The Evolution of "GOJEK" as an Indonesian Urban Mobile Ride Hailing Model Study Case: Public and Government Regulatory Responses on Urban Mobile Ride Hailing

The emergence of mobile-based transportation and transaction is rapidly gaining popularity, particularly among urbanized areas. Thus, paper sought to illustration the evolution of GoJek as a form of public transportation through the lens of statutory law, government policies, and other public documents that are related to what GoJek has become today. Other relevant topics related to the emergence of GoJek such as transportation, MSME and economic matters are also discussed. The setting/context for this study will be Indonesian policies and the characters such as ride-hailing companies and the public. Law and regulations from January 2010 until December of 2019 were gathered using text mining. Collected data were then analysed with the help of a qualitative data analysis software called NVivo. Finding shows that GoJek has become the most prominent ride-haling in Indonesia, and the positive sympathy from the public helped in pressing the government for its legalisation. It was also found out that GoJek has also helped MSME and in boosting the national economy. In 2018, GoJek, thorough its GoFood service, has recorded an unprecedented 500 million orders. Also, GoJek has been emphasizing on the importance of self-regulation among professional services and co-regulation among industries. Compared to a direct regulation, a co-regulatory approach is more effective and flexible and offers better chances of protecting the welfare of the consumers as it employs a dialogue process between stakeholders where the results deviate from the common state command-and-control regulation.

[1]  L. Böcker,et al.  Innovation Studies Utrecht (ISU) Working Paper Series , 2016 .

[2]  Ioanna D. Constantiou,et al.  Four Models of Sharing Economy Platforms , 2017, MIS Q. Executive.

[3]  Robert M. Schindler,et al.  Nostalgic bonding: exploring the role of nostalgia in the consumption experience , 2003 .

[4]  Putu Wuri Handayani,et al.  Service Quality Analysis for Online Transportation Services: Case Study of GO-JEK , 2017 .

[5]  Anjar Wanto,et al.  Analysis of the Selection Factor of Online Transportation in the VIKOR Method in Pematangsiantar City , 2019, Journal of Physics: Conference Series.

[6]  Cristiano Codagnone,et al.  The Passions and the Interests: Unpacking the 'Sharing Economy' , 2016 .

[7]  L. D. Olvera,et al.  Looking for the obvious: Motorcycle taxi services in Sub-Saharan African cities , 2020, Journal of Transport Geography.

[8]  Muhamad Azhar,et al.  Legal Aspects of PT. Gojek Indonesia in the Partnership Agreement Dealing with the Public Transport Standards , 2018 .

[9]  P Purnawan,et al.  The potential of problems on operational Go-Jek and Grab Bike , 2019, Journal of Physics: Conference Series.

[10]  Cyrille Medard de Chardon,et al.  A multi-scale fine-grained LUTI model to simulate land use scenarios in Luxembourg , 2018 .

[11]  A. Sundararajan,et al.  Peer-to-Peer Rental Markets in the Sharing Economy , 2015 .

[12]  J. Pinkse,et al.  Promises and paradoxes of the sharing economy: An organizing framework , 2017 .

[13]  K. Frenken Sustainability perspectives on the sharing economy , 2017 .

[14]  Huijun Sun,et al.  Understanding the imbalance of the taxi market: From the high-quality customer’s perspective , 2019 .

[15]  Vytautas Snieška,et al.  Evaluating Sustainability of Sharing Economy Business Models , 2015 .

[16]  Qian Liu,et al.  A panel analysis of the effect of the urban environment on the spatiotemporal pattern of taxi demand , 2020 .

[17]  Josep Maria Salanova Grau,et al.  Agent-Based Simulation Framework for the Taxi Sector Modeling , 2018, ANT/SEIT.

[18]  Dan Shao,et al.  Urban taxi ridership analysis in the emerging metropolis: Case study in Shanghai , 2020, Case Studies on Transport Policy.

[19]  John M. Carroll,et al.  The Sharing Economy: Friend or Foe? , 2015, ICIS.

[20]  W. Y. Szeto,et al.  A dynamic taxi traffic assignment model: A two-level continuum transportation system approach , 2017 .

[21]  A. Gandini,et al.  Sharing what? The ‘sharing economy’ in the sociological debate , 2018 .

[22]  N. Pidgeon,et al.  Is sharing the solution? Exploring public acceptability of the sharing economy , 2018, Journal of Cleaner Production.

[23]  Christoph F. Breidbach,et al.  Engagement platforms in the sharing economy: Conceptual foundations and research directions , 2017 .

[24]  K. Frenken,et al.  Putting the sharing economy into perspective , 2017, A Research Agenda for Sustainable Consumption Governance.

[25]  D. Pargman,et al.  The sharing economy as the commons of the 21st century , 2017 .

[26]  Jesse Rothstein,et al.  Teacher Quality Policy When Supply Matters , 2012 .

[27]  M. Rizki,et al.  Exploring the Role of Online ‘Ojek’ In Public Transport Trips: Case of Jakarta Metropolitan Area Rail Users , 2018 .

[28]  Vasilis Kostakis,et al.  Blockchain and Value Systems in the Sharing Economy: The Illustrative Case of Backfeed , 2017 .

[29]  F. Creutzig,et al.  On-demand motorcycle taxis improve mobility, not sustainability , 2019, Case Studies on Transport Policy.

[30]  Chotib,et al.  Impact of Online Taxi Bikes Presence on Margonda Street, Depok , 2020, IOP Conference Series: Earth and Environmental Science.

[31]  Jian Li,et al.  A Reflection on the Taxi Reform in China: Innovation vs. Tradition , 2019, Comput. Law Secur. Rev..