E-HEALTH APPLICATIONS in TURKEY

Abstract

Warranty is a type of contract where there is a seller commitment to satisfy the same conditions of the product at the selling date for a reasonable period of time. The services performed under this commitment are called standard warranty services. Nowadays, inte nse competition in some industries pushes firms to offer extended warranty on top of initial warranty period. This development precludes future probable revenues from spare parts and repair services during the life time of the product and concentrates significant portion of life time value of the product to the selling date. Consequently, financial performance of the companies is improved in the short run, while is deteriorated in the long run as if the companies treat extra warranty periods as standard warranty periods and accounts th em accordingly. In this study, the separation of standard and extended warranty periods will be discussed and the accounting and measurement principles of those two situations in accordance with International Financial Reporting Standards will be examine d. Finally, recommendations for fair presentation of warranty services across the industries will be presented.

The role of Frailty on Adverse Outcomes Among Older Patients with COVID-19

“…Since the year 2014, the Ministry of Health has set up health data warehouses covering the whole country and plans to use informatics applications through data obtained from the center. In 2015, the Ministry of Health established the “e-Pulse” system as a national health information system, which can be accessed only by authorized persons and institutions, which has a broad bandwidth and covers the whole country 14 . Since Turkey operates a mandatory universal system called General Healthcare Insurance (GHI), all Turkish residents can receive medical services free of charge by the Social Security Institution (SSI).…”

An Integrated Strategy for Cost Optimization of Reverse Logistics Network Under Uncertain Environment

“…For outsourcing reverse logistics, Tavana [5] developed an integrated intuitionistic fuzzy AHP and SWOT method, the method could simultaneously satisfy the constraints and the goal to a maximal degree to derive the solution. To do quantitatively with inexact information in making decisions, Demirel (2016) evaluated a mixed integer linear programming model to optimize reverse logistics activities of end-of-life vehicles in Turkey [6], Djikanovic (2016) extended a new integrated forward and reverse logistics model in a case study [7], and Ayvaz (2015) gave a stochastic reverse logistics network design for the waste of electrical and electronic equipment [8].…”