Uncovering the antecedents of trust in social commerce: an application of the non-linear artificial neural network approach

被引:30
|
作者
Alnoor, Alhamzah [1 ,2 ]
Al-Abrrow, Hadi [3 ]
Al Halbusi, Hussam [4 ]
Khaw, Khai Wah [1 ]
Chew, XinYing [5 ]
Al-Maatoq, Marwa [2 ]
Alharbi, Raed Khamis [6 ]
机构
[1] Univ Sains Malaysia, Sch Management, George Town, Malaysia
[2] Southern Tech Univ, Management Tech Coll, Basrah, Iraq
[3] Univ Basrah, Coll Adm & Econ, Dept Business Adm, Basrah, Iraq
[4] Ahmed Bin Mohammed Mil Coll, Dept Management, Doha, Qatar
[5] Univ Sains Malaysia, Sch Comp Sci, George Town, Malaysia
[6] Taif Univ, Coll Adm & Financial Sci, At Taif, Saudi Arabia
关键词
Social presence theory; Social support theory; UTAUT2; Diffusion of innovation theory; Innovation resistance theory; Trust in m-social commerce; INNOVATION RESISTANCE; MOBILE COMMERCE; INFORMATION-TECHNOLOGY; PRACTICE GAP; SUPPORT; DIFFUSION; INTENTION; IMPACT; MEDIA; SEM;
D O I
10.1108/CR-04-2021-0051
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose The internet creates ample opportunities to start a mobile social commerce business. The literature confirms the issue of customer trust for social commerce businesses is a challenge that must be addressed. Hence, this study aims to examine the antecedents of trust in mobile social commerce by applying linear and non-linear relationships based on partial least squares structural equation modeling and artificial neural network model. Design/methodology/approach This study applied a non-linear artificial neural network approach to provide a further understanding of the determinants of trust in mobile social commerce based on a non-linear and non-compensatory model. Besides, a questionnaire was distributed to 340 social commerce customers in Malaysia. Findings The conceptual framework for investigating trust in mobile social commerce has various advantages and contributions to predicting consumer behavior. The results of the study showed there is a positive and significant relationship between social support, presence and unified theory of acceptance and use of technology2 (UTAUT2). In addition, UTAUT2 has fully mediated the relationship between social support, presence and trust in social commerce. Finally, the results concluded the relationship between UTAUT2 and trust in social commerce would be stronger when the diffusion of innovation and innovation resistance is high and low, respectively. Research limitations/implications The current study provides a novel perspective on how customers can trust social m-commerce to provide real solutions to managers of encouraging e-marketing among consumers. Practical implications This paper shows how businesses can develop trust in social m-commerce in Malaysian markets. The findings of this study probably could be extended to other businesses in Asia or other countries. Because trust in social e-commerce has a dynamic role in consumer behavior and intention to purchase. Originality/value This study provided a new perspective on mobile social commerce and paid more attention to an investigation of such emerging commerce. The originality of this study is embodied by investigating an integrated model that included different theories that presented new directions of trust in mobile social commerce through social and behavioral determinants.
引用
收藏
页码:492 / 523
页数:32
相关论文
共 50 条
  • [41] A Note on Fractional-Order Non-Linear Controller: Possible Neural Network Approach to Design
    Petras, Ivo
    [J]. 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2016, : 603 - 608
  • [42] Non-linear autoregressive neural network approach for inside air temperature prediction of a pillar cooler
    Islam, M. P.
    Morimoto, T.
    [J]. INTERNATIONAL JOURNAL OF GREEN ENERGY, 2017, 14 (02) : 141 - 149
  • [43] Model algorithmic control of non-linear based on neural network
    Zou, Yufeng
    [J]. Changsha Dianli Xueyuan Xuebao/Journal of Changsha University of Electric Power, 14 (01): : 23 - 24
  • [44] Non-Linear Text Regression with a Deep Convolutional Neural Network
    Bitvai, Zsolt
    Cohn, Trevor
    [J]. PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2, 2015, : 180 - 185
  • [45] A new framework of neural network for non-linear system modeling
    Mizukami, Y
    Satoh, T
    Tanaka, K
    [J]. ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE, 2002, : 65 - 69
  • [47] Analysis of structural information in non-linear neural network models
    Haeusler, Joachim
    [J]. INTERNATIONAL JOURNAL OF PSYCHOLOGY, 2008, 43 (3-4) : 786 - 786
  • [48] A neural network model of parametric non-linear hysteretic inductors
    Cincotti, S
    Marchesi, M
    Serri, A
    [J]. IEEE TRANSACTIONS ON MAGNETICS, 1998, 34 (05) : 3040 - 3043
  • [49] Neural Network-Based Non-linear A/D Conversion
    Bensenouci, Mohamed Amine
    Escid, Hammoudi
    Attari, Mokhtar
    Bensenouci, Ahmed
    [J]. 2015 IEEE INTERNATIONAL CIRCUITS AND SYSTEMS SYMPOSIUM (ICSYS), 2015, : 142 - 145
  • [50] A proposal of neural network architecture for non-linear function approximation
    Mizukami, Y
    Wakasa, Y
    Tanaka, K
    [J]. PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, 2004, : 605 - 608