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.
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.