The constant growth of air travel in the Philippines has brought about significant consequences to air traffic congestion. Given limited resources, major airports seek to address this issue while considering various a...The constant growth of air travel in the Philippines has brought about significant consequences to air traffic congestion. Given limited resources, major airports seek to address this issue while considering various attributes generally affecting air transportation. This paper adopts fuzzy decision-making trial and evaluation laboratory-analytic network process （DEMATEL-ANP） to identify the most critical attributes in the commercial aviation industry. A case study participated by key experts of Ninoy Aquino International Airport was conducted to illustrate the proposed approach. The fuzzy DEMATELANP model performed satisfactorily as it was able to extract the global priority vectors of attributes under a fuzzy environment. The results showed that aviation safety is most prioritized, as can also be seen from the significant influence it brings on other attributes. Following next to safety in terms of priority axe attributes that address the general air transportation system such as economic value, environmental value, social value, equitable treatment of competing airline, customer goodwill, and utilization of runway and terminal. Then, attributes relating to passenger cost, fuel cost, extra crew cost, landing/take-off fee, and cost of using flight routes axe of last priority. Given the order of priorities and criticality of each attribute, shortterm and long-term policies can be framed accordingly to propose air traffic flow management actions that can best address the issue on congestion.展开更多
This paper aims to identify the antecedents of buying behavior for secondhand clothing among millennials,as well as to determine their underlying causal relationships.Upon a comprehensive literature search,a total of ...This paper aims to identify the antecedents of buying behavior for secondhand clothing among millennials,as well as to determine their underlying causal relationships.Upon a comprehensive literature search,a total of 18 antecedents were found,and these are categorized into three motives,namely,economic,hedonic and recreational,and critical.As a case study in the Philippines,a focus group discussion among experts who are active millennial secondhand clothing users and buyers were tasked to identify the antecedents they have experienced and further confirm those extracted from the literature.To establish the causal relationships of these antecedents,categorize them into net causes or net effects,and address the vagueness associated with the decision-making process,a fuzzy DEMATEL method is used.Results reveal that avoidance of conventional channels proves to be the antecedent providing the highest impact among all other antecedents.Uniqueness,high quality,and fashion trend found to be the antecedents with the highest impacts received,making them the major net effects.Findings from this work hope to provide a framework among practitioners that would lead to a better understanding of millennials’buying behavior for secondhand clothing.展开更多
基金the Engineering Research and Development for Technology (ERDT) of the Philippine Department of Science and Technology (DOST) for the financial support provided through the full graduate scholarship grant of the first author
文摘The constant growth of air travel in the Philippines has brought about significant consequences to air traffic congestion. Given limited resources, major airports seek to address this issue while considering various attributes generally affecting air transportation. This paper adopts fuzzy decision-making trial and evaluation laboratory-analytic network process （DEMATEL-ANP） to identify the most critical attributes in the commercial aviation industry. A case study participated by key experts of Ninoy Aquino International Airport was conducted to illustrate the proposed approach. The fuzzy DEMATELANP model performed satisfactorily as it was able to extract the global priority vectors of attributes under a fuzzy environment. The results showed that aviation safety is most prioritized, as can also be seen from the significant influence it brings on other attributes. Following next to safety in terms of priority axe attributes that address the general air transportation system such as economic value, environmental value, social value, equitable treatment of competing airline, customer goodwill, and utilization of runway and terminal. Then, attributes relating to passenger cost, fuel cost, extra crew cost, landing/take-off fee, and cost of using flight routes axe of last priority. Given the order of priorities and criticality of each attribute, shortterm and long-term policies can be framed accordingly to propose air traffic flow management actions that can best address the issue on congestion.
文摘This paper aims to identify the antecedents of buying behavior for secondhand clothing among millennials,as well as to determine their underlying causal relationships.Upon a comprehensive literature search,a total of 18 antecedents were found,and these are categorized into three motives,namely,economic,hedonic and recreational,and critical.As a case study in the Philippines,a focus group discussion among experts who are active millennial secondhand clothing users and buyers were tasked to identify the antecedents they have experienced and further confirm those extracted from the literature.To establish the causal relationships of these antecedents,categorize them into net causes or net effects,and address the vagueness associated with the decision-making process,a fuzzy DEMATEL method is used.Results reveal that avoidance of conventional channels proves to be the antecedent providing the highest impact among all other antecedents.Uniqueness,high quality,and fashion trend found to be the antecedents with the highest impacts received,making them the major net effects.Findings from this work hope to provide a framework among practitioners that would lead to a better understanding of millennials’buying behavior for secondhand clothing.
