Technology Adoption Model Research Articles

What Drives the Adoption of the Blockchain Technology? A Fit-Viability Perspective

ABSTRACT Blockchain technology has the promise of transforming security and trust in digital transactions. However, concerns about technical complexity and the benefits of deployment have blunted its adoption. We examine factors that influence managerial intention to adopt blockchain technology. We extend the fit-viability model (FVM) and develop a value-based technology adoption model through an empirical study of 242 managers mostly in medical and financial industries. Managers in such organizations are likely to consider fit and viability in adopting blockchain technology to store and protect data. Drawing upon Fit-Viability and Task-Technology Fit models, and the Unified Theory of Acceptance and Use of Technology (UTAUT), we test a model with Partial Least Squares (PLS) to assess managers’ intention to adopt blockchain technology. Our findings indicate that functional and symbolic benefits have positive impact on managers’ assessment of task-technology fit. Furthermore, viability is an important criterion in adopting blockchain technology.

An Empirical Investigation of Leadership and Human Resources Capacities as Key Actors in the Implementation of Smart Education

Due to the novelty of the smart education phenomenon, a quantitative investigation of the variables that will influence the implementation of ‘smart education’ was needed. Therefore, based on a probability simple random survey of 349 Grenadian employees from tertiary institutions in the education industry, the influence of leadership and human resource capacities on smart education were investigated. Results produced from SPSS analysis software and Smart PLS revealed that leadership and human resources capacities have sufficient confidence to have a significant influence on smart education, producing a positive association with ‘smart education.’ However, this relationship is positively moderated by additional investments, such as infrastructural innovation. These findings enrich the current literature on smart education (SE) by increasing knowledge of the phenomenon through the lenses of the Actor-Network Theory and Technology Adoption Model. Accordingly, policymakers should bear these findings in mind when developing holistic strategies to guide SE’s successful enactment.

WITHDRAWN: A novel human-centered artificial intelligence based e-learning approach

Organizations must keep up with new technologies such as artificial intelligence to take advantage of opportunities (AI). When the usage experience (UX) is not missing, modern software with AI features is successful. UX programmers need to know more about relevant AI techniques and take advantage of their affordability to deliver better user-centric AI functions in apps. Many UX designers currently lack such knowledge, and the purpose of this work is to fill this gap by proposing a new e-learning approach that focuses on existing knowledge of human-centric IA by UX designers. In close cooperation with the software company Vism, the proposed e-learning method was developed and evaluated. Build science analysis is the overall analytical approach (DSR; [1] ). On the basis of cutting-edge research and semi-structured interviews with six Visma AI experts the proposed methodology and related e-learning material were created. A technology adoption model (TAM: [10] ) was used for testing the planned e-learning strategy, assessing the behavioural intention of UX designers to take the new path. The findings indicate that e-learning was supposed to be used in the near future to learn AI techniques. Together the e-learning approach has been tested and the design has been improved and after the first test feedback has been given more graphic elements. After the last evaluation, the purpose of the behavioural approach to e-learning improved from the first assessment. This study leads to the transformation of companies to more professional AI workers through a new e-learning approach. Future research should concentrate on improving other functions in AI learning.

Decision-making model for Auto-ID technology adoption in the banking industry

The justification of investment technology Auto-ID (automatic identification) in banks aims to assist practitioners in solving banking problems. A study is needed to find out the importance of investing in Auto-ID technology in a company. This technology will be made in an integrated system that can be used to monitor important documents and assets in the bank with two alternatives that are suitable for this case namely barcode and RFID. In the process of technology adoption, there are various forms of approaches ranging from strategic, economic, analytical and comprehensive where in the case of IT justification is more suitable to use analytic and comprehensive namely DEMATEL and ANP because it needs to capture intangible factors. In the DEMATEL calculation, the operator criteria group with the highest weight is eternity, followed by IT and economic optimization. In addition, it was also found that the most influential recipient groups were satisfaction, cost savings, and expansion. Then in the ANP method, the calculation results are obtained that the global weighting of the criteria with the highest value is an opportunity, followed by benefits, costs, and risks. So that the alternative decision obtained is RFID is the technology chosen for adoption in the banking industry.

Electronic Participation Technology Adoption Model in Indonesia: The Role of Gamification Impact

This study aims to propose a conceptual model in the context of e-participation technology adoption. This research develops the UTAUT base-line model with several constructs, namely Insecurity and Gamification. The impact of gamification to increase user participation is not widely known, especially regarding the acceptance of e-participation. The method used is a literature study related to several best practice models such as UTAU, TRI and gamification constructs. The results showed a total of 7 constructs and 6 hypotheses proposed in this study. All these constructs are performance performance expectancy, effort expectancy, social influence, facilitating conditions, insecurity, gamification impact and behavioral intention to use. The implication of this research is that the lack of public participation in digital platforms can be increased through redesign of e-participation by applying the gamification approach.

English

In developing countries such as Nigeria, agriculture is the main source of livelihood with over 70% of the population engaged in farming. They are mostly smallholders and subsistence farmers with minimal use of technology and low productivity. The use of mobile applications in agriculture can potentially help smallholders access agricultural information and financial services, improve access to markets and enhance visibility for supply chain efficiency. Unfortunately, due to a lack of uptake of these applications many farmers have not realized the benefits of this technology. This study seeks to explore and examine the factors that affect the uptake of this technology. A conceptual model which builds on the extended Technology Adoption Model (TAM2) was empirically estimated using Structural Equation Modelling (SEM) to examine the factors that influence the adoption of mobile applications. Primary data were collected from a sample of 261 farmers. Data were analyzed using SEM with the help of IBM SPSS and IBM AMOS software. The structural model showed that seven of the hypothesized relationships in the research model were supported. Social influence (SI), Perceived usefulness (PU), Information/awareness (IA) and Intention to use (ITU) affected the Actual Use (AU) of mobile applications positively, while Perceived risk (PR) and Perceived cost had a negative impact on their adoption. This study contributes to the literature on farmers’ technology adoption. It provides evidence that the extended TAM is a suitable model to explain the factors that influence mobile application adoption behavior.  Key words: Mobile applications, smartphone, Information Communication Technologies (ICT) adoption, structural equation modelling, extended technology adoption model. 

E-Banking Adoption: An Opportunity for Customer Value Co-creation.

The development of information and communication technologies offers innovative opportunities to establish business strategies focused on customer value co-creation. This situation is especially notable in the banking industry. e-Banking activities can support competitive advantages. However, the adoption of e-banking is not yet well-established among consumers. In this sense, the technology acceptance model (TAM) is considered essential in studying consumer behavior applied to adopt a particular technology. According to the TAM model, this study analyses the factors which influence bank customers to adopt e-banking to facilitate their banking services and support the process of value co-creation. Consequently, the authors examine five main aspects of the technology adoption model to provide a broad understanding of bank customers’ consumption of e-banking. A partial least squares structural equation modeling (PLS-SEM) analysis is conducted to evaluate proposed relationships between factors and customers’ e-banking adoption.

Does the reputation of the provider matter? A model explaining the continuance intention of mobile wallet applications

ABSTRACT This study proposes a new model of technology adoption in a mobile wallet application context, which includes the provider’s reputation and profession, trust, perceived value, and security of mobile wallet applications. Based on a survey of 382 users, a structural model was verified. A multi-group analysis was conducted to verify the moderating impact of the provider’s profession. Our results confirm the impact of the provider’s reputation on trust and perceived security; both verified as antecedents of the continuance intention. Besides, the provider’s profession moderates the impact of reputation on trust. The study suggests that mobile wallet application providers focus on reputation in their communication strategy to build and maintain trust. In addition to the moderating role of the providers’ profession, verifying provider’s reputation as a factor enhancing the trust and perceived security of the mobile wallet application constitutes the main originality of this paper.

Relationship between academic consumer lifestyle and the decision to purchase from virtual stores

Nowadays, a good personalised marketing plan is a concern of many firms and firms should identify customer behaviour. Studying customer lifestyle is one of the effective factors in identifying customer behaviour. This research aimed to examine the effects of customers' lifestyle on their purchasing decision. The research model was developed based on the VALS2 lifestyle model and technology adoption model (TAM). Using a questionnaire, the data was gathered from the students who had at least one online purchase experience. About 404 questionnaires were collected and analysed using structural equation modelling (SEM) technique. The results showed that intention to purchase directly affects the purchase from virtual stores. Also, the lifestyle groups have a positive impact on purchase from virtual stores. The results also showed that there is a positive indirect impact of peer influence, attitude toward purchasing and perceived usefulness on the purchase from virtual stores.

Adoption of E-Services and Quality of Life Among Older Consumers in China

E-services projects have been successfully implemented and adopted in many countries worldwide. China, one of the developing countries, has also been transitioning itself into this e-services structure. The success of such an effort depends not only on the support of the government but on citizens' readiness to accept these services, also a central feature. For advanced nations, many studies classify citizens' acceptance features of e-services, but for emerging countries, such research works are less; for China, where citizens' adoption of e-services is actually stumpy as compared to developed countries, there are only few studies available in the Chinese context, and this research is aimed at addressing this gap. In this study about e-service adoption, among the available technology adoption models, a further modification in the original “Unified Theory of Acceptance and Use of Technology” (UTAUT) is suggested and used in order to check its credibility and validity in the Chinese context. This exploration is important in numerous ways and will guarantee the development of China by way of supporting e-services policymakers.

Citizen empowerment and adoption of E-governance services: the role of online citizen skills, awareness, and engagement

This study investigates the inter-relationship between citizen empowerment and adoption of e-governance services (ADES). Online citizen skills (OCS), online citizen awareness (OCA) and online citizen engagement (OCE) are the prerequisites of successful e-governance adoption. Therefore, it also analysed the mediating role of citizen empowerment in relation between OCS and ADES, OCA and ADES, and OCE and ADES. An e-governance adoption model is proposed based on existing literature especially technology adoption model and citizen empowerment theory. Further, it is empirically tested using field data collected from primary surveys using purposive sampling procedure. Structural equation model was used to assess the proposed research model. The results revealed that citizen empowerment determines the adoption of e-governance. By highlighting the relative importance of online skills, awareness and engagement in e-governance adoption, it identifies the pertinent issues that must be addressed before implementing e-governance system in a developing country.

Contributions to the Technological Adoption Model for the Peruvian Agro-Export Sector

This paper proposes a technology adoption model called TAM 4, based on the TAM model considering the trust and perceived risk factors to the adoption of technology in response to governments' concern to achieve competitiveness in the most important economic activities. The methodology used considers the predictive method. The sample was selected from 67 companies related to foreign trade that carry out agro export tasks, with a confidence level of 90% and an error percentage of ± 10% and the 0.787 of Cronbach's Alpha obtained for the instrument's validation. In conclusion, 97% of the companies informally adopt technology. This shows that 68% of the companies surveyed in the sector would be willing to adopt the model.

An evolutionary game model for low-carbon technology adoption by rival manufacturers

An evolutionary game model for low-carbon technology adoption by rival manufacturers

Rural Technology Adoption and Use Model in Rural Africa

Mobile telephony networks have seen a high rate of adoption worldwide in recent years. However, these networks do not exist everywhere, and even where they are, their adoption is lagging. Especially in uncovered rural areas, it is difficult to predict the technology's acceptance and adoption factors. This study deals with the usage gap of mobile telephone networks and attempts in a methodological approach based on structural equation modeling to prevent the telephone usage gap in rural Africa yet to be covered. To that purpose, the authors use a research model based on the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT). By combining these two models and incorporating the moderating effects of demographic variables such as age, gender, education, and experience of technology use, this paper has retained a model with the ability to determine how rural residents will accept and use future networks.

Modeling Technological improvement, Adoption and Employment effects of Electric Vehicles: A Review

In this work, we use Battery Electric Vehicles (BEVs) to elucidate the mechanics of technology cost improvement, adoption and employment impact models as well as key sources of uncertainty in these models. We argue for caution in interpreting the results, especially for large-scale, long-term planning. We also suggest possible models for identifying higher vulnerability communities due to technology transition and building community resilience through a case study of South East Michigan.

Investigating the Intentions to Adopt E-Learning using UTAUT-3 model: A Perspective of COVID-19

The COVID-19 has not only affected the businesses, but educational institutions also suffered from this pandemic. Therefore, like customers, students also directed their attention towards technology adoption or e-learning to avoid physical interaction and learn by maintaining social distancing. The technology adoption model theory and theory of reasoned action-focused a lot on technology adoption by typical customers instead of students, even though they are also the customers. This study emphasized the importance of e-learning by mixing the concepts of UTAUT (the unified theory of acceptance and use of technology) and UTAUT 3 theory. The study aimed to investigate the effect of effort expectancy, performance expectancy, social influence, and facilitating conditions on behavioral intention to use e-learning. Moreover, the relationship was measured between the behavioral intentions to use e-learning and e-learning adoption behavior. These relationships were analyzed by deep literature analysis. Thus this research will be useful for administrators or principals of educational institutes.

Technology adoption model for HRM practices

Technology adoption model for HRM practices

Diffusion of Innovation: Adoption of Learning Management System Technology in Emerging Market Economies

The market for the next-generation learning management system (LMS) for higher education is poised to grow by the US $3.04 billion during 2020-2024 (MarketWatch, 2020), creating technological opportunities in the higher education learning landscape particularly due to growth in remote learning due to COVID-19 pandemic. This rapid growth necessitates an urgent need to integrate technology with the instructional design in academic programs at the Higher Educational Institutes (HEIs) globally. The existing literature on the LMS suggests a considerable resistance among the instructor group towards technology adoption in pedagogic strategy. LMS has been in existence for almost two decades, however, they have not been leveraged to their full potential. An understanding of the nature of technology adoption among instructor group is even more pronounced for the HEIs of emerging market economies (EMEs). An efficient and technology-inspired educational construct will boost the overall competitiveness of the EME's in their respective population skill development and attracting foreign investments for industrial growth. Moreover, given the lessons learned from the epidemiological uncertainties, such as most recently, the COVID-19 pandemic, educators should be prepared to utilize LMS to their full potential. The purpose of this study is to investigate the barriers and motivators in LMS adoption among emerging market economy HEIs and to propose a technology adoption model based on the Unified Theory of Acceptance and Use of Technology (V. Venkatesh et. al., 2012). The results of this study suggest implementing a dynamic feedback mechanism of technology adoption by instructors, and the need for HEIs to articulate strategic plan goals that focus on faculty professional development in the use of technology to build confidence among instructor group to enable the adoption of technology for instruction.

Behavioral routes to loyalty across gender on m-banking usage

Purpose Despite merely comparing constructs on male vs female, this study aims to explore how customer usage behavior to loyalty journey is generated by both service providers and the individual factors. Design/methodology/approach The authors survey 516 m-banking customers and test the hypotheses using partial least squares structural equation modeling. Structural equation modeling analysis was used because of its capability to handle several exogenous and endogenous variables. All variables were adapted from established constructs in information systems literature. Findings The results show different routes of loyalty between male vs female. Males emphasize system and information qualities to shape expectancies as well as facilitating conditions that in turn affect males’ loyalty. While in females, service quality plays a big role in shaping their satisfaction, and in turn affects female customer loyalty. Originality/value The study of gender and technology usage has been growing since decades. With higher technological advancement, people always demand for higher service experience and customer behavior evolves accordingly. Although earlier studies on technology adoption models have received considerable empirical validation, most of the studies did not consider different routes across gender.

Developing a Research Model for Mobile Wallet Adoption and Usage

The scope of the mobile wallet in a ‘Cashless India’, whose utility has been spurred by the exponentially growing smartphone technology, is a contemporary topic of deliberation. The reach of mobile wallets gets broader each day with the entry of new stakeholders into the scenario, making mobile wallets indispensible for meeting daily needs. Given the COVID-19 pandemic situation, increased reliance on mobile wallets, and its acceptability among the public and other associated e-services, researchers and service providers are eager to explore its adoption as well as its continued usage. This paper theoretically examines factors influencing behavioural intention and actual usage of mobile wallets through various technology adoption models and behavioural studies. Based on an extensive review of the literature, this paper attempts to draw a comprehensive conceptualization of mobile wallet adoption and actual use by exploring the influence of various key factors. This proposed model could successfully present the case of mobile wallet adoption and usage, as well as offer the possibility of deriving important managerial implications concerning effective marketing techniques.