Developing and Evaluating a Conceptual Model of the Components Affecting the Quality of Customer Relationships in Electronic Businesses
E-business allows organizations to reach more consumers in a much wider economic market. This capability in the information age has caused it to be used as a development solution in business and as an alternative of interest for new businesses. However, the influence of many components and the increasing change in information technology have caused its successful application as a challenge for the organization. One of these challenges is the cost of simultaneously paying attention to all aspects of success in electronic business and the short-term effect of those components. Therefore, identifying all the components affecting the success of e-business and prioritizing them can be effective in advancing organizational goals. The present study uses a conceptual model of the components affecting customer relationships in e-business, using a systematic literature review and qualitative content analysis. The proposed model consists of five dimensions: ‘use of social media’, ‘customization’, ‘applicability of social media’, ‘customer interaction approach’, and ‘website quality’. These structures consist of 16 components and 38 sub-components. The proposed model has been investigated and statistically analyzed through a survey by e-business experts. The results show that ‘advertisements’ in instant messengers are of considerable importance in establishing effective communication with customers and attracting new customers (95% confidence). According to experts’ opinions, it is worth mentioning that some components such as ‘ease of ordering’ and ‘security of payment’ have lower importance, and this can be the result of turning these components into mandatory business features.
-
Development and evaluation of two-sided customer and business-oriented Ontology in the field of customer engagement in social networks
*, Fatemeh Amini
Journal of Information Processing and Management, -
Upgrading the Human Development Index (HDI) to control pandemic mortality rates: A data mining approach to COVID-19
S. Sareminia *
Journal of Artificial Intelligence and Data Mining, Summer 2022