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Governmental jobs in India are the most desirable choice that demand effective and transparent public administration for better government–citizen relationships. This study integrates technology acceptance model and theory of planned behaviour as conceptual framework to explain the adoption of online job application system in Indian e-government context. Website’s ability provides accurate information to facilitate job application online and more specifically the degree of fit applicants perceive between online behaviour and traditional behaviour is notable in influencing acceptance of such systems. Data were collected personally from usable response of 443 respondents in Gujarat, India, using intercept survey. The data were analysed through structural equation modelling. Findings revealed that combined TPB–TAM model with website informativeness and compatibility provided an empirical confirmation in explaining online job application system.
Abhishek Parikh; Jayesh D. Patel; Anand Kumar Jaiswal. Managing job applications online: integrating website informativeness and compatibility in theory of planned behaviour and technology acceptance model. DECISION 2021, 48, 97 -113.
AMA StyleAbhishek Parikh, Jayesh D. Patel, Anand Kumar Jaiswal. Managing job applications online: integrating website informativeness and compatibility in theory of planned behaviour and technology acceptance model. DECISION. 2021; 48 (1):97-113.
Chicago/Turabian StyleAbhishek Parikh; Jayesh D. Patel; Anand Kumar Jaiswal. 2021. "Managing job applications online: integrating website informativeness and compatibility in theory of planned behaviour and technology acceptance model." DECISION 48, no. 1: 97-113.
Reverse innovation (RI) has emerged as a new growth strategy for MNCs to innovate in emerging markets and then to further exploit the profit potential of such innovations by subsequently introducing them not only in other similar markets but also in developed markets, thereby delivering MNCs a sustainable growth globally. In this study, we propose an overarching conceptual framework to describe factors that contribute to the feasibility of RIs. Using grounded theory with a triangulation approach, we define RI as a multidimensional construct, identify the antecedents of RI, discuss the outcomes, and propose a set of moderating variables contributing to the success of RIs. We also present a set of research propositions with their relative effects on the relationships proposed in the conceptual framework. Additionally, we provide future research directions and discuss theoretical contributions along with managerial implications to realize the strategic goals of RI.
Suresh Malodia; Shaphali Gupta; Anand Kumar Jaiswal. Reverse innovation: a conceptual framework. Journal of the Academy of Marketing Science 2019, 48, 1009 -1029.
AMA StyleSuresh Malodia, Shaphali Gupta, Anand Kumar Jaiswal. Reverse innovation: a conceptual framework. Journal of the Academy of Marketing Science. 2019; 48 (5):1009-1029.
Chicago/Turabian StyleSuresh Malodia; Shaphali Gupta; Anand Kumar Jaiswal. 2019. "Reverse innovation: a conceptual framework." Journal of the Academy of Marketing Science 48, no. 5: 1009-1029.
Trust is important for maintaining customer relationships in online retailing, as customers have only a virtual connection with sellers. This is especially true in online markets of emerging economies, given their lack of trust-enhancing infrastructure and well-functioning regulatory institutions. We investigate the effect of trust and a set of other relationship and transactional characteristics—mode of customer acquisition, length of relationship, service communication, product return activity, and type of products purchased—on retention in the context of emerging online markets. We obtain data from an online retailer in India that include both survey and transaction information. Using a latent attrition model, we find that trust positively affects customer retention behavior. We also find that relationship length, service communication, product return experience, and the type of products purchased affect retention. Furthermore, we conduct split-sample analysis and suggest some managerial actions on spending efforts to enhance retention.
Anand K. Jaiswal; Rakesh Niraj; Chang Hee Park; Manoj K. Agarwal. The effect of relationship and transactional characteristics on customer retention in emerging online markets. Journal of Business Research 2018, 92, 25 -35.
AMA StyleAnand K. Jaiswal, Rakesh Niraj, Chang Hee Park, Manoj K. Agarwal. The effect of relationship and transactional characteristics on customer retention in emerging online markets. Journal of Business Research. 2018; 92 ():25-35.
Chicago/Turabian StyleAnand K. Jaiswal; Rakesh Niraj; Chang Hee Park; Manoj K. Agarwal. 2018. "The effect of relationship and transactional characteristics on customer retention in emerging online markets." Journal of Business Research 92, no. : 25-35.
Purpose The purpose of this paper is to examine the superiority of comparative evaluation or relative attitudinal measurement approach in which the respondent evaluates one object with direct comparison with other objects. The study uses comparative and non-comparative approaches to examine the effects of service quality, value, and customer satisfaction on attitudinal loyalty in a service setting. Design/methodology/approach The study uses the data collected from the survey of 300 customers of two large Indian banks. Findings The results provide partial support to the superiority of the comparative evaluation over non-comparative evaluation. Additionally, results indicate that service quality positively affects customer value, and both service quality and customer value have a direct positive effect on customer satisfaction. Customer satisfaction drives attitudinal loyalty which in turn leads to customers’ willingness to pay more. Research limitations/implications In the study, two banks were used for comparative evaluation. Since consumers’ consideration set can consist of more than two alternatives, future studies can include more than two objects. Practical implications Non-comparative measurements do not always adequately explain customer loyalty and superior performance of firms. This could potentially lead to misinterpretations of effects of service quality improvement programs and thus sub-optimal management decisions. Managers should use comparative evaluation approach for measuring marketing variables wherever possible. Originality/value Although the use of comparative evaluation is suggested in the literature (Dick and Basu, 1994), extant research has not systematically examined its superiority over non-comparative evaluation. This study empirically tests the comparative evaluation approach against the non-comparative approach by examining a comprehensive model involving the interrelationships among service quality, value, customer satisfaction, and their impact on attitudinal loyalty and willingness to pay more.
Anand Kumar Jaiswal; Jos G.A.M. Lemmink. Investigating a comparative evaluation approach in explaining loyalty. Marketing Intelligence & Planning 2017, 35, 937 -954.
AMA StyleAnand Kumar Jaiswal, Jos G.A.M. Lemmink. Investigating a comparative evaluation approach in explaining loyalty. Marketing Intelligence & Planning. 2017; 35 (7):937-954.
Chicago/Turabian StyleAnand Kumar Jaiswal; Jos G.A.M. Lemmink. 2017. "Investigating a comparative evaluation approach in explaining loyalty." Marketing Intelligence & Planning 35, no. 7: 937-954.