Technology Adoption Framework Research Articles

Study protocol for factors influencing the adoption of ChatGPT technology by startups: Perceptions and attitudes of entrepreneurs.

Generative Artificial Intelligence (AI) technology, for instance Chat Generative Pre-trained Transformer (ChatGPT), is continuously evolving, and its userbase is growing. These technologies are now being experimented by the businesses to leverage their potential and minimise their risks in business operations. The continuous adoption of the emerging Generative AI technologies will help startups gain more and more experience with adoptions, helping them to leverage continuously evolving technological innovation landscape. However, there is a dearth of prior research on ChatGPT adoption in the startup context, especially from Entrepreneur perspective, highlights the urgent need for a thorough investigation to identify the variables influencing this technological adoption. The primary objective of this study is to ascertain the factors that impact the uptake of ChatGPT technology by startups, anticipate their influence on the triumph of companies, and offer pragmatic suggestions for various stakeholders, including entrepreneurs, and policymakers. This study attempts to explore the variables impacting startups' adoption of ChatGPT technology, with an emphasis on comprehending entrepreneurs' attitudes and perspectives. To identify and then empirically validate the Generative AI technology adoption framework, the study uses a two-stage methodology that includes experience-based research, and survey research. The research method design is descriptive and Correlational design. Stage one of the research study is descriptive and involves adding practical insights, and real-world context to the model by drawing from the professional consulting experiences of the researchers with the SMEs. The outcome of this stage is the adoption model (also called as research framework), building Upon Technology Adoption Model (TAM), that highlight the technology adoption factors (also called as latent variables) connected with subset of each other and finally to the technology adoption factor (or otherwise). Further, the latent variables and their relationships with other latent variables as graphically highlighted by the adoption model will be translated into the structured questionnaire. Stage two involves survey based research. In this stage, structured questionnaire is tested with small group of entrepreneurs (who has provided informed consent) and finally to be distributed among startup founders to further validate the relationships between these factors and the level of influence individual factors have on overall technology adoption. Partial Least Squares Structural Equation Modeling (PLS-SEM) will be used to analyze the gathered data. This multifaceted approach allows for a comprehensive analysis of the adoption process, with an emphasis on understanding, describing, and correlating the key elements at play. This is the first study to investigate the factors that impact the adoption of Generative AI, for instance ChatGPT technology by startups from the Entrepreneurs perspectives. The study's findings will give Entrepreneurs, Policymakers, technology providers, researchers, and Institutions offering support for entrepreneurs like Academia, Incubators and Accelerators, University libraries, public libraries, chambers of commerce, and foreign embassies important new information that will help them better understand the factors that encourage and hinder ChatGPT adoption. This will allow them to make well-informed strategic decisions about how to apply and use this technology in startup settings thereby improving their services for businesses.

Smart Banjar: An ICT Adoption Framework to Enhance People's Welfare

Economic development has slowed dramatically in several countries during the COVID-19 pandemic, like in Indonesia. Bali Province was one of the regions that was severely affected. Due to its reliance on the tourism industry, Bali had the most significant negative growth. It is time for Bali and other regions to develop the potential of a locally-based, sustainable, and resilient economy to enhance the people’s welfare. Improving the community’s welfare can be done with the synergy of various entities—the synergy created by integrating programs in Banjar with microfinance to develop microenterprises. The main objective of this research is to ascertain the framework’s dimensions and components. Furthermore, the relationships between these dimensions or elements have been determined. Based on the findings, the two primary objectives were completed. This procedure has produced the Smart Banjar framework as a theoretical solution to enhance people’s welfare. This research created the information communication technology (ICT) adoption framework that uses the TOE theory as its theoretical basis. The Advisory Board serves as the environmental context for formulating policies. The policy will regulate governance to realize the synergy between microenterprises, microfinance, and Banjar in the organizational context. ICT adoption, including ICT infrastructure, ICT services, and ICT literacy, will support and optimize the synergy. Further investigation is required to ascertain the Advisory Board's specific constituents. Additional studies are needed to implement ICT, obtain empirical evidence, and prove its ability to improve people's welfare.

Decoding the shared pathways of consumer technology experience in hospitality and tourism: A meta-analysis

This research presents a comprehensive analysis of significant factors shaping consumer technology adoption and experiences in the hospitality and tourism sector. Technology-related research papers from top hospitality and tourism journals published from 2000 to 2021 were reviewed and analyzed via both qualitative and quantitative approaches. The qualitative thematic analysis offers a synthesized summary of the evolving research themes over the two decades. The quantitative meta-analysis supports our proposed conceptual model of factors influencing consumers' technology adoption and experiences in the hospitality and tourism context. Our findings not only advance the theoretical framework of technology adoption and experiences but also provide valuable managerial guidance for effective technology implementation. Moreover, we propose promising research avenues to enhance user experiences with diverse service technologies, fostering continued theoretical development in this field.

Technological Innovation Adoption Among Swedish Healthcare Professionals: A Contingency Technology Adoption Framework

Technological Innovation Adoption Among Swedish Healthcare Professionals: A Contingency Technology Adoption Framework

Assessment of Factors for Blockchain Adoption Readiness in Tanzanian Public Healthcare Insurance Sectors: A Case Study of National Health Insurance Fund

Blockchain technology offers various benefits, including efficient and verified record keeping, transparency and tracking, and cost optimization. This article assesses factors that impact adoption readiness of blockchain technology by 106 public health insurance sectors (PHISs) in Tanzania. The study examined integrated technology adoption frameworks, including Diffusion of Innovation (DOI), Technology Readiness Index (TRI), and Technology-Organization-Environment (TOE). Using this integrated TOE-DOI-TRI framework, the study proposed nine hypotheses related to adoption readiness of blockchain technology. The study also proposes an integrated technology adoption framework that can be used for future studies. Confirmatory factor analysis and structural equation modeling were used to test the hypotheses. Results demonstrate that relative advantage, technology compatibility, data security, government support, competitive pressures, top management commitment, partnerships and collaboration with experts as well as employee engagement have a positive influence on the adoption readiness of blockchain technology by Tanzanian PHISs. However, technological complexity hinders PHIS's adoption of the technology. This study reveals a paucity of literature that have attempted to identify the factors of PHIS technology adoption in Tanzania. The results will enable PHIS stakeholders to understand important factors in adopting blockchain technology. Additionally, our results can assist developers of this promising technology to generate customized solutions.

Teachers and Students Perception of Technology and Sustainable Adoption Framework in the Pedagogical Process: A Systematic Review

The adoption of technology remains a persistent challenge, but it is an essential endeavour in the pursuit of fostering inclusivity, equity, and a steadfast commitment to providing high-quality learning opportunities for all. This study conducts a systematic review to explore how teachers and students perceive the role of technology in the classroom. It also investigates the key factors that influence teachers’ perceptions of technology and the barriers they encounter when adopting technology in the pedagogical process. Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guideline, reputable databases were thoroughly examined, including Google Scholar, Semantic Scholar, Web of Science, and Scopus. The search identified 83 relevant publications spanning the years 2010 to 2023. After a comprehensive evaluation, we identified 41 publications most relevant to the study. The study revealed that both teachers and students view technology as a valuable tool to improve the quality of learning and encourage active participation in the classroom. The findings also uncovered the key factors influencing students’ and teachers’ technology perceptions in education and highlighted the barriers to technology adoption in the pedagogical process. A sustainable framework was provided to ensure the sustainability of technology in the pedagogical process.

Societal acceptance of urban air mobility based on the technology adoption framework

Urban air mobility (UAM) is regarded as a sustainable alternative for intercity and intracity passenger transportation. The objective of this study is to identify the psychological and attitudinal factors that predict behavioral intentions to adopt UAM. This study integrates the unified theory of acceptance and use of technology with the initial trust model to explain the adoption intention among potential users of UAM. Results show that social influence and initial trust are the most significant predictor of the usage intention, which, together with performance expectancy, facilitating conditions, and structural assurance, lead to positive attitudes toward UAM. Initial trust was dependent on all six antecedents considered, but most largely on structural assurance. These findings emphasize the role of institutional safety nets, including regulations and legal resources, in increasing initial trust and promoting initial diffusion of UAM. They also offer guidance for designing interventions to improve the societal acceptance of UAM.

Implementing Wearable Sensors for Clinical Application at a Surgical Ward: Points to Consider before Starting.

Incorporating technology into healthcare processes is necessary to ensure the availability of high-quality care in the future. Wearable sensors are an example of such technology that could decrease workload, enable early detection of patient deterioration, and support clinical decision making by healthcare professionals. These sensors unlock continuous monitoring of vital signs, such as heart rate, respiration rate, blood oxygen saturation, temperature, and physical activity. However, broad and successful application of wearable sensors on the surgical ward is currently lacking. This may be related to the complexity, especially when it comes to replacing manual measurements by healthcare professionals. This report provides practical guidance to support peers before starting with the clinical application of wearable sensors in the surgical ward. For this purpose, the Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability (NASSS) framework of technology adoption and innovations in healthcare organizations is used, combining existing literature and our own experience in this field over the past years. Specifically, the relevant topics are discussed per domain, and key lessons are subsequently summarized.

POTENTIAL OPPORTUNITIES OF BLOCKCHAIN TECHNOLOGY IN STREAMLINING THE MALAYSIAN COMMERCIAL OFFICE BUILDING OPERATION MANAGEMENT PROCESS

Managing commercial real estate is extremely complex and cumbersome and involves many stakeholders who provide access to and modify a variety of information. This led to some common issues with traditional commercial real estate management such as lack of transparency, third-party interference, the complexity of the agreements, record keeping and security, and absence of real-time data. Accordingly, blockchain technology is anticipated to address the issues of data openness, trustworthiness, and correctness in the global real estate market. This research aims to discover the potential opportunities that blockchain could offer in streamlining the commercial office building operation management process. A conceptual framework of blockchain-based technology adoption in the current Malaysian commercial office building operation management process was developed based on the literature review and focus group discussion (FGD). The framework was underpinned by four core operation management that emerge from the research findings including financial, administrative, technical, and promotional management.

Operationalisation and validation of a human factors-based decision support framework for technology adoption in the logistics sector

ABSTRACT The topic of human-centric design of smart production and logistics processes is increasingly debated in both academic and industrial communities. However, there is still little existing research on the integration of this concept with companies’ daily operations. The research presented in this paper aims to expand this area of research by proposing a framework designed for the logistics sector that includes human factors among the criteria for choosing the best technology to adopt based on the company’s requirements. The framework, which is, therefore, a decision support tool for technology adoption, is subsequently validated through a multiple case study. The results of the validation highlight the framework’s potential as a tool to better understand the human factors involved in tasks and technologies to be adopted in order to avoid possible critical issues related to technological changes (e.g. acceptability, need for additional investment in training, identification of required skills).

Usability of a novel lateral flow assay for the point-of-care detection of Neisseria gonorrhoeae: A qualitative time-series assessment among healthcare workers in South Africa.

Accurate and user-friendly rapid point-of-care diagnostic tests (POCT) are needed to optimize treatment of Neisseria gonorrhoeae, especially in low-resource settings where syndromic management is the standard of care for sexually transmitted infections. This study aimed to assess the acceptability and usability of a novel lateral flow assay and portable reader for the point-of-care detection of N. gonorrhoeae infection (NG-LFA). This mixed-methods study was conducted as part of a diagnostic performance and usability evaluation of a prototype NG-LFA for detection of N. gonorrhoeae in symptomatic men and women at primary healthcare facilities in the Buffalo City Metro, South Africa. The Standardized System Usability Scale (SUS) was administered, and in-depth interviews were conducted among healthcare professionals (HCPs) and fieldworkers (FWs) at pre-implementation, initial use and 3- and 6-month study implementation to assess user expectations, practical experience, and future implementation considerations for the NG-LFA. Data collection and analysis was guided by the Health Technology Adoption Framework, including new health technology attributes, learnability, satisfaction, and suitability. The framework was adapted to include perceived durability. A total of 21 HCPs and FWs were trained on the NG-LFA use. SUS scores showed good to excellent acceptability ranging from 78.8-90.6 mean scores between HCPs and FWs across study time points. All transcripts were coded using Dedoose and qualitative findings were organized by learnability, satisfaction, suitability, and durability domains. Usability themes are described for each time point. Initial insecurity dissipated and specimen processing dexterity with novel POCT technology was perfected over time especially amongst FWs through practical learning and easy-to-use instructions (learnability). Participants experienced both positive and negative test results, yielding perceived accuracy and minimal testing challenges overall (satisfaction). By 3- and 6-month use, both HCPs and FWs found the NG-LFA convenient to use in primary health care facilities often faced with space constraints and outlined perceived benefits for patients (suitability and durability). Findings show that the NG-LFA device is acceptable and usable even amongst paraprofessionals. High SUS scores and qualitative findings demonstrate high learnability, ease-of-use and suitability that provide valuable information for first-step scale-up requirements at primary healthcare level. Minor prototype adjustments would enhance robustness and durability aspects.

Barriers and facilitators of the adoption and use of assistive technology for adults with an intellectual disability who live in supported accommodation: a mixed methods systematic review protocol.

The objective of this review is to identify the barriers and facilitators of assistive technology adoption and use in adults with intellectual disabilities living in supported accommodation. This will inform the development of an assistive technology adoption framework for these settings. Assistive technology has the potential to increase the independence and well-being of people with intellectual disabilities; however, it is often not adopted. Generic models of technology adoption exist, and a recent systematic review has explored factors influencing access to assistive technology by people with intellectual disabilities. However, no review has presented a framework of adoption or use of technology specifically for people with intellectual disabilities living in supported accommodation. This review will include qualitative, quantitative, and mixed method studies as well as gray literature published from 1989 to 2023 on the barriers and facilitators of technology adoption and use by adults with intellectual disabilities living in supported accommodation. Systematic reviews and theses will be excluded. The review will be conducted in accordance with the JBI methodology for mixed methods systematic reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Databases to be searched will include PubMed, Scopus, Web of Science Core Collection, CINAHL, IEEE Xplore, and SocINDEX. Two independent reviewers will screen titles and abstracts for relevance and quality. Data will be extracted by 1 reviewer and validated by a second, independently. Data analysis will use a convergent integrated approach, with quantitative data "qualitized" using thematic analysis to allow comparison. All data will be mapped onto an existing framework of technological adoption via framework synthesis. PROSPERO CRD42022353732.

A qualitative study on the feasibility and acceptability of institutionalizing health technology assessment in Malawi

ObjectiveThe objective of this study was to assess the feasibility and acceptability of institutionalizing Health Technology Assessment (HTA) in Malawi.MethodsThis study employed a document review and qualitative research methods, to understand the status of HTA in Malawi. This was complemented by a review of the status and nature of HTA institutionalization in selected countries.Qualitative research employed a Focus Group Discussion (FGD ) with 7 participants, and Key Informant Interviews (KIIs) with12 informants selected based on their knowledge and expertise in policy processes related to HTA in Malawi.Data extracted from the literature was organized in Microsoft Excel, categorized according to thematic areas and analyzed using a literature review framework. Qualitative data from KIIs and the FGD was analyzed using a thematic content analysis approach.ResultsSome HTA processes exist and are executed through three structures namely: Ministry of Health Senior Management Team, Technical Working Groups, and Pharmacy and Medicines Regulatory Authority (PMRA) with varyingdegrees of effectiveness.The main limitations of current HTA mechanisms include limited evidence use, lack of a standardized framework for technology adoption, donor pressure, lack of resources for the HTA process and technology acquisition, laws and practices that undermine cost-effectiveness considerations. KII and FGD results showed overwhelming demand for strengthening HTA in Malawi, with a stronger preference for strengthening coordination and capacity of existing entities and structures.ConclusionThe study has shown that HTA institutionalization is acceptable and feasible in Malawi. However, the current committee based processes are suboptimal to improve efficiency due to lack of a structured framework. A structured HTA framework has the potential to improve processes in pharmaceuticals and medical technologies decision-making.In the short to medium term, HTA capacity building should focus on generating demand and increasing capacity in cost-effectiveness assessments. Country-specific assessments should precede HTA institutionalization as well as recommendations for new technology adoptions.

Technology Adoption and Promotion in the Age of Skepticism: Examining COVID-19 Mitigation through Technological and Human Factors

Expanding the theoretical framework of technology adoption and promotion, this study examined multi-domain predictors of the intention to adopt COVID-19-related mobile technology: technological (user-friendliness and privacy concern), human (relational and cultural), and situational (problem recognition, involvement recognition, and constraint recognition about the pandemic itself). An online survey (N = 745) of residents in a Southern U.S. city was conducted and analyzed using hierarchical ordinary least squares (OLS) regressions. Results showed that technology adoption intention was negatively related to privacy concern and positively related to trust in government. However, neither user-friendliness nor the cultural values of conformity and self-direction played a significant role. While interdependent self-construal was positively related to adoption intention, independent self-construal was not a significant predictor. Regarding situational perceptions, problem recognition and constraint recognition significantly predicted adoption intention, whereas involvement recognition did not. Theoretically, the study advances technology promotion literature by identifying multiple domains of barriers. Practically, it provides implications for promoting mobile technology in public health crises.

INSIGHTS INTO TECHNOLOGY ADOPTION: A SYSTEMATIC REVIEW OF FRAMEWORK, VARIABLES AND ITEMS

The purpose of this study is to provide a comprehensive analysis of key variables and items in technology adoption frameworks. The study aims to identify strengths and weaknesses of different frameworks and provide recommendations for future research and best practices for implementation of technology adoption frameworks. The literature review reveals that the most commonly used technology adoption frameworks are the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), Technology-Organization-Environment (TOE) Framework, Task Technology Fit (TTF), and Innovation Diffusion Theory (IDT). The study is significant as it will provide insights into factors influencing technology adoption and help researchers and practitioners better understand the adoption process. The study utilized a systematic literature review approach and identified 50 relevant articles published between 2012 and 2023. The findings revealed several key variables and items in technology adoption frameworks, including perceived usefulness, perceived ease of use, social influence, facilitating conditions, behavioral intention, organizational context, task compatibility, user skills, user involvement, communication, and innovation characteristics. The comparison of variables and items across frameworks highlighted overlaps and unique aspects of each framework, with some frameworks being more comprehensive than others. The study’s findings have practical implications for organizations considering technology adoption, and can contribute to the development of more effective technology adoption frameworks that address the complexities of adoption in various contexts.

Social network recruitment technology adoption framework in higher educational institutions in Kenya

The success of the organization depends on effective recruitment and selection system. Looking at the Kenyan labour market, there are still unfilled vacancies and organisations have problems regarding their staffing. Recruitment by Social Networking Sites is an aspect of a new topic and there is a lack of studies about it.  In this study, the main objective is to develop a framework for recruitment and selection process using social networking technologies with a case study on Kenyan universities. The study also focuses its attention to determine how the recruitment and selection practices affect the organizational outcomes. Specifically, it enriches literature by identifying the effect of various social networking sites as recruitment channels. Quantitative research will entail defining specific variables, research questions, as well as using measurements to determine causality. The analysis will be done through inductive methodology to discover the critical elements that emerge during online networking and personal touch, and analysis of factors that affect the selection and use of these technologies. Through this, human resource managers will be able to use the framework for achieving effective recruitment of potential employees through social networking technologies.

Secure cloud adoption model: novel hybrid reference model

<p>This article <span>discusses research conducted to conceptualise a secure cloud adoption model. The study surveyed SMEs in the Sri Lankan information technology industry using a questionnaire to determine cloud computing adoption factors. The study used Rogers' diffusion of innovation (DOI), Tornatzky and Fleischer's technology-organization-environment (TOE) framework, Venkatesh and Bala's technology acceptance model 3 (TAM3), and Venkatesh, Thong, and Xu's Unified theory of acceptance and use of technology 2 (UTAUT2) as the theoretical foundation for evaluating the reference model. Two hundred and fifty-six key officials from information technology (IT) organisations in Sri Lanka participated in the survey. The study used quantitative data coding and analysis methods with the SPSS and AMOS softwares. The findings from previous research and existing technology adoption frameworks and models were summarised to support the secure cloud adoption model (SCAM).</span></p>

Making translational value: Identifying ‘good targets’ for clinical research on gene editing and induced pluripotent stem cell technologies

Biomedical translational researchers aim to develop knowledge and techniques arising from research in the life sciences into clinical applications. Using the examples of induced pluripotent stem cells (iPSC) and gene editing, this paper examines how translational researchers identify and justify which particular conditions or patient populations make ‘good targets’ for translational research with particular technologies. Drawing on empirical data from qualitative interviews with academic and commercial researchers working on clinical translation of iPSC and gene editing in the UK, this study illustrates how particular combinations of technology and disease (for example iPSC-derived cells as a therapy for Parkinson's disease or gene editing for Cystic Fibrosis) were evaluated and justified as worth pursuing. The results show that translational researchers anticipate the ways in which their therapies-in-the making will be evaluated by other groups including regulators, physicians, patients, and bodies charged with health technology assessment. Each of these groups have their own understandings of what is valuable in a novel health technology and their own criteria for evaluation. As a result, translational researchers must supplement justifications that draw on scientific and industrial logics, with accounts that recognise other forms of worth, including market and civic registers of justification. These findings give an insight into the factors shaping contemporary biomedical translational research. The current regulatory and health technology adoption frameworks exert a strong influence, with elements such as ‘safety’ or ‘unmet need’ being common to most justification. However there was also sufficient flexibility to allow different competing definitions of what safety or unmet need might look like.

Adoption of digital technologies for asset management in construction projects

Smart asset management can provide a framework for validating and improving asset performance, as well as collecting and incorporating reliable asset information into the decision-making process. In this context, this study analyzes the adoption of technology in the management of intelligent assets through multiple case studies, the technologies used, and the factors that possibly affect the level of technology adoption in asset management and a new method for operating. Technology-Organization-Environment framework and Technology Acceptance Model were used to analyze the main factors influencing technology adoption in intelligent asset management. The contribution of the study lies in the integration of asset management concepts and technology adoption. This integration allows structuring a theoretical framework for technology adoption by identifying the adoption factors in each phase of the asset management cycle in construction projects.

Emerging technologies and the use case: A multi‐year study of drone adoption

AbstractAlthough disruptive “Industry 4.0” technologies often lack a clear business case, vendors are advocating and companies are actively exploring their use in operations settings. The technology management literature suggests that successful adoption derives from an appropriate fit between the specific technology and (1) economic and strategic factors, (2) operational and supply chain factors, and (3) organizational and behavioral factors. Through a five‐year research project, we explore how drones—an archetypal emerging technology supported by a thriving vendor ecosystem—transitioned from early ideas to experimental applications to full adoption in daily operations. We analyze a range of data, including exploratory interviews with drone ecosystem actors, a secondary dataset, and case studies of drone applications in Geberit and IKEA. Key findings relate to our observation that technology adoption patterns for emerging technologies do not always follow the traditional linear logic of technology fit. We find that emerging technologies are characterized by a dynamic interaction between technology push from a thriving ecosystem and market pull from companies exploring meaningful operational and business value using the concept of “use case.” Based on these findings, we contribute to the technology management literature with an alternative technology adoption framework for emerging “Industry 4.0” technologies.