Acceptance of Personalization in Omnichannel Retailing

Omnichannel retailing is an approach that enables customers to use multiple online and offline channels of retailers during a customer journey and combine them simultaneously. By embedding digital devices in brick-and-mortar retail stores, retailers are able to better observe customer behavior, to collect customer data, analyze their needs and provide personalized services. This personalization may provide additional value for customers but may also lead to privacy concerns. This paper examines the impact of personalization on privacy concerns and the intention of customers to adopt services in brick-and-mortar retail stores and online shops. The empirical study is based on an online survey that uses a within-subject design including four scenarios that covered the combinations of personalization and non-personalization with the retailing context online shop vs. brick-and-mortar retail store. The subjects had to assess their privacy concerns and their intention to adopt the omnichannel retailing services in these scenarios. 112 subjects participated within this study. Results show that personalized services cause significantly higher privacy concerns than non-personalized services for both contexts. Additionally, consumers expressed higher concerns regarding digital services in the retail store than in the online shop for both personalized and non-personalized services. The intention to adopt the digital services decreased in scenarios with personalized services, both online and offline. However, the intention to adopt personalized services is generally lower in retail stores (with digital elements of omnichannel retailing) than in the online shop. Privacy concerns appeared to have significant negative impact on the intention to adopt in three out of four omnichannel scenarios.

[1]  H. Jeff Smith,et al.  Information Privacy: Measuring Individuals' Concerns About Organizational Practices , 1996, MIS Q..

[2]  Gediminas Adomavicius,et al.  Personalization technologies , 2005, Commun. ACM.

[3]  Leyland F. Pitt,et al.  Potential Research Space in MIS: A Framework for Envisioning and Evaluating Research Replication, Extension, and Generation , 2002, Inf. Syst. Res..

[4]  Izak Benbasat,et al.  The Effects of Personalizaion and Familiarity on Trust and Adoption of Recommendation Agents , 2006, MIS Q..

[5]  Sumit Sarkar,et al.  The Role of the Management Sciences in Research on Personalization , 2003, Manag. Sci..

[6]  P. K. Kannan,et al.  From Multi-Channel Retailing to Omni-Channel Retailing: Introduction to the Special Issue on Multi-Channel Retailing , 2015 .

[7]  V. Vroom Work and motivation , 1964 .

[8]  Social Commerce – Der Einfluss interaktiver Online-Medien auf das Kaufverhalten der Kunden , 2013 .

[9]  Mayuram S. Krishnan,et al.  The Personalization Privacy Paradox: An Empirical Evaluation of Information Transparency and the Willingness to be Profiled Online for Personalization , 2006, MIS Q..

[10]  Keng Siau,et al.  An Experimental Study on Ubiquitous commerce Adoption: Impact of Personalization and Privacy Concerns , 2008, J. Assoc. Inf. Syst..

[11]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[12]  Oliver Günther,et al.  RFID and the Perception of Control: The Consumer's View , 2005, IEEE Engineering Management Review.

[13]  Khai N. Truong,et al.  Virtual shelves: interactions with orientation aware devices , 2009, UIST '09.

[14]  Norbert Beck,et al.  Categorization of multiple channel retailing in Multi-, Cross-, and Omni‐Channel Retailing for retailers and retailing , 2015 .

[15]  Ramnath K. Chellappa,et al.  Personalization versus Privacy: An Empirical Examination of the Online Consumer’s Dilemma , 2005, Inf. Technol. Manag..

[16]  Bennett,et al.  Omni-channel customer experience: An investigation into the use of digital technology in physical stores and its impact on the consumer's decision-making process , 2015 .

[17]  Donald R. Cooper,et al.  Business Research Methods , 1980 .

[18]  Hock-Hai Teo,et al.  Alleviating Consumers' Privacy Concerns in Location-Based Services: A Psychological Control Perspective , 2004, ICIS.

[19]  Tamara Dinev,et al.  Internet privacy concerns and their antecedents - measurement validity and a regression model , 2004, Behav. Inf. Technol..

[20]  L. Paim,et al.  Predicting consumer attitude to use on-line shopping: context of Malaysia , 2013 .

[21]  Horst Treiblmaier,et al.  The influence of privacy concerns on perceptions of web personalisation , 2011, Int. J. Web Sci..

[22]  Stefan Figge,et al.  Situation-dependent services—a challenge for mobile network operators , 2004 .

[23]  Martti Mäntylä,et al.  Assessing Legal Challenges on the Mobile Internet , 2003, Int. J. Electron. Commer..

[24]  Detmar W. Straub,et al.  Inexperience and experience with online stores: the importance of TAM and trust , 2003, IEEE Trans. Engineering Management.

[25]  Tamara Dinev,et al.  An Extended Privacy Calculus Model for E-Commerce Transactions , 2006, Inf. Syst. Res..

[26]  Michael D. Reilly,et al.  Effects of Unexpected Situations on Behavior-Intention Differences: A Garbology Analysis , 1985 .

[27]  R. Belk An Exploratory Assessment of Situational Effects in Buyer Behavior , 1974 .

[28]  SpiekermannSarah,et al.  RFID and the perception of control , 2005 .