Tantangan Sosial dan Pertumbuhan Transportasi Darat serta Kebijakan Pemerintah atas Transportasi Darat Berbasis Aplikasi Online
DOI:
https://doi.org/10.54324/j.mbtl.v5i2.797Keywords:
Transportation Social Challenges, Government’s Policy, Growth Of Online TransportationAbstract
Increasing mobility of human activities requires transportation modes to be more reliable. The technology offered by online transportation service providers is a new technology in the transportation service industry which can grow rapidly. The technology offered also changes the way consumers use transportation services. This phenomenon also has a major impact on the transportation industry and requires the government to immediately improve regulations on transportation services. Along with consumer behavior that is increasingly digital and more dependent on the internet for daily activities such as information retrieval, shopping, and business transactions, making business both local and foreign begin to present online application-based transportation. The purpose of this study is to analyze and determine the social challenges of transportation and the drivers’ growth in online application-based transportation in Indonesia and their influence on government policy. The population was all application users based on online transportation, and obtained as many as 240 respondents gave responses to the questionnaire. Data were collected by interviews, questionnaires and documentation studies, variables studied using a Likert scale. The questionnaire was first tested using validity and reliability testing, analyzed by SEM analysis. The results found in the hypothesis testing of this study are: simultaneously, the social challenges of transportation and the growth of online application-based transportation have a positive and significant influence on government policy. Partially, the online application-based transportation challenge variables in Indonesia have a significant influence on government policy variables, so that they have a positive and significant influence. Partially, the online application-based transportation growth variable has a significant influence on government policy variables, so it has a positive and significant influence. Based on the 11 Goodness of Fit (GOF) criteria models above, the research model has a fairly good model. This means that the measurement model obtained from the data is in accordance with the research hypothesis. This is because of the 11 criteria, there are 8 criteria that have been fulfilled.References
Arikunto, Suharsimi. Prosedur Penelitian: Suatu Pendekatan Praktik. Jakarta: Rineka Cipta, 2006
Ballon, P. (2007). Business modelling revisited: the configuration of control and value. Info, 9, 6–19, DOI: 10.1108/14636690710816417
Drakulevski, L., Nakov, L. (2014). Managing Business Model as Function of Organizational Dynamism. Management, 72, 37–44, DOI: 10.7595/management.fon.2014.0025
Fifield, P. (2007). Marketing Strategy Masterclass: Making Marketing Strategy Happen. Butterworth-Heinemann
Ghauri, P., & Grønhaug, K. (2002). Research Methods In Business Studies: A Practical Guide (2nd ed.). Person Education.
Hakkert, R., & Kemp, R. G. M. 2006. An Ambition to Grow: A multidisciplinary perspective on the antecedents of growth ambitions, EIM SCALES. Zoetermeer: EIM.
Hult, G. T. M., Snow, C. C., & Kandemir, D. 2003. The role of entrepreneurship in building cultural competitiveness in different organizational types. Journal of Management, 29(3): 401-426.Kinderis, R. (2012). Verslo modeliai – Ekonomika ir vadyba: aktualijos ir perspektyvos, 1, 17–27
Husein Umar, Metode Riset Bisnis, Jakarta: PT Gramedia Pustaka Utama, 2003 Lanning, M. (1998). Delivering Profitable Value: A Revolutionary Framework to Accelerate Growth, Generate
Wealth, and Rediscover the Heart of Business. Basic Books.
Nelson, R. R., & Winter, S. G. 1982. An evolutionary theory of economic change. Cambridge, MA: Belknap Press of Harvard University Press.
Peters, F., Kleef, E., Snijders, R., Elst, J. (2013). The Interrelation between Business Model Components – Key Partners Contributing to a Media Concept. Journal of Media Business Studies, 10, 1–22.
Rodrigue, J-P; Comtois, C.; Slack, B. (2009). The Geography of Transport Systems (2nd ed.). London: Routledge. ISBN 978-0-415- 48324-7
Riduwan dan Sunarto, (2012) Pengantar Statistika Untuk Penelitian: Pendidikan, Sosial, Komunikasi, Ekonomi, dan Bisnis. Bandung: Alfabeta
Sekaran, Uma dan Roger Bougie., (2010) Research Methods For Business (Fifth Edition), West Sussex: Wiley,
Serrat, O. (2012). Business model innovation. Washington, DC: Asia Development bank Sugiyono, (2013) Statistika Untuk Penelitian. Bandung: Alfabeta
White, M.A, Bruton, G.D., (2011) The Management of Technology and Innovation: A Strategic Approach, Second Edition
Widiyanto, Ibnu. 2008. Pointers : Metodologi Penelitian. Semarang: BP Undip
Wijanto, S.H., (2008) “Structural Equation Model dengan LISREL 8.8.” Yogyakarta: Graha Ilmu
Yedluri, Mahesh B. dan Veronica (2016) Decision Framework for Localization of Pharmaceutical Manufacture with Applications in Malaysia and Indonesia. DSpace@mit. available at: http://hdl.handle.net/1721.1/103083
Zhou, H. & Wit, G.D. (2009). Determinants and Dimensions Articles:
Jungleworks. (2018, Januari 09). How Uber Works: Insights into the Business & Revenue Model [Blog post]. Retrieved from: http://nextjuggernaut.com/blog/how-uber-works- business-model-revenue-uber-insights/
