دانلود رایگان مقاله تصمیم گیری هوشمندانه رفتار خرید آنلاین مبتنی بر اینترنت اشیا – سال 2020
مشخصات مقاله:
عنوان فارسی مقاله:
تصمیم گیری هوشمندانه رفتار خرید آنلاین مبتنی بر اینترنت اشیا
عنوان انگلیسی مقاله:
Intelligent decision-making of online shopping behavior based on internet of things
کلمات کلیدی مقاله:
بررسی رفتارهای جستجو، محصولات بازیافتی، سنسور نیروی گیر، سنسور ردیابی چشم، اینترنت اشیاء (IoT)
کلمات کلیدی انگلیسی:
Online reviews search behavior – Recycled products – Grip force sensor – Eye-tracking sensor – Internet of Things (IoT)
مناسب برای رشته های دانشگاهی زیر:
مدیریت
مناسب برای گرایش های دانشگاهی زیر:
بازاریابی
وضعیت مقاله انگلیسی و ترجمه:
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فهرست مطالب:
1. Introduction
2. Method
2.1. Study 1: grip force test
2.1.1. Participants
2.1.2. Experiment procedure
2.2. Study 2: eye-tracking test
2.2.1. Participants
2.2.2. Materials
2.2.3. Experimental facilities and experiment procedure
3. Results and analysis
3.1. Human contact degrees of recycled water reuses
3.2. Consumers’ online information search behavior
3.2.1. Heat map analysis
3.2.2. Fixation time comparison
3.2.3. Interactive effect analysis
4. Discussion
4.1. Discussion of the findings
4.2. Theoretical implications
4.3. Practical implications
5. Conclusions
5.1. Limitations and future research directions
Conflicts of interest
Funding
Acknowledgements
Appendix A. Supplementary data
Research Data
References
قسمتی از مقاله انگلیسی:
1. Introduction
The traditional business model is changed by the expansion of big data and the evolution of Internet of Things (IoT) technologies are changing gradually. E-commerce is the combination of traditional business model and network technology as well as information technology in the information era, so it is facing with both important opportunities and challenges. Internet of Things uses sensor technologies to acquire information, such as the status, location and properties of physical world (Raguseo, 2018; Yang et al., 2018). Increasing number of traditional management model has made breakthrough based on the combination of new technologies such as IoT, big data and cloud storage (Jiang et al., 2018). A sensor can be used to detect physical phenomenons such as humidity, temperature, and even human behaviors. Multiple sensors can be attached to one object or device. For example, speed sensors could be attached to vehicles to detect the speed. It is difficult to obtain such information through traditional sources, but is capable in the Internet of Things. User behavior and preferences could be known more accurately based on the information, which is of great importance in e-business (Perera, Zaslavsky, Christen, & Georgakopoulos, 2014). Today, new sensor technologies, such as the eye-tracking sensor technology, which was emerged and developed in recent years makes it possible for us to know the behavior characteristics of consumers during the online shopping process better. Further, sensor data could be sent to the cloud, then processed by the big data platform, and ultimately serve for webpage design, e-marketing and also e-advertising (see in Fig. 1).
