Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Francisco Villarroel Ordenes"'
Publikováno v:
Journal of Business Research. 137:393-410
Machine learning (ML) promises great value for marketing related applications. However, the proliferation of data types, methods, tools, and programing languages hampers knowledge integration amongst marketing analytics teams, making collaboration di
In the midst of the influencer marketing boom, more and more companies are shifting resources from real to virtual (or computer-generated) influencers. But while virtual influencers have the potential to engage consumers and drive action, some posts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17da77a58138b2dd94faa13a82502b54
Autor:
Dennis Herhausen, Lauren Grewal, Krista Hill Cummings, Anne L. Roggeveen, Francisco Villarroel Ordenes, Dhruv Grewal
Publikováno v:
Journal of Marketing. American Marketing Association
To date, the literature offers multiple suggestions for how to recover from service failures, albeit without explicitly addressing customers’ negative, high-arousal states evoked by the failure. The few studies that do address ways to improve negat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf619af5d0cc729110158eec6ed77350
https://research.vu.nl/en/publications/2985e9c6-1e41-4fa7-acd7-836f7b32e40f
https://research.vu.nl/en/publications/2985e9c6-1e41-4fa7-acd7-836f7b32e40f
Autor:
Annika Ravald, Robert Ciuchita, Yves Van Vaerenbergh, Panagiotis Sarantopoulos, Francisco Villarroel Ordenes, Maria Holmlund, Mohamed Zaki
Publikováno v:
Holmlund, M, Van Vaerenbergh, Y, Ciuchita, R, Ravald, A, Sarantopoulos, P, Villarroel Ordenes, F & Zaki, M 2020, ' Customer Experience Management in the Age of Big Data Analytics : A Strategic Framework ', Journal of Business Research . https://doi.org/10.1016/j.jbusres.2020.01.022
Customer experience (CX) has emerged as a sustainable source of competitive differentiation. Recent developments in big data analytics (BDA) have exposed possibilities to unlock customer insights for customer experience management (CXM). Research at
Publikováno v:
Nazifi, A, Roschk, H, Villarroel Ordenes, F & Marder, B 2021, ' Bad intentions : Customers’ negative reactions to intentional failures and mitigating conditions ', Journal of Travel Research . https://doi.org/10.1177/00472875211044221
Nazifi, A, Roschk, H, Ordenes, F V & Marder, B 2022, ' Bad Intentions : Customers’ Negative Reactions to Intentional Failures and Mitigating Conditions ', Journal of Travel Research, vol. 61, no. 8, pp. 1808-1827 . https://doi.org/10.1177/00472875211044221
Nazifi, A, Roschk, H, Ordenes, F V & Marder, B 2022, ' Bad Intentions : Customers’ Negative Reactions to Intentional Failures and Mitigating Conditions ', Journal of Travel Research, vol. 61, no. 8, pp. 1808-1827 . https://doi.org/10.1177/00472875211044221
Intentional service failures (e.g., overbooking or overcharging) have received little scholarly attention, despite their regular occurrence and immense costs. Using a multi-method approach combining experimental and field data from online reviews, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f9ffa1c59af6b63caaf3950b33974ee
https://www.pure.ed.ac.uk/ws/files/237481401/NazifiEtal2021JTRBadIntentions.pdf
https://www.pure.ed.ac.uk/ws/files/237481401/NazifiEtal2021JTRBadIntentions.pdf
Publikováno v:
Journal of Service Management. 30:593-620
Purpose The purpose of this paper is to describe and position the state-of-the-art of text and image mining methods in business research. By providing a detailed conceptual and technical review of both methods, it aims to increase their utilization i
Autor:
Dhruv Grewal, Ko de Ruyter, Anne L. Roggeveen, Martin Wetzels, Stefania Farace, Francisco Villarroel Ordenes
Publikováno v:
Journal of Advertising, 49(1), 3-17. Routledge/Taylor & Francis Group
This article contributes to research on advertising effectiveness by investigating the combined influence of ad headlines and visual patterns in the ad on consumer product evaluations. Headlines can convey motion (e.g., “move,” “quick”); when
As consumers are moving away from mindless consumerism, a mindful consumption literature has emerged that is based on Buddhist and psychological perspectives of mindfulness. While the idea of mindful consumption has great potential, there is little e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::318b3e47d3f7c62d542d860eb9a19db6
http://hdl.handle.net/11385/196947
http://hdl.handle.net/11385/196947
Autor:
Dominik Mahr, Stephan Ludwig, Francisco Villarroel Ordenes, Martin Wetzels, Dhruv Grewal, Ko de Ruyter
Publikováno v:
Ordenes, F V, Grewal, D, Ludwig, S, Ruyter, K D, Mahr, D & Wetzels, M 2019, ' Cutting through Content Clutter : How Speech and Image Acts Drive Consumer Sharing of Social Media Brand Messages ', JOURNAL OF CONSUMER RESEARCH, vol. 45, no. 5, pp. 988-1012 . https://doi.org/10.1093/jcr/ucy032
Journal of Consumer Research, 45(5), 988-1012. Oxford University Press
Journal of Consumer Research, 45(5), 988-1012. Oxford University Press
Consumer-to-consumer brand message sharing is pivotal for effective social media marketing. Even as companies join social media conversations and generate millions of brand messages, it remains unclear what, how, and when brand messages stand out and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::463f8fd6d2a067350277c1705b7b8be7
Publikováno v:
Ordenes, F V, Ludwig, S, Ruyter, K D, Grewal, D & Wetzels, M 2017, ' Unveiling What is Written in The Stars : Analyzing Explicit, Implicit, and Discourse Patterns of Sentiment in Social Media ', JOURNAL OF CONSUMER RESEARCH, vol. 43, no. 6, pp. 875–894 . https://doi.org/10.1093/jcr/ucw070
Journal of Consumer Research, 43(6), 875-894. Oxford University Press
Journal of Consumer Research, 43(6), 875-894. Oxford University Press
Deciphering consumers’ sentiment expressions from big data (e.g., online reviews) has become a managerial priority to monitor product and service evaluations. However, sentiment analysis, the process of automatically distilling sentiment from text,