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Open research questions in Technology Adoption and User Behaviour

588 unresolved questions extracted from the limitations and future-work sections of 3,575 Technology Adoption and User Behaviour papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • The study identifies the challenge of implementing adaptive resistance calibration options tailored to individual proficiency levels and fitness goals. The study notes the challenge of balancing the need for realistic resistance precision with the need to avoid excessive physical exertion for recreational users or beginners. The study highlights the challenge of treating resistance precision as a uniform requirement for all users.

    Understanding Consumer Engagement in Digital Sport Commerce: A Kano-SERVQUAL Evaluation of Interactive Features and Platform Quality · 2026 · DOI

  • There is a lack of understanding of which interactive elements consumers treat as baseline expectations versus genuine engagement drivers in digital sport commerce. The study aims to address this gap by evaluating the service quality of virtual cycling platforms using an integrated Kano-SERVQUAL model.

    Understanding Consumer Engagement in Digital Sport Commerce: A Kano-SERVQUAL Evaluation of Interactive Features and Platform Quality · 2026 · DOI

  • One challenge is the lack of formal training for teachers in using Distance Education. Another challenge is the difficulty in accessing the internet and lack of infrastructure for Distance Education. The study also notes the challenge of motivating students to use Distance Education.

    Italian in-training teachers: What influences their acceptance of Distance Education? · 2026 · DOI

  • further studies could investigate the factors influencing DE acceptance in different educational contexts, - research could explore the impact of formal training on DE acceptance, - studies could examine the relationship between DE acceptance and student outcomes

    Italian in-training teachers: What influences their acceptance of Distance Education? · 2026 · DOI

  • The Information Systems Success Model has yet to define the role of schemata clearly in online learning environments. There is a need to understand how schemata influence learners' ability to translate system use and satisfaction into equity-enabling benefits. The study identifies a gap in the literature regarding the role of schemata in supporting equity-related learning conditions in online learning.

    The role of schemata in the Information Systems Success Model in bridging online learning equity · 2026 · DOI

  • The study only examined the psychometric properties of two primary domains, - The sample size was limited to 220 students, - The study was conducted in a specific context (South African DE institution)

    Evaluating TAM validity and reliability in mobile learning for students with disabilities in South African distance education · 2026 · DOI

  • A critical review of the TAM among SwD in DE settings, - Further research on the acceptance of e-learning and m-learning among SwD, - Exploration of the structural realities of living with a disability and studying at a distance in South Africa

    Evaluating TAM validity and reliability in mobile learning for students with disabilities in South African distance education · 2026 · DOI

  • The study identifies a gap in understanding how university teachers' perceived GenAI competency is associated with their intention to continue using GenAI. The technology acceptance model has been primarily used to examine technology acceptance in general, but its application to GenAI in higher education is limited.

    Perceived GenAI competency and university teachers’ intention to continue using generative artificial intelligence: Extending the technology acceptance model · 2026 · DOI

  • The study identifies challenges in terms of individual livestreaming readiness, perceived technological feasibility, agricultural product-livestreaming fit, livestreaming ecosystem support, and perceived economic value. The study also notes the complexity of livestreaming operations and the need for training opportunities and platform and policy assistance.

    Determinants of farmers’ intention to adopt agricultural e-commerce livestreaming: a sequential mixed-methods study in Beijing · 2026 · DOI

  • The study identifies a gap in the understanding of the factors influencing farmers' willingness to adopt agricultural e-commerce livestreaming. Prior work has focused on the user-technology relationship, but the study extends this to an analytical relationship encompassing the producer-technology-product-channel-support environment.

    Determinants of farmers’ intention to adopt agricultural e-commerce livestreaming: a sequential mixed-methods study in Beijing · 2026 · DOI

  • Temporal ordering and causal direction remain unresolved - The cross-sectional design assessed utility judgments, IU, the two risk concerns, and use intention at a single point - The number of eligible students who received the invitation was not recorded, so a response rate could not be calculated

    Utility judgments, risk concerns, and generative AI use intention among first-year university students · 2026 · DOI

  • The existing literature often treats risk as a single broad construct, leaving unclear whether distinct risk concerns relate differently to use intention. There is a need to refine the application of TAM to generative AI in learning contexts. The study identifies a gap in the understanding of how utility judgments and risk concerns shape generative AI use intention among first-year university students.

    Utility judgments, risk concerns, and generative AI use intention among first-year university students · 2026 · DOI

  • The study identifies challenges in adapting to emerging AI technologies. The incorporation of PIIT and TRI elements poses challenges in terms of model complexity and interpretation. The study highlights the need for adaptive training programs and AI-driven infrastructure enhancements to address these challenges.

    Usage Intention of AI Among Academic Librarians in China: Extension of UTAUT Model · 2025 · DOI

  • The traditional UTAUT model has limited explanatory power in certain contexts. The study identifies a gap in understanding how individual traits and organizational factors influence AI adoption. The incorporation of PIIT and TRI elements addresses this gap.

    Usage Intention of AI Among Academic Librarians in China: Extension of UTAUT Model · 2025 · DOI

  • The study faces challenges in measuring adoption willingness, which is a difficult-to-observe variable. The research must address the heterogeneity of influences of different dimensions of capital endowment on technology adoption. The study needs to consider the varying effects of digital literacy across different technology types.

    Influence of Digital Literacy on Farmers’ Adoption Behavior of Low-Carbon Agricultural Technology: Chain Intermediary Role Based on Capital Endowment and Adoption Willingness · 2025 · DOI

  • the study only examines the impact of digital literacy on farmers' adoption of green production technologies in Shandong and Shaanxi provinces, - the sample size is limited to 643 farmers

    Impact of Digital Literacy on Farmers’ Adoption Behaviors of Green Production Technologies · 2025 · DOI

  • further exploration of the impact of digital literacy on farmers' adoption of green production technologies in other regions, - investigation of the effectiveness of different methods for improving digital literacy among farmers

    Impact of Digital Literacy on Farmers’ Adoption Behaviors of Green Production Technologies · 2025 · DOI

  • Moreover, future research could examine whether the associations of different compe- tency dimensions with continuance intention vary across disciplines, career stages, or institutional contexts.

    Perceived GenAI competency and university teachers’ intention to continue using generative artificial intelligence: Extending the technology acceptance model · 2026 · DOI

  • Generative artificial intelligence (GenAI) has rapidly transformed educational practices; however, existing research has predominantly focused on teachers and students, leaving the role of educational support personnel largely underexplored.

    Factors Influencing Educational Support Personnel’s Intention to Use Generative AI in Thailand’s Basic Education System: Cross-Sectional Correlational Study · 2026 · DOI

  • Future research should address the rapid technological and regulatory evolutions and explore the integration of cloud computing with sustainability initiatives to provide comprehensive insights into its business implications.

    Exploring The Effect of Cloud Computing on Firm Performance in the Digital Era: A Scoping Review · 2025 · DOI

  • Moreover, the specific influence of individual e-service quality dimensions on technology acceptance remains underexplored.

    From service to intention: A Technology Acceptance Model Perspective on E-Service Quality in Online Hotel Booking · 2025 · DOI

  • However, how digital literacy influences farmers’ technology adoption remains underexplored.

    Influence of Digital Literacy on Farmers’ Adoption Behavior of Low-Carbon Agricultural Technology: Chain Intermediary Role Based on Capital Endowment and Adoption Willingness · 2025 · DOI

  • Constructs such as scarcity, the need for uniqueness (NFU), fear of missing out (FoMO), and social comparison play a central role in influencing the intentions of younger consumers, yet their interactive effects remain underexplored.

    The impact of scarcity and uniqueness on luxury products purchasing intention moderated by FoMO and social comparison · 2025 · DOI

  • This research fills a gap in the literature by applying and extending established technology acceptance theories to the rural Vietnamese context, a population often overlooked in mainstream studies.

    Discovering how personal innovativeness drives digital banking usage in rural areas · 2025 · DOI

  • This study addresses a critical gap in the literature by examining how AI literacy interacts with the constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT)—Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions—to shape university students’ behavioral intentions to adopt AI technologies.

    Bridging AI literacy and UTAUT constructs: structural equation modeling of AI adoption among Chinese university students · 2025 · DOI

Most-cited papers in Technology Adoption and User Behaviour

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588 open questions have been extracted from the limitations and future-work passages of 3,575 Technology Adoption and User Behaviour papers in our 4.5M-paper local library. Each one below links back to the study that raised it, so you can read the original claim in context.

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