Perspectives of Contractors and Insurance Companies on Construction Safety Practices: Case of a Middle Eastern Developing Country

Hatoum, Makram Bou; Hamzeh, Farook; Khoury, Hiam

doi:10.1061/9780784482872.040

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…CNN contains the activation function, which maps the nonlinear relationship between input and output. e (6) shows the computational criteria for the activation function.…”

Section: Neural Network Methods Used In Insurance Marketingmentioning

confidence: 99%

“…For an insurance company, the insurance clerk not only needs to master the coverage and amount of each type of insurance but also requires the insurance clerk to master each customer's purchase of insurance. rough these professional knowledge and situations, insurance salesmen need to do their best to sell insurance [5][6][7]. It can be seen from the above description that the data of insurance business is numerous, multisource, and complex, which is a di cult task for insurance business, that consumes a lot of human and material resources [8].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation and Selection of Insurance Marketing Schemes Driven by Multisource Big Data

Xian

Liu

2022

Mathematical Problems in Engineering

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Insurance marketing is a discipline that maximizes the benefits between policyholders and insurance companies. A big data-driven approach combined with insurance promotions can leverage a wealth of empirical data to develop new customers, motivate existing customers to engage in more activities, and retain existing customers. Insurance business involves a wide variety of scopes and types, and it is labor-intensive and resource-intensive to rely solely on insurance business personnel to process these tedious data. The data-driven approach can find correlations and perform automatic prediction matching according to the characteristics of insurance business data, which saves a lot of time and labor costs. This research uses data mining method and neural network method to mine insurance business data and predict insurance business. This method can accurately capture factors such as the type of insurance business and the amount of the policyholder. The research results show that data mining technology and neural network method have high accuracy and feasibility in predicting insurance business, the prediction error is within 2.38%, and the linear correlation exceeds 0.96. The method used in this study has high accuracy both in terms of new customers and retention of old customers.

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“…CNN contains the activation function, which maps the nonlinear relationship between input and output. e (6) shows the computational criteria for the activation function.…”

Section: Neural Network Methods Used In Insurance Marketingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation and Selection of Insurance Marketing Schemes Driven by Multisource Big Data

Xian

Liu

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

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“…Moreover, the difference in safety perspectives between contractors and insurance companies causes major challenges. A survey conducted of both parties showed significant differences between the safety practices that contractors prioritize on site and the safety practices that insurance companies consider for controlling premiums [11]. Additionally, insurance companies do not investigate the previous history of any new contractor that they sign in because of inadequate record-keeping, the lack of a database that documents and tracks injuries, and the absence of a national experience multiplier to assess the safety performance of contractors such as the Experience Modification Rate (EMR) in USA [12].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Events and Exposures Leading to Construction Injuries in Developing Countries: The Case of Lebanon

Hatoum

Nassereddine

Hamzeh

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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There is unanimous agreement that the complex and dynamic nature of construction jobsites is coupled with inherent risks. Global occupational and health agencies revealed that the construction industry leads with the number of fatal injuries incurred every year. Lebanon, a developing country in the Middle East, is no exception. Studies on construction safety in the country showed that the industry has failed to implement safety regulations, while also witnessing a lack of safety incentives, training, and education. The situation worsens with the absence of a national experience multiplier that could reflect on contractors’ safety statuses and hold them accountable for their safety performance. This study addresses the problem by proposing a cost model that evaluates construction injuries. An analysis was performed on more than 3,000 accident claims collected from insurance companies to understand the events and exposures that construction labour face. Results showed that there are 17 different types of events and exposures which can be grouped into three clusters depending on their frequency and average cost. This paper presents and expands on the three clusters and identifies the events that fall under each of them. The findings will serve as the base of the cost model in a future study.

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Perspectives of Contractors and Insurance Companies on Construction Safety Practices: Case of a Middle Eastern Developing Country

Cited by 2 publications

References 5 publications

Evaluation and Selection of Insurance Marketing Schemes Driven by Multisource Big Data

Evaluation and Selection of Insurance Marketing Schemes Driven by Multisource Big Data

Analysis of Events and Exposures Leading to Construction Injuries in Developing Countries: The Case of Lebanon

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