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Social network enterprise behaviors and patterns in SMEs: Lessons from a Portuguese local community centered around the tourism industry

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  • Fernandes, Silvia
  • Belo, Ana
  • Castela, Guilherme

Abstract

This study analyzes uses of social networks by small and medium-sized enterprises (SMEs) at the Algarve region in Portugal. Results suggest that some firms have integrated their business strategies with social networks, and have groups of professionals responsible for these platforms. Most managers perceive that social networks enhance business performance, but few measure the results. Firms that most frequently use social networks have managers with higher qualifications. This study identified two types of social-network use: a) product–client interaction and knowledge/(re)search, and b) marketing potential. A complementary analysis (cluster analysis) identified three behavioral patterns with varying involvement with social networks. These patterns relate with types of use, suggesting a level of social media involvement/performance. Enhancing performance is likely related to knowledge-oriented social networks. This study also suggests an approach for measuring the gap between types of social network use-behavioral/performance patterns and the reality in successful firms, which would be useful to apply or transfer to other firms and communities.

Suggested Citation

  • Fernandes, Silvia & Belo, Ana & Castela, Guilherme, 2016. "Social network enterprise behaviors and patterns in SMEs: Lessons from a Portuguese local community centered around the tourism industry," Technology in Society, Elsevier, vol. 44(C), pages 15-22.
  • Handle: RePEc:eee:teinso:v:44:y:2016:i:c:p:15-22
    DOI: 10.1016/j.techsoc.2015.11.004
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    Cited by:

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    6. Lu Zhang & Xiaochao Guo & Zhimei Lei & Ming K. Lim, 2019. "Social Network Analysis of Sustainable Human Resource Management from the Employee Training’s Perspective," Sustainability, MDPI, vol. 11(2), pages 1-20, January.
    7. Yadegaridehkordi, Elaheh & Nilashi, Mehrbakhsh & Nizam Bin Md Nasir, Mohd Hairul & Momtazi, Saeedeh & Samad, Sarminah & Supriyanto, Eko & Ghabban, Fahad, 2021. "Customers segmentation in eco-friendly hotels using multi-criteria and machine learning techniques," Technology in Society, Elsevier, vol. 65(C).
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    9. Fernandes, S. & Cesário, M. & Barata, J.M., 2017. "Ways to open innovation: Main agents and sources in the Portuguese case," Technology in Society, Elsevier, vol. 51(C), pages 153-162.
    10. Qalati, Sikander Ali & Yuan, Li Wen & Khan, Muhammad Aamir Shafique & Anwar, Farooq, 2021. "A mediated model on the adoption of social media and SMEs’ performance in developing countries," Technology in Society, Elsevier, vol. 64(C).
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    12. Rakshit, Sandip & Mondal, Sandeep & Islam, Nazrul & Jasimuddin, Sajjad & Zhang, Zuopeng, 2021. "Social media and the new product development during COVID-19: An integrated model for SMEs," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
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