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Some things are just better rich: how social commerce feature richness affects consumers’ buying intention via social factors

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Abstract

The social commerce discipline has produced several different social commerce features that can be integrated into e-commerce platforms. Thereby, it is assumed that using multiple social commerce features in combination can better stimulate consumers’ social interactions. Yet, little is known about the effects of such strategies. This paper introduces the concept of social commerce feature richness and investigates its effects on consumers’ buying intention via social factors. The results of a controlled online experiment, in which 237 participants used variants of an e-commerce platform with functionally diverse social commerce feature sets, confirm that the social commerce feature richness positively affects social factors, which increase consumers’ buying intention. With the social commerce feature richness, we provide a novel, theoretically grounded and empirically verified concept to better understand how the use of functionally richer sets of social commerce features can maximize the success of social commerce initiatives.

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References

  • Ahn, J.-H., & Lee, J. (2012). Attention to banner ads and their effectiveness: An eye-tracking approach. International Journal of Electronic Commerce, 17(1), 119–137.

    Google Scholar 

  • Amblee, N., & Bui, T. (2011). Harnessing the influence of social proof in online shopping: The effect of electronic word of mouth on sales of digital microproducts. International Journal of Electronic Commerce, 16(2), 91–113.

    Google Scholar 

  • Animesh, A., Pinsonneault, A., Sung-Byung, Y., & Wonseok, O. (2011). An odyssey into virtual worlds: Exploring the impacts of technological and spatial environments on intention to purchase virtual products. MIS Quarterly, 35(3), 789–810.

    Google Scholar 

  • Argo, J. J., Dahl, D. W., & Manchanda, R. V. (2005). The influence of a mere social presence in a retail context. Journal of Consumer Research, 32(2), 207–212.

    Google Scholar 

  • Baethge, C., Klier, J., & Klier, M. (2016). Social commerce – State-of-the-art and future research directions. Electronic Markets, 1–22.

  • Baethge, C., Klier, J., Klier, M., & Lindner, G. (2017). Customers’ influence makes or breaks your brand’s success story–accounting for positive and negative social influence in online customer networks. In Proceedings of the 38th International Conference on Information Systems (ICIS), Seoul, South Korea.

  • Bai, Y., Yao, Z., & Dou, Y.-F. (2015). Effect of social commerce factors on user purchase behavior: An empirical investigation from renren.Com. International Journal of Information Management, 35(5), 538–550.

    Google Scholar 

  • Ballantine, P. W., & Au Yeung, C. (2015). The effects of review valence in organic versus sponsored blog sites on perceived credibility, brand attitude, and behavioural intentions. Marketing Intelligence & Planning, 33(4), 508–521.

    Google Scholar 

  • Ballantine, P. W., & Stephenson, R. J. (2011). Help me, I'm fat! Social support in online weight loss networks. Journal of Consumer Behaviour, 10(6), 332–337.

    Google Scholar 

  • Baumeister, R. F., & Leary, M. R. (1995). The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin, 117(3), 497–529.

    Google Scholar 

  • Bearden, W. O., Netemeyer, R. G., & Teel, J. E. (1989). Measurement of consumer susceptibility to interpersonal influence. Journal of Consumer Research, 15(4), 473–481.

    Google Scholar 

  • Benlian, A., Titah, R., & Hess, T. (2012). Differential effects of provider recommendations and consumer reviews in E-commerce transactions: An experimental study. Journal of Management Information Systems, 29(1), 237–272.

    Google Scholar 

  • Brengman, M., & Karimov, F. P. (2012). The effect of web communities on consumers' initial trust in B2C e-commerce websites. Management Research Review, 35(9), 791–817.

    Google Scholar 

  • Cenfetelli, R. T., & Bassellier, G. (2009). Interpretation of formative measurement in information systems research. MIS Quarterly, 33(4), 689–707.

    Google Scholar 

  • Chen, J. V., Su, B. C., & Widjaja, A. E. (2016). Facebook c2c social commerce: A study of online impulse buying. Decision Support Systems, 83, 57–69.

    Google Scholar 

  • Chen, Y.-C., Shang, R.-A., & Kao, C.-Y. (2009). The effects of information overload on consumers’ subjective state towards buying decision in the internet shopping environment. Electronic Commerce Research and Applications, 8(1), 48–58.

    Google Scholar 

  • Chen, Y., & Xie, J. (2008). Online consumer review: Word-of-mouth as a new element of marketing communication mix. Management Science, 54(3), 477–491.

    Google Scholar 

  • Cheung, C. M. K., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461–470.

    Google Scholar 

  • Cheung, C. M. K., Xiao, B. S., & Liu, I. L. B. (2014). Do actions speak louder than voices? The signaling role of social information cues in influencing consumer purchase decisions. Decision Support Systems, 65, 50–58.

    Google Scholar 

  • Chin, W. W. (1998). Issues and opinion on structural equation modeling. MIS Quarterly, 22, VII–XVI.

    Google Scholar 

  • Chwelos, P., Benbasat, I., & Dexter, A. S. (2001). Research report: Empirical test of an EDI adoption model. Information Systems Research, 12(3), 304–321.

    Google Scholar 

  • Cobb, S. (1976). Social support as a moderator of life stress. Psychosomatic Medicine, 38(5), 300–314.

    Google Scholar 

  • Crocker, J., & Canevello, A. (2008). Creating and undermining social support in communal relationships: The role of compassionate and self-image goals. Journal of Personality & Social Psychology, 95(3), 555–575.

    Google Scholar 

  • Croson, R., & Gneezy, U. (2009). Gender differences in preferences. Journal of Economic Literature, 47(2), 448–474.

    Google Scholar 

  • Curty, R., & Zhang, P. (2013). Website features that gave rise to social commerce: A historical analysis. Electronic Commerce Research and Applications, 12(4), 260–279.

    Google Scholar 

  • Cyr, D. (2008). Modeling web site design across cultures: Relationships to trust, satisfaction, and e-loyalty. Journal of Management Information Systems, 24(4), 47–72.

    Google Scholar 

  • Cyr, D., Hassanein, K., Head, M., & Ivanov, A. (2007). The role of social presence in establishing loyalty in e-service environments. Interacting with Computers, 19(1), 43–56.

    Google Scholar 

  • Cyr, D., Head, M., Larios, H., & Pan, B. (2009). Exploring human images in website design: A multi-method approach. MIS Quarterly, 33(3), 539–566.

    Google Scholar 

  • Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32, 554–571.

    Google Scholar 

  • DeLone, W. H., & McLean, E. R. (2004). Measuring e-commerce success: Applying the delone & mclean information systems success model. International Journal of Electronic Commerce, 9(1), 31–47.

    Google Scholar 

  • Deutsch, M., & Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology, 51(3), 629–636.

    Google Scholar 

  • Ding, C., Cheng, H. K., Duan, Y., & Jin, Y. (2017). The power of the "like" button: The impact of social media on box office. Decision Support Systems, 94, 77–84.

    Google Scholar 

  • Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. Akron, USA: University of Akron Press.

    Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

    Google Scholar 

  • Friedrich, T. (2016). On the factors influencing consumers’ adoption of social commerce – A review of the empirical literature. Pacific Asia Journal of the Association for Information Systems, 8(4), 1–31.

    Google Scholar 

  • Friedrich, T., Overhage, S., & Schlauderer, S. (2016). The more the better? Exploring the relationship between social commerce feature intensity, social factors, and consumers’ buying behavior. Paper presented at the proceedings of the 37th international conference on information systems (ICIS), Dublin, Ireland,

  • Fulk, J., Steinfield, C. W., Schmitz, J., & Power, J. G. (1987). A social information processing model of media use in organizations. Communication Research, 14(5), 529–552.

    Google Scholar 

  • Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.

    Google Scholar 

  • Gefen, D., & Straub, D. (2003). Managing user trust in B2C e-services. e-Service Journal, 2(2), 7–24.

    Google Scholar 

  • Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(1), 1–77.

    Google Scholar 

  • Grange, C., & Benbasat, I. (2010). Online social shopping: The functions and symbols of design artifacts. In Proceedings of the 43rd Hawaii International Conference on System Sciences (HICSS).

  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152.

    Google Scholar 

  • Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433.

    Google Scholar 

  • Hajli, N. (2016). Ethical environment in the online communities by information credibility: A social media perspective. Journal of Business Ethics, 2016, 1–12.

    Google Scholar 

  • Hajli, N., & Sims, J. (2015). Social commerce: The transfer of power from sellers to buyers. Technological Forecasting and Social Change, 94, 350–358.

    Google Scholar 

  • Hassanein, K., & Head, M. (2005). The impact of infusing social presence in the web interface: An investigation across product types. International Journal of Electronic Commerce, 10(2), 31–55.

    Google Scholar 

  • Hassanein, K., & Head, M. (2007). Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. International Journal of Human-Computer Studies, 65(8), 689–708.

    Google Scholar 

  • Hausman, A. V., & Siekpe, J. S. (2009). The effect of web interface features on consumer online purchase intentions. Journal of Business Research, 62(1), 5–13.

    Google Scholar 

  • Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20.

    Google Scholar 

  • House, J. S. (1981). Work stress and social support. Reading, USA: Addison-Wesley.

    Google Scholar 

  • Hsiao, K. L., Chuan-Chuan Lin, J., Wang, X. Y., Lu, H. P., & Yu, H. (2010). Antecedents and consequences of trust in online product recommendations. Online Information Review, 34(6), 935–953.

    Google Scholar 

  • Huang, K.-Y., Nambisan, P., & Uzuner, Ö. (2010). Informational support or emotional support: Preliminary study of an automated approach to analyze online support community contents. In Proceedings of the 31st International Conferences on Information Systems (ICIS), St. Louis, USA.

  • Huang, Z., & Benyoucef, M. (2013). From E-commerce to social commerce: A close look at design features. Electronic Commerce Research and Applications, 12(4), 246–259.

    Google Scholar 

  • Huang, Z., & Benyoucef, M. (2015). User preferences of social features on social commerce websites: An empirical study. Technological Forecasting and Social Change, 95, 57–72.

    Google Scholar 

  • Huang, Z., & Benyoucef, M. (2017). The effects of social commerce design on consumer purchase decision-making: An empirical study. Electronic Commerce Research and Applications, 25, 40–58.

    Google Scholar 

  • Jahng, J., Jain, H., & Ramamurthy, K. (2007). Effects of interaction richness on consumer attitudes and behavioral intentions in E-commerce: Some experimental results. European Journal of Information Systems, 16(3), 254–269.

    Google Scholar 

  • Kamis, A., Koufaris, M., & Stern, T. (2008). Using an attribute-based decision support system for user-customized products online: An experimental investigation. MIS Quarterly, 32(1), 159–177.

    Google Scholar 

  • Kim, J., & Lee, J. (2002). Critical design factors for successful e-commerce systems. Behaviour & Information Technology, 21(3), 185–199.

    Google Scholar 

  • Kim, Y. A., & Srivastava, J. (2007). Impact of social influence in E-Commerce decision making. In D. Sarppo (Ed.), Proceedings of the 9th International Conference on Electronic Commerce (ICEC).

  • King, R. A., Racherla, P., & Bush, V. D. (2014). What we know and don't know about online word-of-mouth: A review and synthesis of the literature. Journal of Interactive Marketing, 28(3), 167–183.

    Google Scholar 

  • Kuan, K. K. Y., Zhong, Y., & Chau, P. Y. K. (2014). Informational and normative social influence in group-buying: Evidence from self-reported and eeg data. Journal of Management Information Systems, 30(4), 151–178.

    Google Scholar 

  • Kumar, N., & Benbasat, I. (2002). Para-social presence: A re-conceptualization of 'social presence' to capture the relationship between a web site and her visitors. In Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS).

  • Kumar, N., & Benbasat, I. (2006). Research note: The influence of recommendations and consumer reviews on evaluations of websites. Information Systems Research, 17(4), 425–439.

    Google Scholar 

  • Kwahk, K.-Y., & Ge, X. (2012). The effects of social media on E-Commerce: A perspective of social impact theory. In R. H. Sprague (Ed.), Proceedings of the 45th Hawaii International Conference on System Sciences (HICSS).

  • Latané, B. (1981). The psychology of social impact. American Psychologist, 36(4), 343–356.

    Google Scholar 

  • Lee, H. H., & Jin Ma, Y. (2012). Consumer perceptions of online consumer product and service reviews. Journal of Research in Interactive Marketing, 6(2), 110–132.

    Google Scholar 

  • Lee, J., Park, D.-H., & Han, I. (2008). The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7(3), 341–352.

    Google Scholar 

  • Lee, M. K. O., Shi, N., Cheung, C. M. K., Lim, K. H., & Sia, C. L. (2011). Consumer's decision to shop online: The moderating role of positive informational social influence. Information & Management, 48(6), 185–191.

    Google Scholar 

  • Lengel, R. H., & Daft, R. L. (1988). The selection of communication media as an executive skill. The Academy of Management Executive (1987–1989), 2(3), 225–232.

    Google Scholar 

  • Liang, T.-P., Ho, Y.-T., Li, Y.-W., & Turban, E. (2011). What drives social commerce: The role of social support and relationship quality. International Journal of Electronic Commerce, 16(2), 69–90.

    Google Scholar 

  • Liang, T.-P., & Turban, E. (2011). Introduction to the special issue social commerce: A research framework for social commerce. International Journal of Electronic Commerce, 16(2), 5–14.

    Google Scholar 

  • Liu, C.-W., Agarwal, R., & Gao, G. (2016). The dark side of positive social influence. In Proceedings of the 37th International Conference on Information Systems (ICIS), Dublin, Ireland.

  • Loiacono, E., Watson, R., & Goodhue, D. (2007). WebQual: An instrument for consumer evaluation of web sites. International Journal of Electronic Commerce, 11(3), 51–87.

    Google Scholar 

  • Lowry, P. B., Vance, A., Moody, G., Beckman, B., & Aaron, R. (2008). Explaining and predicting the impact of branding alliances and web site quality on initial consumer trust of E-commerce web sites. Journal of Management Information Systems, 24(4), 199–224.

    Google Scholar 

  • Lu, B., Fan, W., & Zhou, M. (2016). Social presence, trust, and social commerce purchase intention: An empirical research. Computers in Human Behavior, 56, 225–237.

    Google Scholar 

  • McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359.

    Google Scholar 

  • Mikalef, P., Giannakos, M., & Pateli, A. (2013). Shopping and word-of-mouth intentions on social media. Journal of Theoretical and Applied Electronic Commerce Research, 8(1), 17–34.

    Google Scholar 

  • Moon, J., Chadee, D., & Tikoo, S. (2008). Culture, product type, and price influences on consumer purchase intention to buy personalized products online. Journal of Business Research, 61(1), 31–39.

    Google Scholar 

  • Mudambi, S. M., & Schuff, D. (2010). What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Quarterly, 34(1), 185–200.

  • Ng, C. S.-P. (2013). Intention to purchase on social commerce websites across cultures: A cross-regional study. Information & Management, 50(8), 609–620.

    Google Scholar 

  • Nunnally, J. C. (1978). Psychometric theory (2ed.). New York, USA: McGraw Hill.

    Google Scholar 

  • Olbrich, R., & Holsing, C. (2011). Modeling consumer purchasing behavior in social shopping communities with clickstream data. International Journal of Electronic Commerce, 16(2), 15–40.

    Google Scholar 

  • Palmer, J. W. (2002). Web site usability, design, and performance metrics. Information Systems Research, 13(2), 151–167.

    Google Scholar 

  • Parboteeah, D. V., Valacich, J. S., & Wells, J. D. (2009). The influence of website characteristics on a consumer's urge to buy impulsively. Information Systems Research, 20(1), 60–78.

    Google Scholar 

  • Park, D.-H., & Lee, J. (2008). Ewom overload and its effect on consumer behavioral intention depending on consumer involvement. Electronic Commerce Research and Applications, 7(4), 386–398.

    Google Scholar 

  • Pavlou, P. A., & Chai, L. (2002). What drives electronic commerce across cultures? A cross-cultural empirical investigation of the theory of planned behaviour. Journal of Electronic Commerce Research, 3(4).

  • Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 115–143.

  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.

    Google Scholar 

  • Purnawirawan, N., Eisend, M., De Pelsmacker, P., & Dens, N. (2015). A meta-analytic investigation of the role of valence in online reviews. Journal of Interactive Marketing, 31, 17–27.

    Google Scholar 

  • Rice, R. E. (1992). Task analyzability, use of new media, and effectiveness: A multi-site exploration of media richness. Organization Science, 3(4), 475–500.

    Google Scholar 

  • Ringle, C. M., Wende, S., & Becker, J.-M. (2015). Smartpls 3. http://www.smartpls.com.

  • Rivard, S., & Huff, S. L. (1988). Factors of success for end-user computing. Communications of the ACM, 31(5), 552–561.

    Google Scholar 

  • Rivis, A., & Sheeran, P. (2003). Social influences and the theory of planned behaviour: Evidence for a direct relationship between prototypes and young people's exercise behaviour. Psychology & Health, 18(5), 567–583.

    Google Scholar 

  • Sashi, C. M. (2012). Customer engagement, buyer-seller relationships, and social media. Management Decision, 50(2), 253–272.

    Google Scholar 

  • Shen, J. (2012). Social comparison, social presence, and enjoyment in the acceptance of social shopping websites. Journal of Electronic Commerce Research, 13(3), 198–212.

    Google Scholar 

  • Shen, Y.-C., Huang, C.-Y., Chu, C.-H., & Liao, H.-C. (2010). Virtual community loyalty: An interpersonal-interaction perspective. International Journal of Electronic Commerce, 15(1), 49–74.

    Google Scholar 

  • Shin, D.-H. (2013). User experience in social commerce: In friends we trust. Behaviour & Information Technology, 32(1), 52–67.

    Google Scholar 

  • Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. London, United Kingdom: Wiley.

    Google Scholar 

  • Simon, S. J., & Peppas, S. C. (2004). An examination of media richness theory in product web site design: An empirical study. Info, 6(4), 270–281.

    Google Scholar 

  • Stephen, A. T., & Toubia, O. (2010). Deriving value from social commerce networks. Journal of Marketing Research, 47(2), 215–228.

    Google Scholar 

  • Straub, D., Boudreau, M.-C., & Gefen, D. (2004). Validation guidelines for IS positivist research. The Communications of the Association for Information Systems, 13(1), 380–427.

    Google Scholar 

  • van der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: Contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41–48.

    Google Scholar 

  • Wakefield, R. L., Wakefield, K. L., Baker, J., & Wang, L. C. (2010). How website socialness leads to website use. European Journal of Information Systems, 20(1), 118–132.

    Google Scholar 

  • Wang, C., & Zhang, P. (2012). The evolution of social commerce: The people, management, technology, and information dimensions. Communications of the Association for Information Systems, 31(5), 105–127.

    Google Scholar 

  • Weisberg, J., Te'eni, D., & Arman, L. (2011). Past purchase and intention to purchase in e-commerce: The mediation of social presence and trust. Internet Research, 21(1), 82–96.

    Google Scholar 

  • Wells, J. D., Valacich, J. S., & Hess, T. J. (2011). What signals are you sending? How website quality influences perceptions of product quality and purchase intentions. MIS Quarterly, 35(2), 373–396.

    Google Scholar 

  • Werts, C. E., Linn, R. L., & Jöreskog, K. G. (1974). Intraclass reliability estimates: Testing structural assumptions. Educational and Psychological Measurement, 34(1), 25–33.

    Google Scholar 

  • Xi, H., Hong, Z., Jianshan, S., Li, X., Jiuchang, W., & Davison, R. (2016). Impulsive purchase behaviour in social commerce: The role of social influence. In Proceedings of the 20th Pacific Asia Conference on Information Systems (PACIS).

  • Yadav, M. S., de Valck, K., Hennig-Thurau, T., Hoffman, D. L., & Spann, M. (2013). Social commerce: A contingency framework for assessing marketing potential. Journal of Interactive Marketing, 27(4), 311–323.

    Google Scholar 

  • Zhang, H., Lu, Y., Gupta, S., & Zhao, L. (2014). What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences. Information & Management, 51(8), 1017–1030.

    Google Scholar 

  • Zhang, K. Z. K., & Benyoucef, M. (2016). Consumer behavior in social commerce: A literature review. Decision Support Systems, 86, 95–108.

    Google Scholar 

  • Zhou, L., Zhang, P., & Zimmermann, H.-D. (2013). Social commerce research: An integrated view. Electronic Commerce Research and Applications, 12(2), 61–68.

    Google Scholar 

  • Zhu, L., Benbasat, I., & Jiang, Z. (2010). Let's shop online together: An empirical investigation of collaborative online shopping support. Information Systems Research, 21(4), 872–891.

    Google Scholar 

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  1. University of Bamberg, An der Weberei 5, 96047, Bamberg, Germany

    Thomas Friedrich, Sebastian Schlauderer & Sven Overhage

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Table 6 Survey instrument
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Table 7 Effects of control variables
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Friedrich, T., Schlauderer, S. & Overhage, S. Some things are just better rich: how social commerce feature richness affects consumers’ buying intention via social factors. Electron Markets 31, 159–180 (2021). https://doi.org/10.1007/s12525-019-00374-7

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