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Article
Publication date: 1 December 2004

Piyoosh Rautela and Ravish Sharma

Analysis of data on road accidents collected from different sources brings forth important characteristics related to the nature of accidents. Based on this, the fatality…

Abstract

Analysis of data on road accidents collected from different sources brings forth important characteristics related to the nature of accidents. Based on this, the fatality index (FI) is defined as the ratio of fatalities to injuries in accidents. An increase in FI is indicative of fatalities in accidents. High FI is observed to correlate positively with difficult terrain, slow response and poor medical facilities. FI therefore represents an important indicator for planning initiatives to reduce fatalities related to road accidents.

Details

Disaster Prevention and Management: An International Journal, vol. 13 no. 5
Type: Research Article
ISSN: 0965-3562

Keywords

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Article
Publication date: 1 May 2001

Vinod K. Sharma and Tanu Priya

While natural disasters cannot be prevented, measures need to be taken to reduce the extent of damage, especially in a vast country like India with a huge population base…

Abstract

While natural disasters cannot be prevented, measures need to be taken to reduce the extent of damage, especially in a vast country like India with a huge population base and scarce facilities. Proper physical planning is an important tool, which one should utilize to regulate urban development as per the extent of damage anticipated. The article is a brief account of a study done on the city of Patna, in Bihar, a flood‐affected city of India, where strategies were developed to link the process of urban planning to the risk and damage of flooding in the area.

Details

Disaster Prevention and Management: An International Journal, vol. 10 no. 2
Type: Research Article
ISSN: 0965-3562

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Article
Publication date: 21 October 2020

Sydney Chikalipah

This study investigates the possible effect of mobile money services, which forms part of FinTech, in achieving the Sustainable Development Goals (SDGs).

Abstract

Purpose

This study investigates the possible effect of mobile money services, which forms part of FinTech, in achieving the Sustainable Development Goals (SDGs).

Design/methodology/approach

This study uses field data from the Chongwe district of Zambia. The data were collected in 2019.

Findings

The findings strongly suggest that (1) the factors that hinder access to credit and savings by the poor do not simply recede following the adoption of mobile money services and (2) that mobile money is not a silver bullet of ending financial exclusion but merely a tool which contributes to other financial inclusion strategies.

Practical implications

This study argues that mobile money is winning the battle but losing the war – implying that the service is mainly used to transfer funds (OTC transactions) among users.

Originality/value

This is the first study to have been conducted in Zambia to assess the possible contributing effect of FinTech (mobile money) on SDGs.

Details

World Journal of Science, Technology and Sustainable Development, vol. 17 no. 4
Type: Research Article
ISSN: 2042-5945

Keywords

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Article
Publication date: 22 May 2020

Preeti Dwivedi, Vijit Chaturvedi and Jugal Kishore Vashist

This research focuses on suggesting an optimized model for selecting best employees using advanced multi-criteria decision making method to a supply chain firm, who is…

Abstract

Purpose

This research focuses on suggesting an optimized model for selecting best employees using advanced multi-criteria decision making method to a supply chain firm, who is planning to start a new cold chain business vertical.

Design/methodology/approach

Study has been conducted in a supply chain firm in North India, who wants to expand its business with the help of efficient team members. In total 38 applicants were considered for the study, as selected by the firm after initial screening from pool of talent. AHP-LP and TOPSIS-LP integrated approach were applied separately for evaluation and implementation of personnel selection model. Further, both the approaches were compared to find the best fit and optimized model.

Findings

As per the findings, both AHP and TOPSIS can be used to select the best candidate among the alternatives available. TOPSIS was found easier to implement as it involves ranking of applicants with respect to each skills required for respective job profile only once, whereas AHP involves pair-wise comparison among candidates with respect to each skills required for respective job profile and normalization of each comparison, resulting in the formation of number of comparison matrices. However, AHP is more reliable as it considers consistency check for each level of pair-wise comparison. Hence, there is a chance to avoid or revise the human judgment error. Integrated ranking and optimization approach minimizes the cost by suggesting the relevant positions to be filed to make an efficient team.

Research limitations/implications

Group of interviewers are involved in the decision-making process, hence there are chances of biasness in ranking method which can influence the group decision. Research is limited to a particular geography of North India therefore needs to be tested for other regions also in order to generalize. The research will help the third party logistics (3PL) and other related firms in efficient team selection.

Originality/value

The researcher focuses on formalizing a method for potential candidate selection by considering the constraints of the organization. It has been observed that limited researches have been done on the application of AHP-LP or TOPSIS-LP integrated approach for selection process. Hence, this research proposes two integrated ranking-optimization method and suggests the best fit by comparing both the approaches.

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