovation panel data of China from the past four years to explore how the three dimensions of innovation network characteristics (i.e. network density, openness and strength) affect regional innovation performance.\u0000\u0000\u0000Findings\u0000The results show that there is an inverted-U relationship exists between network density and regional innovation performance. The network openness and regional innovation performance show a significantly positive relationship and a U-shaped relationship exists between network strength and regional innovation performance.\u0000\u0000\u0000Research limitations/implications\u0000First, this study examines the relationship between network density, openness, strength and innovation ability in the network variable structure. However, this study does not analyze how absorptive capacity impacts the network structure and innovation performance of regional innovators. Second, innovation network intensity largely varies according to different types of enterprises or industries. Therefore, future studies can attempt to analyze the relationship between innovation network and innovation performance on the basis of the industry or the enterprise itself. Fourth, this study does not consider the change in the influence of innovation network structure on innovation ability.\u0000\u0000\u0000Practical implications\u0000The results of this study provide insights for the formulation of the regional innovation policy. First, enterprises must maintain good contact with research institutes, universities and technology intermediaries and promote resource, information and money flow between networks through formal and informal interactions. Enterprises can currently only interact with a limited number of innovative subjects due to their limited resources. Therefore, we should continue implementing the open policy of foreign capital utilization and absorb the technology, knowledge, management, ideas, talent and other resource advantages in the world. The investment environment in the central and western regions should be improved as soon as possible to guide foreign direct investments to the middle and the west part of China, thereby promoting the coordinated development of regional innovation ability and economy.\u0000\u0000\u0000Social implications\u0000In 2015, the Chinese Government proposed “public entrepreneurship and innovation,” including technological, institut","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62178566","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}

{"title":"Modelling the intention and adoption of cashless payment methods among the young adults in Malaysia","authors":"Uma Thevi Munikrishnan, A. Mamun, Nicole Kok Sue Xin, Ham Siu Chian, Farzana Naznen","doi":"10.1108/jstpm-04-2022-0077","DOIUrl":"https://doi.org/10.1108/jstpm-04-2022-0077","url":null,"abstract":"\u0000Purpose\u0000Cashless payment is gradually replacing physical currency in almost every financial transaction across the world. Even though cashless payment methods have been available in Malaysia since a decade ago, their usage has remained relatively low in comparison to other countries. This study aims to analyse the elements that affect the Malaysian youth’s adoption intention and actual use of cashless payment by extending the unified theory of acceptance and use of technology (UTAUT) model with two key factors (perceived security [PS] and lifestyle compatibility [LC]).\u0000\u0000\u0000Design/methodology/approach\u0000Data were gathered online from 364 Malaysian youths and processed using partial least squares structural equation modelling.\u0000\u0000\u0000Findings\u0000The findings revealed that performance expectancy (PE), LC and PS had a positive and substantial effect on the intention to use cashless payment (ICP). In contrast, effort expectancy (EE) and social influence did not have any considerable influence on ICP. Furthermore, ICP had substantial mediating effects between the adoption of cashless payment (ACP) and PE, LC and PS. In the analysis of the moderating effect of age, gender, experience and voluntariness, only experience had moderating effects on the associations between PE and ICP and between FC and ACP.\u0000\u0000\u0000Research limitations/implications\u0000This study’s findings will be highly useful for marketers and the management as they plan their promotional and marketing tactics, with a focus on the factors that inspire customers to adopt cashless payments. Besides, architects and designers can benefit from the study results while designing and updating their services by consolidating consumers’ lifestyle standards as well as enhancing security features. Finally, governments may support service providers with security building through legislative measures and policy campaigns to strengthen the trustworthiness and mass adoption of contactless payment.\u0000\u0000\u0000Originality/value\u0000This study extended the UTAUT model with two new variables, i.e. PS and LC.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42587106","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}

{"title":"Toward a model for assessing smart hospital readiness within the Industry 4.0 paradigm","authors":"M. Ronaghi","doi":"10.1108/jstpm-09-2021-0130","DOIUrl":"https://doi.org/10.1108/jstpm-09-2021-0130","url":null,"abstract":"\u0000Purpose\u0000The fourth industrial revolution and digital transformation have caused paradigm changes in the procedures of goods production and services through disruptive technologies, and they have formed new methods for business models. Health and medicine fields have been under the effect of these technology advancements. The concept of smart hospital is formed according to these technological transformations. The aim of this research, other than explanation of smart hospital components, is to present a model for evaluating a hospital readiness for becoming a smart hospital.\u0000\u0000\u0000Design/methodology/approach\u0000This research is an applied one, and has been carried out in three phases and according to design science research. Based on the previous studies, in the first phase, the components and technologies effecting a smart hospital are recognized. In the second phase, the extracted components are prioritized using type-2 fuzzy analytic hierarchical process based on the opinion of experts; later, the readiness model is designed. In the third phase, the presented model would be tested in a hospital.\u0000\u0000\u0000Findings\u0000The research results showed that the technologies of internet of things, robotics, artificial intelligence, radio-frequency identification as well as augmented and virtual reality had the most prominence in a smart hospital.\u0000\u0000\u0000Originality/value\u0000The innovation and originality of the forthcoming research is to explain the concept of smart hospital, to rank its components and to provide a model for evaluating the readiness of smart hospital. Contribution of this research in terms of theory explains the concept of smart hospital and in terms of application presents a model for assessing the readiness of smart hospitals.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43114462","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}

{"title":"Social media marketing activities on brand equity and purchase intention among Chinese smartphone consumers during COVID-19","authors":"Jiang Shuyi, A. Mamun, Farzana Naznen","doi":"10.1108/jstpm-02-2022-0038","DOIUrl":"https://doi.org/10.1108/jstpm-02-2022-0038","url":null,"abstract":"\u0000Purpose\u0000The world has been forced to implement movement restriction strategy because of the COVID-19 pandemic, and industries have to embrace online technologies and social media marketing activities (SMMAs) to continue their business operations. Considering the aftermath of COVID-19 on the business world, this study aims to explore the determining elements of SMMAs and analyse how these factors affect brand equity (BE), relationship equity (RE) and purchase intention (PI) among smartphone consumers in China. Five constructs of SMMAs, namely, entertainment (EN), interactivity (IN), trendiness (TR), customisation (CU) and electronic word-of-mouth (WM), were examined to examine the effects of SMMAs on BE and RE. Subsequently, the mediation effects of BE and RE on the relationships of all constructs of SMMAs with PI were analysed.\u0000\u0000\u0000Design/methodology/approach\u0000An online survey was conducted with the participation of 347 Chinese consumers who used social media platform managed by the smartphone brands as their marketing activities during COVID-19. The data were analysed via structural equation modelling using SmartPLS.\u0000\u0000\u0000Findings\u0000This study’s result showed the significant and positive influence of CU, TR and WM on BE and the strong and positive influence of CU, IN and TR on RE. Furthermore, BE was found to fully mediate the relationships of CU, TR and WM with PI, while RE was found to mediate the relationships of TR and CU with PI. The performance and impact factor analysis revealed RE as the most important factor for PI, followed by BE, CU and TR.\u0000\u0000\u0000Originality/value\u0000This study extended the authors’ knowledge and understanding about social media marketing, BE and smart phone PI during COVID-19. Findings of this study can assist smartphone brands in China to develop the most effective strategies for SMMAs, which can be tailored for consumers to maximise profits, even during any crisis when physical business activities are deemed difficult. Moreover, this study’s findings can benefit the government and policymakers in developing and regulating rules and regulations for e-commerce and social media commerce for all industries and areas.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49200452","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}

{"title":"Social effects of joint R&D: the role of learning and accumulation of capacities","authors":"Vladimiro Verre, Darío Milesi, Natalia Petelski","doi":"10.1108/jstpm-01-2022-0010","DOIUrl":"https://doi.org/10.1108/jstpm-01-2022-0010","url":null,"abstract":"\u0000Purpose\u0000Joint research is pointed out by the literature as a potentially virtuous cooperation scheme to generate learning in the public sphere and beneficial effects in society. The purpose of this study, based on the Argentine experience in the COVID-19 pandemic, is to analyze the network of capacities, relationships and effects generated, over time, by a series of projects financed by the State in 2010, to clarify the link between learning effects and social effects.\u0000\u0000\u0000Design/methodology/approach\u0000A qualitative methodology focused on the multiple case study method was used. Each case covers joint R&D projects financed 10 years ago by the state that subsequently led to different solutions for COVID-19.\u0000\u0000\u0000Findings\u0000The work identifies a public learning process that integrates both industry’s contributions and the intellectual dimension of economic benefits and their translation into specific capabilities; conceptualizes the capacities accumulation process as a multiplier of social effects (direct and indirect) that emerge as knowledge is reused; identifies the articulation between different schemes as a condition for learning effects and social effects to manifest over time.\u0000\u0000\u0000Originality/value\u0000An aspect not studied in the literature is addressed, the relationship between the learning process induced by joint research, in terms of capabilities, and the social effects specifically generated over time. This is taking place in a context, such as the COVID-19 pandemic, where calls from the scientific and academic community to promote science–industry cooperation are multiplying.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44778414","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}

{"title":"Customer acceptance of online delivery platform during the COVID-19 pandemic: the case of Brunei Darussalam","authors":"M. Almunawar, M F Anshari","doi":"10.1108/jstpm-04-2022-0073","DOIUrl":"https://doi.org/10.1108/jstpm-04-2022-0073","url":null,"abstract":"\u0000Purpose\u0000As a result of the COVID-19 pandemic, numerous businesses have migrated to an online delivery platform (ODP) to survive and reconnect with their customers. This study aims to focus on how the public perceives ODP. It examined the acceptance of digital platforms for delivering daily necessities, especially food, in Brunei Darussalam during the COVID-19 pandemic.\u0000\u0000\u0000Design/methodology/approach\u0000The online survey collected 350 valid samples, and the online questions were distributed using a snowball sampling method, with the questionnaire’s softcopy prepared in Qualtrics and sent via email and social media as hyperlinks. In 2021, we sent out the questionnaire link via email, WhatsApp and Facebook to people and organizations for about six months.\u0000\u0000\u0000Findings\u0000According to the findings of the study, product quality is a critical factor that consumers consider while making online purchases of different products. The COVID-19 condition positively affects customer acceptance, performance, effort and product quality. This research indicates that service quality, online habits and trust do not influence customer acceptance of an ODP.\u0000\u0000\u0000Research limitations/implications\u0000The study contributes to the body of knowledge regarding factors influencing the acceptance of ODPs. The factors that influence people’s acceptance of ODPs, especially during the COVID-19 pandemic, are assessed as to whether the COVID-19 pandemic influences people’s acceptance and the identified factor that has the strongest influence on the acceptance of digital delivery platforms.\u0000\u0000\u0000Practical implications\u0000The study contributes to the growing body of knowledge about how customer behaviors triggered by the COVID-19 condition influence customer acceptance of ODP and how behavior influences customer acceptance of ODP.\u0000\u0000\u0000Originality/value\u0000This paper is useful to academics, practitioners and policymakers in public administration and policy management. The research provides some insights into massive adoption of ODPs that affects the disruption of conventional business practices.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45700441","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}