Factors influencing the behavioral intention of public transport passengers

• Published in: The International journal of quality & reliability management 2015-08, Vol.32 (7), p.666-692
• Main Authors: Widianti, Tri, Sumaedi, Sik, Bakti, I Gede Mahatma Yuda, Rakhmawati, Tri, Astrini, Nidya Judhi, Yarmen, Medi
• Format: Article
• Language: English
• Subjects: Behavior; Brand loyalty; Construction; Energy consumption; Influence; Management; Management science & operations; Mathematical models; Passengers; Public transportation; Purchase intention; Quality control & reliability; Quality management/systems; Quality of service; Roads & highways; Samples; Statistical analysis; Statistical methods; Structural equation modeling; Theory; Traffic congestion; Variables; Vehicles
• ISSN: 0265-671X; 1758-6682
• DOI: 10.1108/IJQRM-01-2013-0002

Purpose – The purpose of this paper is to investigate the factors that influence the behavioral intention (BI) of paratransit passengers in three major cities in Indonesia, namely Bandung, Medan, and Surabaya. More specifically, this paper will examine the relationship between the BI and other factors, including satisfaction (SAT), perceived sacrifice (SAC), perceived value (PV), service quality (SQ), and frequency of usage. Design/methodology/approach – The empirical data were collected through a survey with 264 respondents. Structural equation modeling was employed to test the proposed hypotheses. Findings – SQ affects word-of-mouth (WOM) of paratransit passengers directly and indirectly through PV. However, SQ has no statistically significant direct effects on repurchase intention. SAC is proved to affect WOM and repurchase intention of paratransit passengers indirectly via PV. In addition, it is also found that SAT and frequency of usage have no statistically significant effect on WOM and repurchase intention of paratransit passengers. Research limitations/implications – The data collection using convenience sampling method as well as the use of small sample size caused the limitation of the research results in representing across all paratransit passengers in the three cities where the research was conducted in. This study can be replicated with larger sample size in order to examine the stability of the results in other contexts. Practical implications – The research results shows that sacrifice, SQ, and PV affect the BI of paratransit passengers. Thus, the management of paratransit service provider should consider and manage all of these factors proactively. Originality/value – The paper has established a BI model of public transport passengers that can help organizations to manage the formation of BI of their passengers. The model has some novelties, which are first, the model includes frequency of usage, second, it uses BI as a multidimensional construct, consisting of repurchase intention and WOM, rather than a single dimensional construct, and third, it also includes the direct relationship between SAC and BI (repurchase intention and WOM).