Analyzing the Users’ Acceptance of an IoT Cloud Platform Using the UTAUT/TAM Model

Robles-Gómez, Antonio; Tobarra, Llanos; Vargas, Rafael; Hernández, Roberto; Haut, Juan M.

doi:10.1109/access.2021.3125497

Cited by 23 publications

(16 citation statements)

References 64 publications

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“…5. Integration with Other Systems [49], [50]: Seamless integration with other educational systems and platforms can enhance the tool's overall utility, positively influencing perceived usefulness.…”

Section: Perceived Usefulnessmentioning

confidence: 99%

Tech-Driven Transformation: Innovative Pricing Strategies for E-Learning

Setiawan,

Putranto,

Wihendro

et al. 2024

IEEE Access

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E-Learning has undergone a transformative evolution in recent years, driven by the profound impact of the Covid-19 pandemic and the convergence of technological advancements. It has shifted from being a supplemental option to a fundamental component in the global education landscape, impacting learners from the earliest stages of schooling to advanced academia. This article delves into the ongoing research aimed at developing a price calculator program to establish cost guidelines for online courses. The process, guided by the Indonesia Cyber Education Institute (ICE-I), is meticulously explored, from its conceptualization to prototype development. This research employs a qualitative approach based on the Technology Acceptance Model (TAM) to investigate the validity and significance of critical claims associated with E-Learning. Through workshops and focus group discussions, it becomes evident that perceived ease of use, perceived usefulness, and intention to use are interconnected factors influencing technology adoption. These findings collectively contribute to a deeper comprehension of the dynamics of E-Learning, effective research project management, and the significance of user-friendly tools in education. The collaborative efforts showcased in these interactions hold the potential to propel advancements in online education and pricing strategies. Moreover, the educational landscape has been permanently reshaped, necessitating the integration of E-Learning into the academic sphere. The research contributions, guided by TAM, offer valuable insights for educational institutions seeking to expand their online course offerings while aligning with evolving student needs. The meetings served as the cornerstone of a collaborative research endeavor, illuminating the evolution of discussions and tasks over time. The Focus Group Discussions (FGD) provided invaluable insights into the changing E-Learning landscape, emphasizing affordability and adaptability. The E-Learning Pricing Calculator emerged as a user-friendly and valuable tool, positively influencing users' attitudes and intentions to use it. Additionally, external variables played a pivotal role in shaping users' decision-making processes.

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Section: Perceived Usefulnessmentioning

confidence: 99%

Tech-Driven Transformation: Innovative Pricing Strategies for E-Learning

Setiawan,

Putranto,

Wihendro

et al. 2024

IEEE Access

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“…The Technology Acceptance Model (TAM), developed by Davis et al (1989) based on the TRA, predicts individuals' attitudes toward adopting new technologies. TAM has been applied to various contexts, including digital technology in education (Scherer et al, 2019), IoT cloud platforms (Robles-Go´mez et al, 2021), online shopping (Gefen et al, 2003), mobile payments (Sleiman et al, 2021), and virtual reality/augmented reality sports experiences (K. Lee & Oh, 2022).…”

Section: Utaut Applied To Transportation Research and Ecsmentioning

confidence: 99%

“…Understanding how individuals will react to a new mode of transportation and what motivates their behavioral intention (BI) is crucial to successful implementation. Two widely recognized models for comprehending BI (Robles-Go´mez et al, 2021) are the Technology Acceptance Model (TAM; Davis et al, 1989) and the UTAUT (Venkatesh et al, 2003). Factors such as expectations, perceived advantages, ease of use (in TAM and UTAUT), and the social impact of technology implementation (in UTAUT) have been shown to explain BI.…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing University Students’ Behavioral Intention to Use Electric Car-Sharing Services in Guangzhou, China

Yu,

Zhang,

Teoh

et al. 2023

SAGE Open

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Along with reducing traffic congestion, electric car-sharing (ECS) can also solve travel demand, utilize idle resources, and enhance forms of transportation. Accordingly, university students are identified in Guangzhou, China as a promising customer group for ECS companies. Although university students in Guangzhou, China are unique in the context of ECS, few researchers have studied the factors that influence their willingness to use such services. Hence, this paper investigates the key determinants that affect university students’ behavioral intention (BI) to use ECS in Guangzhou, China. Based on an extension of the unified theory of acceptance and use of technology (UTAUT), this paper examines the effects of the constructs on BI to use ECS and the moderating role of trust in ECS. Based on results from a questionnaire of 486 university students in Guangzhou, China, conditional value (CV) was the most critical driver of BI, followed by personal attitude (PA) and sustainability (SUST). The moderating analysis showed that taking gender, education, and driving experience of university students as control variables, trust was found to have a significant positive moderating impact on the relationship between PA and BI to use ECS, and a significant negative moderating effect of trust on the relationship between CV and BI to use ECS. The implications of these findings are discussed.

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“…It uses the delta model to classify scholarly journals and highlight the ever‐changing nature of technological advances. Each technology follows a standard development path, beginning with theoretical concepts, transitioning to empirical methods and industry applications, and finally implementing frameworks such as UTAUT or TAM for adoption (Robles‐Gomez et al, 2021). Take virtual reality (VR), for example, which only began to take shape in 2018 but swiftly flourished into a practical tool used across various industries by 2020.…”

Section: A Descriptive Review Of the Literaturementioning

confidence: 99%

An overview of the consumer‐centric disruptive technology research: Insights from topic modelling and literature review

Beheshti

Zareravasan

Mahdiraji

et al. 2023

J of Consumer Behaviour

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This review aims to assess the most prevalent disruptive technologies of the past decade and evaluate them from a dual perspective. This study utilises the technology life cycle framework to classify disruptive technologies into three phases, (i) emerging, (ii) industry, and (iii) customer‐focused research outcomes. Subsequently, entities using six thematic categories via topic modelling are assessed to determine the research trajectory about customers, industries, and theory. The present study utilises the Latent Dirichlet Allocation framework for topic modelling, a quantitative tool that employs advanced statistical methodology to extract semantic knowledge from large text corpora. This approach offers a more comprehensive and insightful categorisation of information compared to traditional research review models such as archive review, meta‐review analysis, and systematic literature review. After the review, over 750 articles were analysed and classified according to their unique themes and technological emphasis. The study suggests practical applications that could enhance industrial progress through disruptive technology. Furthermore, by identifying gaps, the authors suggest multiple research prospects for forthcoming investigations on disruptive technologies and their impact on consumer behaviour. This research is novel in various aspects. This research is by far the only research record in the last decade that provides a systematic literature review of disruptive technologies with an extensive focus on customers. Considering the methodological perspective, this research uses topic modelling as a new literature review model, enabling analysing more research outputs and yielding more valuable findings than traditional methodologies.

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Analyzing the Users’ Acceptance of an IoT Cloud Platform Using the UTAUT/TAM Model

Cited by 23 publications

References 64 publications

Tech-Driven Transformation: Innovative Pricing Strategies for E-Learning

Tech-Driven Transformation: Innovative Pricing Strategies for E-Learning

Factors Influencing University Students’ Behavioral Intention to Use Electric Car-Sharing Services in Guangzhou, China

An overview of the consumer‐centric disruptive technology research: Insights from topic modelling and literature review

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