| Literature DB >> 35392107 |
Abstract
This research examines the moderating role of gender on the adoption of online payment systems (OPS). It also explores the impact of using OPS on the performance of SMEs in an emerging economy, using the Technology Acceptance Model (TAM) and Resource-Based View (RBV). The results indicate that male SME owners (entrepreneurs) are more likely to focus on perceived usefulness, whereas female SME entrepreneurs are more likely to focus on perceived ease of use while adopting OPS, according to data obtained from 302 SMEs in Bangladesh through face-to-face surveys. The results also report that the use of OPS has a considerable positive effect on SMEs' performance. The study's findings will add to the scarce research on the impact of using OPS on business performance in the context of SMEs in emerging economies, in addition to enhancing the OPS adoption literature from a gendered lens.Entities:
Keywords: Bangladesh; SMEs; business performance; emerging economies; gender; online payment system (OPS); resource-based view (RBV); technology acceptance model (TAM)
Year: 2022 PMID: 35392107 PMCID: PMC8981142 DOI: 10.3389/frma.2022.842670
Source DB: PubMed Journal: Front Res Metr Anal ISSN: 2504-0537
Figure 1Research model.
Industry/Sector categorisation.
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| Agribusiness | 23 | 7.615 |
| Beauty salon | 23 | 7.615 |
| Handicrafts | 23 | 7.615 |
| Retailer/Grocery shop | 23 | 7.615 |
| Outsourcing (including content makers) | 23 | 7.615 |
| Textile boutique shop | 23 | 7.615 |
| Knitwear and readymade garments | 23 | 7.615 |
| ICT | 23 | 7.615 |
| Educational and consultancy services | 23 | 7.615 |
| Healthcare and pharmaceuticals | 23 | 7.615 |
| Infrastructure (Property, Transport and Storage) | 23 | 7.615 |
| Restaurant & Catering service | 23 | 7.615 |
| Broadcasting, advertising and event management | 23 | 7.615 |
| Others | 3 | 0.99 |
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Figure 2Frequency of the sectors considered in sampling.
Figure 3Frequency of the sectors considered in sampling.
List of variables used in this research.
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| H1 | Perceived ease of use (PEU) | Behavioural intention (BI)/Adoption of OPS | Not applicable (NA) |
| H2 | Perceived usefulness (PU) | Behavioural intention (BI)/Adoption of OPS | Not applicable (NA) |
| H3 | Perceived ease of use (PEU) | Behavioural intention (BI)/Adoption of OPS | Gender |
| H4 | Perceived usefulness (PU) | Behavioural intention (BI)/Adoption of OPS | Gender |
| H5 | Behavioural intention (BI)/Adoption of OPS | Use of OPS | |
| H6 | Use of OPS | SME performance (annual firm revenue) | |
| H7 | Use of OPS | SME performance (annual firm revenue) | Gender |
Theoretical Framework related to hypotheses.
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| H1: Entrepreneurs' perceived ease of use (PEU) positively influences their behavioural intention (BI) of adopting the online payment systems in their SMEs. | Explaining adoption with TAM |
| H2: Entrepreneurs' perceived usefulness (PU) positively influences their behavioural intention (BI) of adopting the online payment systems in their SMEs. | |
| H3: Gender moderates perceived ease of use (PEU) toward entrepreneurs' adoption of the online payment systems in their SMEs. | |
| H4: Gender moderates perceived usefulness (PU) toward entrepreneurs' adoption of the online payment systems in their SMEs. | |
| H5: Entrepreneurs' behavioural intention (BI) of adopting the online payment systems positively influences their use of the online payment systems in their SMEs. | |
| H6: Entrepreneurs' use of the online payment systems as a strategic resource is positively associated with the financial performance of their organisations. | Examining impact with RBV |
| H7: Gender of the entrepreneurs moderates the OPS use and SME performance relationship in such a way that the use of OPS adds more to performance in male-led SMEs compared to female-led SMEs. |
Outcomes of hypotheses test.
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| Yes (0.315 | Supported | ||
| Yes (0.603 | Supported | ||
| Yes (−0.453 | Supported | ||
| Yes (0.502 | Supported | ||
| Yes (0.227 | Supported | ||
| Yes (0.596 | Supported | ||
| Yes (0.447 | Supported | ||
p < 0.01,
p < 0.05, .
Output of the structural model—online payment system adoption in SMEs in Bangladesh.
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| H1 | PEU → BI | 0.315 | 0.001 | Supported | P-value of Chi square = 0.243; SRMR = 0.017; TLI = 0.971; CFI = 0.993; and RMSEA = 0.031 |
| H2 | PU → BI | 0.603 | 0.000 | Supported | |
| H3 | Gender | −0.453 | 0.027 | Supported | |
| H4 | Gender | 0.502 | 0.004 | Supported | |
| H5 | BI → OPS | 0.227 | 0.023 | Supported |
p < 0.01,
p < 0.05,
p < 0.1.
Regression outputs—the impact of the online payment system on SME performance.
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| Location | 0.007 (0.011) | 0.009 (0.011) |
| SME industry | 0.670 | 0.723 |
| Entrepreneur's age | 0.060 | 0.056 |
| Start-up capital requirement | 0.037 | 0.037 |
| Number of employees | 0.253 | 0.289 |
| Firm age | 0.174 | 0.104 (0.075) |
| Type of enterprise (B2B/B2C/B2G) | 0.462 | 0.550 |
| Entrepreneurs' gender | 1.221 | 1.031 |
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| Online payment system use | 0.596 | |
| Gender | 0.447 | |
| R-squared | 0.556 | 0.670 |
| Constant | 10.156 | 9.346 |
| Observations | 302 | 302 |
Standard errors in parentheses;
p < 0.01,
p < 0.05,
p < 0.1.