Highlights Quarantine decisions during a pandemic directly affect the hospitality industry. A DEMATEL method is proposed for quarantine decision due to COVID-19 Pandemic. A real life case study in Turkey is conducted in this paper. Istanbul has an essential impact on the rest of all regions in Turkey.

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This paper analyzes the effects of the pay for performance (PFP) system on the efficiencies of public and private hospitals in Turkey. In order to evaluate these effects, we examine the relationship between hospital efficiency and health care costs in Turkey, and address the impact of the PFP system on the efficiencies of public and private hospitals. In an effort to analyze the efficiencies of public and private hospitals, this study uses data envelopment analysis. The Malmquist Productivity Index is also used to analyze the patterns of efficiency change for the study years from 2001 to 2008. This study shows that health care costs and hospital efficiency are negatively correlated for private hospitals, while they are positively correlated for public hospitals. In other words, increased health care costs might reduce efficiency in private hospitals in contrast to public hospitals. Our findings also indicate that average efficiencies of public hospitals tend to increase, particularly during the implementation period of PFP system. The efficiency trend of private hospitals, conversely, decreased in the latter periods of the PFP system. Suggestions for improvement are provided to the health care policy makers regarding the impact of health care reforms on public and private hospitals.

PurposeThe importance of innovation has drastically increased across diverse academic and industrial fields. Innovation has been considered an outcome of intellectual capital management. The role of innovative literacy in intellectual capital management needs to be understood. Employees at all levels of the organisation carry out managerial and/or technical innovation activities by integrating their knowledge (with other members, including researchers and developers) and innovative attitude in line with the organisational goals. This study focuses on the methodological approaches to intellectual capital components at a conceptual level, based on the framework of innovative literacy, which is not prominent in the literature.Design/methodology/approachA meta-synthesis analysis was conducted, examining published articles from 1990 to 2016 based on selected keywords. The meta-synthesis analysis explored the concept of innovation literacy by revealing some of the relationships involved in intellectual capital performance.FindingsThe findings point to gaps and methodological weaknesses in innovative literacy research and provide insights for future research.Research limitations/implicationsWhile the findings of this study are useful, there are some limitations and recommendations for future research: One limitation of this study arises from the selection of the articles used in meta-synthesis analyses; these were published during the period 1990–2016. An expansion of the article selection to include articles published before 1990 can be useful to better understand the vision on innovation and intellectual capital. This research fills a conceptual gap in the literature. However, since this concept is evaluated using the human, customer and structural components of intellectual capital, researchers in the future can evaluate this concept with other components of intellectual capital. Finally, this research does not present a hypothesis on the relationship between innovative literacy and intellectual capital.Originality/valueThis study provides a novel conceptual view of integrating theories for ensuring sustainability of intellectual management and innovative literacy by synthesising findings from academic studies.

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The aim of this study is to investigate the efficiencies of hospitals in Turkey with respect to their ownerships (i.e. state, education & research, university and private) for the years 2001 to 2006. The impact of health care reforms on the efficiencies is also examined in order to highlight possible policy implications for policy makers. Comparative performance evaluation of hospitals has been achieved by using Data Envelopment Analysis (DEA) as well as Malmquist Index calculations (i.e. to determine the direction and degree of yearly changes in performance), super efficiency analysis and slack evaluations. According to the findings, hospital ownership significantly influences hospital efficiencies. The influence of health care reforms on hospital efficiency has been observed especially for the state and private hospitals. The average efficiencies of state hospitals remarkably increase while the average efficiencies of private hospitals decrease especially after the starting of reforms in the stateowned hospitals. This paper adds value to the current body of research by addressing the impact of hospital ownerships and health care reforms to the efficiencies of Turkish hospitals. There are similar studies of Data Envelopment Analysis applied for hospitals in several other countries. Researchers may compare the results of this study with the findings of other studies.

This study examines the impacts of brand experience (BE) and service quality (SQ) on behavioural intentions (BI) via brand trust (BT) by developing an empirical model, building on recent advances in service quality and assessing relationships between brand experience, service quality and brand trust. Building consumers' BI is an important strategic objective for all product managers. This study proposes multiple mediation models to analyse the relationships between the constructs, and analyses survey data using partial least squares structural equations to explore how these elements can be modelled. Results show, in line with previous literature, that BE and SQ indirectly affect BI through BT. Further, BT is effective in building BI, and has a mediating effect on the relationships among BE, SQ and BI. The study found new theoretical insights that highlight the importance of the focusing on high SQ levels.

Purpose The purpose of this paper is to analyze the wind energy technologies using the social network analysis based on patent information. Analysis of patent documents with social network analysis is used to identify the most influential and connected technologies in the field of wind energy. Design/methodology/approach In the literature, patent data are often used to evaluate technologies. Patents related to wind energy technologies are obtained from the United States Patent and Trademark Office database and the relationships among sub-technologies based on Corporate Patent Classification (CPC) codes are analyzed in this study. The results of two-phase algorithm for mining high average-utility itemsets algorithm, which is one of the utility mining algorithm in data mining, is used to find associations among wind energy technologies for social network analysis. Findings The results of this study show that it is very important to focus on wind motors and technologies related to energy conversion or management systems reducing greenhouse gas emissions. The results of this study imply that Y02E, F03D and F05B CPC codes are the most influential CPC codes based on social network analysis. Originality/value Analysis of patent documents with social network analysis for technology evaluation is extremely limited in the literature. There is no research related to the analysis of patent documents with social network analysis, in particular CPC codes, for wind energy technology. This paper fills this gap in the literature. This study explores technologies related to wind energy technologies and identifies the most influential wind energy technologies in practice. This study also extracts useful information and knowledge to identify core corporate patent class (es) in the field of wind energy technology.