Purpose: India is trying to move from cash-dominant economy to cashless economy using digital technologies namely mobile wallets and digital money. A large number of companies have launched their mobile wallet services and people have also rapidly adopted of mobile wallets. However, there is lot of user switching among mobile wallets of different service providers. In such a scenario, it becomes imperative for the mobile wallet service providers to understand the quality factors that support continuous intention of use of mobile wallets by the customers. Very few researchers have focused on the quality aspects as antecedents of the mobile wallets usage like information quality, system quality and service quality. This research study aims to fill this gap by analyzing a research model integrating the two concepts of technology acceptance and quality. Research Methodology: Data were collected from mobile wallet users in India. Structural Equation modelling was used to analyze the data. Findings: The study found that information quality of the mobile wallets significantly impacts perceived usefulness however a significant impact of system quality and service quality on perceived usefulness was not found. The study found that system quality and service quality of the mobile wallets significantly impacts perceived security. Perceived usefulness and perceived security were found to have significant impact on continuous intention to use among the mobile wallet users. Originality: This study will provide insights to the technology developers, managers and mobile payment service providers to focus on the quality aspects of the technology along with the value proposition. This is one of the few research studies to study the quality aspects of the mobile wallets as a technology.
Purpose of the Study: The research objective is to explore the important characteristics of MOOCs that impact an individual user's satisfaction and his/her performance. There is a paucity of understanding if the MOOCs affect the individual performance and what are the various characteristics of MOOCs that determine the same. Therefore, it is important to understand the success of MOOC platform from the user's performance perspective. Data/Methodology: Structural equation modelling was used to analyze the data. The instrument or the questionnaire for the study was developed by adapting scales from previous researchers to the Indian context. After the development of the questionnaire, the same was administered to the respondents using systematic sample design. Findings: The study found that Information Quality, System Quality and Openness impacts the satisfaction of the user on MOOC platform and further enhances his/her performance. The results of the study provide important insights to the MOOC platforms in identifying the Indian user's perspective. The MOOC platforms need to focus on System, Information Quality and Openness to make their course attractive from Indian user's perspective. Originality: There is a paucity of understanding if the MOOCs affect the individual performance and what are the various characteristics of MOOCs that determine the same. It is one of few studies to investigate the quality aspects of the MOOCs from an Indian user's perspective.
Asynchronous Transfer Mode (ATM) is widely used in telecommunications systems to send data, video and voice at a very high speed. In ATM network the Quality of Service( QoS) is an important consideration. This paper deals with dynamic routing algorithm for homogeneous ATM networks. In this work Genetic Algorithm(GA) is used to find out best possible Virtual Path(VP) keeping in mind the QoS. We propose a new initialization technique for solving the dynamic routing problem with GA which improves the efficiency of GA and optimizes the bandwidth. The optimized bandwidth could mean that some attractive business applications such as high speed LAN interconnection, teleconferencing, would become feasible or more available to business users. We have also performed a comparative study of the selection mechanisms and listed the best selection mechanism.
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