Anteseden dan konsekuen dari online relationship quality dalam bisnis e-commerce
P enelitian ini bertujuan untuk meneliti Anteseden dan Konsekuensi yangditimbulkan dari Online Relationship Quality dalam website e-commerce.Pengumpulan data dilakukan secara online melalui Google Form dengan hasil yangdapat diteliti sebanyak 210 responden. Pengambilan sample menggunakan metodePurposive sampling. Analisis data menggunakan Structural Equation Model (SEM)pada progam AMOS 22.0. Hasil penelitian menunjukkan terdapat pengaruh positifFinancial Bonds, Structural Bonds dan Perceived Vendor Reputation terhadap OnlineRelationship Quality. namun terdapat pengaruh negatif Online Information Qualityterhadap Online Relationship Quality. Selanjutnya ditemukan bahwa Online SystemQuality, Online Information Quality, Online Service Quality, dan Social Bonds tidakberpengaruh positif terhadap Online Relationship Quality. Terakhir, ditemukanOnline Relationship Quality berpengaruh positif terhadap EWOM, Online CustomerLoyalty dan Online Customer Review. Untuk peneliti selanjutnya diharapkan dapatmenambahkan variabel lain yaitu Regulatory Fit dan Relationship Investment.
T his research aims to examine the antecedents and consequences of onlinerelationship quality in E-Commerce’ Website. Online questionnaires are distributedvia google doc and 210 respondents are collected. Data collected by using purposivesampling method. Structural Equation Model (SEM) is used for hypothesis testing inAMOS 22.0 programmes. The results found that Financial Bonds, Structural Bondsand Perceived Vendor Reputation have a positive influence on Online RelationshipQuality, but Online Information Quality has a negative influence on OnlineRelationship Quality. However, Online System Quality, Online Information Quality,Online Service Quality, Social Bonds have not a positive influence on OnlineRelationship Quality. Moreover, it is shown that Online Relationship Qualitypositively influence EWOM, Online Customer Loyalty and Online Customer Review.For future research, it is suggested to add more variables such as Regulatory Fit andRelationship Investment.