Cross-Cultural Similarity and Differences in Parents “Sharenting” Using Online Social Media from Information Privacy Perspective: The Case of Snapchat

Online communication using social networks represents a major risk for users in terms of information privacy. While the trend for social network use becomes more popular, it has already created new social risks in the form of information overuse such as sharenting. The term “sharenting” denotes the correlation between sharing and parenting and represents the overuse of parents’ efforts in distributing digital content about their children. To date, sharenting was not actively explored within the information research context and its risks to the user privacy, as well as demonstration of sharenting in various cultures. Therefore, the purpose of this paper is to provide a proposal for the cross-cultural study of sharenting from a privacy perspective using the context of the social network Snapchat

Technology humanness, trust and e-government adoption

With regards to technology adoption, users may be influenced by trust in two forms – human-like trust (e.g., benevolence, integrity, and ability) and system-like trust (e.g., helpfulness, reliability, and functionality). While the literature interestingly differentiates the use of these two types of trust, insufficient efforts have been devoted to examine and explain which type of trust should be used in the context of e-government. Additionally, when government agencies increasingly experience security breaches, insufficient literature examines how human-like trust and system-like trust may be influenced by such important antecedents as security threats and citizens’ security concerns in e-government settings. We propose a conceptual model to address this gap in the literature

Leveraging Communication Tools to Reduce Consumers’ Privacy Concern in the On-demand Services: An Extended S-O-R Model of Perceived Control and Structural Assurance

To use the on-demand services, consumers need to disclose themselves to some extent, which inevitably raises their privacy concerns. Different from previous literature exploring privacy assurance mechanisms, we employ the stimulus– organism–response framework to investigate how communication tools (environmental stimuli) influence consumers’ perceived control, structural assurance, as well as their service platform- and provider-related privacy concerns (organisms), which subsequently impact new consumers’ intention and regular consumers’ continuance intention to use the on-demand services (behavior responses). The models will be tested based on survey data collected from on-demand service consumers. The potential theoretical contributions and practical implications are discussed

Online Marketing Enterprise of Jombang Culinary From TAM and VEM Perspective on Social Media

The purpose of this research was to develop, evaluate, and test antecedent model with trust as an intermediary variable of Technology Acceptances Model (TAM) and Virtual Experiential Marketing (VEM) for buying intention. It used purposive sampling technique with 300 respondents. The questionnaire results were evaluated and analyzed using Structural Equation Model (SEM) method with the analysis tools (the third version of SmartPLS). The research result shows that there is no effect between TAM and trust. In addition, there is a direct and positive influence of VEM on trust. The trust and TAM have a positive effect on buying intention. However, VEM does not affect buying intention. The results indicate that the trust cannot mediate TAM and buying intention. Meanwhile, trust can mediate between VEM and buying intention

Can Conversational User Interfaces Be Harmful? The Undesirable Effects on Privacy Concern

Conversational user interfaces (CUI) enable real-time communication between the buyer and the seller in electronic commerce based on natural spoken or written language. Although first insights reveal that customers have privacy concerns with CUI that prevent them from adoption, online retailers have especially and increasingly implemented messaging services (e.g., live chats on websites) combined with artificial intelligence. Against this background, and drawing on information systems and consumer research, the current research investigates how the mere presence of messaging services on websites influences website users’ privacy concerns. The results of two online experiments reveal that the presence of CUI evokes perceptions of a social presence that translate into perceptions of being watched, thus positively influencing the privacy concern. The findings of this study extend the those of previous research by revealing that perceived social presence elicited by the presence of CUI also yields negative effects. Moreover, the literature on privacy concerns is enhanced by providing an explanation for the effects of social presence

Health-Seeking Behaviour and the use of Artificial Intelligence-based Healthcare Chatbots among Indian Patients

Artificial Intelligence (AI) based healthcare chatbots can scale up healthcare services in terms of diagnosis and treatment. However, the use of such chatbots may differ among the Indian population. This study investigates the influence of health-seeking behaviour and the availability of traditional, complementary and alternative medicine systems on healthcare chatbots. A quantitative study using a survey technique collects data from the Indian population. Items measuring the awareness of chatbot’s attributes and services, trust in the chatbots, health-seeking behaviour, traditional, complementary and alternative medicine, and use of chatbots are adapted from previous scales. A convenience sample is used to collect the data from the urban population. 397 samples were fetched, and statistical analysis was done. Awareness of the chatbot’s attributes and services impacted the trust in the chatbots. Health-seeking behaviour positively impacted the use of chatbots and enhanced the impact of trust of a chatbot on the use of a chatbot. Traditional, complementary and alternative medicine was not included in the chatbot, which negatively impacted the use of chatbots. At the same time, it dampened the impact of trust in chatbots on the use of chatbots. The study was limited to the urban population and a convenience sampling because of the need to use the Internet and a smart device for accessing the chatbots. The results of the study need to be used cautiously. The results can be inferred from the relationships’ existence rather than the impact’s magnitude. The study’s outcome encourages the availability of chatbots due to the health-seeking behaviour of the Indian urban population. The study also highlights the need for creating intelligent agents with knowledge of Traditional, complementary and alternative medicine. The study contributes to the knowledge of using chatbots in the Indian context. When earlier studies focus mainly on the chatbot features or user characteristics in the intention studies, this study looks at the healthcare system and the services unique to India

Is the Privacy Paradox a Matter of Psychological Distance? An Exploratory Study of the Privacy Paradox from a Construal Level Theory Perspective

Institutional operators in the digital marketplace have delighted consumers with precise, highly personalized and customized products and services through the collection and mining of customers’ personally identifiable data. However, the ethical conduct of online businesses continues to be a debatable issue, due to the increasing concerns over information privacy. Despite such controversies, scrutiny of consumer behavior has shown that consumers’ concerns for privacy do not transfer into protective behaviors or abstinence during online activity. The aim of this study is to illuminate the disparity known as the -˜privacy paradox’ through the directions of the construal level theory. Based on semi-structured interviews with 21 online shopping consumers, we explain that, due to spatial, temporal, social, and hypothetical distance of privacy values, privacy is construed as an abstract phenomenon influencing the formation of distant-future attitudes and intentions rather than actual behavior

Socially desirable responding within the context of privacy-related research:a personality perspective

Background: Socially desirable responding within the context of self-reported surveys is a well-known and persistent problem that plagues quantitative studies. Such forms of responding are particularly problematic within the context of personality-based studies that investigate privacy-related decision-making. In such instances, certain respondents may feel pressured to provide socially desirable responses, which reduces the overall quality of the collected data.Objectives: The objective of this study was to evaluate the extent to which the Big Five personality traits (openness, conscientiousness, extraversion, agreeableness and neuroticism) elicit socially desirable responses within the context of privacy-related decision-making.Method: To evaluate their hypotheses, the authors empirically situate their study within the context of respondents’ intended use of Facebook privacy settings. To this end, 576 survey responses were analysed using partial least squares structural equation modelling (PLS-SEM).Results: It was found that some personality traits were indeed significantly related to socially desirable responding – albeit not always as expected. For example, highly agreeable individuals were unlikely to provide socially desirable responses: choosing honest responses. Neuroticism, on the other hand, had the opposite effect.Conclusion: Based on the results, the authors conclude that neurotic individuals seem predisposed towards responding in a socially desirable manner within the context of privacy-related surveys. The authors, therefore, advise researchers within the field of privacy-based personality studies to take care when analysing their results

Customers Awareness on Green-Based Practicess Empirical Study on Service Industries In Indonesia

Current research is aimed at exploring the consequences of green based implementation in service industries in Indonesia. This study postulated eight hypotheses. A-survey questionnaire-based was used to collect data from Indonesia services industries, this study use the information multi-sources, data such as opinions, ideas, attitude, experiences, individual and group characters are becoming research subjects.  Empirical model with five exogenous variables and one endogenous required 490 samples with 27 parameters. Determining sampling measurement, Proportional samples was taken on service industries in Indonesia. Purposive sampling with non-probability sampling or judgmental was deployed to gain the data. SEM With Amos 24 statistical software was used to analyze data. Statistical outputs demonstrated that seven hypotheses proposed were accepted but the impact of green image on green purchase intention was rejecte