Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process

References

• Adamopoulos P (2013a) Beyond rating prediction accuracy: On new perspectives in recommender systems. Proc. 7th ACM Conf. Recommender Systems (ACM, New York).Google Scholar
• Adamopoulos P (2013b) What makes a great MOOC? An interdisciplinary analysis of student retention in online courses. Proc. 34th Internat. Conf. Inform. Systems (AIS, Atlanta).Google Scholar
• Adamopoulos P , Todri V (2014) Social media analytics: The effectiveness of promotional events on brand user base in social media. Proc. 35th Internat. Conf. Inform. Systems (AIS, Atlanta).Google Scholar
• Adamopoulos P , Todri V (2015a) The effectiveness of marketing strategies in social media. Proc. 21st ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 1641–1650.Google Scholar
• Adamopoulos P , Todri V (2015b) Personality-based recommendations: Evidence from Amazon.com. Proc. 9th ACM Conf. Recommender Systems (ACM, New York).Google Scholar
• Adamopoulos P , Tuzhilin A (2013) Recommendation opportunities: Improving item prediction using weighted percentile methods in collaborative filtering systems. Proc. 7th ACM Conf. Recommender Systems (ACM, New York).Google Scholar
• Adamopoulos P , Tuzhilin A (2015a) The business value of recommendations: A privacy-preserving econometric analysis. Proc. 36th Internat. Conf. Inform. Systems (AIS, Atlanta), 21.Google Scholar
• Adamopoulos P , Tuzhilin A (2015b) On unexpectedness in recommender systems: Or how to better expect the unexpected. ACM Trans. Intelligent Systems Tech. 5(4):1–32.Crossref, Google Scholar
• Adamopoulos P , Ghose A , Todri V (2018) The impact of user personality traits on word-of-mouth: Text-mining social media platforms. Inform. Systems Res. 29(3):612–640.Link, Google Scholar
• Al-Fuqaha A , Guizani M , Mohammadi M , Aledhari M , Ayyash M (2015) Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Comm. Survey Tutorials 17(4):2347–2376.Crossref, Google Scholar
• Alba J , Hutchinson J (1987) Dimensions of consumer expertise. J. Consumer Res. 13(4):411–454.Crossref, Google Scholar
• Alba J , Lynch J , Weitz B , Janiszewski C , Lutz R , Sawyer A , Wood S (1997) Interactive home shopping: Consumer, retailer, and manufacturer incentives to participate in electronic marketplaces. J. Marketing 61(3):38–53.Crossref, Google Scholar
• Anagol S , Kim HH (2012) The impact of shrouded fees: Evidence from a natural experiment in the indian mutual funds market. Amer. Econom. Rev. 102(1):576–593.Crossref, Google Scholar
• Angrist JD , Pischke J-S (2008) Mostly Harmless Econometrics: An Empiricist’s Companion (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Ansari A , Mela CF , Neslin SA (2008) Customer channel migration. J. Marketing Res. 45(1):60–76.Crossref, Google Scholar
• Archak N , Ghose A , Ipeirotis PG (2011) Deriving the pricing power of product features by mining consumer reviews. Management Sci. 57(8):1485–1509.Link, Google Scholar
• Arellano M (1987) Computing robust standard errors for within-groups estimators. Oxford Bull. Econom. Statist. 49(4):431–434.Crossref, Google Scholar
• Austin PC (2011) An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav. Res. 46(3):399–424.Crossref, Google Scholar
• Avery J , Steenburgh TJ , Deighton J , Caravella M (2012) Adding bricks to clicks: Predicting the patterns of cross-channel elasticities over time. J. Marketing 76(3):96–111.Crossref, Google Scholar
• Bettman JR (1970) Information processing models of consumer behavior. J. Marketing Res. 7(3):370–376.Crossref, Google Scholar
• Bharadwaj SG , Varadarajan PR , Fahy J (1993) Sustainable competitive advantage in service industries: A conceptual model and research propositions. J. Marketing 57(4):83–99.Crossref, Google Scholar
• Borgida E , Howard-Pitney B (1983) Personal involvement and the robustness of perceptual salience effects. J. Personality Soc. Psych. 45(3):560–570.Crossref, Google Scholar
• Brand S, Geschickter C (2016) Vanguard Enterprise Architects Must Adopt Leading Indicators to Measure the Performance of IoT Initiatives. Gartner Research (August 31), https://www.gartner.com/en/documents/3428723.Google Scholar
• Brynjolfsson E , Hu Y , Rahman MS (2009) Battle of the retail channels: How product selection and geography drive cross-channel competition. Management Sci. 55(11):1755–1765.Link, Google Scholar
• Brynjolfsson E , Hu Y , Smith MD (2003) Consumer surplus in the digital economy: Estimating the value of increased product variety at online booksellers. Management Sci. 49(11):1580–1596.Link, Google Scholar
• Burke R (2002) Hybrid recommender systems: Survey and experiments. User Model. User-Adapted Interaction 12(4):331–370.Crossref, Google Scholar
• Callaway B , Sant’Anna PH (2018) Difference-in-differences with multiple time periods and an application on the minimum wage and employment. Preprint, submitted March 23, https://arxiv.org/abs/1803.09015.Google Scholar
• Carmi E , Oestreicher-Singer G , Stettner U , Sundararajan A (2017) Is Oprah contagious? The depth of diffusion of demand shocks in a product network. MIS Quart. 41(1):207–221.Crossref, Google Scholar
• Chandon P , Wansink B (2002) When are stockpiled products consumed faster? A convenience–salience framework of postpurchase consumption incidence and quantity. J. Marketing Res. 39(3):321–335.Crossref, Google Scholar
• Chen P-Y , Wu S-y , Yoon J (2004) The impact of online recommendations and consumer feedback on sales. Proc. 25th Internat. Conf. Inform. Systems (AIS, Atlanta), 58.Google Scholar
• Chevalier J , Goolsbee A (2003) Measuring prices and price competition online: Amazon.com and Barnesandnoble.com. Quant. Marketing Econom. 1(2):203–222.Crossref, Google Scholar
• Chevalier JA , Mayzlin D (2006) The effect of word of mouth on sales: Online book reviews. J. Marketing Res. 43(3):345–354.Crossref, Google Scholar
• Chintagunta PK (1998) Inertia and variety seeking in a model of brand-purchase timing. Marketing Sci. 17(3):253–270.Link, Google Scholar
• Chiu CM , Chang CC , Cheng HL , Fang YH (2009) Determinants of customer repurchase intention in online shopping. Online Inform. Rev. 33(4):761–784.Crossref, Google Scholar
• Collobert R , Weston J (2008) A unified architecture for natural language processing: Deep neural networks with multitask learning. Proc. 25th Internat. Conf. Machine Learn. (ACM, New York), 160–167.Google Scholar
• Da Xu L , He W , Li S (2014) Internet of things in industries: A survey. IEEE Trans. Indust. Inform. 10(4):2233–2243.Crossref, Google Scholar
• Deleersnyder B , Geyskens I , Gielens K , Dekimpe MG (2002) How cannibalistic is the internet channel? A study of the newspaper industry in the United Kingdom and the Netherlands. Internat. J. Res. Marketing 19(4):337–348.Crossref, Google Scholar
• Devaraj S , Fan M , Kohli R (2002) Antecedents of B2C channel satisfaction and preference: Validating e-commerce metrics. Inform. Systems Res. 13(3):316–333.Link, Google Scholar
• Dhar R , Wertenbroch K (2000) Consumer choice between hedonic and utilitarian goods. J. Marketing Res. 37(1):60–71.Crossref, Google Scholar
• Dick AS , Basu K (1994) Customer loyalty: Toward an integrated conceptual framework. J. Acad. Marketing Sci. 22(2):99–113.Crossref, Google Scholar
• Drinkwater D (2016) The future of retail through the internet of things. Accessed July 20, 2018, https://www.intel.com/content/dam/www/public/us/en/documents/white-papers/future-retail-through-iot-paper.pdf.Google Scholar
• Eggert A , Ulaga W (2002) Customer perceived value: A substitute for satisfaction in business markets? J. Bus. Indust. Marketing 17(2–3):107–118.Google Scholar
• eMarketer (2017) Challenges to developing an internet of things (IoT) service according to IoT providers. BI Intelligence.Google Scholar
• Ericsson (2017) Internet of things forecast. Mobility Report, Ericsson AB, Stockholm.Google Scholar
• Evans DS (2009) The online advertising industry: Economics, evolution, and privacy. J. Econom. Perspect. 23(3):37–60.Crossref, Google Scholar
• Evans M (2017) 5 ways the internet of things will influence commerce. Forbes (January 24), https://www.forbes.com/sites/michelleevans1/2017/01/24/5-ways-the-internet-of-things-will-influence-commerce/.Google Scholar
• Foerster SR , Karolyi GA (1993) International listings of stocks: The case of Canada and the US. J. Internat. Bus. Stud. 24(4):763–784.Crossref, Google Scholar
• Folkes VS , Martin IM , Gupta K (1993) When to say when: Effects of supply on usage. J. Consumer Res. 20(3):467–477.Crossref, Google Scholar
• Forman C , Ghose A , Goldfarb A (2009) Competition between local and electronic markets: How the benefit of buying online depends on where you live. Management Sci. 55(1):47–57.Link, Google Scholar
• Forman C , Ghose A , Wiesenfeld B (2008) Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets. Inform. Syst. Res. 19(3):291–313.Link, Google Scholar
• Gartner (2017) Gartner says 8.4 billion connected “things” will be in use in 2017, up 31 percent from 2016. Accessed July 20, 2018, https://www.gartner.com/newsroom/id/3598917.Google Scholar
• Gehrt KC , Yale LJ (1993) The dimensionality of the convenience phenomenon: A qualitative reexamination. J. Bus. Psych. 8(2):163–180.Crossref, Google Scholar
• Ghose A , Singh PV , Todri V (2017) Got annoyed? Examining the advertising effectiveness and annoyance dynamics. Proc. 38th Internat. Conf. Inform. Systems (AIS, Atlanta), 17.Google Scholar
• Ghose A , Sundararajan A (2006) Evaluating pricing strategy using e-commerce data: Evidence and estimation challenges. Statist. Sci. 21(2):131–142.Crossref, Google Scholar
• Ghose A , Todri-Adamopoulos V (2016) Towards a digital attribution model: Measuring the impact of display advertising on online consumer behavior. MIS Quart. 40(4):889–910.Crossref, Google Scholar
• Ghose A , Smith MD , Telang R (2006) Internet exchanges for used books: An empirical analysis of product cannibalization and welfare impact. Inform. Systems Res. 17(1):3–19.Link, Google Scholar
• Girard T , Korgaonkar P , Silverblatt R (2003) Relationship of type of product, shopping orientations, and demographics with preference for shopping on the internet. J. Bus. Psych. 18(1):101–120.Google Scholar
• Goldfarb A , McDevitt RC , Samila S , Silverman BS (2015) The effect of social interaction on economic transactions: Evidence from changes in two retail formats. Management Sci. 61(12):2963–2981.Link, Google Scholar
• Goolsbee A (2001) Competition in the computer industry: Online versus retail. J. Indust. Econom. 49(4):487–499.Crossref, Google Scholar
• Gourville JT , Soman D (1998) Payment depreciation: The behavioral effects of temporally separating payments from consumption. J. Consumer Res. 25(2):160–174.Crossref, Google Scholar
• Greenfield A (2017) Rise of the machines: Who is the ‘internet of things’ good for? The Guardian (June 6), https://www.theguardian.com/technology/2017/jun/06/internet-of-things-smart-home-smart-city.Google Scholar
• Gregory J (2015) The internet of things: Revolutionizing the retail industry. Accessed December 11, 2020, https://www.accenture.com/_acnmedia/accenture/conversion-assets/dotcom/documents/global/pdf/dualpub_14/accenture-the-internet-of-things.pdf.Google Scholar
• Gu B , Park J , Konana P (2012) Research note—The impact of external word-of-mouth sources on retailer sales of high-involvement products. Inform. Systems Res. 23(1):182–196.Link, Google Scholar
• Gupta S , Kim H-W (2010) Value-driven internet shopping: The mental accounting theory perspective. Psych. Marketing 27(1):13–35.Crossref, Google Scholar
• Hand C , Dall'Olmo Riley F , Harris P , Singh J , Rettie R (2009) Online grocery shopping: The influence of situational factors. Eur. J. Marketing 43(9–10):1205–1219.Google Scholar
• Hirschman EC , Holbrook MB (1982) Hedonic consumption: Emerging concepts, methods and propositions. J. Marketing 46(3):92–101.Crossref, Google Scholar
• Hoberg G , Phillips G (2016) Text-based network industries and endogenous product differentiation. J. Political Econom. 124(5):1423–1465.Crossref, Google Scholar
• 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. Marketing 73(2):55–69.Crossref, Google Scholar
• Institute of Electrical and Electronics Engineers (IEEE) (2014) The internet of things. IEEE, 20. Accessed July 20, 2018, theinstitute.ieee.org.Google Scholar
• International Telecommunication Union (ITU) (2015) Internet of things global standards initiative. Accessed July 20, 2018, https://www.itu.int/en/ITU-T/gsi/iot.Google Scholar
• Joulin A , Grave E , Bojanowski P , Mikolov T (2016) Bag of tricks for efficient text classification. Preprint, submitted July 6, https://arxiv.org/abs/1607.01759.Google Scholar
• Kahneman D , Tversky A (2013) Prospect theory: An analysis of decision under risk. MacLean LC , Ziemba WT , eds. Handbook of the Fundamentals of Financial Decision Making , part 1 (World Scientific, Singapore), 99–127.Crossref, Google Scholar
• Klein LR (1998) Evaluating the potential of interactive media through a new lens: Search versus experience goods. J. Bus. Res. 41(3):195–203.Crossref, Google Scholar
• Kokkodis M , Lappas T (2020) Your hometown matters: Popularity-difference bias in online reputation platforms. Inform. Syst. Res. Link, Google Scholar
• Kushwaha T , Shankar V (2013) Are multichannel customers really more valuable? The moderating role of product category characteristics. J. Marketing 77(4):67–85.Crossref, Google Scholar
• Lauterborn B (1990) New marketing litany. Advertising Age 61(41):26–26.Google Scholar
• Le QV , Mikolov T (2014) Distributed Representations of Sentences and Documents (ICML, Beijing), 1188–1196.Google Scholar
• Levitt T (1965) Exploit the product life cycle. Working paper, Graduate School of Business Administration, Harvard University, Cambridge, MA.Google Scholar
• Liu J , Abhishek V , Li B (2016) The impact of mobile adoption on customer omni-channel banking behavior. Proc. 37th Internat. Conf. Inform. Systems (AIS, Atlanta).Google Scholar
• Lu V , Marjot C (2008) Creative process and product life cycle of high-tech firms. Working paper, Baltic Business School, University of Kalmar, Kalmar, Sweden.Google Scholar
• McAuley J , Pandey R , Leskovec J (2015) Inferring networks of substitutable and complementary products. Proc. 21th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 785–794.Google Scholar
• Mikolov T , Chen K , Corrado G , Dean J (2013a) Efficient estimation of word representations in vector space. Preprint, submitted January 16, https://arxiv.org/abs/1301.3781.Google Scholar
• Mikolov T , Yih W-T , Zweig G (2013c) Linguistic regularities in continuous space word representations. Proc. 2013 Conf. North Amer. Chapter Assoc. Comput. Linguistics Human Language Tech. (ACL, Stroudsburg, PA), 746–751.Google Scholar
• Mikolov T , Sutskever I , Chen K , Corrado GS , Dean J (2013b) Distributed representations of words and phrases and their compositionality. Adv. Neural Inform. Processing Systems . (MIT Press, Cambridge, MA), 3111–3119.Google Scholar
• Minerva R , Biru A , Rotondi D (2015) Towards a definition of the internet of things (IoT). IEEE Internet Initiative. Accessed July 20, 2018, https://iot.ieee.org/definition.html.Google Scholar
• Morganosky MA , Cude BJ (2000) Consumer response to online grocery shopping. Internat. J. Retail Distribution Management 28(1):17–26.Crossref, Google Scholar
• Mudambi SM , Schuff D (2010) What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Quart. 34(1):185–200.Crossref, Google Scholar
• Natarajan C , High D (2017) Retail subscription in internet of things environment. U.S. Patent 20170124633A1.Google Scholar
• Nelson P (1970) Information and consumer behavior. J. Political Econom. 78(2):311–329.Crossref, Google Scholar
• Nelson P (1974) Advertising as information. J. Political Econom. 82(4):729–754.Crossref, Google Scholar
• Oestreicher-Singer G , Sundararajan A (2012a) Recommendation networks and the long tail of electronic commerce. MIS Quart. 36(1):65–83.Crossref, Google Scholar
• Oestreicher-Singer G , Sundararajan A (2012b) The visible hand? Demand effects of recommendation networks in electronic markets. Management Sci. 58(11):1963–1981.Link, Google Scholar
• Okada EM (2005) Justification effects on consumer choice of hedonic and utilitarian goods. J. Marketing Res. 42(1):43–53.Crossref, Google Scholar
• Pavlou PA , Fygenson M (2006) Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quart. 30(1):115–143.Crossref, Google Scholar
• Prelec D , Loewenstein G (1998) The red and the black: Mental accounting of savings and debt. Marketing Sci. 17(1):4–28.Link, Google Scholar
• Reilly MD (1982) Working wives and convenience consumption. J. Consumer Res. 8(4):407–418.Crossref, Google Scholar
• Schary PB (1971) Consumption and the problem of time. J. Marketing 35(2):50–55.Crossref, Google Scholar
• Schwartz B (2004) The Paradox of Choice (HarperCollins, New York).Google Scholar
• Soman D (2001) Effects of payment mechanism on spending behavior: The role of rehearsal and immediacy of payments. J. Consumer Res. 27(4):460–474.Crossref, Google Scholar
• Soman D , Gourville JT (2001) Transaction decoupling: How price bundling affects the decision to consume. J. Marketing Res. 38(1):30–44.Crossref, Google Scholar
• Stigler GJ (1965) Essays in the History of Economics (University of Chicago Press, Chicago).Google Scholar
• Thaler R (1980) Toward a positive theory of consumer choice. J. Econom. Behav. Organ. 1(1):39–60.Crossref, Google Scholar
• Thaler R (1985) Mental accounting and consumer choice. Marketing Sci. 4(3):199–214.Link, Google Scholar
• Thaler RH (1999) Mental accounting matters. J. Behav. Decision Making 12(3):183–206.Crossref, Google Scholar
• To P-L , Liao C , Lin T-H (2007) Shopping motivations on internet: A study based on utilitarian and hedonic value. Technovation 27(12):774–787.Crossref, Google Scholar
• Todri V , Adamopoulos P (2014) Social commerce: An empirical examination of the antecedents and consequences of commerce in social network platforms. Proc. 35th Internat. Conf. Inform. Systems (AIS, Atlanta), 16.Google Scholar
• Todri V , Ghose A , Singh PV (2020) Trade-offs in online advertising: Advertising effectiveness and annoyance dynamics across the purchase funnel. Inform. Systems Res. 31(1):102–125.Link, Google Scholar
• Van Nierop JE , Leeflang PS , Teerling ML , Huizingh KE (2011) The impact of the introduction and use of an informational website on offline customer buying behavior. Internat. J. Res. Marketing 28(2):155–165.Crossref, Google Scholar
• Venkataramani GP , Sankaranarayanan K , Mukherjee S , Arputharaj K , Narayanan SS (2018) Smart secure systems—IoT and analytics perspective. Prasadh G , Karthik V , Saswati S , Kannan M , Swamynathan A , Narayanan S , eds. Proc. 2nd Internat. Conf. Intelligent Inform. Tech., Communications in Computer and Information Science (Springer, Singapore).Crossref, Google Scholar
• Verhoef PC , Neslin SA , Vroomen B (2007) Multichannel customer management: Understanding the research-shopper phenomenon. Int. J. Res. Marketing 24(2):129–148.Crossref, Google Scholar
• Wang K , Goldfarb A (2017) Can offline stores drive online sales? J. Marketing Res. 54(5):706–719.Crossref, Google Scholar
• Wang RJ-H , Malthouse EC , Krishnamurthi L (2015) On the go: How mobile shopping affects customer purchase behavior. J. Retailing 91(2):217–234.Crossref, Google Scholar
• Wansink B (1996) Can package size accelerate usage volume? J. Marketing 60(3):1–14.Crossref, Google Scholar
• Wertenbroch K (1998) Consumption self-control by rationing purchase quantities of virtue and vice. Marketing Sci. 17(4):317–337.Link, Google Scholar
• Wertenbroch K , Dhar R , Khan U (2005) A behavioral decision theory perspective on hedonic and utilitarian choice. Ratneshwar S , Mick DG , eds. Inside Consumption—Consumer Motives, Goals, and Desires (Routledge, New York), 166–187.Google Scholar
• Wooldridge JM (2010) Econometric Analysis of Cross Section and Panel Data (MIT Press, Cambridge, MA).Google Scholar
• Xia Y , Zhang GP (2010) The impact of the online channel on retailers’ performances: An empirical evaluation. Decision Sci. 41(3):517–546.Crossref, Google Scholar
• Xu K , Chan J , Ghose A , Han SP (2016) Battle of the channels: The impact of tablets on digital commerce. Management Sci. 63(5):1469–1492.Link, Google Scholar