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Social Media: Factor Influencing Personal Transport for Leisure

Author

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  • Zainul Mohammad
  • Zamrudi Zakky

    (Islamic University of Kalimantan, Department of Management, Indonesia)

Abstract

This paper is trying to examine the effect of social media in the use of personal transport for leisure purposes. Youngster are frequently identified as being adventurous and highly mobile, even few researcher modes of transportation choices play in important role in enhancing and fulfilling their desired experiences. In this paper, we would like to know the role of social media in enhancing the personal transport desire in south-east Kalimantan. Social media role is measured by borrowing the theory of technology acceptance model by using two variables namely perceived ease of use and perceived usefulness. A quantitative method was used to measure the variable by using questionnaire given to 230 respondents given to university student near south-east Kalimantan. The gathered data is analyzed by using generalized structured component analysis. The finding in this research indicates that both perceived ease of use and perceived usefulness of social media could affect individual intention to use personal transport. However, the larger effect has reflected by perceived usefulness. This means that social media has been recognized as a good reference to stimulate leisure by using personal transport.

Suggested Citation

  • Zainul Mohammad & Zamrudi Zakky, 2019. "Social Media: Factor Influencing Personal Transport for Leisure," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 10(1), pages 79-86, May.
  • Handle: RePEc:vrs:logitl:v:10:y:2019:i:1:p:79-86:n:9
    DOI: 10.2478/logi-2019-0009
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    References listed on IDEAS

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    1. Ayeh, Julian K. & Au, Norman & Law, Rob, 2013. "Predicting the intention to use consumer-generated media for travel planning," Tourism Management, Elsevier, vol. 35(C), pages 132-143.
    2. Hussain, Rahim & Al Nasser, Amjad & Hussain, Yomna K., 2015. "Service quality and customer satisfaction of a UAE-based airline: An empirical investigation," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 167-175.
    3. Zamrudi Zakky & Wicaksono Teguh, 2018. "Promoting the Use of Social Commerce on SME in the Context of Logistics: UTAUT Model Examination," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 9(2), pages 73-82, November.
    4. Kwanghee Jung & Yoshio Takane & Heungsun Hwang & Todd Woodward, 2012. "Dynamic GSCA (Generalized Structured Component Analysis) with Applications to the Analysis of Effective Connectivity in Functional Neuroimaging Data," Psychometrika, Springer;The Psychometric Society, vol. 77(4), pages 827-848, October.
    5. Heungsun Hwang & Yoshio Takane, 2004. "Generalized structured component analysis," Psychometrika, Springer;The Psychometric Society, vol. 69(1), pages 81-99, March.
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