跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.124) 您好!臺灣時間:2026/06/04 20:32
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:穆佳力
研究生(外文):MUHAMMAD GHALIH
論文名稱:以Grey Forecasting與DEMATEL方法分析印尼咖啡總消費實証研究
論文名稱(外文):An Analysis of Total Coffee Consumption in Indonesia Using Grey Forecasting and DEMATEL Methods
指導教授:王天津
指導教授(外文):TIEN-CHIN WANG
口試委員(外文):TSUEN-HO HSUSHU-MEI TSENGLISA.Y CHEN
口試日期:2018-05-21
學位類別:碩士
校院名稱:國立高雄應用科技大學
系所名稱:國際企業研究所
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:英文
論文頁數:101
外文關鍵詞:CoffeeConsumptionDEMATELForecastingGrey theoryIndonesia
相關次數:
  • 被引用被引用:0
  • 點閱點閱:354
  • 評分評分:
  • 下載下載:72
  • 收藏至我的研究室書目清單書目收藏:1
In this study, the objectives propose the overall of domestic coffee consumption in Indonesia applied GM (1, 1) model of Grey theory to forecast the quantity of domestic coffee consumption in Indonesia from 1990 to 2017. Likewise, the DEMATEL (Decision-Making Trial and Evaluation Laboratory) methodology focuses on decision consideration. The projected technique makes use of Grey Forecasting and DEMATEL methods for evaluating the forecasting result of the variable for assessing the alternatives allowing to four perspectives (P) and eighteen criteria (C). The outcome of Grey forecast model shows predicted value start from 4 years to 12 years ranges, and it seems the total of consumption will remain growth in each year. Moreover, this suggested technique superficially not merely develop the forecasting precision of the original Grey models and DEMATEL methodologies but also deliver precious orientation to make the best development for Indonesian coffee in the forthcoming.
ABSTRACT ...................................................................................................................... i
DECLARATION .............................................................................................................. ii
ACKNOWLEDGMENTS ............................................................................................... iii
TABLE OF CONTENTS ................................................................................................ iv
LIST OF TABLES .......................................................................................................... vi
LIST OF FIGURES ........................................................................................................ vii
CHAPTER ONE ............................................................................................................... 1
INTRODUCTION ............................................................................................................ 1
1.1 Research Background ............................................................................... 1
1.2 Research Purposes .................................................................................. 10
CHAPTER TWO ............................................................................................................ 11
LITERATURE REVIEW ............................................................................................... 11
2.1 Indonesian Coffee Consumption............................................................. 11
2.2 Grey System ............................................................................................ 13
2.3 Decision Making Trial and Evaluation Laboratory ................................ 16
CHAPTER THREE ........................................................................................................ 18
METHODOLOGY ......................................................................................................... 18
3.1 Research Design...................................................................................... 18
3.2 Grey Forecasting ..................................................................................... 19
3.3 Decision Making Trial and Evaluation Laboratory ................................ 22
CHAPTER FOUR .......................................................................................................... 25
DATA ANALYSIS AND RESEARCH FINDINGS ..................................................... 25
4.1 Data Analysis .......................................................................................... 25
4.2 Grey Forecasting Finding ....................................................................... 26
4.2 DEMATEL Finding .................................................................................. 28
CHAPTER FIVE ............................................................................................................ 32
CONCLUSION AND DISCUSSION ............................................................................ 32
5.1 Conclusion .............................................................................................. 32
5.2 Discussion ............................................................................................... 33
REFERENCES ............................................................................................................... 36
BIOGRAPHY ................................................................................................................. 42
APPENDIX .................................................................................................................... 43
APPENDED PAPERS .................................................................................................... 62
1. Abdi, A. (2016). Indonesia Coffee Annual Indonesia Coffee Annual Report 2015. Global Agricultural Information Network.

2. Abdi, A. (2017). Indonesia Coffee Annual Indonesia Coffee Annual Report 2017. Global Agricultural Information Network.

3. Asan, U., Kadaifci, C., Bozdag, E., Soyer, A., & Serdarasan, S. (2018). A new approach to DEMATEL based on interval-valued hesitant fuzzy sets. Applied Soft Computing Journal, 66, 34–49. https://doi.org/10.1016/j.asoc.2018.01.018

4. Bhatia, M. S., & Srivastava, R. K. (2018). Analysis of external barriers to remanufacturing using grey-DEMATEL approach: An Indian perspective. Resources, Conservation and Recycling, 136(December 2017), 79–87. https://doi.org/10.1016/j.resconrec.2018.03.021

5. Chen, Y., Zhang, C., He, K., & Zheng, A. (2018). Multi-step-ahead crude oil price forecasting using a hybrid grey wave model. Physica A: Statistical Mechanics and Its Applications, 501, 98–110. https://doi.org/10.1016/j.physa.2018.02.061

6. Cui, L., Chan, H. K., Zhou, Y., Dai, J., & Lim, J. J. (2018). Exploring critical factors of green business failure based on Grey-Decision Making Trial and Evaluation Laboratory (DEMATEL). Journal of Business Research, (June 2017), 0–1. https://doi.org/10.1016/j.jbusres.2018.03.031

7. Fang, S., Yao, X., Zhang, J., & Han, M. (2017). Grey Correlation Analysis
Travel Modes and their Influence Factors. Procedia Engineering, 174, 347–352. https://doi.org/10.1016/j.proeng.2017.01.151

8. Gabus, A., Fontela, E., 1972. World Problems, an Invitation to Further Thought Within the Framework of DEMATEL. Battelle Geneva Research Center, Geneva, Switzerland.

9. Ghalih, M., Berlianingtyas, P. A., & Sailawati. (2018). A Case Study : Forecasting the Total Production of Premium Gasoline in Indonesia. IOSR Journal of Business and Management (IOSR-JBM), 20(5), 34–38. https://doi.org/10.9790/487X-2005083438

10. Ghalih, M., Krisnawaty, M. Y., Purnama, P. D., Hafiz, M., & Guspian, I. (2018). Investigating Total Production and Harvested Area of Paddy in Indonesia Using Grey Forecasting Methodology. International Journal of Management and Economics Invention, 04(May), 1748–1753. https://doi.org/10.31142/ijmei/v4i5.06

11. Huang, Y.-L., & Lee, Y.-H. (2011). Accurately Forecasting Model for the Stochastic Volatility Data in Tourism Demand. Modern Economy, 02(05), 823–829. https://doi.org/10.4236/me.2011.25091

12. Johnson, Z. S., Lee, Y. J., & Ashoori, M. T. (2018). Brand associations: The value of ability versus social responsibility depends on consumer goals. Journal of Brand Management, 25(1), 27–37. https://doi.org/10.1057/s41262-017-0070-4

13. Julong, D. (1989). Introduction to Grey System Theory. The Journal of Grey System, 1, 1–24.

14. Kumar, A., & Dixit, G. (2018). Evaluating critical barriers to implementation of WEEE management using DEMATEL approach. Resources, Conservation and Recycling, 131(December 2017), 101–121. https://doi.org/10.1016/j.resconrec.2017.12.024

15. Lee, Y. (2018). The Ranking of Taiwan Famous Beer via Grey Relational Grade, 21(1), 45–50.

16. Li, G.-D., Yamaguchi, D., Nagai, M., & Masuda, S. (2008). A Prediction Model Using Hybrid Grey GM (1,1) Model. Journal of Grey System, 11(1), 19–26. https://doi.org/10.30016/JGS.200803.0003

17. Liu, S., & Lin, Y. (2011). Grey Systems (Vol. 68). https://doi.org/10.1007/978-3-642-16158-2

18. Liu, S., Yang, Y., & Forrest, J. (2017). Grey Data Analysis. https://doi.org/10.1007/978-981-10-1841-1

19. Luthra, S., Govindan, K., & Mangla, S. K. (2017). Structural model for sustainable consumption and production adoption—A grey-DEMATEL based approach. Resources, Conservation and Recycling, 125, 198–207. https://doi.org/10.1016/j.resconrec.2017.02.018

20. Mundel, J., Huddleston, P., & Vodermeier, M. (2017). An exploratory study of consumers’ perceptions: What are affordable luxuries? Journal of Retailing and Consumer Services, 35(September 2016), 68–75. https://doi.org/10.1016/j.jretconser.2016.12.004

21. Quezada, L. E., López-Ospina, H. A., Palominos, P. I., & Oddershede, A. M. (2018). Identifying causal relationships in strategy maps using ANP and DEMATEL. Computers and Industrial Engineering, 118(December 2017), 170–179. https://doi.org/10.1016/j.cie.2018.02.020

22. Quintão, R. T., Brito, E. P. Z., & Belk, R. W. (2017). the Taste Transformation Ritual in the Specialty Coffee Market. Revista de Administração de Empresas, 57(5), 483–494. https://doi.org/10.1590/s0034-759020170506

23. Sun, G., Guan, X., Yi, X., & Zhou, Z. (2018). Grey relational analysis between hesitant fuzzy sets with applications to pattern recognition. Expert Systems with Applications, 92, 521–532. https://doi.org/10.1016/j.eswa.2017.09.048

24. Tsai, S. B. (2018). Using the DEMATEL model to explore the job satisfaction of research and development professionals in china’s photovoltaic cell industry. Renewable and Sustainable Energy Reviews, 81(May 2017), 62–68. https://doi.org/10.1016/j.rser.2017.07.014

25. Wang, C. W., Yeh, C. K., Wen, K. L., & Jwo, W. S. (2006). The development of completed grey relational grade toolbox via matlab. 2006 IEEE Conference on Cybernetics and Intelligent Systems, 9(1). https://doi.org/10.1109/ICCIS.2006.252264

26. Wang, Q., Liu, L., Wang, S., Wang, J. Z., & Liu, M. (2017). Predicting Beijing’s tertiary industry with an improved grey model. Applied Soft Computing Journal, 57, 482–494. https://doi.org/10.1016/j.asoc.2017.04.022

27. Wang, T.-C., & Ghalih, M. (2017). Evaluation of Grey Forecasting Method of Total Domestic Coffee Consumption in Indonesia. International Journal of Business and Economics Research, 6(4), 67–72. https://doi.org/10.11648/j.ijber.20170604.15

28. Wang, T.-C., Ghalih, M., & Porter, G. A. (2017). Marketing Public Relations Strategies to Develop Brand Awareness of Coffee Products. Science Journal of Business and Management, 5(3), 116–121. https://doi.org/10.11648/j.sjbm.20170503.15

29. Wang, T., & Ghalih, M. (2017). Evaluation of Grey Forecasting Method in Total Indonesian Production Crude Oil and Condensate, 2(AETMS), 256–261. https://doi.org/10.12783/dtssehs/aetms2017/15877

30. Wang, Z. X., Li, Q., & Pei, L. L. (2018). A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors. Energy, 154, 522–534. https://doi.org/10.1016/j.energy.2018.04.155

31. Wright, T., & Rahmanulloh, A. (2016). Indonesia Coffee Annual Indonesia Coffee Annual Report 2016. Global Agricultural Information Network.

32. Wu, Y., Hu, Y., Lin, X., Li, L., & Ke, Y. (2018). Identifying and analyzing barriers to offshore wind power development in China using the grey decision-making trial and evaluation laboratory approach. Journal of Cleaner Production, 189, 853–863. https://doi.org/10.1016/j.jclepro.2018.04.002

33. Xu, G., Piao, S., & Song, Z. (2015). Demand Forecasting of Agricultural Products Logistics in Community Demand Forecasting of Logistics, Agricultural Products in Community, Grey Prediction Model. American Journal of Industrial and Business ManagementJ. and Song, Z.L. American Journal of Industrial and Business Management, 5(5), 507–517. https://doi.org/10.4236/ajibm.2015.57050

34. Yu, C., & Chen, S. (2017). Applying Genetic Algorithm and GM ( h , N ) in Sales Forecasting, 20(2), 109–116.

35. Zhan, Q., Zheng, W., & Zhao, B. (2017). A hybrid human and organizational analysis method for railway accidents based on HFACS-Railway Accidents (HFACS-RAs). Safety Science. https://doi.org/10.1016/j.ssci.2016.08.017

36. Information on http://www.aeki-aice.org/. Accessed on 19 December 2017

37. Information on https://www.bps.go.id/. Accessed on 16 September 2017

38. Information on http://iccri.net/. Accessed on 22 September 2017

39. Information on http://www.ico.org/. Accessed on 23 March 2017

40. Information on http://www.sintercafe.com/. Accessed on 24 March 2017
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊