scholarly journals Factors Influencing of SSCM Performance of Indian Insurance Industry

2021 ◽  
Vol 10 (4) ◽  
pp. 0-0

In to-days economy, Service Supply Chain Management draws surprisingly more attention and insurance sector is one among them. Here the study is an attempt to overcome the challenges that impacts the effectiveness, efficiency and success of SSCM of Indian Insurance Industry. To show the hierarchical interrelationship among the selected significant factors of Insurance Industry an integrated comprehensive frame work has been developed, displayed and explained through an interpretive structural modeling (ISM) technique. Beneath the study various classification of influential factors have been carried out like Autonomous, linkage, Dependencies and Driving force. Finally this study developed a hierarchical structure of selected prominent factors responsible for the success of SSCM of Indian Insurance Industry by using ISM technique. The findings so drawn from the study can be used by the Indian Insurers and Foreign Insurers.

2021 ◽  
Vol 10 (4) ◽  
pp. 0-0

In to-days economy, Service Supply Chain Management draws surprisingly more attention and insurance sector is one among them. Here the study is an attempt to overcome the challenges that impacts the effectiveness, efficiency and success of SSCM of Indian Insurance Industry. To show the hierarchical interrelationship among the selected significant factors of Insurance Industry an integrated comprehensive frame work has been developed, displayed and explained through an interpretive structural modeling (ISM) technique. Beneath the study various classification of influential factors have been carried out like Autonomous, linkage, Dependencies and Driving force. Finally this study developed a hierarchical structure of selected prominent factors responsible for the success of SSCM of Indian Insurance Industry by using ISM technique. The findings so drawn from the study can be used by the Indian Insurers and Foreign Insurers.


2019 ◽  
Vol 20 (4) ◽  
pp. 1010-1025 ◽  
Author(s):  
Shyamasree Saha ◽  
Anirban Dutta

The Indian insurance industry has gone through major transformations over the past two decades and life insurance sector has been no exception to it. With the introduction of privatization and the increase in number of insurance providers, the competition has risen unprecedentedly. To survive this immense competition, the companies have come up with numerous products and solutions to lure the customers. Other factors like increased coverage of lives/property, diverse customer-friendly products and rapid growth of multiple channels, like agency, bancassurance, etc., are gradually gaining momentum to intensify the level of competitiveness in the market. But unfortunately, this has somehow compromised the quality of service that is being delivered to the customers, and no attempt has been made to measure and ensure the service quality of this industry. This research aims to identify the determinant factors that contribute a substantial role in sculpting customers’ perception of service quality in Indian life insurance sector. Six factors were identified after the whole data mining process (using factor analysis) which were considered to be as the ‘Factors Influencing of Service Quality Perception in Indian Life Insurance Sector’.


Author(s):  
C.K. Hebbar ◽  
Meenakshi Acharya

India is one among the most promising emerging insurance markets in the world. Indian insurance sector was liberalised in 2001. The insurance industry in India has undergone transformational changes over the last 15 years. In July 2014, the Cabinet Committee on Economic Affairs (CCEA) approved 49% FDI in insurance from the previous level of 26%. This paper aimed at examining the impact of FDI on the performance of selected private sector insurance companies. The study is based on secondary data and it is a descriptive study. This paper found that FDI had a significant positive as well as negative impact on areas which were studied in the paper.


2017 ◽  
Vol 16 (1) ◽  
pp. 1-20
Author(s):  
R Sivarama Prasad ◽  
R S NSharma

The Government of India nationalized insurance industry in 1956 on 19th Januaryleading to the amalgamation of154 Indian, 16 non-Indian Insurers and 75 provident societies, in total 245 Indian and foreign insurers, to form the Life Insurance Corporation of India. The Life Insurance Corporation of India, a public sector corporation, enjoyeda monopoly in the business for four decades until the entry of private life insurers with foreign joint ventures having 26% Foreign Direct Investment(FDI).As per one of the major recommendations of Sri R N Malhotra committee, on 19th April 2000, Insurance Regulatory and Development Authority was set up by the Government of India through the passing of an act of the Parliament. The IRDA aimed to promote insurance and protect the insured. Since its formation, the IRDA has been proving itself successful in promoting orderly growth and development in Indian Insurance sector. This study is an attempt to study life insurance density and penetration in Indian life Insurance industry toassess the growth in theexpansion of life insurance business in India. An analysisis made, and some conclusions are drawn with the help of growth percentages and trend calculations


The publication deals with the issue of classification of factors influencing foreign direct investments. The purpose of the study is to develop a classification of factors and to determine the main factors influencing foreign investments in the economy of Ukraine. The paper contains an overview of studies of significant factors influencing the attraction of foreign direct investments in Ukraine and considers approaches to the classification of factors influencing foreign investments. A detailed analysis of scientists’ approaches to the classification of the factors influencing foreign investments is presented. A review of studies of significant factors influencing the attraction of FDI in Ukraine has shown that the most popular approach to classification is the division of all factors influencing the level of foreign investments demand in any country, on macro- and microeconomic ones. At the same time, macroeconomic factors in turn are detailed by the state and region levels and by the spheres of the economy. It is determined that among the authors there is no unity of views on the classification of factors. Some classifications are narrowly focused. Existing classifications of the factors do not always take into account the processes that cannot be quantified and that are important for foreign investment decision-making. In particular, these include person’s subjective attitude as one of the components of the investment process. Thus, it is necessary to include psychological factors as elements of behavioral economics. Some studies include such factors in the classification, but do not indicate the way of their measuring. Generalization of approaches to the classification of the factors showed that the determining factors for foreign capital attracting to Ukraine remain resource ones and the pace of economic development (as basic economic ones), as well as political, administrative and to a lesser extent financial factors that are specific for Ukraine. The author proposes a new approach to the classification of factors, which unlike others, divides the possible factors in terms of content into three groups: economic, organizational and psychological. There is also an additional "measurement" feature, which allows to divide the factors of each group into qualitative and quantitative ones, which is important for studying their impact using modelling. Further research presupposes dividing the shown factors on the basis of measurement on quantitative and qualitative ones.


2019 ◽  
Vol 9 (2) ◽  
pp. 233 ◽  
Author(s):  
Mahmood Ahmad ◽  
Xiao-Wei Tang ◽  
Jiang-Nan Qiu ◽  
Feezan Ahmad

Seismic soil liquefaction is considered as one of the most complex geotechnical earthquake engineering problems owing to the uncertainty and complexity involved in soil parameters, seismic parameters, and site condition factors. Each one of these parameters contains a variety of factors that trigger liquefaction and have varying degrees of importance. However, estimating accurate and reliable liquefaction-induced hazards requires identification and benchmarking of the most influential factors that control soil liquefaction. Seismic soil liquefaction factors were identified by Systematic Literature Review (SLR) approach and analyzed through Interpretive Structural Modeling (ISM) and the Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) methodologies. The ISM model presented the relationships between fifteen seismic soil liquefaction factors and their benchmarking position from higher to lower-level significant factors in hierarchy. MICMAC is used to examine the strength of the relationship between seismic soil liquefaction significant factors based on their driving and dependence power. This research characterizes the identification and benchmarking of the seismic soil liquefaction factors and their relationships. The results show that the factors—duration of earthquake, peak ground acceleration, drainage condition, and standard penetration test (SPT) blow counts—influence seismic soil liquefaction directly and soil type is the governing factor that forms the base of the ISM hierarchy and consequently triggers seismic soil liquefaction. The results provide a more accurate way of selecting significant factors for establishment of seismic soil liquefaction potential and liquefaction-induced hazards risk assessment models.


2017 ◽  
Vol 24 (4) ◽  
pp. 629-651 ◽  
Author(s):  
Majid Parchami Jalal ◽  
Shahab Shoar

Purpose The purpose of this paper is to develop a model for complex interconnected structure of various factors interacting with delay in order to identify the most important factors influencing and influenced by delay based on their interrelations. Design/methodology/approach Reviewing literature and interviewing with local experts selected from the Iranian construction industry, top 58 delay factors were identified and categorized into six major groups. The interrelations among these factors were, then, modeled using the system dynamics (SD) approach. The resulting causal loop diagrams obtained from SD were used subsequently for identifying the most significant factors influencing and influenced by delay through the Decision Making Trial and Evaluation Laboratory (DEMATEL) method. The impact of factors on each other was finally determined based on the opinions of 63 experts selected from the Iranian community of consultants, contractors, and clients. Findings According to the analysis, eight out of the 58 factors were identified as the most influencing factors on delay, and nine factors were found to be the most influenced factors by delay in the field of delay analysis. The study also concluded that factors related to labors are the most important and influential factors. In addition, factors related to client were the most influencing factors and external-related factors were the least important ones. At the end, some recommendations to reduce variation of delay in the construction projects are presented as well. Originality/value Considering the interconnected structure of the factors, the paper identifies the most important factors interacting with time delay in construction projects.


2002 ◽  
Vol 6 (2) ◽  
pp. 41-52
Author(s):  
Rajat Shuvro Bakshi

The process of evolution for the Indian Insurance Industry has been rather slow due to prolonged state control. This article starts with theoretical concepts and examines them in the light of the post liberalisation scenario, with a touch of strategizing for the future. Hence the role of Insurance Regulatory and Development Authority coming into existence is so very significant. Trust of customers will remain the major driving force and to build it overnight by the private players, is not an easy proposition, especially when the state -owned very large insurers are gearing themselves up for competition.


2012 ◽  
Vol 2 (7) ◽  
pp. 253-255
Author(s):  
R. Meikanda Ganesh Kumar R. Meikanda Ganesh Kumar ◽  
◽  
Dr. P. Anbuoli Dr. P. Anbuoli

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