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標(biāo)題: Titlebook: Conjoint Measurement; Methods and Applicat Anders Gustafsson,Andreas Herrmann,Frank Huber Book 2007Latest edition Springer-Verlag Berlin He [打印本頁(yè)]

作者: concession    時(shí)間: 2025-3-21 19:03
書(shū)目名稱Conjoint Measurement影響因子(影響力)




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書(shū)目名稱Conjoint Measurement被引頻次




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書(shū)目名稱Conjoint Measurement讀者反饋




書(shū)目名稱Conjoint Measurement讀者反饋學(xué)科排名





作者: Itinerant    時(shí)間: 2025-3-21 21:13
Measurement of Price Effects with Conjoint Analysis: Separating Informational and Allocative Effect). Usually this is be done by describing a number of product alternatives on a small number of attributes, including price, and collecting some kind of preference data for these product alternatives. From the estimated part-worth function for price one can infer price effects (Srinivasan 1979).
作者: conduct    時(shí)間: 2025-3-22 02:36

作者: ARIA    時(shí)間: 2025-3-22 06:02
A Comparison of Conjoint Measurement with Self-Explicated Approaches,imate that about 400 commercial applications were carried out per year during the early 1980s. In the 1990s this number probably exceeds 1000. The popularity of conjoint measurement appears to derive, at least in part, from its presumed superiority in validity over simpler, less expensive techniques
作者: CHANT    時(shí)間: 2025-3-22 09:26
Non-geometric Plackett-Burman Designs in Conjoint Analysis,er. Conjoint analysis shares the same theoretical basis as traditional design of experiments, but was originally used within the field of psychology and it was not until the early 1970s that the methodology was introduced into marketing research to form what is called conjoint analysis (Luce and Tuk
作者: Microgram    時(shí)間: 2025-3-22 14:41
On the Influence of the Evaluation Methods in Conjoint Design - Some Empirical Results,es of various product concepts (both real and hypothetical) are created, and these are presented to test persons for evaluation. The contributions (partial benefits) the various attributes make to overall preference (overall benefit) are estimated on the basis of overall preference judgments (Green
作者: Microgram    時(shí)間: 2025-3-22 17:02
Evolutionary Conjoint,igated in a large number of studies, it still remains ambiguous due to its unobservability and lack of an absolute scale unit (Teichert 2001a: 26): Whereas utility is praised as a quantitative indicator of consumer behavior, only preference judgments can be observed. These judgments contain error te
作者: 合同    時(shí)間: 2025-3-22 23:03

作者: Stagger    時(shí)間: 2025-3-23 04:50
Conjoint Preference Elicitation Methods in the Broader Context of Random Utility Theory Preference tent with the Random Utility Theory (RUT) paradigm. This allows us to accomplish the following objectives: explain how random utility theory provides a level playing field on which to compare preference elicitation methods, and why virtually all conjoint methods can be treated as a special case of a
作者: Bmd955    時(shí)間: 2025-3-23 08:55

作者: 佛刊    時(shí)間: 2025-3-23 10:46

作者: Emasculate    時(shí)間: 2025-3-23 17:04
Using Conjoint Choice Experiments to Model Consumer Choices of Product Component Packages,er modules from which consumers can create their own individualized products (e.g., Gilmore and Pine 1997). Traditional production processes limit consumer choices to fixed products defined by suppliers, but new mass-customization processes allow consumers to create their own optimal combination of
作者: 即席演說(shuō)    時(shí)間: 2025-3-23 21:28

作者: 不能強(qiáng)迫我    時(shí)間: 2025-3-24 00:38

作者: BRAWL    時(shí)間: 2025-3-24 04:45

作者: Coronation    時(shí)間: 2025-3-24 09:10
Sales Forecasting with Conjoint Analysis by Addressing Its Key Assumptions with Sequential Game Thevices. In general, conjoint analysis follows a two-step process, i.e., (1) estimating utilities for varying levels of product features and (2) simulating marketplace preferences for established, improved, and/or new products. Conjoint analysis was introduced in the 1970s (Green and Rao 1971) and by
作者: 圍巾    時(shí)間: 2025-3-24 12:42

作者: assail    時(shí)間: 2025-3-24 17:58

作者: 止痛藥    時(shí)間: 2025-3-24 21:49

作者: 預(yù)防注射    時(shí)間: 2025-3-24 23:37

作者: 沙漠    時(shí)間: 2025-3-25 05:08

作者: 鄙視    時(shí)間: 2025-3-25 10:58

作者: 空中    時(shí)間: 2025-3-25 14:11
Anders Gustafsson,Andreas Herrmann,Frank HuberLatest developments in conjoint analysis which is the most important multivariate technique in marketing.Covers all hot topics in the field.Includes supplementary material:
作者: 飾帶    時(shí)間: 2025-3-25 18:34
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作者: VALID    時(shí)間: 2025-3-25 21:53
Grundlagen Lager und Kommissionierung,). Usually this is be done by describing a number of product alternatives on a small number of attributes, including price, and collecting some kind of preference data for these product alternatives. From the estimated part-worth function for price one can infer price effects (Srinivasan 1979).
作者: 比賽用背帶    時(shí)間: 2025-3-26 00:11
,Transportgut — Verpackung — Ladeeinheit,es of various product concepts (both real and hypothetical) are created, and these are presented to test persons for evaluation. The contributions (partial benefits) the various attributes make to overall preference (overall benefit) are estimated on the basis of overall preference judgments (Green and Srinivasan 1978).
作者: acheon    時(shí)間: 2025-3-26 06:52

作者: Clumsy    時(shí)間: 2025-3-26 11:29
978-3-642-09056-1Springer-Verlag Berlin Heidelberg 2007
作者: 持久    時(shí)間: 2025-3-26 15:55

作者: BUCK    時(shí)間: 2025-3-26 17:22

作者: 啜泣    時(shí)間: 2025-3-26 21:39
Grundlagen Lager und Kommissionierung,dividual part-worth functions by predicting shares of choices for alternatives in hypothetical market scenarios (Wittink, Vriens and Burhenne 1994 and Baier 1999 for surveys on commercial applications). Wide-spread software packages for conjoint analysis (Sawtooth Software’s 1994 ACA system) already
作者: stratum-corneum    時(shí)間: 2025-3-27 01:46

作者: CRUMB    時(shí)間: 2025-3-27 07:44

作者: Parallel    時(shí)間: 2025-3-27 09:49
,Transportgut — Verpackung — Ladeeinheit,es of various product concepts (both real and hypothetical) are created, and these are presented to test persons for evaluation. The contributions (partial benefits) the various attributes make to overall preference (overall benefit) are estimated on the basis of overall preference judgments (Green
作者: pacific    時(shí)間: 2025-3-27 15:08
,Transportgut — Verpackung — Ladeeinheit,igated in a large number of studies, it still remains ambiguous due to its unobservability and lack of an absolute scale unit (Teichert 2001a: 26): Whereas utility is praised as a quantitative indicator of consumer behavior, only preference judgments can be observed. These judgments contain error te
作者: 表兩個(gè)    時(shí)間: 2025-3-27 21:06
https://doi.org/10.1007/978-3-8348-9242-3al applications of conjoint analysis include new product design based on the relationship between product features and predicted choice behavior, benefit segmentation based on attribute preferences, etc. The popularity of conjoint analysis among marketing researchers hinges on the belief that it pro
作者: Chronic    時(shí)間: 2025-3-27 23:08

作者: lethal    時(shí)間: 2025-3-28 05:57
Grundlagen Lager und Kommissionierung,espondents to repeatedly choose one alternative from different sets of profiles offered to them, instead of ranking or rating all profiles, as is usually done in various forms of classic metric conjoint studies. The Multinomial Logit (MNL) model has been the most frequently used model to analyze the
作者: exhilaration    時(shí)間: 2025-3-28 09:09
,Transportgut — Verpackung — Ladeeinheit,nalysis estimation method, Linmap, based on linear programming. Linmap has been applied successfully in many situations and has proven to be a viable alternative to statistical estimation (Jain, et. al. 1979, Wittink and Cattin 1981). Recent modification to deal with “strict pairs” has improved the
作者: 厭食癥    時(shí)間: 2025-3-28 14:28

作者: Insubordinate    時(shí)間: 2025-3-28 17:31
Grundlagen Lager und Kommissionierung,d price as predictors of consumer preference (e.g., Green and Rao 1971; Green and Wind 1973). Since then it has received considerable attention in academic research (see Green and Srinivasan 1978, 1990 for exhaustive reviews; and Louviere 1994 for a review of the behavioral foundations of conjoint a
作者: Choreography    時(shí)間: 2025-3-28 21:36

作者: 指令    時(shí)間: 2025-3-29 01:25

作者: 裂縫    時(shí)間: 2025-3-29 06:14

作者: BUST    時(shí)間: 2025-3-29 07:18

作者: 樹(shù)膠    時(shí)間: 2025-3-29 14:55

作者: 玩忽職守    時(shí)間: 2025-3-29 18:11

作者: Devastate    時(shí)間: 2025-3-29 20:55
Market Simulation Using a Probabilistic Ideal Vector Model for Conjoint Data,d individual choice probabilities and, consequently, to market shares for the alternatives. In this context, the determination of an adequate choice rule seems to be the most cumbersome task. Well-known traditional choice rules are, e.g., the 1ST CHOICE rule (where the individuals are assumed to alw
作者: 虛假    時(shí)間: 2025-3-30 02:49

作者: Isolate    時(shí)間: 2025-3-30 07:18

作者: 口味    時(shí)間: 2025-3-30 10:54

作者: Fillet,Filet    時(shí)間: 2025-3-30 13:35

作者: 輕快來(lái)事    時(shí)間: 2025-3-30 18:22

作者: 收到    時(shí)間: 2025-3-31 00:15

作者: 四目在模仿    時(shí)間: 2025-3-31 04:14
A Multi-trait Multi-method Validity Test of Partworth Estimates,fit segmentation based on attribute preferences, etc. The popularity of conjoint analysis among marketing researchers hinges on the belief that it produces valid measurements of consumer preferences for the features of a product or service, and that it provides accurate predictions of choice behavior.
作者: EXUDE    時(shí)間: 2025-3-31 09:03

作者: 含沙射影    時(shí)間: 2025-3-31 13:04

作者: Seminar    時(shí)間: 2025-3-31 15:01

作者: languid    時(shí)間: 2025-3-31 18:19

作者: 雄辯    時(shí)間: 2025-3-31 23:20
,Transportgut — Verpackung — Ladeeinheit,1980 had logged more than 1000 commercial applications (Cattin and Wittink 1982). During the 1980s usage increased tenfold (Wittink and Cattin 1989). Today it may be the most widely used quantitative product development tool in the U.S. and Europe (Wittink, Vriens, and Burhenne 1994).
作者: Glower    時(shí)間: 2025-4-1 03:07
and reactions (based on game theory), applications in diverse areas, computation of monetary equivalents of part worth, share/return optimisation (including Pareto frontier analysis), coupling of conjoint analysis with the perceptual and preference mapping of choice simulator results..978-3-642-09056-1978-3-540-71404-0
作者: 確認(rèn)    時(shí)間: 2025-4-1 07:46
,Transportgut — Verpackung — Ladeeinheit,ons, conjoint measurement is not clearly superior in validity to self-explicated approaches, it becomes highly questionable whether future applications for measuring customers’ preferences should be done by conjoint measurement, as self-explicated approaches are clear advantageous in terms of time and money effort.
作者: 和平主義    時(shí)間: 2025-4-1 13:04
Grundlagen Lager und Kommissionierung,ts could adopt the random utility model approach to explain gross trends or predilections in decisions instead of each person‘s specific decision in each choice presented. The real breakthrough for conjoint choice came with the Louviere and Woodworth (1983) article in which they integrated the conjoint and discrete choice approaches.
作者: BRIDE    時(shí)間: 2025-4-1 15:08
A Comparison of Conjoint Measurement with Self-Explicated Approaches,ons, conjoint measurement is not clearly superior in validity to self-explicated approaches, it becomes highly questionable whether future applications for measuring customers’ preferences should be done by conjoint measurement, as self-explicated approaches are clear advantageous in terms of time and money effort.




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