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Intention to Adopt and Willingness to Pay: Mass Rapid Transit (MRT) System in Greater Jakarta, Indonesia

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  • Anwar, Rosiwarna
  • Salehudin, Imam
  • Mukhlish, Basuki Muhammad
  • Ririh, Kirana Rukmayuninda

Abstract

The objective of this study is to explore and examine supportive factors of Mass Rapid Transport (MRT) implementation in Jakarta, Indonesia. Successful implementation requires a proper understanding of which factors are influential to the acceptance of this technology. The population of this study is commuters along the North to South route of Jakarta MRT development site. We surveyed thirteen locations along the track based on the Station Development Plan. We obtained only 392 valid data after the validation and verification process. This study used Factor Analysis (FA) to test the construct validity of the measurement instrument and Path Analysis (PA) to identify significant structural paths between variables. We found that only Attitude and Perceived Usefulness significantly predict Intention to Adopt MRT for private vehicle users, while only Attitude and Subjective Norms significantly predict Intention to Adopt MRT for public transportation users. We found that for current users of private transportation, both Overall Monthly Transport Expenditure and Intention to Adopt have a significant influence on the Willingness to Pay. While for current users of public transports, no predictor is significant for their Willingness to Pay.

Suggested Citation

  • Anwar, Rosiwarna & Salehudin, Imam & Mukhlish, Basuki Muhammad & Ririh, Kirana Rukmayuninda, 2015. "Intention to Adopt and Willingness to Pay: Mass Rapid Transit (MRT) System in Greater Jakarta, Indonesia," MPRA Paper 94204, University Library of Munich, Germany, revised 2016.
  • Handle: RePEc:pra:mprapa:94204
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    References listed on IDEAS

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    1. Erdem, Cumhur & Sentürk, Ismail & Simsek, Türker, 2010. "Identifying the factors affecting the willingness to pay for fuel-efficient vehicles in Turkey: A case of hybrids," Energy Policy, Elsevier, vol. 38(6), pages 3038-3043, June.
    2. Sardianou, E. & Genoudi, P., 2013. "Which factors affect the willingness of consumers to adopt renewable energies?," Renewable Energy, Elsevier, vol. 57(C), pages 1-4.
    3. Arts, Joep W.C. & Frambach, Ruud T. & Bijmolt, Tammo H.A., 2011. "Generalizations on consumer innovation adoption: A meta-analysis on drivers of intention and behavior," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 134-144.
    4. Carlo Andrea Bollino, 2009. "The Willingness to Pay for Renewable Energy Sources: The Case of Italy with Socio-demographic Determinants," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 81-96.
    5. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Intention to Adopt; Willingness to Pay; Technology Acceptance Model; Mass Rapid Transport System; Indonesia;
    All these keywords.

    JEL classification:

    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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