Customized knowledge management success factors for Iranian organizations

Most of large companies have allocated plenty of resources to knowledge management because they believe Knowledge and its management is a foundation for creating competitive advantages in organizations. However, implementing knowledge management projects in an organization requires essential organizational changes.In this paper, success factors of knowledge management are extracted from literature review on papers represented between 1997 and 2009.Then the factors are categorized and effective factors in each group are determined.Results are finalized by a panel of experts in Iran and effective and critical success factors of knowledge management are determined for Iranian organizations.Final results show that from 12 effective success factors of knowledge management, four one’s including knowledge strategy, management support, motivational encouragements and strong technical infrastructure are critical ones. It is obvious that continuous attention of management to these factors and appropriate investment are vital for the success of knowledge management in organizations

A New Model for the Calculation of Customer Life-time Value in Iranian Telecommunication Companies

In this paper, we proposed a new model to evaluate a customer's lifetime value, considering non-financial elements such as the customer’s churn probability, cooperation capability, willingness to refer, willingness to recommend, and innovation. We tested our proposed model on customer data from a mobile phone operator to evaluate the effect of each element on the customer's lifetime value. Four hundred and twenty questionnaires were distributed and 400 questionnaires were determined to be suitable for our study. We employed structural equation modeling using Smart-PLS software and we have found that the innovation, customer’s churn, willingness to refer, and cooperation elements have the strongest effect on the customer's lifetime value

Studying a model for E-banking adoption by considering customer trust

vv T   The fast development of the Internet in the banking sector encourages customers to use electronic banking. This study presents the key findings which is the result of studying the experiences of Iranian users in the field of electronic banking. The aim of this study is to identify factors encouraging users to receive e-banking adoption. The structure of this study was developed based on the Technology Acceptance Model & utilizes other important variables such as trust, security, prior experience, knowledge of service and quality of Internet access. This model experimentally studies the affecting factors on behavior of 180 users in e-banking adoption. In the study, structural equation modeling was used to analyze the data and hypothesis test. The findings show that the quality of internet connection and awareness of e-banking services have significant effects on perceived usefulness and perceived ease of use on electronic banking adoption. Trust also has a significant impact on attitudes towards e-banking adoptio

Wiki as a ckm tool in websites

The present research is conducted to show that organizations can use wiki to attract customers' purchase intention inside the e-commerce context. Considering the relation between wiki and ecommerce for CRM, this research tries to explore the characteristics such as perceived risk, customer experience, knowledge sharing culture, trust and knowledge sharing in wiki tool impact on purchase intentions in the web site. By using multidimensional analysis, this study shows that choosing a suitable tool for hosting in the websites in order to gather essential knowledge from customers plays an important role in explaining certain customer online behavior. In particular, the researchers propose a model that explains wikis require a culture of collaboration and sharing in an online environment to achieve a win-win situation between customers and producers

A fuzzy hybrid group decision support system approach for the supplier evaluation process

The quality and delivery performance of a typical company depends largely on the capability of its suppliers. It is therefore important for a company to evaluate the performance of its existing suppliers. However, the problem of supplier evaluation is rather complex when a group of decision makers responsible for these suppliers are geographically dispersed. Evaluating decisions requiring the elicitation of vague and imprecise linguistic information expressed in fuzzy terms. For this purpose, a hybrid fuzzy group decision-making approach for supplier evaluation is proposed, integrating the fuzzy analytic hierarchy process (F-AHP) and the fuzzy preference-ranking-organization-method-for-enrichment-of-evaluation (PROMETHEE) group decision support system (F-PROMETHEE GDSS) method. F-AHP is used to determine the weight of multiple criteria while F-PROMETHEE GDSS is applied for the final ranking of suppliers from a group decision viewpoint. The approach advances the supplier evaluation context in two aspects. First, it treats each decision maker uniquely in terms of the preference function and threshold levels. Second, it provides rapid communication between teams through video conferencing. The hybrid approach is used to evaluate the suppliers of a dairy company

Small-Signal Approach for Precise Evaluation of Gate Losses in Soft-Switched Wide-Band-Gap Transistors

High-frequency switching is favorable for fast transient response, small size of passive components and superior power density, especially in soft-switching topologies. At high frequencies, power dissipation due to consecutive charging/discharging of gate capacitance is considerably large. As presented in this work, the actual gate charge of a transistor can be very different from the typical values reported in manufacturer datasheet, which leads to errors in estimation and modeling of gate loss based on datasheets. Furthermore, the reported QG values in datasheets correspond to a hard-switching test condition, and are not a good representative of the losses in soft-switched transistors. Here, we propose a simple method to precisely evaluate gate loss in soft-switched transistors for high-frequency applications. A small-signal input-capacitance measurement is used to derive gate loss in two commercial Gallium-Nitride (GaN) transistors. The estimated losses are then verified by results from accurate thermal modeling based on a matrix of temperatures, when the transistors are driven up to 30 MHz. The results are of great significance to the modeling and accurate measurement of gate losses at high frequencies. It is instrumental to a proper cooling design to avoid device and gate driver thermal runaway and failure. Also, the more accurate gate capacitance measurement enables an accurate dead time adjustment to achieve synchronized turn ON between various transistors in soft-switching topologies