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Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users’ expectations

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  • Capatina, Alexandru
  • Kachour, Maher
  • Lichy, Jessica
  • Micu, Adrian
  • Micu, Angela-Eliza
  • Codignola, Federica

Abstract

The increasing use of Artificial Intelligence (AI) in Social Media Marketing (SMM) triggered the need for this research to identify and further analyze such expectations of potential users of an AI-based software for Social Media Marketing; a software that will be developed in the next two years, based on its future capabilities.

Suggested Citation

  • Capatina, Alexandru & Kachour, Maher & Lichy, Jessica & Micu, Adrian & Micu, Angela-Eliza & Codignola, Federica, 2020. "Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users’ expectations," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    • Handle: RePEc:eee:tefoso:v:151:y:2020:i:c:s0040162519310613
    DOI: 10.1016/j.techfore.2019.119794
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    1. Bhimani, Hardik & Mention, Anne-Laure & Barlatier, Pierre-Jean, 2019. "Social media and innovation: A systematic literature review and future research directions," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 251-269.
    2. Phillips, Fred & Linstone, Hal, 2016. "Key ideas from a 25-year collaboration at technological forecasting & social change," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 158-166.
    3. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    4. Soriano, Domingo Ribeiro, 2010. "Management factors affecting the performance of technology firms," Journal of Business Research, Elsevier, vol. 63(5), pages 463-470, May.
    5. Pappas, Ilias O. & Kourouthanassis, Panos E. & Giannakos, Michail N. & Chrissikopoulos, Vassilios, 2016. "Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions," Journal of Business Research, Elsevier, vol. 69(2), pages 794-803.
    6. Chen, Shih-Chih & Lin, Chieh-Peng, 2019. "Understanding the effect of social media marketing activities: The mediation of social identification, perceived value, and satisfaction," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 22-32.
    7. Khedhaouria, Anis & Thurik, Roy, 2017. "Configurational conditions of national innovation capability: A fuzzy set analysis approach," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 48-58.
    8. Lee, In, 2018. "Social media analytics for enterprises: Typology, methods, and processes," Business Horizons, Elsevier, vol. 61(2), pages 199-210.
    9. de Vries, Lisette & Gensler, Sonja & Leeflang, Peter S.H., 2012. "Popularity of Brand Posts on Brand Fan Pages: An Investigation of the Effects of Social Media Marketing," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 83-91.
    10. Christophe Dutang, 2017. "Some explanations about the IWLS algorithm to fit generalized linear models," Working Papers hal-01577698, HAL.
    11. Woodside, Arch G., 2014. "Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities," Journal of Business Research, Elsevier, vol. 67(12), pages 2495-2503.
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    7. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.
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