Thesis (M.Com. (Information Systems))--University of the Witwatersrand, Faculty of Commerce, Law and Management, School of Economic and Business Sciences, 2013. / This research study investigated the key factors that facilitate the adoption of technology by salespeople by building on previous studies in literature that have investigated Customer Relationship Management (CRM) acceptance. The research model was adapted by introducing a new construct, System Characteristics, along with Organisational, Social and Individual Factors to explain Sales Force Automation (SFA) tool acceptance, through the mediating influences of Perceived Usefulness (PU) and Perceived Ease-of-Use (PEOU). The results from 337 end-users of the Siebel CRM system in Bank A, in South Africa, found that in addition to PU and PEOU, Personal Innovativeness and Team Leader Support are significant independent drivers of User Acceptance of SFA tools. The model had an R2 of 0.480, which showed that a considerable portion of the variance could be explained through these factors. The research contributes to the current body of research by confirming the importance of personal innovativeness and team leader support towards system acceptance. The number of years the user has been working on the system was also shown to have a significant positive influence on acceptance. Practitioners, concerned with the acceptance of SFA tools, will find that organisational and social factors can significantly influence how users perceive a system to be easy-to-use and useful. The fact that these factors are all relatively easily implementable will be welcomed by IT practitioners facing similar challenges with their sales force. Technical characteristics of the system were found to be a construct that is recommended for future research, based on the findings from this study. Identifying specific aspects of the interface that change users’ perceptions about the software’s ease-of-use can be done by possibly Technology Acceptance Model (TAM) with the e-S-QUAL model in future studies.

Abstract How the securities broker company faces the globalization financial situation changing and holding law of the finance of Taiwan one to implement , make the large-scale securities broker company fall into the predicament of managing , the securities broker company is looking for keeping the close relation method with the customer even more Large-scale securities broker company introduces Customer Relationship Management, expect to let Securities Salesmen make use of the scientific and technological tool of information with the intact systematic construction, serve more customers .The securities broker company makes the customer more satisfied, have more competitive power¡C The security market has already transferred to by way of customer's management on foundation, the securities broker company pays close attention to only really understand customer's demand, maintain good customer's relation, and make the best of the information system management tool, Can Find the business opportunity in Security market of saturation competition. This thesis takes securities Broker Company as an example, while channeling into Sales Force Automation system of Customer Relationship Management, to The Influence on Behavior of Securities Salesmen dependence and degree of securities Broker Company are studied There are the following three items in the research conclusion received in this research ¡G 1.Scientific and technological ability of information, to Professional that is channeled into Sales Force Automation system Behavior of the stock broker has apparent influence. 2.The cognitive degree in customer's relation Management is channeled into behavior of Sales Force Automation system the stock broker has Apparent influence 3.Different personal backgrounds are in Scientific and technological ability of information, Knowledge of customer's relation management, Professional behavior of the stock broker has apparent influence.

The diploma thesis focuses on implementation of a software solution for customer relationship management with respect to a telecommunications service provider. The whole analysis of a project implementation describes introduction of a segment called Sales Force Automation (SFA). The objective of the work is to describe all important steps during the execution of the SFA project implementation, to compare the steps to theoretical recommendations, to assess applicability of procedures with regard to users' experience and reactions during the execution and after the completion of the project and to subsequently determine recommendations for similar projects. The work is structured into a theoretical and practical part. The objective of the theoretical part is to explain the concept of CRM -- Customer Relationship Management, to introduce the recommended project plan of the CRM implementation and to present a selected product, which is Siebel CRM from Oracle. The practical part describes an already finished project implemented by a telecommunications service provider, compares the appropriate procedure to a theoretical recommendation and registers differences. Based on implications and user's reactions there were suitable and unsuitable steps determined and also procedures recommended for an easier transition to a new CRM system with regard to similar projects.

The diploma thesis deals with three aspects of operational part of CRM -- sales force automation, telephone sales (contact centers) and e-business. The thesis studies the influence of these three aspects on the firm's productivity. The diploma thesis links to the company Plzensky Prazdroj a.s., which provided the data. Practical contribution of the thesis is an evaluation of current business model of Plzensky Prazdroj and a proposal of a new e-business strategy for this company.

客戶關係管理（Customer Relationship Management, CRM）藉由各種資訊技術來留住客戶，以產生更多的商業價值。然而，許多文獻指出，CRM系統的失敗率很高，尤其是CRM主要的核心能力--銷售員自動化（Sales Force Automation, SFA）。研究指出改善的方式包含更好的管理支援、培訓、系統易用性和強烈的使用動機等等。接續此建議，本文提出了一個銷售員支援（Sales Force Support, SFS）系統，藉由線上分析處理（Online Analytical Processing, OLAP）、資料採礦（Data Mining, DM）和雲端服務（Cloud Service）等技術，協助彙整及提供支援銷售員的客戶推薦 (Customer Recommendation)和自我績效評估(Self Evaluation)功能，以刺激更好的銷售能力、滿足客戶與管理。可望提高系統的易用性和業務人員的使用動機，藉以橋接銷售員和管理人員之間的差異。為了評估推薦功能之適用性，本論文也發展一套驗證指標，並採用一套隨機數學模型（Stochastic Mathematical Model），作為強化推薦預測之嘗試。 / Customer Relationship Management (CRM) adopts various information technologies to retain and attain customers in order to generate more business values. However, the earlier studies indicate the failure rate for CRM systems is high and it’s even higher for Sales Force Automation (SFA), a major core in CRM. They usually suggest the enhancement in better management support, more training, user friendliness, and usage motivation, and so on. Following the suggestions, this research proposes a Sales Force Support (SFS) system to integrate technologies like OLAP (Online Analytical Processing), Data Mining (DM), and cloud service, etc. to provide supporting information in customer recommendation and self-evaluation, in order to better stimulate sales and satisfy customer and management. The objectives can be achieved by enhancing the user friendliness and usage motivation, and bridging the differences between sales force and management. To evaluate the fitness of recommendation function, a set of validation measures is also developed. In addition, a stochastic mathematical model is also attempted to enhance the recommendation prediction.