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研究生: 盧岫君
Yu-Chun Lu
論文名稱: 探討全通路的個人化與隱私顧慮: 信任為解決關鍵之因素
Personalization and Privacy Concerns in Omnichannel: Trust as a key solution
指導教授: 朱宇倩
Yu-Qian Zhu
口試委員: 黃世禎
Sun-Jen Huang
魏小蘭
Hsiao-Lan Wei
學位類別: 碩士
Master
系所名稱: 管理學院 - 管理學院MBA
School of Management International (MBA)
論文出版年: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 82
中文關鍵詞: 全通路個人化隱私顧慮信任重複購買意圖使用App意圖
外文關鍵詞: omnichannel retailer,, attitude toward personalization, privacy concerns, trust, in-store repurchase intention, use mobile app intention
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  • 隨著科技發達與進步,改變了消費者生活型態,無論是與零售商的互動以及購買行為,消費者的更高期望是無縫的購物體驗。這也改變了零售市場之競爭規則,虛擬通路與實體通路都朝上下線之虛實融合發展。全通路成為助於零售商實體與網路店面之間的界線消失的方法,產生更好的顧客體驗。尤其是智慧型手機讓消費者同時跨通路無縫得體驗上下線管道,況且使在全通路的重要關鍵之個人化切實有效,提高客戶關係以及滿意度。然而,蒐集客戶個人資料打造個人化的必需方法進而產生消費者隱私疑慮問題,消費者開始擔心個人資料之用途、被盜用、濫用或販售給第三方等。因此,本研究主要為探討消費者在「全通路」下的對於個人化之看法與隱私顧慮,是否會影響重複購買與使用App意圖。並以信任為提高對於個人化正面看法以及削減隱私顧慮之關鍵因素。
    受測者以台灣消費者為調查對象,共收回235份有效問卷,並以Smart PLS 作為問卷分析工具。本研究結果發現對於個人化有著正面心態對購買與使用App意圖有正向影響。反之,強烈隱私疑慮會降低消費者的使用App意圖。這也顯示個人化與隱私疑慮的矛盾,消費者擔心個人資料隱私問題,但同時又期待專屬個人化。業者將面臨提供服務的衝擊,業者必須打造更好的個人化來提升消費者正向心態,同時也不可忽略眷顧消費者的隱私問題。本研究也顯示信任是關鍵因素,不僅對消費者行為有著正向影響,也增強消費者的個人化正面心態以及減弱隱私疑慮。因此本研究建議業者打造信任,提高消費者信任程度,才有可能解決個人化與隱私疑慮的矛盾以及將消費者意圖提高。
    關鍵字:全通路、個人化心態、隱私顧慮、信任、重複購買意圖、使用App意圖


    The advance of technology has reshaped consumer behavior on both the way they engage with retailers and how they shop. It becomes more challenging for the retailers that today’s consumers would not only attract by products itself but also the seamless shopping experience across all channels. Many retailers applied omnichannel sales approach to remove the barrier between online and offline channels, providing convenient and enhance customer experience. Smartphone is one of the tool that help consumer to simultaneously journey at online and offline channels, and enables personalization, a key element in customer satisfaction and relationship, to be feasible in omnichannel strategy. However, gathering consumer personal data to deliver better of personalized products and services entails issue of privacy concerns. To address this issue, consumer concerns of privacy and their attitude toward personalization in the context of omnichannel were explored in this study, and were examined the impact on behavioral intention both in-store repurchase and using mobile app. Moreover, trust, an important role to consumer behavior, was proposed as a key solution to positive personalization attitude and reduction of privacy concerns.
    The online questionnaire was conducted with 235 respondents in Taiwan to test the hypotheses and was analyzed by SmartPLS. This study found that consumers’ positive attitude toward personalization has positive effect on their behavioral intention. Whereas, consumers with high privacy concerns decrease their intention to use mobile application. The finding emphasized paradox of personalization and privacy concerns and suggests that retailer need to improve personalized products and services to enrich customers’ attitude, at the same time, the retailer should not ignore privacy concerns issue that might contrarily decrease customers’ behavior intention. Above all, trust was found to be an important determinant in this study. It not only positively determines consumer behaviors, but also strengthens their attitude regarding personalization and lessens concerns of privacy. Thus, retailer can build customer’s trust in retailer to solve the contradiction of personalization and privacy concerns, resulting in increasing consumer behavioral intention.
    Keywords: omnichannel retailer, attitude toward personalization, privacy concerns, trust, in-store repurchase intention, use mobile app intention.

    摘要 ............................................................................................................................................................... I ABSTRACT ................................................................................................................................................ II ACKNOWLEDGEMENT ........................................................................................................................ IV LIST OF FIGURES ................................................................................................................................... V LIST OF TABLES .................................................................................................................................... VI 1. INTRODUCTION ............................................................................................................................... 1 1.1 Background ......................................................................................................................................... 1 1.2 Purpose of the study ............................................................................................................................ 6 1.3 Structure of the study .......................................................................................................................... 8 2. LITERATURE REVIEW................................................................................................................... 9 2.1 Omnichannel sales strategy ................................................................................................................. 9 2.2 Trust .................................................................................................................................................. 12 2.3 Personalization .................................................................................................................................. 15 2.4 Consumer Privacy Concern .............................................................................................................. 18 3. THE RESEARCH MODEL AND HYPOTHESES ....................................................................... 22 3.1 Trust .................................................................................................................................................. 22 3.2 Attitude toward Personalization and behavioral intention ................................................................ 26 3.3 Consumer privacy concerns and behavioral intention ...................................................................... 28 4. METHODOLOGY ........................................................................................................................... 30 4.1 Sample and Data Collection .............................................................................................................. 30 4.2 Measurement Development .............................................................................................................. 33 5. DATA ANALYSIS AND RESULTS ............................................................................................... 37 5.1 Demographic and Behavioral analyses ............................................................................................. 37 5.2 Reliability and Validity ..................................................................................................................... 40 5.3 Test of Conceptual Model ................................................................................................................. 43 5.4 Summary of Results .......................................................................................................................... 46 6. DISCUSSION AND CONCLUSION .............................................................................................. 48 6.1 Discussion ......................................................................................................................................... 48 6.2 Managerial Implication ..................................................................................................................... 52 6.3 Limitation and Future Research ........................................................................................................ 54 REFERENCES .......................................................................................................................................... 55 APPENDIX ................................................................................................................................................... i

    Afthanorhan, A., & Ahmad, S. (2014). THE IMPORTANCE-PERFORMANCE MATRIX
    ANALYSIS IN PARTIAL LEAST SQUARE STRUCTURAL EQUATION MODELING
    (PLS-SEM) WITH SMARTPLS 2.0 M3.pdf (Vol. 3).
    Aguirre, E., Mahr, D., Grewal, D., de ruyter, k., & Wetzels, M. (2014). Unraveling the
    Personalization Paradox: The Effect of Information Collection and Trust-Building
    Strategies on Online Advertisement Effectiveness (Vol. 91).
    Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision
    Processes, 50(2), 179-211. doi:https://doi.org/10.1016/0749-5978(91)90020-T
    Aubrey, C., & Judge, D. (2012). Re-imagine retail: Why store innovation is key to a brand's
    growth in the ‘new normal’, digitally-connected and transparent world. Journal of brand
    strategy, 1(1), 31-39.
    Baker, R. (2012, March 12). Starbucks on first name terms. Retrieved from
    https://www.marketingweek.com/2012/03/12/starbucks-on-first-name-terms/
    Ball, D., Simões Coelho, P., & Machás, A. (2004). The role of communication and trust in
    explaining customer loyalty: An extension to the ECSI model. European journal of
    marketing, 38(9/10), 1272-1293.
    Bell, D. R., Gallino, S., & Moreno, A. (2013). Inventory showrooms and customer migration in
    omni-channel retail: The effect of product information. Available at SSRN, 2370535.
    Berg, U., & Tornblad, J. (2017). Decorating omnichannels: Shedding light on the consumer
    perspective on omnichannel behavior.
    56
    Brynjolfsson, E., Hu, Y. J., & Rahman, M. S. (2013). Competing in the age of omnichannel
    retailing. MIT Sloan Management Review, 54(4), 23.
    Chellappa, R. K., & Sin, R. G. (2005). Personalization versus privacy: An empirical examination
    of the online consumer’s dilemma. Information technology and management, 6(2-3),
    181-202.
    Chen, P.-T., & Hsieh, H.-P. (2012). Personalized mobile advertising: Its key attributes, trends,
    and social impact. Technological Forecasting and Social Change, 79(3), 543-557.
    Chopra, K., & Wallace, W. A. (2003). Trust in electronic environments. Paper presented at the
    System Sciences, 2003. Proceedings of the 36th Annual Hawaii International Conference
    on.
    Clarke III, I. (2001). Emerging value propositions for m-commerce. Journal of Business
    Strategies, 18(2), 133.
    Cook, G. (2014). Customer experience in the omni-channel world and the challenges and
    opportunities this presents. Journal of Direct, Data and Digital Marketing Practice, 15(4),
    262-266.
    De Wulf, K., Odekerken, G., & Iacobucci, D. (2001). Investments in Consumer Relationships: A
    Cross-Country and Cross-Industry Exploration (Vol. 65).
    Deutsch, M. (1958). Trust and suspicion. Journal of conflict resolution, 2(4), 265-279.
    Dholakia, R. R., & Dholakia, N. (2004). Mobility and markets: emerging outlines of mcommerce. Journal of Business research, 57(12), 1391-1396.
    57
    Dinev, T., Bellotto, M., J. Hart, P., Russo, V., & Serra, I. (2006). Internet Users' Privacy
    Concerns and Beliefs About Government Surveillance: An Exploratory Study of
    Differences Between Italy and the United States (Vol. 14).
    Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions.
    Information systems research, 17(1), 61-80.
    Doney, P. M., & Cannon, J. P. (1997). An examination of the nature of trust in buyer-seller
    relationships. The journal of marketing, 35-51.
    Eastin, M., Brinson, N., Doorey, A., & Wilcox, G. (2016). Living in a big data world: Predicting
    mobile commerce activity through privacy concerns (Vol. 58).
    Enders, A., & Jelassi, T. (2000). The converging business models of Internet and bricks-andmortar retailers. European Management Journal, 18(5), 542-550.
    doi:https://doi.org/10.1016/S0263-2373(00)00043-8
    International, E. (2018, February). Coffee in Taiwan. Retrieved from
    http://www.euromonitor.com/coffee-in-taiwan/report
    F., G. J. (2004). The theory of planned behavior and Internet purchasing. Internet Research,
    14(3), 198-212. doi:doi:10.1108/10662240410542634
    Fan, H., & Poole, M. S. (2006). What is personalization? Perspectives on the design and
    implementation of personalization in information systems. Journal of Organizational
    Computing and Electronic Commerce, 16(3-4), 179-202.
    58
    Fortes, N., & Rita, P. (2016). Privacy concerns and online purchasing behaviour: Towards an
    integrated model. European Research on Management and Business Economics, 22(3),
    167-176.
    Gabisch, J. A. (2011). The impact of online influence strategies on consumer response and
    privacy expectations: University of Massachusetts Amherst.
    Gao, F., & Su, X. (2016). Omnichannel Retail Operations with Buy-Online-and-Pick-up-in-Store
    (Vol. 63).
    Garbarino, E., & Johnson, M. S. (1999). The different roles of satisfaction, trust, and
    commitment in customer relationships. The journal of marketing, 70-87.
    Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An
    integrated model. MIS quarterly, 27(1), 51-90.
    Geyskens, I., Steenkamp, J.-B. E., Scheer, L. K., & Kumar, N. (1996). The effects of trust and
    interdependence on relationship commitment: A trans-Atlantic study. International
    Journal of research in marketing, 13(4), 303-317.
    Goldsmith, R. E., & Freiden, J. B. (2004). Have it your way: consumer attitudes toward
    personalized marketing. Marketing Intelligence & Planning, 22(2), 228-239.
    Gu, J.-C., Lee, S.-C., & Suh, Y. (2009). Determinants of behavioral intention to mobile banking
    (Vol. 36).
    Hardgrave, B. (2012). Omnichannel Retailing: You can’t do it without RFID. RFID Journal,
    9(6), 38.
    59
    Hassanein, K., & Head, M. (2007). Manipulating perceived social presence through the web
    interface and its impact on attitude towards online shopping (Vol. 65).
    Hawes, J. M., Mast, K. E., & Swan, J. E. (1989). Trust Earning Perceptions of Sellers and
    Buyers. The Journal of Personal Selling and Sales Management, 9(1), 1-8.
    Heejin, L., Richard, W., & H., H. N. (2009). Web content analysis of e‐grocery retailers: a
    longitudinal study. International Journal of Retail & Distribution Management, 37(10),
    839-851. doi:doi:10.1108/09590550910988020
    Hellier, P. K., Geursen, G. M., Carr, R. A., & Rickard, J. A. (2003). Customer repurchase
    intention: A general structural equation model. European journal of marketing, 37(11/12),
    1762-1800.
    Hennig-Thurau, T., & Deseniss, A. (1997). The Impact of Customer Satisfaction and
    Relationship Quality on Customer Retention: A Critical Reassessment and Model
    Development (Vol. 14).
    How To Design a Killer OmniChannel Experience. (2017, July 4). Retrieved from
    https://www.skubana.com/omnichannel-strategy/
    J., Z. J., & M., V. C. (2006). The impact of brand trust and satisfaction on retailer repurchase
    intentions. Journal of Services Marketing, 20(6), 381-390.
    doi:doi:10.1108/08876040610691275
    Jari, S., & Heikki, K. (2007). A conceptual model of trust in the online environment. Online
    Information Review, 31(5), 604-621. doi:10.1108/14684520710832324
    60
    Jarvenpaa, S. L., Tractinsky, N., & Saarinen, L. (1999). Consumer trust in an Internet store: A
    cross-cultural validation. Journal of Computer-Mediated Communication, 5(2),
    JCMC526.
    Juaneda-Ayensa, E., Mosquera, A., & Sierra Murillo, Y. (2016). Omnichannel customer
    behavior: key drivers of technology acceptance and use and their effects on purchase
    intention. Frontiers in psychology, 7, 1117.
    Keane, L. (2018, February 13). 10 Brilliant Examples of Personalized Marketing and Why They
    Worked. Retrieved from https://blog.globalwebindex.com/marketing/personalizedmarketing-works/
    Kee, H. W., & Knox, R. E. (1970). Conceptual and methodological considerations in the study of
    trust and suspicion. Journal of Conflict Resolution, 14(3), 357-366.
    doi:10.1177/002200277001400307
    KEMP, S. (2018, January 30). DIGITAL IN 2018: WORLD’S INTERNET USERS PASS THE
    4 BILLION MARK. Retrieved from https://wearesocial.com/blog/2018/01/globaldigital-report-2018
    Khalifa, M., & Liu, V. (2007). Online consumer retention: Contingent effects of online shopping
    habit and online shopping experience (Vol. 16).
    Kim, H. H., & Jihyun, K. (2009). The effect of offline brand trust and perceived internet
    confidence on online shopping intention in the integrated multi‐channel context.
    International Journal of Retail & Distribution Management, 37(2), 126-141.
    doi:doi:10.1108/0959055091093427
    61
    Kline, R. B. (1999). Book Review: Psychometric theory (3rd ed.). Journal of Psychoeducational
    Assessment, 17(3), 275-280. doi:10.1177/073428299901700307
    Komiak, S. Y., & Benbasat, I. (2006). The effects of personalization and familiarity on trust and
    adoption of recommendation agents. MIS quarterly, 941-960.
    Laroche, M., Yang, Z., McDougall, G. H. G., & Bergeron, J. (2005). Internet versus bricks-andmortar retailers: An investigation into intangibility and its consequences. Journal of
    Retailing, 81(4), 251-267. doi:https://doi.org/10.1016/j.jretai.2004.11.002
    Lauchlan, S. (2017, May 2). A survivor’s guide to omni-channel retail disruption from Starbucks
    management. Retrieved from https://diginomica.com/2017/05/02/survivors-guide-omnichannel-retail-disruption-starbucks-management/
    Laufer, R. S., & Wolfe, M. (1977). Privacy as a concept and a social issue: A multidimensional
    developmental theory. Journal of social Issues, 33(3), 22-42.
    Limbu, Y., Wolf, M., & Lunsford, D. (2012). Perceived ethics of online retailers and consumer
    behavioral intentions: The mediating roles of trust and attitude (Vol. 6).
    Loewe, P. M., & Bonchek, M. S. (1999). The retail revolution. Management Review, 88(4), 38.
    Munuera-Aleman, J. L., Delgado-Ballester, E., & Yague-Guillen, M. J. (2003). Development and
    Validation of a Brand Trust Scale. International Journal of Market Research, 45(1), 1-18.
    doi:10.1177/147078530304500103
    M., R. C., & Marko, S. (2016). Gain more insight from your PLS-SEM results: The importanceperformance map analysis. Industrial Management & Data Systems, 116(9), 1865-1886.
    doi:doi:10.1108/IMDS-10-2015-0449
    62
    Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational
    trust. Academy of management review, 20(3), 709-734.
    McAllister, D. J. (1995). Affect-and cognition-based trust as foundations for interpersonal
    cooperation in organizations. Academy of management journal, 38(1), 24-59.
    McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). The impact of initial consumer trust on
    intentions to transact with a web site: a trust building model. The journal of strategic
    information systems, 11(3-4), 297-323.
    Melero, I., Sese, F. J., & Verhoef, P. C. (2016). Recasting the Customer Experience in Today's
    Omni-channel Environment 1/Redefiniendo la experiencia del cliente en el entorno
    omnicanal. Universia Business Review(50), 18.
    Milne, G. R. (2000). Privacy and ethical issues in database/interactive marketing and public
    policy: A research framework and overview of the special issue. Journal of Public Policy
    & Marketing, 19(1), 1-6.
    Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing.
    The journal of marketing, 20-38.
    Mosquera, A., Olarte, C., & Juaneda Ayensa, E. (2017). Understanding the customer experience
    in the age of omni-channel shopping (Vol. 15).
    National Development Council, T. (2018, February 23). Survey on 2017 Individual/Household
    Digital Opportunity Survey in Taiwan Executive Summary. Retrieved from
    https://www.gov.tw/en/News2.aspx?n=78871F8A656B4BA5&sms=A2B4856EC48AD4
    BB.
    63
    Netemeyer, R., Ryn, M. V., & Ajzen, I. (1991). The theory of planned behavior. Orgnizational
    Behavior and Human Decision Processes, 50, 179–211.
    Nielsen. (2017, March 21). NIELSEN REPORT: OMNI-CHANNEL STRATEGY DRIVING
    GROWTH AS CONSUMERS EMBRACE BOTH ONLINE AND OFFLINE
    CHANNELS. Retrieved from http://www.nielsen.com/tw/en/press-room/2017/nielsenreport-omni-channel-strategy-driving-growth-as-consumers-embrace-both-online-andoffline-channels.html
    Peltola, S., Vainio, H., & Nieminen, M. (2015). Key factors in developing omnichannel customer
    experience with finnish retailers. Paper presented at the International Conference on HCI
    in Business.
    Phillip, K. H., Gus, M. G., Rodney, A. C., & John, A. R. (2003). Customer repurchase intention:
    A general structural equation model. European journal of marketing, 37(11/12), 1762-1800. doi:10.1108/03090560310495456
    Piotrowicz, W., & Cuthbertson, R. (2014). Introduction to the special issue information
    technology in retail: Toward omnichannel retailing. International Journal of Electronic
    Commerce, 18(4), 5-16.
    Pivato, S., Misani, N., & Tencati, A. (2008). The impact of corporate social responsibility on
    consumer trust: the case of organic food. Business ethics: A European review, 17(1), 3-12.
    Ranaweera, C., & Prabhu, J. (2003). The influence of satisfaction, trust and switching barriers on
    customer retention in a continuous purchasing setting. International journal of service
    industry management, 14(4), 374-395.
    64
    Reinartz, W., Dellaert, B., Krafft, M., Kumar, V., & Varadarajan, R. (2011). Retailing
    innovations in a globalizing retail market environment. Journal of Retailing, 87, S53-S66.
    Rigby, D. (2011). The future of shopping. Harvard business review, 89(12), 65-76.
    Rigby, D., Kris, M., Josh, C., & Suzanne, T. (2012). Omnichannel retailing: Digital disruption
    and retailer opportunities. Bain Retail Holiday Newsletter. Available online at: http://goo.
    gl/47MwZX.
    Rodríguez-Torrico, P., Cabezudo, R. S. J., & San-Martín, S. (2017). Tell me what they are like
    and I will tell you where they buy. An analysis of omnichannel consumer behavior.
    Computers in Human Behavior, 68, 465-471.
    Saghiri, S., Wilding, R., Mena, C., & Bourlakis, M. (2017). Toward a three-dimensional
    framework for omni-channel. Journal of Business research, 77, 53-67.
    Salam, A. F., Iyer, L., Palvia, P., & Singh, R. (2005). Trust in e-commerce. Communications of
    the ACM, 48(2), 72-77.
    Salo, J., & Karjaluoto, H. (2007). A conceptual model of trust in the online environment. Online
    Information Review, 31(5), 604-621.
    Schoenbachler, D. D., & Gordon, G. L. (2002). Multi-channel shopping: understanding what
    drives channel choice. Journal of Consumer Marketing, 19(1), 42-53.
    Schoenbachler, D. D., & Gordon, G. L. (2002). Trust and customer willingness to provide
    information in database‐driven relationship marketing. Journal of interactive marketing,
    16(3), 2-16.
    65
    Seiders, K., Voss, G. B., Grewal, D., & Godfrey, A. L. (2005). Do satisfied customers buy more?
    Examining moderating influences in a retailing context. Journal of marketing, 69(4), 26-43.
    Sheng, H., Nah, F. F.-H., & Siau, K. (2008). An experimental study on ubiquitous commerce
    adoption: Impact of personalization and privacy concerns. Journal of the Association for
    Information Systems, 9(6), 344.
    Shin, D.-H. (2010). The effects of trust, security and privacy in social networking: A securitybased approach to understand the pattern of adoption. Interacting with computers, 22(5),
    428-438.
    Siau, K., & Shen, Z. (2003). Building customer trust in mobile commerce. Communications of
    the ACM, 46(4), 91-94.
    Siau, K., Sheng, H., Nah, F., & Davis, S. (2004). A qualitative investigation on consumer trust in
    mobile commerce. International Journal of Electronic Business, 2(3), 283-300.
    Smith, H. J., Milberg, S. J., & Burke, S. J. (1996). Information privacy: measuring individuals'
    concerns about organizational practices. MIS quarterly, 167-196.
    Souppouris, A. (2012, April 10). Starbucks app has processed 42 million payments since launch.
    Retrieved from https://www.theverge.com/2012/4/10/2938015/starbucks-app-iosandroid-number-of-payments
    Stewart, K. J. (2003). Trust transfer on the world wide web. Organization Science, 14(1), 5-17.
    Retrieved from https://search.proquest.com/docview/213833512?accountid=8014
    66
    Sundar, S. S., & Marathe, S. S. (2010). Personalization versus customization: The importance of
    agency, privacy, and power usage. Human Communication Research, 36(3), 298-322.
    Taylor, D. G., Davis, D. F., & Jillapalli, R. (2009). Privacy concern and online personalization:
    The moderating effects of information control and compensation. Electronic Commerce
    Research, 9(3), 203-223.
    Tene, Omer, Privacy: The New Generations (November 17, 2010). International Data Privacy
    Law, 2010. Available at SSRN: https://ssrn.com/abstract=1710688
    Treiblmaier, H., & Pollach, I. (2011). The influence of privacy concerns on perceptions of web
    personalisation. International Journal of Web Science, 1(1-2), 3-20.
    Ünal, S., Ercis, A., & Keser, E. (2011). Attitudes towards mobile advertising–A research to
    determine the differences between the attitudes of youth and adults. Procedia-Social and
    behavioral sciences, 24, 361-377.
    Van Dyke, T. P., Midha, V., & Nemati, H. (2007). The effect of consumer privacy empowerment
    on trust and privacy concerns in e‐commerce. Electronic Markets, 17(1), 68-81.
    Verhoef, P. C., Kannan, P., & Inman, J. J. (2015). From multi-channel retailing to omni-channel
    retailing: introduction to the special issue on multi-channel retailing. Journal of Retailing,
    91(2), 174-181.
    Walther, J. B. (2011). Introduction to privacy online Privacy Online (pp. 3-8): Springer.
    Wetzlinger, W., Auinger, A., Kindermann, H., & Schönberger, W. (2017). Acceptance of
    Personalization in Omnichannel Retailing. Paper presented at the International
    Conference on HCI in Business, Government, and Organizations.
    67
    Xu, D. J., Liao, S. S., & Li, Q. (2008). Combining empirical experimentation and modeling
    techniques: A design research approach for personalized mobile advertising applications.
    Decision support systems, 44(3), 710-724.
    Yao, M. Z. (2011). Self-protection of online privacy: A behavioral approach Privacy online (pp.
    111-125): Springer.
    Zboja, J. J., & Voorhees, C. M. (2006). The impact of brand trust and satisfaction on retailer
    repurchase intentions. Journal of Services Marketing, 20(6), 381-390.
    Zhang, J., Farris, P. W., Irvin, J. W., Kushwaha, T., Steenburgh, T. J., & Weitz, B. A. (2010).
    Crafting integrated multichannel retailing strategies. Journal of interactive marketing,
    24(2), 168-180.

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