2019
DOI: 10.1051/matecconf/201925802023
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Analysis of price fairness toward work quality and user satisfaction for architectural network

Abstract: Construction business is still considered as a prominent business in the entire cities in Indonesia, including Yogyakarta. Contractors compete to get project either by tender or direct order. Both methods will certainly affect the price offered by the contractors. The research aims to understand how big the price gap between tender method and direct order for architectural works along with the work quality and the owner’s satisfaction. Furthermore, several buildings in Yogyakarta become the sample of this rese… Show more

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“…Since then, user satisfaction has aroused wide attention in the marketing community and has been developed through the theoretical construction of multiple researchers [11]. The research on owner satisfaction by domestic and foreign scholars has primarily focused on the evaluation of owner satisfaction [12][13][14][15][16][17][18][19], using owner satisfaction as an important criterion for measuring the success of engineering projects [20][21][22][23][24], and the factors that affect owner satisfaction [25][26][27][28][29]. For example, Li (2018) used a BP neural network to analyze the evaluation indexes of the effect of the entire process of turnkey engineering on customer satisfaction, to guide construction enterprises in improving the satisfaction of owners with turnkey engineering [30].…”
Section: Introductionmentioning
confidence: 99%
“…Since then, user satisfaction has aroused wide attention in the marketing community and has been developed through the theoretical construction of multiple researchers [11]. The research on owner satisfaction by domestic and foreign scholars has primarily focused on the evaluation of owner satisfaction [12][13][14][15][16][17][18][19], using owner satisfaction as an important criterion for measuring the success of engineering projects [20][21][22][23][24], and the factors that affect owner satisfaction [25][26][27][28][29]. For example, Li (2018) used a BP neural network to analyze the evaluation indexes of the effect of the entire process of turnkey engineering on customer satisfaction, to guide construction enterprises in improving the satisfaction of owners with turnkey engineering [30].…”
Section: Introductionmentioning
confidence: 99%