Babak Sohrabi Yurtchi; nikta Shadmehri; Amir Manian
Volume 18, Issue 1 , May 2014, , Pages 223-245
Abstract
In recent years, continuing growth in technology and strengthening competitiveness through the business environment have led websites to be a key instrument to communicate with stakeholders. Therefore, website effectiveness is considered as a vital factor to attract and retain customers. It is worthy ...
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In recent years, continuing growth in technology and strengthening competitiveness through the business environment have led websites to be a key instrument to communicate with stakeholders. Therefore, website effectiveness is considered as a vital factor to attract and retain customers. It is worthy to mention that despite of investing heavily in establishing websites by most of organizations, they do not attain their initial objectives, and the performance of websites is not satisfying. One of the critical reasons of such failures is the lack of proper website evaluation framework for practical use.
In this vein, many studies have been conducted to identify the critical factors influencing on the website performance or quality ranging from Internet marketing researches to information systems design and human–computer interactions. This study identifies the factors, which must be taken into account in evaluating a website, using content analysis of 130 relative articles published between 1995 to 2011. We used Shannon Entropy to prioritize the most cited factors and their measurements based on computing the entropy of information and frequencies of addressing them in these articles. Based on the obtained results, we proposed a conceptual framework including 6 major factors: information quality, visual appearance, usability, customer support, technical features, and vendor's specific quality and reputation.
Mandana Farzaneh; - -; - -; - -
Volume 16, Issue 3 , September 2012, , Pages 105-130
Abstract
The purpose of this research is to design a fuzzy inference system through the most significant influential factors and indicators on evaluation the success of ERP implementation. The intention has been to provide a comprehensive set of practical indicators in order to evaluate and improve the success ...
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The purpose of this research is to design a fuzzy inference system through the most significant influential factors and indicators on evaluation the success of ERP implementation. The intention has been to provide a comprehensive set of practical indicators in order to evaluate and improve the success of implementing enterprise resource planning (ERP) system based on deeply exploring the broad literature and to identify the most significance factors and indicators of ERP implmenetation. Through evaluating the identified indicators by domain experts, the most influential indicators have been used in designing the fuzzy inference system for evaluating the success of ERP implementation. Using this approach, the fuzzy system is designed so as to evaluate the success of implementing ERP system. The findings include the identification of the most influential indicators on the success of ERP system implementation as well as to design a fuzzy inference system to evaluate the success rate of enterprise resource planning system in organizations. Following the creation of the fuzzy inference system, organizations could measure their success in implementing enterprise resource planning system and thereby reduce their probability of failure in implementing ERP system.
- -; - -; - -
Volume 15, Issue 1 , February 2011, , Pages 224-239
Abstract
Financial Service Providers (FSPs) like other organizations can use Customer Lifetime Value (CLV) as an instrument to achieve their targets in Customer Relationship Management (CRM). Although various studies have been done about this concept, CLV case studies are scarce in banking industry. ...
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Financial Service Providers (FSPs) like other organizations can use Customer Lifetime Value (CLV) as an instrument to achieve their targets in Customer Relationship Management (CRM). Although various studies have been done about this concept, CLV case studies are scarce in banking industry. In this research, in order to present a model to determine CLV in banking industry, customers with current account in a bank in Iran were studied. Determining the relative importance of R, F and M variables that are used to cluster customers, ranking the clusters of customers according to their CLV and understanding the best strategies for bank to treat with each cluster are among the other goals of this study. Three main variables were used to apply the model; a) Recency: the length of time since the last transaction (in days), b) Frequency: number of positive transactions and c) Monetary: balance of account (in Rials). Also wR , wF and wM were used as the relative importance of R,F and M variables. We used the ideas of experts and marketing managers and the data of transactions from the random samples of 382 corporate customers and 5113 individual customers, who had current account in 33 branches of a bank in Tehran. The analytical Hierarchy Process (AHP) was applied to determine wR , wF and wM in evaluating CLV. Then WRFM model was used to cluster the customers and rank them based on their CLV for two groups of corporate and individual clients Clustering and Discriminant Analysis techniques were implemented for this section. Finally, the best strategies for bank to treat with each cluster of the customers was determined.
Keywords:
Babak Sohrabi; Babak Abedin
Volume 11, Issue 20 , December 2007, , Pages 115-140
Abstract
In recent decades, organizations have increasingly focused on developing ICTs and introducing new e-services to their customers, so they have largely invested in web development and promotional activities.Therefore, it is essential for them to evaluate their websites and identify how well they are structured.and ...
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In recent decades, organizations have increasingly focused on developing ICTs and introducing new e-services to their customers, so they have largely invested in web development and promotional activities.Therefore, it is essential for them to evaluate their websites and identify how well they are structured.and how web pages are organized. Evaluating web structure requires proper methods and measures.This paper intends to model a website as a graph and introduce new measures to evaluate website link structure.The model is based on the analysis of online behavior of the website's visitors. Thus, a real problem of the website of an Iranian university was described and, its structure was evaluated using this model between September-05 to November 2005.
Mohammad Reza Sadeghi Moghadam; Amir Afsar; Babak Sohrabi
Volume 10, Issue 20 , June 2006, , Pages 212-226
Abstract
Among flows in every supply chain (finance, information, and material), material flow according to its part in product cost is very important. Many studies in the field of material flow showed that material flows are often single level. This study offers a comprehensive model for appropriate order assignment ...
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Among flows in every supply chain (finance, information, and material), material flow according to its part in product cost is very important. Many studies in the field of material flow showed that material flows are often single level. This study offers a comprehensive model for appropriate order assignment in different levels of supply chain according to minimizing related cost to with genetic algorithm method. Results based on genetic algorithm is compared to other common pattern search methods such as Latin Hypercub and Mead-Nelder. The evidence shows that genetic algorithm method is the best method among other methods.
