Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Kamel Jedidi"'
Autor:
Yegor Tkachenko, Kamel Jedidi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract While prior research has shown that facial images signal personal information, publications in this field tend to assess the predictability of a single variable or a small set of variables at a time, which is problematic. Reported prediction
Externí odkaz:
https://doaj.org/article/6108128fed824d9aa768f4040b25f2ca
Publikováno v:
Journal of Marketing. 85:22-41
Using text-mining, the authors develop version 1.0 of the Relevance to Marketing (R2M) Index, a dynamic index that measures the topical and timely relevance of academic marketing articles to marketing practice. The index assesses topical relevance dr
Autor:
Dominique M. Hanssens, Yu Ding, Wayne S. DeSarbo, Kamel Jedidi, John G. Lynch, Donald R. Lehmann
Publikováno v:
Marketing Letters. 31:175-186
The field of marketing has made significant strides over the past 50 years in understanding how methodological choices affect the validity of conclusions drawn from our research. This paper highlights some of these and is organized as follows: We fir
Autor:
Yegor Tkachenko, Kamel Jedidi
Publikováno v:
SSRN Electronic Journal.
Massive availability of individuals’ facial images through online uploads and CCTV surveillance, combined with lacking regulation, presents potential for companies to obtain richer consumer data -- at the risk of privacy violations through exposure
Autor:
Ty Henderson, Thomas Otter, Daniel Zantedeschi, Marc R. Dotson, Elisabeth Honka, Greg M. Allenby, Xin Wang, David J. Curry, Rajeev Kohli, Taylor Bentley, Anocha Aribarg, Stephan Seiler, Kamel Jedidi
Publikováno v:
Customer Needs and Solutions. 5:82-92
The extant choice literature has proposed different non-compensatory rules as a more realistic description of consumers’ choice than a standard compensatory model. Some research has further suggested a two-stage sequential decision process of non-c
Autor:
Kamel Jedidi, Rajeev Kohli
Publikováno v:
Operations Research. 65:621-634
We show that elimination by aspects (EBA) generalizes nested logit and cross-nested logit models. The latter two models are equivalent to a special case of EBA called preference trees. The transformations between preference trees and nested logit mod
Publikováno v:
Customer Needs and Solutions. 3:144-158
The paper studies economic efficiency in the motion pictures industry and its determinants. We use data envelopment analysis (DEA) to assess the efficiency of the movies’ resources (production, distribution, and marketing investments) used to gener
Publikováno v:
Journal of Retailing. 91:254-271
We develop and test hypotheses regarding the role of social contagion in customer adoption of new sales channels. We examine two aspects of social contagion (local contagion and homophily) and two channels (Internet and bricks-and-mortar store). Draw
Autor:
Rajeev Kohli, Kamel Jedidi
Publikováno v:
Operations Research. 63:512-526
Elimination by aspects (EBA) is a random utility model that is considered to represent the choice process used by consumers more faithfully than logit and probit models. One limitation of the model is that it does not have a known error theory. We sh
Publikováno v:
Customer Needs and Solutions. 2:41-56
The paper investigates the long-run consequences of multichannel shopping on customers’ spending. Using data from a major US catalog company which introduced an online channel, our results validate previous findings that multichannel customers spen