Results 201 to 210 of about 17,436 (253)
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2013
he political thought as well as the formation of political preferences are complicated processes. These processes are directly connected to the interactions, the function and the influences that exert the spheres of action where people act and interact that are composed by the networks.
Ton J. Cleophas, Aeilko H. Zwinderman
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he political thought as well as the formation of political preferences are complicated processes. These processes are directly connected to the interactions, the function and the influences that exert the spheres of action where people act and interact that are composed by the networks.
Ton J. Cleophas, Aeilko H. Zwinderman
+4 more sources
SSRN Electronic Journal, 2004
The quantity of any good demanded by consumers is dependent on the attributes and benefits of an offering, the rate at which marginal utility of the offering decreases, and the availability of substitutes. Traditional conjoint models focus on attributes and benefits, but have not incorporated satiation or diminishing marginal utility.
Jaehwan Kim +2 more
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The quantity of any good demanded by consumers is dependent on the attributes and benefits of an offering, the rate at which marginal utility of the offering decreases, and the availability of substitutes. Traditional conjoint models focus on attributes and benefits, but have not incorporated satiation or diminishing marginal utility.
Jaehwan Kim +2 more
openaire +1 more source
This case study explores how a leading Scandinavian telecommunication company leveraged conjoint analysis to adapt to evolving market dynamics and customer preferences in response to a new low-priced market entrant. Facing customer losses, the company utilized conjoint insights to revamp its internet product portfolio, focusing on the coax market ...
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Conjoint Analysis vs Preference Analysis: A Comparison
Psychological Reports, 1987Conjoint and Preference Analyses were used in an attempt to identify a potential new product's optimal configuration. From each analysis, the same conclusions were drawn, that is, there was no analytic advantage of one analysis over the other. Since the Preference Analysis was more simple and less costly to use, this procedure seems more desirable to ...
THOMAS R. SCHORP, H. LEE MEADOW
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2000
Conjoint analysis was introduced in the 1970’s to quantify consumer tradeoffs. The methodology has become very popular for market-based strategic decisions (see e.g. Green and Srinivasan 1990; Wittink, Vriens and Burhenne 1994). This popularity has both been influenced by and has led to the development of a substantial body of research on conjoint ...
Dick R. Wittink, Sev K. Keil
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Conjoint analysis was introduced in the 1970’s to quantify consumer tradeoffs. The methodology has become very popular for market-based strategic decisions (see e.g. Green and Srinivasan 1990; Wittink, Vriens and Burhenne 1994). This popularity has both been influenced by and has led to the development of a substantial body of research on conjoint ...
Dick R. Wittink, Sev K. Keil
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2015
Conjoint Measurement Analysis plays an important role in marketing. In the design of new products it is valuable to know which components carry what kind of utility for the customer. Marketing and advertisement strategies are based on the perception of the new product’s overall utility.
Wolfgang Karl Härdle, Zdeněk Hlávka
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Conjoint Measurement Analysis plays an important role in marketing. In the design of new products it is valuable to know which components carry what kind of utility for the customer. Marketing and advertisement strategies are based on the perception of the new product’s overall utility.
Wolfgang Karl Härdle, Zdeněk Hlávka
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2002
This paper proposes a new methodology for conjoint analysis by fuzzifying the rank or the rating data. The fuzzy conjoint model is solved as a fuzzy regression problem assuming the error term to be a random fuzzy variable. The paper investigates whether or not the proposed fuzzy conjoint model is superior to its non-fuzzy counterpart.
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This paper proposes a new methodology for conjoint analysis by fuzzifying the rank or the rating data. The fuzzy conjoint model is solved as a fuzzy regression problem assuming the error term to be a random fuzzy variable. The paper investigates whether or not the proposed fuzzy conjoint model is superior to its non-fuzzy counterpart.
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Conjoint Analysis: ���������������� ������ ������������ ���������������� smartphones
2017Conjoint analysis . ,
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Ranking models in conjoint analysis [PDF]
, 2010 In this paper we consider the estimation of probabilistic ranking models in the context of conjoint experiments. By using approximate rather than exact ranking probabilities, we do not need to compute high-dimensional integrals. We extend the approximation technique proposed by \\citet{Henery1981} in the Thurstone-Mosteller-Daniels model for any ...
Lam, K.Y. +2 more
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