Technology Adoption Theories Research Articles

A value-based approach to the adoption of cryptocurrencies

The use of cryptocurrencies offers attractive business opportunities, in the context of financial services, smart contracts and token-based business models. The objective of this study is to provide a value-based understanding of what drives people to use cryptocurrencies for value exchange. Based on the users’ perceived value of the technology, as logic of decision making, we explore the role of perceived financial value and the perceived emotional value in the intention to use the technology. The unified technology adoption theory provides the potential drivers of these value concepts, which are extended accounting for sustainability. Furthermore, to capture users’ evolving experience with blockchain technologies, we propose the concept of the cryptocurrency knowledge path, capturing the scope and depth of users’ knowledge on the applicability of cryptocurrencies, as potential influence on the value concepts in the decision to actively use cryptocurrencies. For the analysis, a structural model is set up and estimated using partial least square analysis (PLS-SEM). We identify a positive effect of both value concepts, financial and emotional value, on the intention to use cryptocurrencies. However, interestingly, we find that the emotional value assessment is fully mediated through the knowledge path. Furthermore, we find that environmental sustainability considerations are fully mediated through either of the two value concepts. These results provide guidance for a customer-centric, sustainable design and marketing of crypto-projects.

Digitalization of the Healthcare Supply Chain through the Adoption of Enterprise Resource Planning (ERP) Systems in Hospitals: An Empirical Study on Influencing Factors and Cost Performance

Rising healthcare costs force healthcare organizations worldwide to reconsider their business strategies. Hospital managers are tasked with lowering operating costs while upholding the high quality of care, two goals perceived as contradictory by many healthcare professionals. Attempting to contribute towards reaching these goals, the study explores the digitalization of the healthcare supply chain through the adoption of enterprise resource planning (ERP) systems and its impact on hospital supply chain costs. Established technology adoption theories are synthesized to develop a research model that investigates the adoption of hospital ERP systems and its impact on supply chain cost performance. The framework is validated via structural equation modeling (SEM) with data collected from 107 Greek public hospitals. The results indicate that technological and organizational readiness, hospital size, governmental policies, and perceived benefits have a significant influence on the extent of ERP systems adoption. They also demonstrate a statistically significant association between the use of ERP systems and hospital supply chain costs. The present study highlights the influencing factors of ERP systems adoption in hospitals and provides empirical evidence on the resulting cost benefits., This implies greater urgency for hospitals to digitalize their supply chain by implementing and fully exploiting the ERP systems’ functionality in order to reach their goal of delivering quality care at a lower cost.

IMPROVING FARMERS WELFARE BY ENHANCING THE ABILITY OF INFORMATION TECHNOLOGY ADOPTION: AN EVENT STUDY OF FOOD CRISIS’ THREAT

Food security has become a global problem in the midst of a war which resulted in an increase in fuel prices followed by an increase in the price of basic necessities, especially our main staple food, namely rice. Overcoming this, the government is expected to pay attention to the welfare of farmers so that farmers are still able to produce to be able to meet food needs in the country. This requires the government's attention in providing counseling and training to farmers in increasing their ability to adopt technology to be applied in the agricultural sector so that production output can be increased and maintain sustainability in the domestic agricultural sector. Technology adoption theory is the main focus in improving the welfare of farmers, this is due to the benefits of information technology as a supporting sector in the production process so as to be able to increase output in a shorter span of time. The higher the ability of farmers to adopt technological developments, the higher their ability to cultivate production land which is able to increase production yields so that it will be followed by an increase in farmer welfare.

CALCULATOR PREVALENCE IN MATHEMATICS CLASSROOMS: CASE OF EKUDIBENG CIRCUIT IN SOUTH AFRICA

This study influenced by the Technology adoption theory, explored the prevalence of calculators in Ekudibeng circuit mathematics classrooms in South Africa. Pragmatism guided assessment of technology adoption by allowing application of both quantitative and qualitative data analysis to portray reality. A sequential design of document analysis, a survey, lesson observations, focus group discussions and in-depth interviews was used. Empirical data was collected from a purposive sample of 154 participants, composed of 41 teachers of mathematics and 113 learners from grade 8 to 12 in Ekurhuleni South district secondary schools. A sample of 26 teachers’ schemes and mathematics school syllabuses was analysed. The study found (71%) prevalence for calculator use in both public and private schools mathematics classrooms. A hypothesis test at 5% level of significance confirmed an association between gender and calculator use preference. Although all teachers reported willing to use the calculator, 54 (35%) reported, not possessing a personal calculator. Study found five calculator models in use. The majority used the SHARP model. National examinations disallowed the graphic FX-CG50 because of its perceived complexity. Calculators were used for computation of ( r2) regression coefficient correlation and evaluation for logarithms and trigonometry ratios for transformation functions such f(x) = 2Sin θ. Factors retarding calculator adoption include; lack of financial resources for high density public school learners, limited teacher commitment for calculator use and low teacher technical knowhow of using calculator for instruction.. National examinations not emphasising use of calculators, mathematics text books do not show how calculators can be used for instruction. Study recommends use of a single calculator model as a district policy. Authoring of a teachers’ handbook for the use of calculators for instruction is called for. Mathematics teachers’ staff development workshop on the application of calculators is long overdue.

Exploring the influence of information and communication technology (ICT) on construction supply chain management: Empirical evidence from a construction project’s perspective

The purpose of this paper is to explore the influence of ICT on construction supply chain management (CSCM). Furthermore, this research proposes a model for ICT that can be used to test and improve CSCM within the Nigerian construction industry. The relationship between ICT and CSCM was highlighted in an integrated model. Structural equation modelling (SEM) was used to validate the hypothesised relationship by evaluating the responses of practitioners working in construction project management related firms using a sample of 214 respondents. The findings of this study show a link between ICT and CSCM on five (5) of the constructs on targeted construction firms engaged in supply chain (SC)-related construction activities in Port-Harcourt, Rivers State, Nigeria. This research is supported by the Technology Organisation and Environment (TOE) Model as a key theory of technology adoption. With an average R2 value, the SEM model is 76%, which is commendable (high). The current study offers an empirical and theoretical explanation of various aspects of ICT and CSCM, particularly in the Nigerian construction industry. As a result, this study adds to the body of knowledge by providing crucial insight into the influence of ICT on CSCM throughout the entire construction supply chain. The knowledge gained will aid industry stakeholders and the government in developing policies that will increase ICT adoption in current practice.

How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach

Supply chain resilience (SCR) is crucial for organizational sustainability and growth. This paper explores the factors of digitalization in the banking sector for achieving resilience in the e-commerce service supply chain. Most previous researchers have explored supply chain resilience in e-commerce using structural equation modeling. This study identifies and evaluates the crucial factors of digital banking that improve resilience in the e-commerce service supply chain using the Interpretive Structural Modeling (ISM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. A conceptual framework is created based on the literature review and technology adoption theory. The framework comprises the critical digital technology adoption factors for the resilient service supply chain in Pakistan’s e-commerce sector. The results show that the most critical driving factors are “performance expectancy (F15),” “e-cost effectiveness (F5),” and “Trust (F8)” The research findings have several implications for decision-makers, and practitioners, providing insights into how digitalization in the banking sector can help in designing resilient supply chains in the e-commerce sector.

Ecosystem-driven business opportunity identification method and web-based tool with a case study of the electric vehicle home charging energy ecosystem in Denmark

Understanding the local needs and challenges is critical for technology adoption in the energy sector. However, it is still a big challenge for most ecosystem stakeholders. Furthermore, technology adoption theories have mainly focused on the technology itself, and the business ecosystem perspective has been neglected. Therefore, this paper proposes an ecosystem-driven business opportunity identification method, a systematic approach for ecosystem stakeholders to conduct business opportunity analysis and evaluation based on the CSTEP ecosystem analysis and evaluation method. This method includes four correlated steps: Step 1: Identify the five CSTEP dimensions of the business ecosystem; Step 2: Identify potential changes in the business ecosystem; Step 3: Identify future ecosystem trends and timeline; Step 4: Select business opportunities; and Step 5: Potential solution identification. A web-based tool called opportunity identifier is developed for implementing the proposed method. A case study of the electric vehicle (EV) home charging energy ecosystem in Denmark is applied and demonstrates the application of the proposed method and the implementation of the developed web-based tool. Three value propositions are identified in the case study: (1) EV users can have optimal EV charging cost and optimal CO2 emission consumption with the intelligent EV charging algorithms that consider electricity prices, tariffs, and CO2 emission; (2) DSOs can avoid grid overloads and postpone the grid upgrade by applying intelligent EV charging algorithms; (3) Independent aggregators can aggregate EVs and participate in the ancillary service market or provide Vehicle-to-Grid services by using intelligent EV charging algorithms. Moreover, three feasible decentralized EV charging strategies (Real Time Pricing, Time-of-Use Pricing, and Timed charging) are identified as the potential solutions targeting the first value proposition.

Willingness of Tea Farmers to Adopt Ecological Agriculture Techniques Based on the UTAUT Extended Model.

Ecological agricultural technology is the key method for making the transition from traditional agriculture to ecological agriculture, and is also the basic measure for promoting the transformation and upgrading of the tea industry and sustainable development. This study explores the influencing factors and mechanisms of tea farmers' adoption of ecological agricultural technology by using the extended model of the unified theory of technology adoption and use (UTAUT) based on perceived value. The analysis results, using the partial least squares structural equation model (PLS-SEM), show that: the positive impact of perceived value on willingness to use not only makes the explanatory power of the extended model greater than that of the original model but also expands the UTAUT model into a full mediating model, in which performance expectation has the greatest impact on behavioral intention through the implemented value. Effect expectation, social influence and factoring factors following, then the four intermediary paths have significant positive effects on behavioral intention. This study improves on the limitations of the UTAUT theoretical model through the theory of perceived value, and provides a reference for research on the same topic. At the same time, the government should provide tea farmers with enhanced subsidies, skills training and communication platforms.

An Integrative Literature Review on Leadership and Organizational Readiness for AI

Digital transformation is a reality for nearly all organizations today. Artificial intelligence (AI) plays a critical role in this transformation. The advent of machine learning and AI forces leaders to re-evaluate what it takes to lead an AI-driven firm successfully. As the scope and applicability of AI aggrandize, traditional leadership needs to evolve and meet the challenges and harness the opportunities this elusive technology presents. This literature review examines required leadership capabilities and organizational imperatives (beyond technology) for AI readiness and adoption. Based on literature, a new framework is presented to build on current leadership insights and technology adoption theories. The framework connects required leadership capabilities (agility, vision, engagement, ethics, and digital know-how) and organizational domains (knowledge, competence, and culture) to create a tool for executive leaders to drive AI adoption throughout their firms.

Entrepreneurial Financing Practices and Growth of Youth Owned Micro and Small Enterprises in Kenya

Despite the importance of MSEs to the Kenyan economy, the rate at which new firms are formed, have stagnated and the already established MSEs younger than 5 years are collapsing a great deal. This study thus sought to establish the effect of entrepreneurial financing on growth of youth owned Micro and Small Enterprises in Kenya. The study was guided by the following specific objectives; to establish the effect of digital credit on growth of youth owned Micro and Small Enterprises in Kenya, to assess the effect of banks and microfinance lenders on growth of youth owned Micro and Small Enterprises in Kenya, to determine the effect of equity financing on growth of youth owned Micro and Small Enterprises in Kenya, and to find out the effect of investors on growth of youth owned Micro and Small Enterprises in Kenya. The study was anchored on technology adoption theory, influential theory, pecking order theory, and agency theory. The researcher used descriptive research design. The target population for this study was 2672 MSEs in Kenya. Yamane formula was used to determine study sample size which was 348 owners of the MSEs. The researcher used simple random sampling to select the sample. Questionnaire was used as the research tool. The study piloted the questionnaire on 17 MSEs from Kiambu County (5% of sample size). The study employed both quantitative and qualitative methods of data analysis. Qualitative data analysis involved coding and systematically putting into themes the open ended questions which was analyzed through content analysis and presented in prose form. Quantitative data was analyzed using descriptive and inferential statistical techniques. Descriptive statistics was used to present the main characteristics of the sample and involved use of mean, measures of dispersion and percentages. Correlation analysis was used to investigate the relationship between study variables. The study used SPSS version 25 software to carry out regression analysis. Data was presented using tables, and figures to make them reader friendly. The study concludes that digital credit has a positive and significant effect on growth of youth owned Micro and Small Enterprises in Kenya. In addition, the study concludes that banks and microfinance lenders has a positive and significant effect on growth of youth owned Micro and Small Enterprises in Kenya. Further, the study concludes that equity financing has a positive and significant effect on growth of youth owned Micro and Small Enterprises in Kenya. The study also concludes that investors have a positive and significant effect on growth of youth owned Micro and Small Enterprises in Kenya. In addition, the youth owned SMEs should consider interest rates charged, repayment duration and collateral required before accessing the credit facility Keywords: Entrepreneurial Financing Practices, Growth, Micro and Small Enterprises

User Adoption of Intelligent Environments: A Review of Technology Adoption Models, Challenges, and Prospects

Recent technological advancements have enabled the development of smarter (more automated) and more intelligent (adaptable) environments. To understand what factors lead users to reject or adopt Intelligent Environments (IEs), we reviewed nine prominent technology adoption theories. We conducted a literature review to investigate the acceptance and adoption of different types of IEs. We found that perceived usefulness, ease of use, perceived control or self-efficacy, affect and enjoyment, and perceived risks are the common factors across the studies explaining the adoption of IEs. However, shortcomings in the design and methods of the reviewed studies present major concerns in the generalizability and application of existing theories to emerging IEs. We identify eight lacunae in the existing literature and propose a new conceptual model for explaining the adoption of IEs. Through this study, we contribute to the formulation of the theoretical background for the successful introduction of IEs and their integration into users’ everyday life.

Digital Fashion Revolutions: Supply Chain Transparency, Digitalization and the Non-Disclosure Paradox

The emergence of digital technology as a ‘cure-all’ for sustainable practice has captured the imagination of observers and entrepreneurs alike. Among these technologies, blockchain has been cited as the ideal tool to optimize supply chain transparency. However, despite the abundance of effusively disseminated information in the media, the lack of blockchain applications that are universally accessible, and their negligible uptake raises doubts as to its utility. In particular, small to medium enterprises (SMEs) have for several reasons been slow to adopt blockchain technologies. ‘Digital hesitancy’; lack of common data standards; complex and tedious data collection and transfer; immaturity of the technology; no effective universal platform; lack of resources; and reluctance to share data with perceived competitors are common obstacles. This study explores one of these barriers to adoption, that is, the reluctance to disclose supply chain information to potential competitors. Taking a qualitative approach, the study analyses the current perception of blockchain enabled supply chain transparency through interviews with small scale fashion firms and technology start-ups. Applying a lens of technology adoption theories, the study seeks to understand how supply chain transparency might be satisfactorily managed and even accelerated through technology uptake. A misunderstanding of the software’s capabilities is evident. Many firms seem unaware that the software can be applied to provide managed access to information—arguably providing an advantage over extant transparency measures such as public self disclosure or reliance on third party certifications. This study identifies that because of lack of ‘education’, firms are ill-informed and under-utilizing technologies that are potentially more advantageous than current analogue approaches—that could circumvent the information disclosure paradox.

Market Isomorphism and Mobile Commerce Adoption in The Omnichannel: A Systematic Literature Review

Intense competition in the online retailing arena is transforming retailing systems to include mobile commerce resulting in increasing challenges to retailers since adoption is voluntary and changing consumer expectations shaped by circumstances, norms, and the need for new technology adaptations. As consumer behaviour is easily affected by the increasing social interactions through social networking media, the human and social factors that technology adoption theories lacks were commonly added into the studies to improve predictive capabilities. Therefore, this study investigates the social dimension’s effects on technology adoption by adopting the institutional theory concept i.e., isomorphism, and conducting a systematic literature review exercise basing on the PRISMA framework. Articles review found organisation adoption studies commonly adapted institutional theory, but scarcity on consumer technology adoption. Isomorphic forces (i.e., coercive pressures, mimetic pressures, normative pressures) would significantly affect technological adoption and apply to both organisational and consumer adoption because individual behaviour detects successful adoption. By understanding market isomorphic forces, retailers could use the facts to formulate marketing strategies. The systematic literature review also showed variation in technology adoption because of cultural differences, norms, demographics, etc. Market isomorphism inclusion in consumer adoption studies is scarce. Recommendation for inclusion is encouraged for further investigation into its discriminant validity and definitions.

Analisis Faktor-Fator yang Mempengaruhi Penggunaan Aplikasi Investasi Reksadana Online pada Generasi Millenial dan Generasi Z

This study aims to analyze the driving factors that can influence individuals in using mutual funds Bibit application. The proposed model has factors from the The theory of technology adoption (TAM) is implemented in this study to analyze how technology adoption of online mutual fund investment with millennial as the main object of research. This research is a quantitative research with a survey method by distributing online questionnaires. Sampling using purposive sampling method. This study Used 5 internal variables and 3 external variables which are Perceived Security, Perceived Trust and User Interface After gathering 168 data respondents, it is found that there are several factors that have positive significance to Actual System Use to adopt online mutual fund application, namely Perceived Security, User Interface, Perceived Usefulness, Perceived Ease of use, Attitude Toward Use and Behavioral Intention to Use. Meanwhile, Perceived Trust have no significance to Actual System Usage of Bibit application. This finding will be useful for online mutual fund application developers to transform conventional mutual fund to online platforms format.

An artificial intelligence (AI)-readiness and adoption framework for AgriTech firms

With recent technological advancements, empowered by the self-learning capabilities of algorithms and increasing power of machine computation, artificial intelligence (AI)-driven technologies have become more salient for addressing and solving specific types of business problems. This saliency is no less important for firms operating in the agricultural technology (AgriTech) sector, where the impacts of AI-driven technologies and systems create new opportunities and challenges. We argue that with the unique characteristics of AI technologies and emerging challenges and aspirations of the AgriTech sector, there is a need to rethink traditional theories of technology adoption and readiness within AgriTech firms. In this paper, we develop an understanding of AI readiness and adoption through a fuller appreciation of micro- and meso-empirical data that delineates the determinants of AI readiness and uncovers a set of strategic components that can help AgriTech firms better manage the readiness process for AI adoption. To do this, we employ a mixed-methods approach and elicit data from 236 e-surveys and 25 interviews from an important conference in the AgriTech field. Our findings have implications for research and practice to understand AI technological readiness.

Empirical scrutiny of the behavioural intention of construction organisations to use unmanned aerial vehicles

PurposeThis paper aims to assess the behavioural intention of construction organisations to use unmanned aerial vehicles (UAVs) in the delivery of construction projects. Using the unified theory of technology adoption and use of technology (UTAUT) model, the study strives to improve project delivery by adopting beneficial digital technologies.Design/methodology/approachThe study adopted a postpositivism philosophical stance through a quantitative research approach using a structured questionnaire administered to construction organisations in South Africa. Primary data gathered was analysed using frequency, percentage, mean item score, Mann–Whitney U-test and confirmatory factor analysis, where the latter sought to deductively confirm the variables within the UTAUT model.FindingsConstruction organisations were found to rarely use UAVs in the country and furthermore, most of the participating organisations are unsure about using UAVs for their project delivery. Factors impacting on an organisation’s intention to use UAVs were identified as social influence, performance expectancy, effort expectancy and facilitating conditions. However, factors surrounding resistance to using and perceived risk cannot be overlooked as they also proved to be significant (at p = 0.05) to the behavioural intention of organisations to use UAVs.Practical implicationsPractical guidance for industry practitioners is offered in terms of insight into the key factors that must be considered for the effective utilisation of UAVs and the realisation of concomitant benefits.Originality/valueThis study bridges the knowledge gap in extant literature by exploring the practitioner’s behavioural intention to use UAVs. As an aside, an emergent theoretical backdrop for future works on UAVs is provided (particularly in developing countries where such a study has not been previously explored).

Cloud accounting adoption in Thai SMEs amid the COVID-19 pandemic: an explanatory case study

The COVID-19 pandemic has altered the way small and medium-sized businesses (SMEs) function. To maintain business efficiency and reduce operating costs in the context of the constraints imposed by the pandemic, SMEs have been forced to embrace new digital technologies. Cloud accounting is becoming an increasingly important business operating tool for SMEs. By adopting cloud-based accounting, SMEs can become more efficient, financially organized, and flexible. This study aims to investigate the factors that have a pervasive influence on cloud accounting adoption among SMEs in Thailand, following the pandemic's effects. This study integrates three technology adoption theories—the Technology–Organization–Environment framework, Diffusion of Innovation theory, and Institutional Theory—and studies them alongside SMEs' unique characteristics. The research employs a qualitative case study method and triangulated sources of evidence. The findings provide important implications for the research community, policymakers, cloud accounting vendors, and SME owners aiming to formulate better approaches to cloud accounting adoption after the pandemic. The results suggest that vendors should focus on SMEs' particular characteristics and needs. By contrast, SMEs should determine the organizational fit of the cloud accounting platform and integrate cloud accounting with other aspects of their operations.

Assessing Adoption Factors for Additive Manufacturing: Insights from Case Studies

Background: Research on Additive Manufacturing [AM] provides few guidelines for successful adoption of the technology in different market environments. This paper seeks to address this gap by developing a framework that suggests market attributes for which the technology will successfully meet a need. We rely on classical technology adoption theory to evaluate the challenges and opportunities proffered by AM. Methods: We apply a framework of technology adoption and assess these parameters using seven case studies of businesses that have successfully adopted AM technology. Results: We find that successful business adoption is highly associated with the relative advantage of AM to rapidly deliver customized products targeted to niche market opportunities. Conclusions: Our findings provide a decision framework for AM equipment manufacturers to employ when evaluating AM technology across various market environments. All five adoption characteristics were found to be important however, the primary decision criterion is based on the relative advantage of AM over other, traditional, technologies. From a practitioner perspective, our research highlights the importance of AM in attaining a competitive advantage through responsive, customized production which can address the needs of niche markets.

Investigating perceptions, adoption, and use of digital technologies in the Canadian beef industry

This research investigated digital technology adoption in the Canadian beef farming industry. The study was carried out from the point of view of two different stakeholders, farmers and veterinarians, to understand current perceptions, level of awareness, and experiences with digital precision livestock farming (PLF) technologies being used on Canadian beef farms. The study specifically focused on the beef feedlot sector in the Canadian province of Ontario. Data from 11 interviews and 24 surveys were analyzed for key themes and patterns. The data was also analyzed through the lens of Rogers’ Diffusion of Innovations technology adoption theory to help understand the potential for technology adoption among Canadian beef producers. The study findings revealed that feedlot producers use a wide variety of software and hardware technologies, but favoured mature, proven technologies that strongly aligned with their business needs. There was little up-take of PLF technologies that focused on 24/7 individual animal health and welfare monitoring, and evidence was found that current technologies that serve this purpose are both unsuitable and cost prohibitive for the farming practices and business needs of the feedlot sector. The main technology adoption barriers found in the study were costs and return on investment, technology usability, lack of awareness of technologies and their capabilities, and perceived relevance of the technology. The study findings have implications for PLF innovators and industry stakeholders, such as the need for pricing models for products and services that minimize up-front investments, and the need for user-centred design of PLF technologies that bridge the gap between technology capabilities and user needs and expectations.

The Impact of Electronic Procurement Adoption on Green Procurement towards Sustainable Supply Chain Performance-Evidence from Malaysian ISO Organizations

Emerging technologies such as electronic procurement have rapidly become common practice in recent years. With the advent of internet technologies and open innovations, the traditional procurement system is transformed into an electronic procurement system. Technology adoption is influenced by multiple factors, including the adopter, technology, and ecosystem in which they function. Considering this, E-procurement is still being adopted slowly. This research aims to investigate the extension of the adoption of E-procurement and identify the relationships between the E-procurement technologies and green procurement practices across different sectors of ISO 14001-certified Malaysian enterprises. This research is supported by the Technology Acceptance Model, one of the significant theories of technology adoption. Using SPSS and SmartPLS, the survey data is analyzed quantitatively. The structural model explains 86% of the variance in green procurement and shows the positive significant relationship between green procurement and the E-procurement technology of the ISO 14001 firms. Consequently, adopting E-procurement technology would benefit company sustainability. A benchmark for ISO companies will be established, highlighting the importance of E-procurement technology in improving green procurement and supply chain efficiency. The study recommends that demand for environmentally friendly products and services be fueled by technology-based purchases, resulting in a greener supply chain.