A Study Of The Performance On Human Resource Management Strategy In Tourism Industry With Data Envelopment Analysis

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Journal Article
Pakistan Journal of Statistics, 2012, 28 (5), pp. 735 - 741
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The emergence of the Internet has changed the previous rules in tourism industry that travel agencies are facing the change of the competitive environment and the integration world caused by Internet technology to cope with the competition in the new era. Tourism industry is a human-centered service industry that Human Resource Management Strategy performance is considered primary. Reviewing the academic discussions on tourism industry, questionnaire survey was mostly applied to studying the operation performance or product quality satisfaction; few of them would discuss Human Resource Management Strategy with the actual operating data. Based on such motives, this study applies Data Envelopment Analysis (DEA) to proceeding efficiency analyses of Human Resource Management Strategy. Ten travel agencies in Taiwan were studied within 2009-2011, in which Human resource cost, Operating cost, and Total fixed asset were regarded as the input items and Total business turnover was the output item to analyze Total efficiency (TE), pure technical efficiency (PTE), and scale efficiency (SE). According to the results and slacks-based measure, the evaluated sectors are provided suggestions. The empirical results showed that the average total efficiency in the three years was 0.84, when Lion Travel presented the best performance, while Skylark Travel the worst. Regarding the pure technical efficiency, Lion Travel appeared the best performance, while Skylark Travel the worst. In regard to scale efficiency, Lion Travel showed the best performance, while Ming Tai the worst. Apparently, Lion Travel presented the best performance, while Skylark Travel the worst. With Malmquist Productivity Analysis, both Lion Travel and Phoenix Tours were approaching the permanent optimal scale, while the rest appeared <1, showing the future operation was going far away from the permanent optimal scale.
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