Analysis on Quantified Self-Behavior of Customers in Food Consumption under the Perspective of Social Networks
China is still facing the double challenges of over nutrition and malnutrition. One of the main reasons is the lack of residents’ understanding of the nutritional value of food. Quantified self, as a measure of consumer self-activity, has been used to analyze food consumption behavior recently. Alth...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6001654 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832549643490164736 |
|---|---|
| author | Lei Lei Yaling Zhu Qiang Liu |
| author_facet | Lei Lei Yaling Zhu Qiang Liu |
| author_sort | Lei Lei |
| collection | DOAJ |
| description | China is still facing the double challenges of over nutrition and malnutrition. One of the main reasons is the lack of residents’ understanding of the nutritional value of food. Quantified self, as a measure of consumer self-activity, has been used to analyze food consumption behavior recently. Although the research results are increasing, the conclusions are not consistent. What’s more, previous literatures did not consider food consumption behavior based on the theory of information perception and the risk perception theory. In addition to obtaining information through their own human capital for quantitative activities, consumers will also obtain information through social networks. In view of the above understanding, this study uses experimental design and field survey to obtain data, uses Heckman two-step method and PLS path modeling method to analyze the impact of consumers’ quantified self-behavior on their health food consumption, and discusses the moderating role of social networks based on the perspective of complex network. The results show that (1) consumers’ health awareness can promote their choice of quantified self-behavior, (2) consumers’ quantified self-behavior is helpful to promote their purchase intention and purchase scale of healthy food, and (3) social networks play a positive moderating role in consumers’ quantified self-influence on their healthy food consumption. Both emotional networks and instrumental networks have significant moderating effect, but the formal is stronger. This article not only considers the relationship between food consumption behavior and social network but also the enhances literature based on the theory of information perception and the risk perception theory. |
| format | Article |
| id | doaj-art-400b2d5d1e814285b3bcac15df1c1be4 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-400b2d5d1e814285b3bcac15df1c1be42025-02-03T06:10:45ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/60016546001654Analysis on Quantified Self-Behavior of Customers in Food Consumption under the Perspective of Social NetworksLei Lei0Yaling Zhu1Qiang Liu2School of Economics and Finance, Xi’an Jiaotong University, Xi’an710064, ChinaInternational Business School, Shaanxi Normal University, Xi’an 710119, ChinaSports Department, Central South University, Changsha 410083, ChinaChina is still facing the double challenges of over nutrition and malnutrition. One of the main reasons is the lack of residents’ understanding of the nutritional value of food. Quantified self, as a measure of consumer self-activity, has been used to analyze food consumption behavior recently. Although the research results are increasing, the conclusions are not consistent. What’s more, previous literatures did not consider food consumption behavior based on the theory of information perception and the risk perception theory. In addition to obtaining information through their own human capital for quantitative activities, consumers will also obtain information through social networks. In view of the above understanding, this study uses experimental design and field survey to obtain data, uses Heckman two-step method and PLS path modeling method to analyze the impact of consumers’ quantified self-behavior on their health food consumption, and discusses the moderating role of social networks based on the perspective of complex network. The results show that (1) consumers’ health awareness can promote their choice of quantified self-behavior, (2) consumers’ quantified self-behavior is helpful to promote their purchase intention and purchase scale of healthy food, and (3) social networks play a positive moderating role in consumers’ quantified self-influence on their healthy food consumption. Both emotional networks and instrumental networks have significant moderating effect, but the formal is stronger. This article not only considers the relationship between food consumption behavior and social network but also the enhances literature based on the theory of information perception and the risk perception theory.http://dx.doi.org/10.1155/2021/6001654 |
| spellingShingle | Lei Lei Yaling Zhu Qiang Liu Analysis on Quantified Self-Behavior of Customers in Food Consumption under the Perspective of Social Networks Complexity |
| title | Analysis on Quantified Self-Behavior of Customers in Food Consumption under the Perspective of Social Networks |
| title_full | Analysis on Quantified Self-Behavior of Customers in Food Consumption under the Perspective of Social Networks |
| title_fullStr | Analysis on Quantified Self-Behavior of Customers in Food Consumption under the Perspective of Social Networks |
| title_full_unstemmed | Analysis on Quantified Self-Behavior of Customers in Food Consumption under the Perspective of Social Networks |
| title_short | Analysis on Quantified Self-Behavior of Customers in Food Consumption under the Perspective of Social Networks |
| title_sort | analysis on quantified self behavior of customers in food consumption under the perspective of social networks |
| url | http://dx.doi.org/10.1155/2021/6001654 |
| work_keys_str_mv | AT leilei analysisonquantifiedselfbehaviorofcustomersinfoodconsumptionundertheperspectiveofsocialnetworks AT yalingzhu analysisonquantifiedselfbehaviorofcustomersinfoodconsumptionundertheperspectiveofsocialnetworks AT qiangliu analysisonquantifiedselfbehaviorofcustomersinfoodconsumptionundertheperspectiveofsocialnetworks |