Does Demographics Matter in Measuring Customer Satisfaction: Hypothetical Evidence from Indian Telecom Sector

Virtually all the sectors of economy such as finance, banking, hospitality and other businesses have grown up substantially in the past few years due to the growth of mobile service sector. From the inception of Reliance Jio in Madhya Pradesh, It has occupied a large number of customers in terms of no. of subscribers. This creates unrest among the telecom service operators operating in Madhya Pradesh. As the market moves forward, customer satisfaction becomes imperative for service firms to remain combative at marketplace. To study customer satisfaction, it is mandatory to study socio demographics of customers. Hence efforts have been made in this research paper to study the satisfaction level of customers from several demographic variables. This is a hypothetical research study in which primary data is collected from 500 active mobile users of Bhopal (MP), India. One way ANOVA and T-test were used to analyze the data through SPSS 21.0 software. Specific variables of American customer satisfaction index (ACSI) and European customer satisfaction index (ECSI) were being studied with different socio demographic variable of customers to move ahead in present research study. Significant difference was found in level of customer satisfaction with the age group and type of connection in telecom sector.

Conceptualization of factors affecting customer satisfaction on online food delivery among young executives in Sri Lanka

As a new food delivery system has emerged to capture a larger share of the industry's sales, the online food delivery sector has risen. This new business delivery system has gained widespread acceptance, particularly among young, active, and hardworking individuals. Furthermore, this business has become more competitive due to the increasing number of new business entries and the expectations of users as a result of the anxiety associated with online ordering and the convenience of ordering at any time. In order to succeed in this emerging market, Customers require online service providers to understand the true nature and requirements of their customers and all essential points of the online service industry. This study aims to gather the information that will assist online food service providers to understand the requirements and characteristics of this new service delivery system, which is currently under development. The purpose of this study is to examine the relationships between customers' perceived service quality for online food delivery and its effect on customer satisfaction by adopting a questionnaire from the Mobile Service Quality Study (M-S-QUAL).

Exploring perceived innovation in building customers’ patronizing behavior in the food delivery service context

Purpose In the food delivery industry, mobile applications have become an important platform for providing services and interacting with customers. Thus, this study aims to examine whether customers’ perceived innovation changes their patronizing behavior intention toward the brand’s application. Design/methodology/approach Using data from food delivery customers in the USA, this study identifies the relative impact of multidimensional innovation (i.e. service concept innovation, service process innovation and customer experience innovation) on customers’ behavior. Partial least squares-structural equation modeling is used to test the hypotheses. Findings Results show that customers’ perceived service process and experience innovation increase commitment, which turns into reuse intention of the delivery application. Commitment also increases the impact of customers’ perceived innovation on loyalty. However, in this study, service concept innovation is insufficient to solely create positive behavioral intention. Practical implications Findings suggest that a food delivery application that continues to innovate to improve the service process and experience can be an effective marketing tool because they increase bonding with customers. This study recommends that food delivery companies manage their relationship with customers to achieve sustainable growth. Originality/value Despite the growing attention in the mobile service industry, limited studies have examined the effects of innovations of food delivery application on customers’ behavior. Thus, this study provides useful guidelines that advance mobile commerce research, especially in the food delivery industry.

The impact of hedonic and utilitarian dimension in mobile service banking quality towards relationship quality

<p>Service quality is vital for retail banking institutions nowadays to have a competitive advantage against their competitors. One of the ways was developing a mobile banking application. By relying on the mobile banking application, the banking institutions would serve their existing customers better and attract new potential customers. The purpose of this research was to investigate the effect of mobile banking service quality empirically in terms of the utilitarian and hedonic dimensions on the relationship quality variables, namely commitment, trust, and satisfaction. The research focused on 220 respondents from university students in Indonesia who are at least 17 years old and using a mobile banking application on their smartphones. The method for collecting data is based on convenience sampling. The Structural Modelling Equation was also used to analyze the data result. The findings show that trust significantly and positively influences commitment/satisfaction. Furthermore, the dimensions of mobile 'banking. Service quality (Security/ Privacy, Practicality, Design/Aesthetics, and Enjoyment) has a low-moderate effect on relationship qualitative variables (Trust, Satisfaction, and Commitment). The dimensions of mobile banking service quality positively influence the relationship quality, except PPracticalitydoes not affect Commitment, Design/Aesthetics does not influence trust, and enjoyment does not influence commitment.</p>

News or social media? Socio-economic divide of mobile service consumption

Reliable and timely information on socio-economic status and divides is critical to social and economic research and policing. Novel data sources from mobile communication platforms have enabled new cost-effective approaches and models to investigate social disparity, but their lack of interpretability, accuracy or scale has limited their relevance to date. We investigate the divide in digital mobile service usage with a large dataset of 3.7 billion time-stamped and geo-referenced mobile traffic records in a major European country, and find profound geographical unevenness in mobile service usage—especially on news, e-mail, social media consumption and audio/video streaming. We relate such diversity with income, educational attainment and inequality, and reveal how low-income or low-education areas are more likely to engage in video streaming or social media and less in news consumption, information searching, e-mail or audio streaming. The digital usage gap is so large that we can accurately infer the socio-economic status of a small area or even its Gini coefficient only from aggregated data traffic. Our results make the case for an inexpensive, privacy-preserving, real-time and scalable way to understand the digital usage divide and, in turn, poverty, unemployment or economic growth in our societies through mobile phone data.

User Behavioral Intentions toward a Scooter-Sharing Service: An Empirical Study

This paper proposes an innovative shared scooter service whereby scooter owners can authorize the rental of their scooters to others through a mobile service platform. It constitutes a public short-distance mobility service for travelers and increases the efficient utilization of each private scooter. The study examines the adoption of scooter-sharing services by travelers and adapts the unified theory of acceptance and use of technology, attitude, and user experience (UX) to investigate the factors that may influence traveler acceptance of scooter-sharing services. The data were collected from Taiwanese travelers who used the shared scooters provided in this study and completed pre- and post-use subjective ratings of the scooter-sharing service (n = 99), analyzed using a hierarchical multiple regression analysis. The results indicate that the model constructs of habit, social influence, and environmental protections may positively affect users’ behavioral intentions toward shared scooters, while performance expectancy and effort expectancy may negatively affect intention to use. Attitudes and UX had no direct effect on intention to use. In light of the findings, recommendations for improving the design of scooter-sharing services, implications for service providers, and a reference basis for the development of future shared micro-mobility services are provided.