Evaluation of the intention of using products with internet of things within the context of technology acceptance model

Pazvant, Ece; Faiz, Emel

doi:10.17261/pressacademia.2018.806

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…The research tests different environmental, societal, and technological barriers to develop the framework and extend the use of TAM. TAM has been adopted and raised from many perspectives by various researchers, such as Arias-Oliva, Pelegrín-Borondo [135], and Tan and Sundarakani [136] (blockchain technology in the management), Agustina, Suprianto [137], Pazvant and Emel [138], and Liu, Li [139] (behavioural intentions regarding internet of things in adopting new devices and technologies), and Verma, Bhattacharyya [140], and Soon, Lee [141] (big data usage).…”

Section: Theoretical Implicationsmentioning

confidence: 99%

Barriers to Applying Last-Mile Logistics in the Egyptian Market: An Extension of the Technology Acceptance Model

Sultan,

Kramberger,

Barakat

et al. 2023

Sustainability

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Drawing on the Technology Acceptance Model (TAM), this research aims to investigate the impact of social, environmental, and technological barriers on adopting the last-mile logistics application. This research used a self-administrative questionnaire to collect 1060 respondents from the Egyptian market and analysed it using partial least square structural equation modeling. The findings revealed that some elements could obstruct the implementation of last-mile delivery technologies, namely complexity, collaboration efforts between users and application developers and the impact of technical knowledge and expertise on the potentially involved users. The sharing economy helps organisations reduce contaminants, emissions and carbon footprints, and last-mile logistics is one of the tools of the sharing economy that can enhance the productivity and competitiveness of logistics and boost consumer fulfillment. This research will help enhance organisations’ performance in Egypt as a developing country and push towards applying environmental sustainability practices, as it introduces a tool to enhance customer satisfaction and reduce emissions by illustrating how last-mile logistics can be implemented. This is particularly important as last-mile logistics face some implementation barriers, especially in developing countries. In addition, it will help in extending the theory through conceptualising its abstract ideas with the research variables and applying it in a different context.

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Section: Theoretical Implicationsmentioning

confidence: 99%

Barriers to Applying Last-Mile Logistics in the Egyptian Market: An Extension of the Technology Acceptance Model

Sultan,

Kramberger,

Barakat

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…An individual's attitude might shift throughout time based on his or her past experiences and current circumstances. According to the research of Pazvant and Faiz (2018), this influences the propensity to act in a particular way. According to a plethora of studies, one's disposition has a direct and substantial impact on one's behavioral intention to use (BIU) a given e-application (Moon and Kim, 2001; Zheng and Li, 2020).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Toward a cashless society: assessing the acceptance of Bahrain BenefitPay using TAM and SEM

Al-Bastaki

2023

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Purpose The purpose of this paper is to explore how the technology acceptance model (TAM) and structural equation modeling (SEM) might be used to assess customer acceptance of financial apps aiming at paving the road for enabling a cashless society in the Kingdom of Bahrain. Design/methodology/approach Using a convenience sample of 600 users of the BenefitPay app in the Kingdom of Bahrain, this study used the quantitative research approach to obtain 427 usable responses. Following a descriptive study to establish a framework for the data and a subsequent inferential analysis using SEM with confirmatory factor analysis, the research hypotheses were tested. Findings The results of this study back up what is claimed in the TAM theory literature, which shows that banking customers in the Kingdom of Bahrain who use e-payment methods are more likely to use BenefitPay if it is both easy to use and useful. BenefitPay systems behavioral intention to use was also highly influenced by aspects like ease of use and usefulness, which enable the development of cashless societies. Research limitations/implications This research work contribution is described through exploring how a cashless society is developed using electronic apps by studying the case of the Kingdom of Bahrain. The Kingdom of Bahrain is unique, and hence the knowledge obtained from studying it cannot be applied mechanically to any other nation. Instead, the paper seeks to explain the motivations behind Bahrain’s move toward a cashless society, to analyze the difficulties and potential benefits of this transition and to spark much-needed conversations on how having less cash or none would affect the economies. Bahrain’s BenefitPay systems can be seen as a current pushing force toward cashless society; thus, understanding how people in the Kingdom of Bahrain adopt e-payment techniques is vital. Originality/value The TAM conceptual model is experimentally validated in this study using cutting-edge methods like SEM with value creation for banking sector management, making it stand out from similar research. This research may prove useful in laying the groundwork for a cashless society in the Kingdom of Bahrain by analyzing the key elements that affect the BenefitPay app.

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“…Di tahun 2018, dipublikasikan sebuah penelitian tentang aplikasi TAM pada teknologi IoT [41]. Penelitian tersebut mengevaluasi tujuan penggunaan produk IoT dengan TAM.…”

Section: B Technology Acceptance Modelunclassified

Technology Acceptance Model (TAM) For Smart Lighting System in XYZ Company

Laksana

Suwastika

Makky

2022

JNTETI

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This research was conducted to identify and measure the significance of the factors or variables that influence technology acceptance for a smart lighting system built based on the internet of things (IoT) and artificial intelligence (AI) technology implemented in XYZ company. The smart lighting system implemented was a dedicated smart lighting system for office space (more than 20 m2 to 60 m2) to sense the conditions and make automatic adjustments to room conditions. Before mass production, the smart lighting system would be reviewed for its technology acceptance by users using the technology acceptance technology model (TAM). TAM is a method used to identify factors that affect the technology acceptance based on the functionality of the smart lighting system. Based on the smart lighting purposes and conditions from the XYZ company, six variables influencing the acceptance of smart lighting systems, namely reliability and accuracy (RA), perceived ease of use (PEOU), perceived usefulness (PU), attitude toward using (ATU), behavior intention (BI), and actual system use (AU) were proposed. These variables influenced each other and formed eight hypotheses, namely H1, H2, H3, H4, H5, H6, H7, and H8. Using the purposive sampling technique, validity test with product-moment correlation, and Cronbach’s alpha validity test, five hypotheses had a positive and significant effect, namely H1, H4, H5, H6, and H7. The RA variable influenced the PU variable, the PU variable influenced the ATU variable, the PEOU variable affected the ATU variable, the ATU variable influenced BI, and the PU variable affected BI. Meanwhile, the three hypotheses had negative and insignificant impacts, namely H2, H3, and H8. The RA variable did not affect the PEOU, the PEOU variable did not affect the PU, and the BI variable did not affect the AU variable.

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Evaluation of the intention of using products with internet of things within the context of technology acceptance model

Cited by 5 publications

References 5 publications

Barriers to Applying Last-Mile Logistics in the Egyptian Market: An Extension of the Technology Acceptance Model

Barriers to Applying Last-Mile Logistics in the Egyptian Market: An Extension of the Technology Acceptance Model

Toward a cashless society: assessing the acceptance of Bahrain BenefitPay using TAM and SEM

Technology Acceptance Model (TAM) For Smart Lighting System in XYZ Company

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