References
- Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
- Ajzen, I. (2005). Attitudes, personality, and behavior. McGraw-Hill Education.
- Ajzen, I. (2015). The theory of planned behaviour is alive and well, and not ready to retire: a commentary on Sniehotta, Presseau, and Araújo-Soares. Health Psychology Review, 9(2), 131–137. https://doi.org/10.1080/17437199.2014.883474
- Ajzen, I., & Driver, B. L. (1991). Prediction of leisure participation from behavioral, normative, and control beliefs: An application of the theory of planned behavior. Leisure Sciences, 13(3), 185–204. https://doi.org/10.1080/01490409109513137
- Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Prentice-Hall.
- Azhari, J. E., & Bennett, D. (2015). 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. In XXIV AEDEM International Conference (pp. 1–2).
- Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644–656. https://doi.org/10.1086/209376
- Balasubramanian, S., Raghunathan, R., & Mahajan, V. (2005). Consumers in a multichannel environment: Product utility, process utility, and channel choice. Journal of Interactive Marketing, 19(2), 12–30. https://doi.org/10.1002/dir.20032
- Bell, D. R., Gallino, S., & Moreno, A. (2014). How to win in an omnichannel world. MIT Sloan Management Review, 56(1), 1–13.
- Ben-Shabat, H., Moriarty, M., Nilforoushan, P., Yuen, C. (2015). The global retail e-commerce index 2015. http://www.atkearney.com/documents/10192/5691153/Global+Retail+E-Commerce+Keeps+On+Clicking.pdf/abe38776-2669-47ba-9387-5d1653e40409.
- Bosnjak, M., Galesic, M., & Tuten, T. (2007). Personality determinants of online shopping: Explaining online purchase intentions using a hierarchical approach. Journal of Business Research, 60(6), 597–605. https://doi.org/10.1016/j.jbusres.2006.06.008
- Cammiss, S. (2015). Omni-channel retail. NUS-ISS Paper.
- Capper, T. (2014). Are delivery options part of your e-commerce strategy? http://onlineownership.com/delivery-options-part-e-commerce-strategy/.
- Chatterjee, P. (2010). Causes and consequences of ‘order online pick up in-store’ shopping behavior. The International Review of Retail, Distribution and Consumer Research, 20(4), 431–448. https://doi.org/10.1080/09593969.2010.504009
- Chintagunta, P. K., Chu, J., & Cebollada, J. (2012). Quantifying transaction costs in online/off-line grocery channel choice. Marketing Science, 31(1), 96–114. https://doi.org/10.1287/mksc.1110.0678
- Chiu, C. M., Wang, E. T. G., Fang, Y. H., & Huang, H. Y. (2014). Understanding customers’ repeat purchase intentions in B2C e-commerce: The roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85–114. https://doi.org/10.1111/j.1365-2575.2012.00407.x
- Chiu, H. C., Hsieh, Y. C., Roan, J., Tseng, K. J., & Hsieh, J. K. (2011). The challenge for multichannel services: Cross-channel free-riding behavior. Electronic Commerce Research and Applications, 10(2), 268–277. https://doi.org/10.1016/j.elerap.2010.07.002
- Chou, S. Y., Shen, G. C., Chiu, H. C., & Chou, Y. T. (2016). Multichannel service providers’ strategy: Understanding customers’ switching and free-riding behavior. Journal of Business Research, 69(6), 2226–2232. https://doi.org/10.1016/j.jbusres.2015.12.034
- Cummins, S., Peltier, J. W., & Dixon, A. (2016). Omni-channel research framework in the context of personal selling and sales management: A review and research extensions. Journal of Research in Interactive Marketing, 10(1), 2–16. https://doi.org/10.1108/JRIM-12-2015-0094
- Combs, C. (2015). Omnichannel fashion term. Apparel Search. http://www.apparelsearch.com/terms/o/omnichannel-fashion.html.
- Dabholkar, P. A., & Bagozzi, R. P. (2002). An attitudinal model of technology - based self - service: Moderating effects of consumer traits and situational factors. Journal of the Academy of Marketing Science, 30(3), 184–201. https://doi.org/10.1177/00970302030003001
- DHL Customer Solutions & Innovation. (2015). Omni-channel logistics: A DHL perspective on implications and use cases for the logistics industry (pp. 1–38). DHL Customer Solutions & Innovation.
- Dickinger, A., Arami, M., & Meyer, D. (2008). The role of perceived enjoyment and social norm in the adoption of technology with network externalities. European Journal of Information Systems, 17(1), 4–11. https://doi.org/10.1057/palgrave.ejis.3000726
- Doong, H.-S., Wang, H.-C., & Law, R. (2012). An examination of the determinants of in-flight duty-free shopping: Hedonic and utilitarian motivations. International Journal of Tourism Research, 14(3), 303–306. https://doi.org/10.1002/jtr.1870
- Francis, J. J., Eccles, M. P., Johnston, M., Walker, A., Grimshaw, J., Foy, R., Kaner, E. F. S., Smith, L., & Bonetti, D. (2004). Constructing questionnaires based on the theory of planned behaviour. A manual for health services researchers (pp. 2–12). City University of London.
- Frasquet, M., Mollá, A., & Ruiz, E. (2015). Identifying patterns in channel usage across the search, purchase and post-sales stages of shopping. Electronic Commerce Research and Applications, 14(6), 654–665. https://doi.org/10.1016/j.elerap.2015.10.002
- Gensler, S., Verhoef, P. C., & Böhm, M. (2012). Understanding consumers’ multichannel choices across the different stages of the buying process. Marketing Letters, 23(4), 987–1003. https://doi.org/10.1007/s11002-012-9199-9
- Herath, C. S. (2010). Eliciting salient beliefs are critical to predict behavioural change in theory of planned behaviour. E-Psychologie, 4(3), 24–36.
- Huang, Y., & Oppewal, H. (2006). Why consumers hesitate to shop online: An experimental choice analysis. International Journal of Retail & Distribution Management, 34(4/5), 334–353. https://doi.org/10.1108/09590550610660260
- Janakiraman, R., & Niraj, R. (2011). The impact of geographic proximity on what to buy, how to buy, and where to buy: Evidence from high-tech durable goods market. Decision Sciences, 42(4), 889–919. https://doi.org/10.1111/j.1540-5915.2011.00335.x
- Jiang, L. A., Yang, Z., & Jun, M. (2013). Measuring consumer perceptions of online shopping convenience. Journal of Service Management, 24(2), 191–214. https://doi.org/10.1108/09564231311323962
- Keen, C., Wetzels, M., de Ruyter, K., & Feinberg, R. (2004). E-tailers versus retailers. Journal of Business Research, 57(7), 685–695. https://doi.org/10.1016/S0148-2963(02)00360-0
- Kleijnen, M., de Ruyter, K., & Wetzels, M. (2007). An assessment of value creation in mobile service delivery and the moderating role of time consciousness. Journal of Retailing, 83(1), 33–46. https://doi.org/10.1016/j.jretai.2006.10.004
- Kollmann, T., Kuckertz, A., & Kayser, I. (2012). Cannibalization or synergy? Consumers’ channel selection in online-offline multichannel systems. Journal of Retailing and Consumer Services, 19(2), 186–194. https://doi.org/10.1016/j.jretconser.2011.11.008
- Konus, U., Verhoef, P., & Neslin, S. (2008). Multichannel shopper segments and their covariates. Journal of Retailing, 84(4), 398–413. https://doi.org/10.1016/j.jretai.2008.09.002
- Kuisma, T., Laukkanen, T., & Hiltunen, M. (2007). Mapping the reasons for resistance to Internet banking: A means-end approach. International Journal of Information Management, 27(2), 75–85. https://doi.org/10.1016/j.ijinfomgt.2006.08.006
- Lalwani, C. S., Disney, S. M., & Naim, M. M. (2006). On assessing the sensitivity to uncertainty in distribution network design. International Journal of Physical Distribution & Logistics Management, 36(1), 5–21. https://doi.org/10.1108/09600030610642904
- Larke, R., Kilgour, M., & O’Connor, H. (2018). Build touchpoints and they will come: Transitioning to omnichannel retailing. International Journal of Physical Distribution & Logistics Management, 48(4), 465–483. https://doi.org/10.1108/IJPDLM-09-2016-0276
- Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130–141.
- Lim, H., & Dubinsky, A. J. (2005). Determinants of consumers’ purchase intention on the Internet: an application of theory of planned behavior. Psychology and Marketing, 22(10), 833–855. https://doi.org/10.1002/mar.20086
- Lin, C.-P., & Bhattacherjee, A. (2010). Extending technology usage models to interactive hedonic technologies: a theoretical model and empirical test. Information Systems Journal, 20(2), 163–181. https://doi.org/10.1111/j.1365-2575.2007.00265.x
- Liu, X., & Wei, K. K. (2003). An empirical study of product differences in consumers’ E-commerce adoption behavior. Electronic Commerce Research and Applications, 2(3), 229–239. https://doi.org/10.1016/S1567-4223(03)00027-9
- Mehra, A. (2013). “Showrooming” and the competition between store and online retailers. Management Science, Forthcoming, 14(3), 1–37.
- Melacini, M., Perotti, S., Rasini, M., & Tappia, E. (2018). E-fulfilment and distribution in omni-channel retailing: a systematic literature review. International Journal of Physical Distribution & Logistics Management, 48(4), 391–414. https://doi.org/10.1108/IJPDLM-02-2017-0101
- Metapack. (2015). Delivering consumer choice: 2015 state of eCommerce delivery. http://www.relacioncliente.es/pdf/20151119011121.pdf.
- 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), 5–34. https://doi.org/10.4067/S0718-18762013000100003
- Modak, N. M., & Kelle, P. (2019). Managing a dual-channel supply chain under price and delivery-time dependent stochastic demand. European Journal of Operational Research, 272(1), 147–161. https://doi.org/10.1016/j.ejor.2018.05.067
- Monsuwé, T. P. Y., Dellaert, B. G. C., & De Ruyter, K. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102–121. https://doi.org/10.1108/09564230410523358
- Morganosky, M. A., & Cude, B. J. (2000). Consumer response to online grocery shopping. International Journal of Retail & Distribution Management, 28(1), 17–26. https://doi.org/10.1108/09590550010306737
- Okholm, H. B., Thelle, M. H., Möller, A., Basalisco, B., & Rølmer, S. (2013). E-commerce and delivery: A study of the state of play of EU parcel markets with particular emphasis on e-commerce. European Commission, DG Internal Market and Services.
- Oomen, I., & Leenes, R. (2008). Privacy risk perceptions and privacy protection strategies. Policies and Research in Identity Management in the International Federation for Information Processing, 26(1), 121–138.
- Piotrowicz, W., & Cuthbertson, R. (2019). Exploring omnichannel retailing. Springer.
- Pookulangara, S., Hawley, J., & Xiao, G. (2011). Explaining consumers’ channel-switching behavior using the theory of planned behavior. Journal of Retailing and Consumer Services, 18(4), 311–321. https://doi.org/10.1016/j.jretconser.2011.02.005
- Premkumar, G., Ramamurthy, K., & Liu, H. N. (2008). Internet messaging: An examination of the impact of attitudinal, normative, and control belief systems. Information & Management, 45(7), 451–457. https://doi.org/10.1016/j.im.2008.06.008
- Priebe, C. S., & Spink, K. S. (2011). When in Rome: Descriptive norms and physical activity. Psychology of Sport and Exercise, 12(2), 93–98. https://doi.org/10.1016/j.psychsport.2010.09.001
- Sarmah, T. (2015). Omni - channel retailing: The opulent blend. Journal of Arts, Science & Commerce, VI(3), 1–10.
- Schröder, H., & Zaharia, S. (2008). Linking multi-channel customer behavior with shopping motives: An empirical investigation of a German retailer. Journal of Retailing and Consumer Services, 15(6), 452–468. https://doi.org/10.1016/j.jretconser.2008.01.001
- Taylor, S., & Todd, P. (1995). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International Journal of Research in Marketing, 12(2), 137–155. https://doi.org/10.1016/0167-8116(94)00019-K
- To, P., Liao, C., & Lin, T. (2007). Shopping motivations on Internet: A study based on utilitarian and hedonic value. Technovation, 27(12), 774–787. https://doi.org/10.1016/j.technovation.2007.01.001
- Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
- Vilppula, M. (2016). Consumer purchase journeys in multiple channels: A consumer-centric approach [Master’s Thesis].
- Viswanath, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
- Wollenburg, J., Holzapfel, A., Hübner, A., & Kuhn, H. (2016). Configuring retail fulfillment processes for omni - channel customer steering. International Journal of Electronic Commerce, 22(4), 540–575.
- Wollenburg, J., Hübner, A., Kuhn, H., & Trautrims, A. (2018). From bricks-and-mortar to bricks-and-clicks. International Journal of Physical Distribution & Logistics Management, 48(4), 415–438. https://doi.org/10.1108/IJPDLM-10-2016-0290
- Xu, J., Hong, L., & Li, Y. (2011). Designing of collection and delivery point for E-commerce logistics [Paper presentation]. In Proceedings - 2011 International Conference of Information Technology, Computer Engineering and Management Sciences, ICM 2011 (Vol. 3, pp. 349–352).
- Yuen, K. F., Wang, X., Ma, F., & Wong, Y. D. (2019). The determinants of customers’ intention to use smart lockers for last-mile deliveries. Journal of Retailing and Consumer Services, 49(March), 316–326. https://doi.org/10.1016/j.jretconser.2019.03.022
- Yuen, K. F., Wang, X., Ng, L. T. W., & Wong, Y. D. (2018). An investigation of customers’ intention to use self-collection services for last-mile delivery. Transport Policy, 66(March), 1–8. https://doi.org/10.1016/j.tranpol.2018.03.001
- Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767. https://doi.org/10.1016/j.chb.2010.01.013