Papers’ research design
| Authors (year) | Type | Method | Theoretical perspectives | Country/Region studied | Country of authorship | Sample | Industry | Type of digital platform |
|---|---|---|---|---|---|---|---|---|
| Ahsan and Musteen (2021) | qualitative | single case study | Cognitive Perspective of International Entrepreneurship | Denmark | U.S. | 1 start-up | Manufacturing | Crowdfunding platform |
| Alarcón-del-Amo et al. (2018) | quantitative | survey, online | Theory of Reasoned Action; Expectancy-Value Theory | Spain | Spain | 152 firms1 | All | Social media |
| Anwar et al. (2022) | quantitative | survey, self-administered | Dynamic Capabilities | Pakistan | Germany | 213 SMEs | Manufacturing | Unspecified |
| Aronica et al. (2021) | quantitative | secondary data | Technology-Organization-Environment Framework | Italy | Italy | 19,248 SMEs | All | Social media |
| Caputo et al. (2022) | quantitative | secondary data | Exploration-Exploitation Perspective | Italy | Italy, France | 746 SMEs with foreign activities | All | Social media |
| Cassetta et al. (2020) | quantitative | secondary data (previous survey) | Resource-Based View | Italy | Italy | 2,516 SMEs | All | Several |
| Cassia and Magno (2022a) | quantitative | survey, online | Resource-Based View, Dynamic Capabilities | Italy | Italy | 101 exporting SMEs | Food and Beverage | E-commerce platform |
| Cassia and Magno (2022b) | quantitative | survey, online | Exploration-Exploitation Perspective | Italy | Italy | 110 exporting SMEs | Food and Beverage | E-commerce platform |
| Crespo et al. (2023) | quantitative | survey, online | Resource-Based View | Portugal | Portugal | 213 INVs | Several | Unspecified |
| Da Fonseca et al. (2023) | qualitative | multiple case study | Ecosystems Perspective | Brazil | Brazil | 8 SMEs | Manufacturing | Social media |
| Deng and Wang (2016) | quantitative | secondary data | Early Mover Advantages | Several | China | 297,846 export transactions | B2B | E-commerce platform |
| Dillon et al. (2020) | qualitative | multiple case study | Opportunity Recognition Framework | Australia | Australia | 16 small virtual firms | Service | Several |
| Eid et al. (2020) | quantitative | survey, online | Diffusion of Innovations Theory, Technology Acceptance Model | UK | UAE, Egypt, UK | 277 SMEs | B2B | Social media |
| Elia et al. (2021) | quantitative | secondary data | Resource-Based View | Italy | Italy, UK | 102 firms | Design and Furniture, Fashion, Food and Beverage | E-commerce platform |
| Fan et al. (2023) | quantitative | survey, field, and online | Empowerment Theory, Value Chain Theory | China | China | 425 MSMEs | Several | E-commerce platform |
| Fraccastoro et al. (2021a) | qualitative | multiple case study | Internalization Theory, Network Theory | Finland, Sweden, New Zealand | Finland, Sweden | 3 SMEs | Beverage | Social media |
| Fraccastoro et al. (2021b) | qualitative | multiple case study | Grounded Theory | Brazil, Finland, Italy, Poland, US | Finland, U.S. | 10 SMEs | B2B Service | Social media |
| Gabrielsson et al. (2022) | qualitative | single case study | Effectuation, Network Theory | n.a | Finland | 1 firm from inception to accelerated growth | Mobile gaming | Gaming Platform |
| Glavas et al. (2019) | qualitative | multiple case study | Organizational Learning | Australia | Australia | 13 SME | Manufact-uring and services | Unspecified |
| Guo et al. (2023) | quantitative | survey, online | Knowledge Management | China | China, Italy | 203 multinational SMEs2 | Manufacturing | Unspecified |
| Hervé et al. (2020) | quantitative | secondary data | n.a | Switzerland | Switzerland | 190 MSMEs | Manufacturing | Unspecified |
| Hossain et al. (2021) | qualitative | personal interviews | Diffusion of Innovations Theory, Technology-Organization-Environment Framework | Bangladesh | Bangladesh, Australia | 23 small firms | Several | E-commerce platform |
| Hui (2020) | quantitative | secondary (panel) data | n.a | US | US | e-Bay sellers | n.a | E-commerce platform |
| Hultman et al. (2023) | quantitative | survey | Network Theory | Kazakhstan | Canada, UK, Sweden, Finland | 169 exporting SMEs | Several | Social media |
| Jean and Kim (2020) | quantitative | survey (personal and telephone) | Resource-Based View | China | Taiwan, US | 250 SMEs | All | Unspecified |
| Jean et al. (2020) | quantitative | survey (personal and telephone) | Transaction Cost Economics | China | Taiwan, S. Korea, US | 273 INVs | Hardware, electronics, other | E-commerce platform |
| Jin and Hurd (2018) | qualitative | multiple case study | n.a | New Zealand, China | New Zealand | 4 SMEs | Natural and Health products | E-commerce platform |
| Kim and Lee (2016) | quantitative | survey, online | Resource-Based View, Transaction Cost Economics | S. Korea | S. Korea | 295 firms, mostly SMEs | All | E-commerce platform |
| Kromidha and Robson (2021) | quantitative | Secondary (panel) data | Signaling Theory | 54 countries | UK | 4,446 SMEs | All | Social media, Crowdfunding platform |
| Lee and Falahat (2019) | quantitative | survey, online | Resource-Based View | Malaysia | Malaysia | 143 SMEs | Manufacturing | Unspecified |
| Lee et al. (2022) | mixed methods | personal interviews, surveys (e-mail and face-to-face) | Network Theory | China | China, S. Korea, UK | 26 SMEs, 250 SMEs | All | Social media, E-commerce platforms |
| Lee et al. (2023) | mixed methods | personal interviews, surveys (e-mail and face-to-face) | Institutional Theory | China | China, S. Korea, UK | 17 INVs, 260 INVs | All | E-commerce platform |
| Lehdonvirta et al. (2019) | mixed methods | big data analytics, interviews | Transaction Cost Economics, Signaling Theory | Several | UK, South Africa | 6 months of transaction records 107 micro providers | n.a | Online labor platform |
| Mäki and Toivola (2021) | qualitative | Action research, multiple case study | n.a | Finland | Finland | 10 SMEs | Several | E-commerce platform |
| Neubert (2018) | qualitative | multiple case study | n.a | n.a | Canada | 73 startups | Technology | Several |
| Pereira et al. (2022) | quantitative | survey, online | n.a | Portugal | Portugal | 310 firms (93% SMEs) | All | E-commerce platform |
| Qi et al. (2020) | qualitative | single case study | Transaction Cost Economics | Japan, China | China, UK | 1 SME | Beauty | E-commerce platform |
| Reim et al. (2022) | qualitative | multiple case study | n.a | Sweden, Finland | Sweden, Finland | 29 SMEs | Several | Unspecified |
| Rialp-Criado et al. (2020) | quantitative | survey, online | n.a | Spain | Spain, Norway | 337 exporters (67% SMEs) | Several | Social media |
| Rienda et al. (2021) | quantitative | secondary data | Resource-Based View | UK, Ireland | UK, Ireland | 102 SMEs | Fashion | Social media |
| Singh et al. (2023) | qualitative | multiple case study | Institutional Theory | India | US, UK, India | 5 SMEs | n.a | E-commerce platform |
| Tobiassen and Pettersen (2023) | qualitative | multiple case study | Network Theory | Norway | Norway | 4 Born Globals | Software | Social media |
| Tolstoy et al. (2021) | quantitative | survey, online | Effectuation Theory | Sweden | Sweden | 99 SMEs | Retailing | E-commerce platform |
| Tolstoy et al. (2022) | quantitative | survey, online | Capabilities Perspective | Sweden | Sweden | 99 SMEs | Retailing | E-commerce platform |
| Tolstoy et al. (2023) | quantitative | survey, online | Effectuation Theory | Sweden | Sweden | 99 SMEs | Retailing | E-commerce platform |
| Troise et al. (2023) | qualitative | multiple case study | Resource-Based View, Knowledge-Based View | Italy | Italy, UK, Cyprus, Finland | 48 SMEs | Several | Crowdfunding |
| Vadana et al. (2020) | qualitative | multiple case study | Bricolage Theory | Finland | Finland | 3 SMEs | Service | Proprietary platform |
| Virglerová et al. (2022) | quantitative | survey, online | n.a | Czech Republic, Hungary, Poland, Slovakia | Italy, Czech Republic | 1,585 SMEs | Several | Social media |
| Westerlund (2020) | quantitative | secondary data | n.a | Canada | Canada | 535 SMEs | All | Several |
| Williams et al. (2020) | quantitative | survey, online | Knowledge-Based View | China | UK, Canada, China | 117 SMEs | High-tech | Social media |
| Witek-Hadjuk et al. (2022) | qualitative | multiple case study | n.a | Poland | Poland | 4 SMEs | Fashion | E-commerce platform |
| Authors (year) | Type | Method | Theoretical perspectives | Country/Region studied | Country of authorship | Sample | Industry | Type of digital platform |
|---|---|---|---|---|---|---|---|---|
| qualitative | single case study | Cognitive Perspective of International Entrepreneurship | Denmark | U.S. | 1 start-up | Manufacturing | Crowdfunding platform | |
| quantitative | survey, online | Theory of Reasoned Action; Expectancy-Value Theory | Spain | Spain | 152 firms1 | All | Social media | |
| quantitative | survey, self-administered | Dynamic Capabilities | Pakistan | Germany | 213 SMEs | Manufacturing | Unspecified | |
| quantitative | secondary data | Technology-Organization-Environment Framework | Italy | Italy | 19,248 SMEs | All | Social media | |
| quantitative | secondary data | Exploration-Exploitation Perspective | Italy | Italy, France | 746 SMEs with foreign activities | All | Social media | |
| quantitative | secondary data (previous survey) | Resource-Based View | Italy | Italy | 2,516 SMEs | All | Several | |
| quantitative | survey, online | Resource-Based View, Dynamic Capabilities | Italy | Italy | 101 exporting SMEs | Food and Beverage | E-commerce platform | |
| quantitative | survey, online | Exploration-Exploitation Perspective | Italy | Italy | 110 exporting SMEs | Food and Beverage | E-commerce platform | |
| quantitative | survey, online | Resource-Based View | Portugal | Portugal | 213 INVs | Several | Unspecified | |
| qualitative | multiple case study | Ecosystems Perspective | Brazil | Brazil | 8 SMEs | Manufacturing | Social media | |
| quantitative | secondary data | Early Mover Advantages | Several | China | 297,846 export transactions | B2B | E-commerce platform | |
| qualitative | multiple case study | Opportunity Recognition Framework | Australia | Australia | 16 small virtual firms | Service | Several | |
| quantitative | survey, online | Diffusion of Innovations Theory, Technology Acceptance Model | UK | UAE, Egypt, UK | 277 SMEs | B2B | Social media | |
| quantitative | secondary data | Resource-Based View | Italy | Italy, UK | 102 firms | Design and Furniture, Fashion, Food and Beverage | E-commerce platform | |
| quantitative | survey, field, and online | Empowerment Theory, Value Chain Theory | China | China | 425 MSMEs | Several | E-commerce platform | |
| qualitative | multiple case study | Internalization Theory, Network Theory | Finland, Sweden, New Zealand | Finland, Sweden | 3 SMEs | Beverage | Social media | |
| qualitative | multiple case study | Grounded Theory | Brazil, Finland, Italy, Poland, US | Finland, U.S. | 10 SMEs | B2B Service | Social media | |
| qualitative | single case study | Effectuation, Network Theory | n.a | Finland | 1 firm from inception to accelerated growth | Mobile gaming | Gaming Platform | |
| qualitative | multiple case study | Organizational Learning | Australia | Australia | 13 SME | Manufact-uring and services | Unspecified | |
| quantitative | survey, online | Knowledge Management | China | China, Italy | 203 multinational SMEs2 | Manufacturing | Unspecified | |
| quantitative | secondary data | n.a | Switzerland | Switzerland | 190 MSMEs | Manufacturing | Unspecified | |
| qualitative | personal interviews | Diffusion of Innovations Theory, Technology-Organization-Environment Framework | Bangladesh | Bangladesh, Australia | 23 small firms | Several | E-commerce platform | |
| quantitative | secondary (panel) data | n.a | US | US | e-Bay sellers | n.a | E-commerce platform | |
| quantitative | survey | Network Theory | Kazakhstan | Canada, UK, Sweden, Finland | 169 exporting SMEs | Several | Social media | |
| quantitative | survey (personal and telephone) | Resource-Based View | China | Taiwan, US | 250 SMEs | All | Unspecified | |
| quantitative | survey (personal and telephone) | Transaction Cost Economics | China | Taiwan, S. Korea, US | 273 INVs | Hardware, electronics, other | E-commerce platform | |
| qualitative | multiple case study | n.a | New Zealand, China | New Zealand | 4 SMEs | Natural and Health products | E-commerce platform | |
| quantitative | survey, online | Resource-Based View, Transaction Cost Economics | S. Korea | S. Korea | 295 firms, mostly SMEs | All | E-commerce platform | |
| quantitative | Secondary (panel) data | Signaling Theory | 54 countries | UK | 4,446 SMEs | All | Social media, Crowdfunding platform | |
| quantitative | survey, online | Resource-Based View | Malaysia | Malaysia | 143 SMEs | Manufacturing | Unspecified | |
| mixed methods | personal interviews, surveys (e-mail and face-to-face) | Network Theory | China | China, S. Korea, UK | 26 SMEs, 250 SMEs | All | Social media, E-commerce platforms | |
| mixed methods | personal interviews, surveys (e-mail and face-to-face) | Institutional Theory | China | China, S. Korea, UK | 17 INVs, 260 INVs | All | E-commerce platform | |
| mixed methods | big data analytics, interviews | Transaction Cost Economics, Signaling Theory | Several | UK, South Africa | 6 months of transaction records | n.a | Online labor platform | |
| qualitative | Action research, multiple case study | n.a | Finland | Finland | 10 SMEs | Several | E-commerce platform | |
| qualitative | multiple case study | n.a | n.a | Canada | 73 startups | Technology | Several | |
| quantitative | survey, online | n.a | Portugal | Portugal | 310 firms (93% SMEs) | All | E-commerce platform | |
| qualitative | single case study | Transaction Cost Economics | Japan, China | China, UK | 1 SME | Beauty | E-commerce platform | |
| qualitative | multiple case study | n.a | Sweden, Finland | Sweden, Finland | 29 SMEs | Several | Unspecified | |
| quantitative | survey, online | n.a | Spain | Spain, Norway | 337 exporters (67% SMEs) | Several | Social media | |
| quantitative | secondary data | Resource-Based View | UK, Ireland | UK, Ireland | 102 SMEs | Fashion | Social media | |
| qualitative | multiple case study | Institutional Theory | India | US, UK, India | 5 SMEs | n.a | E-commerce platform | |
| qualitative | multiple case study | Network Theory | Norway | Norway | 4 Born Globals | Software | Social media | |
| quantitative | survey, online | Effectuation Theory | Sweden | Sweden | 99 SMEs | Retailing | E-commerce platform | |
| quantitative | survey, online | Capabilities Perspective | Sweden | Sweden | 99 SMEs | Retailing | E-commerce platform | |
| quantitative | survey, online | Effectuation Theory | Sweden | Sweden | 99 SMEs | Retailing | E-commerce platform | |
| qualitative | multiple case study | Resource-Based View, Knowledge-Based View | Italy | Italy, UK, Cyprus, Finland | 48 SMEs | Several | Crowdfunding | |
| qualitative | multiple case study | Bricolage Theory | Finland | Finland | 3 SMEs | Service | Proprietary platform | |
| quantitative | survey, online | n.a | Czech Republic, Hungary, Poland, Slovakia | Italy, Czech Republic | 1,585 SMEs | Several | Social media | |
| quantitative | secondary data | n.a | Canada | Canada | 535 SMEs | All | Several | |
| quantitative | survey, online | Knowledge-Based View | China | UK, Canada, China | 117 SMEs | High-tech | Social media | |
| qualitative | multiple case study | n.a | Poland | Poland | 4 SMEs | Fashion | E-commerce platform |
Note(s): 1 Firm size not specified: average 151.84 employees for the whole sample
2 Includes firms with up to 1,000 employees, following China’s official definition of an SME
n.a. = not available
Source(s): Created by authors
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