Impact of human resource management practices on TQM: an ISM-DEMATEL approach

Analysis of factors inhibiting the customer engagement of eHealth in India: Modeling the barriers using ISM-Fuzzy MICMAC analysis

INTRODUCTION

The current study aims to evaluate and measure the relationship between the customer engagement barriers influencing the adoption of eHealth in India. Previous studies have shown that low levels of engagement can lead to worse health outcomes, so this study is an expanded version of those findings to highlight those challenges.

METHODOLOGY

For this, the study followed three phases of research: factor identification through a review of the literature; expert opinion for selecting key and pertinent factors for the study; and application of interpretive structural modelling approach to capture the proper association between various factors. Using fuzzy-MICMAC analysis, the factors were divided into independent, dependent, autonomous and linkage categories.

RESULTS

A model is created in this study that shows the relationship between different barriers that aid the Indian healthcare industry in better implementation and also Indian citizens in better adoption of eHealth services. According to the research and derived model, some of the biggest obstacles in the eHealth are need of product portfolio, Lack of Customer support and Low first call resolution rate.

CONCLUSION

This study contributes to the body of knowledge by offering novel perspective into the types of hierarchical relationships that exist among barriers. These insights will be valuable to academicians and practitioners interested in India's healthcare market and its strategic expansion.

Analysis of Warehouse Value-Added Services Using Pareto as a Quality Tool: A Case Study of Third-Party Logistics Service Provider

The study aims to analyse warehouse value-added services (VAS) data for a third-party logistics (3PL) service provider, which leads to identifying service improvements and cost-cutting opportunities in performing VAS for clients using Pareto analysis as a quality tool. Using a case study approach, qualitative and quantitative data were collected from a leading 3PL firm in Belgium. The approach is conducted by applying major steps of Pareto analysis. Two pharmaceutical products were analysed according to medical general classification, namely narcotic analgesics (NA) and ophthalmic antihistamines and decongestants (OAD). The results showed that the Pareto principle is proven in the NA—ticketing case, and five activities consumed 83.3 percent of the total time of VAS operations. Furthermore, in the OAD—display case, the Pareto principle is proven and six activities were validated as they accounted for 81.26 percent of the total time of primary VAS operations. The study recommended a solution to each of the four causes of delay, including lack of training/best practices, inefficient space utilization, lack of automation, and lack of cohesiveness and planning. Despite the recognized importance of avoiding warehouse operation inefficiencies, the literature lacks studies applied to practice, and few contributions exist regarding analysing 3PL service providers’ warehousing VAS operations data. This study identified all VAS activities for temperature-controlled pharmaceutical products. Moreover, the study proposes a warehouse operations improvement framework for non-automated 3PL warehouses and guides managers through Pareto analysis to cut costs and improve service level.

Hierarchical Structure Model of Safety Risk Factors in New Coastal Towns: A Systematic Analysis Using the DEMATEL-ISM-SNA Method

When a coastal town transforms from a rural area to an emerging city, it faces many safety risks. Some are new risks from urban construction, while some are traditional risks that belong to this coastal area. The joint efforts of these risks may lead to new hazards, harming public health, but this problem has not been noticed in previous studies. Therefore, this study constructs the Triangular Framework for Safety Risk in New Towns to identify the risks and proposes strategies to reduce the risks. In this study, multiple methods are integrated, including Decision-Making Trial and Evaluation Laboratory (DEMATEL), Interpretive Structural Modeling (ISM), and Social Network Analysis (SNA). This study takes the Lin-gang Special Area in China as a case study to verify the framework's effectiveness. Sixteen disaster-causing factors are identified, and the internal linkages among these factors are clarified. Results show that the hybrid method performs well in quantitatively analyzing the risk factors of new coastal towns. A typhoon, public risk perception, and population migration are essential influencing factors. Disaster prevention capability of high-rise buildings, disaster prevention capacity of port facilities, and transportation are the most direct influencing factors. Environmental degradation is the most conductive among all elements. This study contributes to the theoretical theory by proposing an effective framework to analyze the safety risks in new coastal towns. In addition, it provides practical references for governments to make emergency plans in the city.