Abstract
This study examines the presence and impact of complex alternative organizational configurations of pricing on firm performance. The dataset is from a survey of company owners and company CEOs, of which a subsample was used previously and analyzed with multiple regression analysis. Analyzing an enlarged dataset that includes new data using fuzzy-set qualitative comparative analysis (fsQCA) supports the perspective that multiple price policy paths are identifiable for indicating high performance for different firm operational contexts. By applying the perspective of complex interdependences of specific pricing activities and specific organizational configurations related to pricing, this study offers a nuanced contribution to marketing theory. To practicing managers, this study offers guidance for adopting specific configurations of pricing policies in specific contexts for achieving high firm performance as well as guidance on which configurations indicate negative firm performance outcomes.
Similar content being viewed by others
Notes
The tilde “ ~ ” is used to indicate the negation of a condition (mathematically, ~ high firm performance = 1 – high firm performance).
References
Aeppel, T. 2002. Amid weak inflation, firms turn creative to boost prices. Wall Street Journal, May 7. Retrieved from http://www.wsj.com/articles/SB1032298252917585555.
Anderson, C.R., and F.T. Paine. 1975. Managerial perceptions and strategic behavior. Academy of Management Journal 18 (4): 811–823.
Anderson, J., J. Narus, and D. Narayandas. 2008. Business market management: Understanding, creating, and delivering value, 3rd ed. Upper Saddle River, NJ: Prentice Hall.
Armstrong, J., and T. Overton. 1977. Estimating nonresponse bias in mail surveys. Journal of Marketing Research 14: 396–402.
Calantone, R., R. Garcia, and C. Dröge. 2003. The effects of environmental turbulence on new product development strategy planning. Journal of Product Innovation Management 20 (2): 90–103.
Carson, D., A. Gilmore, D. Cummins, A. O’Donnell, and K. Grant. 1998. Price setting in SMEs: Some empirical findings. Journal of Product & Brand Management 7 (1): 74–86.
Dean, J. 1969. Pricing pioneering products. Journal of Industrial Economics 17 (3): 165–179.
Dess, G., and R. Robinson. 1984. Measuring organizational performance in the absence of objective measures: The case of the privately-held firm and conglomerate business unit. Strategic Management Journal 5 (3): 265–273.
Docters, R., R. Katz, J. Bernstein, and B. Schefers. 2010. Is the price right? Strategies for new introductions. Journal of Business Strategy 31 (3): 29–37.
Dutta, S., M. Bergen, D. Levy, M. Ritson, and M. Zbaracki. 2002. Pricing as a strategic capability. MIT Sloan Management Review 43 (3): 61–66.
Dutta, S., M.J. Zbaracki, and M. Bergen. 2003. Pricing process as a capability: A resource-based perspective. Strategic Management Journal 24 (7): 615–630.
Eggert, A., W. Ulaga, P. Frow, and A. Payne. 2018. Conceptualizing and communicating value in business markets: From value in exchange to value in use. Industrial Marketing Management 69: 80–90.
Elbanna, S., and J. Child. 2007. Influences on strategic decision effectiveness: Development and test of an integrative model. Strategic Management Journal 28 (4): 431–453.
Eling, K., A. Griffin, and F. Langerak. 2014. Using intuition in fuzzy front-end decision-making: A conceptual framework. Journal of Product Innovation Management 31 (5): 956–972.
Eling, K., F. Langerak, and A. Griffin. 2015. The performance effects of combining rational and intuitive approaches in making new product idea evaluation decisions. Creativity and Innovation Management 24 (3): 464–477.
Evans, J.S.B.T. 2008. Dual-processing accounts of reasoning, judgment, and social cognition. Annual Review of Psychology 59: 255–278.
Feurer, S., E. Baumbach, and A. Woodside. 2016. Applying configurational theory to build a typology of ethnocentric consumers. International Marketing Review 33 (3): 1–48.
Feurer, S., M.C. Schuhmacher, and S. Kuester. 2018. How pricing teams develop effective pricing strategies for new products. Journal of Product Innovation Management. https://doi.org/10.1111/jpim.12444.
Fiss, P.C. 2011. Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of Management Journal 54 (2): 393–420.
Galbraith, J.R. 1974. Organization design: An information processing view. Interfaces 4 (3): 28–36.
Gallagher, T., M.D. Mitchke, and M.C. Rogers. 2005. Profiting from spare parts. McKinsey Quarterly, February. Retrieved from https://pdfs.semanticscholar.org/aa41/f179d2f3579438454bc27a79396cd20eff49.pdf.
Gatignon, H., and J.-M. Xuereb. 2016. Strategic orientation of the firm and new product performance. Journal of Marketing Research 34 (1): 77–90.
Gigerenzer, G. 1991. From tools to theories: A heuristic of discovery in cognitive psychology. Psychological Review 98 (2): 254–267.
Gummesson, E. 2008. Extending the service-dominant logic: From customer centricity to balanced centricity. Journal of the Academy of Marketing Science 36 (1): 15–17.
Hinterhuber, A. 2015. Violations of rational choice principles in pricing decisions. Industrial Marketing Management 47 (May): 65–74.
Hinterhuber, A. 2017. Value quantification capabilities in industrial markets. Journal of Business Research 76: 163–178.
Hinterhuber, A., and S.M. Liozu. 2012a. Is it time to rethink your pricing strategy? MIT Sloan Management Review 53 (4): 69–77.
Hinterhuber, A., and S.M. Liozu. 2012b. Innovation in pricing: Contemporary theories and best practices. Abingdon: Routledge.
Hoeffler, S. 2003. Measuring preferences for really new products. Journal of Marketing Research 40 (4): 406–421.
Homburg, C., O. Jensen, and A. Hahn. 2012. How to organize pricing? Vertical delegation and horizontal dispersion of pricing authority. Journal of Marketing 76 (5): 49–69.
Howell, J., C. Shea, and C. Higgins. 2005. Champions of product innovations: Defining, developing, and validating a measure of champion behavior. Journal of Business Venturing 20 (5): 641–661.
Hultink, E.J., A. Griffin, H.S.J. Robben, and S. Hart. 1998. In search of generic launch strategies for new products. International Journal of Research in Marketing 15 (3): 269–285.
Hultink, E.J., S. Hart, H.S.J. Robben, and A. Griffin. 2000. Launch decisions and new product success: An empirical comparison of consumer and industrial products. Journal of Product Innovation Management 17 (1): 5–23.
Ilgen, D.R., J.R. Hollenbeck, M. Johnson, and D. Jundt. 2005. Teams in organizations: From input-process-output models to IMOI models. Annual Review of Psychology 56: 517–543.
Ingenbleek, P. 2007. Value-informed pricing in its organizational context: Literature review, conceptual framework, and directions for future research. Journal of Product & Brand Management 16 (7): 441–458.
Ingenbleek, P., M. Debruyne, R.T. Frambach, and T.M.M. Verhallen. 2003. Successful new product pricing practices: A contingency approach. Marketing Letters 14 (4): 289–305.
Ingenbleek, P.T.M., R.T. Frambach, and T.M.M. Verhallen. 2010. The role of value-informed pricing in market-oriented product innovation management. Journal of Product Innovation Management 27 (7): 1032–1046.
Ingenbleek, P.T.M., R.T. Frambach, and T.M.M. Verhallen. 2013. Best practices for new product pricing: Impact on market performance and price level under different conditions. Journal of Product Innovation Management 30 (3): 560–573.
Ingenbleek, P.T.M., and I.A. van der Lans. 2013. Relating price strategies and price-setting practices. European Journal of Marketing 47 (1): 27–48.
Kleinschmidt, E.J., and R.G. Cooper. 1991. The impact of product innovativeness on performance. Journal of Product Innovation Management 8 (4): 240–251.
Knight, A. (2004). Measuring collective mindfulness and exploring its nomological network. Unpublished dissertation, University of Maryland, College park, MD
Lambrecht, A., K. Seim, N. Vilcassim, A. Cheema, Y. Chen, G.S. Crawford, et al. 2012. Price discrimination in service industries. Marketing Letters 23 (2): 423–438.
Lancioni, R. 2005. Pricing issues in industrial marketing. Industrial Marketing Management 34 (2): 111–114.
Langer, E. 1989. Mindfulness. Reading, MA: Addison-Wesley.
Langer, E. 1997. The power of mindful learning. Reading, MA: Addison-Wesley.
Liozu, S.M. 2014. Where should pricing report into? Journal of Professional Pricing Q3: 16–19.
Liozu, S.M. 2015a. Pricing superheroes: How a confident sales team can influence firm performance. Industrial Marketing Management 47: 26–38.
Liozu, S.M. 2015b. The pricing journey: The organizational transformation toward pricing excellence. Stanford, CA: Stanford University Press.
Liozu, S.M. 2017. A reality check on cost-based pricing and value-based pricing. Journal of Professional Pricing Q2: 20–24.
Liozu, S., and A. Hinterhuber. 2013a. CEO championing of pricing, pricing capabilities and firm performance in industrial firms. Industrial Marketing Management 42 (4): 633–643.
Liozu, S., and A. Hinterhuber. 2013b. Pricing orientation, pricing capabilities, and firm performance. Management Decision 51 (3): 594–614.
Liozu, S., and A. Hinterhuber. 2014. Pricing capabilities: The design, development and validation of a scale. Management Decision 52 (1): 144–158.
Lowe, B., and F. Alpert. 2010. Pricing strategy and the formation and evolution of reference price perceptions in new product categories. Psychology & Marketing 27 (9): 846–873.
Miller, C.C., and R.D. Ireland. 2005. Intuition in strategic decision making: Friend or foe in the fast-paced 21st century? The Academy of Management Executive 19 (1): 19–30.
Miller, D. 1987. Strategy making and structure: Analysis and implications for performance. Academy of Management Journal 30 (1): 7–32.
Monroe, K.B., and A.J. Della Bitta. 1978. Models for pricing decisions. Journal of Marketing Research 15 (3): 413–428.
Morgan, N.A., D.W. Vorhies, and C.H. Mason. 2009. Market orientation, marketing capabilities, and firm performance. Strategic Management Journal 30 (8): 909–920.
Nagle, T., J. Hogan, and J. Zale. 2011. The strategy and tactics of pricing: A guide to growing more profitably, 5th ed. Upper Saddle River, NJ: Prentice Hall.
Ordanini, A., A. Parasuraman, and G. Rubera. 2014. When the recipe is more important than the ingredients: A qualitative comparative analysis (QCA) of service innovation configurations. Journal of Service Research 17 (2): 134–149.
Oxenfeldt, A.R. 1973. A decision-making structure for price decisions. Journal of Marketing 37 (1): 48–53.
Podsakoff, P.M., S.B. MacKenzie, J.-Y. Lee, and N.P. Podsakoff. 2003. Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology 88 (5): 879–903.
Ragin, C.C. 2000. Fuzzy-set social science. Chicago, IL: University of Chicago Press.
Ragin, C.C. 2005. From fuzzy sets to crisp truth tables. Working Paper, University of Arizona, Tucson, AZ.
Ragin, C.C. 2008, September. User’s guide to fuzzy-set/qualitative comparative analysis. Arizona: Department of Sociology, University of Arizona.
Ragin, C.C. 2009. Qualitative comparative analysis using fuzzy sets (fsQCA). In Configurational comparative methods: Qualitative comparative analysis (QCA) and related techniques, ed. B. Rihoux and C.C. Ragin, 87–121. Thousand Oaks, CA: Sage.
Sadler-Smith, E., and E. Shefy. 2004. The intuitive executive: Understanding and applying “gut feel” in decision-making. Academy of Management Executive 18 (4): 76–91.
Seeger, E.A., and T.S. Clay. 2016. Law firms in transition: An Altman Weil flash survey. Newtown Square, PA: Altman Weil.
Shapiro, C., and H.R. Varian. 1998. Versioning: The smart way to sell information. Harvard Business Review 76 (6): 106–114.
Siemsen, E., A. Roth, and P. Oliveira. 2010. Common method bias in regression models with linear, quadratic, and interaction effects. Organizational Research Methods 13 (3): 456–476.
Simsek, Z., C. Heavey, and J.J.F. Veiga. 2010. The impact of CEO core self evaluation on the firm’s entrepreneurial orientation. Strategic Management Journal 31 (1): 110–119.
Smith, G.E. 1995. Managerial pricing orientation: The process of making pricing decisions. Pricing Strategy and Practice 3 (3): 28–39.
Töytäri, P., and R. Rajala. 2015. Value-based selling: An organizational capability perspective. Industrial Marketing Management 45: 101–112.
Tushman, M.L., and D.A. Nadler. 1978. Information processing as an integrating concept in organizational design. Academy of Management Review 3 (3): 613–624.
Urban, G.L., B.D. Weinberg, and J.R. Hauser. 1996. Premarket forecasting of really-new products. Journal of Marketing 60 (1): 47–60.
Urry, J. 2005. The complexity turn. Theory, Culture & Society 22 (5): 1–14.
Venkatraman, N. 1989. The concept of fit in strategy research: Toward verbal and statistical correspondence. Academy of Management Review 14 (3): 423–444.
Verhoef, P.C., and P.S.H. Leeflang. 2009. Understanding the marketing department’s influence within the firm. Journal of Marketing 73 (2): 14–37.
Weick, K., and K. Sutcliffe. 2007. Managing the unexpected: Resilient performance in an age of uncertainty. San Francisco, CA: Jossey-Bass.
Weick, K., K. Sutcliffe, and D. Obstfeld. 1999. Organizing for high reliability: Processes of collective mindfulness. Research in Organizational Behavior 21: 81–123.
Woodside, A.G. 2014. Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities. Journal of Business Research 67 (12): 2495–2503.
Woodside, A.G. 2015. The general theory of behavioral pricing: Applying complexity theory to explicate heterogeneity and achieve high-predictive validity. Industrial Marketing Management 47: 39–52.
Woodside, A.G., A. Schpektor, and X. Xia. 2013. Triple sense-making of findings from marketing experiments using the dominant variable based-logic, case-based logic, and isomorphic modeling. International Journal of Business and Economics 12 (2): 131–153.
Wu, P.-L., S.-S. Yeh, T.-Ch. Huan, and A.G. Woodside. 2014. Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations. Journal of Business Research 67 (8): 1647–1670.
Zbaracki, M.J., and M. Bergen. 2010. When truces collapse: A longitudinal study of price-adjustment routines. Organization Science 21 (5): 955–972.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendices
Appendix 1: Constructs, definitions, coded items, and sources
Construct | Items | IR |
---|---|---|
Decision making rationality Adapted from Miller (1987) CR = 0.74 AVE = 0.49 | Indicate the extent to which your organization does the following activities to support pricing decisions. (1 = Does rarely to 7 = Does Frequently) | |
Applies pricing research techniques such as conjoint analysis and pricing/value simulations to make major product/service pricing decisions | 0.449 | |
Conducts brainstorming with senior management groups for novel solutions to pricing problems | – | |
Conducts formalized, systematic pricing review process as part of the product/service development process (like Stage Gate) | 0.586 | |
Uses staff specialists to investigate and provide recommendation on major pricing decisions | 0.425 | |
Pricing capabilities Liozu and Hinterhuber (2014) CR = 0.83 AVE = 0.57 | Rate your organization relative to your major competitors in terms of its capabilities in the following areas: (1 = Much Worse Than Competitors to 7 = Much Better Than Competitors) | |
Using pricing skills and systems to respond quickly to market changes | – | |
Knowledge of competitors’ pricing tactics | – | |
Doing an effective job of pricing products/services | – | |
Monitoring competitors’ prices and price changes | – | |
Sticking to price list and minimizing discounts | – | |
Quantifying customers’ willingness to pay | – | |
Measuring and quantifying differential economic value versus competition | – | |
Measuring and estimating price elasticity for products/services | – | |
Designing proprietary tools to support pricing decisions | 0.530 | |
Conducting value-in-use analysis or Total Cost of Ownership | 0.526 | |
Designing and conducting specific pricing training programs | 0.618 | |
Developing proprietary internal price management process | 0.593 | |
Championing behavior Adapted from Howell et al. (2005) CR = 0.84 AVE = 0.57 | To what extent do you agree or disagree with the following statements about your involvement with pricing (1 = Strongly Disagree to 7 = Strongly Agree) | |
I enthusiastically promote the pricing function | 0.685 | |
I express confidence in what pricing can do | 0.709 | |
I show tenacity in overcoming obstacles when changes in pricing are needed | 0.460 | |
I get pricing problems into the hands of those who can solve them | – | |
I get key decision makers involved in the pricing process | – | |
I act as a champion of pricing | 0.445 | |
Collective mindfulness Adapted from Knight (2004) based on the work of Weick and Sutcliffe (2007) CR = 0.87 AVE = 0.50 | To what extent do you agree or disagree with the following statements about your organization (1 = Strongly Disagree to 7 = Strongly Agree) | |
Seeks input from diverse sources to solve problems | – | |
Approaches unexpected events with novel solutions | – | |
Expects employees are familiar with tasks beyond their immediate jobs | – | |
Supports divergent viewpoints | 0.452 | |
Fosters a climate that encourages open, ongoing communication | 0.577 | |
Pays attention to real-time information | – | |
Believes that regular updating, and refreshing of our employees skills are essential | 0.415 | |
Strives to make ongoing assessments and continual updates in our operations | 0.474 | |
Does not give up on solving problems | 0.530 | |
Encourages employees to “bounce back” from mistakes | 0.533 | |
Takes steps to correct errors before they worsen | 0.520 | |
Treats failures as indicators of reliability of operations | – | |
Cost-based pricing Adapted from Ingenbleek (2007) CR = 0.76 AVE = 0.39 | To what extent does your company take into account the following factors when setting prices for its products/services? (1 = not at all taken into account – 7 = very much taken into account) | |
Variable costs of products/services | 0.312 | |
Price necessary to break-even | 0.355 | |
Investments in products/services | 0.440 | |
Target margin guidelines | 0.361 | |
Target return on sales levels | 0.499 | |
Competition-based pricing Adapted from Ingenbleek (2007) CR = 0.90 AVE = 0.59 | To what extent does your company take into account the following factors when setting prices for its products/services? (1 = not at all taken into account – 7 = very much taken into account) | |
Price of competitors’ products/services | 0.528 | |
Competitors’ current pricing strategy | 0.559 | |
Likelihood of competitors’ strength to react | 0.579 | |
Market structure (number and strength of competitors) | 0.669 | |
Degree of competition in the market | 0.648 | |
Competitive advantage of competitors in the market | 0.587 | |
Value-based pricing Adapted from Ingenbleek (2007) CR = 0.87 AVE = 0.57 | To what extent does your company take into account the following factors when setting prices for its products/services? (1 = not at all taken into account – 7 = very much taken into account) | |
Advantages of the products/services compared to competitors’ products/services | 0.509 | |
Customer perceived value of the products/services | 0.668 | |
Customer willingness to pay for the unique benefits of the product/services | 0.620 | |
Balance between advantages of products/services and price | 0.611 | |
Differentiated value drivers of our products/services compared to substitutes | 0.429 | |
Perceived relative performance Adapted from Ingenbleek (2007); Morgan et al. (2009) CR = 0.92 AVE = 0.81 | Please evaluate the performance of your major line of business over the past year relative to your major competitors (1 = Much Worse/lower Than Competitors – 7 = Much Better/higher Than Competitors) | |
Acquisition of new customers | – | |
Increase of sales to current customers | – | |
Growth in total sales revenues | – | |
Absolute price levels | – | |
Pricing power in the market | – | |
Business unit profitability | 0.747 | |
Return on sales (ROS) | 0.887 | |
Return on investment (ROI) | 0.794 |
Appendix 2: Descriptive statistics, correlations, and discriminant validity of latent constructs
M | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
---|---|---|---|---|---|---|---|---|---|---|
1. Value-based pricing | 5.51 | 1.14 | 0.76 | |||||||
2. Competition based pricing | 5.49 | 1.19 | 0.27 | 0.77 | ||||||
3. Cost-based pricing | 5.25 | 1.15 | 0.27 | 0.31 | 0.62 | |||||
4. Pricing championing behavior | 5.46 | 1.10 | 0.28 | 0.13 | 0.26 | 0.76 | ||||
5. Collective mindfulness | 5.98 | 0.74 | 0.33 | 0.18 | 0.21 | 0.33 | 0.71 | |||
6. Rationality | 3.04 | 1.61 | 0.21 | 0.12 | 0.31 | 0.26 | 0.13 | 0.70 | ||
7. Pricing capabilities | 3.98 | 1.22 | 0.25 | 0.37 | 0.21 | 0.30 | 0.18 | 0.38 | 0.76 | |
8. Firm performance | 5.18 | 1.23 | 0.24 | 0.05 | 0.12 | 0.25 | 0.24 | 0.16 | 0.27 | 0.90 |
Rights and permissions
About this article
Cite this article
Liozu, S.M., Feurer, S., Hinterhuber, A. et al. Configurational theory and practices of firms employing multiple pricing policies: assessing effective and ineffective pricing recipes in multiple firm contexts. J Revenue Pricing Manag 20, 420–435 (2021). https://doi.org/10.1057/s41272-021-00306-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1057/s41272-021-00306-1