Sanjay Tolani, Ananth Rao, Genanew B. Worku and Mohamed Osman
The purpose of this paper is to analyze significant determinants to assess the probability of insureds’ intent to buy (ITB) insurance and willingness to pay (WTP) quantum of…
Abstract
Purpose
The purpose of this paper is to analyze significant determinants to assess the probability of insureds’ intent to buy (ITB) insurance and willingness to pay (WTP) quantum of dollars for security benefits.
Design/methodology/approach
The authors use the Double Hurdle Model (DHM) and Neural Network (NN) architecture to analyze the insureds’ behavior for ITB and WTP. The authors apply these frameworks to all the 503 insureds of a branch of a leading insurer in the United Arab Emirates.
Findings
The DHM identified age, loans & liabilities, body mass index, travel outside the UAE, salary and country of origin (Middle Eastern and African) as significant determinants to predict WTP for social security benefits. In addition to these determinants, NN architecture identified insurance replacement, holding multiple citizenship, age of parents, mortgages, country of origin: Americas, length of travel, income of previous year and medical conditions of insured as additional important determinants to predict WTP for social security benefits; thus, NN is found to be superior to DHM due to its lowest RMSE and AIC in the holdout sample and also its flexibility and no assumptions unlike econometric models.
Research limitations/implications
Insureds’ data used from one UAE Branch limit the generalizability of empirical findings.
Practical implications
The study findings will enable the insurers to appropriately design the insurance products that match the insurers’ behavior of ITB and WTP for social security benefits.
Social implications
The study findings have the potential for insurance institutions to be more flexible in their insurance practices through public–private partnerships.
Originality/value
This is the authors’ original research work.
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Ravi S. Reosekar and Sanjay D. Pohekar
The main aim of the present study is to explore field of Six Sigma and discover the limitation of the present research work. The study also tries to find emerging aspects, trends…
Abstract
Purpose
The main aim of the present study is to explore field of Six Sigma and discover the limitation of the present research work. The study also tries to find emerging aspects, trends and future directions and explore unfocused areas of Six Sigma. The present study involves an analysis of 179 research articles published from 1995 to 2011 in 52 selected reputable journals.
Design/methodology/approach
The methodology of critical assessment involves selection and classification of 179 research articles on Six Sigma. The selected articles are classified by: time distribution of articles, research methodology, research stream, authorship patterns, sector-wise focus of articles, integration with other manufacturing philosophies, implementation status and performance measurement of the models or framework. Then, the suggestions for the future scope of research possibilities and development are identified.
Findings
The study provides a taxonomical and integrated review of articles. Further, this study provides perspectives on conceptualization and various critical parameters for research. Through this literature review, many issues are addressed which have not previously been adequately covered. The findings include: increase in empirical nature of research articles, need for spreading research in the field of Six Sigma implementation, need for more interregional research collaborations, need for integration of Six Sigma philosophy with other philosophies and lack of implementation, i.e. testing and validation of the proposed models or frameworks by researchers.
Practical implications
The present study has explored an unfocused area of Six Sigma which will help future researchers to concentrate on the grey areas of Six Sigma. The study will help professionals to get a comprehensive database of Six Sigma articles and their use in practical situation. The results obtained from the study are expected to help researchers, academics and professionals to focus on the growth, pertinence and research developments to implement Six Sigma principles.
Originality/value
This paper will be of great help for those carrying out research in Six Sigma field including academics and practitioners in terms of Six Sigma growth describing the trends, sources and findings. The unique feature of this research is the large sample size and a time span of 16 years (1995-2011). The unique feature of this research is the large sample size and a time span of 16 years (1995-2011).
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Abhishek Kashyap and Om Ji Shukla
Sustainability is a very important factor to be considered in the supply chain (SC) of any industry. Agricultural industry needs to be addressed even more importantly with the…
Abstract
Purpose
Sustainability is a very important factor to be considered in the supply chain (SC) of any industry. Agricultural industry needs to be addressed even more importantly with the tools of sustainability as it concerns the life of millions. This paper explores the critical barriers (CBs) in the sustainable supply chains (SSCs) of makhana industry located in the northern part of India and seeks to design a model for the researchers and the managers who want to work in this industry.
Design/methodology/approach
Initially, the CBs were identified with the help of an extensive literature review of sustainability in SCs for agri-industry and discussion with makhana industry experts (consisting of managers and senior managers) and academicians (consisting of professors and research scholars). The study uses the multi-criteria decision-making (MCDM) technique, namely interpretive structural modeling (ISM) and fuzzy ISM to develop the model. The study finally validates the model using Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) analysis.
Findings
The obtained results indicate that, in the SSC of makhana industry, the role of “Lack of adoption of organic agricultural management techniques” (CB2), “Lack of modern techniques (CB4)”, “Multiple intermediaries” (CB5), “Weak socio-economic conditions” (CB7) and “Lack of proper knowledge” (CB1) are very significant. These barriers are needed to be addressed first as they have the highest driving power and other barriers are directly driven by these CBs.
Research limitations/implications
The paper has included seven experts, and the interrelationship between CBs has been developed on the basis of their knowledge and discussion, so the results may be a little bias. Moreover, the paper has obtained the results using the ISM and fuzzy ISM by considering ten CBs; the researchers can explore this research by including more CBs and validate the results using other MCDM techniques like fuzzy-decision making trial and evaluation laboratory (DEMATEL), fuzzy-Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Best Worst Method (BWM).
Originality/value
This study is unique as per industry point of view and may help the researchers and managers to explore the field of makhana.