• Journal of Information Technology Applications and Management
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• v.11 no.3
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• pp.89-116
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• 2004

Insurance companies are in a fierce race to catch a new customer. In this situation. sales force automation technologies are often used to support customer relationship management strategies. This study sets out a research model predicting SFA(Sales Force Automation) usage through theoretical studies. Survey data were collected from 145 salespeople across 2 firms that had implemented sales force automation tools and hypotheses were tested empirically. Data were analyzed by path-analysis method of AMOS. The major findings of this study are as follows: Computer self-efficacy, user involvement and voluntariness have a statistically significant influence on the positive perceptions of SFA. These perceptions have a statistically significant influence on user satisfaction and usage of SFA. while user satisfaction has a statistically significant influence on SFA usage. This paper concludes with the discussion of these results and their implications for academic researchers and insurance company managers.

• Asia Marketing Journal
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• v.14 no.4
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• pp.143-165
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• 2013

Sales force automation (SFA) technologies are increasingly used to support customer relationship management (CRM) strategies. However, the popular press reports mixed results among companies incorporating SFA technologies and the previous studies have less interested in relationship quality between sales person and customer as an outcome of SFA. Actually the improved quality of the salesperson-customer relationship may be the most important outcome of SFA usage. This outcome is especially meaningful in today's marketplace given the increasing focus placed on customer retention and other customer related performance such as customer lifetime value. Therefore, this study seeks to further examine the impact of SFA usage within two different firms using SFA technologies to examine the impact of SFA usage on both customer relationship quality and sales performance. Additionally, the moderating roles of perceived managerial support and salesperson experience on the outcomes of SFA usage are examined. The results shows that direct effect of SFA usage on performance was not significant but highlight the mediating role of customer relationship quality in the SFA usage - sales performance relationship. Also, this research examines a number of moderating effects of both management supports for SFA and salesperson's sales work experience. The results indicate that management support has a significant direct influence on relationship quality and salesperson performance, but not a significant moderating effect on the relationship between SFA usage and the outcomes (relationship quality and performance). Thus moderating effects were not supported but find significant main effects. First of all, finding of this study suggest that a formula for successful SFA implementation must be one that highlights a SFA usage → relationship quality → sales performance sequence. This means when sales person use SFA they must build relationship with customer first then will return some long term performance. Second, the implications of not considering the introduction of big technology initiatives in terms of fit within the company's culture, strategy, structure, and environment may in many cases be quite noteworthy. Therefore, the launching of a new technology in the firm, such as SFA, may have a nonlinear impact upon overall firm performance, depending on the presence of other complimentary resources and capabilities. Finally the authors offer a number of implications for research and practice, and suggest directions for future SFA research that may further improve our understanding of this increasingly relevant topic.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.460-462
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• 2000

PC 보급 증대와 웹을 통한 네트워크의 발달은 많은 기업 비즈니스를 자동화시키고 있다. 본 논문에서는 SFA(Sales Force Automation)라는 기업 시스템 모델을 통해 기존 C/S 환경이 가졌던 여러 가지 단점들을 보완한 인터넷 환경의 컴포넌트화 된 새로운 SFA 시스템 구축 방법을 소개한다. 기존 C/S 환경은 Off-Line 방식의 업무처리, 각 지점의 PC 서버에 SFA 시스템의 인스톨로 인해 일부 프로그램상의 변경에도 모든 지점의 시스템을 유지 보수해야 하는 비효율.고비용의 시스템을 사용해왔다. 따라서 본 논문에서 제안하는 새로운 SFA 시스템은 EJB(Enterprise Java Beans)라는 표준 컴포넌트 구조를 이용해 SFA 시스템을 구축한 것으로써 전국에 있는 각 지점들이 인터넷을 통해 접근 가능한 메인 서버 중심의 SFA 시스템이다. 이로 인한 장점으로는 메인 서버의 SFA 시스템의 인스톨만으로 전국 각 지점의 터미널과 서비스가 가능하고 On-Line 상의 실시간 업무처리가 가능하다는 것이다.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.15-31
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• 2016

Sales Force Automation (SFA) is a strategic information system and one of the components of operational CRM system. SFA supports salespeople's activities such as selection of potential customers, creative value proposition, after-sales services, etc. SFA is increasingly used in many companies because it has the advantages to raise the salespeople's productivity by developing forecasting ability, value proposition ability, after sales service ability etc. Many researches have shown that implementation of SFA leads to the increase of salepeople performance, organizational performance, and quality of customer relationship. However, Some prior studies have discussed on the SFA implementation failure and pointed out that one of important causes of this failure is salespeople's resistance to SFA. Although many researches explain SFA acceptance phenomenon using Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB), these researches didn't deeply investigate the salespeople's resistance to SFA. Therefore, this study focuses on the factors influencing salespeople's resistance to SFA and the relationships among these factors. This study identified three factors (salespeople's perceived loss of power, perceived loss of autonomy, and perceived time and effort waste) influencing salespeople's resistance to SFA. The hypotheses testing results showed that salespeople's perceived loss of power and perceived time and effort waste significantly increased salespeople's resistance to SFA. And salespeople's perceived loss of power plays a mediating role between perceived loss of autonomy/perceived time and effort waste and salespeople's resistance to SFA. At the end of the paper, theoretical and managerial implications of this study and the limitations and future research directions are discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.182-190
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• 2018

Many pharmaceutical companies operate the SFA system to support salespeople. The SFA system is used for various behaviors of salespeople. However, there is a lack of empirical analysis on the performance of SFA in Korea. The purpose of this study is to investigate the utilization of SFA system and the non - financial performance of SFA system. The subjects of the survey were 347 pharmaceutical community members who consisted of pharmaceutical salespeople and surveyed online for 18 days from March 13, 2018 to April 30, 2018. and the effective response rate was 23.1% (80/347). The analysis shows that the higher the level of SFA system utilization, the higher the non - financial performance. By type of company, the utilization level of multinational companies was higher than that of domestic companies. Among the SFA utilization level items, 1.47 points (3.65, 2.18) were higher than the domestic companies in terms of the support service items. Among the SFA performance items, foreign companies were 1.47 points (3.16, 1.69) Respectively. This suggests that the SFA development and operation method of the domestic company focuses on the management service rather than the support service for the salesperson and the customer satisfaction. Through this study, it is considered that domestic companies should strengthen sales person support and customer satisfaction information providing function when operating SFA system.

• 한국IT서비스학회:학술대회논문집
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• 2008.05a
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• pp.409-415
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• 2008

본 연구는 판매원 개인적 요인 중 서비스 및 과업수행 경험기간을 고려하여 CRM의 기술도구인 영업자동화(Sales Force Automation: SFA이하)시스템을 받아들이는 판매원의 행동특성을 파악하고 그들은 어떤 일관된 신념과 데이터만족에 대한 과업기술적합성 그리고 사용행동을 보이는지 밝히고자 한다. 이는 고객과의 관계에서 실질적인 효과를 높일 수 있는 긍정적이고 적극적인 자세로 주도적인 판매 업무를 강화시키기 위한 것으로 판매원이 SFA 시스템 기술을 단순히 업무상으로 접근하는 것이 아니라 좀 더 효과적으로 기술을 수용하려면 판매원의 심리를 어떻게 파악해야하며 적절한 시스템에 적용 및 데이터 만족에 대한 과업기술적합성과 함께 유도하여 사용행동으로 이끌도록 하는데 의의가 있다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.211-214
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• 2003

Recently mobile SFA(Sales Force Automation) system makes rapidly progress specially in industries like insurance, manufacture, and distribution. However, there are some problems that information about products and trades is not promptly shared among sales agents or customers, since the current mobile SFA system has simply extended the existing systems for sales management. In order to improve these weaknesses, we introduce LBS(Location Based Service) and mobile P2P(Peer to Peer) service into the existing systems, then design and implement the enhanced system (or mobile SFA using them. Through this improvement, our system makes it possible for customers or sales agents to quickly share various information and increases the efficiency of sales activity by facilitating the competition and cooperation among sales agents and reducing time-cost.

• Journal of the Korea Safety Management & Science
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• v.13 no.4
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• pp.283-290
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• 2011

According to the rapid evolution of information technology, the salesperson's business efficiency and faster information sharing within the enterprise that need to improve competitiveness has been increasing steadily. In general, many companies has been managed the sales through the ERP system. However, the ERP informations as a result of operating activities can not perform customer maintenance activities from strategic planning. Therefore, a series of sales activities information as corporate intellectual assets is needed strategic business solutions for managing it. In this study, the web-based SFA systems were designed for salesperson. Salespersons improve the efficiency of the business through management and improvement activities of sales information. The systematic customer information management contribute to improving the company's revenue through improved customer service satisfaction.

• Korean Management Science Review
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• v.24 no.1
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• pp.127-145
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• 2007

This study attempts to examine the acceptance factors of mSFA systems based on the innovation diffusion and technology acceptance model, and to measure the performance effects of mSFA systems using BSC metrics. Results show that (1) the characteristics of mobility and interactivity have positive impacts on perceived usefulness, ease of use, and professional fit. But the characteristics of personal identity were not perceived as useful due to users' negative feelings about privacy infringement and surveillance. (2) Job fit has positive impacts on perceived usefulness and professional fit. (3) Perceived usefulness, ease of use, and professional fit positively influence the degree of users' dependence on mSFA systems, which have positive impacts on users' performance measured by the personal BSC metrics including perspectives of finance, customer, internal process, and learning and growth.

• The Journal of Information Systems
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• v.30 no.2
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• pp.105-126
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• 2021

Purpose The purpose of this study is to implement a optimal machine learning model about the cancellation prediction performance in car sales business. It is to apply the data set of accumulated contract, cancellation, and sales information in sales support system(SFA) which is commonly used for sales, customers and inventory management by imported car dealers, to several machine learning models and predict performance of cancellation. Design/methodology/approach This study extracts 29,073 contracts, cancellations, and sales data from 2015 to 2020 accumulated in the sales support system(SFA) for imported car dealers and uses the analysis program Python Jupiter notebook in order to perform data pre-processing, verification, and modeling that is applying and learning to Machine learning model after then the final result was predicted using new data. Findings This study confirmed that cancellation prediction is possible by applying car purchase contract information to machine learning models. It proved the possibility of developing and utilizing a generalized predictive model by using data of imported car sales system with machine learning technology. It can reduce and prevent the sales failure as caring the potential lost customer intensively and it lead to increase sales revenue by predicting the cancellation possibility of individual customers.