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Decision support system of discount pricing analysis using method of elimination et choix traduisant la realite (ELECTRE)

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The development of e-commerce site operators in Indonesia is now faced with intense competition for defending the market segment, especially regarding how e-commerce sites are attracting consumers through specic marketing strategies. This study implements a decision support system approach to help marketers to determine price discount alternatives using the Elimination et Choix Traduisant la Realite (ELECTRE) method. The ELECTRE method is widely recognized for having good performance in analyzing customer behavior criteria; however, there is little information about discount analysis using the ELECTRE method. This study implements a method for consumer behavior simulation that can be aected by the criteria to make a purchase on a simulated e-commerce website. Our model estimates three parts of the matrices' analysis: (a) average value of discounted price (DP); (b) average value of pro- duct brand (PB); and (c) average value of purchase decision (PD). We used these as the main alternatives; e.g., price discounts as rst alternative (A1), brand discount as second alternative (A2), and purchase discount as third alternative (A3). Based on the results of the dominant aggregation matrix, the study found that the results are dominated by brand discount (A2). In other words, it is recommended for the decision maker to focus their discount on certain brands more precisely as a marketing strategy than price discount or purchase discount.
Wydawca
Czasopismo
Rocznik
Strony
65--80
Opis fizyczny
Bibliogr. 20 poz., rys., wykr.
Twórcy
  • Tata Sistem Cahaya Cemerlang, http://tatasistemcahayacemerlang.com
autor
  • Tata Sistem Cahaya Cemerlang, http://www.tatasistemcahayacemerlang.com
Bibliografia
  • [1] Alden D.L., Friend J.M., Lee A.Y., de Vries M., Osawa R., Chen Q.: Culture and medical decision making: Healthcare consumer perspectives in Japan and the United States, Health Psychology, vol. 34(12), pp. 1133-1144, 2015.
  • [2] Amaro S., Duarte P.: An integrative model of consumers' intentions to purchase travel online, Tourism Management, vol. 46, pp. 64-69, 2015.
  • [3] Aydinli A., Bertini M., Lambrecht A.: Price promotion for emotional impact, Journal of Marketing, vol. 78(4), pp. 80-96, 2014.
  • [4] Cabrerizo F.J., Morente-Molinera J.A., Perez I.J., Lopez-Gijon J., Herrera- Viedma E.: A decision support system to develop a quality management in academic digital libraries, Information Sciences, vol. 323, pp. 48-58, 2015.
  • [5] Chamberlain B.C., Carenini G., Oberg G., Poole D., Taheri H.: A decision support system for the design and evaluation of sustainable wastewater solutions, IEEE Transactions on Computers, vol. 63(1), pp. 129-141, 2014.
  • [6] Flanagin A.J., Metzger M.J., Pure R., Markov A., Hartsell E.: Mitigating risk in ecommerce transactions: perceptions of information credibility and the role of user-generated ratings in product quality and purchase intention, Electronic Commerce Research, vol. 14(1), pp. 1-23, 2014.
  • [7] Frederiks E.R., Stenner K., Hobman E.V.: Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour, Renewable and Sustainable Energy Reviews, vol. 41, pp. 1385-1394, 2015.
  • [8] Gineikiene J., Schlegelmilch B.B., Auruskeviciene V.: "Ours" or "theirs"? Psychological ownership and domestic products preferences, Journal of Business Research, vol. 72, pp. 93-103, 2017.
  • [9] Gottschlich J., Hinz O.: A decision support system for stock investment recommendations using collective wisdom, Decision Support Systems, vol. 59, pp. 52-62, 2014.
  • [10] Korenevskiy N.: Application of fuzzy logic for decision-making in medical expert systems, Biomedical Engineering, vol. 49(1), pp. 46-49, 2015.
  • [11] Liu S., Chan F.T., Ran W.: Decision making for the selection of cloud vendor: An improved approach under group decision-making with integrated weights and objective/subjective attributes, Expert Systems with Applications, vol. 55, pp. 37-47, 2016.
  • [12] Mbaga M.H.: The Role of Sales Promotion in Consumer Buying Behaviour: The case of Tanzania Breweries Limited, Ph.D. thesis, Mzumbe University, 2015.
  • [13] McDonald M., Wilson H.: Marketing Plans: How to prepare them, how to profit from them, John Wiley & Sons, 2016.
  • [14] Miller K., Mansingh G.: OptiPres: a distributed mobile agent decision support system for optimal patient drug prescription, Information Systems Frontiers, vol. 19(1), pp. 129-148, 2017.
  • [15] Omar M.H., Nursal A.T., Nawi M.N.M., Haron A.T., Goh K.C.: A Preliminary Requirement of Decision Support System for Building Information Modelling Software Selection, Malaysian Construction Research Journal, vol. 15(2), pp. 11-28, 2014.
  • [16] Rosenbaum-Elliott R., Percy L., Pervan S.: Strategic brand management, Oxford University Press, USA, 2015.
  • [17] Sangaiah A.K., Gopal J., Basu A., Subramaniam P.R.: An integrated fuzzy DEMATEL, TOPSIS, and ELECTRE approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome, Neural Computing and Applications, vol. 28(1), pp. 111-123, 2017.
  • [18] Schmeling T., Rugh C., Fishel G., Burr J.: Sales promotion using product comparison, 2015. US Patent App. 14/750,507.
  • [19] Shafiee M.: A fuzzy analytic network process model to mitigate the risks associated with offshore wind farms, Expert Systems with Applications, vol. 42(4), pp. 2143-2152, 2015.
  • [20] Shook E., Turner V.K.: The socio-environmental data explorer (SEDE): a social media-enhanced decision support system to explore risk perception to hazard events, Cartography and Geographic Information Science, vol. 43(5), pp. 427-441, 2016.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f84738ed-86a3-4a1f-aef2-03dd80e5c094
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