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روحانی, سعید, رواسان, احدزارع. (1391). مدل ارزیابی سطح هوش تجاری در سیستم‌های سازمانی. سامانه مدیریت نشریات علمی, 1(2), 105-121.
سعید روحانی; احدزارع رواسان. "مدل ارزیابی سطح هوش تجاری در سیستم‌های سازمانی". سامانه مدیریت نشریات علمی, 1, 2, 1391, 105-121.
روحانی, سعید, رواسان, احدزارع. (1391). 'مدل ارزیابی سطح هوش تجاری در سیستم‌های سازمانی', سامانه مدیریت نشریات علمی, 1(2), pp. 105-121.
روحانی, سعید, رواسان, احدزارع. مدل ارزیابی سطح هوش تجاری در سیستم‌های سازمانی. سامانه مدیریت نشریات علمی, 1391; 1(2): 105-121.

مدل ارزیابی سطح هوش تجاری در سیستم‌های سازمانی

مطالعات مدیریت کسب و کار هوشمند
مقاله 5، دوره 1، شماره 2، اسفند 1391، صفحه 105-121    اصل مقاله (714.41 K)
نویسندگان
سعید روحانی1؛ احدزارع رواسان2
1عضو هیات علمی دانشگاه آزاد اسلامی، واحد فیروزکوه
2دانشجوی دکتری مدیریت فناوری اطلاعات، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبائی
چکیده
      بسیاری از سازمان‌ها که امروزه، سیستم‌های سازمانی مانند سیستم‌های برنامه‌ریزی منابع سازمان (ERP)، سیستم‌های مدیریت زنجیره تامین (SCM) و سیستم‌های مدیریت روابط مشتریان (CRM) را پیاده‌سازی نموده‌اند، هنوز از هوش تجاری در فرایندهای تصمیم‌گیری برخوردار نیستند. مدل‌ها و روش‌های ارزیابی و سنجش هوش تجاری در سیستم‌های سازمانی می‌تواند در تشخیص سطح هوش سیستم‌ها و ایجاد فضای مناسب پشتیبانی تصمیم‌گیری، مفید باشند. در این مقاله در مورد معیارهای ارزیابی هوش تجاری، ساختار و عوامل موثر در مدل ارزیابی هوش تجاری بحث می شود. عوامل و مدل پیشنهادی جهت ارزیابی هوش تجاری ارائه شده در این مقاله، سازمان‌ها را در ارتقاء تصمیم‌گیری یاری می رساند. این تحقیق با مرور جامع ادبیات موضوع، پیمایش و انجام تحلیل عاملی، یک مدل شش عاملی شامل ابعاد "پشتیبانیتصمیمتحلیلیهوشمند"، "یکپارچگیبامحیطوتجربیاتگروهی"، "مدل‌هایتوصیه‌کنندهوبهینه‌کننده"، "دلیلآوری"، "ابزارهایارتقاتصمیم"، و "رضایتذینفعان" جهت ارزیابی هوش تجاری ارائه می‌نماید. این مدل با ارائه معیارها و عوامل ارزیابی سطح هوش، به سازمان‌ها در طراحی، خرید و پیاده‌سازی سیستم‌ها و نرم‌افزارها در راستای پشتیبانی تصمیم بهتر در تمامی سطوح کمک می‌نماید.
کلید واژگان:هوش تجاری، پشتیبانی تصمیم، سیستم‌های سازمانی، مدل ارزیابی
 
کلیدواژه‌ها
هوش تجاری؛ پشتیبانی تصمیم؛ سیستم‌های سازمانی؛ مدل ارزیابی
مراجع
  1. Alter, S. (2004). A work system view of DSS in its fourth decade. Decision Support Systems, 38(3), 319-327.
  2. Azadivar, F., Truong, T., & Jiao, Y. (2009). A decision support system for fisheries management using operations research and systems science approach. Expert Systems with Applications, 36(2), 2971-2978.
  3. Bartlett, M. S. (1950). Test of significance in factor analysis. British Journal of Psychology, 3, 77-85.
  4. Berzal, F., Cubero, J. C., & Jiménez, A. (2009). The design and use of the TMiner component-based data mining framework. Expert Systems with Applications, 36(4), 7882-7887.
  5. Bolloju, N., Khalifa, M., & Turban, E. (2002). Integrating knowledge management into enterprise environments for the next generation decision support. Decision Support Systems, 33(2), 163-176.
  6. Bose, R. (2009). Advanced analytics: opportunities and challenges. Industrial Management & Data Systems, 109(2), 155-172.
  7. Bucher, T., Gericke, A., & Sigg, S. (2009). Process-centric business intelligence. Business Process Management Journal, 15(3), 408-429.
  8. Cheng, H., Lu, Y. C., & Sheu, C. (2009). An ontology-based business intelligence application in a financial knowledge management system. Expert Systems with Applications, 36(2), 3614-3622.
  9. du Plessis, T., & du Toit, A. (2006). Knowledge management and legal practice. International journal of information management, 26(5), 360-371.
  10. Eckerson, W. W. (2010). Performance dashboards: measuring, monitoring, and managing your business: Wiley.
  11. Elbashir, M. Z., Collier, P. A., & Davern, M. J. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 9(3), 135-153.
  12. Evers, M. (2008). An analysis of the requirements for DSS on integrated river basin management. Management of Environmental Quality: An International Journal, 19(1), 37-53.
  13. Feng, Y. H., Teng, T. H., & Tan, A. H. (2009). Modelling situation awareness for Context-aware Decision Support. Expert Systems with Applications, 36(1), 455-463.
  14. Gao, S., & Xu, D. (2009). Conceptual modeling and development of an intelligent agent-assisted decision support system for anti-money laundering. Expert Systems with Applications, 36(2), 1493-1504.
  15. Ghoshal, S., & Kim, S. K. (1986). Building effective intelligence systems for competitive advantage. Sloan Management Review, 28(1), 49-58.
  16. González, J. R., Pelta, D. A., & Masegosa, A. D. (2009). A framework for developing optimization-based decision support systems. Expert Systems with Applications, 36(3), 4581-4588.
  17. Gottschalk, P. (2006). Expert systems at stage IV of the knowledge management technology stage model: The case of police investigations. Expert Systems with Applications, 31(3), 617-628.
  18. Granebring, A., & Révay, P. (2007). Service-oriented architecture is a driver for daily decision support. Kybernetes, 36(5/6), 622-635.
  19. Jalonen, H., & Lönnqvist, A. (2009). Predictive business–fresh initiative or old wine in a new bottle. Management Decision, 47(10), 1595-1609.
  20. Lee, C., Lau, H., Ho, G., & Ho, W. (2009). Design and development of agent-based procurement system to enhance business intelligence. Expert Systems with Applications, 36(1), 877-884.
  21. Lin, Y. H., Tsai, K. M., Shiang, W. J., Kuo, T. C., & Tsai, C. H. (2009). Research on using ANP to establish a performance assessment model for business intelligence systems. Expert Systems with Applications, 36(2), 4135-4146.
  22. Lönnqvist, A., & Pirttimäki, V. (2006). The measurement of business intelligence. Information Systems Management, 23(1), 32-40.
  23. Marinoni, O., Higgins, A., Hajkowicz, S., & Collins, K. (2009). The Multiple Criteria Analysis Tool (MCAT): A new software tool to support environmental investment decision making. Environmental Modelling & Software, 24(2), 153-164.
  24. Nemati, H. R., Steiger, D. M., Iyer, L. S., & Herschel, R. T. (2002). Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing. Decision Support Systems, 33(2), 143-161.
  25. Ozbayrak, M., & Bell, R. (2003). A knowledge-based decision support system for the management of parts and tools in FMS. Decision Support Systems, 35(4), 487-515.
  26. Petrini, M., & Pozzebon, M. (2008). What Role is “Business Intelligence” Playing in Developing Countries? Data mining applications for empowering knowledge societies, 241.
  27. Power, D. J. (2008). Understanding data-driven decision support systems. Information Systems Management, 25(2), 149-154.
  28. Power, D. J., & Sharda, R. (2007). Model-driven decision support systems: Concepts and research directions. Decision Support Systems, 43(3), 1044-1061.
  29. Quinn, N. W. T. (2009). Environmental decision support system development for seasonal wetland salt management in a river basin subjected to water quality regulation. agricultural water management, 96(2), 247-254.
  30. Raggad, B. G. (1997). Decision support system: use IT or skip IT. Industrial Management & Data Systems, 97(2), 43-50.
  31. Reich, Y., & Kapeliuk, A. (2005). A framework for organizing the space of decision problems with application to solving subjective, context-dependent problems. Decision Support Systems, 41(1), 1-19.
  32. Ross, J. J., Dena , M. A., & Mahfouf, M. (2009). A hybrid hierarchical decision support system for cardiac surgical intensive care patients. Part II. Clinical implementation and evaluation. Artificial Intelligence in Medicine, 45(1), 53-62.
  33. Sen, C. G., Baracli, H., Sen, S., & Basligil, H. (2009). An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection. Expert Systems with Applications, 36(3), 5272-5283.
  34. Shang, J., Tadikamalla, P. R., Kirsch, L. J., & Brown, L. (2008). A decision support system for managing inventory at GlaxoSmithKline. Decision Support Systems, 46(1), 1-13.
  35. Shi, Z., Huang, Y., He, Q., Xu, L., Liu, S., Qin, L., . . . Zhao, L. (2007). MSMiner--a developing platform for OLAP. Decision Support Systems, 42(4), 2016-2028.
  36. Tan, X., Yen, D. C., & Fang, X. (2003). Web warehousing: Web technology meets data warehousing. Technology in Society, 25(1), 131-148.
  37. Tsoukiàs, A. (2008). From decision theory to decision aiding methodology. European Journal of Operational Research, 187(1), 138-161.
  38. Wen, W., Chen, Y., & Pao, H. (2008). A mobile knowledge management decision support system for automatically conducting an electronic business. Knowledge-Based Systems, 21(7), 540-550.
  39. Xiaoshuan, Z., Zetian, F., Wengui, C., Dong, T., & Jian, Z. (2009). Applying evolutionary prototyping model in developing FIDSS: An intelligent decision support system for fish disease/health management. Expert Systems with Applications, 36(2), 3901-3913.
  40. Yang, I. (2008). Utility-based decision support system for schedule optimization. Decision Support Systems, 44(3), 595-605.
  41. Yu, L., Wang, S., & Lai, K. K. (2009). An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: the case of credit scoring. European Journal of Operational Research, 195(3), 942-959.
  42. Zack, M. H. (2007). The role of decision support systems in an indeterminate world. Decision Support Systems, 43(4), 1664-1674.
  43. Zhan, J., Loh, H. T., & Liu, Y. (2009). Gather customer concerns from online product reviews-A text summarization approach. Expert Systems with Applications, 36(2), 2107-2115.

 

  1. Alter, S. (2004). A work system view of DSS in its fourth decade. Decision Support Systems, 38(3), 319-327.
  2. Azadivar, F., Truong, T., & Jiao, Y. (2009). A decision support system for fisheries management using operations research and systems science approach. Expert Systems with Applications, 36(2), 2971-2978.
  3. Bartlett, M. S. (1950). Test of significance in factor analysis. British Journal of Psychology, 3, 77-85.
  4. Berzal, F., Cubero, J. C., & Jiménez, A. (2009). The design and use of the TMiner component-based data mining framework. Expert Systems with Applications, 36(4), 7882-7887.
  5. Bolloju, N., Khalifa, M., & Turban, E. (2002). Integrating knowledge management into enterprise environments for the next generation decision support. Decision Support Systems, 33(2), 163-176.
  6. Bose, R. (2009). Advanced analytics: opportunities and challenges. Industrial Management & Data Systems, 109(2), 155-172.
  7. Bucher, T., Gericke, A., & Sigg, S. (2009). Process-centric business intelligence. Business Process Management Journal, 15(3), 408-429.
  8. Cheng, H., Lu, Y. C., & Sheu, C. (2009). An ontology-based business intelligence application in a financial knowledge management system. Expert Systems with Applications, 36(2), 3614-3622.
  9. du Plessis, T., & du Toit, A. (2006). Knowledge management and legal practice. International journal of information management, 26(5), 360-371.
  10. Eckerson, W. W. (2010). Performance dashboards: measuring, monitoring, and managing your business: Wiley.
  11. Elbashir, M. Z., Collier, P. A., & Davern, M. J. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 9(3), 135-153.
  12. Evers, M. (2008). An analysis of the requirements for DSS on integrated river basin management. Management of Environmental Quality: An International Journal, 19(1), 37-53.
  13. Feng, Y. H., Teng, T. H., & Tan, A. H. (2009). Modelling situation awareness for Context-aware Decision Support. Expert Systems with Applications, 36(1), 455-463.
  14. Gao, S., & Xu, D. (2009). Conceptual modeling and development of an intelligent agent-assisted decision support system for anti-money laundering. Expert Systems with Applications, 36(2), 1493-1504.
  15. Ghoshal, S., & Kim, S. K. (1986). Building effective intelligence systems for competitive advantage. Sloan Management Review, 28(1), 49-58.
  16. González, J. R., Pelta, D. A., & Masegosa, A. D. (2009). A framework for developing optimization-based decision support systems. Expert Systems with Applications, 36(3), 4581-4588.
  17. Gottschalk, P. (2006). Expert systems at stage IV of the knowledge management technology stage model: The case of police investigations. Expert Systems with Applications, 31(3), 617-628.
  18. Granebring, A., & Révay, P. (2007). Service-oriented architecture is a driver for daily decision support. Kybernetes, 36(5/6), 622-635.
  19. Jalonen, H., & Lönnqvist, A. (2009). Predictive business–fresh initiative or old wine in a new bottle. Management Decision, 47(10), 1595-1609.
  20. Lee, C., Lau, H., Ho, G., & Ho, W. (2009). Design and development of agent-based procurement system to enhance business intelligence. Expert Systems with Applications, 36(1), 877-884.
  21. Lin, Y. H., Tsai, K. M., Shiang, W. J., Kuo, T. C., & Tsai, C. H. (2009). Research on using ANP to establish a performance assessment model for business intelligence systems. Expert Systems with Applications, 36(2), 4135-4146.
  22. Lönnqvist, A., & Pirttimäki, V. (2006). The measurement of business intelligence. Information Systems Management, 23(1), 32-40.
  23. Marinoni, O., Higgins, A., Hajkowicz, S., & Collins, K. (2009). The Multiple Criteria Analysis Tool (MCAT): A new software tool to support environmental investment decision making. Environmental Modelling & Software, 24(2), 153-164.
  24. Nemati, H. R., Steiger, D. M., Iyer, L. S., & Herschel, R. T. (2002). Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing. Decision Support Systems, 33(2), 143-161.
  25. Ozbayrak, M., & Bell, R. (2003). A knowledge-based decision support system for the management of parts and tools in FMS. Decision Support Systems, 35(4), 487-515.
  26. Petrini, M., & Pozzebon, M. (2008). What Role is “Business Intelligence” Playing in Developing Countries? Data mining applications for empowering knowledge societies, 241.
  27. Power, D. J. (2008). Understanding data-driven decision support systems. Information Systems Management, 25(2), 149-154.
  28. Power, D. J., & Sharda, R. (2007). Model-driven decision support systems: Concepts and research directions. Decision Support Systems, 43(3), 1044-1061.
  29. Quinn, N. W. T. (2009). Environmental decision support system development for seasonal wetland salt management in a river basin subjected to water quality regulation. agricultural water management, 96(2), 247-254.
  30. Raggad, B. G. (1997). Decision support system: use IT or skip IT. Industrial Management & Data Systems, 97(2), 43-50.
  31. Reich, Y., & Kapeliuk, A. (2005). A framework for organizing the space of decision problems with application to solving subjective, context-dependent problems. Decision Support Systems, 41(1), 1-19.
  32. Ross, J. J., Dena , M. A., & Mahfouf, M. (2009). A hybrid hierarchical decision support system for cardiac surgical intensive care patients. Part II. Clinical implementation and evaluation. Artificial Intelligence in Medicine, 45(1), 53-62.
  33. Sen, C. G., Baracli, H., Sen, S., & Basligil, H. (2009). An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection. Expert Systems with Applications, 36(3), 5272-5283.
  34. Shang, J., Tadikamalla, P. R., Kirsch, L. J., & Brown, L. (2008). A decision support system for managing inventory at GlaxoSmithKline. Decision Support Systems, 46(1), 1-13.
  35. Shi, Z., Huang, Y., He, Q., Xu, L., Liu, S., Qin, L., . . . Zhao, L. (2007). MSMiner--a developing platform for OLAP. Decision Support Systems, 42(4), 2016-2028.
  36. Tan, X., Yen, D. C., & Fang, X. (2003). Web warehousing: Web technology meets data warehousing. Technology in Society, 25(1), 131-148.
  37. Tsoukiàs, A. (2008). From decision theory to decision aiding methodology. European Journal of Operational Research, 187(1), 138-161.
  38. Wen, W., Chen, Y., & Pao, H. (2008). A mobile knowledge management decision support system for automatically conducting an electronic business. Knowledge-Based Systems, 21(7), 540-550.
  39. Xiaoshuan, Z., Zetian, F., Wengui, C., Dong, T., & Jian, Z. (2009). Applying evolutionary prototyping model in developing FIDSS: An intelligent decision support system for fish disease/health management. Expert Systems with Applications, 36(2), 3901-3913.
  40. Yang, I. (2008). Utility-based decision support system for schedule optimization. Decision Support Systems, 44(3), 595-605.
  41. Yu, L., Wang, S., & Lai, K. K. (2009). An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: the case of credit scoring. European Journal of Operational Research, 195(3), 942-959.
  42. Zack, M. H. (2007). The role of decision support systems in an indeterminate world. Decision Support Systems, 43(4), 1664-1674.
  43. Zhan, J., Loh, H. T., & Liu, Y. (2009). Gather customer concerns from online product reviews-A text summarization approach. Expert Systems with Applications, 36(2), 2107-2115.

 

  1. Alter, S. (2004). A work system view of DSS in its fourth decade. Decision Support Systems, 38(3), 319-327.
  2. Azadivar, F., Truong, T., & Jiao, Y. (2009). A decision support system for fisheries management using operations research and systems science approach. Expert Systems with Applications, 36(2), 2971-2978.
  3. Bartlett, M. S. (1950). Test of significance in factor analysis. British Journal of Psychology, 3, 77-85.
  4. Berzal, F., Cubero, J. C., & Jiménez, A. (2009). The design and use of the TMiner component-based data mining framework. Expert Systems with Applications, 36(4), 7882-7887.
  5. Bolloju, N., Khalifa, M., & Turban, E. (2002). Integrating knowledge management into enterprise environments for the next generation decision support. Decision Support Systems, 33(2), 163-176.
  6. Bose, R. (2009). Advanced analytics: opportunities and challenges. Industrial Management & Data Systems, 109(2), 155-172.
  7. Bucher, T., Gericke, A., & Sigg, S. (2009). Process-centric business intelligence. Business Process Management Journal, 15(3), 408-429.
  8. Cheng, H., Lu, Y. C., & Sheu, C. (2009). An ontology-based business intelligence application in a financial knowledge management system. Expert Systems with Applications, 36(2), 3614-3622.
  9. du Plessis, T., & du Toit, A. (2006). Knowledge management and legal practice. International journal of information management, 26(5), 360-371.
  10. Eckerson, W. W. (2010). Performance dashboards: measuring, monitoring, and managing your business: Wiley.
  11. Elbashir, M. Z., Collier, P. A., & Davern, M. J. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 9(3), 135-153.
  12. Evers, M. (2008). An analysis of the requirements for DSS on integrated river basin management. Management of Environmental Quality: An International Journal, 19(1), 37-53.
  13. Feng, Y. H., Teng, T. H., & Tan, A. H. (2009). Modelling situation awareness for Context-aware Decision Support. Expert Systems with Applications, 36(1), 455-463.
  14. Gao, S., & Xu, D. (2009). Conceptual modeling and development of an intelligent agent-assisted decision support system for anti-money laundering. Expert Systems with Applications, 36(2), 1493-1504.
  15. Ghoshal, S., & Kim, S. K. (1986). Building effective intelligence systems for competitive advantage. Sloan Management Review, 28(1), 49-58.
  16. González, J. R., Pelta, D. A., & Masegosa, A. D. (2009). A framework for developing optimization-based decision support systems. Expert Systems with Applications, 36(3), 4581-4588.
  17. Gottschalk, P. (2006). Expert systems at stage IV of the knowledge management technology stage model: The case of police investigations. Expert Systems with Applications, 31(3), 617-628.
  18. Granebring, A., & Révay, P. (2007). Service-oriented architecture is a driver for daily decision support. Kybernetes, 36(5/6), 622-635.
  19. Jalonen, H., & Lönnqvist, A. (2009). Predictive business–fresh initiative or old wine in a new bottle. Management Decision, 47(10), 1595-1609.
  20. Lee, C., Lau, H., Ho, G., & Ho, W. (2009). Design and development of agent-based procurement system to enhance business intelligence. Expert Systems with Applications, 36(1), 877-884.
  21. Lin, Y. H., Tsai, K. M., Shiang, W. J., Kuo, T. C., & Tsai, C. H. (2009). Research on using ANP to establish a performance assessment model for business intelligence systems. Expert Systems with Applications, 36(2), 4135-4146.
  22. Lönnqvist, A., & Pirttimäki, V. (2006). The measurement of business intelligence. Information Systems Management, 23(1), 32-40.
  23. Marinoni, O., Higgins, A., Hajkowicz, S., & Collins, K. (2009). The Multiple Criteria Analysis Tool (MCAT): A new software tool to support environmental investment decision making. Environmental Modelling & Software, 24(2), 153-164.
  24. Nemati, H. R., Steiger, D. M., Iyer, L. S., & Herschel, R. T. (2002). Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing. Decision Support Systems, 33(2), 143-161.
  25. Ozbayrak, M., & Bell, R. (2003). A knowledge-based decision support system for the management of parts and tools in FMS. Decision Support Systems, 35(4), 487-515.
  26. Petrini, M., & Pozzebon, M. (2008). What Role is “Business Intelligence” Playing in Developing Countries? Data mining applications for empowering knowledge societies, 241.
  27. Power, D. J. (2008). Understanding data-driven decision support systems. Information Systems Management, 25(2), 149-154.
  28. Power, D. J., & Sharda, R. (2007). Model-driven decision support systems: Concepts and research directions. Decision Support Systems, 43(3), 1044-1061.
  29. Quinn, N. W. T. (2009). Environmental decision support system development for seasonal wetland salt management in a river basin subjected to water quality regulation. agricultural water management, 96(2), 247-254.
  30. Raggad, B. G. (1997). Decision support system: use IT or skip IT. Industrial Management & Data Systems, 97(2), 43-50.
  31. Reich, Y., & Kapeliuk, A. (2005). A framework for organizing the space of decision problems with application to solving subjective, context-dependent problems. Decision Support Systems, 41(1), 1-19.
  32. Ross, J. J., Dena , M. A., & Mahfouf, M. (2009). A hybrid hierarchical decision support system for cardiac surgical intensive care patients. Part II. Clinical implementation and evaluation. Artificial Intelligence in Medicine, 45(1), 53-62.
  33. Sen, C. G., Baracli, H., Sen, S., & Basligil, H. (2009). An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection. Expert Systems with Applications, 36(3), 5272-5283.
  34. Shang, J., Tadikamalla, P. R., Kirsch, L. J., & Brown, L. (2008). A decision support system for managing inventory at GlaxoSmithKline. Decision Support Systems, 46(1), 1-13.
  35. Shi, Z., Huang, Y., He, Q., Xu, L., Liu, S., Qin, L., . . . Zhao, L. (2007). MSMiner--a developing platform for OLAP. Decision Support Systems, 42(4), 2016-2028.
  36. Tan, X., Yen, D. C., & Fang, X. (2003). Web warehousing: Web technology meets data warehousing. Technology in Society, 25(1), 131-148.
  37. Tsoukiàs, A. (2008). From decision theory to decision aiding methodology. European Journal of Operational Research, 187(1), 138-161.
  38. Wen, W., Chen, Y., & Pao, H. (2008). A mobile knowledge management decision support system for automatically conducting an electronic business. Knowledge-Based Systems, 21(7), 540-550.
  39. Xiaoshuan, Z., Zetian, F., Wengui, C., Dong, T., & Jian, Z. (2009). Applying evolutionary prototyping model in developing FIDSS: An intelligent decision support system for fish disease/health management. Expert Systems with Applications, 36(2), 3901-3913.
  40. Yang, I. (2008). Utility-based decision support system for schedule optimization. Decision Support Systems, 44(3), 595-605.
  41. Yu, L., Wang, S., & Lai, K. K. (2009). An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: the case of credit scoring. European Journal of Operational Research, 195(3), 942-959.
  42. Zack, M. H. (2007). The role of decision support systems in an indeterminate world. Decision Support Systems, 43(4), 1664-1674.
  43. Zhan, J., Loh, H. T., & Liu, Y. (2009). Gather customer concerns from online product reviews-A text summarization approach. Expert Systems with Applications, 36(2), 2107-2115.

 

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