Customers perceptions towards ride sharing service
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Quantitative research on online transportation in Indonesia, in which data were collected from 400 participants who use 'Gojek' and 'Grab' ride-hailing services. Applying variables of service quality, service benefit, price, corporate image and system quality, the results show that (compared to other four factors) price becomes the most dominant component that influences customer loyalty. Assegaff, Pranoto - Price Determines Customer Loyalty in Ride-Hailing Service...
Assegaff, Pranoto - Price Determines Customer Loyalty in Ride-Hailing Service...The London School of Public Relations, Jakarta
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Quantitative research on online transportation in Indonesia, in which data were collected from 400 participants who use 'Gojek' and 'Grab' ride-hailing services. Applying variables of service quality, service benefit, price, corporate image and system quality, the results show that (compared to other four factors) price becomes the most dominant component that influences customer loyalty. Assegaff, Pranoto - Price Determines Customer Loyalty in Ride-Hailing Service...
Assegaff, Pranoto - Price Determines Customer Loyalty in Ride-Hailing Service...The London School of Public Relations, Jakarta
Submitted Publication in the Transportation Research Record
November 23, 2015
ABSTRACT
A pilot program in Austin, Texas, tested the practicality of integrating a real-time ridesharing application with a toll operator to process toll discounts for carpools. The toll discounts appeared on monthly toll transaction statements. The program lasted for almost a year on the 183A Toll Road and the US 290 Manor Expressway. Travelers used a smartphone application to track, record, and submit their trips for discounts. Two-person carpools that used the application received a 50 percent discount, and carpools of three or more people could travel toll-free. The program was a partnership between the Central Texas Regional Mobility Authority, the local toll systems operator, and a private ridesharing vendor. Back-office processes matched trip data from the smartphone application to transactions recorded by the toll systems. A total of 95 unique drivers were provided toll rebates for 2,213 trips during the 10.5-month pilot period. Most trips during the pilot program were rebated for two-person carpools. Individual driver behavior varied considerably. A select few drivers had a high number of carpool trips, while others took a sporadic or infrequent trip. Drivers took a median of 7 trips during the pilot. Future rideshare programs should consider showing higher-dollar rebates that represent annual savings to incentivize behavior. Timely feedback was found to be an important factor for success. Additionally, program sponsors should provide positive customer service and engage users when problems exist that are not under their direct purview.
Integrating Automated Toll Discounts Into a Real-Time Ridesharing Program
Integrating Automated Toll Discounts Into a Real-Time Ridesharing ProgramTexas A&M Transportation Institute
This study’s goal is to find out how satisfied customers are with Bykea. The current study employed a quantitative approach to examine user satisfaction with Bykea e-bike services. Questionnaires were used to gather the information. This study also tries to identify the crucial elements—such as age, gender, and different payment methods—that influence how consumers behave toward Bykea e-bike services. According to the study’s findings, the majority of customers are happy with Bykea’s e-bike services, but there are some drawbacks, including price
increases and issues with the product’s design. If required, it will take a lot of work to keep Bykea’s e-bike customers. If the business can comprehend the customer’s desire and general perception, it can build a marketing plan. The results may thus be applied by marketers to create a marketing plan and increase the market share of Bykea bike services.A Study on Consumer Satisfaction Toward Bykea e-Bike Services
A Study on Consumer Satisfaction Toward Bykea e-Bike ServicesBOHR International Journal of Business Ethics and Corporate Governance
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Submitted Publication in the Transportation Research Record
November 23, 2015
ABSTRACT
A pilot program in Austin, Texas, tested the practicality of integrating a real-time ridesharing application with a toll operator to process toll discounts for carpools. The toll discounts appeared on monthly toll transaction statements. The program lasted for almost a year on the 183A Toll Road and the US 290 Manor Expressway. Travelers used a smartphone application to track, record, and submit their trips for discounts. Two-person carpools that used the application received a 50 percent discount, and carpools of three or more people could travel toll-free. The program was a partnership between the Central Texas Regional Mobility Authority, the local toll systems operator, and a private ridesharing vendor. Back-office processes matched trip data from the smartphone application to transactions recorded by the toll systems. A total of 95 unique drivers were provided toll rebates for 2,213 trips during the 10.5-month pilot period. Most trips during the pilot program were rebated for two-person carpools. Individual driver behavior varied considerably. A select few drivers had a high number of carpool trips, while others took a sporadic or infrequent trip. Drivers took a median of 7 trips during the pilot. Future rideshare programs should consider showing higher-dollar rebates that represent annual savings to incentivize behavior. Timely feedback was found to be an important factor for success. Additionally, program sponsors should provide positive customer service and engage users when problems exist that are not under their direct purview.
Integrating Automated Toll Discounts Into a Real-Time Ridesharing Program
Integrating Automated Toll Discounts Into a Real-Time Ridesharing ProgramTexas A&M Transportation Institute
This study’s goal is to find out how satisfied customers are with Bykea. The current study employed a quantitative approach to examine user satisfaction with Bykea e-bike services. Questionnaires were used to gather the information. This study also tries to identify the crucial elements—such as age, gender, and different payment methods—that influence how consumers behave toward Bykea e-bike services. According to the study’s findings, the majority of customers are happy with Bykea’s e-bike services, but there are some drawbacks, including price
increases and issues with the product’s design. If required, it will take a lot of work to keep Bykea’s e-bike customers. If the business can comprehend the customer’s desire and general perception, it can build a marketing plan. The results may thus be applied by marketers to create a marketing plan and increase the market share of Bykea bike services.A Study on Consumer Satisfaction Toward Bykea e-Bike Services
A Study on Consumer Satisfaction Toward Bykea e-Bike ServicesBOHR International Journal of Business Ethics and Corporate Governance
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Customers perceptions towards ride sharing service
- 2. Consumers perception Towards Ridesharing service
- 12. Hypothesis(alternative) H1- Convenience impacts on the perception towards ridesharing services. H2- Economic benefit impacts on the perception towards ridesharing services. H3- Reliability impacts on the perception towards ridesharing service. H4- Safety impacts on the perception towards ridesharing service.
- 16. Specific Market Research Problem(Research gap): To identify ways of protecting consumer’s privacy To identify the demographic and psychographic profile of the customers of ride sharing services and whether these customers differ from the traditional taxi customers To identify the relationship between choosing ride sharing service and waiting time To identify whether the cost of ride sourcing trips helps to evaluate the mode of choice To identify whether the entry of ridesharing companies affects taxi customers To identify the behavioral links between ridesharing, public transport and SOV( Self Owned Vehicle) travel To identify the motives for choosing ride sharing services To identify the benefits of ride sourcing services To identify the perception of consumers about the legal issues related to ride sharing service To identify whether preference and their behavior can be explained in terms of the customer characteristics and their perception