Alpar P, Porembski M, Pickerodt S (2001) Measuring the efficiency of web site traffic generation. Int J Electron Commer 6(1):53–74. https://doi.org/10.1080/10864415.2001.11044224
Anderl E, Schumann JH, Kunz W (2016) Helping firms reduce complexity in multichannel online data: a new taxonomy-based approach for customer journeys. J Retail 92(2):185–203. https://doi.org/10.1016/j.jretai.2015.10.001
Bar-Gill S, Inbar Y, Reichman S (2018) The impact of social vs. non-social referring channels on online news consumption. http://dx.doi.org/10.2139/ssrn.3119943
Ben-Akiva ME, Lerman SR (1985) Discrete choice analysis: theory and application to travel demand. MIT Press, Cambridge
Benlian A (2015) Web personalization cues and their differential effects on user assessments of website value. J Manag Inf Syst 32(1):225–260. https://doi.org/10.1080/07421222.2015.1029394
Berger J (2014) Word of mouth and interpersonal communication: a review and directions for future research. J Consum Psychol 24(4):586–607. https://doi.org/10.1016/j.jcps.2014.05.002
Berger J, Schwartz EM (2011) What drives immediate and ongoing word of mouth? J Mark Res 48(5):869–880. https://doi.org/10.1509/jmkr.48.5.869
Bhatnagar A, Ghose S (2004) An analysis of frequency and duration of search on the internet. J Bus 77(2):311–330. https://doi.org/10.1086/381277
Bhatnagar A, Sen A, Sinha AP (2016) Research note – providing a window of opportunity for converting estore visitors. Inf Syst Res 28(1):22–32. https://doi.org/10.1287/isre.2016.0655
Biyalogorsky E, Gerstner E, Libai B (2001) Customer referral management: optimal reward programs. Mark Sci 20(1):82–95
Borgatti SP, Everett MG (1992) Notions of position in social network analysis. Sociol Methodol 22(1):1–35. https://doi.org/10.2307/270991
Braun M, Moe WW (2013) Online display advertising: modeling the effects of multiple creatives and individual impression histories. Mark Sci 32(5):753–767. https://doi.org/10.1287/mksc.2013.0802
Bucklin RE, Sismeiro C (2009) Click here for internet insight: advances in clickstream data analysis in marketing. J Interact Mark 23(1):35–48. https://doi.org/10.1016/j.intmar.2008.10.004
Burtch G, Ghose A, Wattal S (2014) An empirical examination of peer referrals in online crowdfunding. In: Proceedings of the 35th international conference on information systems, Auckland
Castilla EJ (2005) Social networks and employee performance in a call center. Am J Sociol 110(5):1243–1283. https://doi.org/10.1086/427319
Chan TY, Wu C, Xie Y (2011) Measuring the lifetime value of customers acquired from google search advertising. Mark Sci 30(5):837–850. https://doi.org/10.1287/mksc.1110.0658
Chatterjee P, Hoffman DL, Novak TP (2003) Modeling the clickstream: implications for web-based advertising efforts. Mark Sci 22(4):520–541. https://doi.org/10.1287/mksc.22.4.520.24906
Chen Z, Berger J (2016) How content acquisition affects word of mouth. J Consum Res 43(1):86–102. https://doi.org/10.1093/jcr/ucw001
Chen Y, Xie J (2007) Online consumer review: word-of-mouth as a new element of marketing communication mix. Manag Sci 54(3):477–491. https://doi.org/10.1287/mnsc.1070.0810
Chen P-Y, Wu S-Y, Yoon J (2004) The impact of online recommendations and consumer feedback on sales. In: Proceedings of the 25th international conference on information systems, Washington
Cheung CMK, Thadani DR (2012) The impact of electronic word-of-mouth communication: a literature analysis and integrative model. Decis Support Syst 54(1):461–470. https://doi.org/10.1016/j.dss.2012.06.008
Chevalier JA, Mayzlin D (2006) The effect of word of mouth on sales: online book reviews. J Mark Res 43(3):345–354. https://doi.org/10.1509/jmkr.43.3.345
Coleman JS (1988) Social capital in the creation of human capital. Am J Sociol 94(1):95–120
Costello P (2015) Social share buttons analysis. http://blog.naytev.com/social-share-buttons-analysis/. Accessed 1 May 2020
Cyr D, Head M, Larios H, Pan B (2009) Exploring human images in website design: a multi-method approach. MIS Q 33(3):539–566. https://doi.org/10.2307/20650308
Danaher PJ, Mullarkey GW, Essegaier S (2006) Factors affecting web site visit duration: a cross-domain analysis. J Mark Res 43(2):182–194. https://doi.org/10.1509/jmkr.43.2.182
De Bruyn A, Lilien GL (2008) A multi-stage model of word-of-mouth influence through viral marketing. Int J Res Mark 25(3):151–163. https://doi.org/10.1016/j.ijresmar.2008.03.004
De Keyzer F, Dens N, De Pelsmacker P (2015) Is this for me? How consumers respond to personalized advertising on social network sites. J Interact Advert 15(2):124–134. https://doi.org/10.1080/15252019.2015.1082450
De Matos CA, Rossi CAV (2008) Word-of-mouth communications in marketing: a meta-analytic review of the antecedents and moderators. J Acad Mark Sci 36(4):578–596. https://doi.org/10.1007/s11747-008-0121-1
Demers E, Lev B (2001) A rude awakening: internet shakeout in 2000. Rev Account Stud 6(2):331–359. https://doi.org/10.1023/A:1011675227890
Dichter E (1966) How word-of-mouth advertising works. Harvard Bus Rev 44(6):147–160
Garnefeld I, Eggert A, Helm SV, Tax SS (2013) Growing existing customers’ revenue streams through customer referral programs. J Mark 77(4):17–32. https://doi.org/10.1509/jm.11.0423
Ghandour A, Benwell G, Deans K (2010) Measuring the performance of ecommerce websites. In: Proceedings of the 14th Pacific Asia conference on information systems, Taipei
Ghose A, Todri-Adamopoulos V (2016) Toward a digital attribution model: measuring the impact of display advertising on online consumer behavior. MIS Q 40(4):889–910. https://doi.org/10.25300/MISQ/2016/40.4.05
Ghose A, Yang S (2009) An empirical analysis of search engine advertising: sponsored search in electronic markets. Manag Sci 55(10):1605–1622. https://doi.org/10.1287/mnsc.1090.1054
Ghose A, Goldfarb A, Han SP (2012) How is the mobile internet different? Search costs and local activities. Inf Syst Res 24(3):613–631. https://doi.org/10.1287/isre.1120.0453
Godes D, Mayzlin D (2004) Using online conversations to study word-of-mouth communication. Mark Sci 23(4):545–560. https://doi.org/10.1287/mksc.1040.0071
Goh K-Y, Heng C-S, Lin Z (2013) Social media brand community and consumer behavior: quantifying the relative impact of user- and marketer-generated content. Inf Syst Res 24(1):88–107. https://doi.org/10.1287/isre.1120.0469
Greene WH (2003) Econometric analysis. Prentice Hall, Upper Saddle River
Gu B, Park J, Konana P (2012) Research note: the impact of external word-of-mouth sources on retailer sales of high-involvement products. Inf Syst Res 23(1):182–196. https://doi.org/10.1287/isre.1100.0343
Heath C, Bell C, Sternberg E (2001) Emotional selection in memes: the case of urban legends. J Pers Soc Psychol 81(6):1028–1041. https://doi.org/10.1037/0022-3514.81.6.1028
Heimbach I, Kostyra DS, Hinz O (2015) Marketing automation. Bus Inf Syst Eng 57(2):129–133. https://doi.org/10.1007/s12599-015-0370-8
Hemmert GAJ, Schons LM, Wieseke J, Schimmelpfennig H (2018) Log-likelihood-based pseudo-R2 in logistic regression: deriving sample-sensitive benchmarks. Sociol Method Res 47(3):507–531. https://doi.org/10.1177/0049124116638107
Hennig-Thurau T, Gwinner KP, Walsh G, Gremler DD (2004) Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the internet? J Interact Mark 18(1):38–52. https://doi.org/10.1002/dir.10073
Hosmer DW, Lemeshow S, Sturdivant RX (2013) Applied logistic regression, vol 398. Wiley, Hoboken
Huang P, Lurie NH, Mitra S (2009) Searching for experience on the web: an empirical examination of consumer behavior for search and experience goods. J Mark 73(2):55–69. https://doi.org/10.1509/jmkg.73.2.55
Kannan PK, Reinartz W, Verhoef PC (2016) The path to purchase and attribution modeling: introduction to special section. Int J Res Mark 33(3):449–456. https://doi.org/10.1016/j.ijresmar.2016.07.001
King G, Zeng L (2001) Logistic regression in rare events data. Polit Anal 9(2):137–163. https://doi.org/10.1093/oxfordjournals.pan.a004868
Koch OF, Benlian A (2015) Designing viral promotional campaigns: how scarcity and social proof affect online referrals. In: Proceedings of the 36th international conference on information systems, Fort Worth
Köster A, Matt C, Hess T (2015) The role of communication types on referral acceptance in social networks. In: Proceedings of the 21st Americas conference on information systems, Fajardo, Puerto Rico
Kotler P, Armstrong G (2010) Principles of marketing. Prentice Hall, New Jersey
Li X, Hitt LM (2008) Self-selection and information role of online product reviews. Inf Syst Res 19(4):456–474. https://doi.org/10.1287/isre.1070.0154
Li H, Kannan P (2014) Attributing conversions in a multichannel online marketing environment: an empirical model and a field experiment. J Mark Res 51(1):40–56. https://doi.org/10.1509/jmr.13.0050
Lin JC-C (2007) Online stickiness: its antecedents and effect on purchasing intention. Behav Inf Technol 26(6):507–516. https://doi.org/10.1080/01449290600740843
Lin T-C, Hsu JS-C, Chen H-C (2013) Customer willingness to pay for online music: the role of free mentality. J Electron Commer Res 14(4):315–333
Lis B, Neßler C (2013) Electronic word of mouth. Bus Inf Syst Eng 6(1):63–65. https://doi.org/10.1007/s12599-013-0306-0
Lu X, Ba S, Huang L, Feng Y (2013) Promotional marketing or word-of-mouth? Evidence from online restaurant reviews. Inf Syst Res 24(3):596–612. https://doi.org/10.1287/isre.1120.0454
Lucas W, Schiano W, Crosett K (2001) The present and future of internet search. Commun Assoc for Inf Syst 5(1):1–29. https://doi.org/10.17705/1CAIS.00508
Luo X, Zhang J, Duan W (2013) Social media and firm equity value. Inf Syst Res 24(1):146–163. https://doi.org/10.1287/isre.1120.0462
Mahnke R, Benlian A, Hess T (2015) A grounded theory of online shopping flow. Int J Electron Commer 19(3):54–89. https://doi.org/10.1080/10864415.2015.1000222
Manski CF, Lerman SR (1977) The estimation of choice probabilities from choice based samples. Econometrica 45(8):1977–1988
Mao E, Zhang J (2015) What drives consumers to click on social media ads? The roles of content, media, and individual factors. In: Proceedings of the 48th Hawaii international conference on system sciences, Hawaii. https://doi.org/10.1109/HICSS.2015.410
Marchand A, Hennig-Thurau T, Wiertz C (2016) Not all digital word of mouth is created equal: understanding the respective impact of consumer reviews and microblogs on new product success. Int J Res Mark 34(2):336–354. https://doi.org/10.1016/j.ijresmar.2016.09.003
Matook S, Brown SA, Rolf J (2015) Forming an intention to act on recommendations given via online social networks. Eur J Inf Syst 24(1):76–92. https://doi.org/10.1057/ejis.2013.28
Moe WW (2003) Buying, searching, or browsing: differentiating between online shoppers using in-store navigational clickstream. J Consum Psychol 13(1):29–39. https://doi.org/10.1207/S15327663JCP13-1&2_03
Nagelkerke N (1991) A note on a general definition of the coefficient of determination. Biometrika 78(3):691–692. https://doi.org/10.1093/biomet/78.3.691
Nahapiet J, Ghoshal S (1998) Social capital, intellectual capital, and the organizational advantage. Acad Manag Rev 23(2):242–266. https://doi.org/10.5465/amr.1998.533225
Nelson P (1970) Information and consumer behavior. J Polit Econ 78(2):311–329. https://doi.org/10.1086/259630
Oestreicher-Singer G, Zalmanson L (2013) Content or community? A digital business strategy for content providers in the social age. MIS Q 37(2):591–616. https://doi.org/10.25300/MISQ/2013/37.2.12
Özpolat K, Gao G, Jank W, Viswanathan S (2013) Research note-the value of third-party assurance seals in online retailing: an empirical investigation. Inf Syst Res 24(4):1100–1111. https://doi.org/10.1287/isre.2013.0489
Phelps JE, Lewis R, Mobilio L, Perry D, Raman N (2004) Viral marketing or electronic word-of-mouth advertising: examining consumer responses and motivations to pass along email. J Advert Res 44(4):333–348. https://doi.org/10.1017/S0021849904040371
Pihlström M, Brush GJ (2008) Comparing the perceived value of information and entertainment mobile services. Psychol Mark 25(8):732–755. https://doi.org/10.1002/mar.20236
Porter L, Golan GJ (2006) From subservient chickens to brawny men. J Interact Advert 6(2):4–33. https://doi.org/10.1080/15252019.2006.10722116
Probst F, Grosswiele L, Pfleger R (2013) Who will lead and who will follow: identifying influential users in online social networks. Bus Inf Syst Eng 5(3):179–193. https://doi.org/10.1007/s12599-013-0263-7
Rishika R, Kumar A, Janakiraman R, Bezawada R (2013) The effect of customers’ social media participation on customer visit frequency and profitability: an empirical investigation. Inf Syst Res 24(1):108–127. https://doi.org/10.1287/isre.1120.0460
Rogers EM (2003) Diffusion of innovations. The Free Press, New York
Ryu G, Feick L (2007) A penny for your thoughts: referral reward programs and referral likelihood. J Mark 71(1):84–94. https://doi.org/10.1509/jmkg.71.1.084
Schmitt P, Skiera B, Van den Bulte C (2011) Referral programs and customer value. J Mark 75(1):46–59. https://doi.org/10.2307/25764294
Schwarzer M, Schubotz M, Meuschke N, Breitinger C, Markl V, Gipp B (2016) Evaluating link-based recommendations for Wikipedia. In: Proceedings of the 16th ACM/IEEE-CS on joint conference on digital libraries. https://doi.org/10.1145/2910896.2910908
Senecal S, Nantel J (2004) The influence of online product recommendations on consumers’ online choices. J Retail 80(2):159–169. https://doi.org/10.1016/j.jretai.2004.04.001
Shi N, Hong Y, Wang K, Pavlou P (2013) Social commerce beyond word of mouth: role of social distance and social norms in online referral incentive systems. In: Proceedings of the 34th international conference on information systems, Milan
Spann M, Hinz O, Ramachandran V (2013) Business and information systems engineering and marketing. Bus Inf Syst Eng 5(3):127–128. https://doi.org/10.1007/s12599-013-0264-6
Trueman B, Wong MHF, Zhang X-J (2000) The eyeballs have it: searching for the value in internet stocks. J Account Res 38(1):137–162. https://doi.org/10.2307/2672912
Trusov M, Bucklin RE, Pauwels K (2009) Effects of word-of-mouth versus traditional marketing: findings from an internet social networking site. J Mark 73(5):90–102. https://doi.org/10.1509/jmkg.73.5.90
Vakratsas D, Ambler T (1999) How advertising works: what do we really know? J Mark 63(1):26–43. https://doi.org/10.2307/1251999
Van den Bulte C, Lilien GL (2001) Two-stage partial observability models of innovation adoption. University of Pennsylvania, pp 1–47
van Herpen E, Pieters R, Zeelenberg M (2009) When demand accelerates demand: trailing the bandwagon. J Consum Psychol 19(3):302–312. https://doi.org/10.1016/j.jcps.2009.01.001
Verhoef PC, Venkatesan R, McAlister L, Malthouse EC, Krafft M, Ganesan S (2010) CRM in data-rich multichannel retailing environments: a review and future research directions. J Interact Mark 24(2):121–137. https://doi.org/10.1016/j.intmar.2010.02.009
Verlegh PW, Ryu G, Tuk MA, Feick L (2013) Receiver responses to rewarded referrals: the motive inferences framework. J Acad Mark Sci 41(6):669–682. https://doi.org/10.1007/s11747-013-0327-8
Villanueva J, Yoo S, Hanssens DM (2008) The impact of marketing-induced versus word-of-mouth customer acquisition on customer equity growth. J Mark Res 45(1):48–59. https://doi.org/10.1509/jmkr.45.1.48
Wiesel T, Pauwels K, Arts J (2011) Marketing’s profit impact: quantifying online and off-line funnel progression. Mark Sci 30(4):604–611. https://doi.org/10.1287/mksc.1100.0612
Wong D (2014) In Q4, social media drove 31.24% of overall traffic to sites [report]. Shareaholic Reports. https://blog.shareaholic.com/social-media-traffic-trends-01-2015/. Accessed 16 Jan 2016
Wooldridge J (2015) Introductory econometrics: a modern approach. South-Western
Xu L, Duan JA, Whinston A (2014) Path to purchase: a mutually exciting point process model for online advertising and conversion. Manag Sci 60(6):1392–1412. https://doi.org/10.1287/mnsc.2014.1952
Yang S, Ghose A (2010) Analyzing the relationship between organic and sponsored search advertising: positive, negative, or zero interdependence? Mark Sci 29(4):602–623. https://doi.org/10.1287/mksc.1100.0552
Zhang P (2011) What consumers think, feel, and do toward digital ads: a multi-phase study. In: Proceedings of the 19th European conference on information systems, Helsinki
Zhang Y, Feick L, Mittal V (2014) How males and females differ in their likelihood of transmitting negative word of mouth. J Consum Res 40(6):1097–1108. https://doi.org/10.1086/674211