Search results

This study intends to assess the research trends on natural disasters and their contribution to the various fields of policy decisions in India by conducting a bibliometric analysis between 2008 and 2022. The Scopus database was used to extract pertinent literature. The key relevant terms were used to seek relevant papers based on the query of two searches, ‘Natural disaster and India’ scenarios combined by the Boolean operator ‘AND’. Microsoft Excel and VOSviewer-Var1.6.16 were used to assess bibliometric indicators. The database yielded 1,293 papers in all, with 14,584 citations. There were 262 single authors and 1,031 multi-author documents among the publications that were retrieved, with an average of 11.28 citations per document. After 2016, there was a dramatic growth in the total number of publications. The journal articles were the leading source of the particular literature, and this study extracted approximately 858 journal articles from the Scopus database. About 713 and 580 articles were open and closed access, respectively. Earth and planetary sciences (28.07%), social science (31.01%), and environmental science (30.39%) had a higher proportion of papers than other topics. The most impactful authors were Rajib Shaw and Filip K. Arnberg from Keio University, Japan, and Uppsala University, Uppsala, Sweden. Besides, the most funding institutions were from India (39.33%), China (13.11%), and the United States (11.9%) for natural disaster research, in the case of India. The current baseline information on natural disaster-related literature in the context of India showed that this field is growing rapidly but with inadequate research collaboration and low productivity as needed. Research collaboration in this field needs to be strengthened to improve the solid response to natural disasters in any place in India. In addition, there is a need to expand the research focus in this field to include associated indicators.

Aim – This empirical study explores the association between competition, business strategy, and the uses of a multiple performance measurement system in Bangladesh manufacturing firms.

Design/methodology – The study uses a questionnaire survey of 50 manufacturing companies. Data were analyzed using multiple regression analysis and other descriptive statistics.

Findings – The results suggest that greater emphasis on multiple measures for performance evaluation is associated with businesses that are facing high competition. The practices of multiple performance measures are also significantly related to the types of business strategy being followed. Specifically, firms pursuing a prospector strategy have relied more on multiple performance measures to rate business performance than the firms pursuing a defender strategy.

Practical implications – The article notes that the designers of performance measurement systems need to consider contingent factors that affect an organizations’ control system.

Originality/value – Substantiating the connection between contingent variables and the use of multiple performance measures in manufacturing firms facilitate a better acceptance of firms’ tendency toward new measurement tools. The study contributes to the performance measurement and contingency literature since it presents empirical evidence of the state of multiple performance measures with organizational contingent variables using a developing country's manufacturing sector data.