Drivers Of Technology Adoption Research Articles

Drivers of technology adoption during the COVID-19 pandemic: The motivational role of psychological needs and emotions for pre-service teachers.

The vital role of motivation becomes even more evident when considering the digital transformation of learning and teaching environments, especially with the effect of the pandemic. Basic psychological needs and emotions, which have not been comprehensively examined together despite their important roles in motivating, draw attention. Accordingly, this study aims to reveal the psychological, emotional, and individual variables that influence the pre-service teachers’ intention to use technology, and to evaluate and validate the predictive power of a proposed model. The technology acceptance model formed the basis of the proposed model, and the model was extended with the self-determination theory (competence, autonomy, relatedness) and a framework of emotions (enjoyment, playfulness, anxiety, frustration). Data were collected online from 591 pre-service teachers studying in 10 different departments of a state university. In data analysis PLS-SEM, PLSpredict and multi-group analysis were performed. The results revealed that the model explains 79.8% of the intention and that the predictive power of the model is high. The relationship between competence and perceived ease of use represents the strongest relationship in the model, and the most influential construct on intention is enjoyment. These findings suggest that both intrinsic and extrinsic motivation play a major role in technology acceptance, especially during the pandemic. In addition, innovativeness, which is related to technology use and motivation, had various moderator effects on the relationships. Findings indicate that the model, which offers a motivational approach based on basic psychological needs and emotions, provides rare information and has high relevance for the field.

How Formal Institutions Interact with the Organizational Drivers of New Platform Technology Adoption

Although there has been a recent surge in research on the drivers of technology adoption, our understanding is still limited to adoption in a single national context. That is, we still lack an understanding of how the effects of micro-level factors on technological adoption depend on differences in national contexts. Attempting to bridge the gap between international business and strategy research, we propose that technology adoption depends on both micro (organizational absorptive capacity and managerial attention) and macro (i.e., formal institutional environment) factors as well as their interplay. The study tests a moderated mediation model on the responses of Ericsson’s clients around the globe (89 telecommunications operators from 79 countries) to the offering of Cloud technology. We find that the influence of organizational absorptive capacity on technology adoption manifests itself partly through managerial attention. We also find that the firm’s absorptive capacity compensates for the regulatory system’s lack of quality for new technology adoption. Besides, the absorptive capacity is particularly important in directing managerial attention to the new technology in countries with a lower quality of regulatory systems.

Impact of Technology Adoption on the Performance of Small and Medium Enterprises in India

Technological innovation is believed to improve organization’s performance stimulates growth and the survival of the organization. Many factors influence the SME performance on technology adoption, such as formal strategy, Organization size, customer and supply relationship, technical capabilities, innovative cost and innovative support. The current study examines the performance of SMEs on technology adoption. It also examines the business performance along with the manufacturing performance of SMEs on adoption of newer technologies. The study uses logistic regression and linear regression to estimate manufacturing and business performance of SMEs. The results convey that the adoption of technologies by SMEs influence their manufacturing performance. Further, it can be concluded that, drivers of technology adoption partly influence the business performance of SMEs.

The ambiguity of innovation drivers: The adoption of information and communication technologies by public water utilities

Information and communication technologies have the potential to increase productivity, improving efficiency and eventually raising the quality of water services. Although this potential is recognized, great variation exists in the way water utilities adopt information and communication technologies.Based on literature review and empirical data drawn from the three case studies (a municipality in Greece, an airport in Italy and a water utility in the Netherlands) developed under the EU-funded Waternomics project the paper highlights how environmental, organizational and individual factors explain technology adoption. The paper pays particular attention to the idiosyncrasies of the water services sector, which influence this process. These include include the social and conomic importance of water supply, the monopolistic nature of the sector and increased commercialization of public water utilities. Our cases suggest that drivers of technology adoption appear to be somewhat ambiguous in the water services sector, in that they impact adoption in diverse locations differently. Our cases also suggest is that the prioritization of the factors that determine adoption are dynamic and change over time.

Preference Heterogeneity and Adoption of Environmental Health Improvements: Evidence from a Cookstove Promotion Experiment

Household preferences should influence adoption of environmental health-improving technologies, but there has been limited empirical research to isolate their importance, perhaps due to challenges of measurement and attribution. This paper explores heterogeneity in household preferences for different features of improved cookstoves (ICS) and assesses the degree to which these preferences are associated with actual adoption of electric and biomass-burning cookstoves during a randomized stove promotion campaign in northern India. Latent class analysis of data from a discrete choice experiment conducted in baseline surveys of 1,060 households identified three preference types: disinterested (54%), low demand but primarily interested in reduced smoke emissions (27%), and high demand with interest in most features of the ICS (20%). The ICS intervention, which was stratified according to communities’ prior history of interactions with the NGO marketing the stoves, was then randomized to 762 of these households. The main findings are that households in the disinterested class are less likely to purchase an ICS, that preference class is more strongly related to stove purchase than common sociodemographic drivers of technology adoption identified in the literature, and that distaste for smoke emissions appears to be a particularly strong driver for adoption of an electric ICS.

A Multivariate Analysis of Drivers of Technology Adoption

We study technology adoption patterns by examining how dispositional attitudes, as individual characteristics, combine to influence adoption across a varied range of consumer and self-service technologies. Using the Technology Adoption Propensity (TAP) index, a psychometric scale that measures four dimensions of consumers’ technological predispositions, our results indicate that feeling proficient in one’s ability to learn how to use technology has the largest effect on adoption across offerings, whether relatively low-tech or high-tech. We further show that the positive effect of felt proficiency and the negative effect of a sense of vulnerability conferred by technology appear to diminish as an offering matures. Across product categories, about 11% of our sample exhibits a relatively high probability of adopting all cross-category technological offerings. This group is characterized by a high level of felt proficiency and they adopt new technologies sooner than other groups.

Drivers of technology adoption — the case of nanomaterials in building construction

With the building and construction sector contributing significantly to global greenhouse gas emissions, there is great demand for resource- and energy-efficient construction materials. Manufactured nanotechnology products (MNPs) are expected to realize resource and energy efficiency through performance improvements in the strength, lightness and insulating properties of construction materials. However, the actual adoption of MNPs has lagged. This article examines how the construction sector in the United States assesses MNPs for adoption. Through patent analysis and interviews, we gauge the supply of MNPs and identify actors' roles in technology adoption. Results indicate that awareness of MNPs is more extensive than anticipated. Yet, MNP adoption is limited by a multi-component technology assessment process focused primarily on the technology’s applicability to project-based outcomes. We conclude that barriers to MNP adoption can be overcome through intermediary activities such as product certification, comprehensive technology assessments, and “real-world” demonstrations.

Farm intensification and drivers of technology adoption in mixed dairy-crop systems in Santa Cruz, Bolivia

The expanding demand for livestock products in developing countries is expected to drive changes in livestock farming systems, such as intensification and technological development. However, while large commercial farms can take advantage of these new opportunities, semi-subsistence agriculture will be the main option for many poor livestock keepers. Development pathways may depend on local and farm-specific conditions. In this paper we: 1) typify mixed crop-dairy systems in Santa Cruz (Bolivia) from the point of view of their structural and socio-economical characteristics; 2) deepen the analysis of farm economics and level of intensification and 3) identify factors associated to the adoption of technologies. Three farming systems (specialized large commercial livestock farms, medium-size agricultural farms, and small semi-commercial mixed farms) were clearly differentiated in terms of structure, production orientation, economics and intensification level. The adoption of technologies (use of concentrates, pasture fertilization, cultivation of cut and carry pastures and use of dairy breeds) was related to distance from the farm to the nearest population, farmer education, farmer age and income. Policies directed towards improving market access and rural infrastructure would reduce transaction costs and increase non-farm employment opportunities. Similarly, investments in education and training would improve management capacity and technology adoption. However, current extension services do not seem to have an effect on technology adoption and, therefore, need to be improved/ better targeted.

Incorporating Real-Time Financial Data Into Business Curricula

The need to incorporate business and economic data into curricula has been a driver of technology adoption in business schools. Webbased resources and professional data services, such as Reuters and Bloomberg, are being increasingly adopted by business programs to meet this need. There are clear trade-offs to adopting either technological approach. In this article, the author presents examples of incorporating real-time data from professional data services into a variety of business topics.