132,855 research outputs found
Social Media and Hotel E-Marketing in Iran: The Case of Parsian International Hotels
With a quantitative study, this research has aimed to investigate the role of social media in Iranian hotelsâ electronic marketing. A questionnaire technique was used on a sample of 140 marketers who work in the Parsian International Hotelsâ marketing department. For data evaluation an SPSS program was used. Kolmogorov-Smirnov, Cochran, Regression, Non-standardized coefficients and Standard coefficient tests were carried out. Based on the findings, we can state that social media are still not an important marketing tool for Iranian hotels. Facebook and YouTube are the media which are most used for marketing purposes as videos and photos can be used on these sites more than others. The results show that the marketing abilities of Parsian Hotels improve with the increasing use of social media, but the hotel marketing sector has failed to fully utilize internet opportunity as a marketing tool
Intelligent customer relationship management (ICRM) by EFLOW portal
Customer relationship management (CRM) has become a strategic initiative aimed at getting, growing, and retaining the right customers. A great amount of numeric data and even more soft information are available about customers. The strategy of building and maintaining customer relations can be described with 'if⊠then' rules acquired from experts. Doctus Knowledge-Based System provides a new and simplified approach in the field of knowledge management. It is able to cope with tacit and implicit rules at the same time, so decision makers can clearly see the satisfactory solution (then and there). It reasons both deductive and inductive, so it enables the user to check on the model graph why is the chosen solution in the given situation most appropriate. It is upgradeable with in telligent portal, which presents the personalized (body-tailored) information for decision makers. When we need some hard data from a database or a data warehouse, we have automatic connection between case input interface and the database. Doctus recognizes the relations between the data, it selects them and provides only the needed rules to the decision maker. Intelligent portal puts our experience on the web, so our knowledge base is constantly improving with new 'if⊠then' rules. We support decision mak ing with two interfaces. On the Developer Interface the attributes, the values and the 'if⊠then' rules can be modified. The intelligent portal is used as a managerial decision support tool. This interface can be used without seeing the knowledge base, we only see the personalized soft information. ICRM (intelligent Customer Relationship Management) helps customer to get the requested information quickly. It is also capable of customizing the questionnaires, so the customer doesn't have to answer irrelevant questions and the decision maker doesn't have to read endless reports
Improving customer satisfaction: changes as a result of Customer Value Discovery
Objective: To identify Gold Standard Services for customers in an academic library and determine whether interventions following the identification of customer value increased student satisfaction. Methods: âCustomer Discovery Workshopsâ were undertaken with academic staff and undergraduate onâcampus students to provide managers and library staff with information on the services and resources that customers valued, and what irritated them about existing services and resources. The impact of interventions was assessed two years after the research using a university student satisfaction survey and an independent national student satisfaction survey. Results: The findings resulted in significant changes to the way forwardâfacing customer services were delivered. A number of value adding services were introduced for the customer. Overall customer satisfaction was improved. Evidence Based Library and Information Practice 2008, 3:1 34 Conclusions: The Customer Value Discovery research has created a culture of innovation and continuous improvement. An operational plan was introduced to track activity and performance against the objectives identified in the customer value research. However, there is a constant need to innovate
Optical tomography: Image improvement using mixed projection of parallel and fan beam modes
Mixed parallel and fan beam projection is a technique used to increase the quality images. This research focuses on enhancing the image quality in optical tomography. Image quality can be deïŹned by measuring the Peak Signal to Noise Ratio (PSNR) and Normalized Mean Square Error (NMSE) parameters. The ïŹndings of this research prove that by combining parallel and fan beam projection, the image quality can be increased by more than 10%in terms of its PSNR value and more than 100% in terms of its NMSE value compared to a single parallel beam
A case study of predicting banking customers behaviour by using data mining
Data Mining (DM) is a technique that examines information stored in large database or data warehouse and find the patterns or trends in the data that are not yet known or suspected. DM techniques have been applied to a variety of different domains including Customer Relationship Management CRM). In this research, a new Customer Knowledge Management (CKM) framework based on data mining is proposed. The proposed data mining framework in this study manages relationships between banking organizations and their customers. Two typical data mining techniques - Neural Network and Association Rules - are applied to predict the behavior of customers and to increase the decision-making processes for recalling valued customers in banking industries. The experiments on the real world dataset are conducted and the different metrics are used to evaluate the performances of the two data mining models. The results indicate that the Neural Network model achieves better accuracy but takes longer time to train the model
Employer Involvement in Office of Disability Employment (ODEP) Demonstration Programs
[Excerpt] As part of the independent evaluation of ODEPâs demonstration program being conducted by Westat, the Office of Disability Employment Policy (ODEP) asked Westat to provide in-depth analysis of three issues that were identified at site visits and in Quarterly Reports during Phase II of the evaluation. This report provides in-depth analysis on the first issueâemployer involvement in adult demonstration programs
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