Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
16031 | 677 | 32.2 | 40% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
1 | 4 | ECONOMICS//EDUCATION & EDUCATIONAL RESEARCH//PSYCHOL | 3876184 |
598 | 3 | CONTINGENT VALUATION//WILLINGNESS TO PAY//FOOD QUALITY AND PREFERENCE | 14699 |
1397 | 2 | CONTINGENT VALUATION//WILLINGNESS TO PAY//CHOICE EXPERIMENT | 8091 |
16031 | 1 | CONJOINT ANALYSIS//PRODUCT LINE DESIGN//PRODUCT POSITIONING | 677 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | CONJOINT ANALYSIS | authKW | 523663 | 15% | 12% | 100 |
2 | PRODUCT LINE DESIGN | authKW | 360797 | 3% | 40% | 20 |
3 | PRODUCT POSITIONING | authKW | 162159 | 2% | 28% | 13 |
4 | JOURNAL OF MARKETING RESEARCH | journal | 160569 | 12% | 4% | 80 |
5 | PREFERENCE MEASUREMENT | authKW | 135296 | 1% | 33% | 9 |
6 | CHOICE BASED CONJOINT ANALYSIS | authKW | 120263 | 1% | 33% | 8 |
7 | MARKETING SCIENCE | journal | 98296 | 7% | 4% | 50 |
8 | ADAPTIVE QUESTIONS | authKW | 90205 | 0% | 100% | 2 |
9 | ATTRIBUTE SCREENING | authKW | 90205 | 0% | 100% | 2 |
10 | BUYERS WELFARE | authKW | 90205 | 0% | 100% | 2 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Business | 48012 | 49% | 0% | 331 |
2 | Management | 4744 | 18% | 0% | 125 |
3 | Operations Research & Management Science | 4666 | 19% | 0% | 129 |
4 | Engineering, Industrial | 1310 | 8% | 0% | 53 |
5 | Psychology, Mathematical | 259 | 1% | 0% | 10 |
6 | Social Sciences, Mathematical Methods | 190 | 2% | 0% | 15 |
7 | Communication | 114 | 2% | 0% | 12 |
8 | Hospitality, Leisure, Sport & Tourism | 101 | 1% | 0% | 8 |
9 | Engineering, Mechanical | 81 | 4% | 0% | 30 |
10 | Mathematics, Interdisciplinary Applications | 47 | 2% | 0% | 16 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | ABORAT OUTCOMES EVALUT | 45103 | 0% | 100% | 1 |
2 | ASME MECH ENGN DESIGN SCI | 45103 | 0% | 100% | 1 |
3 | CEERD IS | 45103 | 0% | 100% | 1 |
4 | FOOD AGR ANDTECHNOL CREDA UPC IRTA | 45103 | 0% | 100% | 1 |
5 | INFORMAT SYST ELECT MARKETS | 45103 | 0% | 100% | 1 |
6 | INT MAURITIUS | 45103 | 0% | 100% | 1 |
7 | LEERSTOELGRP AGR BEDRIJFSECON | 45103 | 0% | 100% | 1 |
8 | MASTER DESIGN INTERDISCIPLINARY DESIGN PROGRAMME | 45103 | 0% | 100% | 1 |
9 | MNE | 45103 | 0% | 100% | 1 |
10 | PMQ AREA | 45103 | 0% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | JOURNAL OF MARKETING RESEARCH | 160569 | 12% | 4% | 80 |
2 | MARKETING SCIENCE | 98296 | 7% | 4% | 50 |
3 | JOURNAL OF PRODUCT INNOVATION MANAGEMENT | 30958 | 4% | 2% | 29 |
4 | INTERNATIONAL JOURNAL OF MARKET RESEARCH | 19449 | 2% | 3% | 15 |
5 | INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING | 16392 | 2% | 2% | 15 |
6 | ADVANCES IN CONSUMER RESEARCH | 12563 | 4% | 1% | 26 |
7 | JOURNAL OF MECHANICAL DESIGN | 8738 | 4% | 1% | 25 |
8 | MARKETING LETTERS | 8671 | 1% | 2% | 10 |
9 | DECISION SCIENCES | 6710 | 2% | 1% | 14 |
10 | JOURNAL OF THE MARKET RESEARCH SOCIETY | 5682 | 1% | 2% | 7 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | CONJOINT ANALYSIS | 523663 | 15% | 12% | 100 | Search CONJOINT+ANALYSIS | Search CONJOINT+ANALYSIS |
2 | PRODUCT LINE DESIGN | 360797 | 3% | 40% | 20 | Search PRODUCT+LINE+DESIGN | Search PRODUCT+LINE+DESIGN |
3 | PRODUCT POSITIONING | 162159 | 2% | 28% | 13 | Search PRODUCT+POSITIONING | Search PRODUCT+POSITIONING |
4 | PREFERENCE MEASUREMENT | 135296 | 1% | 33% | 9 | Search PREFERENCE+MEASUREMENT | Search PREFERENCE+MEASUREMENT |
5 | CHOICE BASED CONJOINT ANALYSIS | 120263 | 1% | 33% | 8 | Search CHOICE+BASED+CONJOINT+ANALYSIS | Search CHOICE+BASED+CONJOINT+ANALYSIS |
6 | ADAPTIVE QUESTIONS | 90205 | 0% | 100% | 2 | Search ADAPTIVE+QUESTIONS | Search ADAPTIVE+QUESTIONS |
7 | ATTRIBUTE SCREENING | 90205 | 0% | 100% | 2 | Search ATTRIBUTE+SCREENING | Search ATTRIBUTE+SCREENING |
8 | BUYERS WELFARE | 90205 | 0% | 100% | 2 | Search BUYERS+WELFARE | Search BUYERS+WELFARE |
9 | CONJOINT CHOICE DESIGNS | 90205 | 0% | 100% | 2 | Search CONJOINT+CHOICE+DESIGNS | Search CONJOINT+CHOICE+DESIGNS |
10 | CONSUMER HEURISTICS | 90205 | 0% | 100% | 2 | Search CONSUMER+HEURISTICS | Search CONSUMER+HEURISTICS |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | VOETH, M , HERBST, U , LIESS, F , (2013) WE KNOW EXACTLY WHAT YOU WANT THE DEVELOPMENT OF A COMPLETELY INDIVIDUALISED CONJOINT ANALYSIS.INTERNATIONAL JOURNAL OF MARKET RESEARCH. VOL. 55. ISSUE 3. P. 437 -458 | 45 | 70% | 0 |
2 | HADJINICOLA, GC , CHARALAMBOUS, C , MULLER, E , (2013) PRODUCT POSITIONING USING A SELF-ORGANIZING MAP AND THE RINGS OF INFLUENCE.DECISION SCIENCES. VOL. 44. ISSUE 3. P. 431 -461 | 29 | 71% | 2 |
3 | GREEN, PE , SRINIVASAN, V , (1990) CONJOINT-ANALYSIS IN MARKETING - NEW DEVELOPMENTS WITH IMPLICATIONS FOR RESEARCH AND PRACTICE.JOURNAL OF MARKETING. VOL. 54. ISSUE 4. P. 3-19 | 27 | 84% | 711 |
4 | KUZMANOVIC, M , MARTIC, M , (2012) AN APPROACH TO COMPETITIVE PRODUCT LINE DESIGN USING CONJOINT DATA.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 39. ISSUE 8. P. 7262 -7269 | 22 | 85% | 5 |
5 | STEINER, WJ , (2010) A STACKELBERG-NASH MODEL FOR NEW PRODUCT DESIGN.OR SPECTRUM. VOL. 32. ISSUE 1. P. 21 -48 | 21 | 88% | 7 |
6 | NETZER, O , SRINIVASAN, V , (2011) ADAPTIVE SELF-EXPLICATION OF MULTIATTRIBUTE PREFERENCES.JOURNAL OF MARKETING RESEARCH. VOL. 48. ISSUE 1. P. 140-156 | 23 | 74% | 14 |
7 | TSAFARAKIS, S , SARIDAKIS, C , BALTAS, G , MATSATSINIS, N , (2013) HYBRID PARTICLE SWARM OPTIMIZATION WITH MUTATION FOR OPTIMIZING INDUSTRIAL PRODUCT LINES: AN APPLICATION TO A MIXED SOLUTION SPACE CONSIDERING BOTH DISCRETE AND CONTINUOUS DESIGN VARIABLES.INDUSTRIAL MARKETING MANAGEMENT. VOL. 42. ISSUE 4. P. 496 -506 | 30 | 53% | 9 |
8 | GUYON, H , PETIOT, JF , (2011) MARKET SHARE PREDICTIONS A NEW MODEL WITH RATING-BASED CONJOINT ANALYSIS.INTERNATIONAL JOURNAL OF MARKET RESEARCH. VOL. 53. ISSUE 6. P. 831 -857 | 22 | 76% | 2 |
9 | HUANG, DL , LUO, L , (2016) CONSUMER PREFERENCE ELICITATION OF COMPLEX PRODUCTS USING FUZZY SUPPORT VECTOR MACHINE ACTIVE LEARNING.MARKETING SCIENCE. VOL. 35. ISSUE 3. P. 445 -464 | 22 | 63% | 1 |
10 | GREEN, PE , KRIEGER, AM , WIND, Y , (2001) THIRTY YEARS OF CONJOINT ANALYSIS: REFLECTIONS AND PROSPECTS.INTERFACES. VOL. 31. ISSUE 3. P. S56 -S73 | 23 | 77% | 143 |
Classes with closest relation at Level 1 |