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Facilitators, characteristics, and impacts of Twitter use: Theoretical analysis and empirical illustration

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  • Aladwani, Adel M.

Abstract

Given its widespread utilization, Twitter has become a key issue for many scholars, public decision makers, and global business managers. Despite this broad interest, there is insufficient research on the different aspects of Twitter use in multigroup settings. Such oversight limits our understanding of the range of elements that can explain Twitter use. This study contributes to the literature by proposing a framework that divides Twitter use into three major components: facilitators, characteristics, and impacts. Secondary data from 41 Twitter accounts and primary data from 20 interviewees, as well as survey responses from 58 individual, business, and government participants, were used to analyze the framework. The study identified and analyzed 65 indicators of Twitter: 28 facilitators, 20 use characteristics, and 17 impact areas. The findings offer insights for decision makers and scholars interested in understanding Twitter use in a multigroup setting. The proposed framework can provide theoretical justifications for and predictions of relevant Twitter issues. Further, it can help policy makers and business managers assess whether certain aspects of Twitter in a given setting need more attention.

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  • Aladwani, Adel M., 2015. "Facilitators, characteristics, and impacts of Twitter use: Theoretical analysis and empirical illustration," International Journal of Information Management, Elsevier, vol. 35(1), pages 15-25.
    • Handle: RePEc:eee:ininma:v:35:y:2015:i:1:p:15-25
    DOI: 10.1016/j.ijinfomgt.2014.09.003
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    References listed on IDEAS

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    Cited by:

    1. Aladwani, Adel M., 2018. "A quality-facilitated socialization model of social commerce decisions," International Journal of Information Management, Elsevier, vol. 40(C), pages 1-7.
    2. Son, Jaebong & Lee, Hyung Koo & Jin, Sung & Lee, Jintae, 2019. "Content features of tweets for effective communication during disasters: A media synchronicity theory perspective," International Journal of Information Management, Elsevier, vol. 45(C), pages 56-68.
    3. Meng Cai & Han Luo & Xiao Meng & Ying Cui & Wei Wang, 2022. "Influence of information attributes on information dissemination in public health emergencies," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-22, December.
    4. Nisar, Tahir M. & Prabhakar, Guru & Patil, Pushp P., 2018. "Sports clubs’ use of social media to increase spectator interest," International Journal of Information Management, Elsevier, vol. 43(C), pages 188-195.
    5. Martínez-Rojas, María & Pardo-Ferreira, María del Carmen & Rubio-Romero, Juan Carlos, 2018. "Twitter as a tool for the management and analysis of emergency situations: A systematic literature review," International Journal of Information Management, Elsevier, vol. 43(C), pages 196-208.
    6. Aladwani, Adel M. & Dwivedi, Yogesh K., 2018. "Towards a theory of SocioCitizenry: Quality anticipation, trust configuration, and approved adaptation of governmental social media," International Journal of Information Management, Elsevier, vol. 43(C), pages 261-272.
    7. Capriotti, Paul & Ruesja, Laura, 2018. "How CEOs use Twitter: A comparative analysis of Global and Latin American companies," International Journal of Information Management, Elsevier, vol. 39(C), pages 242-248.

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