Estimating the weights for multiple attributes in a composite criterion using pairwise judgments

Srinivasan, V.; Shocker, Allan D.

doi:10.1007/bf02291490

Cited by 217 publications

(53 citation statements)

References 10 publications

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“…Griffin and Hauser 1993), 3) conjoint analysis (cf. Srinivasan and Shocker 1973, Green and Wind 1981, Green and Srinivasan 1990, 4) concept tests (cf. Urban, Hauser and Roberts 1990, Dahan and Srinivasan 2001, Dahan and Hauser 2002, and 5) focus groups (cf.…”

Section: Potential Benefits Vs Other Market Research Methodsmentioning

confidence: 99%

Securities Trading of Concepts (STOC)

Dahan

Kim

et al. 2008

SSRN Journal

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Identifying winning new product concepts can be a challenging process that requires insight into private consumer preferences. In order to measure consumer preferences for new product concepts, we apply a securities-trading approach where new product concepts are traded as financial securities: Securities Trading of Concepts (STOC). We apply this method because market prices are well known to efficiently collect and aggregate private information regarding the economic value of goods, services, and firms, particularly when trading financial securities. Our research includes the first application of securities markets to test potential new product concepts, and is the first to compare such an approach against stated-choice, conjoint, constantsum and longitudinal revealed preference data. In our research, we place STOC in the context of existing methodologies, as well as prior research on prediction markets and experimental economics. In the process, we put forth four hypotheses to test empirically through a series of experiments in multiple product categories, that STOC: 1) is more cost-efficient than other methods; 2) passes validity tests; 3) measures expectations of others; and 4) reveals individual preferences, not just those of the crowd. All hypotheses are confirmed, with the notable exception that STOC does not accurately predict actual product market shares and price sensitivity. Our results also show that traders exhibit bias based on self-preferences when trading. Ultimately, STOC offers two key advantages to traditional market research methodscost efficiency and scalability. For new product development (NPD) teams deciding where to invest product-development resources, this scalability may be especially important in the Web 2.0 world where customers are constantly interacting with firms and with each other in suggesting numerous product design possibilities that need to be screened.3

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Section: Potential Benefits Vs Other Market Research Methodsmentioning

confidence: 99%

Securities Trading of Concepts (STOC)

Dahan

Kim

et al. 2008

SSRN Journal

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“…From the early 70s, conjoint analysis has been considered as one of the major portfolios of techniques for measuring buyers' tradeoffs among multi-attributed products and services in both industry and academia (Green and Rao, 1971;Johnson, 1974;Srinivasan and Shocker, 1973). Green and Srinivasan (1978) described several advantages and limitations of the full-profile data collection method in comparison with the tradeoff procedure (two-factor-at-a-time method).…”

Section: State-of-the-artmentioning

confidence: 99%

An Intelligent Decision Support System for Workforce Forecast

Wan¹,

Chen²,

Kuriger³

2011

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information , 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY) 05-01-2011 REPORT TYPE 7184D214 PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION REPORT NUMBERThe University of Texas at San Antonio One UTSA Circle San Antonio TX 78249 SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR'S ACRONYM(S)Air SPONSOR/MONITOR'S REPORT NUMBER(S)AFRL-RH-WP-TR-2011-0019 DISTRIBUTION / AVAILABILITY STATEMENTDistribution A: Approved for public release; distributed is unlimited. SUPPLEMENTARY NOTES88ABW/PA cleared on 23 Feb 2011, 88ABW-2011-0727. ABSTRACTThe main objective of this project is to enhance the effectiveness of workforce forecast and deployment through innovative approaches of artificial intelligence. The research included a final document of conventional and innovative methods of workforce forecasting and a decision support software program incorporating advanced artificial intelligence techniques for workforce forecasting. SUBJECT TERMS ABSTRACTThis project studies workforce forecasting in two main aspects: (1) an extensive review of the existing methodologies and techniques and (2) an effort to develop a decision support system with models and software programming. The main objective of this project is to enhance the effectiveness of workforce forecasting and deployment through innovative approaches of artificial intelligence. The deliverables include a summary report of conventional and innovative methods of workforce forecasting (Part I) and a decision support software program using artificial intelligence techniques for workforce forecasting (Part II).Part I, provided a thorough literature review of fundamental research and practices of demand and supply forecasting techniques for workforce analysis. Over 300 relevant literatures have been identified and reviewed by the project team, and 289 of them are covered in this report.Following is a summary of the main contents and contributions of Part I:• This report provides an extensive review of the fundamental knowledge, applications, guidelines, and scope of use of various workforce forecasting methods.• A decision tree has been proposed for selecting an appropriate forecasting ...

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“…Remarkable are several articles published in Psychometrika, one of the leading journals in methodical developments that emphasize the referenced focus of methodical development and establishment. Works of Kruskal (1965), Krantz and Tversky (1971) and, more narrowly focused (see FS<FL), Srinivasan and Shocker (1973) are important milestones of the methodical foundation of conjoint. The most prominent author within this factor is Green.…”

Section: Research Streams and Key Issuesmentioning

confidence: 99%

Investigating Research Streams of Conjoint Analysis: A Bibliometric Study

Teichert

Shehu

2010

Bus Res

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Conjoint analysis (CA) is one of the most important methods for preference elicitation. In this paper we investigate the intellectual structure within the conjoint analytical research community. Analyses based on single papers provide a method-based overview of streams of conjoint research. By using novel bibliometric techniques in this field we complement findings of existing reviews. We use co-citation and factor analysis of the most cited articles in SSCI to identify the most important articles and research streams. Seven research streams are revealed which are visualized by means of multidimensional scaling. Tables and graphics reveal the disciplinary affiliations of contributors to CA, the special structure within the classes as well as links between them.

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Estimating the weights for multiple attributes in a composite criterion using pairwise judgments

Cited by 217 publications

References 10 publications

Securities Trading of Concepts (STOC)

Securities Trading of Concepts (STOC)

An Intelligent Decision Support System for Workforce Forecast

Investigating Research Streams of Conjoint Analysis: A Bibliometric Study

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