کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
351090 618462 2013 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Online shopping delivery delay: Finding a psychological recovery strategy by online consumer experiences
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Online shopping delivery delay: Finding a psychological recovery strategy by online consumer experiences
چکیده انگلیسی


• We propose online consumer experiences (OCEs) for psychological recovery.
• We conducted 2 studies, and 1078 online shoppers participated in this study.
• OCEs could increase satisfaction and reduce complaint during delivery delay.
• Desire for control moderated the OCEs effects.
• Consumer susceptibility to interpersonal influence moderated the OCEs effects.

We propose a new type of psychological recovery strategy (i.e., online consumer experiences, OCEs) for online shopping delivery delay. We developed 4 types of OCEs based on the interactivity concept (low machine interactivity with low person interactivity, MIL–PIL; high machine interactivity with low person interactivity, MIH–PIL; low machine interactivity with high person interactivity, MIL–PIH, and high machine interactivity with high person interactivity, MIH–PIH). We conducted 2 studies, and 1078 online shoppers participated in this study. The results indicate that when consumers meet a delivery delay, proving them with OCEs could increase satisfaction and reduce complaint intention. Cognitive dissonance (CD) from inconsistency between OCEs and direct experience also moderates OCEs effects on satisfaction, repurchase intention, and complaint intention. Finally, desire for control (DC) and consumer susceptibility to interpersonal influence (CSII) moderate the OCEs effects on satisfaction, repurchase intention, and complaint intention: consumers with low DC and low CSII prefer MIL–PIL; consumers with high DC and low CSII prefer MIH–PIL, consumers with low DC and high CSII prefer MIL–PIH, and consumers with high DC and high CSII prefer MIH–PIH.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 29, Issue 4, July 2013, Pages 1849–1861
نویسندگان
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