scholarly journals Assessing food retail competitors with a multi-criteria GIS-based method

2018 ◽  
Vol 18 (1) ◽  
pp. 5
Author(s):  
Norat Roig-Tierno ◽  
Amparo Baviera-Puig ◽  
Juan Buitrago-Vera ◽  
Carmen Escriba-Perez

<p>Given the importance of competition in the retail sector, this research builds on spatial interaction theory to develop the competition index (CI). For this, geographic information systems (GIS) and the analytic hierarchy process (AHP) were used. AHP results reveal that key factors to assess competitors relate to location and branding. The proposed method was tested by evaluating 45 supermarkets in the city of Castellón (Spain). Using this method, sales targets can be adapted to each outlet’s individual circumstances.</p>

2018 ◽  
Vol 18 (1) ◽  
pp. 5
Author(s):  
Norat Roig-Tierno ◽  
Amparo Baviera-Puig ◽  
Juan Buitrago-Vera ◽  
Carmen Escriba-Perez

<p>Given the importance of competition in the retail sector, this research builds on spatial interaction theory to develop the competition index (CI). For this, geographic information systems (GIS) and the analytic hierarchy process (AHP) were used. AHP results reveal that key factors to assess competitors relate to location and branding. The proposed method was tested by evaluating 45 supermarkets in the city of Castellón (Spain). Using this method, sales targets can be adapted to each outlet’s individual circumstances.</p>


2014 ◽  
Vol 707 ◽  
pp. 525-531
Author(s):  
Ze Ming Jiang ◽  
Cong Hou

By using Analytic Hierarchy Process (AHP), a solution is given in different aspects to analyze the weight of the impacts of electric vehicles. The economic and social impacts are found out to be the key factors. When EV’s penetration rate reaches a certain level, the lowest cost, lowest harm degree to our environment and society, and maximum possibility are considered to avoid using un-renewable energy. In addition, multi-objective programming model is built to solve the problem of the amount and type of electricity generation needed that will produce the largest number of benefits.


Author(s):  
Ji-Feng Ding ◽  
Chung-Yuan Dye ◽  
Shin-Yun Liang ◽  
Chien-Chang Chou ◽  
Wen-Jui Tseng ◽  
...  

The development of multi-country consolidation services has become a major feasible direction for major ocean freight forwarding firms in Taiwan. However, ocean freight forwarding firms must ponder which factors are most important when considering with the development of multi-country consolidation services. Therefore, the main purpose of this article was to apply the fuzzy analytic hierarchy process method to evaluate the key factors influencing the development of multi-country consolidation services for ocean freight forwarding firms in Taiwan. Based on the literature and experts’ opinions, a hierarchical structure with 4 assessment aspects and 16 assessment factors was first constructed, and the steps of fuzzy analytic hierarchy process method then proposed. Finally, based on the analytic hierarchy process experts’ questionnaires, we used the fuzzy analytic hierarchy process method to evaluate the key factors. The results showed that (1) “cost” is the most important aspect influencing the development of multi-country consolidation services for ocean freight forwarding firms in Taiwan; (2) in order of relative importance, the top eight key factors influencing the development of multi-country consolidation services for ocean freight forwarding firms in Taiwan are “cargo accuracy and tracking management,”“consolidation cost,”“deregulation of operations,”“transport cost,”“integrated logistics information management,”“high frequency of ship sailings,”“logistics-related operating costs,” and “convenience of customs clearance,” respectively. Furthermore, some discussions and recommendations concerning practical implications are provided for ocean freight forwarding firms operating in the multi-country consolidation market.


2010 ◽  
Vol 4 (1) ◽  
pp. 96-104 ◽  
Author(s):  
Tsung-Lin Lee

In this paper, the application of the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) combined with a set of criteria analysis for the selection of appropriate sites for the development offshore wind energy in Taiwan is presented. The Fuzzy AHP was first conducted to rank the importance and identify the key factors of offshore wind energy successfully. From the numerical results, eight key factors that must be considered in the site selection of offshore wind energy system in Taiwan were obtained by using Fuzzy AHP model. They are: wind power, earthquakes, land use, shore type, typhoon, distance to shoreline, flight safety and water depth. Based on these factors, a set of criteria for the selection of sites for offshore wind farms was also established using five different sites in Taiwan. From the assessment results, it was found that Changhua coastal region is an appropriate site for offshore wind energy in Taiwan.


2020 ◽  
Vol 12 (18) ◽  
pp. 7418
Author(s):  
Soyoung Kim ◽  
Boyoung Kim

This study was conducted to present a consumer acceptance model for artificial intelligence (AI)-generated news articles in review of the most significant factors in the context of accepting AI-generated news articles. To this end, a survey was conducted regarding five key factors among individuals handling news production at media organizations who were familiar with AI-related news: benefits of technology utilization, recognized values, media reliability, content quality, and information perception. These factors were classified into 19 specific evaluation items in order to determine relative importance. According to the results of pairwise comparison analysis among elements through the analytic hierarchy process, hereunder referred to as AHP (analytic hierarchy process), it turned out that the importance of media reliability and content levels was relatively high, while the importance of recognized values and information perception was relatively low. It also turned out that among 19 specific items, the importance of institutional reliability, which was a subordinate item under media reliability, was of utmost value. Even if news articles were based on AI technology, their readers were more likely to be affected by reliability, which is a major attribute of journalism, than technical factors.


2017 ◽  
Vol 28 (7) ◽  
pp. 763-774 ◽  
Author(s):  
Mohammad Saeed Khademalhoseiny ◽  
Mozhgan Ahmadi Nadoushan ◽  
Hadi Radnezhad

For the selection of the suitable place for the construction of sanitary landfill and biogas plant in the city of Najaf Abad, this study used fuzzy analytic hierarchy process, fuzzy analytic network process, and geographic information system. In this research, factors such as slope, aspect, geology, land use, biomass, and distance from groundwater, electricity network, protected areas, and roads were used as the most important criteria for site selection of biogas plant. The results of weighting and overlaying the maps of different criteria showed that based on the analytic network process, the best place selected for the establishment of biogas reactor was located in the southwest and based on analytic hierarchy process, the best places are located in the south and southwest of the study area. Suggested places, which are the best for the establishment of biogas plant, are located in barren lands of Najaf Abad. Moreover, according to the result, it is found that 10% and 11% of the study area are highly suitable based on fuzzy analytic hierarchy process and analytic network process methods, respectively. The results showed that the usage of fuzzy analytic hierarchy process, fuzzy analytic network process as multi-criteria decision-making methods in combination with geographic information system are suitable for selecting the best place for landfill and biogas plant.


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