Using a real case with 466 employees, we investigated the relationships among knowledge sharing (KS), service innovation, leader-member exchange (LMX) quality, team-member exchange (TMX) quality, and trust in Taiwan's international tourist hotels. The empirical results demonstrated that LMX quality and TMX quality mediated the relationship between KS and service innovation, and that trust moderated the relationship between KS and both LMX quality and TMX quality. These findings can be applied to improve communication among employees, enhance knowledge sharing, and promote service innovation.
To understand how the sustainable development goals (SDGs) are involved and cited in different fields, the current study aimed to explore the key SDGs and SDG-pairs from the viewpoints of academia and the media. The academic publications with SDG(s)-related keywords in the Scopus database and the entry videos of the “2018 SDG Lions” were collected and analyzed through content and network analysis. It was found that SDG 3 and SDG 10 shared the highest preferences in both industries, but apparent gaps happened to SDG 5. The tied frequencies of the possible SDG pairs were also examined, and SDG 3-10 was identified taking the lead in both industries. Network analysis using degree centrality as the vital parameter demonstrated that SDG 8 and SDG 5 has strong connections with several SDGs for the academia and the media, respectively. The SDG-2-6-7 combination or “water-energy-food” nexus was also found the most frequent combination of three SDGs in the academia. Overall, SDG 3 can be treated as a unifying theme when seeking to acquire evidence-based knowledge for integrated implementation of the SDGs. Important implications for policy-making of the SDGs were also discussed.
The government is facing the country’s aging population and low birth rate have led to a severe shortage of its healthcare workforce in Taiwan after 2003. In order to explore the status of the country’s degree of long-term care shortage and uncovered ratio, this research uses the Push-Pull-Mooring (PPM) theory to explain long-term care efficiency during 2010–2019 in each city and county. We collect longitudinal-sectional data for 2010–2019 from the Ministry of Health and Welfare’s Department of Statistics for 22 administrative regions in Taiwan in each year and employ dynamic data envelopment analysis (DEA) to evaluate the overall technical efficiency and the disaggregate output insufficiency to explain the research results. The main findings are as follows: (1) Cities near the capital Taipei have the highest degree of shortages in long-term caregivers and high uncovered ratios of people who need long-term care. (2) Presently, there is no demand to increase the number of long-term care institutions in Taiwan. (3) The government should introduce new long-term care certificates through national examinations in order to develop a stronger professional workforce in this field.
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