Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Michel Ballings"'
Publikováno v:
Journal of Marketing. 86:27-47
At the intersection of technology and marketing, this study develops a framework to unobtrusively detect salespeople’s faces and simultaneously extract six emotions: happiness, sadness, surprise, anger, fear, and disgust. The authors analyze 99,451
Publikováno v:
Journal of Interactive Marketing. 50:17-31
When viewers engage in cross-media consumption—view television advertising and social media posts on another medium—how do stimuli from multiple screens influence their response? To address this question, we construct a comprehensive dataset to e
Box office sales and social media : a cross-platform comparison of predictive ability and mechanisms
Publikováno v:
DECISION SUPPORT SYSTEMS
This paper aims to determine the power of social media data (Facebook and Twitter) in predicting box office sales, which platforms, data types and variables are the most important and why. To do so, we compare several models based on movie data, Face
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc15e5649b0cf5925e72e2330a602f08
https://hdl.handle.net/1854/LU-8695508
https://hdl.handle.net/1854/LU-8695508
Publikováno v:
Journal of the Academy of Marketing Science. 46:234-251
This research marks the first attempt to investigate the cause marketing–customer profitability relationship, and to assess whether features can moderate the influence of cause marketing (CM) on customer profitability for a focal brand and its main
Publikováno v:
DECISION ANALYSIS
This study assesses the feasibility of identifying self-reported sports practitioners (soccer players) on Facebook. The main goal is to develop a system to support marketers with the decision as to which prospects to target for advertising purposes.
Publikováno v:
Decision Support Systems. 104:26-37
Business-to-business organizations and scholars are becoming increasingly aware of the possibilities social media and predictive analytics offer. Despite the interest in social media, only few have analyzed the impact of social media on the sales pro
Publikováno v:
Journal of Product Innovation Management. 34:580-597
Crowdsourcing ideas from consumers can enrich idea input in new product development. After a decade of initiatives (e.g., Starbucks’ MyStarbucksIdea, Dell's IdeaStorm), the implications of crowdsourcing for idea generation are well understood, but
Publikováno v:
Bogaert, M, Lootens, J, Van den Poel, D & Ballings, M 2019, ' Evaluating multi-label classifiers and recommender systems in the financial service sector ', European Journal of Operational Research, vol. 279, no. 2, pp. 620-634 . https://doi.org/10.1016/j.ejor.2019.05.037
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
The objective of this paper is to evaluate multi-label classification techniques and recommender systems for cross-sell purposes in the financial services sector. We carried out three analyses using data obtained from an international financial servi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19eb708336aa174de5182d592ba5a437
https://hdl.handle.net/20.500.11820/0dc2efba-9194-4979-bcc2-f36dfaf8d055
https://hdl.handle.net/20.500.11820/0dc2efba-9194-4979-bcc2-f36dfaf8d055
Publikováno v:
Journal of Marketing
Journal of Marketing, 2019, 83 (6), pp.21-42. ⟨10.1177/0022242919873903⟩
Journal of Marketing, American Marketing Association, 2019, 83 (6), pp.21-42. ⟨10.1177/0022242919873903⟩
Journal of Marketing, 2019, 83 (6), pp.21-42. ⟨10.1177/0022242919873903⟩
Journal of Marketing, American Marketing Association, 2019, 83 (6), pp.21-42. ⟨10.1177/0022242919873903⟩
International audience; Despite the demonstrated importance of customer sentiment in social media for outcomes such as purchase behavior and of firms’ increasing use of customer engagement initiatives, surprisingly few studies have investigated fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2427df942c90a6057da0ea1180f2035
https://hal.science/hal-02509303
https://hal.science/hal-02509303
Publikováno v:
Bogaert, M, Ballings, M, Lootens, J & Van den Poel, D 2019, ' Predicting self-declared movie watching behavior using Facebook data and information-fusion sensitivity analysis ', Decision Sciences . https://doi.org/10.1111/deci.12406
DECISION SCIENCES
DECISION SCIENCES
The main purpose of this paper is to evaluate the feasibility of predicting whether yes or no a Facebook user has self-reported to have watched a given movie genre. Therefore, we apply a data analytical framework that (1) builds and evaluates several
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb0192b2a17013139b14e87f927b7b7c
https://hdl.handle.net/20.500.11820/5dff122a-06c4-446e-bdcd-994fbe183aa5
https://hdl.handle.net/20.500.11820/5dff122a-06c4-446e-bdcd-994fbe183aa5