Organizational Learning Curves for Customer Dissatisfaction: Heterogeneity Across Airlines

Michael A. Lapré, Nikos Tsikriktsis
<span title="">2006</span> <i title="Institute for Operations Research and the Management Sciences (INFORMS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zncv5noo7jgodckylffhkp26cq" style="color: black;">Management science</a> </i> &nbsp;
I n the extensive literature on learning curves, scholars have ignored outcome measures of organizational performance evaluated by customers. We explore whether customer dissatisfaction follows a learning-curve pattern. Do organizations learn to reduce customer dissatisfaction? Customer dissatisfaction occurs when customers' ex ante expectations about a product or service exceed ex post perceptions about the product or service. Because customers can increase expectations over time, customer
more &raquo; ... atisfaction may not decline even when the product or service improves. Consequently, it is an open question whether customer dissatisfaction follows a learning-curve pattern. Drawing from the literatures on learning curves and organizational learning, we hypothesize that customer dissatisfaction follows a U-shaped function of operating experience (Hypothesis 1), that focused airlines learn faster to reduce customer dissatisfaction than full-service airlines (Hypothesis 2), and that organizational learning curves for customer dissatisfaction are heterogeneous across airlines (Hypothesis 3). We test these hypotheses with quarterly data covering 1987 to 1998 on consumer complaints against the ID largest U.S. airlines. We find strong support for Hypothesis 1 and Hypothesis 3. Hypothesis 2 is not supported in the sense that the average focused airline did not learn faster than the average full-service airline. However, we do find that the best focused airline learns faster than the best full-service airline. We explore this result by extending a knowledge-based view of managing productivity learning curves in factories to complaint learning curves in airlines.
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