標(biāo)題: Titlebook: Conjoint Measurement; Methods and Applicat Anders Gustafsson,Andreas Herrmann,Frank Huber Book 20012nd edition Springer-Verlag Berlin Heide [打印本頁] 作者: BROOD 時(shí)間: 2025-3-21 19:46
書目名稱Conjoint Measurement影響因子(影響力)
書目名稱Conjoint Measurement影響因子(影響力)學(xué)科排名
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書目名稱Conjoint Measurement網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Conjoint Measurement被引頻次
書目名稱Conjoint Measurement被引頻次學(xué)科排名
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書目名稱Conjoint Measurement年度引用學(xué)科排名
書目名稱Conjoint Measurement讀者反饋
書目名稱Conjoint Measurement讀者反饋學(xué)科排名
作者: 送秋波 時(shí)間: 2025-3-21 22:44 作者: Militia 時(shí)間: 2025-3-22 03:05
Market Simulation Using a Probabilistic Ideal Vector Model for Conjoint Data,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: 傾聽 時(shí)間: 2025-3-22 08:14
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: 信任 時(shí)間: 2025-3-22 09:20 作者: 我的巨大 時(shí)間: 2025-3-22 15:47 作者: 我的巨大 時(shí)間: 2025-3-22 19:16
,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: 遷移 時(shí)間: 2025-3-23 00:09 作者: 友好關(guān)系 時(shí)間: 2025-3-23 01:50 作者: exceed 時(shí)間: 2025-3-23 09:26
Adaptive Conjoint Analysis: Understanding the Methodology and Assessing Reliability and Validity,cientific purpose generally to organize knowledge and direct research in attempt to describe or explain some aspect of nature” (Peter 1981, 134) for which “[...] measures can be developed which at least partially represent the constructs.” (Peter and Churchill 1986, 1). Consequently, measuring a con作者: OMIT 時(shí)間: 2025-3-23 11:47
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: 摸索 時(shí)間: 2025-3-23 15:30 作者: Perennial長期的 時(shí)間: 2025-3-23 20:49
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: Decibel 時(shí)間: 2025-3-23 22:59
Latent Class Models for Conjoint Analysis,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: granite 時(shí)間: 2025-3-24 05:50
A Generalized Normative Segmentation Methodology Employing Conjoint Analysis,rketing academic literature and practice. In addition to being one of the major ways of operationalizing the marketing concept, marketing segmentation provides guidelines for a firm’s marketing strategy and resource allocation among markets and products. Facing heterogeneous markets, a firm employin作者: Notify 時(shí)間: 2025-3-24 07:38
Dealing with Product Similarity in Conjoint Simulations,rs often arrive in the form of a software or spreadsheet program accompanying the output of a conjoint study. These simulators enable managers to perform ‘what if’ questions about their market—estimating market shares under various assumptions about competition and their own offerings. As examples, 作者: Paradox 時(shí)間: 2025-3-24 14:11 作者: 盡責(zé) 時(shí)間: 2025-3-24 17:59
https://doi.org/10.1007/978-3-642-66417-5). 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: 性冷淡 時(shí)間: 2025-3-24 21:27 作者: senile-dementia 時(shí)間: 2025-3-24 23:57
Transport of Day Old Chicks by Air” In this article, we would like to show how conjoint measurement can be used to find an answer to that question. Conjoint measurement is not the only building block for determining brand value, yet it is the foundation on which the “brand simulation model”, which we will introduce here, is built.作者: Decibel 時(shí)間: 2025-3-25 05:26
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: 四牛在彎曲 時(shí)間: 2025-3-25 07:33 作者: dearth 時(shí)間: 2025-3-25 14:19 作者: 滑稽 時(shí)間: 2025-3-25 17:39
Encyclopedia of Plant Physiologyn and Srinivasan 1978). Since its introduction into marketing literature by Green and Rao (1971) as well as by Johnson (1974) in the beginning of the 1970s, conjoint analysis has developed into a method of preference studies that receives much attention from both theoreticians and those who carry ou作者: Anticoagulants 時(shí)間: 2025-3-25 23:47
https://doi.org/10.1007/978-3-642-66417-5). 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: Irritate 時(shí)間: 2025-3-26 00:38 作者: Cognizance 時(shí)間: 2025-3-26 05:03
https://doi.org/10.1007/978-3-642-66417-5imate 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: glisten 時(shí)間: 2025-3-26 08:39
Energy Transfer between Cell Compartmentsting literature (Urban and Hauser 1993; Rogers 1995). The development of a software package, while not an exception to the more general models, presents a number of peculiarities which it is worth investigating (Urban and von Hippel 1988; Carmel 1995; Carmel and Becker 1995). The rate of technologic作者: Contracture 時(shí)間: 2025-3-26 15:41
Transport in Transition Regimeser. 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: 寬敞 時(shí)間: 2025-3-26 20:23 作者: 消瘦 時(shí)間: 2025-3-27 00:18
Russel E. Caflisch,Lorenzo Pareschihods. Dating back to the 70., rank-based conjoint analysis is traditionally used to approximate metric utility functions of individual respondents within its given limits (see overview in: Green and Srinivasan 1978, 1990). This approach constitutes the basis for many past academic research studies a作者: 上腭 時(shí)間: 2025-3-27 03:51
https://doi.org/10.1007/978-1-349-11439-9al 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: 圓桶 時(shí)間: 2025-3-27 08:14
Transport in a Free Market Economycientific purpose generally to organize knowledge and direct research in attempt to describe or explain some aspect of nature” (Peter 1981, 134) for which “[...] measures can be developed which at least partially represent the constructs.” (Peter and Churchill 1986, 1). Consequently, measuring a con作者: 制定法律 時(shí)間: 2025-3-27 11:03 作者: falsehood 時(shí)間: 2025-3-27 17:12
Mike Adamson,Wynne Jones,Robin Prattespondents 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: Ergots 時(shí)間: 2025-3-27 17:57 作者: Pander 時(shí)間: 2025-3-27 23:54 作者: Dri727 時(shí)間: 2025-3-28 03:03
Transport in the United Kingdomrketing academic literature and practice. In addition to being one of the major ways of operationalizing the marketing concept, marketing segmentation provides guidelines for a firm’s marketing strategy and resource allocation among markets and products. Facing heterogeneous markets, a firm employin作者: cortisol 時(shí)間: 2025-3-28 10:00 作者: 性冷淡 時(shí)間: 2025-3-28 10:50 作者: 沒有希望 時(shí)間: 2025-3-28 18:05
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: 衍生 時(shí)間: 2025-3-28 22:16 作者: 細(xì)微差別 時(shí)間: 2025-3-29 02:05
https://doi.org/10.1007/978-3-662-06392-7Brand; Choice-based Conjoint Analysis; Conjoint Measurement; Market Simulation; New Product Development; 作者: 中和 時(shí)間: 2025-3-29 06:29 作者: 蜈蚣 時(shí)間: 2025-3-29 10:32
Interactions between Nucleus and CytoplasmMany companies claim to be consumer-driven or focused. They often support this claim with evidence from extensive customer research programmes. They run focus groups, send out questionnaires, monitor customer satisfaction scores and analyse sales data.作者: 語言學(xué) 時(shí)間: 2025-3-29 14:50
Transport in Transition RegimesIt is clear that conjoint analysis has had a substantial impact upon research practice (Wittink and Cattin 1989; Wittink, Vriens and Burhenne 1994). Conjoint analysis has evolved, and along with that evolution has been a gradual shift in the types of responses collected, from rankings to ratings to choices.作者: 暗指 時(shí)間: 2025-3-29 19:36 作者: 思考才皺眉 時(shí)間: 2025-3-29 23:34
The Value of Extent-of-Preference Information in Choice-based Conjoint Analysis,It is clear that conjoint analysis has had a substantial impact upon research practice (Wittink and Cattin 1989; Wittink, Vriens and Burhenne 1994). Conjoint analysis has evolved, and along with that evolution has been a gradual shift in the types of responses collected, from rankings to ratings to choices.作者: 過于平凡 時(shí)間: 2025-3-30 02:43 作者: transplantation 時(shí)間: 2025-3-30 05:55
Market Simulation Using a Probabilistic Ideal Vector Model for Conjoint Data, 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 alwa作者: miscreant 時(shí)間: 2025-3-30 09:55
ic techniques (e.g., multidimensional scaling and correspondence analysis, cluster analy- sis, and general multivariate techniques) had already shown their value in practical business978-3-662-06392-7作者: 公豬 時(shí)間: 2025-3-30 12:29 作者: 不可知論 時(shí)間: 2025-3-30 16:31 作者: OPINE 時(shí)間: 2025-3-30 23:12
Encyclopedia of Plant Physiology 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 alwa作者: 誘惑 時(shí)間: 2025-3-31 02:34 作者: 施魔法 時(shí)間: 2025-3-31 05:49 作者: 使乳化 時(shí)間: 2025-3-31 12:24
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: 憤怒歷史 時(shí)間: 2025-3-31 14:06
Conjoint Preference Elicitation Methods in the Broader Context of Random Utility Theory Preference 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 much broader theoretical framework. We achieve this by:作者: 掃興 時(shí)間: 2025-3-31 20:20
Transport in a Free Market Economystruct implies that “numbers are assigned to objects [...] in such a way that the relations between the numbers reflect the relations between the objects [...] with respect to the characteristic involved” (Green, Tull and Albaum 1988, 243).作者: 深淵 時(shí)間: 2025-4-1 00:09
Transport in the United Kingdomg a market segmentation strategy can typically increase expected profitability as suggested by the classic price discrimination model which provides the major theoretical rationale for market segmentation (cf. Frank, Massey and Wind 1972).作者: dendrites 時(shí)間: 2025-4-1 01:53
