An Empirical Study On The Preference Of Laptop In Malaysia With Analytic Hierarchy Process Model
DOI: 367 Downloads 8066 Views
Author(s)
Abstract
The existing of laptop is to make human life easier as it is light and portable. However, there are varieties of laptop brands in the market nowadays. The consumers need to consider multiple factors or decision criteria before they select a suitable laptop. Analytic Hierarchy Process (AHP) model is a technique that deals with multiple criteria decision making (MCDM) problem. AHP model can help to select the best alternative based on the preference of the decision makers. The objective of this study is to determine the priority of decision criteria in the selection of laptops among the students in Malaysia with AHP model. The decision criteria identified in this study are price, speed, weight, colour, design, warranty period and technical service. In addition, this paper aims to determine the most preferred laptop among Acer, Asus, Lenovo, Toshiba, Dell and MacBook with AHP model. The results of this study show that Acer is the most preferred laptop followed by Asus, Lenovo, Toshiba, Dell and MacBook among the students. Price, speed and warranty period are ranked as top three influential decision criteria in this study. The significance of this study is to determine the most preferred laptop as well as the most influential decision criteria in the selection of laptop among the students in Malaysia with AHP model.
Keywords
Laptop, Multi-Criteria Decision Making, Analytic Hierarchy Process, Priority, Students
Cite this paper
Lam Weng Siew, Chen Jia Wai, Lam Weng Hoe,
An Empirical Study On The Preference Of Laptop In Malaysia With Analytic Hierarchy Process Model
, SCIREA Journal of Computer.
Volume 1, Issue 2, December 2016 | PP. 127-141.
References
[ 1 ] | Tampi, Y.A.N., Pangemanan, S.S. and Tumewu, F.J., 2016. Consumer decision making in selecting laptop using Analytical Hierarchy Process (AHP) method. Jurnal EMBA, 4(1): 316-322. |
[ 2 ] | Srichetta, P. and Thurachon, W., 2012. Applying fuzzy analytic hierarchy process to evaluate and select product of notebook computers. International Journal of Modeling and Optimization, 2(2): 168-173. |
[ 3 ] | Kecek, G. and Demirağ, 2016. A comparative analysis of TOPSIS and MOORA in laptop selection. Research on Humanities and Social Sciences, 6(14): 1-9. |
[ 4 ] | Sharma, P., 2012. A study of brand choice of laptops by management and engineering students. International Refereed Research Journal, 3(4): 50-57 |
[ 5 ] | Rayhan, D.S.A., 2016. Selection of best laptop for educational purpose by using ANP. World Journal of Social Sciences, 6(2): 167-181. |
[ 6 ] | Lakshmi, T.M., Venkatesan, V.P. and Martin, A., 2015. Identification of a better laptop with conflicting criteria using TOPSIS. I.J. Information Engineering and Electronic Business, 6: 28-36. |
[ 7 ] | Saaty, T. L., 1980. The Analytic Hierarchy Process. New York, McGraw-Hill. |
[ 8 ] | McMullen, P.R., 2000. Selection of notebook personal computers using Data Envelopment Analysis. The Southern Business and Economic Journal, 23(3): 200-214. |
[ 9 ] | Mustakerov, I., Borissova, D. and Bantutov, E., 2012. Multiple-choice decision making by multicriteria combinatorial optimization. Advanced Modeling and Optimization, 14(3): 729-737 |
[ 10 ] | Dashore, K., Pawar, S.S., Sohani, N. and Verma, D.S., 2013. Product evaluation using entropy and multi criteria decision making methods. International Journal of Engineering Trends and Technology, 4(5): 2183-2187. |
[ 11 ] | Akarte, M. M., et al., 2001. Web based casting supplier evaluation using analytic hierarchy process. Journal of the Operational Research Society, 52(5): 511-522. |
[ 12 ] | Khan, M., Bharathi, S.V. and Londhe, B.R., 2015. Ranking the critical buying factors of private health insurance using analytic hierarchy process. Indian Journal of Science and Technology, 8(S6): 35-42. |
[ 13 ] | Jaberidoost, M., Olfat, L., Hosseini, A., Kebriaeezadeh, A., Abdollahi, M., Alaeddini, M. and Dinarvand, R., 2015. Pharmaceutical supply chain risk assessment in Iran using Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. Journal of Pharmaceutical Policy and Practice, 8(1), p.9. |
[ 14 ] | Cancela, J., Fico, G. and Waldmeyer, M.T.A., 2015. Using the Analytic Hierarchy Process (AHP) to understand the most important factors to design and evaluate a telehealth system for parkinson's disease. BMC Med Inform Decis Mak, 15(Suppl 3), p.S7. |
[ 15 ] | Yadav, S., Srivatava, A.K. and Singh, R.S., 2015. Selection and ranking of multifaceted criteria for the prioritization of most appropriate biomass energy sources for the production of renewable energy in Indian perspective using Analytic Hierarchy Process. International Journal of Engineering Technology Science and Research, 2: 89-98. |
[ 16 ] | Lam, W.S., Leong, W.B. and Lam, W.H., 2015. Selection of mobile network operator based on multi-criteria decision making model using Analytic Hierarchy Process. Mathematics and Statistics Journal, 1(1): 12-18. |
[ 17 ] | Lam, W. S., Chen, J. W. and Lam, W. H., 2016. An empirical study on the selection of fast food restaurants among the undergraduates with AHP model. American Journal of Information Science and Computer Engineering, 2(3): 15-21. |
[ 18 ] | Lam, W. S., Lee, W. K. and Lam, W. H., 2015. Multi-criteria decision making in job selection problem using Analytic Hierarchy Process model. Mathematics and Statistics Journal, 1(2): 3-7. |
[ 19 ] | Winston, W. L., 2004. Operations research and algorithms. Belmont, Brooks/Cole. |
[ 20 ] | Saaty, T.L., 2008. Decision making with the Analytic Hierarchy Process. Int. J. Services Sciences, 1(1): 83-98. |
[ 21 ] | Saaty, T. L., 1980. The Analytic Hierarchy Process. New York, McGraw-Hill. |