Electronic Commerce Research and Applications
Disclosing too much? Situational factors affecting information disclosure in social commerce environment
Introduction
Social networks, such as Facebook, Twitter, and Pinterest, have changed the way people communicate. Social networks are also changing the nature of online shopping and purchase interaction (Teh and Ahmed, 2011). The evolution of social networks along with web and mobile technologies has provided an unprecedented opportunity for people to engage in online and social commerce activities, including online shopping and purchases (Teh and Ahmed, 2011). What once was limited to buying and selling through a website with no sharing of purchase habits or social influence from other buyers has now changed to include constant feedback, reviews and recommendations from other customers. Customers are no longer passive information takers and often influence the purchasing behavior of other shoppers (Hajli, 2012, Kim and Srivastava, 2007). Self-disclosure has become an integral part of online activities (Krasnova et al., 2009) and plays an important role in the maintenance of personal relationships (Collins and Miller, 1994, Morry, 2005) and privacy (Trepte and Reinecke, 2010). As such, the impact of self-disclosure in the social commerce environment is immense as social commerce involves the sharing of personal information.
Social commerce has no precise definition as it means different things to different people. Generally, it is defined as a subset of electronic commerce that involves using social networks to support social interaction for the online buying and selling of products and services. Social media provides an avenue for individuals to share their purchasing story which influences others to engage in social commerce (Mangold and Faulds, 2009). For this study, social commerce is defined as the use of social media and web 2.0 technologies to assist consumers in their acquisition decision of products and services within online market places (Huang and Benyoucef, 2013). However, the opportunity to engage in social interaction as part of the purchasing process comes with certain risks. If the disclosure of personal information is a problem in eCommerce transactions, this risk is further increased in a social commerce environment where there is constant interchange and use of information between users and sellers. In a social commerce transaction, the users buy and suggest products, share preferences and purchasing habits, and most importantly let the social networks collect, store and use personal information such as physical addresses, emails, pictures, ‘likes’, social security numbers, and credit card numbers.
The popularity of online social networks has increased the popularity of social commerce as it now drives the purchasing decision of the majority of buyers (Kim and Srivastava, 2007). The extant use of social commerce brings attention to the increasing information privacy concerns of customers (Cortez and David, 2013) and their limited willingness and ability to protect personal information upfront (Dinev and Hart, 2006, Malhotra et al., 2004). Such perceived privacy risk, often defined as risk assumed by consumers when marketers attempt to collect, use, and distribute information (Federal Trade Commission, 1998), highly determines a user’s willingness to disclose information in an online transaction (Xu et al., 2011). Despite increased awareness of the risks associated with the disclosure of personal information in social commerce transactions (Madden, 2012), consumers are still providing “too much personal information” during such transactions (Gross and Acquisti, 2005, Reynolds et al., 2011). Thus, the concept of information security is an oxymoron as users may have the intention to self-disclose personal details (Kirkpatrick, 2011) despite having higher level of privacy concern (Reynolds et al., 2011). A consumer’s contradictory action of sharing personal information despite having a higher level of privacy concern is often based on the cost and benefit analysis of such activities (Culnan and Armstrong, 1999, Dinev and Hart, 2006). Such costs may include the risks of unauthorized usage of personal information or privacy intrusion and the benefits of enjoyment or usefulness to a shopper.
Besides the cost-benefit analysis, it is equally important to understand how privacy apathy, which implies indifference towards privacy concerns due to the belief that there is no such thing as privacy in the age of web 2.0 technologies, affects users’ disclosure of information. This can be aptly summarized by the United States Senate majority leader Harry Reid’s now famous advice regarding the National Security Agency’s (NSA) PRISM program to “just calm down and understand that this isn’t anything that is brand new” (Goitein, 2013). When users believe that their personal information is already with third parties or will be with third parties no matter what, they would put a lower value and price to it and may have a higher intention to disclose it online (Yoo et al., 2012) in return for some benefits. Also, when users have perceived ownership, which implies a sense of possession and entitlement (Furby, 1978) towards the information they share in social commerce transactions, it creates a sense of attachment (Feuchtl and Kamleitner, 2009) and thus, a hesitation to share such information.
Users may also look at the fairness of information exchange in a social commerce transaction. When a social commerce transaction involves unwanted storage of personal information, sharing of irrelevant personal information, or surveillance of other internet habits, the users perceive a higher risk in such a transaction. Drawing on the Perceived Fairness in Exchange Theory (Stone, 1981), this study has proposed perceived surveillance, perceived linkage and perceived relevance as the three major dimensions affecting a user’s perceived privacy risk.
The significance of this study lies in the fact that users share vast amounts of information during a social commerce transaction despite having privacy concerns. Such contradictory actions of sharing personal information despite privacy concerns can be seen from the 100,000 tweets, 684,478 Facebook posts and 3600 Instagram photos shared every minute (Bennett, 2012). Similarly, 55% of those who engage in social commerce self-disclose their information and experience (Bennett, 2012). Thus, it is important to understand factors that motivate users’ intention to self-disclose personal information amid privacy risk.
In this paper, we focus on the intention of information disclosure during web-based social commerce transactions and the antecedents affecting this decision. It is important to distinguish between web-based social commerce and social commerce through mobile devices, as mobile devices create exponentially greater privacy risks and benefits (Keith et al., 2012, Awad and Krishnan, 2006), through the use of location based services, global positioning systems and applications. Investigating the web-based social commerce behavior, this paper contributes in understanding the impact of privacy apathy, perceived ownership, perceived fairness, and risks and benefits on intention to voluntarily disclose information. In the process, this paper seeks to answer the following research questions:
- 1.
How do perceived apathy and perceived ownership affect intention to voluntarily disclose information?
- 2.
What is the impact of the perceived fairness of information exchange on perceived privacy risk and intention to voluntarily disclose information?
Section snippets
Literature review
Social commerce is a form of commerce mediated by social media that allow individuals to purchase, sale, compare, and share products and services in online and offline marketplaces (Wang and Zhang, 2012). It has rapidly emerged as an area of interest among researchers and practioners, suggesting the dependence on social networks and media in shaping commercial channels (Zhou et al., 2013). While the rise of social commerce in recent years has resulted in an increase in research focusing on this
Theoretical framework
The core of the conceptual model underlying the present study, as shown in Fig. 1, is drawn primarily from the Communication Privacy Management (CPM) theory proposed by Petronio (2002). CPM defines self-disclosure as a dialectical process where an individual is constantly balancing the act of disclosing and concealing personal information (Petronio, 2002, Petronio, 2007). The CPM theory has been previously used to test the role of factors such as ownership of information (Child and Petronio,
Methodology
An online questionnaire survey was developed to collect data and perform an empirical test of the relationships as suggested by the research model presented in Fig. 1. The respondents were provided the survey link and could complete the survey at any place where they have access to the internet. The survey was available for fourteen days. SmartPLS and AMOS were used for measurement validation and to test the structural model. This section will present the details of the instrument development
Data analysis
The research model for this study has nine constructs with behavioral intention to engage in voluntarily disclosure of information in a social commerce environment as the dependent variable. This portion of the paper discusses the data analysis techniques used in this study.
Key findings
In a social network, users usually like to control when, how, and to what extent their personal information is seen by others. A higher privacy risk prompts a user to lower the level of information disclosure during a transaction or event. Similar to previous studies (Malhotra et al., 2004, Li et al., 2010), this study also found perceived privacy risks have a negative impact on a consumer’s mentality to voluntarily share information during social commerce transactions. All three dimensions of
Conclusion
The increasing use of social networking has increased the popularity of social commerce. People are buying and selling their products and services through social networks. This has brought increased attention to privacy concerns such as identity theft, credit card fraud, unauthorized sharing and the use of customer’s purchasing history and personal information. Thus, it is important to understand what motivates people to disclose their personal information. This may be a subject of interest to
References (137)
Relationship marketing in consumer markets: a comparison of managerial and consumer attitudes about information privacy
Journal of Interactive Marketing
(1997)- et al.
Future directions for behavioral information security research
Computers and Security
(2013) - et al.
Acceptance of blog usage: the roles of technology acceptance, social influence and knowledge sharing motivation
Information and Management
(2008) - et al.
From e-commerce to social commerce: a close look at design features
Electronic Commerce Research and Applications
(2013) Under what conditions will social commerce business models survive?
Electronic Commerce Research and Applications
(2013)- et al.
Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance
International Journal of Information Management
(2013) - et al.
The role of affect and cognition on online consumers’ decision to disclose personal information to unfamiliar online vendors
Decision Support Systems
(2011) - et al.
An investigation of user attitudes toward search engines as an information retrieval tool
Computers in human behavior
(2003) - et al.
Exploring the impact of use context on mobile hedonic services adoption: an empirical study on mobile gaming in China
Computers in Human Behavior
(2011) - et al.
Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory
Computers in Human Behavior
(2009)