Journal rankings and directions for future research in health care management: A global perspective

2017 ◽  
Vol 30 (2) ◽  
pp. 129-137 ◽  
Author(s):  
Katherine A Meese ◽  
Stephen J O’Connor ◽  
Nancy Borkowski ◽  
S Robert Hernandez
Keyword(s):  
Health Care ◽  
Care Management ◽  
Online Survey ◽  
Health Care Management ◽  
Global Perspective ◽  
Future Research ◽  
Editorial Boards ◽  
Journal Rankings ◽  
Lack Of Information ◽  
International Ranking

Despite the increasingly global nature of health care, much of the research about journal rankings and directions for future research in health care management is from a United States based viewpoint. There is a lack of information about influential journals and trends for health care management research from a global perspective. This exploratory study gathered the opinions of health care management researchers from 17 countries regarding which journals are considered most influential, popular research topics and areas needing more attention from the research community. An online survey was sent to individuals in high-income Organisation for Economic Co-operation and Development countries who were identified through author relationships, academic institution websites, editorial boards of international journals, and academic and practitioner associations in the countries of interest. Results indicate that journal rankings vary substantially from prior published studies evaluating health care management journals and international ranking lists, and the list of influential journals includes a much more diverse array of publications. Respondents also indicated a diverse number of topics for current and future research, highlighting the global complexity of the field. The implications of this study are valuable to scholars evaluating outlets for disseminating research, and highlighting areas for collaborative research in health care management globally.

scholarly journals An evaluation of factors affecting the management of COVID-19 in Bangladesh

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed S.M Sadrul Huda ◽  
Afsana Akhtar ◽  
Segufta Dilshad ◽  
Syeeda Raisa Maliha
Keyword(s):  
Health Care ◽  
Care Management ◽  
Service Providers ◽  
Care Service ◽  
Health Care Service ◽  
Health Care Management ◽  
Lessons Learned ◽  
Future Research ◽  
Content Type ◽  
The Social

PurposeThe study aims to gain insights into the management of COVID-19 in Bangladesh to identify the factors that are relevant to managing the pandemic in a developing country.Design/methodology/approachThe study was carried out by pursuing the archival method. The information was collected from credible newspaper reports over the previous months, as well as articles published on the subject of COVID-19.FindingsThe research revealed important and relevant dimensions of the health sector in managing the COVID-19 pandemic. The major factors were doctors, nurses (health service providers), patients, (customers) and society. This is a pioneering paper, which documents the major lessons learned from the management of COVID-19 in Bangladesh concerning three stakeholders of the health-care system, i.e. providers, patients and society. This paper covers the situation regarding the ongoing pandemic from three perspectives – provider, customers and society, and thus, may help to develop future research regarding the development of health-care management models for addressing the pandemic.Research limitations/implicationsThe major limitations of this paper is its over dependence on secondary sources for collecting the information.Practical implicationsThis paper presents the learnings from the pandemic in health-care management in different categories (e.g. social, doctor/nurse, patients), which can help the managers in understanding different dimensions of the health-care sector from different perspectives. The problems as well as the learnings stated in the paper can help the policy makers implement such strategies to ensure better delivery of the medical health-care service during a pandemic.Social implicationsThis paper clearly reveals the social dimensions of the COVID-19 by assessing the social aspects of COVID-19 management. Both social stigma and support are traced out during evaluating the situation. Thus, the social forces will be able to rethink about their role in addressing the social costs of pandemic.Originality/valueThis is a commentary piece.

Decision Tree Applications for Data Modelling

2011 ◽  
pp. 437-442
Author(s):  
Man Wai Lee ◽  
Kyriacos Chrysostomou ◽  
Sherry Y. Chen ◽  
Xiaohui Liu
Keyword(s):  
Data Mining ◽  
Health Care ◽  
Decision Tree ◽  
Decision Trees ◽  
Care Management ◽  
Health Care Management ◽  
Business Management ◽  
Theoretical Background ◽  
Critical Discussion ◽  
Future Research

Many organisations, nowadays, have developed their own databases, in which a large amount of valuable information, e.g., customers’ personal profiles, is stored. Such information plays an important role in organisations’ development processes as it can help them gain a better understanding of customers’ needs. To effectively extract such information and identify hidden relationships, there is a need to employ intelligent techniques, for example, data mining. Data mining is a process of knowledge discovery (Roiger & Geatz, 2003). There are a wide range of data mining techniques, one of which is decision trees. Decision trees, which can be used for the purposes of classifications and predictions, are a tool to support decision making (Lee et al., 2007). As a decision tree can accurately classify data and make effective predictions, it has already been employed for data analyses in many application domains. In this paper, we attempt to provide an overview of the applications that decision trees can support. In particular, we focus on business management, engineering, and health-care management. The structure of the paper is as follows. Firstly, Section 2 provides the theoretical background of decision trees. Section 3 then moves to discuss the applications that decision trees can support, with an emphasis on business management, engineering, and health-care management. For each application, how decision trees can help identify hidden relationships is described. Subsequently, Section 4 provides a critical discussion of limitations and identifies potential directions for future research. Finally, Section 5 presents the conclusions of the paper.

Issues of modernization of health care management in the regions

2017 ◽  
Vol 19 (4) ◽  
pp. 18-24
Author(s):  
M.A. Laktaeva ◽  
◽  
E.A. Laktaeva ◽  
V.G. Ivanov ◽  
◽  
...  
Keyword(s):  
Health Care ◽  
Care Management ◽  
Health Care Management

An Empirical Study on Post-Adoption Behavior of Information Technologies for Health Care Management: A View of Big Five Personality

2014 ◽  
Vol 631-632 ◽  
pp. 1106-1114
Author(s):  
Wen Xing Lu ◽  
Yu Yong Wu ◽  
Chang Yong Liang ◽  
Zuo Zuo Gu ◽  
Yu Zhao ◽  
...  
Keyword(s):  
Health Care ◽  
Empirical Study ◽  
Big Five ◽  
Information Technologies ◽  
Care Management ◽  
Health Care Management ◽  
Hospital Performance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Big Five Personality

Nowadays, health care management is driven by informationization and information technologies are widely used in various types of hospitals. Doctors and nurses are the direct users of information technologies for health care management (ITHCM), as well as the most critical prerequisites in ITHCM implementation. Their acceptance and use of ITHCM can significantly promote hospital performance and enhance core competitiveness. However, different people have different attitude, values and motivation on ITHCM. These factors not only affect employee’s behavior in ITHCM adoption, but also their continued use behavior of ITHCM. Based on the Big Five personality as well as real-world healthcare situation in China, we investigated the impacting factors of ITHCM continuing use, and built ITHCM Continuing Use Model based on personality. We conducted an empirical study to verify the related hypothesis. The results show that Big Five personality affect the willingness of ITHCM continuing use through perceived ease of use and perceived usefulness.

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