The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Online relationship marketing
Open accessAbstract
Online interactions have emerged as a dominant exchange mode for companies and customers. Cultivating online relationships—defined as relational exchanges that are mediated by Internet-based channels—presents firms with challenges and opportunities. In lockstep with exponential advancements in computing technology, a rich and ever-evolving toolbox is available to relationship marketers to manage customer relationships online, in settings including e-commerce, social media, online communities, mobile, big data, artificial intelligence, and augmented reality. To advance academic knowledge and guide managerial decision making, this study offers a comprehensive analysis of online relationship marketing in terms of its conceptual foundations, evolution in business practice, and empirical insights from academic research. The authors propose an evolving theory of online relationship marketing, characterizing online relationships as uniquely seamless, networked, omnichannel, personalized, and anthropomorphized. Based on these five essential features, six tenets and 11 corresponding propositions parsimoniously predict the performance effects of the manifold online relationship marketing strategies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The commitment-trust theory of relationship marketing
Morgan, R. M., & Hunt, S. D. (1994) · Journal of Marketing · doi:10.1177/002224299405800302 · Cited by 22,355
Users of the world, unite! The challenges and opportunities of Social Media
Kaplan, A. M., & Haenlein, M. (2010) · Business Horizons · doi:10.1016/j.bushor.2009.09.003 · Cited by 17,875
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Developing buyer-seller relationships
Dwyer, F. R., Schurr, P. H., & Oh, S. (1987) · Journal of Marketing · doi:10.1177/002224298705100202 · Cited by 9,139
Understanding customer experience throughout the customer journey
Lemon, K. N., & Verhoef, P. C. (2016) · Journal of Marketing · doi:10.1509/jm.15.0420 · Cited by 5,765
Platform Competition in Two-Sided Markets
Rochet, J.-C., & Tirole, J. (2003) · Journal of the European Economic Association · doi:10.1162/154247603322493212 · Cited by 5,642
Mass Communication and Para-Social Interaction
Horton, D., & Richard Wohl, R. (1956) · Psychiatry · doi:10.1080/00332747.1956.11023049 · Cited by 4,380
Parasocial Interaction: A Review of the Literature and a Model for Future Research
Giles, D. C. (2002) · Media Psychology · doi:10.1207/s1532785xmep0403_04 · Cited by 1,245
Who Sees Human?: The Stability and Importance of Individual Differences in Anthropomorphism
Waytz, A., Cacioppo, J., & Epley, N. (2010) · Perspectives on Psychological Science · doi:10.1177/1745691610369336 · Cited by 1,228
Online customer experience in e-retailing: An empirical model of antecedents and outcomes
Rose, S., Clark, M., Samouel, P., & Hair, N. (2012) · Journal of Retailing · doi:10.1016/j.jretai.2012.03.001 · Cited by 1,131
Research works printed but not linked: 101
- look for enterprise to drive smart glasses. Retrieved 26 March 2018 from https://www.abiresearch.com/press/developers-to-invest-25-billion-in-augmented-reali/ .
- Achen, R. M. (2016). The influence of Facebook engagement on relationship quality and consumer behavior in the National Basketball Association. Journal of Relationship Marketing, 15(4), 247–268. · DOI
- Adjei, M. T., Noble, S. M., & Noble, C. H. (2010). The influence of C2C communications in online brand communities on customer purchase behavior. Journal of the Academy of Marketing Science, 38(5), 634–653. · DOI · Paper page
- Andrews, M., Luo, X., Fang, Z., & Ghose, A. (2016). Mobile ad effectiveness: hyper-contextual targeting with crowdedness. Marketing Science, 35(2), 218–233. · DOI · Paper page
- Ansari, A., Mela, C. F., & Neslin, S. A. (2008). Customer channel migration. Journal of Marketing Research, 45(1), 60–76. · DOI · Paper page
- Arli, D., Bauer, C., & Palmatier, R. W. (2018). Relational selling: past, present and future. Industrial Marketing Management, 69, 169–184. · DOI
- Arora, N., Dreze, X., Ghose, A., Hess, J. D., Iyengar, R., Jing, B., Joshi, Y., Kumar, V., Lurie, N., Neslin, S., Sajeesh, S., Su, M., Syam, N., Thomas, J., & Zhang, Z. J. (2008). Putting one-to-one marketing to work: personalization, customization, and choice. Marketing Letters, 19(3–4), 305–321. · DOI · Paper page
- Ascarza, E., Ebbes, P., Netzer, O., & Danielson, M. (2017). Beyond the target customer: social effects of customer relationship management campaigns. Journal of Marketing Research, 54(3), 347–363. · DOI
- Ballantine, P. W., & Martin, B. A. S. (2005). Forming parasocial relationships in online communities. In G. Menon & A. R. Rao (Eds.), Advances in consumer research (Vol. 32, pp. 197–201). Duluth: Association for Consumer Research.
- Bart, Y., Shankar, V., Sultan, F., & Urban, G. L. (2005). Are the drivers and role of online trust the same for all web sites and consumers? A large-scale exploratory empirical study. Journal of Marketing, 69(4), 133–152. · DOI · Paper page
- Biesdorf, S., Court, D., & Willmott, P. (2013). Big data: what’s your plan? McKinsey Quarterly, March. Retrieved March 26, 2018 from https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-whats-your-plan .
- Brehm, J. W. (1966). A theory of psychological reactance. Oxford: Academic Press.
- Burgoon, J. K., Bonito, J. A., Bengtsson, B., Cederberg, C., Lundeberg, M., & Allspach, L. (2000). Interactivity in human–computer interaction: a study of credibility, understanding, and influence. Computers in Human Behavior, 16(6), 553–574. · DOI · Paper page
- Burke, R. R. (2002). Technology and the customer interface: what consumers want in the physical and virtual store. Journal of the Academy of Marketing Science, 30(4), 411–432. · DOI · Paper page
- Cassell, J., Sullivan, J., Churchill, E., & Prevost, S. (2000). Embodied conversational agents. Cambridge: MIT press. · DOI · Paper page
- Castelo, N., Schmitt, B., Sarvary, M., & Thalmann, N. (2018a). Robot or human? Consumer perceptions of human-like robots. Working Paper: Columbia University.
- Castelo, N., Lehmann, D., & Bos, M. (2018b). Consumer adoption of algorithms that blur the line between human and machine. New York: Working Paper, Columbia University.
- Chan, K. W., & Li, S. Y. (2010). Understanding consumer-to-consumer interactions in virtual communities: the salience of reciprocity. Journal of Business Research, 63(9), 1033–1040. · DOI · Paper page
- Chang, Y. P., & Zhu, D. H. (2012). The role of perceived social capital and flow experience in building users’ continuance intention to social networking sites in China. Computers in Human Behavior, 28(3), 995–1001. · DOI · Paper page
- Csikszentmihalyi, M. (1975). Beyond boredom and anxiety: experiencing flow in work and play. San Francisco: Jossey-Bass Publishers.
- Csikszentmihalyi, M. (2008). Flow: the psychology of optimal experience. New York: Harper Perennial.
- de Haan, E., Kannan, P. K., Verhoef, P. C., & Wiesel, T. (2018). Device switching in online purchasing: examining the strategic contingencies. Journal of Marketing, 82(5), 1–19. · DOI
- DiSalvo, C., & Gemperle, F. (2003). From seduction to fulfillment: the use of anthropomorphic form in design. Proceedings of the 2003 International Conference on Designing Pleasurable Products and Interfaces . Pittsburgh, PA, 67–72. · DOI
- Duan, J., & Dholakia, R. R. (2017). Posting purchases on social media increases happiness: the mediating roles of purchases’ impact on self and interpersonal relationships. Journal of Consumer Marketing, 34(5), 404–413. · DOI
- Dubey, A., & Wagle, D. (2007). Delivering software as a service. The McKinsey Quarterly Web exclusive, May, 1–12.
- Eastlick, M. A., Lotz, S. L., & Warrington, P. (2006). Understanding online B-to-C relationships: an integrated model of privacy concerns, trust, and commitment. Journal of Business Research, 59(8), 877–886. · DOI · Paper page
- Fischer, E., Bristor, J., & Gainer, B. (1996). Creating or escaping community? An exploratory study of internet consumers’ behavior. Advances in Consumer Research, 23, 178–182.
- Fruend, M. (2017). 2017 Colloquy loyalty census – An in-depth analysis of where loyalty is now … and where it’s headed. Cincinnati: Colloquy.
- 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. · DOI
- Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(5), 1360–1380. · DOI · Paper page
- Grégoire, Y., Tripp, T. M., & Legoux, R. (2009). When customer love turns into lasting hate: the effects of relationship strength and time on customer revenge and avoidance. Journal of Marketing, 73(6), 18–32. · DOI · Paper page
- Gwinner, K. P., Gremler, D. D., & Bitner, M. J. (1998). Relational benefits in services industries: the customer’s perspective. Journal of the Academy of Marketing Science, 26(2), 101–114. · DOI · Paper page
- Henderson, C. M., Beck, J. T., & Palmatier, R. W. (2011). Review of the theoretical underpinnings of loyalty programs. Journal of Consumer Psychology, 21(3), 256–276. · DOI · Paper page
- Hoerner, J. (1999). Scaling the web: a parasocial interaction scale for world wide web sites. In D. W. Schumann & E. Thorson (Eds.), Advertising and the world wide web (pp. 135–147). Mahwah: Lawrence Erlbaum Associates.
- Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: conceptual foundations. Journal of Marketing, 60(3), 50–68. · doi:10.2307/1251841 · Paper page
- Huang, T.-L., & Liao, S.-L. (2017). Creating e-shopping multisensory flow experience through augmented-reality interactive technology. Internet Research, 27(2), 449–475. · DOI · Paper page
- Hume, D. (1957). The natural history of religion. Stanford: University Press.
- Iacobucci, D., & Ostrom, A. (1996). Perceptions of services. Journal of Retailing and Consumer Services, 3(4), 195–212. · DOI
- Javornik, A. (2016). Augmented reality: research agenda for studying the impact of its media characteristics on consumer behaviour. Journal of Retailing and Consumer Services, 30, 252–261. · DOI · Paper page
- Johnson, J. L., Lee, R. P. W., Saini, A., & Grohmann, B. (2003). Market-focused strategic flexibility: conceptual advances and an integrative model. Journal of the Academy of Marketing Science, 31(1), 74–89. · DOI · Paper page
- Keeling, K., McGoldrick, P., & Beatty, S. (2010). Avatars as salespeople: communication style, trust, and intentions. Journal of Business Research, 63(8), 793–800. · DOI · Paper page
- Keeling, K., Keeling, D., & McGoldrick, P. (2013). Retail relationships in a digital age. Journal of Business Research, 66(7), 847–855. · DOI
- Kim, H., Suh, K.-S., & Lee, U.-K. (2013). Effects of collaborative online shopping on shopping experience through social and relational perspectives. Information & Management, 50(4), 169–180. · DOI
- Kim, S. J., Wang, R. J. H., & Malthouse, E. C. (2015). The effects of adopting and using a brand's mobile application on customers’ subsequent purchase behavior. Journal of Interactive Marketing, 31, 28–41. · DOI · Paper page
- Koch, O. F., & Benlian, A. (2015). Promotional tactics for online viral marketing campaigns: how scarcity and personalization affect seed stage referrals. Journal of Interactive Marketing, 32, 37–52. · DOI
- Koda, T., & Maes, P. (1996). Agents with faces: the effect of personification. In Robot and Human Communication, 1996., 5th IEEE International Workshop on, 189–194. · DOI
- Kozinets, R. V., De Valck, K., Wojnicki, A. C., & Wilner, S. J. S. (2010). Networked narratives: Understanding word-of-mouth marketing in online communities. Journal of Marketing, 74(2), 71–89. · DOI · Paper page
- Kozlenkova, I. V., Palmatier, R. W., Fang, E., Xiao, B., & Huang, M. (2017). Online relationship formation. Journal of Marketing, 81(3), 21–40. · DOI
- Krafft, M., Arden, C. M., & Verhoef, P. C. (2017). Permission marketing and privacy concerns – Why do customers (not) grant permissions? Journal of Interactive Marketing, 39, 39–54. · DOI
- Kumar, V., & Venkatesan, R. (2005). Who are the multichannel shoppers and how do they perform? Correlates of multichannel shopping behavior. Journal of Interactive Marketing, 19(2), 44–62. · DOI · Paper page
- Kumar, A., Bezawada, R., Rishika, R., Janakiraman, R., & Kannan, P. K. (2016). From social to sale: the effects of firm-generated content in social media on customer behavior. Journal of Marketing, 80(1), 7–25. · DOI · Paper page
- Kushwaha, T., & Shankar, V. (2013). Are multichannel customers really more valuable? The moderating role of product category characteristics. Journal of Marketing, 77(4), 67–85. · DOI · Paper page
- Lee, M.-C., & Tsai, T.-R. (2010). What drives people to continue to play online games? An extension of technology model and theory of planned behavior. International Journal of Human Computer Interaction, 26(6), 601–620. · DOI
- Liu, S.-H., Liao, H.-L., & Pratt, J. A. (2009). Impact of media richness and flow on e-learning technology acceptance. Computers & Education, 52, 599–607. · DOI · Paper page
- Liu, S., Jiang, C., Lin, Z., Ding, Y., Duan, R., & Xu, Z. (2015). Identifying effective influencers based on trust for electronic word-of-mouth marketing: a domain-aware approach. Information Sciences, 306, 34–52. · DOI · Paper page
- Luna, D., Peracchio, L. A., & de Juan, M. D. (2002). Cross-cultural and cognitive aspects of web site navigation. Journal of the Academy of Marketing Science, 30(4), 397–410. · DOI · Paper page
- MacDorman, K. (2005). Androids as an experimental apparatus: why is there an uncanny valley and can we exploit it? Toward Social Mechanisms of Android Science: A CogSci 2005 Workshop, July 25–26, Stresa, Italy, 106–118.
- Marinova, D., de Ruyter, K., Huang, M. H., Meuter, M. L., & Challagalla, G. (2017). Getting smart: learning from technology-empowered frontline interactions. Journal of Service Research, 20(1), 29–42. · DOI · Paper page
- Mathwick, C. (2002). Understanding the online consumer: a typology of online relational norms and behavior. Journal of Interactive Marketing, 16(1), 40–55. · DOI · Paper page
- Mazodier, M., Henderson, C. M., & Beck, J. T. (2018). The long reach of sponsorship: how fan isolation and identification jointly shape sponsorship performance. Journal of Marketing. https://doi.org/10.1509/jm.17.0360 . · DOI
- McKenna, K. Y., Green, A. S., & Gleason, M. E. (2002). Relationship formation on the internet: what’s the big attraction? Journal of Social Issues, 58(1), 9–31. · DOI · Paper page
- Mori, M., MacDorman, K. F., & Kageki, N. (2012). The uncanny valley [from the field]. IEEE Robotics and Automation Magazine, 19(2), 98–100. · DOI · Paper page
- Mothersbaugh, D. L., Foxx, W. K., Beatty, S. E., & Wang, S. (2012). Disclosure antecedents in an online service context: the role of sensitivity of information. Journal of Service Research, 15(1), 76–98. · DOI · Paper page
- Mukherjee, A., & Nath, P. (2007). Role of electronic trust in online retailing: a re-examination of the commitment-trust theory. European Journal of Marketing, 41(9/10), 1173–1202. · DOI · Paper page
- Nakamura, J., & Csikszentmihalyi, M. (2011). Flow theory and research. In C. R. Snyder, E. Wright, & S. J. Lopez (Eds.), Handbook of positive psychology (pp. 195–206). Oxford: Oxford University Press.
- Naylor, R. W., Lamberton, C. P., & West, P. M. (2012). Beyond the “like” button: The impact of mere virtual presence on brand evaluations and purchase intentions in social media settings. Journal of Marketing, 76(6), 105–120. · DOI · Paper page
- Novak, T. P., Hoffmann, D. L., & Yung, Y.-F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22–42. · DOI · Paper page
- Palmatier, R. W. (2008). Relationship marketing. Cambridge: Marketing Science Institute.
- Palmatier, R. W., Dant, R. P., Grewal, D., & Evans, K. R. (2006). Factors influencing the effectiveness of relationship marketing: a meta-analysis. Journal of Marketing, 70(4), 136–153. · DOI · Paper page
- Palmatier, R. W., Dant, R. P., & Grewal, D. (2007a). A comparative longitudinal analysis of theoretical perspectives of interorganizational relationship performance. Journal of Marketing, 71(4), 172–194. · DOI · Paper page
- Palmatier, R. W., Jarvis, C. B., Bechkoff, J. R., & Kardes, F. R. (2009). The role of customer gratitude in relationship marketing. Journal of Marketing, 73(5), 1–18. · DOI · Paper page
- Phan, T. Q., & Godes, D. (2018). The evolution of influence through endogenous link formation. Marketing Science, 37(2), 259–278. · DOI
- Rafaeli, A., Altman, D., Gremler, D. D., Huang, M. H., Grewal, D., Iyer, B., Parasuraman, A., & de Ruyter, K. (2017). The future of frontline research: invited commentaries. Journal of Service Research, 20(1), 91–99. · DOI
- Reeves, B., & Nass, C. I. (1996). The media equation: how people treat computers, television, and new media like real people and places. Cambridge: Cambridge University Press.
- Riquelme, I. P., Román, S., & Iacobucci, D. (2016). Consumers’ perceptions of online and offline retailer deception: a moderated mediation analysis. Journal of Interactive Marketing, 35, 16–26. · DOI
- Saad, S. B., & Abida, F. C. (2016). Social interactivity and its impact on a user’s approach behavior in commercial web sites: a study case of virtual agent presence. Journal of Marketing Management, 4(2), 63–80.
- Serenko, A. (2007). The development of an instrument to measure the degree of animation predisposition of agent users. Computers in Human Behavior, 23(1), 478–495. · DOI
- Shah, D. V., Cappella, J. N., & Neuman, W. R. (2015). Big data, digital media, and computational social science: possibilities and perils. The Annals of the American Academy of Political and Social Science, 659(1), 6–13. · DOI
- Shankar, V., Smith, A. K., & Rangaswamy, A. (2003). Customer satisfaction and loyalty in online and offline environments. International Journal of Research in Marketing, 20(2), 153–175. · DOI · Paper page
- Sheth, J. N., & Parvatiyar, A. (1995). Relationship marketing in consumer markets: antecedents and consequences. Journal of the Academy of Marketing Science, 23(4), 397–418. · DOI · Paper page
- Son, J.-Y., & Kim, S. S. (2008). Internet users’ information privacy-protective responses: a taxonomy and a nomological model. MIS Quarterly, 32(3), 503–529. · DOI · Paper page
- Steinhoff, L., & Palmatier, R. W. (2016). Understanding loyalty program effectiveness: managing target and bystander effects. Journal of the Academy of Marketing Science, 44(1), 88–107. · DOI
- Tam, K. Y., & Ho, S. Y. (2006). Understanding the impact of web personalization on user information processing and decision outcomes. MIS Quarterly, 30(4), 865–890. · DOI · Paper page
- 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. · DOI
- Thomas, J. S., & Sullivan, U. Y. (2005). Managing marketing communications with multichannel customers. Journal of Marketing, 69(4), 239–251. · DOI · Paper page
- Toker-Yildiz, K., Trivedi, M., Choi, J., & Chang, S. R. (2017). Social interactions and monetary incentives in driving consumer repeat behavior. Journal of Marketing Research, 54(3), 364–380. · DOI
- Van den Bulte, C., & Wuyts, S. H. K. (2007). Social networks in marketing. Cambridge: Marketing Science Institute.
- van Doorn, J., Mende, M., Noble, S. M., Hulland, J., Ostrom, A. L., Grewal, D., & Petersen, J. A. (2017). Domo arigato Mr. Roboto: emergence of automated social presence in organizational frontlines and customers’ service experiences. Journal of Service Research, 20(1), 43–58. · DOI · Paper page
- Venkatesan, R., Mehta, K., & Bapna, R. (2007). Do market characteristics impact the relationship between retailer characteristics and online prices? Journal of Retailing, 83(3), 309–324. · DOI
- Verhoef, P. C., Kannan, P. K., & 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. · DOI · Paper page
- Verma, V., Sharma, D., & Seth, J. (2016). Does relationship marketing matter in online retailing? A meta-analytic approach. Journal of the Academy of Marketing Science, 44(2), 206–217. · DOI · Paper page
- Viglia, G., Pera, R., & Bigné, E. (2018). The determinants of stakeholder engagement in digital platforms. Journal of Business Research, 89(August), 404–410. · DOI
- Wallace, D. W., Giese, J. L., & Johnson, J. L. (2004). Customer retailer loyalty in the context of multiple channel strategies. Journal of Retailing, 80(4), 249–263. · DOI · Paper page
- Walsh, G., Hennig-Thurau, T., Sassenberg, K., & Bornemann, D. (2010). Does relationship quality matter in e-services? A comparison of online and offline retailing. Journal of Retailing and Consumer Services, 17(2), 130–142. · DOI
- Wood, N. T., Solomon, M. R., & Englis, B. G. (2005). Personalisation of online avatars: is the messenger as important as the message? International Journal of Internet Marketing and Advertising, 2(1–2), 143–161. · DOI
- Yadav, M. S., & Pavlou, P. A. (2014). Marketing in computer-mediated environments: research synthesis and new directions. Journal of Marketing, 78(1), 20–40. · DOI · Paper page
- Yazdani, E., Gopinath, S., & Carson, S. (2018). Preaching to the choir: the chasm between top-ranked reviewers, mainstream customers, and product sales. Marketing Science, in press, published online 22 Aug 2018, available at https://pubsonline.informs.org/doi/10.1287/mksc.2018.1101 . · DOI
- Yoon, D., Choi, S. M., & Sohn, D. (2008). Building customer relationships in an electronic age: The role of interactivity of e-commerce web sites. Psychology and Marketing, 25(7), 602–618. · DOI
- Zhang, Y., Trusov, M., Stephen, A. T., & Jamal, Z. (2017). Online shopping and social media: friends or foes? Journal of Marketing, 81(6), 24–41. · DOI
- Zhou, T., & Lu, Y. (2011). Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience. Computers in Human Behavior, 27(2), 883–889. · DOI · Paper page
- Zhu, R., Dholakia, U. M., Chen, X., & Algesheimer, R. (2012). Does online community participation foster risky financial behavior? Journal of Marketing Research, 49(3), 394–407. · DOI
Cited by
Personalization in personalized marketing: Trends and ways forward
Chandra, S., Verma, S., Lim, W. M., Kumar, S., & Donthu, N. (2022) · Psychology & Marketing · doi:10.1002/mar.21670 · Cited by 595
Enhancing consumer engagement in e-commerce live streaming via relational bonds.
Hu, M., & Chaudhry, S. S. (2020) · Internet Research · doi:10.1108/intr-03-2019-0082 · Cited by 539
Customer engagement and social media: Revisiting the past to inform the future
Lim, W. M., & Rasul, T. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.04.068 · Cited by 427
Bawack, R. E., Wamba, S. F., & Carillo, K. D. A. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102309 · Cited by 240
Guo, J., Li, Y., Xu, Y., & Zeng, K. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.767876 · Cited by 196
“Existing research on cross-border e-commerce mainly focuses on traditional e-commerce elements (Martin et al., 2015; Agrawal and Fox, 2017; Zhang, 2018; Steinhoff et al., 2019).”
BackgroundUysal, E., Alavi, S., & Bezençon, V. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00856-9 · Cited by 182
Metadata
- Authors
- Steinhoff, L., Arli, D., Weaven, S., & Kozlenkova, I. V.
- Venue
- Journal of the Academy of Marketing Science
- Published
- 2018-12-19
- Volume
- 47
- Issue
- 3
- Pages
- 369-393
- ISSN
- 0092-0703 (ISSN-L)
- 1552-7824
- OpenAlex
- W2903579812
- Cited by
- 396
- References
- 24
- FWCI
- 69.48
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.springer.com/tdm (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.