Cultural Differences and Technology Acceptance: A Comparative Study

Uğur, Naciye Güliz

doi:10.17349/jmc117310

Cited by 7 publications

(12 citation statements)

References 27 publications

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“…The findings of Kunze et al (2013) at least show that older employees were less resistant towards IT innovations than their younger colleagues. Similarly, differences in social and national culture were also shown to influence individual working in companies and their responses to innovations (Jassawalla and Sashittal 2002;Uğur 2017). The amount of initial resistance generated and thus the probability that a mandated usage transforms into forced adoption might principally be much higher in countries like Greece with high uncertainty avoidance (Tsatsou 2012) compared to countries like Denmark with low uncertainty avoidance (Peters and Den Dulk 2003).…”

Section: Addressing Research Gaps Related To Boundary Conditionsmentioning

confidence: 99%

Consequences of mandated usage of innovations in organizations: developing an innovation decision model of symbolic and forced adoption

Heidenreich

Talke

2020

AMS Rev

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In organizations, mandated adoption contexts are the rule rather than the exception. Individuals, who are denied the choice between adopting and rejecting an innovation, are more likely to engage in opposition behavior, particularly if the innovation conflicts with their held beliefs. Interestingly, neither the construct of forced adoption nor its consequences have received much research attention. To address this gap, we conduct a systematic literature review and provide theoretical rationales for the emergence of innovation resistance and opposition behaviors in organizations. We then develop an innovation decision model of individual adoption behavior that localizes negative outcomes of the secondary adoption process along the different process stages, providing insights into their emergence and potential consequences for the organization. Furthermore, we identify important avenues for future research and show how our innovation decision model can be used to advance theory development on forced adoption.

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Section: Addressing Research Gaps Related To Boundary Conditionsmentioning

confidence: 99%

Consequences of mandated usage of innovations in organizations: developing an innovation decision model of symbolic and forced adoption

Heidenreich

Talke

2020

AMS Rev

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“…In addition, most studies have focused on technology transfer into developed countries, with the common assumption that the technology will be suitable, without considering cultural and social values that influence acceptance. Several researchers have noted that cultural background plays an essential role in the acceptance and use of technology [23], [24].…”

Section: A E-health In Jordan As a Developing Countrymentioning

confidence: 99%

“…Moreover, it has been explained that users from different countries will have variations in culture. A distinctive national culture is expected to be able to explain differences in the adoption of technologies [23], [24]. Indeed, previous studies have revealed that technology acceptance models and theories may not be applicable to various cultures because they have generally been developed in developed countries.…”

Section: A E-health In Jordan As a Developing Countrymentioning

confidence: 99%

Propose Model for Consumers’ Perceptions and Acceptance of e-Health Systems and Services in Jordan

Alifan¹,

Makhtar²,

El-Ebiary³

2020

IJETT

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E-health can improve health-care quality and reduce health costs. However, few studies have addressed the antecedent factors that influence health-care consumers' acceptance of and intentions to use e-Health systems and services, which is called health web-based systems and services (HWBSS) in this study, especially in developing countries such as Jordan. Furthermore, it has been claimed that technology acceptance theories and models do not fit equally across cultures. Therefore, the main objective of this study is to empirically investigate the factors that influence patients' perceptions and acceptance of e-Health systems and services in Jordan. It does so by extending the technology acceptance model (TAM) to include three other variables (privacy, trust and perceived empowerment) and cultural variables as a moderator, forming the basis for a future in-depth and expanded study. The proposed research model was built on the literature review presented here. A reliability analysis through a pilot study was performed to check its internal consistency using Cronbach's alpha. The instrument was reviewed by a panel of experts in order to validate its content. The results of the pilot study verified the feasibility of conducting a full-scale investigation and can be used to help refine the instrument. The outcomes demonstrate that the model is highly reliable and has a positive impact on patients' attitudes to using e-Health systems and services.

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“…A country’s cultural values influence technology acceptance [ 13 ]. Although the TAM has been used extensively when studying information technology adoption in Western countries, researchers noted that the TAM was not valid when applied to other cultures [ 13 , 20 ]. The UTAUT model was tested in non-Western cultures such as in Saudi Arabia [ 21 ], India [ 22 ], and China as compared to the United States [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

“…Among these models, Hofstede and Minkov [ 25 ] provided detailed guidelines to explain and measure cultural value differences applied to national culture. To date, these cultural dimensions have been the most commonly used variables for examining models cross-culturally [ 13 , 20 , 24 , 26 ]. McCoy et al [ 27 ] conducted a simple analysis of variance for each of Hofstede and Minkov’s [ 25 ] cultural dimensions measured at the individual level across 8 countries.…”

Section: Introductionmentioning

confidence: 99%

Wearable Technology Acceptance in Health Care Based on National Culture Differences: Cross-Country Analysis Between Chinese and Swiss Consumers

Meier¹,

Barthelmess²,

Sun³

et al. 2020

J Med Internet Res

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Background The advancement of wearable devices and growing demand of consumers to monitor their own health have influenced the medical industry. Health care providers, insurers, and global technology companies intend to develop more wearable devices incorporating medical technology and to target consumers worldwide. However, acceptance of these devices varies considerably among consumers of different cultural backgrounds. Consumer willingness to use health care wearables is influenced by multiple factors that are of varying importance in various cultures. However, there is insufficient knowledge of the extent to which social and cultural factors affect wearable technology acceptance in health care. Objective The aims of this study were to examine the influential factors on the intention to adopt health care wearables, and the differences in the underlying motives and usage barriers between Chinese and Swiss consumers. Methods A new model for acceptance of health care wearables was conceptualized by incorporating predictors of different theories such as technology acceptance, health behavior, and privacy calculus based on an existing framework. To verify the model, a web-based survey in both the Chinese and German languages was conducted in China and Switzerland, resulting in 201 valid Chinese and 110 valid Swiss respondents. A multigroup partial least squares path analysis was applied to the survey data. Results Performance expectancy (β=.361, P<.001), social influence (β=.475, P<.001), and hedonic motivation (β=.111, P=.01) all positively affected the behavioral intention of consumers to adopt wearables, whereas effort expectancy, functional congruence, health consciousness, and perceived privacy risk did not demonstrate a significant impact on behavioral intention. The group-specific path coefficients indicated health consciousness (β=.150, P=.01) as a factor positively affecting only the behavior intention of the Chinese respondents, whereas the factors affecting only the behavioral intention of the Swiss respondents proved to be effort expectancy (β=.165, P=.02) and hedonic motivation (β=.212, P=.02). Performance expectancy asserted more of an influence on the behavioral intention of the Swiss (β=.426, P<.001) than the Chinese (β=.271, P<.001) respondents, whereas social influence had a greater influence on the behavioral intention of the Chinese (β=.321, P<.001) than the Swiss (β=.217, P=.004) respondents. Overall, the Chinese consumers displayed considerably higher behavioral intention (P<.001) than the Swiss. These discrepancies are explained by differences in national culture. Conclusions This is one of the first studies to investigate consumers’ intention to adopt wearables from a cross-cultural perspective. This provides a theoretical and methodological foundation for future research, as well as practical implications for global vendors and insurers developing and promoting health care wearables with appropriate features in different countries. The testimonials and support by physicians, evidence of measurement accuracy, and easy handling of health care wearables would be useful in promoting the acceptance of wearables in Switzerland. The opinions of in-group members, involvement of employers, and multifunctional apps providing credible health care advice and solutions in cooperation with health care institutions would increase acceptance among the Chinese.

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Cultural Differences and Technology Acceptance: A Comparative Study

Cited by 7 publications

References 27 publications

Consequences of mandated usage of innovations in organizations: developing an innovation decision model of symbolic and forced adoption

Consequences of mandated usage of innovations in organizations: developing an innovation decision model of symbolic and forced adoption

Propose Model for Consumers’ Perceptions and Acceptance of e-Health Systems and Services in Jordan

Wearable Technology Acceptance in Health Care Based on National Culture Differences: Cross-Country Analysis Between Chinese and Swiss Consumers

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