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The purpose of this study is to investigate the passengers' perception of app or application-based ride-sharing service in Bangladesh. The research directly measures the passengers' perception of perceived quality and value for money of using app-based ride-sharing services in Bangladesh and how it impacts passengers' satisfaction. The study also measures the indirect relationship of perceived quality and value for money and passengers' loyalty through the mediating effects of passenger satisfaction in app-based ride-sharing services.

The authors used an online self-administered survey questionnaire to collect data from the respondents who have experienced app-based ride-sharing services in Bangladesh. In this study, 400 questionnaires were distributed to the respondents online (Google form) and received 281 useful responses that give a 70.25% response rate. The survey data were analyzed based on construct validity, convergent validity and structural equation modeling by using Smart PLS 3.

The research findings indicate that perceived quality and value for money positively and significantly influence passengers' satisfaction. The passengers' satisfaction has a direct and significant relationship with passenger loyalty. The research findings also indicate that perceived quality and value for money have an indirect relationship with passenger loyalty through the mediating effect of passenger loyalty in app-based ride-sharing services.

Both perceived quality and value for money have been the key drivers of passenger satisfaction and loyalty. Thus, the ride-sharing service providers should emphasize enhancing passenger value perception and quality service to reinforce passenger satisfaction and loyalty by increasing communication with the passengers about their apps. Besides, the service providers need to keep track of passengers' satisfaction levels and adopt necessary initiatives to ensure satisfied passengers toward loyalty.

Limited studies have investigated the impacts of perceived quality and value for money on passenger satisfaction and loyalty to app-based rideshare service. It is a suitable time as the research findings will help ride-sharing service providers enhance their quality performance to compete healthily. Simultaneously, passengers can enjoy improved, and value-added services due to increasing competition among the app-based service providers. Regulators can also emphasize passenger quality services and the importance of money as a proposition while formulating policy and regulations toward the management of ride-sharing companies.

The present study investigates the customers' behavioural intention to use voice-based artificial intelligence (AI) to find the appropriate hotels and resorts in an emerging nation. This study determines the influences of information quality, system quality, privacy, and novelty value on attitude and behavioural intention to use voice-based artificial intelligence to obtain the appropriate information and find the location of the hotels and resorts.

This study used a purposive sampling method for collecting data from the respondents, who are customers of the hotels and resorts in Bangladesh. A self-administered survey questionnaire was used to obtain responses from 378 respondents. After collecting the data, the reliability and validity of the constructs and hypotheses were tested via partial least squares structural equation modelling (PLS-SEM).

The findings of the study indicate that information quality, system quality, privacy and novelty value have a positive and significant impact on attitude and behavioural intention to use voice-based AI assistant services in an emerging nation. However, system quality does not significantly influence behavioural intention to use voice-based AI assistant but it has an indirect significant influence on behavioural intention through the mediation effect of attitude.

The study’s findings provide essential guidelines for practitioners to understand the impacts of information quality, system quality, privacy, and novelty value on attitude and behavioural intention to use voice-based artificial intelligence to find the appropriate hotels and resorts to meet customers' needs and expectations.

This study contributes to the existing literature on technology adoption by highlighting the interconnectedness of various factors influencing users' behavioural intentions. The study’s focus on an emerging nation provides a valuable theoretical contribution. It highlights that user perceptions and attitudes towards technology adoption may differ from those in developed nations due to unique contextual factors.