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Year 2018, Volume: 7 Issue: 1, 181 - 185, 01.09.2018
https://doi.org/10.17261/Pressacademia.2018.877

Abstract

References

  • Aier, S., Fischer, C. (2011). Criteria of progress for information systems design theories. Information Systems E-Business Management 9, 133-172.
  • Blake, R., Mangiameli, P. (2013). An information systems design theory for strategic decision systems: the case of a candy manufacturer. Northeast Decision Sciences Institute Annual Meeting Proceedings
  • Chandra C., Grabis, J. (2008). Information technology support for integrated supply chain modeling. Human Systems Management 27, 3–13.
  • Druzdzel, M. J., Flynn, R. R. (2002). Decision support systems. Second Edition, Marcel Dekker, Inc.
  • Hornbaek, K. (2006). Current practice in measuring usability: challenges to studies and research. International Journal of Human-Computer Studies, 64(2), 79–102.
  • Irani, Z., Sharif, A., Kamal, M. M., E. D. Love, P. (2014). Visualising a knowledge mapping of information systems investment evaluation. Expert Systems with Applications 41, 105–125.
  • Khademolqorani, S., Hamadani, A. (2013). An adjusted decision support system through data mining and multiple criteria decision making. The 2nd International Conference on Integrated Information, Procedia - Social and Behavioral Sciences 73, 388 – 395.
  • Kim, Y. J., Sanders, G. L. (2002). Strategic actions in information technology investment based on real option theory. Decision Support Systems 33, 1–11.
  • Klein, M. (1995). iDCSS: Integrating workflow, conflict and rationale-based concurrent engineering coordination technologies. Concurrent Engineering: Research and Applications 3/1, pp. 21-27.
  • Laudon K. C., Laudon, J. P. (1988). Management information systems, a contemporary perspective. 3rd ed. Collier Macmillan, New York, 784 p., ISBN-13: 978-0023681011
  • Liu, S., Duffy A. H. B., Whitfield, R. I., Boyle, I. M. (2009). Integration of decision support systems to improve decision support performance. Knowledge and Information Systems, 22 (3), 261-286.
  • Meigs, R. F. (1993). Accounting; the basis for basic decisions. McGraw-Hill. NewYork, 159 p., ISBN-13: 978-0070416406
  • Mukesh, S. (1997). Defect prevention: reducing cost and improving quality. IEEE Computer 30(8).
  • Pan, T., Zheng, L., Fang, C. (2008). Defect tracing system based on orthogonal defect classification. Computer Engineering and Applications, 43, 9-10.
  • Remenyi, D., Money, A., Sherwood-Smith, M., Irani, Z. (2000). The effective measurement and management of IT costs and benefits (2nd ed.). UK: Butterworth Heinemann.
  • Sauro, J., Kindlund, E. (2005). A method to standardize usability metrics into a single score. CHI Papers: Methods & Usability, 401–409.
  • Sauter, V. L. (1997). Decision support systems: an applied managerial approach. John Wiley & Sons, Inc.
  • Soroor, J., Tarokh, M. J., Keshtgary, M. (2009). Preventing failure in IT-enabled systems for supply chain management. International Journal of Production Research, 47 (23), 6543–6557.
  • Suma, V., Gopalakrishnan Nair, T. R. (2008). Effective defect prevention approach in software process for achieving better quality levels. Proceedings of World Academy of Science, Engineering and Technology 32, - August 2008
  • UNESCO. (2005). Education for all – global monitoring report 2006. UNESCO, France.
  • UNESCO. (2002). Information and communication technologies in teacher education. A Planning Guide. http://www.ifip-tc3.net/IMG/pdf/unesconikki129533e.pdf accessed 10.10.2017.

EVALUATION ON IMPACTS OF INFORMATION-DECISION SUPPORT SYSTEMS FOR SUSTAINABILITY OF BUSINESS DEVELOPMENT: A CASE STUDY IN A FIRM

Year 2018, Volume: 7 Issue: 1, 181 - 185, 01.09.2018
https://doi.org/10.17261/Pressacademia.2018.877

Abstract

Purpose- This study presents how the structure of information systems can be supported efficaciously in terms of strategic advantage.

Methodology- This research involves a view about the structure of information systems, decision analysis, sustainability of decision support systems and process development according to the defect analysis and also an implementation with a case study in a firm.

Findings- The results according to this topic, A vital component of the response is that business was presented with different perspectives-approaches in order to integrate innovation and technology to the disposition of the issue-dilemma. Information is used to make decisions. Decision- making structure was applied to identify and understand information system problems of the company. A Model of the information system was suggested to solve the problems and dilemmas in the business.

Conclusion- In this research, The suggested model-structure is closely integrated into the organizational framework, strategic rotation, political modifies, management levels and work system. it supports to obtain new facilities, and also provides to sustain market share and development.

References

  • Aier, S., Fischer, C. (2011). Criteria of progress for information systems design theories. Information Systems E-Business Management 9, 133-172.
  • Blake, R., Mangiameli, P. (2013). An information systems design theory for strategic decision systems: the case of a candy manufacturer. Northeast Decision Sciences Institute Annual Meeting Proceedings
  • Chandra C., Grabis, J. (2008). Information technology support for integrated supply chain modeling. Human Systems Management 27, 3–13.
  • Druzdzel, M. J., Flynn, R. R. (2002). Decision support systems. Second Edition, Marcel Dekker, Inc.
  • Hornbaek, K. (2006). Current practice in measuring usability: challenges to studies and research. International Journal of Human-Computer Studies, 64(2), 79–102.
  • Irani, Z., Sharif, A., Kamal, M. M., E. D. Love, P. (2014). Visualising a knowledge mapping of information systems investment evaluation. Expert Systems with Applications 41, 105–125.
  • Khademolqorani, S., Hamadani, A. (2013). An adjusted decision support system through data mining and multiple criteria decision making. The 2nd International Conference on Integrated Information, Procedia - Social and Behavioral Sciences 73, 388 – 395.
  • Kim, Y. J., Sanders, G. L. (2002). Strategic actions in information technology investment based on real option theory. Decision Support Systems 33, 1–11.
  • Klein, M. (1995). iDCSS: Integrating workflow, conflict and rationale-based concurrent engineering coordination technologies. Concurrent Engineering: Research and Applications 3/1, pp. 21-27.
  • Laudon K. C., Laudon, J. P. (1988). Management information systems, a contemporary perspective. 3rd ed. Collier Macmillan, New York, 784 p., ISBN-13: 978-0023681011
  • Liu, S., Duffy A. H. B., Whitfield, R. I., Boyle, I. M. (2009). Integration of decision support systems to improve decision support performance. Knowledge and Information Systems, 22 (3), 261-286.
  • Meigs, R. F. (1993). Accounting; the basis for basic decisions. McGraw-Hill. NewYork, 159 p., ISBN-13: 978-0070416406
  • Mukesh, S. (1997). Defect prevention: reducing cost and improving quality. IEEE Computer 30(8).
  • Pan, T., Zheng, L., Fang, C. (2008). Defect tracing system based on orthogonal defect classification. Computer Engineering and Applications, 43, 9-10.
  • Remenyi, D., Money, A., Sherwood-Smith, M., Irani, Z. (2000). The effective measurement and management of IT costs and benefits (2nd ed.). UK: Butterworth Heinemann.
  • Sauro, J., Kindlund, E. (2005). A method to standardize usability metrics into a single score. CHI Papers: Methods & Usability, 401–409.
  • Sauter, V. L. (1997). Decision support systems: an applied managerial approach. John Wiley & Sons, Inc.
  • Soroor, J., Tarokh, M. J., Keshtgary, M. (2009). Preventing failure in IT-enabled systems for supply chain management. International Journal of Production Research, 47 (23), 6543–6557.
  • Suma, V., Gopalakrishnan Nair, T. R. (2008). Effective defect prevention approach in software process for achieving better quality levels. Proceedings of World Academy of Science, Engineering and Technology 32, - August 2008
  • UNESCO. (2005). Education for all – global monitoring report 2006. UNESCO, France.
  • UNESCO. (2002). Information and communication technologies in teacher education. A Planning Guide. http://www.ifip-tc3.net/IMG/pdf/unesconikki129533e.pdf accessed 10.10.2017.
There are 21 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Aysenur Erdil 0000-0002-6413-7482

Publication Date September 1, 2018
Published in Issue Year 2018 Volume: 7 Issue: 1

Cite

APA Erdil, A. (2018). EVALUATION ON IMPACTS OF INFORMATION-DECISION SUPPORT SYSTEMS FOR SUSTAINABILITY OF BUSINESS DEVELOPMENT: A CASE STUDY IN A FIRM. PressAcademia Procedia, 7(1), 181-185. https://doi.org/10.17261/Pressacademia.2018.877
AMA Erdil A. EVALUATION ON IMPACTS OF INFORMATION-DECISION SUPPORT SYSTEMS FOR SUSTAINABILITY OF BUSINESS DEVELOPMENT: A CASE STUDY IN A FIRM. PAP. September 2018;7(1):181-185. doi:10.17261/Pressacademia.2018.877
Chicago Erdil, Aysenur. “EVALUATION ON IMPACTS OF INFORMATION-DECISION SUPPORT SYSTEMS FOR SUSTAINABILITY OF BUSINESS DEVELOPMENT: A CASE STUDY IN A FIRM”. PressAcademia Procedia 7, no. 1 (September 2018): 181-85. https://doi.org/10.17261/Pressacademia.2018.877.
EndNote Erdil A (September 1, 2018) EVALUATION ON IMPACTS OF INFORMATION-DECISION SUPPORT SYSTEMS FOR SUSTAINABILITY OF BUSINESS DEVELOPMENT: A CASE STUDY IN A FIRM. PressAcademia Procedia 7 1 181–185.
IEEE A. Erdil, “EVALUATION ON IMPACTS OF INFORMATION-DECISION SUPPORT SYSTEMS FOR SUSTAINABILITY OF BUSINESS DEVELOPMENT: A CASE STUDY IN A FIRM”, PAP, vol. 7, no. 1, pp. 181–185, 2018, doi: 10.17261/Pressacademia.2018.877.
ISNAD Erdil, Aysenur. “EVALUATION ON IMPACTS OF INFORMATION-DECISION SUPPORT SYSTEMS FOR SUSTAINABILITY OF BUSINESS DEVELOPMENT: A CASE STUDY IN A FIRM”. PressAcademia Procedia 7/1 (September 2018), 181-185. https://doi.org/10.17261/Pressacademia.2018.877.
JAMA Erdil A. EVALUATION ON IMPACTS OF INFORMATION-DECISION SUPPORT SYSTEMS FOR SUSTAINABILITY OF BUSINESS DEVELOPMENT: A CASE STUDY IN A FIRM. PAP. 2018;7:181–185.
MLA Erdil, Aysenur. “EVALUATION ON IMPACTS OF INFORMATION-DECISION SUPPORT SYSTEMS FOR SUSTAINABILITY OF BUSINESS DEVELOPMENT: A CASE STUDY IN A FIRM”. PressAcademia Procedia, vol. 7, no. 1, 2018, pp. 181-5, doi:10.17261/Pressacademia.2018.877.
Vancouver Erdil A. EVALUATION ON IMPACTS OF INFORMATION-DECISION SUPPORT SYSTEMS FOR SUSTAINABILITY OF BUSINESS DEVELOPMENT: A CASE STUDY IN A FIRM. PAP. 2018;7(1):181-5.

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