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

  • Thomas FriedrichEmail author
  • Sebastian Schlauderer
  • Sven Overhage
Research Paper


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.


Social commerce Feature richness Buying intention Social factors 

JEL classification

L81 M15 


Supplementary material

12525_2019_374_MOESM1_ESM.docx (70 kb)
ESM 1 (DOCX 69 kb)


  1. 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.CrossRefGoogle Scholar
  2. 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.CrossRefGoogle Scholar
  3. 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.CrossRefGoogle Scholar
  4. 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.CrossRefGoogle Scholar
  5. Baethge, C., Klier, J., & Klier, M. (2016). Social commerce – State-of-the-art and future research directions. Electronic Markets, 1–22.Google Scholar
  6. 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. Google Scholar
  7. 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.CrossRefGoogle Scholar
  8. 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.CrossRefGoogle Scholar
  9. 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.CrossRefGoogle Scholar
  10. 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.CrossRefGoogle Scholar
  11. 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.CrossRefGoogle Scholar
  12. 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.CrossRefGoogle Scholar
  13. 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.CrossRefGoogle Scholar
  14. Cenfetelli, R. T., & Bassellier, G. (2009). Interpretation of formative measurement in information systems research. MIS Quarterly, 33(4), 689–707.CrossRefGoogle Scholar
  15. 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.CrossRefGoogle Scholar
  16. 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.CrossRefGoogle Scholar
  17. 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.CrossRefGoogle Scholar
  18. 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.CrossRefGoogle Scholar
  19. 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.CrossRefGoogle Scholar
  20. Chin, W. W. (1998). Issues and opinion on structural equation modeling. MIS Quarterly, 22, VII–XVI.Google Scholar
  21. Chwelos, P., Benbasat, I., & Dexter, A. S. (2001). Research report: Empirical test of an EDI adoption model. Information Systems Research, 12(3), 304–321.CrossRefGoogle Scholar
  22. Cobb, S. (1976). Social support as a moderator of life stress. Psychosomatic Medicine, 38(5), 300–314.CrossRefGoogle Scholar
  23. 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.CrossRefGoogle Scholar
  24. Croson, R., & Gneezy, U. (2009). Gender differences in preferences. Journal of Economic Literature, 47(2), 448–474.CrossRefGoogle Scholar
  25. 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.CrossRefGoogle Scholar
  26. 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.CrossRefGoogle Scholar
  27. 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.CrossRefGoogle Scholar
  28. 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.CrossRefGoogle Scholar
  29. Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32, 554–571.CrossRefGoogle Scholar
  30. 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.CrossRefGoogle Scholar
  31. 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.CrossRefGoogle Scholar
  32. 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.CrossRefGoogle Scholar
  33. Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. Akron, USA: University of Akron Press.Google Scholar
  34. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.CrossRefGoogle Scholar
  35. 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.CrossRefGoogle Scholar
  36. 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,Google Scholar
  37. 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.CrossRefGoogle Scholar
  38. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.CrossRefGoogle Scholar
  39. Gefen, D., & Straub, D. (2003). Managing user trust in B2C e-services. e-Service Journal, 2(2), 7–24.CrossRefGoogle Scholar
  40. 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
  41. 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). Google Scholar
  42. 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.CrossRefGoogle Scholar
  43. 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.CrossRefGoogle Scholar
  44. 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
  45. Hajli, N., & Sims, J. (2015). Social commerce: The transfer of power from sellers to buyers. Technological Forecasting and Social Change, 94, 350–358.CrossRefGoogle Scholar
  46. 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.CrossRefGoogle Scholar
  47. 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.CrossRefGoogle Scholar
  48. 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.CrossRefGoogle Scholar
  49. 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.CrossRefGoogle Scholar
  50. House, J. S. (1981). Work stress and social support. Reading, USA: Addison-Wesley.Google Scholar
  51. 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.CrossRefGoogle Scholar
  52. 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. Google Scholar
  53. 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.CrossRefGoogle Scholar
  54. 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.CrossRefGoogle Scholar
  55. 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.CrossRefGoogle Scholar
  56. 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.CrossRefGoogle Scholar
  57. 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.CrossRefGoogle Scholar
  58. Kim, J., & Lee, J. (2002). Critical design factors for successful e-commerce systems. Behaviour & Information Technology, 21(3), 185–199.CrossRefGoogle Scholar
  59. 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). Google Scholar
  60. 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.CrossRefGoogle Scholar
  61. 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.CrossRefGoogle Scholar
  62. 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). Google Scholar
  63. 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.CrossRefGoogle Scholar
  64. 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). Google Scholar
  65. Latané, B. (1981). The psychology of social impact. American Psychologist, 36(4), 343–356.CrossRefGoogle Scholar
  66. 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.CrossRefGoogle Scholar
  67. 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.CrossRefGoogle Scholar
  68. 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.CrossRefGoogle Scholar
  69. 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
  70. 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.CrossRefGoogle Scholar
  71. 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.CrossRefGoogle Scholar
  72. 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. Google Scholar
  73. 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.CrossRefGoogle Scholar
  74. 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.CrossRefGoogle Scholar
  75. 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.CrossRefGoogle Scholar
  76. 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.CrossRefGoogle Scholar
  77. 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.CrossRefGoogle Scholar
  78. 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.CrossRefGoogle Scholar
  79. Mudambi, S. M., & Schuff, D. (2010). What makes a helpful online review? A study of customer reviews on MIS Quarterly, 34(1), 185–200.Google Scholar
  80. Ng, C. S.-P. (2013). Intention to purchase on social commerce websites across cultures: A cross-regional study. Information & Management, 50(8), 609–620.CrossRefGoogle Scholar
  81. Nunnally, J. C. (1978). Psychometric theory (2ed.). New York, USA: McGraw Hill.Google Scholar
  82. 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.CrossRefGoogle Scholar
  83. Palmer, J. W. (2002). Web site usability, design, and performance metrics. Information Systems Research, 13(2), 151–167.CrossRefGoogle Scholar
  84. 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.CrossRefGoogle Scholar
  85. 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.CrossRefGoogle Scholar
  86. 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).Google Scholar
  87. Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 115–143.Google Scholar
  88. 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.CrossRefGoogle Scholar
  89. 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.CrossRefGoogle Scholar
  90. 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.CrossRefGoogle Scholar
  91. Ringle, C. M., Wende, S., & Becker, J.-M. (2015). Smartpls 3.
  92. Rivard, S., & Huff, S. L. (1988). Factors of success for end-user computing. Communications of the ACM, 31(5), 552–561.CrossRefGoogle Scholar
  93. 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.CrossRefGoogle Scholar
  94. Sashi, C. M. (2012). Customer engagement, buyer-seller relationships, and social media. Management Decision, 50(2), 253–272.CrossRefGoogle Scholar
  95. 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
  96. 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.CrossRefGoogle Scholar
  97. Shin, D.-H. (2013). User experience in social commerce: In friends we trust. Behaviour & Information Technology, 32(1), 52–67.CrossRefGoogle Scholar
  98. Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. London, United Kingdom: Wiley.Google Scholar
  99. 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.CrossRefGoogle Scholar
  100. Stephen, A. T., & Toubia, O. (2010). Deriving value from social commerce networks. Journal of Marketing Research, 47(2), 215–228.CrossRefGoogle Scholar
  101. 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
  102. 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.CrossRefGoogle Scholar
  103. 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.CrossRefGoogle Scholar
  104. 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
  105. 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.CrossRefGoogle Scholar
  106. 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.CrossRefGoogle Scholar
  107. Werts, C. E., Linn, R. L., & Jöreskog, K. G. (1974). Intraclass reliability estimates: Testing structural assumptions. Educational and Psychological Measurement, 34(1), 25–33.CrossRefGoogle Scholar
  108. 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). Google Scholar
  109. 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.CrossRefGoogle Scholar
  110. 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.CrossRefGoogle Scholar
  111. Zhang, K. Z. K., & Benyoucef, M. (2016). Consumer behavior in social commerce: A literature review. Decision Support Systems, 86, 95–108.CrossRefGoogle Scholar
  112. Zhou, L., Zhang, P., & Zimmermann, H.-D. (2013). Social commerce research: An integrated view. Electronic Commerce Research and Applications, 12(2), 61–68.CrossRefGoogle Scholar
  113. 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.CrossRefGoogle Scholar

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© Institute of Applied Informatics at University of Leipzig 2019

Authors and Affiliations

  1. 1.University of BambergBambergGermany

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