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Exploring the Impact of Talent Management Strategies and Service Quality on Beneficiaries’ Satisfaction in Jordan Healthcare Sector: Provider Point of View

Abstract

Irtaimeh HJ, Al-Azzam JF and Khaddam AA

Talent Management is becoming one of the most contemporary terms used and most influential weapon for companies to utilize them effectively in order to gain competitive advantage and get worth worthy. Therefore, this study is aimed at exploring the effect of using Talent Management Strategies (TMS) and Service Quality (ServQual) on Beneficiaries’ (Customers’) Satisfaction (BS) at Healthcare Sector of Jordan. A questionnaire was used to obtain data from healthcare sector of Jordan purposely chosen Princess Rahma for Pediatric Hospital in Irbid with 189 respondents who were at all levels, only 156 were returned but 21 of them were excluded because they were invalid for statistical analysis, only 135 questionnaires were valid and considered with a percentage of 71%. The findings revealed that the level of importance and implementation of Talent Management Strategies’, Service Quality, and beneficiaries’ Satisfaction were high at Princess Rahma Hospital supported by the correlations between these variables which were statistically and positively strong and significant. Moreover, a significant and statistical effects at (P ≤ 0.05) of Talent Management Strategies on Service Quality from one hand, a positive and significant effects at (P ≤ 0.05) of Talent Management Strategies on Beneficiaries’ Satisfaction. Thus, in turn, Service Quality has enhanced Beneficiaries’ Satisfaction in Jordan Healthcare Sector at (P ≤ 0.05). Finally, study results revealed that a significant and positive effects of Talent Management Strategies and Service Quality as independent variables on Beneficiaries’ Satisfaction of Jordan Healthcare Sector at (P ≤ 0.05). The study recommended more studies related to Talent Management and its Strategies and tied them with other based-service companies.

Отказ от ответственности: Этот реферат был переведен с помощью инструментов искусственного интеллекта и еще не прошел проверку или верификацию

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