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  1. Iranmanesh M, Zailani S, Nikbin D
    Qual Manag Health Care, 2017 4 5;26(2):116-123.
    PMID: 28375959 DOI: 10.1097/QMH.0000000000000134
    Radio-frequency identification (RFID) has been proved to be an effective tool both for improving operational efficiency and for gaining competitive advantage in the health care industry despite its relatively low-usage rate in hospitals. The sustained use of RFID by health care professionals will promote its development in the long term. This study evaluates the acceptance continuance of RFID among health care professionals through technology continuance theory (TCT). Data were collected from 178 medical professionals in Malaysia and were then analyzed using the partial least squares technique. The analysis showed that the TCT model provided not only a thorough understanding of the continuance behavior of health care professionals toward RFID but also the attitudes, satisfaction, and perceived usefulness of professionals toward it. The results of this study are expected to assist policy makers and managers in the health care industry in implementing the RFID technology in hospitals by understanding the determinants of continuance of RFID usage intention.
    Matched MeSH terms: Health Care Sector/statistics & numerical data*
  2. Komenkul K, Kiranand S
    Inquiry, 2017 01 01;54:46958017727105.
    PMID: 28853306 DOI: 10.1177/0046958017727105
    We examine the evidence from the long-run abnormal returns using data for 76 health care and biopharmaceutical initial public offerings (IPOs) listed in a 29-year period between 1986 and 2014 in the Association of Southeast Asian Nations (ASEAN) countries such as Indonesia, Malaysia, Singapore, Thailand, the Philippines, Vietnam, Myanmar, and Laos. Based on the event-time approach, the 3-year stock returns of the IPOs are investigated using cumulative abnormal return (CAR) and buy-and-hold abnormal return (BHAR). As a robustness check, the calendar-time approach, related to the market model as well as Fama-French and Carhart models, was applied for verifying long-run abnormal returns. We found evidence that the health care IPOs overperform in the long-run, irrespective of the alternative benchmarks and methods. In addition, when we divide our sample into 5 groups by listing countries, our results show that the health care stock prices of the Singaporean firms behaved differently from those of most of the other firms in ASEAN. The Singaporean IPOs are characterized by a worse post-offering performance, whereas the IPOs of Malaysian and Thai health care companies performed better in the long-run.
    Matched MeSH terms: Health Care Sector/statistics & numerical data*
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