Recurrent sick leave after COVID-19: investigating the first wave of the pandemic in a comprehensive Swedish registry-based study

Background Sick-leave due to COVID-19 vary in length and might lead to re-current episodes. The aim was to investigate recurrent sick leave due to COVID-19 during the first wave. Methods This is a registry-based cohort study. The study comprises all people with sickness benefit due to COVID-19 in Sweden in March 1–August 31, 2020. Data from the Swedish Social Insurance Agency, the Swedish National Board of Health and Welfare, and Statistics Sweden were merged. Results Within the follow-up period of 4 months, 11,955 people were subject to sickness benefit due to COVID-19, whereof 242 people (2.0%) took recurrent sick leave due to COVID-19, and of those 136 (56.2%) remained on sick leave at the end of follow-up. People with recurrent sick leave were older, more often women, and more likely to have been on sick leave prior to the COVID-19 pandemic. Conclusion A group of people presented with recurrent sick leave due to COVID-19. For half of them, the second sick leave lasted throughout the follow-up. People with recurrent sick leave differ in several aspects from those with shorter sick leave. To capture long-term sick-leave patterns due to COVID-19, a longer period of follow-up is needed.

Energy Based Logic Mining Analysis with Hopfield Neural Network for Recruitment Evaluation

An effective recruitment evaluation plays an important role in the success of companies, industries and institutions. In order to obtain insight on the relationship between factors contributing to systematic recruitment, the artificial neural network and logic mining approach can be adopted as a data extraction model. In this work, an energy based k satisfiability reverse analysis incorporating a Hopfield neural network is proposed to extract the relationship between the factors in an electronic (E) recruitment data set. The attributes of E recruitment data set are represented in the form of k satisfiability logical representation. We proposed the logical representation to 2-satisfiability and 3-satisfiability representation, which are regarded as a systematic logical representation. The E recruitment data set is obtained from an insurance agency in Malaysia, with the aim of extracting the relationship of dominant attributes that contribute to positive recruitment among the potential candidates. Thus, our approach is evaluated according to correctness, robustness and accuracy of the induced logic obtained, corresponding to the E recruitment data. According to the experimental simulations with different number of neurons, the findings indicated the effectiveness and robustness of energy based k satisfiability reverse analysis with Hopfield neural network in extracting the dominant attributes toward positive recruitment in the insurance agency in Malaysia.

PENJAMINAN DANA NASABAH BANK OLEH LEMBAGA PENJAMIN SIMPANAN

Liquidation and revocation of banking business licenses has caused public confidence in Indonesian banks to decline. Providing legal certainty in the regulation and supervision of banks and deposit guarantee is one way to increase public trust. The Deposit Insurance Agency is an independent institution that functions to guarantee the savings of banking customers in Indonesia. In this study using descriptive research methods with a normative legal approach. The results of this study indicate that the Indonesian people need security in guaranteeing their funds held in a bank. The goal is that customers increasingly put trust in banks and the more quantity of customers in using banking services. Customer funds guaranteed by the Deposit Insurance Corporation a maximum of Rp 2,000,000,000 (two billion rupiah), for customers whose savings are more than Rp 2,000,000,000 (two billion rupiah), or for customers whose deposits are not guaranteed, will be paid after disbursement of liquidated bank assets.Keywords: Guarantee, Customer Funds, Deposit Insurance Corporation

Personal Selling Strategies and Customer Loyalty among Insurance Companies in Malindi Town, Kilifi County, Kenya

The study examined the influence of personal selling strategies and customer loyalty among insurance companies in Malindi town, Kilifi County, Kenya. The study adopted a descriptive research design. The targeted population was 967 employees working in the selected four insurance companies in Malindi, namely Gateway insurance company limited, Marangi insurance agency, Blue shield Company Limited, Tausi Insurance Agency. The unit of analysis was a sales manager, salespersons and customers. SPSS was used to organize code and analyze information and generate the quantitative report. The data were analyzed using descriptive and inferential statistics. The study concluded that selling strategy, Systems selling strategy, Features selling strategy and Consultative personal selling strategy was positively and significantly associated with customer loyalty. Moreover, the study concluded that selling strategy, Systems selling strat, Features selling strategy and Consultative personal selling strategy were positively and significantly related to customer loyalty. The examination recommended that the insurance agencies in Malindi can utilize the canned selling technique, system selling methodology, features selling system and individual consultative strategy to build the devotion of the clients since they have a personalized experience. Moreover, the research suggests that based on the level of completion in the market, the management in all insurance companies in Kenya to carry out various personal selling strategies to enable the companies to grow and diversify their portfolio to minimize losses and cut down the cost thus enhancing their competitiveness. Moreover, the study recommended systems selling strategies should be put in place to improve operational efficiency and improve the decision-making process to increase their performance. The study also suggested insurance to be more involved in advocating selling their products by clearly establishing the features of a product before making the presentation and to be revealing all the components of any product without hiding any information.