Modeling and analysis of barriers in controlling TB: developing countries' perspective

Modelling the factors affecting Quality of Life among Indian police officers: a novel ISM and DEMATEL approach

Background

This study examines quality of life (QOL) of a sample of police officers in India. The concept of QOL includes well-being, social obligations, relationships of a person, and his association with environment. The study examines the factors on which QOL of police officers depend and their relationships with each other. The issues linked with QOL are important because they directly affect the individual's ability to maintain a healthy lifestyle and affect organizational performance in the long run. This study explores relevant factors that have an impact on the QOL of the employees of police department in India.

Method

In this paper, literatures review, ISM, MICMAC, and DEMATEL methodology have established eleven factors that impact the QOL of police officers in India. Mutual relations between factors have been established using the ISM approach to develop a model to represent these relationships. DEMATEL methodologies were used to analyze these factors.

Results

Results indicate that "fair compensation, work overload, workplace safety, and job stress" are the top-level factors that affect QOL of police officers.

Conclusion

The identification of factors and their mutual relationships that affect QOL are important for police officers and have to be dealt with according to their order of importance. The research model developed in this study shows how the factors of police officers' QOL are interrelated and presents the interrelationships among these factors. A comprehensive model depicting the relationships among these factors has been established, so that the QOL of police officers can be improved.

Modeling and analysing the barriers to the acceptance of energy-efficient appliances using an ISM-DEMATEL approach

Purpose

Electricity savings from energy-efficient appliances (EEAs) may have a significant impact on reducing global warming. There are several barriers confronted by EEAs, which have lowered their acceptance rate. The current study aims to identify and highlight key barriers to strengthening domestic sector adoption of EEAs in developing countries.

Design/methodology/approach

In the current study, 13 barriers were discovered by an in-depth literature review and the judgement of experts as well. Further, integrated “interpretive structural modeling” (ISM) and “decision-making trial and evaluation laboratory” (DEMATEL) approaches are used to evaluate barriers. The ISM technique is implemented to categorize barriers into distinct hierarchy levels and “cross-impact matrix multiplication applied to classification” (MICMAC) analysis to divide barriers among four clusters “independent, linkage, dependent and autonomous.” Moreover, the DEMATEL methodology is applied to classify the barriers among cause and effect clusters.

Findings

The integrated ISM and DEMATEL approach suggests that the topmost influencing barriers to the acceptance of EEAs are the lack of Government policies and initiatives, lack of attractive loan financing and subsidized energy prices.

Practical implications

This study would help researchers, regulators, producers, policymakers and consumers to comprehend the need for additional developments and understand that the adoption of EEAs is a current need. Overall, the results of this study expedite stakeholders with the key barriers that may assist to enhance the acceptance of EEAs within the domestic sector.

Originality/value

An extensive literature survey showed a dearth of studies for the identification, modeling and analysis of barriers collectively. Therefore, the current work used the ISM and DEMATEL approaches to fill the gap and to provide more comprehensive knowledge on barriers related to the acceptance of EEA.