O

Oates, M.B., Stanek, E.J., McGhan, W.F., DeNofrio, D. & Loh, E. (2000). PCD24: Conjoint analysis comparing preferences for treatment outcomes in heart failure and healthy patients: Longevity versus symptom relief. Value in Health, 3 (2), 76.

Ogawa, K. (1987). An approach to simultaneous estimation and segmentation in conjoint analysis. Marketing Science, 6 (Winter), 66-81.

Ogle, S.R. (1986). Conjoint models cannot live on trade-offs alone. Marketing News, 20 (19), 22.

Ohlwein, M, Schellhase, R. & Franken, B. (1998). Conjoint Analysis as an instrument for marketing controlling in service companies. Example: Mannheim National Theater. Developments in Marketing Science, 21, 142-147.

Ohmae, K. (1989). The strategic triangle. In V.J. Cook, J.-C. Larreche & E.C. Strong (Eds.), Readings in marketing strategy (2nd ed., pp. 53-55). Redwood City, CA: The Scientific Press.

Okechuku, C. (1994). The importance of product country of origin: A conjoint analysis of the United States, Canada, Germany and the Netherlands. European Journal of Marketing, 28 (4), 5-19.

Oldenburg, S. & Seidlmeier, H. (1997). Anwendung von Wertkettenkonzept und Conjoint-Analyse beim Reengineering öffentlicher Unternehmen. In M. Nippa & H. Scharfenberg (Hrsg.), Implementierungsmanagement - über die Kunst, Reengineeringkonzepte erfolgreich umzusetzen (S. 221-242). Wiesbaden: Gabler.

Oliphant, K., Eagle, T.C., Louviere, J. & Anderson, D. (1992). Cross-task comparison of ratings-based and choice-based conjoint. In M. Metegrano (Ed.), 1992 Proceedings of the Sawtooth Software Conference (pp. 383-404). Ketchum, ID: Sawtooth Software.

Olshavsky, R.W. & Acito, F. (1980). An information processing probe into conjoint analysis. Decision Sciences, 11, 451-470.

Olshavsky, R.W. & Granbois, D.H. (1979). Consumer decision making - fact or fiction? Journal Consumer Research, 6, 93-100.

Opaluch, J., Swallow, S., Weaver, T., Wessells, C., Wichelns, D. (1993). Evaluating impacts from noxious facilities: including public preferences in current siting mechanisms. Journal of Environmental Economics and Management, 24, 41-59.

Oppedijk van Veen, W.M. & Beazley, D. (1977). An investigation of alternative methods of applying the trade-off model. Journal of the Market Research Society, 19, 2-11.

Oppermann, R. & Schubert, B. (1994). Konzeption der Dienstleistung "Studienreise" mittels Conjoint-Analyse. Der Markt, 128, 23-30.

Oppewal, H. (1995a). A review of conjoint software. Journal of Retailing and Consumer Services, 2 (1), 55-61.

Oppewal, H. (1995b). A review of choice-based conjoint software: CBC and MINT. Journal of Retailing and Consumer Services, 2 (4), 259-264.

Oppewal, H. & Timmermans, H.J.P. (1999). Modeling consumer perception of public space in shopping centers. Environment and Behavior, 31 (1), 45-65.

Oppewal, H. & Vriens, M. (2000). Measuring perceived service quality using integrated conjoint experiments. International Journal of Bank Marketing, 18 (4), 154-169.

Oppewal, H., Louviere, J.J. & Timmermans, H.J.P. (1994). Modeling hierarchical conjoint processes with integrated choice experiments. Journal of Marketing Research, 26, 92-105.

Orme, B. (1998). Reducing the number-of-levels effect in ACA with optimal weighting. Working paper, Sawtooth Software.

Orme, B.K. & Heft, M.A. (1999). Predicting actual sales with CBC: How capturing heterogeneity improves results. In Proceedings of the Sawtooth Software Conference (No. 7, pp. 183-200). Sequim, WA: Sawtooth Software.

Orme, B.K., Alpert, M.I. & Christensen, E. (1997). Assessing the validity of conjoint analysis--continued. Working Paper, Sawtooth Software, Sequim, WA.

Orme, B. & Baker, G. (2000). Comparing hierachical Bayes draws and randomized first choice for conjoint simulations. In Proceedings of the Sawtooth Software Conference (No. 8, pp. 239-254). Sequim, WA: Sawtooth Software.

Orme, B.K. & King, W.C. (1998). Conducting full-profile conjoint analysis over the internet. Working paper, Sawtooth Software.

Ostrom, A. & Iacobucci, D. (1995). Consumer trade-offs and the evaluation of services. Journal of Marketing, 59 (January), 17-28.

Otter, T. (2001). Conjointanalyse zur Messung und Erklärung von Markenwert. Wien: Service-Fachverlag.

Otter, T. & Strebinger, A. (1998). Estimating conjoint-partworth variation using a random coefficient model and the Kalman filter. In L. Pelton & P. Schnedlitz (Eds.), Marketing Exchange Colloquium (pp. 211-220). Vienna: American Marketing Association.

Ozer, M. (1999). A survey of new product evaluation models. Journal of Product Innovation Management, 16 (1), 77-94.

P

Paffrath, R. (1997). Practical ways to minimize the IIA-bias in simulation models. In Proceedings of the Sawtooth Software Conference (No. 6, pp. 91-116). Seattle, WA: Sawtooth Software.

Page, A.L. & Rosenbaum, H.F. (1987). Redesigning product lines with conjoint analysis: How sunbeam does it. Journal of Product Innovation Management, 4, 120-137.

Page, A.L. & Rosenbaum, H.F. (1992). Developing an effective concept testing program for consumer durables. Journal of Product Innovation Management, 9, 267-277.

Palakurthi, R.R. & Getty, J.M. (1998). A procedure for scaling service quality tradeoffs among restaurant managers: Traditional conjoint techniques for international application. Journal of International Hospitality Leisure and Tourism Management, 1 (3), 3-20.

Palakurthi, R.R. (1991). Designing a mobile hotel system using metric hybrid conjoint analysis technique. Unpublished master’s thesis, Purdue University, West Lafayette, Indiana.

Palloks, M. (1995). Kundenorientierung und Kostenmanagement. Ein Fallbeispiel zum integrierten Einsatz von Conjoint-Analyse und modernem Zielkostenmanagement bei Produktentscheidungen. Marktforschung & Management, 39, 119-124.

Parker, B.R. & Srinivasan V. (1976). A consumer preference approach to the planning of rural primary health-care facilities. Operations Research, 24, 991-1025.

Parker, S. & Schneider, B. (1988). Conjoint scaling of the utility of money using paired comparisons. Social Science Research, 17, 277-286.

Pavia, T.M., Moore, W.L., Mehta, R.B. & Ottum, B.D. (1993). Using only the most important attributes in conjoint analysis. Working paper, David Eccles School of Business, University of Utah.

Pavia, T.M., Moore, W.L., Mehta, R.B. & Ottum, B.D. (1994). Using only the most important attributes in conjoint analysis. Working paper, David Eccles School of Business, University of Utah.

Pavia, T.M., Moore, W.L., Mehta, R.B. & Ottum, B.D. (1996). Using only the most important attributes in conjoint analysis. Working paper, David Eccles School of Business, University of Utah.

Pekelman, D. & Sen, S. (1974). Utility function estimation in conjoint measurement. In R.C. Curhan (Ed.), 1974 AMA Combined Proceedings: New Marketing for Social and Economic Progress and Marketing’s Contributions to the Firm and to the Society (Series No. 36, pp. 156-161). Chicago, IL: American Marketing Association.

Pekelman, D. & Sen, S.K. (1979a). Measurement and estimation of conjoint utility functions. Journal of Consumer Research, 5, 263-271.

Pekelman, D. & Sen, S.K. (1979b). Improving prediction in conjoint measurement. Journal of Marketing Research, 16, 211-220.

Percy, L. (1982). Multi-method convergence for strategic planning. In R.K. Srivastava & A.D. Shocker (Eds.), Analytic approaches to product and marketing planning: The second conference (No. 82-109, pp. 321-336). Cambridge, MA: Marketing Science Institute

Perkins, W.S. (1992). Incorporating consumer judgments into aggregate choice models. In J.F. Sherry & B. Sternthal (Eds.), Advances in consumer research (No. 19, pp. 644-648). Provo, UT: Association for Consumer Research.

Perreault, W.D. & Russ, F.A. (1977). Improving physical distribution service decisions with trade-off analysis. International Journal of physical Distribution and Materials Management, 7, 3-19.

Perrey, J. (1996). Erhebungsdesign-Effekte bei der Conjoint-Analyse. Marketing ZFP, 2, 105-116.

Perrey, J. (1998). Nutzenorientierte Marktsegmentierung: Ein integrativer Ansatz zum Zielgruppenmarketing im Verkehrsdienstleistungsbereich. Wiesbaden: Gabler.

Pessemier, E.A., Burger, P., Teach, R. & Tigert, D. (1971). Using laboratory brand preference scales to predict consumer brand purchases. Management Science, 17, 371-385.

Pfeufer-Kinnel, G. (1998). Preismanagement in Kreditinstituten: Ein integrierter Ansatz. Wiesbaden: Deutscher Univ.-Verlag.

Philips, K.A., O’Brien, B., Skolnik, H. & Johnson, T.R. (2000). CEB5: Measuring patient preferences using conjoint analysis: A new approach. Value in Health, 3 (2), 66.

Pilon, T. (1997). Extensions to the analysis of choice studies. In Proceedings of the Sawtooth Software Conference (No. 6, pp. 155-172). Seattle, WA: Sawtooth Software.

Pilon, T.L. (1991). Comment on MacLanchlan and Mulhern. In M. Metegrano (Ed.), 1991 Sawtooth Software Conference Proceedings (pp. 141-142). Ketchum, ID: Sawtooth Software.

Pinnell, J. & Englert, S. (1997). The number of choice alternatives in discrete choice modeling. In Proceedings of the Sawtooth Software Conference (No. 6, pp. 121-153). Seattle, WA: Sawtooth Software.

Pinnell, J. & Olsen, P. (1993). Using choice-based conjoint to assess brand strength and price sensitivity. In S. Weiss (Ed.), Sawtooth News (No. 9 (3), pp. 4-5). Evanston, IL: Sawtooth Software.

Pinnell, J. (1992). Comment on Huisman. In M. Metegrano (Ed.), 1992 Sawtooth Software Conference Proceedings (pp. 211-213). Ketchum, ID: Sawtooth Software.

Pinnell, J. (1994/1995). Multi-stage conjoint methods to measure price sensitivity. In S. Weiss (Ed.), Sawtooth News (No. 10 (2), pp. 5-6.). Ketchum, ID: Sawtooth Software. zugleich: Pinnell, J. (1994, June). Multi-stage conjoint methods to measure price sensitivity. Paper presented at the Advanced Research Techniques (ART) Forum in Beaver Creek, CO.

Pinnell, J. (1999). Should choice researchers always use 'pick one' respondent tasks? In Proceedings of the Sawtooth Software Conference (No. 7, pp. 207-224). Sequim, WA: Sawtooth Software.

Pinnell, J. (2000). Customized choice designs: Incorporating prior knowledge and utility balance in choice experiments. In Proceedings of the Sawtooth Software Conference (No. 8, pp. 179-193). Sequim, WA: Sawtooth Software.

Pliskin, J.S. (1999). Towards better decision making in growth hormone therapy. Hormone Research, 51 (S1), 30-35.

Poggenpohl, M. (1994). Verbundanalyse im Einzelhandel auf der Grundlage von Kundenkarteninformationen: Eine empirische Untersuchung von Verbundbeziehungen zwischen Abteilungen. Frankfurt am Main: Lang.

Porst, R., Schneid, M. & van Brouwershaven, J.W. (1994). Computer-assisted interviewing in social and market research. Unpublished Paper (pp. 1-21), SKIM Market and Policy Research, Rotterdam.

Poulsen, C.S. & Gregersen, M. (1992). Segmentation research and latent class models. Marketing Opportunities with Advanced Research Techniques: Proceedings of the second SKIM Seminar (pp. 69-92). Rotterdam: SKIM Market and Policy Research.

Poynter, R. (1992a). Comment on Hattori. In M. Metegrano (Ed.), 1992 Sawtooth Software Conference Proceedings (pp. 223-224). Ketchum, ID: Sawtooth Software.

Poynter, R. (1992b). The need to ensure that positive attributes are turned into marketable benefits. In Marketing opportunities with advanced research techniques: Proceedings of the second SKIM Seminar (pp. 59-68). Rotterdam: SKIM Market and Policy Research.

Poynter, R. (1999). But why? Putting the understanding into conjoint. In Proceedings of the Sawtooth Software Conference (No. 7, pp. 23-30). Sequim, WA: Sawtooth Software.

Poynter, R. (2000). Creating test data to objectively assess conjoint and choice algorithms. In Proceedings of the Sawtooth Software Conference (No. 8, pp. 141-151). Sequim, WA: Sawtooth Software.

Praag, B.M.S. van, Slootman, K., Stam, P., Ophem, H. van, Wijnbergen, W. & Praag, C.M. van (1996). The demand for concerts of classical music - decision support for the scenario-planning of orchestras by means of ROA-analysis. Marketing and Research Today, 24 (1), 27-35.

Priem, R.L. (1992). An application of metric conjoint analysis for the evaluation of top managers’ individual strategic decision making process: A research note. Strategic Management Journal, 13, 143-151.

Propper, C. (1995). The disutility of time spent on the United Kingdom’s National Health Service waiting lists. The Journal of Human Resources, 30, 677-700.

Pullman, M.E. & Moore, W.L. (1999). Optimal service design: Integrating marketing and operations perspectives. International Journal of Service Industry Management, 10 (2), 239-261.

Pullman, M.E., Dodson, K.J. & Moore, W.L. (1999). A comparison of conjoint methods when there are many attributes. Marketing Letters, 10 (2), 125-138.