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(searched for: doi:10.1016/s2212-5671(16)30014-4)
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Journal of Open Innovation: Technology, Market, and Complexity, Volume 7; https://doi.org/10.3390/joitmc7020109

Abstract:
Technological developments have digitized consumer behavior all over Indonesia. This has become the basis for the emergence of e-commerce, a digital business system that is widely used by the public in making purchases through apps or websites. For this reason, an e-commerce platform should create e-loyalty, to make it the best option among many stores. This is the first study investigating ten factors that contribute to e-Customer Relationship Management (e-CRM) value on e-loyalty in Indonesia. The study involved 767 active users of the number one e-commerce company in Indonesia. An empirical investigation was carried out, to validate the instrument items regarding the e-CRM factors and e-loyalty indicators, using Explanatory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). The analysis utilizes Structural Equation Modeling (SEM) to test the hypotheses. The finding suggested that the variables of customization, care, cultivation, choice, online community, convenience, site security, personalization values, rewards, and interactivity positively contribute to e-CRM value on e-loyalty.
Amir Hooshang Nazarpouri, Reza Sepahvand, Razieh Feli
International Journal of Innovation Management, Volume 24; https://doi.org/10.1142/s1363919620500760

Abstract:
The purpose of this study is to investigate the effect of organisational and technological readiness on organisational intelligence and the performance of customer relationship management through the knowledge management process. In terms of purpose, this study is an applied research which in respect to data collection is descriptive-causal and a quantitative research. The statistical population of the research was composed of senior managers of knowledge-based and technology-driven companies in Lorestan Province. The number of mentioned companies was 108, so the statistical society was considered to consist of 108 people (director generals). The sample size was estimated by using Cochran formula for specific societies as 85 persons, who were selected randomly. The data gathering tool was a questionnaire of which reliability and validity were confirmed by statistical tests. To analyze the data, descriptive and inferential statistics (normality test, correlation test and Structural Equation Modeling test) were used as well as SPSS and SMART partial least squares (PLS) software programs. The results of the structural equation modelling test showed that technological readiness and organisational readiness have a positive and significant effect on the variable of the knowledge management process, and through this variable, they also indirectly affect the organisational intelligence and the performance of customer relationship management. The knowledge management process has a positive effect on two variables of organisational intelligence and the performance of customer relationship management, and it also indirectly affects the performance of customer relationship management via organisational intelligence. Finally, the results showed that organisational intelligence has a positive and significant effect on the performance of customer relationship management.
Marieh Khorraminia, Zahra Lesani, Mahdi Ghasvari, Lila Rajabion, Mehdi Darbandi, Alireza Hassani
Digital Policy, Regulation and Governance; https://doi.org/10.1108/dprg-03-2019-0016

Abstract:
PurposeNowadays, communications, products, services and costs are customized through the internet technology. The main theory to continue competitiveness in the organizations is customer relationship management (CRM). CRM enables organizations to efficiently interact with customers and gather, store and examine their data for providing a complete view of them. On the other hand, the subject of cloud computing has increasingly become the bridge for the success of the CRM implementation. Therefore, this study aims to investigate the impact of cloud computing (new cloud facility, knowledge of information technology (IT), cloud security and cost) on the success of CRM systems.Design/methodology/approachThe model and the questioners-based data are analyzed using the Smart PLS 3.0. The data were gathered based on 80 employees of three main agricultural companies in Iran.FindingsThe obtained results have indicated that all of the considered factors, new cloud facilities, knowledge of IT, cloud security and cost, play an important role in CRM systems’ success. Also, the evaluation and examination of the consistency and validity of the model are performed through the structural equation model.Research limitations/implicationsFirst, the authors have conducted a study in a single region. It cannot be guaranteed that the results can be generalized to other regions. Second, for this cross-sectional study, the research design was conducted that showed constant relationships between variables. The research done for this study is cross-sectional. Third, because of time and financial restrictions, the authors have gathered data using a sample from a single location.Originality/valueProposing a new model for investigating of the impact of cloud computing (new cloud facility, knowledge of Information Technology (IT), cloud security and cost) on the success of CRM systems is the main originality of this paper.
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