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The effects of customer acquisition and retention orientations on a firm’s radical and incremental innovation performance

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Abstract

The effect of a firm’s strategic focus on acquiring new customers and/or retaining existing customers (customer acquisition and retention orientations) on innovation performance is evaluated. With dyadic primary data collected from 225 strategic business units, the authors demonstrate that a firm’s focus on customer acquisition enhances its radical innovation performance but hinders its incremental innovation; a firm’s strategic orientation toward customer retention has the opposite effects. These effects are mediated by both customer knowledge development and the firm’s resource configuration decisions. In addition, the authors provide insight into the impact of managerial decision trade-offs when implementing customer engagement strategies. The results suggest that the effect of customer acquisition and retention orientations on customer knowledge and investment decisions, and ultimately on innovation performance, is amplified when a firm consistently implements a specific engagement strategy. Implementing a dual strategy by attempting to focus on both acquiring and retaining customers undermines resource configuration decisions, with diverse effects on both radical and incremental innovation.

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Notes

  1. We also conducted separate analyses in the financial service and retailing industries and found no significant difference for any of the significant coefficients. For clarity, we present only the results from the pooled sample.

References

  • Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park: Sage.

    Google Scholar 

  • Ailawadi, K., & Harlam, B. (2004). An empirical analysis of the determinants of retail margins: the role of store-brand share. Journal of Marketing, 68(1), 147–165.

    Article  Google Scholar 

  • Amason, A. (1996). Distinguishing the effects of functional and dysfunctional conflict on strategic design making: resolving a paradox for top management teams. Academy of Management Journal, 39(1), 123–148.

    Article  Google Scholar 

  • Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423.

    Article  Google Scholar 

  • Armstrong, S. J., & Overton, T. S. (1977). Estimating non-response bias in mail surveys. Journal of Marketing Research, 14, 396–402.

    Article  Google Scholar 

  • Arnould, E. J., & Wallendorf, M. (1994). Market-oriented ethnography: interpretation building and marketing strategy formulation. Journal of Marketing Research, 31, 484–504.

    Article  Google Scholar 

  • Atuahene-Gima, K. (2005). Resolving the capability-rigidity paradox in new product innovation. Journal of Marketing, 69, 61–83.

    Article  Google Scholar 

  • Bharadwaj, S., Varadarajan, P. R., & Fahy, J. (1993). Sustainable competitive advantage in service industries: a conceptual model and research propositions. Journal of Marketing, 57, 83–99.

    Article  Google Scholar 

  • Bolton, R. N. (1989). The relationship between marketing characteristics and promotional price elasticities. Marketing Science, 8(3), 153–169.

    Article  Google Scholar 

  • Burt, R. S. (1997). The contingent value of social capital. Administrative Science Quarterly, 42, 339–364.

    Article  Google Scholar 

  • Chandy, R. K., & Tellis, G. J. (1998). Organizing for radical product innovation: the overlooked role of willingness to cannibalize. Journal of Marketing Research, 35, 474–487.

    Article  Google Scholar 

  • Christensen, C. M. (1997). The innovator’s dilemma. New York: Harper-Collins.

    Google Scholar 

  • Churchill, G. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16, 64–73.

    Article  Google Scholar 

  • Crossan, M., Lane, H. W., & White, R. E. (1999). An organizational learning framework: from intuition to institution. Academy of Management Review, 24(3), 522–537.

    Article  Google Scholar 

  • Day, G. S. (1994). The capabilities of market-driven organizations. Journal of Marketing, 58, 37–52.

    Article  Google Scholar 

  • Demsetz, H. (1988). The theory of the firm revisited. Journal of Law, Economics, and Organization, 4(1), 141–161.

    Google Scholar 

  • Eisenhardt, K., & Martin, J. A. (2000). Dynamic capabilities: what are they? Strategic Management Journal, 21(10–11), 1105–1121.

    Article  Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 28, 39–50.

    Article  Google Scholar 

  • Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J., & Bryant, B. E. (1996). The American customer satisfaction index: nature, purpose, and findings. Journal of Marketing, 60, 7–18.

    Article  Google Scholar 

  • Gargiulo, M., & Benassi, M. (2000). Trapped in your own net? Network cohesion, structural holes, and the adaptation of social capital. Organization Science, 11(2), 183–196.

    Article  Google Scholar 

  • Gomez, M. I., McLaughlin, E. W., & Wittink, D. R. (2004). Customer satisfaction and retail sales performance: an empirical investigation. Journal of Retailing, 80, 265–278.

    Article  Google Scholar 

  • Han, J. K., Kim, N., & Srivastava, R. K. (1998). Market orientation and organizational performance: is innovation a missing link? Journal of Marketing, 62, 30–45.

    Article  Google Scholar 

  • He, Z.-L., & Wong, P.-K. (2004). Exploration vs. exploitation: an empirical test of the ambidexterity hypotheses. Organization Science, 15(4), 481–494.

    Article  Google Scholar 

  • Henley, A. B., Shook, C. L., & Peterson, M. (2006). The presence of equivalent models in strategic management research using structural equation modeling. Organizational Research Methods, 9(4), 516–535.

    Article  Google Scholar 

  • Hurley, R. F., & Hult, G. T. M. (1998). Innovation, market orientation, and organizational learning: an integration and empirical examination. Journal of Marketing, 62, 42–54.

    Article  Google Scholar 

  • Im, S., & Workman, J. P., Jr. (2004). Market orientation, creativity, and new product performance in high-technology firms. Journal of Marketing, 68, 114–132.

    Article  Google Scholar 

  • Jana, R. (2007). Putting the “i” Into HiP. Business Week, November 26, Issue 4060, 11–17.

  • Jaworski, B. J., & Kohli, A. K. (1993). Market orientation: antecedents and consequences. Journal of Marketing, 57, 53–70.

    Article  Google Scholar 

  • Jayachandran, S., Sharma, S., Kaufman, P., & Raman, P. (2005). The role of relational information processes and technology use in customer relationship management. Journal of Marketing, 69, 177–192.

    Article  Google Scholar 

  • Kumar, V., Shah, D., & Venkatesan, R. (2006). Managing retailer profitability-one customer at a time. Journal of Retailing, 82(4), 227–304.

    Article  Google Scholar 

  • Landry, T. D., Arnold, T. J., & Arndt, A. (2005). A compendium of sales-related literature in customer relationship management: processes and technologies with managerial implications. Journal of Personal Selling and Sales Management, 25(3), 231–251.

    Google Scholar 

  • Lastovicka, J. L., & Thamodaran, K. (1991). Common factor score estimates in multiple regression problems. Journal of Marketing Research, 28, 105–112.

    Article  Google Scholar 

  • Leonard-Barton, D. (1992). Core capabilities and core rigidities: a paradox in managing new product development. Strategic Management Journal, 13, 111–126.

    Article  Google Scholar 

  • Lewis, M. (2006). The effects of shipping fees on customer acquisition, customer retention, and purchase quantities. Journal of Retailing, 82(1), 13–23.

    Article  Google Scholar 

  • Lusch, R. F., Vargo, S. L., & O’Brien, M. (2007). Competing through service: insights from service-dominant logic. Journal of Retailing, 83(1), 5–18.

    Article  Google Scholar 

  • March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2, 71–87.

    Article  Google Scholar 

  • McCracken, G. (1990). Culture and consumer behavior: an anthropological perspective. Journal of Market Research Society, 32(1), 3–12.

    Google Scholar 

  • McKee, D. O., Rajan Varadarajan, P., & Pride, W. M. (1989). Strategic adaptability and firm performance: a market-contingent perspective. Journal of Marketing, 53, 21–35.

    Article  Google Scholar 

  • Menon, A., Bharadwaj, S. G., Adidam, P. T., & Edison, S. W. (1999). Antecedents and consequences of marketing strategy making: a model and a test. Journal of Marketing, 63, 18–40.

    Article  Google Scholar 

  • Miller, D., & Friesen, P. H. (1984). Organizations: A quantum view. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  • Mithas, S., Krishnan, M. S., & Fornell, C. (2005). Why do customer relationship management applications affect customer satisfaction? Journal of Marketing, 69, 201–209.

    Article  Google Scholar 

  • Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58, 20–38.

    Article  Google Scholar 

  • Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Academy of Management Review, 23(2), 242–266.

    Google Scholar 

  • Oliver, R. L., & Anderson, E. (1994). An empirical test of the consequences of behavior- and outcome-based sales control systems. Journal of Marketing, 58, 53–67.

    Article  Google Scholar 

  • O’Reilly, C., & Chatman, J. (1996). Culture as social control: corporations, cults, and commitment. In B. M. Staw (Ed.), Research in organizational behavior, vol. 18 (pp. 157–200). Kidlington, Oxford: JAI Press.

  • O’Reilly, C., & Tushman, M. L. (2004). The ambidextrous organization. Harvard Business Review, 82, 74–81.

    Google Scholar 

  • Palmatier, R. W. (2008). Interfirm relational drivers of customer value. Journal of Marketing, 72, 76–89.

    Article  Google Scholar 

  • Palmatier, R. W., Dant, R. P., Grewal, D., & Evans, K. R. (2006). Factors influencing the effectiveness of relationship marketing: a meta-analysis. Journal of Marketing, 70, 136–153.

    Article  Google Scholar 

  • Pan, Y., & Zinkhan, G. M. (2006). Determinants of retail patronage: a meta-analytical perspective. Journal of Retailing, 82(3), 229–243.

    Article  Google Scholar 

  • Prabhu, J., Chandy, R. K., & Ellis, M. E. (2005). The impact of acquisitions on innovation: poison pill, placebo, or tonic? Journal of Marketing, 69, 114–130.

    Article  Google Scholar 

  • Prahalad, C. K., & Ramaswamy, V. (2000). Co-opting customer competence. Harvard Business Review, 78, 78–87.

    Google Scholar 

  • Reinartz, W., Krafft, M., & Hoyer, W. D. (2004). The customer relationship management processes: its measurement and impact on performance. Journal of Marketing Research, 41, 293–305.

    Article  Google Scholar 

  • Ruekert, R. W., Walker, O. C., Jr., & Roering, K. J. (1985). The organization of marketing activities: a contingency theory of structure and performance. Journal of Marketing, 49(1), 13–25.

    Article  Google Scholar 

  • Sethi, R., Smith, D. C., & Park, C. W. (2001). Cross-functional product development teams, creativity, and the innovativeness of new consumer products. Journal of Marketing Research, 38, 73–85.

    Article  Google Scholar 

  • Slater, S. F., & Narver, J. C. (1995). Market orientation and the learning organization. Journal of Marketing, 59, 63–74.

    Article  Google Scholar 

  • Slater, S. F., & Narver, J. C. (1998). Customer led and market oriented: let’s not confuse the two. Strategic Management Journal, 19(10), 1001–1006.

    Article  Google Scholar 

  • Smith, J. E., Carson, K. P., & Alexander, R. A. (1984). Leadership: it can make a difference. Academy of Management Journal, 27(4), 765–776.

    Article  Google Scholar 

  • Steenkamp, J.-B. E. M., & Baumgartner, H. (1998). Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research, 25(1), 78–91.

    Article  Google Scholar 

  • Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.

    Article  Google Scholar 

  • Torrance, P. (1988). The nature of creativity as manifest in its testing. In R. J. Sternberg (Ed.), The nature of creativity (pp. 76–98). Cambridge: Cambridge University Press.

    Google Scholar 

  • Tushman, M. L., & Nadler, D. A. (1978). Information processing as an integrating concept in organizational design. Academy of Management Review, 3, 613–624.

    Article  Google Scholar 

  • Tushman, M. L., & O’Reilly, C. (2002). Winning through innovation. Cambridge, MA: Harvard Business School Press.

  • Uzzi, B., & Lancaster, R. (2003). Relational embeddedness and learning: the case of bank loan managers and their clients. Management Science, 49, 383–399.

    Article  Google Scholar 

  • Verhoef, P. C. (2003). Understanding the effect of customer relationship management efforts on customer retention and customer share development. Journal of Marketing, 67, 30–45.

    Article  Google Scholar 

  • Voss, G. B., & Voss, Z. G. (2000). Strategic orientation and firm performance in an artistic environment. Journal of Marketing, 64(January), 67–83.

    Google Scholar 

  • Wu, Y., Balasubramanian, S., & Mahajan, V. (2004). When is a preannounced new product likely to be delayed? Journal of Marketing, 68(2), 101–114.

    Article  Google Scholar 

  • Zahra, S. A., & George, G. (2002). Absorptive capacity: a review, reconceptualization, and extension. Academy of Management Review, 27(2), 185–203.

    Article  Google Scholar 

  • Zahra, S. A. R., Ireland, D., & Hitt, M. A. (2000). International expansion by new venture firms: internal diversity, mode of entry, technology learning, and performance. Academy of Management Journal, 43(5), 925–950.

    Article  Google Scholar 

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Correspondence to Todd J. Arnold.

Additional information

Authorship is alphabetical, with an equal contribution among authors. The authors thank Abbie Griffin for her input into this project.

Appendices

Appendix A

Constructs and Items

Loadings

Customer acquisition orientation (Reported by first informant)

 Structure (coefficient alpha: .71, composite reliability: .75)

  We have a formal system in place that differentiates engagement processes with new customers based on their potential value.

.88

  Our organization is structured in a way to better acquire valuable potential customers.

.85

  New customer segments are clearly defined in our unit’s customer relationship management efforts.

.87

 Leadership (coefficient alpha: .70, composite reliability: .66)

  Our senior management emphasizes very often the significance of acquiring valuable new customers.

.84

  The leaders in our organization have a clearly defined mission driven by customer acquisition.

.80

  Senior management communicates the importance to our unit of acquiring valuable new customers.

.79

 Culture (coefficient alpha: .74, composite reliability: .66)

 

  Employees across the unit agree that being able to acquire valuable customers is the key to our competitive advantage.

.83

  In our unit, differentiating and targeting valuable new customers is viewed more like an investment, instead of an expense.

.79

  Acquiring valuable new customers is seen by employees as essential for the unit’s success.

.82

 Strategy (coefficient alpha: .73, composite reliability: .65)

  Our unit’s strategy for competitive advantage is based on acquiring high-value customers from competitors.

.82

  Our competitive advantage depends largely on differentiating and targeting valuable new customers.

.79

  Our unit has a clear strategic planning process to identify and target new customer opportunities.

.81

 Control (coefficient alpha: .78, composite reliability: .63)

 

  Employees’ reward and promotion opportunities depend largely on how they successfully target and acquire valuable new customers for the unit.

.82

  Employees are given specific guidance for acquiring new valuable customers.

.78

  Our unit regularly measures how successfully employees acquire valuable new customers.

.74

  Front-line employees’ performance evaluations depend largely on how well they acquire new valuable customers.

.82

Customer retention orientation (Reported by first informant)

 Structure (coefficient alpha: .70, composite reliability: .62)

  We have a formal system for determining which of our current customers are of the highest value.

.78

  Our organization is structured to optimally respond to existing customers with different values.

.77

  We have a formal system to segment existing customers based on their economic value.

.82

 Leadership (coefficient alpha: .72, composite reliability: .63)

  Our senior management emphasizes the significance of managing relationships with valuable existing customers.

.79

  The leaders in our unit have a clearly defined mission driven by customer retention.

.74

  Senior management communicates the importance to our unit of retaining valuable existing customers to the competitive advantage of the unit.

.85

 Culture (coefficient alpha: .73, composite reliability: .65)

 

  Employees across the unit agree that being able to retain valuable existing customers is the key to our competitive advantage.

.79

  In our unit, maintaining relationships with valuable existing customers is viewed more like an investment, instead of an expense.

.81

  Being able to retain valuable existing customers is seen by employees as essential for the unit’s success.

.81

 Strategy (coefficient alpha: .80, composite reliability: .62)

 

  Our unit’s strategy for competitive advantage is based on retaining valuable existing customers.

.81

  Our competitive advantage depends largely on cross-selling and up-selling to our existing customers.

.80

  Our unit has a clear strategic planning process to manage relationships with valuable existing customers.

.75

 Control (coefficient alpha: .85, composite reliability: .62)

 

  Employees’ reward and promotion opportunities depend largely on how they successfully maintain relationships with high value existing customers for the unit.

.81

  Employees are given specific guidance for retaining high value existing customers.

.74

  Our organization regularly measures how successfully employees retain valuable existing customers.

.82

  Customer satisfaction is an important component of front-line employees’ performance evaluations.

.77

Constructs reported by first informant

 Radical innovation performance (coefficient alpha: .71, composite reliability: .57)

 

  Significant innovations in our customer service technologies have contributed significantly to our financial performance.

.74

  The incorporation of substantially different technologies has helped to achieved significant profits.

.80

  The introduction of radical innovations has helped our unit to achieve significant revenue growth.

.73

 Incremental innovation performance (coefficient alpha: .73, composite reliability: .61)

 

  The incremental improvement in our existing customer service technologies has significantly helped our financial performance.

.81

  The improvement of our existing customer service technologies has contributed significantly to our profits.

.80

  We have gained significant revenue growth from improvements of our service offerings and service extensions.

.74

 Market dynamism (coefficient alpha: .71, composite reliability: .73)

 

  In the market, customers’ preferences change quickly over time.

.84

  Market demand and consumer tastes have been upredictable.

.90

  In the market, customers tend to look for new products and services all the time.

.83

 Competitive intensity (coefficient alpha: .75, composite reliability: .62)

 

  Competition in our market is cutthroat.

.80

  There are many “promotion wars” in our market.

.76

  Anything that one competitor can offer, others can match readily.

.81

 Technology turbulence (coefficient alpha: .73, composite reliability: .62)

 

  The technology in our market is changing rapidly.

.79

  Technological changes provide big opportunities in our industry.

.76

  It is very difficult to forecast where the technology in our industry will be in the next 2 to 3 years.

.81

Constructs reported by second informant

 Depth of customer knowledge (coefficient alpha: .79, composite reliability: .64)

 

  Our unit has gathered a large amount of customer information to help identify our high-value customers.

.83

  Our unit has established a thorough understanding of customers lifetime values.

.77

  Our unit has detailed knowledge about the appropriate channels to reach customers.

.80

 Diversity of customer knowledge (coefficient alpha: .74, composite reliability: .61)

 

  Customer knowledge our unit has developed is very diverse.

.81

  Our unit has developed customer knowledge which consists of distinctive customer characteristics.

.82

  The customer knowledge our unit has developed is very homogeneous (reversed).

.77

  Our unit has acquired customer knowledge with different profiles and behavior patterns.

.73

 Resource exploitation (coefficient alpha: .73, composite reliability: .62) To what extent has your unit (very low

 

  Invested in enhancing skills in exploiting mature technologies that improve productivities of current innovation operations.

.75

  Enhanced resource investments in searching for solutions to customer problems that are near to existing solutions rather than completely new solutions.

.80

  Strengthened the resources for projects that improve efficiency of existing innovation activities.

.81

 Resource exploration (coefficient alpha: .71, composite reliability: .59) To what extent has your unit (very low to

 

  Invested resources to acquire new service technological infrastructure entirely new to the organization.

.77

  Strengthened resources for projects in areas where you had no prior experience.

.74

  Acquired new service development processes entirely new to the industry.

.80

Appendix B: Significant Interaction Effects

figure a

A. Diversity of Customer Knowledge DV: Level of Acquisition Orientation by Level of Retention Orientation

figure b

B. Resource Exploration DV: Level of Acquisition Orientation by Level of Retention Orientation

figure c

C. Resource Exploitation DV: Level of Acquisition Orientation by Level of Retention Orientation

figure d

D. Resource Exploration DV: Level of Acquisition Orientation by Consistency of Acquisition Orientation

figure e

E. Depth of Customer Knowledge DV: Level of Retention Orientation by Consistency of Retention Orientation

figure f

F. Diversity of Customer Knowledge DV: Level of Retention Orientation by Consistency of Retention Orientation

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Arnold, T.J., (Er) Fang, E. & Palmatier, R.W. The effects of customer acquisition and retention orientations on a firm’s radical and incremental innovation performance. J. of the Acad. Mark. Sci. 39, 234–251 (2011). https://doi.org/10.1007/s11747-010-0203-8

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