Cultural differences in the effects of contextual factors and privacy concerns on users’ privacy decision on social networking sites

Li, Yao; Rho, Eugenia Ha Rim; Kobsa, Alfred

doi:10.1080/0144929x.2020.1831608

Cited by 30 publications

(14 citation statements)

References 71 publications

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“…Also, information processing in cognitive decisions makes decisions about the use of digital technology prepared by the institution and determines the amount of institutional support for the lecturer [18]; [13]. In making decisions using digital technology, the lecturer cognition works to have commitment, solve digital technology problems, and ask if problems are using digital technology for institutional members who understand digital technology [19].…”

Section: Theoretical Reviewmentioning

confidence: 99%

Lecturers’ Reasoning in Using Digital Technology: A Cognitive Approach in Learning Process

Mardiana

2023

ATHENA

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This research aims to investigate the reasoning of lecturers in using digital technology and its impact on cognitive approaches. Moreover, we find out the lecturer's use of digital technology in the learning process and determine the reasoning relationship between the use of digital technology and cognition. Problems occurred during the COVID-19 pandemic, where many lecturers needed to be stronger in digital mastering technology and low in its use. Some lecturers think that WhatsApp is online learning, where online learning requires interaction and not just sending news or subjects. Furthermore, many students feel pressured to be taught by lecturers like this, so several classes are closed because there are no students. This study used a mixed-method approach with 109 respondents. Data collection uses a questionnaire distributed through Google Forms, and the qualitative data uses interviews with eight respondents. The results show that 50.5% of respondents can use digital technology, and 49.5% must learn, practice, and receive digital technology training. Furthermore, this research implies that lecturers with critical thinking can quickly master digital technology and simultaneously teach fellow lecturers to use digital technology

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Section: Theoretical Reviewmentioning

confidence: 99%

Lecturers’ Reasoning in Using Digital Technology: A Cognitive Approach in Learning Process

Mardiana

2023

ATHENA

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“…Prior research suggests that cultural differences may affect what people perceive as private and lead to different levels of privacy concern (Bellman et al, 2004;Milberg et al, 2000;Pavlou, 2011). For example, Li et al (2022) found that users in individualistic and collectivistic cultural contexts have different privacy concerns. In particular, individualistic users are more concerned with factual information, while collectivistic users place more importance on controlling unwanted social networking sites (SNSs) contacts and judging the information shared by others.…”

Section: Online Information Disclosure Intentionmentioning

confidence: 99%

“…However, for users in individualistic societies, privacy settings seem to be less important. Besides, Li et al (2022) examined cultural differences in the effects of contextual factors and privacy concerns on users' privacy decisions on SNSs and found that users' privacy concerns in individualistic and collectivistic cultures are different. Specifically, users from individualistic cultures are concerned with factual information, while users from collectivistic cultures are concerned with controlling unwanted SNS connections and judging the information shared by others.…”

Section: Cultural Backgroundmentioning

confidence: 99%

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Factors influencing users' online information disclosure intention and the moderating effect of cultural background and platform type

Wang

Zhao

Zhou

et al. 2022

AJIM

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PurposeOnline platforms are providing diversified and personalized services with user information. Users should decide if they should give up parts of information for convenience, with their information being at the risk of being illegally collected, leaked, spread and misused. This study aims to explore the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust, and the authors extend previous research with two moderators.Design/methodology/approachBased on 48 independent empirical studies, this paper conducted a meta-analysis to synthesize existing results from collected individual studies. This meta-analysis explored the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust.FindingsThe meta-analysis results based on 48 independent studies revealed that perceived benefit, trust, subjective norm and perceived behavioral control have significant positive effects, while perceived privacy risk and privacy concern have significant negative effects. Moreover, cultural background and platform type moderate the relationship between antecedents and online information disclosure intention.Originality/valueThis paper explored the moderating effects of an individual factor and a platform factor on users' online information disclosure intention. The moderating effect of cultural differences is examined with Hofstede's dimensions, and the moderating role of the purpose of online information disclosure is examined with platform type. This study extends online information disclosure literature with a multi-perspective meta-analysis and provides guidelines for practitioners.

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“…Likewise, recent studies on AV deployment in relation to cyber challenges tend to focus on specific locations, so their findings may not be applicable to other parts of the world where AV technologies are rapidly developing. The contextual influence and focus of privacy concerns differ between individualistic and collectivistic countries 19 . Thus, it remains unexplored how consumers' worries about AV cyber obstacles vary in the context of various countries with distinct cultural traditions.…”

Section: Introductionmentioning

confidence: 99%

A multinational empirical study of perceived cyber barriers to automated vehicles deployment

Khan

Shiwakoti

Stasinopoulos

et al. 2023

Sci Rep

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The digital transformation of Automated Vehicles (AVs) has raised concerns in the cyber realm among prospective AV consumers. However, there is a dearth of empirical research on how cyber obstacles may impact the operation of AVs. To address this knowledge gap, this study examines the six critical cyber impediments (data privacy, AV connectivity, ITS infrastructure, lack of cybersecurity regulations, AV cybersecurity understanding, and AV cyber-insurance) that influence the deployment of AVs. The impact of gender, age, income level, and individual AV and cybersecurity knowledge on these obstacles are statistically assessed using a sample of 2061 adults from the United States, the United Kingdom, New Zealand, and Australia. The research revealed intriguing empirical findings on all cyber barriers in the form of a trichotomy: participants' education level, understanding of AVs, and cybersecurity knowledge. As education levels increase, the significance of a cyber barrier to AV deployment decreases; however, as AV comprehension and cybersecurity knowledge increase, the perception of a cyber barrier becomes significantly more important. In addition, the study demonstrates differences in perceptions of cyber barriers and AV deployments based on gender, age, income, and geographic location. This study's findings on cyber barriers and AV deployment have implications for academia and industry.

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Cultural differences in the effects of contextual factors and privacy concerns on users’ privacy decision on social networking sites

Cited by 30 publications

References 71 publications

Lecturers’ Reasoning in Using Digital Technology: A Cognitive Approach in Learning Process

Lecturers’ Reasoning in Using Digital Technology: A Cognitive Approach in Learning Process

Factors influencing users' online information disclosure intention and the moderating effect of cultural background and platform type

A multinational empirical study of perceived cyber barriers to automated vehicles deployment

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