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題名 採購與供應鏈管理中的公共指標 —現狀評估和潛在改進
Public indices in procurement & supply chain management — status quo assessment and potential improvements
作者 徐立昂
Schuette, Leon Joshua
貢獻者 吳文傑
Wu, Jack
徐立昂
Leon Joshua Schuette
關鍵詞 採購
供應鏈風險管理
採購經理人指數
全球供應鏈壓力指數
物流經理指數
Procurement
Supply chain risk management
Purchasing Manager’s Index
Global Supply Chain Pressure Index
Logistics Manager’s Index
日期 2023
上傳時間 1-Sep-2023 15:13:12 (UTC+8)
摘要 
Due to globally disruptive events in recent years supply chain bottlenecks have gained attention. Supply and production chains are the backbone of the economy. Furthermore, procurement and supply chain management are of increasing importance to businesses. Whilst the Purchasing Manager’s Index (PMI) has been researched extensively by economists, no source could be found that summarizes the status quo of all publicly accessible indices in this field and/or assesses them. The following research questions are addressed: 1. What does the status quo of public indices in procurement and supply chain management look like? What indices are available and how can they be classified? Are there any initial ideas to cover blatant gaps or to make obvious improvements? 2. How do these indices generally differ from the Purchasing Manager’s Index? 3. What criteria can be used to assess the quality and added value of such indices for practitioners? 4. Considering the current state of research, how do the Purchasing Manager’s Index, Logistics Manager’s Index as well as the Global Supply Chain Pressure Index fair under these criteria? In total 16 indices in Procurement, Logistics & SCM and Supply Chain Risk Management could be identified. As of now, the PMI dominates the field and gives actionable insights for practitioners. The LMI is of interest for logistics specifically. The GSCPI provides a straightforward overview on top of the PMI. Private service providers can use their data to create unique indices. There is a lack of indices depicting sustainability risk development.
參考文獻 References
Journals & Papers
Ahir, H., Bloom, N., & Furceri, D. (2022). The world uncertainty index (No. w29763). National bureau of economic research.
Anand, N., & Grover, N. (2015). Measuring retail supply chain performance: Theoretical model using key performance indicators (KPIs). Benchmarking: An international journal.
Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring economic policy uncertainty. The quarterly journal of economics, 131(4), 1593-1636.
Benigno, G., Di Giovanni, J., Groen, J. J., & Noble, A. I. (2022). The GSCPI: a new barometer of global supply chain pressures. FRB of New York Staff Report, (1017).
Biemer, P. P. (2010). Total survey error: Design, implementation, and evaluation. Public opinion quarterly, 74(5), 817-848.
Cho, D. I., & Ogwang, T. (2006). Conceptual perspectives on selecting the principal variables in the purchasing managers` index. Journal of Supply Chain Management, 42(2), 44-52.
Dey, A., LaGuardia, P., & Srinivasan, M. (2011). Building sustainability in logistics operations: a research agenda. Management Research Review, 34(11), 1237-1259.
Fan, Y., & Stevenson, M. (2018). A review of supply chain risk management: definition, theory, and research agenda. International journal of physical distribution & logistics management.
Gurtu, A., & Johny, J. (2021). Supply chain risk management: Literature review. Risks, 9(1), 16.
Harris, E. S. (1991). Tracking the economy with the purchasing managers index. Federal Reserve Bank.
Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015). Supply chain risk management: a literature review. International Journal of Production Research, 53(16), 5031-5069.
Laliberté, L., Grünewald, W., Probst, L. (2004). Data Quality: A comparison Of IMF’s Data Quality Assessment Framework (DQAF) And Eurostat’s Quality Definition.
Joseph, A., Larrain, M., & Turnerc, C. (2011). Forecasting purchasing managers’ index with compressed interest rates and past values. Procedia Computer Science, 6, 213-218.
Koenig, E. F. (2002). Using the purchasing managers’ index to assess the economy’s strength and the likely direction of monetary policy. Federal Reserve Bank of Dallas Economic and Financial Policy Review, 1(6), 1-14.
LaBelle, J., & Santacreu, A. M. (2022). Global supply chain disruptions and inflation during the COVID-19 pandemic. Federal Reserve Bank of St. Louis Review.
Larrain, M. (2007). The PMI, the T‐Bill and Inventories: A Comparative Analysis of Neural Network and Regression Forecasts. Journal of Supply Chain Management, 43(2), 39-51.
Lindsey, M. D., & Pavur, R. J. (2005). As the PMI turns: A tool for supply chain managers. Journal of Supply Chain Management, 41(1), 30-39.
Liu, W. (2017). The analysis of LPI in Fujian province based on quantile regression. 2nd International Conference on Advances in Materials, Mechatronics and Civil Engineering, 151-158.
Pelaez, R. F. (2003a). A new index outperforms the purchasing managers` index. Quarterly Journal of Business and Economics, 41-55.
Pelaez, R. F. (2003b). A reassessment of the purchasing managers` index. Business Economics, 38(4), 35-42.
Pournader, M., Kach, A., & Talluri, S. (2020). A review of the existing and emerging topics in the supply chain risk management literature. Decision Sciences, 51(4), 867-919.
Rogers, R. M. (1992). Forecasting industrial production: purchasing managers` versus production-worker hours data. Economic Review-Federal Reserve Bank of Atlanta, 77(1), 25.
Rogers, Z., Rogers, D., & Leuschner, R. (2018). The Logistics Managers’ Index. Rutgers Business Review, 3(1).
Rogers, Z., Rogers, D., Carnovale, S., Lembke, R., Leuschner, R., & Yeniyurt, S. (2019). The predictive value of the logistics managers’ index. Rutgers Business Review, 4(2).
Schramm, H. J., & Munim, Z. H. (2021). Container freight rate forecasting with improved accuracy by integrating soft facts from practitioners. Research in Transportation Business & Management, 41, 100662.
Sidi, F., Panahy, P. H. S., Affendey, L. S., Jabar, M. A., Ibrahim, H., & Mustapha, A. (2012). Data quality: A survey of data quality dimensions. 2012 International Conference on Information Retrieval & Knowledge Management, 300-304.
Siliverstovs, B. (2018). Dissecting the purchasing managers’ index: Are all relevant components included? Are all included components relevant?. Panoeconomicus, 65(4), 381-394.
Stock, J. H., & Watson, M. W. (2002). Macroeconomic forecasting using diffusion indexes. Journal of Business & Economic Statistics, 20(2), 147-162.
Sulgan, M., & Sosedova, J. (2014). Procurement of materials and components for manufacturing activity. Communications-scientific letters of the University of Zilina, 16(2), 58-62.
Tsuchiya, Y. (2012). Is the purchasing managers’ index useful for assessing the economy’s strength? A directional analysis. Economics Bulletin, 32(2).
Vermeulen, P. (2012). Quantifying the qualitative responses of the output purchasing managers index in the US and the Euro area. ECB Working Paper, No. 1417.

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描述 碩士
國立政治大學
國際經營管理英語碩士學位學程(IMBA)
111933054
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0111933054
資料類型 thesis
dc.contributor.advisor 吳文傑zh_TW
dc.contributor.advisor Wu, Jacken_US
dc.contributor.author (Authors) 徐立昂zh_TW
dc.contributor.author (Authors) Leon Joshua Schuetteen_US
dc.creator (作者) 徐立昂zh_TW
dc.creator (作者) Schuette, Leon Joshuaen_US
dc.date (日期) 2023en_US
dc.date.accessioned 1-Sep-2023 15:13:12 (UTC+8)-
dc.date.available 1-Sep-2023 15:13:12 (UTC+8)-
dc.date.issued (上傳時間) 1-Sep-2023 15:13:12 (UTC+8)-
dc.identifier (Other Identifiers) G0111933054en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/146982-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 國際經營管理英語碩士學位學程(IMBA)zh_TW
dc.description (描述) 111933054zh_TW
dc.description.abstract (摘要) zh_TW
dc.description.abstract (摘要) Due to globally disruptive events in recent years supply chain bottlenecks have gained attention. Supply and production chains are the backbone of the economy. Furthermore, procurement and supply chain management are of increasing importance to businesses. Whilst the Purchasing Manager’s Index (PMI) has been researched extensively by economists, no source could be found that summarizes the status quo of all publicly accessible indices in this field and/or assesses them. The following research questions are addressed: 1. What does the status quo of public indices in procurement and supply chain management look like? What indices are available and how can they be classified? Are there any initial ideas to cover blatant gaps or to make obvious improvements? 2. How do these indices generally differ from the Purchasing Manager’s Index? 3. What criteria can be used to assess the quality and added value of such indices for practitioners? 4. Considering the current state of research, how do the Purchasing Manager’s Index, Logistics Manager’s Index as well as the Global Supply Chain Pressure Index fair under these criteria? In total 16 indices in Procurement, Logistics & SCM and Supply Chain Risk Management could be identified. As of now, the PMI dominates the field and gives actionable insights for practitioners. The LMI is of interest for logistics specifically. The GSCPI provides a straightforward overview on top of the PMI. Private service providers can use their data to create unique indices. There is a lack of indices depicting sustainability risk development.en_US
dc.description.tableofcontents TABLE OF CONTENTS
1. Introduction 1
1.1. Motivation 1
1.2. Research Gap & Research Questions 2
2. Status Quo 4
2.1. Indices in Procurement/Purchasing 4
2.1.1. ISM Purchasing Managers Index (PMI) 7
2.1.2. S&P PMI Differences Compared to ISM PMI 10
2.1.3. Grant Thornton Procurement Index 12
2.2. Indices in Logistics & Supply Chain Management 13
2.2.1. Logistics Managers’ Index (LMI) 16
2.2.2. Other L&SCM Indices 17
2.3. Indices in Supply Chain Risk Management 23
2.3.1. Global Supply Chain Pressure Index (GSCPI) 26
2.3.2. Other SCRM Indices 27
3. Assessment of Prominent Indices by Category 33
3.1. Criteria 33
3.2. Overview of Assessment via Advantages & Disadvantages 39
3.3. Purchasing Managers Index (PMI) 40
3.3.1. Data Quality & Impartiality 40
3.3.2. Further Criteria 42
3.3.3. Insightfulness (Predictiveness) & Relevance 45
3.3.4. Actionability 46
3.4. Logistics Manager’s Index (LMI) 54
3.4.1. Initial Criteria 54
3.4.2. Insightfulness (Predictiveness) & Relevance, Actionability 56
3.5. Global Supply Chain Pressure Index (GSCPI) 59
3.5.1. Initial Criteria 59
3.5.2. Insightfulness (Predictiveness) & Relevance, Actionability 61
4. Initial Suggestions of Improvements & New Indices 63
Summary and Conclusion 68
References 72
Journals & Papers 72
Other Sources 75


List of Tables
Table 1: General Overview of Procurement/Purchasing Indices 6
Table 2: ISM PMI Subindices 8
Table 3: General Overview of Logistics/Supply Chain Management Indices 13
Table 4: General Overview of Supply Chain Risk Management Indices 23
Table 5: Assessment Criteria for Indices in Procurement & Supply Chain Management 33
Table 6: 3.2. Advantages & Disadvantages of PMI, LMI, GSCPI 39
Table 7: Practical PMI Application Areas 47
Table 8: Supplier Management via (S&P) PMI 49
Table 9: B2B Sales Strategy in Action via (S&P) PMI 51
zh_TW
dc.format.extent 2344947 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0111933054en_US
dc.subject (關鍵詞) 採購zh_TW
dc.subject (關鍵詞) 供應鏈風險管理zh_TW
dc.subject (關鍵詞) 採購經理人指數zh_TW
dc.subject (關鍵詞) 全球供應鏈壓力指數zh_TW
dc.subject (關鍵詞) 物流經理指數zh_TW
dc.subject (關鍵詞) Procurementen_US
dc.subject (關鍵詞) Supply chain risk managementen_US
dc.subject (關鍵詞) Purchasing Manager’s Indexen_US
dc.subject (關鍵詞) Global Supply Chain Pressure Indexen_US
dc.subject (關鍵詞) Logistics Manager’s Indexen_US
dc.title (題名) 採購與供應鏈管理中的公共指標 —現狀評估和潛在改進zh_TW
dc.title (題名) Public indices in procurement & supply chain management — status quo assessment and potential improvementsen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) References
Journals & Papers
Ahir, H., Bloom, N., & Furceri, D. (2022). The world uncertainty index (No. w29763). National bureau of economic research.
Anand, N., & Grover, N. (2015). Measuring retail supply chain performance: Theoretical model using key performance indicators (KPIs). Benchmarking: An international journal.
Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring economic policy uncertainty. The quarterly journal of economics, 131(4), 1593-1636.
Benigno, G., Di Giovanni, J., Groen, J. J., & Noble, A. I. (2022). The GSCPI: a new barometer of global supply chain pressures. FRB of New York Staff Report, (1017).
Biemer, P. P. (2010). Total survey error: Design, implementation, and evaluation. Public opinion quarterly, 74(5), 817-848.
Cho, D. I., & Ogwang, T. (2006). Conceptual perspectives on selecting the principal variables in the purchasing managers` index. Journal of Supply Chain Management, 42(2), 44-52.
Dey, A., LaGuardia, P., & Srinivasan, M. (2011). Building sustainability in logistics operations: a research agenda. Management Research Review, 34(11), 1237-1259.
Fan, Y., & Stevenson, M. (2018). A review of supply chain risk management: definition, theory, and research agenda. International journal of physical distribution & logistics management.
Gurtu, A., & Johny, J. (2021). Supply chain risk management: Literature review. Risks, 9(1), 16.
Harris, E. S. (1991). Tracking the economy with the purchasing managers index. Federal Reserve Bank.
Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015). Supply chain risk management: a literature review. International Journal of Production Research, 53(16), 5031-5069.
Laliberté, L., Grünewald, W., Probst, L. (2004). Data Quality: A comparison Of IMF’s Data Quality Assessment Framework (DQAF) And Eurostat’s Quality Definition.
Joseph, A., Larrain, M., & Turnerc, C. (2011). Forecasting purchasing managers’ index with compressed interest rates and past values. Procedia Computer Science, 6, 213-218.
Koenig, E. F. (2002). Using the purchasing managers’ index to assess the economy’s strength and the likely direction of monetary policy. Federal Reserve Bank of Dallas Economic and Financial Policy Review, 1(6), 1-14.
LaBelle, J., & Santacreu, A. M. (2022). Global supply chain disruptions and inflation during the COVID-19 pandemic. Federal Reserve Bank of St. Louis Review.
Larrain, M. (2007). The PMI, the T‐Bill and Inventories: A Comparative Analysis of Neural Network and Regression Forecasts. Journal of Supply Chain Management, 43(2), 39-51.
Lindsey, M. D., & Pavur, R. J. (2005). As the PMI turns: A tool for supply chain managers. Journal of Supply Chain Management, 41(1), 30-39.
Liu, W. (2017). The analysis of LPI in Fujian province based on quantile regression. 2nd International Conference on Advances in Materials, Mechatronics and Civil Engineering, 151-158.
Pelaez, R. F. (2003a). A new index outperforms the purchasing managers` index. Quarterly Journal of Business and Economics, 41-55.
Pelaez, R. F. (2003b). A reassessment of the purchasing managers` index. Business Economics, 38(4), 35-42.
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