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3 →- MakaleAçık Erişim2024Evaluation of Consumer Complaints: A Case Study Using MAXQDA 2020 Data Analysis Software
Yildiz, Emel; Koçan, Mahmut
This case study examines consumer satisfaction levels and the number of complaints about the Trendyol brand posted on the sikayetvar.com website. This research presents an approach to analyzing the content of electronic complaints and categorizing them via the MAXQDA 2020 data analysis software. The results concur with published research that has observed that the lesser-known brands with low trade volume have high satisfaction levels and a small number of complaints, while well-known brands with high trade volume have high complaints and low satisfaction levels. Consumer dissatisfaction and negative brand image categories account for 54.76% of the complaints. In addition, it has been concluded that supply and cargo problems cause consumer dissatisfaction, and consumer dissatisfaction can negatively affect the brand image. In this context, the consumer-based equity of the brand may increase when the reproach and distrust of the brand decrease. The complaints of other electronic commerce companies can also be examined in prospective studies, and their code-related maps can be created, compared, and partially combined in working towards producing a canonical theme, code, and exemplary expressions.
- MakaleAçık Erişim2024Evaluation of Health System Performance in the Member States of the European Union and the Organization of Economic Development and Cooperation
Köse, Aslı
The aim of this research is to evaluate the health system performance of the European Union (EU) and OECD member countries using the Organization of Economic Cooperation and Development (OECD) performance measurement approach. The data are taken from the OECD and Eurostat databases. According to the efficiency scores obtained through Data Envelopment Analysis, the relationship between the variables in the health system performance model was evaluated with Tobit Regression analysis. Furthermore efficiency ordering of health systems determined in help of super efficiency model. EMS and EViews programs were used to analyze the data. In 2011-2019, the health systems of OECD and EU member countries Greece, Ireland, Norway, Poland, Slovenia, Spain, Sweden, and Estonia were determined to be effective at the performance level according to Data Envelopment Analysis. It has been determined that the Czech Republic, Denmark, Germany, and Austria health systems are not effective at the performance level in three scale types. According to Tobit Regression analysis, it was determined that only life expectancy at birth was effective on health system performance among the variables in the OECD health system performance measurement approach.
- MakaleYalnız künye2013Evaluation of Tr 22 nuts 2 region within the framework of 2012 incentives system
Savrul, Burcu Kılınç; Doğru, Bülent
Incentives are the financial or non-financial assistance and benefits aim to increase investment, production and employment. Investment incentives are used frequently by governments to ensure the development of industries and especially less developed regions. Incentives have been used for many years in Turkey. The purpose of this study is first to provide a comparative evaluation of the 2004, 2006 and 2009 incentive systems implemented in Turkey and the 2012 Incentive System then to analyze TR22 Level 2 Zone in framework of the 2012 Incentive System. At the conclusion, how the effectiveness of the incentives implemented in Turkey can be increased will be determined.
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| creativeworkseries.issn | 1308-5549 | |
| creativeworkseries.issn | 2147-4206 | |
| dc.date.accessioned | 2026-10-22T10:46:05.455273440Z | |
| dc.date.available | 2026-10-22T10:46:05.455273440Z | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/gumushane/19153 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.title | Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi | |
| dspace.entity.type | Journal |

