Abstract:This study identifies the impact of Internet banking service delivery system (IBSDS) process on consumer behaviour; the mediating effect of customer satisfaction on the relationship between IBSDS process and behavioural intention; and the moderating effect of the customer's perceived value. The study uses a quantitative method using the data collected from 416 respondents. Mediated regression is used to examine the mediating effect of customer satisfaction. SPSS Process v2.16.3 is employed to analyse the moder… Show more
“…Stress causes depression and the depressed persons keep themselves engaged in frequently using a technology to be relieved from the depression. This has been seen in other studies in smartphone usage where the users were addicted (Kumar et al, 2020). Some people exhibit avoidant attitude, and this feeling is associated with the sense of loneliness (Wei et al, 2005;Lee et al, 2019).…”
The excessive usage of online platforms is inviting several unwanted problems in the society. The excessive use of online platforms is adversely interfering in many social activities. This uncontrolled and excessive use of online platforms is causing addiction to the users. This is unexpectedly impeding the normal social flow of life culminating an adverse effect on the individuals’ quality of life. Studies reveal that age and gender have influence towards addiction. In this background, the purpose of this study is to identify the factors impacting addiction of online platforms. From studies of several addiction theories, some hypotheses have been formulated and a conceptual model has been developed. These have been validated by Partial Least Square – Structural Equation Modeling (PLS-SEM) analysis with the help of survey involving 320 usable respondents. The study highlights that loneliness, perceived enjoyment, depression, perceived ease of use and perceived usefulness act as vital predictors of addiction of online platforms that impacts quality of life. The moderating factors age and gender are found to have effective impacts on the influence of predictors on the addiction of online platforms. The article is ended mentioning the limitations of this study incorporating the scopes for the future researchers to nurture the untouched points.
“…Stress causes depression and the depressed persons keep themselves engaged in frequently using a technology to be relieved from the depression. This has been seen in other studies in smartphone usage where the users were addicted (Kumar et al, 2020). Some people exhibit avoidant attitude, and this feeling is associated with the sense of loneliness (Wei et al, 2005;Lee et al, 2019).…”
The excessive usage of online platforms is inviting several unwanted problems in the society. The excessive use of online platforms is adversely interfering in many social activities. This uncontrolled and excessive use of online platforms is causing addiction to the users. This is unexpectedly impeding the normal social flow of life culminating an adverse effect on the individuals’ quality of life. Studies reveal that age and gender have influence towards addiction. In this background, the purpose of this study is to identify the factors impacting addiction of online platforms. From studies of several addiction theories, some hypotheses have been formulated and a conceptual model has been developed. These have been validated by Partial Least Square – Structural Equation Modeling (PLS-SEM) analysis with the help of survey involving 320 usable respondents. The study highlights that loneliness, perceived enjoyment, depression, perceived ease of use and perceived usefulness act as vital predictors of addiction of online platforms that impacts quality of life. The moderating factors age and gender are found to have effective impacts on the influence of predictors on the addiction of online platforms. The article is ended mentioning the limitations of this study incorporating the scopes for the future researchers to nurture the untouched points.
“…time, effort, money) (Bressolles et al , 2015; McDougall and Levesque, 2000). Perceived value has attracted interest in the literature because authors find it to be a key predictor of consumer satisfaction and loyalty (Bressolles et al , 2015; Chang and Wang, 2011; Kumar et al , 2020; McDougall and Levesque, 2000; Wang, 2014; Yang and Peterson, 2004). Also, perceived value may be used by users to “bundle” various aspects of the service relative to competitive offerings (McDougall and Levesque, 2000).…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…In any e-service context (e.g. e-commerce, e-government, e-banking), the best way to generate user satisfaction, and ultimately intention to adopt, is to deliver superior value originating from excellent service quality (Bressolles et al , 2015; Chang et al , 2009; Kumar et al , 2020; Papadomichelaki and Mentzas, 2012; Yang and Peterson, 2004). In the e-government context, government must design and deliver a value proposition that is appealing to the citizens.…”
PurposeE-government quality (e-GovQual) and e-government user value (e-GUV) are multidimensional concepts. While previous studies have identified apparent factors influencing e-government satisfaction (e-GovSat) and e-government adoption intention (e-GovAI), such as e-GovQual and e-GUV, but they have neglected to explain the influence of the dimensions of these two concepts. The purpose of this research is to study e-government service value chain (e-GSVC) one-GovQual dimensions, e-GUV dimensions, e-GovSat and e-GovAI.Design/methodology/approachThe study employs a quantitative method to test the hypotheses and validate the proposed model. Data are collected from 378 e-government users across different parts of India comprising of different demographic characteristics. The model is analyzed using structural equation modeling.FindingsThe findings highlight the impact of the dimensions of e-GovQual (efficiency, trust, reliability and citizen support) on the dimensions of e-GUV (functional, economic, social and emotional value) as e-GUV dimensions affect e-GovSat, which in turn influences e-GovAI. The results validate the e-GSVC and also stress the partial mediating role of the dimensions of e-GUV on the relationship between the dimensions of e-GovQual and e-GovSat.Research limitations/implicationsThe sample size of 378 may not be a proper representation of a country like India, which has huge diversity within its vast population.Practical implicationsThe study offers practitioners a clear picture and a useful guide to better understand the drivers of value, satisfaction and adoption in the case of e-government users.Originality/valueThis study is probably the first attempt toward demonstrating the process influencing e-GovSat via e-GUV dimensions originating from excellent e-GovQual dimensions to ultimately trigger e-GovAI.
“…Perceived coupon value was found one of the crucial variables in the context of internet banking (Kumar et al, 2020). Perceived coupon value has been identified as a crucial factor explaining coupon redemption intention (Pura, 2005;Liu et al, 2015;Clark et al, 2013).…”
The purpose of this study is to develop a reliable and valid scale for measuring digital coupon redemption. The scale development process began with the grounded theory approach for item generation. This was followed by the development of a conceptual framework, item generation, initial reliability analysis, exploratory factor analysis and confirmatory factor analysis (CFA) based on primary data collected from 609 participants. For validating the scale, the CFA was repeated using data from 411 unique participants. Results from two independent surveys supported the proposed scale in terms of construct, convergent and discriminant validity. Survey study resulted in a 45-item digital coupon redemption scale. It also covers digital aspects such as intention to search, attitude toward internet searching, perceived risk, perceived convenience and personal innovativeness which were not covered in earlier promotion scales. This scale would assist marketers to maximize digital coupon redemption during their promotion campaigns. This is the first attempt to provide a comprehensive scale to measure digital coupon redemption in the marketing literature.
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