management framework
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2022 ◽  
Vol 133 ◽  
pp. 126443
Author(s):  
Marleen Riemens ◽  
Mette Sønderskov ◽  
Anna-Camilla Moonen ◽  
Jonathan Storkey ◽  
Per Kudsk

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Tanatorn Tanantong ◽  
Warut Pannakkong ◽  
Nittaya Chemkomnerd

Abstract Background The overcrowded patients, which cause the long waiting time in public hospitals, become significant problems that affect patient satisfaction toward the hospital. Particularly, the bottleneck usually happens at front-end departments (e.g., the triage and medical record department) as every patient is firstly required to visit these departments. The problem is mainly caused by ineffective resource management. In order to support decision making in the resource management at front-end departments, this paper proposes a framework using simulation and multi-objective optimization techniques considering both operating cost and patient satisfaction. Methods To develop the framework, first, the timestamp of patient arrival time at each station was collected at the triage and medical record department of Thammasat University Hospital in Thailand. A patient satisfaction assessment method was used to convert the time spend into a satisfaction score. Then, the simulation model was built from the current situation of the hospital and was applied scenario analyses for the model improvement. The models were verified and validated. The weighted max–min for fuzzy multi-objective optimization was done by minimizing the operating cost and maximizing the patient satisfaction score. The operating costs and patient satisfaction scores from various scenarios were statistically compared. Finally, a decision-making guideline was proposed to support suitable resource management at the front-end departments of the hospital. Result The three scenarios of the simulation model were built (i.e., a real situation, a one-stop service, and partially shared resources) and ensured to be verified and valid. The optimized results were compared and grouped into three situations which are (1) remain the same satisfaction score but decrease the cost (cost decreased by 2.8%) (2) remain the same satisfaction score but increase the cost (cost increased up to 80%) and (3) decrease the satisfaction score and decrease the cost (satisfaction decreased up to 82% and cost decreased up to 59%). According to the guideline, the situations 1 and 3 were recommended to use in the improvement and the situation 2 was rejected. Conclusion This research demonstrates the resource management framework for the front-end department of the hospital. The experimental results imply that the framework can be used to support the decision making in resource management and used to reduce the risk of applying a non-improvement model in a real situation.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Salwa Zolkaflil ◽  
Sharifah Nazatul Faiza Syed Mustapha Nazri ◽  
Normah Omar

Purpose This study aims to understand the member countries’ current asset recovery mechanism based on two elements, namely, confiscation policy and asset recovery management framework. Design/methodology/approach Content analysis was performed on the Financial Action Task Force (FATF) Mutual Evaluation Report (MER) of eight countries. Findings The result showed that only a few countries established a centralised asset recovery centre or special task force to manage recovered assets. Research limitations/implications This study is limited to information mentioned in the FATF MER. Practical implications This study highlights the need to have a centralised asset recovery management centre as an initiative to improve the outcome of money laundering investigations. The study findings will benefit regulators to understand further the practical challenges of the asset recovery mechanism for future improvement. Originality/value FATF recommends that each country establish a centralised asset recovery centre and work closely with the investigating officers and prosecutors in deciding on assets confiscation. However, the implementation is contingent on their local environment and resources at the member countries’ discretion. Therefore, this study aimed to understand the member countries’ current asset recovery mechanism based on two elements, namely confiscation policy and asset recovery management framework.


2022 ◽  
Vol 14 (1) ◽  
pp. 482
Author(s):  
Erlin Trisyulianti ◽  
Budhi Prihartono ◽  
Made Andriani ◽  
Kadarsah Suryadi

The circular economy concept needs to be part of the performance management system so that it is in line with a company’s vision and mission. Thus, the circular economy will play an important role at the operational level of companies. The circular economy needs to be internalized, starting by formulating the company’s vision and mission, establishing strategic objectives and performance indicators, and creating resource allocation policies. This research aims to design a sustainable performance management system in the context of a circular economy for state-owned plantation enterprises (SOPEs). This study used a qualitative research coding method that was validated in three SOPEs in Indonesia. Validation was performed by comparing the framework based on the conceptual formulation with the data and information obtained during field assessment. Primary data came from interviews with 15 managers, while secondary data came from official company documents. The research results show that the initial framework that was built is in accordance with the results of the exploration of the circular economy strategic objectives in the three SOPEs. The results of the 100 percent validation and perception test of managers on the range of values are important. Therefore, the proposed framework can be used in SOPE.


2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Giulio Luca Rosboch ◽  
Federica Giunta ◽  
Edoardo Ceraolo ◽  
Federico Piccioni ◽  
Francesco Guerrera ◽  
...  

Abstract Background Non-Intubated Thoracic Surgery (NITS) is becoming increasingly adopted all over the world. Although it is mainly used for pleural operations,, non-intubated parenchymal lung surgery has been less frequently reported. Recently, NITS utilization seems to be increased also in Italy, albeit there are no multi-center studies confirming this finding. The objective of this survey is to assess quantitatively and qualitatively the performance of NITS in Italy. Methods In 2018 a web-based national survey on Non-Intubated management including both thoracic surgeons and anesthesiologists was carried out. Reference centers have been asked to answer 32 questions. Replies were collected from June 26 to November 31, 2019. Results We raised feedbacks from 95% (55/58) of Italian centers. Seventy-eight percent of the respondents perform NITS but only 38% of them used this strategy for parenchymal surgery. These procedures are more frequently carried out in patients with severe comorbidities and/or with poor lung function. Several issues as obesity, previous non-invasive ventilation and/or oxygen therapy are considered contraindications to NITS. The regional anesthesia technique most used to provide intra- and postoperative analgesia was the paravertebral block (37%). Conversion to general anesthesia is not anecdotal (31% of answerers). More than half of the centers believed that NITS may reduce postoperative intensive care unit admissions. Approximately a quarter of the centers are conducting trials on NITS and, three quarters of the respondent suppose that the number of these procedures will increase in the future. Conclusions There is a growing interest in Italy for NITS and this survey provides a clear view of the national management framework of these procedures.


2022 ◽  
Author(s):  
Chaochen Hu ◽  
Chao Li ◽  
Guigang Zhang ◽  
Zhiwei Lei ◽  
Mira Shah ◽  
...  

AbstractThe healthcare industry faces serious problems with health data. Firstly, health data is fragmented and its quality needs to be improved. Data fragmentation means that it is difficult to integrate the patient data stored by multiple health service providers. The quality of these heterogeneous data also needs to be improved for better utilization. Secondly, data sharing among patients, healthcare service providers and medical researchers is inadequate. Thirdly, while sharing health data, patients’ right to privacy must be protected, and patients should have authority over who can access their data. In traditional health data sharing system, because of centralized management, data can easily be stolen, manipulated. These systems also ignore patient’s authority and privacy. Researchers have proposed some blockchain-based health data sharing solutions where blockchain is used for consensus management. Blockchain enables multiple parties who do not fully trust each other to exchange their data. However, the practice of smart contracts supporting these solutions has not been studied in detail. We propose CrowdMed-II, a health data management framework based on blockchain, which could address the above-mentioned problems of health data. We study the design of major smart contracts in our framework and propose two smart contract structures. We also introduce a novel search contract for searching patients in the framework. We evaluate their efficiency based on the execution costs on Ethereum. Our design improves on those previously proposed, lowering the computational costs of the framework. This allows the framework to operate at scale and is more feasible for widespread adoption.


2022 ◽  
pp. 1-21
Author(s):  
Charles A. Oham ◽  
Okeoma John-Paul Okeke

This chapter explores the theory and practice of strategy that social entrepreneurs deploy to run their ventures in a sustainable way. A critical link between strategy and practice of social enterprise is discussed in detail in this chapter. The chapter focuses only on the strategic management framework and adapts it to include business analytical tools that social entrepreneurs use such as TOC, ABCD, Forms of Capital, SROI, etc. Social entrepreneurs run businesses to generate earned income and reinvest profits back into the business for a social purpose rather than for personal gain like an entrepreneur. Social enterprises include and mean different things to different people, they include a spectrum of trading organisations, such as cooperative societies; charities involved in a trading activity like charity shops; civic enterprises set up by local governments; credit unions and microcredit organisation run by social entrepreneurs. SE missions and characteristics enable them to be very attractive to the public and stakeholders.


2022 ◽  
pp. 124-152

This chapter explores a management framework created primarily by Gary P. Latham's Work Motivation: History, Theory, Research, and Practice (2012). Several other important works are examined to enhance the value of the analysis. One benefit of teleworking consistently expressed by teleworkers is increased employee happiness, so the authors explore the reasonable connection to motivation. The chapter examines the history and background in the field to trace the development of workplace motivation theories and offers a framework that provides insights for the analyses in this book. They study motivation before they move on to issues of productivity in the next chapter. The framework presented sheds light on the human elements of motivation and leads to reference points necessary to develop effective trustworthiness and improved performance studied throughout the book. Through a detailed examination of the role of motivation in the management framework presented, leaders will understand that many theorists argue that current theories of motivation focus on different aspects of the process.


2022 ◽  
pp. 1786-1800
Author(s):  
A. Aylin Tokuç ◽  
Zeynep Eda Uran ◽  
Ahmet Tezcan Tekin

Big data is an emerging area of research that is of interest to various fields; however, studies in the literature and various sources claim that failure rates for big data projects are considerably high. There are different reasons for failure; varying from management processes to the use of wrong technologies. This study investigates how the project management framework proposed by Project Management Institute (PMI) can be effectively adapted to big data projects to reduce failure rates. The application of processes as mentioned in this study can help to eliminate the causes of failure in the early stages of the project; thus, increasing the successful completion rate of such projects.


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