How impacting factors affect Chinese green purchasing behavior based on Fuzzy Cognitive Maps

被引:61
|
作者
Wang, Yaxing [1 ]
Li, Yan [2 ]
Zhang, Jiuyue [2 ]
Su, Xin [3 ]
机构
[1] Renmin Univ China, Sch Business, Beijing 100872, Peoples R China
[2] Renmin Univ China, Sch Environm & Nat Resources, Beijing 100872, Peoples R China
[3] Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing 100876, Peoples R China
关键词
Consumption value; Green purchasing behavior; Private attribute; Fuzzy cognitive map; Gap between green intention and behavior; CORPORATE SOCIAL-RESPONSIBILITY; CONSUMPTION BEHAVIORS; CONSUMERS; PRODUCTS; VALUES; DETERMINANTS; ATTRIBUTES; INTENTION; DECISIONS; ATTITUDES;
D O I
10.1016/j.jclepro.2019.118199
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Green products have significant social value and according to the theory of consumption value, the combination of social value and other values can achieve green purchasing behavior. This paper focuses on the interaction between the essential functional value of green products and its social value and epistemic value in green purchasing behavior. Based on the comparative analysis of the representative cities consumer survey data and big sales data of green products online, a fuzzy cognitive map is used to quantitatively study the ways they interact to affect the gap between green intention and actual behavior. The difference between the actual premium of green products and the willingness of consumers to pay extra is currently the biggest factor hindering green behavior. However, if the social value of green products has a private attribute, it will effectively improve the green consumption behavior. The credibility of green products would enhance the functional value and epistemic value in order to reduce the barriers caused from price gaps. Furthermore, the diversity of sales channels increases the bargaining power of green products and also reduces the intention-behavior gap. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Antecedent Factors of Green Purchasing Behavior: Learning Experiences, Social Cognitive Factors, and Green Marketing
    Susanty, Aries
    Puspitasari, Nia Budi
    Prastawa, Heru
    Listyawardhani, Pradhipta
    Tjahjono, Benny
    FRONTIERS IN PSYCHOLOGY, 2021, 12
  • [2] On the Behavior of Fuzzy Grey Cognitive Maps
    Concepcion, Leonardo
    Napoles, Gonzalo
    Bello, Rafael
    Vanhoof, Koen
    ROUGH SETS, IJCRS 2020, 2020, 12179 : 462 - 476
  • [3] Rule Based Fuzzy Cognitive Maps and Fuzzy Cognitive Maps -: A comparative study
    Carvalho, JP
    Tomé, JAB
    18TH INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS, 1999, : 115 - 119
  • [4] How psychological factors affect speeding behavior: Analysis based on an extended theory of planned behavior in a Chinese sample
    Ding, Yang
    Zhao, Xiaohua
    Wu, Yiping
    Zhang, Xiaolong
    He, Chenxi
    Liu, Shuo
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2023, 93 : 143 - 158
  • [5] Issues on the stability of fuzzy cognitive maps and rule-based fuzzy cognitive maps
    Carvalho, JP
    Tomé, JAB
    2002 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY PROCEEDINGS, 2002, : 105 - 110
  • [6] Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps
    Concepcion, Leonardo
    Napoles, Gonzalo
    Falcon, Rafael
    Vanhoof, Koen
    Bello, Rafael
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (05) : 1252 - 1261
  • [7] How will route guidance information affect cognitive maps?
    Jackson, PG
    JOURNAL OF NAVIGATION, 1996, 49 (02): : 178 - 186
  • [8] An Empirical Study on the Factors Impacting Chinese Customers Purchasing Intention on Samsung Smart Phones
    Ruan Xiaowen
    2016 INTERNATIONAL CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCES (LISS' 2016), 2016,
  • [9] Empirical Comparison of Fuzzy Cognitive Maps and Dynamic Rule-based Fuzzy Cognitive Maps
    Mourhir, Asmaa
    Papageorgiou, Elpiniki I.
    THIRTEENTH INTERNATIONAL CONFERENCE ON AUTONOMIC AND AUTONOMOUS SYSTEMS (ICAS 2017), 2017, : 66 - 72
  • [10] How to improve the convergence on sigmoid Fuzzy Cognitive Maps?
    Napoles, Gonzalo
    Bello, Rafael
    Vanhoof, Koen
    INTELLIGENT DATA ANALYSIS, 2014, 18 : S77 - S88