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研究生: 賴科源
Ko-Yuan Lai
論文名稱: ERP系統導入後投資的技術效率分析
Technical Efficiency Analysis of Post Implementation Investment in ERP Systems
指導教授: 許秉瑜
Ping-yu Hsu
口試委員:
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理學系
Department of Business Administration
畢業學年度: 91
語文別: 英文
論文頁數: 33
中文關鍵詞: Tobit-regression技術效率企業資源規劃
外文關鍵詞: Tobit-regression, technical efficiency, enterprise resource planning (ERP)
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  • factors that managers need to address with great care especially in today’s global
    environment. Enterprises worldwide race to implement Enterprise Resource
    Planning (ERP) systems to streamline business processes and increase flexibility in
    the last 10 years (O’Leary, 2000). Usually, management may want to assess the
    business benefits or performances of ERP systems (Shang and Seddon, 2000). In
    this paper, we try to analysis the relationship of ERP continuous investment and
    technical efficiency through two stages.
    In the first stage, we will utilize one output-variables, gross sales, and two
    input-variables, capital stock and labor expense, to measure technical efficiency
    scores in BCC model in order to identify the best benchmark performers in our
    sample firms who have implemented ERP. In the second stage, we will utilize the
    Tobit regression to investigate the relationship between efficiency scores and ERP
    continuous investment, which the concept is based on total costing ownership (TCO)
    of technology assets, include percentage of IT budget spent on average annual ERP
    maintaining expense, percentage of IT budget spent on average annual personal salary
    of ERP maintaining staff and percentage of IT budget spent on average annual
    training expense of ERP staff. On the other hand, we classify our samples by system
    vendors to global and local brand to analyze the cultural impact of ERP system in
    technical efficiency.
    The result shows that:
    1.ERP maintain expenses identified as debugging and system update whether on
    line or on the scene, has a favorable impact on firm’s technical efficiency.
    2. ERP personnel salary identified as back-filled staff’s salary and maintains
    staff’s salary that has a favorable impact on firm’s technical efficiency.
    3. ERP staff training expenses identified as the cost to provide training to ERP
    specialists and end users, has no significant impact on firm’s technical efficiency.
    However, we have discussed the no significant reason with ERP consultant, the reason
    that the firms education system is mentoring but not consultant no matter old or new
    employee.
    4. The local brand of ERP systems shows higher technical efficiency in our
    samples in Taiwan. The implies that a one-size-fits-all or one-business-model-
    fits-all approach is unlikely to be successful. As the statistic evidence, Developers
    and consultants need to adapt their products and services for different cultural
    markets.


    i
    Abstract
    The management of information technology (IT) has become one of the key
    factors that managers need to address with great care especially in today’s global
    environment. Enterprises worldwide race to implement Enterprise Resource
    Planning (ERP) systems to streamline business processes and increase flexibility in
    the last 10 years (O’Leary, 2000). Usually, management may want to assess the
    business benefits or performances of ERP systems (Shang and Seddon, 2000). In
    this paper, we try to analysis the relationship of ERP continuous investment and
    technical efficiency through two stages.
    In the first stage, we will utilize one output-variables, gross sales, and two
    input-variables, capital stock and labor expense, to measure technical efficiency
    scores in BCC model in order to identify the best benchmark performers in our
    sample firms who have implemented ERP. In the second stage, we will utilize the
    Tobit regression to investigate the relationship between efficiency scores and ERP
    continuous investment, which the concept is based on total costing ownership (TCO)
    of technology assets, include percentage of IT budget spent on average annual ERP
    maintaining expense, percentage of IT budget spent on average annual personal salary
    of ERP maintaining staff and percentage of IT budget spent on average annual
    training expense of ERP staff. On the other hand, we classify our samples by system
    vendors to global and local brand to analyze the cultural impact of ERP system in
    technical efficiency.
    The result shows that:
    1.ERP maintain expenses identified as debugging and system update whether on
    line or on the scene, has a favorable impact on firm’s technical efficiency.
    2. ERP personnel salary identified as back-filled staff’s salary and maintains
    staff’s salary that has a favorable impact on firm’s technical efficiency.
    3. ERP staff training expenses identified as the cost to provide training to ERP
    specialists and end users, has no significant impact on firm’s technical efficiency.
    However, we have discussed the no significant reason with ERP consultant, the reason
    that the firms education system is mentoring but not consultant no matter old or new
    employee.
    4. The local brand of ERP systems shows higher technical efficiency in our
    samples in Taiwan. The implies that a one-size-fits-all or one-business-model-
    fits-all approach is unlikely to be successful. As the statistic evidence, Developers
    and consultants need to adapt their products and services for different cultural
    markets.

    CONTENTS Abstract.........................................................................................................................i TABLE OF CONTENTS............................................................................................iii LIST OF FIGURES ....................................................................................................iv LIST OF TABLES........................................................................................................v CHAPTER 1 INTRODUCTION................................................................................1 CHAPTER 2 LITERATURE REVIEW....................................................................4 2.1 Theory of DEA.................................................................................................4 2.1.1 CCR model....................................................................................................5 2.1.2 BCC model....................................................................................................7 2.2 Technical and Allocative Efficiency ................................................................9 2.3 Data envelopment analysis in IT area............................................................10 2.4 Overview of ERP ...........................................................................................11 2.5 ERP measurement ..........................................................................................12 CHAPTER 3 METHODOLOGIES .........................................................................13 3.1 Research methodology and hypothesis..........................................................13 3.2 Data description .............................................................................................17 CHAPTER 4 RESULTS AND DISCUSSIONS.......................................................20 4.1 Result of first stage ........................................................................................20 4.2 Result of second stage ....................................................................................21 4.3 Discussions ....................................................................................................23 CHAPTER 5 CONCLUSION...................................................................................25 Reference.....................................................................................................................26 Appendix .....................................................................................................................31

    26
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