Does privacy assurance on social commerce sites matter to millennials?

https://doi.org/10.1016/j.ijinfomgt.2018.10.016Get rights and content

Highlights

  • Perceived effectiveness of privacy policy and industry self-regulation may directly influence consumers’ trust.

  • Institutional privacy assurance positively influences institutional-based trust.

  • Institutional-based trust affects online social interactions, increasing intention to purchase a product on s-commerce.

  • Theoretical development of this research contributes to marketing and information systems disciplines in social media era.

Abstract

Social commerce (s-commerce) has become increasingly impactful to e-commerce and has generated potential economic benefits. With the rise of online privacy concerns, we have seen the need to explain how concerns about privacy affect consumers’ social interaction behavior and purchase decision-making on s-commerce sites. Synthesizing the privacy-trust-behavioral intention (PTB) and consumer decision-making models, this study proposes a comprehensive model by specifically refining its privacy and trust from an institutional perspective and investigating the influences of social interaction on purchase intention and actual purchase behaviors. Our results found that institutional privacy assurance positively influences institutional-based trust, which, in turn, affects online social interactions, and consequently increases the likelihood of product purchases on s-commerce sites. Theoretical development of this research contributes to both marketing and information systems disciplines in the social media era.

Introduction

Social commerce (s-commerce) has become increasingly impactful on e-commerce and has generated significant economic benefits. However, consumers’ privacy concerns that arise from online transactions and social interactions on shopping websites are increasingly growing. In fact, the Marketing Science Institute’s Research Priorities (2016–2018) consider privacy concerns such an import issue in online business that they call for further research in the field. This phenomenon is becoming increasingly worse as s-commerce sites integrate tools to enable interaction and socialization between peers (i.e., social networking features, recommendation systems, rating options, discussion boards, etc.) with commercial features (Huang & Benyoucef, 2013). S-commerce sites have been considered a new business model, shifting from a product orientation to a social- and consumer-driven orientation (Huang & Benyoucef, 2013), by utilizing a variety of Web 2.0 technologies to enhance social interactions among consumers in online environments (Liang & Turban, 2011). It is more based on social media and social media has created more opportunities for firms (Confos & Davis, 2016). Although s-commerce has become increasingly impactful to e-commerce and has generated potential economic benefits, it has been plagued by rising consumer privacy concerns.

The new design features, such as referrals, recommendations, crowdsourcing, and subscriptions embedded on s-commerce sites have become a threat to personal privacy as well as an impediment to consumer engagement. Evidence from two reports in 2012 show that, with concerns about personal privacy, 75% of the consumers on Pinterest (one of the most popular s-commerce sites in the U.S.) hesitate to purchase products after discovering them on the site (Caine, 2012); only 8% of consumers feel extremely safe buying products or services through social networking sites (SNS) (CNBC, 2012). Privacy risk and interpersonal impression have been highlighted as the most interesting research topics in the field of social media (Shiau, Dwivedi, & Lai, 2018). Indeed, privacy concern has been identified as a major factor restraining e-commerce (Berendt, Günther, & Spiekermann, 2005; Dinev & Hart, 2006) and social networking sites (Belanger, Hiller, & Smith, 2002; Shin, 2010). However, according to some recent reviews of the literature on social commerce (Lin, Li, & Wang, 2017; Zhang & Benyoucef, 2016; Zhou, Zhang, & Zimmermann, 2013), although trust has been extensively studied, there is insufficient research into privacy issues. In this regard, a closer examination of the impact of privacy concerns is needed to understand how consumer trust and engagement can be constructed to facilitate purchase decisions in s-commerce environments.

Prior research into s-commerce has focused on the new design features and mechanisms of s-commerce sites (Ahmad & Laroche, 2017; Curty & Zhang, 2013; Huang & Benyoucef, 2013; Kim & Park, 2013; Lin et al., 2017; Zhang & Wang, 2012). The design features of s-commerce in terms of transactional, relational, and social emphases have the potential to increase consumer participation, reshape companies’ business and marketing strategies, and, particularly, to strengthen customer and merchant ties through relational features (Curty & Zhang, 2013). Meanwhile, several studies have examined how purchase intention can be increased on s-commerce sites by social and relational aspects of s-commerce, such as social support and relationship quality (e.g. Liang, Ho, Li, & Turban, 2011; Zhang, Lu, Gupta, & Zhao, 2014; Bai, Yao, & Dou, 2015), social presence (Zhang et al., 2014), social factors (Huang & Benyoucef, 2017), social desire (Ko, 2018), degree of friendship (Li, Liang, & Li, 2018), and closeness (Ng, 2013). Although these studies provide new insights into how consumers engage on s-commerce sites with technical and social aspects, they have major limitations because consumer privacy concerns are not fully taken into consideration. There is a paucity of research focusing on privacy concern issues in the context of s-commerce (Zhang & Benyoucef, 2016).

Privacy assurance is one of the most important features of social networking and s-commerce sites (Bansal, Zahedi, & Gefen, 2015; James, Warkentin, & Collignon, 2015). In fact, researchers call for research into privacy and risk concerns, recommending government agencies to keep users informed and give them control in order to avoid theses privacy concerns (see literature review of social media of Kapoor et al., 2018). Typically, online service providers use privacy statements and privacy seals to facilitate consumers’ trust and their willingness to make online purchases (Kim, Ferrin, & Rao, 2008; Kim, Steinfield, & Lai, 2008). Consumers hesitate to disclose their personal information during shopping because privacy assurance within s-commerce sites is often not expected or is undefined (Dwyer, 2007). Without privacy protection mechanisms and regulations built for ensuring online privacy and security, s-commerce practitioners will struggle to sustain active consumer engagement in online settings (Kim, Ferrin et al., 2008, 2008b) and find it difficult to translate consumer interactions into sales growth and business values (Yadav, De Valck, Hennig-Thurau, Hoffman, & Spann, 2013). Social media has the potential to improve customers’ experiences, to strengthen bonds among users and the company and to foster customer evangelization through word-of-mouth (AlAlwan, Rana, Dwivedi, & Algharabat, 2017). However, little is known about whether consumers using s-commerce sites will make an actual purchase decision if their privacy can be protected effectively by s-commerce sites’ privacy policies or other third-party regulations (Bansal et al., 2015).

To close this research gap, we aim to provide new insight into the privacy management and complex purchase-decision-making process in s-commerce environments by understanding consumers’ privacy concerns from their root causes. Therefore, this study set out to answer the following research question: How does institutional-based privacy assurance influence consumers’ trust and social interaction and purchase behavior in the context of s-commerce?

Expanding on the privacy-trust-behavioral intention model developed by Liu, Marchewka, Lu, and Yu, (2005), we posit that enhancing the effectiveness of privacy management could accelerate consumers’ trust toward s-commerce sites and thereby increase their behavioral intentions and actual behaviors. Specifically, we examine how institutional privacy assurance (i.e., privacy policies and industry self-regulation) affects consumers’ trust toward s-commerce sites and how such a trust facilitates pre-purchase activities (i.e., word-of-mouth communication and observing other consumers’ purchases) and purchase intentions, which in turn increases the likelihood of actual purchase. Due to the vast majority of s-commerce audience being young consumers, this study has been conducted studying millennial behavior.

This study aims to make the following contributions: First, it widens privacy-trust research in the s-commerce context. Second, it considers a broad view of social interactions by studying not only word-of-mouth valence and content, but also the passive observation of learning interactions. Third, it extends the Privacy-Trust-Behavior model, analyzing how institutional privacy assurance increases users’ trust toward s-commerce websites, what positively affects social interactions and, consequently, users’ purchase intention and actual purchase behavior. Finally, rather than merely examining consumers’ behavioral intentions, our study investigates consumers’ actual purchase behavior. This provides further insight into the consumer decision-making process in s-commerce sites.

Section snippets

Social commerce context

S-commerce websites have been described as a mixture of electronic commerce, social media and social networks cues (Liang & Turban, 2011; Lu & Fan, 2014; Turban et al., 2018). Thereby, s-commerce has been defined as “any commercial activities facilitated by or conducted through broad social media and Web 2.0 tools in consumers’ online shopping process or business’ interactions with their customers” (Lin et al., 2017, p. 191). Thus, regarding s-commerce features focus, these kinds of websites

Research model

As the main goal of this study is to understand how consumers’ privacy concerns can affect their trust and intentions, we employ the privacy-trust-behavioral intention (PTB) model (Liu et al., 2005) as the theoretical foundation for this study. This model has its roots in the theory of reasoned action (TRA), which contends that behavioral intentions are antecedents to specific individuals’ behaviors and that individuals’ attitudes and perceptions will influence their actions when they believe

Research context

S-commerce websites can be designed under two approaches: (1) incorporating commercial features into social networking sites (Lin et al., 2017; Ng, 2013; Zhang & Benyoucef, 2016); and (2) adding social networking features to traditional e-commerce sites that promotes the overall transactions through social interactions (Aswani, Kar, Ilavarasan, & Dwivedi, 2018; Huang & Benyoucef, 2013; Liang & Turban, 2011; Zhang et al., 2014). S-commerce sites can also be grouped into several categories,

Results

The partial least squares (PLS) technique was employed to test the research model (Richard & Chebat, 2016). Previous research has indicated that PLS has more power in maximizing variance explained than covariance-based SEM methods (Gefen, Straub, & Rigdon, 2011). This study intends to explain variance in consumer perception toward s-commerce sites and their social behaviors. We thus believe that PLS is suitable to analyze data in this study. Data analysis proceeded in two stages: the

Discussion

S-commerce has increasingly attracted many researchers’ attention in both information systems and marketing fields. Evidence from previous studies indicates that social shopping is potentially risky, and therefore trust towards s-commerce sites may be necessary for consumers to keep them engaging in social interaction activities as well as in transactions (Huang & Benyoucef, 2013; Preibusch et al., 2016). Despite its importance for s-commerce prosperity, discussion on consumers’ privacy

Limitations, suggestions for future research, and conclusion

This study has some limitations that may create interesting opportunities for future research. First, this study employs college students as the research sample. Although students may represent a large portion of the online shopper population, there is still a need to use other populations of s-commerce to better generalize our research findings to s-commerce consumers. Future research may assess potential difference among age groups, with a more representative sample. For instance, older

Acknowledgements

The authors are grateful for the financial support of the Government of Aragon and the European Social Fund (“GENERES” Group S-54) and the Spanish Ministry of Economy and Competitiveness and FEDER (project ECO2015-64567-R).

References (114)

  • C. Dellarocas et al.

    Exploring the value of online product reviews in forecasting sales: The case of motion pictures

    Journal of Interactive Marketing

    (2007)
  • W. Duan et al.

    The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry

    Journal of Retailing

    (2008)
  • A. Ginosar et al.

    An analytical framework for online privacy research: What is missing?

    Information & Management

    (2017)
  • N. Hajli et al.

    S-commerce: The transfer of power from sellers to buyers

    Technological Forecasting and Social Change

    (2015)
  • T. Hennig-Thurau et al.

    Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet?

    Journal of Interactive Marketing

    (2004)
  • X. Hu et al.

    The effects of web assurance seals on consumers’ initial trust in an online vendor: A functional perspective

    Decision Support Systems

    (2010)
  • Z. Huang et al.

    From e-commerce to s-commerce: A close look at design features

    Electronic Commerce Research and Applications

    (2013)
  • Z. Huang et al.

    User preferences of social features on s-commerce websites: An empirical study

    Technological Forecasting and Social Change

    (2015)
  • Z. Huang et al.

    The effects of social commerce design on consumer purchase decision-making: An empirical study

    Electronic Commerce Research and Applications

    (2017)
  • T.L. James et al.

    A dual privacy decision model for online social networks

    Information & Management

    (2015)
  • K. Kim et al.

    Third-party privacy certification as an online advertising strategy: An investigation of the factors affecting the relationship between third-party certification and initial trust

    Journal of Interactive Marketing

    (2011)
  • S. Kim et al.

    Effects of various characteristics of s-commerce (s-commerce) on consumers’ trust and trust performance

    International Journal of Information Management

    (2013)
  • D.J. Kim et al.

    A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents

    Decision Support Systems

    (2008)
  • D.J. Kim et al.

    Revisiting the role of web assurance seals in business-to-consumer electronic commerce

    Decision Support Systems

    (2008)
  • E. Kim et al.

    Brand followers’ retweeting behavior on Twitter: How brand relationships influence brand electronic word-of-mouth

    Computers in Human Behavior

    (2014)
  • R.A. King et al.

    What we know and don’t know about online word-of-mouth: A review and synthesis of the literature

    Journal of Interactive Marketing

    (2014)
  • H.C. Ko

    Social desire or commercial desire? The factors driving social sharing and shopping intentions on social commerce platforms

    Electronic Commerce Research and Applications

    (2018)
  • X. Lin et al.

    Social commerce research: Definition, research themes and the trends

    International Journal of Information Management

    (2017)
  • C. Liu et al.

    Beyond concern: A privacy-trust-behavioral intention model of electronic commerce

    Information & Management

    (2005)
  • B. Lu et al.

    Social presence, trust, And S-commerce purchase intention: An empirical research

    The 18th Pacific Asia Conference on Information Systems, PACIS

    (2014)
  • X. Luo

    Trust production and privacy concerns on the internet: A framework based on relationship marketing and social exchange theory

    Industrial Marketing Management

    (2002)
  • S. Mamonov et al.

    Exploring factors affecting social e-commerce service adoption: The case of facebook gifts

    International Journal of Information Management

    (2017)
  • K. Martin

    The penalty for privacy violations: How privacy violations impact trust online

    Journal of Business Research

    (2018)
  • C.L. Miltgen et al.

    Exploring information privacy regulation, risks, trust, and behavior

    Information & Management

    (2015)
  • C.S. Ng

    Intention to purchase on s-commerce websites across cultures: A cross-regional study

    Information & Management

    (2013)
  • E.W. Ngai et al.

    Social media research: Theories, constructs, and conceptual frameworks

    International Journal of Information Management

    (2015)
  • P. Panagiotopoulos et al.

    A framework of social media engagement: Case studies with food and consumer organisations in the UK and Ireland

    International Journal of Information Management

    (2015)
  • S. Preibusch et al.

    Shopping for privacy: Purchase details leaked to PayPal

    Electronic Commerce Research and Applications

    (2016)
  • M. Richard et al.

    Modeling online consumer behavior: Preeminence of emotions and moderating influences of need for cognition and optimal stimulation level

    Journal of Business Research

    (2016)
  • E.W. See-To et al.

    Value co-creation and purchase intention in social network sites: The role of electronic word-of-mouth and trust—A theoretical analysis

    Computers in Human Behavior

    (2014)
  • S. Sharma et al.

    Disclosing too much? Situational factors affecting information disclosure in s-commerce environment

    Electronic Commerce Research and Applications

    (2014)
  • W.-L. Shiau et al.

    Examining the core knowledge on facebook

    International Journal of Information Management

    (2018)
  • D. Shin

    The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption

    Interacting With Computers

    (2010)
  • G.L. Urban et al.

    Online trust: State of the art, new frontiers, and research potential

    Journal of Interactive Marketing

    (2009)
  • L.R. Vijayasarathy

    Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model

    Information & Management

    (2004)
  • D. Albarracin et al.

    Theories of reasoned action and planned behavior as models of condom use: A meta-analysis

    Psychological Bulletin

    (2001)
  • A. Bandura et al.

    Social learning theory

    (1977)
  • A.V. Banerjee

    A simple model of herd behavior

    The Quarterly Journal of Economics

    (1992)
  • H.S. Bansal et al.

    Word-of-mouth processes within a services purchase decision context

    Journal of Service Research

    (2000)
  • G. Bansal et al.

    The role of privacy assurance mechanisms in building trust and the moderating role of privacy concern

    European Journal of Information Systems

    (2015)
  • Cited by (129)

    View all citing articles on Scopus
    View full text