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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 4    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 4, April 2011 Edition
An Assessment model for Intelligence Competencies of Accounting Information Systems
Full Text(PDF, 3000)  PP.  
Mehdi Ghazanfari, Mostafa Jafari, Saeed Rouhani
Business Intelligence; Decision Support; Accounting Information Systems; Assessment Model
Accounting Information Systems (AIS) as computer-based systems that processes financial information and supports decision tasks have been implemented in most organizations but, but they still encounter a lack of Intelligence in their decision-making processes. Models and methods to evaluate and assess the Intelligence-level of Accounting Information Systems can be useful in deploying suitable business intelligence (BI) services. This paper discusses BI Assessment criteria, fundamental structure and factors used in the Assessment model. Factors and the proposed model can assess the intelligence of Accounting Information Systems to achieve enhanced decision support in organizations. The statistical analysis identified five factors of the Assessment model. This model helps organizations to design, buy and implement Accounting Information Systems for better decision support. The study also provides criteria to help organizations and software vendors implement AIS from decision support perspectives.
[1] Abernethy MA, Vagnoni E. Power, 2004. Organization design and managerial behaviour. Account Organ Soc ;29(3/4):207–25.

[2] Alter, S., 2004. A work system view of DSS in its fourth decade. Decision Support Systems, 38(3), 319-327.

[3] Anders Rom, Carsten Rohde, 2007. Management accounting and integrated information systems: A literature review, International Journal of Accounting Information Systems 8 40–68

[4] Arnold V, Collier PA, Leech SA, Sutton SG. Impact of intelligent decision aids on expert and novice decisionmakers'judgments. Account Finance 2004;44(1):1–26.

[5] Azadivar, F., Truong, T. and Jiao, Y., 2009. A decision support system for fisheries management using operations research and systems science approach, Expert Systems with Applications 36: 2971–2978.

[6] Bartlett, M.S., 1950. Test of significance in factor analysis, British Journal of Psychology, Vol. 3, 77-85.

[7] Berson, A., & Smith, S., 1997. Data warehousing, data mining, and OLAP: McGraw-Hill, Inc. New York, NY, USA.

[8] Birnberg, J. G., & Shields, J. F. (1989). Three decades of behavioral accounting research: A search for order. Beha-vioral Research in Accounting, 1, 23±74.

[9] Bolloju, N., Khalifa, M. and Turban, E., 2002. Integrating knowledge management into enterprise environments for the next generation decision support, Decision Support Systems 33: 163– 176.

[10] Bose, R., 2009. Advanced analytics: opportunities and challenges, Industrial Management & Data Systems, Vol. 109, No. 2, 155-172.

[11] Bouwens, J., & Abernethy, M. A. (2000). The Consequences of Customization on Management Accounting System Design. Accounting, Organizations and Society, 25(3), 221–241.

[12] Courtney, J.F., 2001. Decision making and knowledge management in inquiring organizations: toward a new decisionmaking paradigm for DSS, Decision Support Systems 31: 17–38.

[13] Damart, S., Dias, L. and Mousseau, V., 2007. Supporting groups in sorting decisions: Methodology and use of a multi-criteria aggregation/disaggregation DSS, Decision Support Systems 43: 1464–1475.

[14] David JS, Gerard GJ,McCarthyWE. Design science: anREAperspective on the future of AIS. In:ArnoldV, Sutton SG, editors. Researching accounting as an information systems discipline. Sarasota, FL, USA: American AccountingAssociation; 2002.

[15] Delorme, X., Gandibleux, X. and Rodríguez, J., 2009. Stability evaluation of a railway timetable at station level, European Journal of Operational Research 195: 780–790.

[16] Denna EL, Cherrington JO, Andros DP, Hollander AS. Eventdriven business solutions. Homewood, IL, USA: Business One Irwin; 1993.

[17] Eckerson , W., 2005. Performance dashboards: Measuring, monitoring, and managing your business. Wiley Press.

[18] Elbashir, M., Collier, P. and Davern, M., 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.

[19] Eom, S., 1999. Decision support systems research: current state and trends, Industrial Management & Data Systems 99/5 213±220.

[20] Evers, M., 2008. An analysis of the requirements for DSS on integrated river basin management, Management of Environmental Quality: An International Journal Vol. 19 No. 1, pp. 37- 53.

[21] Fazlollahi, B. and Vahidov, R., 2001. Extending the effectiveness of simulation-based DSS through genetic algorithms, Information & Management 39: 53-65.

[22] Feng, Y., Teng, T. and Tan, A., 2009. Modelling situation awareness for Context-aware Decision Support, Expert Systems with Applications 36: 455–463.

[23] Galasso, F. and Thierry, C., 2008. Design of cooperative processes in a customer–supplier relationship: An approach based on simulation and decision theory, Engineering Applications of Artificial Intelligence.

[24] Gao, S. and Xu, D., 2009. Conceptual modeling and development of an intelligent agent-assisted decision support system for anti-money laundering, Expert Systems with Applications 36: 1493–1504.

[25] Geerts GL, McCarthy WE. An ontological analysis of the economic primitives of the extended REA enterprise information architecture. Int J Account Inf Syst 2002;3(1):1–16.

[26] Gelinas UJ, Sutton SG, Hunton JE. Accounting information systems. 6th edition. Thomson, OH, USA: South-Western;

[27] 2005.

[28] Ghoshal, S. and Kim, S.K., 1986. Building Effective Intelligence Systems for Competitive Advantage, Sloan Management Review, Vol. 28, No. 1, 49–58.

[29] Gonnet, S., Henning, G. and Leone, H., 2007. A model for capturing and representing the engineering design process, Expert Systems with Applications 33: 881–902.

[30] González, J.R., Pelta, D.A. and Masegosa, A.D., 2008. A framework for developing optimization-based decision support systems, Expert Systems with Applications.

[31] 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: 617–628.

[32] Goul, M. and Corral, K., 2007. Enterprise model management and next generation decision support, Decision Support Systems 43: 915– 932.

[33] Güngör Sen, C., Baraçlı, H., Sen, S. and Baslıgil, H., 2008. An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection, Expert Systems with Applications.

[34] Hair, J.F., Anderson, R.E., Tatham, R.L. and Black, W.C., 1998. Multivariate Data Analysis, Prentice-Hall, Upper Saddle River, NJ, 7-232.

[35] Hedgebeth, D., 2007. Data-driven decision making for the enterprise: an overview of business intelligence applications, The journal of information and knowledge management systems Vol. 37 No. 4, 414-420.

[36] Hemsley-Brown, J., 2005. Using research to support management decision making within the field of education, Management Decision Vol. 43 No. 5, pp. 691-705.

[37] Hewett, C., Quinn, P., Heathwaite, A.L., Doyle, A., Burke, S., Whitehead, P. and Lerner, D., 2009. A multi-scale framework for strategic management of diffuse pollution, Environmental Modelling & Software 24: 74–85.

[38] Hotteling, H., 1935. The most predictable criterion, Journal of Educational Psyhology, Vol. 26, 139-142.

[39] Kaiser, H., 1958. The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23(3), 187-200.

[40] Koo, L.Y., Adhitya, A., Srinivasan, R. and Karimi, I.A., 2008. Decision support for integrated refinery supply chains Part 2. Design and operation, Computers and Chemical Engineering 32: 2787–2800.

[41] Koutsoukis, N., Dominguez-Ballesteros, B., Lucas, C.A. and Mitra, G., 2000. A prototype decision support system for strategic planning under uncertainty, International Journal of Physical Distribution & Logistics Management, Vol. 30 No. 7/8, 640- 660.

[42] Kwon, O., Kim, K. and Lee, K.C., 2007. MM-DSS: Integrating multimedia and decision-making knowledge in decision support systems, Expert Systems with Applications 32: 441–457.

[43] Lamptey, G., Labi, S. and Li, Z., 2008. Decision support for optimal scheduling of highway pavement preventive maintenance within resurfacing cycle, Decision Support Systems 46: 376–387.

[44] Lee, J. and Park, S., 2005. Intelligent profitable customers segmentation system based on business intelligence tools, Expert Systems with Applications 29: 145–152.

[45] Li, D., Lin, Y. and Huang, Y., 2009. Constructing marketing decision support systems using data diffusion technology: A case study of gas station diversification, Expert Systems with Applications 36: 2525–2533.

[46] Li, S., Shue, L. and Lee, S., 2008. Business intelligence approach to supporting strategy-making of ISP service management, Expert Systems with Applications 35: 739–754.

[47] Likert, R., 1974. The method of constructing an attitude scale, in Maranell, G.M. (Ed.), Scaling: A Sourcebook for Behavioral Scientists, Aldine Publishing Company, Chicago, IL, 21-43.

[48] Lin, Y., Tsai, K., Shiang, W., Kuo, T. and Tsai, C., 2009. Research on using ANP to establish a performance assessment model for business intelligence systems, Expert Systems with Applications 36: 4135–4146.

[49] Loebbecke, C. and Huyskens, C., 2007. Development of a model- based netsourcing decision support system using a five-stage methodology, European Journal of Operational Research.

[50] Lönnqvist, A. and Pirttimäki, V., 2006. The Measurement of Business Intelligence, Information Systems Management, 23:1, 32–40.

[51] Makropoulos, C.K., Natsis, K., Liu, S., Mittas, K. and Butler, D., 2008, Decision support for sustainable option selection in integrated urban water management, Environmental Modelling & Software 23: 1448–1460.

[52] Maria, F., 2005. Improving the utilization of external strategic information. Tampere University of Technology, Master of Science Thesis.

[53] Marinoni, O., Higgins, A., Hajkowicz, S. and Collins, K, 2009. The multiple criteria analysis tool (MCAT): A new software tool to support environmental investment decision making, Environmental Modelling & Software 24: 153–164.

[54] Metaxiotis, K., Psarras, J. and Samouilidis, E., 2003, Integrating fuzzy logic into decision support systems: current research and future prospects, Information Management & Computer Security 11/2, 53-59.

[55] McCarthy WE. An entity-relationship view of accounting models. Account Rev 1979;54(4):667–86.

[56] McCarthy WE. The REA accounting model: a generalized framework for accounting systems in a shared data environment. Account Rev 1982;57(3):554–78.

[57] Nemati, H., Steiger, D., Iyer, L. and Herschel, R., 2002. Knowledge warehouse: an architectural integration of knowledge management, decision support, artif icial intelligence and data warehousing, Decision Support Systems 33: 143– 161.

[58] Nie, G., Zhang, L., Liu, Y., Zheng, X. and Shi, Y., 2008. Decision analysis of data mining project based on Bayesian risk, Expert Systems with Applications.

[59] Noori, B. and Salimi, M.H., 2005. A decision-support system for business-to-business marketing, Journal of Business & Industrial Marketing 20/4/5: 226–236.

[60] Nylund, A., 1999. Tracing the BI Family Tree. Knowledge Management.

[61] O¨ zbayrak, M. and Bell, R., 2003. A knowledge-based decision support system for the management of parts and tools in FMS, Decision Support Systems 35: 487– 515.

[62] Petrini, M. and Pozzebon, M., 2008. What role is ‘‘Business Intelligence” playing in developing countries? A picture of Brazilian companies. In: Rahman, Hakikur (Eds.), Data Mining Applications for Empowering Knowledge Societies, IGI Global, 237–257.

[63] Phillips-Wren, G., Hahn, E. and Forgionne, G., 2004. A multiple- criteria framework for evaluation of decision support systems, Omega 32: 323 – 332.

[64] Phillips-Wren, G., Mora, M., Forgionne, G.A. and Gupta, J.N.D., 2007. An integrative evaluation framework for intelligent decision support systems, European Journal of Operational Research.

[65] Pitty, S., Li, W., Adhitya, A., Srinivasan, R. and Karimi, I.A., 2008. Decision support for integrated refinery supply chains Part 1. Dynamic simulation, Computers and Chemical Engineering 32: 2767–2786.

[66] Plessis, T. and Toit, A.S.A., 2006. Knowledge management and legal practice, International Journal of Information Management 26: 360–371.

[67] Power, D. and Sharda, R., 2007. Model-driven decision support systems: Concepts and research directions, Decision Support Systems 43: 1044– 1061.

[68] Power, D.J., 2008.Understanding Data-Driven Decision Support Systems, Information Systems Management, 25:2, 149 — 154.

[69] 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, 247 – 254.

[70] Raggad, B.G., 1997. Decision support system: use IT or skip IT, Industrial Management & Data Systems 97/2: 43–50.

[71] Ranjan, J., 2008. Business justification with business intelligence, VINE: The journal of information and knowledge management systems, Vol. 38, No. 4, 461-475.

[72] Reich, Y. and 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 – 19.

[73] Ross, J.J., Denaı¨, M.A. and Mahfouf, M., 2008. A hybrid hierarchical decision support system for cardiac surgical intensive care patients. Part II. Clinical implementation and evaluation, Artificial Intelligence in Medicine.

[74] Santhanam, R. and Guimaraes, T., 1995. Assessing the quality of institutional DSS, European Journal of Information Systems 4 (3).

[75] Shang, J., Tadikamalla, P., Kirsch, L. and Brown, L., 2008. A decision support system for managing inventory at GlaxoSmithKline, Decision Support Systems.

[76] Shi, Z., Huang, Y., He, Q., Xu. L., Liu, S., Qin, L., Jia, Z., Li, J., Huang, H. and Zhao, L., 2007.MSMiner—a developing platform for OLAP, Decision Support Systems 42: 2016– 2028.

[77] Shim, J., Warkentin,M., Courtney, J., Power, D., Sharda, R. and Carlsson, C., 2002. Past, present, and future of decision support technology, Decision Support Systems 33: 111 –126.

[78] Sutton SG, Arnold V. Foundations and frameworks for AIS research. In: Arnold V, Sutton SG, editors. Researching accounting as an information systems discipline. Sarasota, FL, USA: American Accounting Association; 2002.

[79] Wadhwa, S., Madaan, J. and Chan, F.T.S., 2009. Flexible decision modeling of reverse logistics system: A value adding MCDM approach for alternative selection, Robotics and Computer- Integrated Manufacturing 25: 460–469.

[80] Yu, L., Wang, S. and Lai, 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: 942–959.

[81] Zack, M., 2007. The role of decision support systems in an indeterminate world, Decision Support Systems 43: 1664–1674.

[82] Zhan, J., Loh, H.T. and Liu, Y., 2009. Gather customer concerns from online product reviews – A text summarization approach, Expert Systems with Applications 36: 2107–2115.

[83] Zhang, X., Fu, Z., Cai, W., Tian, D. and Zhang, J., 2009. Applying evolutionary prototyping model in developing FIDSS: An intelligent decision support system for fish disease/health management, Expert Systems with Applications 36: 3901–3913.

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