Tools for Measuring Factors Influencing Users Continuance Intention towards Community-Based Traffic and Navigation App in Indonesia

Indonesia is the fourth country with the largest population in the world within over 256 million people living across the region. The population growth rate of 3 million per year in Indonesia has been successfully making Indonesia become an overpopulated country, which also followed by its positive and negative effects to consider. For the negative side, mobility problem is one of the concerning matter. One of the simple examples of mobility problem is traffic congestion. Nowadays, six cities in Indonesia has included into the list of The 100 Most Congested Cities in the World. The internet penetration in Indonesia is growing rapidly day by day and the internet users is dominated by Smartphone/Personal Tablet users, which is more than 44 % of total users. It directly affects the growth of application downloads. To solve the traffic congestion, people are trying to use traffic and navigation applications, hence the rate of downloading traffic and navigation applications increases. One of the most popular navigation application in Indonesia is Waze. Waze is the biggest community-based traffic and navigation application and is in the 2nd position as the most downloaded navigation application in Indonesia. In 2014, Indonesian Waze users has become the top 10 biggest Waze users in the World also in 2017, Jakarta holds the title as the 2nd biggest Waze users in ASEAN. The growth of Waze in Indonesia is quite significant form year to year, it reached over 750.000 active users in 2013, and in 2015 the number had increased consistently until it reached over 1.5 Million active users and now Waze in 2018 has reached over 4 million active users who use the application at least twice a day. By the successful growth of Waze in Indonesia, it is necessary to analyze factors influencing the continuance intention of Waze users in adoptiong Waze application. This study is intended to test the measurement tool using the Modified Unified Theory of Acceptance and Use of Technology 2 Model from Venkatesh et. al. , (2012). The modification was done by adding Content variable. In testing the measurement of this study, data from 30 respondents are used and analysed by using SPSS software. The result revealed that the measurement model consisted of 9 variables and 43 items have fulfilled the validity and reliability requirements. Therefore, this measurement can be used for the further study.