ABSTRACT
The retail industry is a large service platform where national and international manufacturers bring their products to consumers. Today, the retail sector, both bricks-and-mortar and online, is developing and adapting to the changing needs of the customers. Depending on the changing demand patterns of the customers, one can notice that key success criteria of the sector transform as well. Rapid adaptation to changing requirements of the retail sector is necessary in order to survive in the increased competition and to increase the market share among the other companies. In order to analyze the sector in Turkey, retail brands that are selected from the largest 500 companies of Turkey (Capital 500 list) were examined using the relevant success criteria. Key success factors have been chosen from the existing literature about the retail sector. Firstly, retailing was examined in a theoretical framework to better undersand the elements that define the sector alongside technological capabilities of the sector. Additionally the effects of Covid-19 on e-retailing were also evaluated with the purpose of determining the changes forced upon the sector by the pandemic. In the light of the findings, the emerging companies, observed changes and directional shifts, and the size of the competition in Turkish retailing sector are discussed. Success criteria were chosen from the existing literature, and were weighted in accordance with importance ranks obtained through content analysis. Considering success criteria, DEA analysis has been carried out and the efficiency level of the companies has been evaluated. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The retail industry is a large service platform where national and international manufacturers bring their products to consumers. Today, the retail sector, both bricks-and-mortar and online, is developing and adapting to the changing needs of the customers. Depending on the changing demand patterns of the customers, one can notice that key success criteria of the sector transform as well. Rapid adaptation to changing requirements of the retail sector is necessary in order to survive in the increased competition and to increase the market share among the other companies. In order to analyze the sector in Turkey, retail brands that are selected from the largest 500 companies of Turkey (Capital 500 list) were examined using the relevant success criteria. Key success factors have been chosen from the existing literature about the retail sector. Firstly, retailing was examined in a theoretical framework to better undersand the elements that define the sector alongside technological capabilities of the sector. Additionally the effects of Covid-19 on e-retailing were also evaluated with the purpose of determining the changes forced upon the sector by the pandemic. In the light of the findings, the emerging companies, observed changes and directional shifts, and the size of the competition in Turkish retailing sector are discussed. Success criteria were chosen from the existing literature, and were weighted in accordance with importance ranks obtained through content analysis. Considering success criteria, DEA analysis has been carried out and the efficiency level of the companies has been evaluated. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
House projects kept changing in the Philippines, because of the changing needs and demands of the market valuation. Predicting the housing prices will be the focus of the study especially during the CoVid-19 pandemic. As the Consumer Price Index (CPI in the Philippines increased to 123.40 points in September from 123.30 points in August of 2020 [8]. The researcher will use Hedonic Regression Model techniques for analyzing its statistical technique for investigating and modeling the relationship between variables that will be applied in the study. In the data collection, the regression analysis will be the basis for collecting the data such as its historical data, observational study, and design experiment of housing prices before the CoVid19 pandemic came in the Philippines. The results and conclusion of the different machine algorithms will be used showing that regression analysis is the best technique for prediction of prices for housing in the Philippines during the Pandemic. The study will apply parameters that can calculate house valuations within Metro Manila. © 2021 ACM.