| Literature DB >> 35126247 |
Huiyun Shen1, Jie Yu1, Hua Zhang1, Jin Gou2, Xiangqian Zhang3.
Abstract
E-commerce research usually focuses more on how to protect consumers' rights and increase their purchase intention from the perspective of consumers. However, we still lack understanding of e-commerce sellers, especially cross-border e-commerce sellers. Based on the stimulus-body-response theory, this paper built a moderated mediation model to test the relationships among social support, perceived benefits, perceived usefulness and sellers' willingness to retain. The results show that social support has a positive impact on perceived benefits and sellers' willingness to retain; perceived benefits play a partial intermediary role between social support and sellers' willingness to retain; and perceived usefulness moderates these mediating effects. The research results further expand the perspective of e-commerce research and reveal the mechanism and boundary conditions of the influence of social support on the retention willingness of cross-border e-commerce sellers.Entities:
Keywords: S-O-R theory; cross-border e-commerce; perceived benefits; perceived usefulness; sellers’ willingness to retain; social support
Year: 2022 PMID: 35126247 PMCID: PMC8811207 DOI: 10.3389/fpsyg.2021.797035
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Research model. H4a-Indirect influence of IS on SWTR; H4b-Indirect influence of ES on SWTR; H6a-the conditional indirect relationship of IS with SWTR (through PB); H6b-the conditional indirect relationship of ES with SETR (through PB).
Previous studies related to our research.
| Author | Theme | Research object | Variable | Findings |
|
| Social support and consumer engagement in social commerce | Consumer | Social support; Social shopping intention; Social sharing intention | The social support influence user behaviors on their social shopping intention and social sharing intention. |
|
| Social support on customer satisfaction and citizenship behavior in online brand communities | Consumer | Social support; Consumer satisfaction; Consumer citizenship behavior | Social support significantly affects the customer citizenship behavior through customer satisfaction in online brand communities. |
|
| Social support promotes consumers’ engagement in the social commerce community | Consumer | Social support; consumer engagement | Social supportive significantly affects the consumers’ engagement in the community through consumer involvement. |
|
| Perceived social support and perceived benefit | SNSs users | Perceived social support; | Perceived social support is positive significantly associated with perceived benefits. |
|
| Perceived benefit and consumers’ M-payment service adoption | Consumer | Perceived benefit; | The perception of benefits in using the m-payment positively affects consumers’ intention to use M-payment. |
|
| Consumers’ perceived benefit and their purchase intention. | Consumer | Perceived benefit; Purchase intention | Consumers’ perceived benefit is positively related to their purchase intention. |
|
| Perceived benefit and sellers’ behavior in e-commerce | Sellers in E-commerce | Perceived benefit; Intention to use e-commerce | Perceived benefits had direct effects on the intention to use e-commerce. |
|
| Sellers’ trust and continued use of online marketplaces | Online Sellers | Sellers’ trust; Sellers’ retention of online marketplaces | A seller’s perceived usefulness of using an online marketplace for selling positively influences his/her retention of that marketplace. |
|
| Perceived usefulness and platform-based mobile payment service | Consumer | Perceived usefulness; Intention to use | Perceived usefulness positively affects user attitudes toward mobile payment services. |
|
| Perceived usefulness and online collaborative redistribution platforms | Consumer | Perceived usefulness; platform behavioral intentions | Perceived usefulness of the platform has a direct positive influence on platform behavioral intentions. |
|
| Perceived usefulness and green logistics platforms | Consumer | Perceived usefulness; Intention to use | The perceived usefulness for users increases the intention to use the green logistics platform. |
Scales of the constructs.
| Construct | Items | Resources | |
| Social support | Information support | When I encounter difficulties, some of the cross-border e-commerce practitioners who interact with me can provide me with some information and help me solve the difficulties. | |
| When I need help, some of the cross-border e-commerce practitioners who interact with me can give me advice. | |||
| When I face difficulties, some of the cross-border e-commerce practitioners who interact with me can help me find the cause of the problem and provide suggestions. | |||
| Emotional support | When I faced difficulties, some of the cross-border e-commerce practitioners who interacted with me are on my side with me. | ||
| When I face difficulties, some of the cross-border e-commerce practitioners who interact with me will comfort and encourage me. | |||
| When I face difficulties, some of the cross-border e-commerce practitioners who interact with me will expressed interest and concern in my well-being. | |||
| Perceived benefits | Interaction with other cross-border e-commerce practitioners can help me reduce operation costs (personnel, rent, order, and payment processing). |
| |
| Interaction with other cross-border e-commerce practitioners can help me reduce market costs (communications, interaction, customer information management, bypassing intermediaries). | |||
| Interaction with other cross-border e-commerce practitioners can help me reduce the cost of maintaining up-to-date company information. | |||
| Interaction with other cross-border e-commerce practitioners can help me reduce the company’s transaction costs (purchasing, sales). | |||
| Interaction with other cross-border e-commerce practitioners can help me extending firm’s reach (market). | |||
| Interaction with other cross-border e-commerce practitioners can help me improve the differentiation of products and services. | |||
| Interaction with other cross-border e-commerce practitioners can help me improve competitive position. | |||
| Interaction with other cross-border e-commerce practitioners can help me to promote communication between companies. | |||
| Interaction with other cross-border e-commerce practitioners can help me increase revenue. | |||
| Interaction with other cross-border e-commerce practitioners can help me improve the company’s image. | |||
| Perceived usefulness | This platform can improve my performance in product search and product sales. |
| |
| This platform allows me to be more efficient in product search and product sales. | |||
| This platform can enhance my effectiveness in product search and product sales. | |||
| Seller’s willingness to retain | Given the chance, I predict that I would consider continuing to engage in cross-border e-commerce transactions in the future. | ||
| It is likely that I will continue to work in cross-border e-commerce in the future. | |||
| Given the opportunity, I intend to sell products to cross-border consumers. | |||
Reliability and convergent validity.
| Construct | Cronbach’s α | CR | AVE |
| Emotional support | 0.770 | 0.866 | 0.684 |
| Information support | 0.722 | 0.844 | 0.645 |
| Perceived benefits | 0.928 | 0.940 | 0.609 |
| Perceived usefulness | 0.805 | 0.884 | 0.719 |
| Seller’s willingness to retain | 0.848 | 0.908 | 0.767 |
CR, composite reliability; AVE, average variance extracted.
Analysis of discriminative validity.
| ES | IS | PB | PU | SWTR | Age | Education | Gender | |
| ES |
| |||||||
| IS | 0.575 |
| ||||||
| PB | 0.772 | 0.599 |
| |||||
| PU | 0.757 | 0.502 | 0.742 |
| ||||
| SWTR | 0.608 | 0.588 | 0.688 | 0.675 |
| |||
| Age | 0.022 | 0.258 | 0.108 | 0.065 | 0.108 |
| ||
| Education | –0.326 | 0.013 | –0.197 | –0.311 | –0.199 | 0.369 |
| |
| Gender | –0.078 | –0.008 | –0.076 | –0.047 | –0.016 | –0.008 | 0.231 |
|
The bold font on the diagonal are the square roots of the AVEs and the lower triangle is the Pearson correlation coefficient.
Factor loadings (bolded) and cross-loadings.
| ES | IS | PB | PU | SWTR | |
| ES1 |
| 0.590 | 0.580 | 0.607 | 0.503 |
| ES2 |
| 0.411 | 0.550 | 0.601 | 0.432 |
| ES3 |
| 0.436 | 0.759 | 0.667 | 0.560 |
| IS1 | 0.350 |
| 0.400 | 0.300 | 0.385 |
| IS2 | 0.477 |
| 0.528 | 0.443 | 0.533 |
| IS3 | 0.543 |
| 0.504 | 0.450 | 0.485 |
| PB1 | 0.689 | 0.376 |
| 0.611 | 0.532 |
| PB2 | 0.646 | 0.645 |
| 0.612 | 0.600 |
| PB3 | 0.619 | 0.514 |
| 0.594 | 0.669 |
| PB4 | 0.624 | 0.619 |
| 0.586 | 0.604 |
| PB5 | 0.503 | 0.526 |
| 0.508 | 0.498 |
| PB6 | 0.564 | 0.387 |
| 0.515 | 0.375 |
| PB7 | 0.672 | 0.374 |
| 0.630 | 0.464 |
| PB8 | 0.641 | 0.312 |
| 0.596 | 0.461 |
| PB9 | 0.579 | 0.418 |
| 0.594 | 0.520 |
| PB10 | 0.479 | 0.452 |
| 0.538 | 0.590 |
| PU1 | 0.650 | 0.238 | 0.520 |
| 0.449 |
| PU2 | 0.640 | 0.494 | 0.674 |
| 0.546 |
| PU3 | 0.646 | 0.500 | 0.673 |
| 0.682 |
| SWTR1 | 0.620 | 0.505 | 0.622 | 0.676 |
|
| SWTR2 | 0.438 | 0.476 | 0.559 | 0.519 |
|
| SWTR3 | 0.527 | 0.561 | 0.622 | 0.569 |
|
FIGURE 2Structural model results.
Summary of the tests of mediating effects.
| Dependent variable | Results | Bootstrap results | |||||
| Point estimate | Boot LL | Boot UL | |||||
| Independent variable | Mediating variable | Mediation | |||||
| Emotional support | Perceived benefits | 3.995 | Yes | 0.286 | 0.000 | 0.147 | 0.429 |
| Information support | Perceived benefits | 2.439 | Yes | 0.104 | 0.015 | 0.037 | 0.204 |
Moderated mediation model test.
| Perceived benefits | Emotional support | Information support | ||||||
| Boot indirect effect | Boot | Boot LL | Boot UL | Boot indirect | Boot | Boot LL | Boot UL | |
| –1 SD | 0.033 | 0.074 | –0.107 | 0.178 | 0.011 | 0.042 | –0.074 | 0.093 |