Using technology acceptance models for product development

Diamond, Lisa; Busch, Marc; Jilch, Valentin; Tscheligi, Manfred

doi:10.1145/3236112.3236175

Cited by 10 publications

(12 citation statements)

References 14 publications

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“…Our results are in line with previous research (Pan et al, 2018). Privacy has a direct relationship with technology adoption that proved, by numerous researchers (Diamond et al, 2018;Hossain et al, 2019), the impact of privacy on acceptance and usage of medical assistive technologies. The possible explanation of the current finding is that African expats are more concerned about the confidentiality of their health record and treatment.…”

Section: Discussionsupporting

confidence: 93%

Investigating Factors Impelling the Adoption of e-Health: A Perspective of African Expats in China

et al. 2019

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The purpose of the study was to analyze the factors affecting the acceptance and adoption of e-Health applications among African expats in China from the patient’s perspective. This research used extended technology acceptance model (TAM) with the addition of privacy and trust. The survey method with the structured questionnaire was used to collect data from more than 300 African expats in three Tier 1 cities of China. Hypotheses were tested using partial least squares (PLS) method, a structural equation modeling (SEM) based statistical technique. The results show that perceived usefulness, perceived ease of use (PEU), and privacy have significant effects on intention to use (INT) e-Health technologies. Moreover, PEU endorses positive impact on perceived usefulness. The results also revealed that gender was partially associated with the acceptance and use of e-Health technologies. However, surprisingly, trust had an insignificant effect on INT of e-Health. The results of the current research provide the foundation for the development of policies and strategies for the enhancement of e-Health services to African expats in China. Moreover, the acceptance model of current study can be modified easily because of its generic approach for the investigation of adoption of e-Health services among other developing countries’ expats in China.

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Section: Discussionsupporting

confidence: 93%

Investigating Factors Impelling the Adoption of e-Health: A Perspective of African Expats in China

et al. 2019

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“…In contrast with participants in factor 1, participants in this factor displayed more trust in digital platforms (statements 35,36,42,43). For example, participant 38 responded to statement 42:…”

Section: Factor 2: I Welcome Technology To Strengthen My Sense Of Purpose and Am Not Worried About My Personal Datamentioning

confidence: 92%

“…The latter category of literature is on factors that hinder technology adoption. Diamond and her colleagues [42] proposed using trustworthiness factors (e.g., privacy, security, reliability expectation) and self-compatibility factors (e.g., actual self, ideal self) to probe into attitudes on potential technology adoption. Hence, the researchers incorporated these dimensions to complement the psychological benefits to tourists (e.g., "I hope technology can show me how my journey made me a better person"; "I want to know the privacy risk involved when I am using travel technology").…”

Section: Statements On Technology-mediated Positive Tourism Experiences: the Q Setmentioning

confidence: 99%

“…The top-ranked statements expressed how much the participants wanted to be informed of the details and the potential uses of their personal data made available to service providers (statements 36,43,35,42,32). A participant made the following comment: I will be worried about data breaches when I need to provide my ID, phone number, and other personal information online.…”

Section: Factor 4: Do Not Misuse My Personal Data or I Will Kick You Away My Privacy Is Most Important To Mementioning

confidence: 99%

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Illuminating Opportunities for Smart Tourism Innovation That Foster Sustainable Tourist Well-Being Using Q Methodology

Wan

Onuike

2021

Sustainability

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Technology innovation has become one of the driving forces that advance the tourism industry, but the industry has yet to account for the manner in which personal technologies can foster tourists’ sustainable well-being. Generating innovation that promotes the sustainable well-being of individuals is deemed to be challenging because the experience needs to account for users’ psychological well-being and their attitudes towards technology. A holistic apprehension of these needs, which requires multidisciplinary perspectives, can help designers to identify design spaces for further design investigations at the fuzzy front-end of innovation. Hence, the goal of this study is to identify design opportunities for smart tourism innovation that foster sustainable tourist well-being by using Q methodology to gather participants’ attitudes on the future use of such technology. The study involved 43 participants ranking 46 statements derived from the extant literature. The results show four opinion clusters related to the optimal use of personal technologies for sustainable tourist well-being. These clusters, which highlight both hedonic and eudaimonic user experience considerations, provide directions for designers for developing innovations that promote well-being. Recommendations of using Q as an exploratory design research method are discussed.

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“…UTAUT and UTAUT2 have been used in a wide variety of studies to predict usage behavior or assess usage intention of information technology. Examples include two-factor authentication [6], smart payment cards [12], internet of things [19], gaming [24,27], Egovernment [16], social media [39,47] and robotic technology [43]. More recent researches [48,49] have shown that constructs and determinants of usage intention have changed with time and advancement in IT.…”

Section: Related Workmentioning

confidence: 99%

ITEval

Xinli

El-Said

Leidig

2020

Proceedings of the 21st Annual Conference on Information Technology Education

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We present a framework of an integrated model, referenced as ITEval, to comprehensively assess and quantitatively compare products of information technology. In this model, we assume that the adoption of technology by an organization is determined by user's willingness to use it, the total cost to own it and its environmental influence. Approaches to quantifying these factors are discussed. Different methods are proposed to analyze and integrate these determinants for assessment and comparison. An example study is employed to demonstrate its application.

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Using technology acceptance models for product development

Cited by 10 publications

References 14 publications

Investigating Factors Impelling the Adoption of e-Health: A Perspective of African Expats in China

Investigating Factors Impelling the Adoption of e-Health: A Perspective of African Expats in China

Illuminating Opportunities for Smart Tourism Innovation That Foster Sustainable Tourist Well-Being Using Q Methodology

ITEval

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