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Bottom-up learning in marketing frontlines: conceptualization, processes, and consequences

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Abstract

This study proposes a frontline learning process by which organizations capture new knowledge generated by frontline employees in addressing productivity-quality tradeoffs during customer interactions and transform it into updated knowledge for frontline use. Updated knowledge, in turn, is posited to influence customer satisfaction and financial outcomes (i.e., revenue, efficiency). Empirical testing with multi-source data reveals that: (1) knowledge articulation mediates the transformation of knowledge generated in the frontlines into updated knowledge, (2) updated frontline knowledge positively impacts customer and financial outcomes, and (3) frontline employee workload inhibits the transformational process unless it is at an intermediate level (inverted U-effect), while employee goal convergence bolsters it linearly.

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Notes

  1. Bottom-up learning is often distinguished from top-down learning by considering the processes that link explicit (codified/structured) knowledge and implicit (tacit/unstructured) knowledge (Nonaka 1994). Bottom-up learning generally involves processes that go from implicit to explicit knowledge, while top-down learning is associated with processes that go from explicit to implicit knowledge. Both processes are critical in market-oriented organizations (Day 1994). In this study, we focus on bottom-up learning processes.

  2. To keep the review focused, we included articles that: (1) used keywords of “organizational + learning” or “knowledge + management,” (2) were published between 1990 and 2010, and (3) appeared in five marketing journals including Journal of Marketing, Journal of Marketing Research, Marketing Science, Journal of the Academy of Marketing Science, and Journal of Retailing. The articles are listed in chronological order.

  3. This measure is widely used in the health care industry for measuring patients’ overall satisfaction and computing patient satisfaction scores. To be consistent with industry practice, we labeled this measure as customer satisfaction. An alternative label of “service quality” is reasonable given the academic literature.

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Correspondence to Jun Ye.

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This paper is based on data collected as part of NSF grant #SES-0080567 awarded to Professors Jagdip Singh and Gil Preuss, with Sister Nancy Linenkugel. The authors express their appreciation to the three anonymous reviewers for their constructive comments.

Appendix A

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Table 6 Measures and operationalization of studied constructs

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Ye, J., Marinova, D. & Singh, J. Bottom-up learning in marketing frontlines: conceptualization, processes, and consequences. J. of the Acad. Mark. Sci. 40, 821–844 (2012). https://doi.org/10.1007/s11747-011-0289-7

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