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Research on the Construction of Performance Indicators for the Marketing Alliance of Catering Industry and Credit Card Issuing Banks by Using the Balanced Scorecard and Fuzzy AHP
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Research on the Construction of Performance Indicators for the Marketing Alliance of Catering Industry and Credit Card Issuing Banks by Using the Balanced Scorecard and Fuzzy AHP
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Journal Article
Research on the Construction of Performance Indicators for the Marketing Alliance of Catering Industry and Credit Card Issuing Banks by Using the Balanced Scorecard and Fuzzy AHP
2020
Overview
In recent years, strategic alliances have seen explosive growth in various practical fields. Various forms of strategic alliances and cooperation models have been widely used among various organizations and have received considerable attention from academic and practical circles. However, there are many factors that affect the success of marketing alliances, and the academic community has not reached a conclusion and consensus. Among them, the establishment and monitoring of a performance evaluation mechanism is one of the key points. In the past, many academic studies have devoted themselves to the establishment of performance evaluation mechanisms for many different industries, but few of them have focused on the establishment of performance evaluation mechanisms for marketing alliances between the service industry and the banking industry. The purpose of this study is to assist in the establishment of performance evaluation indicators for marketing alliance between the catering industry and credit card issuing banks by using expert Delphi, fuzzy analytic hierarchy process and balanced scorecard methods. The main result of this study is to establish five key performance evaluation indicators including customer factors, cooperative alliance factors, financial factors, learning and growth factors, and internal process factors. In terms of secondary indicators, there are seven customer sub-factors, six cooperative alliance sub-factors, five financial sub-factors, seven internal processes sub-factors, and five learning and growth sub-factors, totaling 30 sub-factors. The research results can be used as a reference for academic and practical areas.
Publisher
MDPI AG
Subject
