DOI: 10.14704/nq.2018.16.3.1199

Research on the Evaluation and Decision-Making of Product Premium Based on Electroencephalography (EEG) Testing Technology

Xiaheng Zhang

Abstract


This paper aims to investigate the evaluation and decision-making of product premium based on actual materials of product premium in the market. To this end, the management economics was integrated with neuroscience to create an evaluation and decision-making model. Then, the model was applied to examine the evaluation and decision-making of product premium based on the electroencephalography (EEG) testing technology. A total of four premium stimulants were selected for the analysis, namely beverage, food, garment and home appliance. Through the behavior data and EEG data of the recipients, it is concluded that the well-known and little-known products shared a similar linear relationship between the LPW amplitude induced by the initial stimulant and the target stimulant; the premium of beverage products was evaluated much faster than that of food and garment; there is a significant linear relationship between the acceptance rate and response time in product premium similarity evaluation. The research findings shed new light on the evaluation and decision-making product premium.

Keywords


decision-making neurology; product premium; management economics; electroencephalography (EEG) testing

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References


Bruno RL, Douarin E, Korosteleva J, Radosevic S. Technology choices and growth: testing new structural economics in transition economies. Journal of Economic Policy Reform 2015; 18(2): 131-52.

Daly I, Sweeney-Reed CM, Nasuto SJ. Testing for significance of phase synchronisation dynamics in the EEG. Journal of Computational Neuroscience 2013; 34(3): 411-32.

Di Natale F, Carotenuto C, Manna L, Esposito M, La Motta F, D'addio L, Lancia A. Water electrified sprays for emission control in energy production processes. International Journal of Heat and Technology 2016; 34(Special Issue 2): S597-602.

Du Y, Chen Q, Mao N. The research of varıable productıon lıne ınto multı-channel. Academic Journal of Manufacturing Engineering 2015; 13(4): 6-12.

Hagsten MFE. Exporter productivity premium for european smes. Applied Economics Letters 2015;22(12):930-33.

Haque M, Biermacher JT, Kering MK, Guretzky JA. Economic evaluation of switchgrass feedstock production systems tested in potassium-deficient soils. Bioenergy Research 2014;7(1):260-67.

Ință M, Muntean A. Application of lean principles to optimize production. case study- connectors department of the harting company, Academic Journal of Manufacturing Engineering 2015; 13(2):42-47.

Malara A, Marino C, Nucara A, Pietrafesa M, Scopelliti F, Streva G. Energetic and economic analysis of shading effects on PV panels energy production, International Journal of Heat and Technology 2016; 34(3): 465-72.

Mcginty R, Bianchi G, Zaher O, Woolass S, Oliver D, Williams C. Techno-economic survey and design of a pilot test rig for a trilateral flash cycle system in a steel production plant. Energy Procedia 2017;123:281-88.

Mollick AV, Ibarra-Salazar J. Productivity effects on the wage premium of mexican maquiladoras. Economic Development Quarterly 2013;27(3):208-20.

Nuijten M. Valuation of healthcare innovation: a decision analytic valuation model for the assessment of the economic value of an innovative medicinal product. Journal of Biotechnology 2016; 231: S13-S13.

Olesen SS, Graversen C, Hansen TM, Blauenfeldt RA, Hansen JB, Steimle K. Spectral and dynamic electroencephalogram abnormalities are correlated to psychometric test performance in hepatic encephalopathy. Scandinavian Journal of Gastroenterology 2011; 46(7-8): 988-96.

Ponnampalam EN, Linden NP, Mitchell ML, Hopkins DL, Jacobs JL. Production systems to deliver premium grade lambs to the growing international and australian markets. Small Ruminant Research 2017;157:32-39.

Powell D, Wagner J. The exporter productivity premium along the productivity distribution: evidence from quantile regression with nonadditive firm fixed effects. Review of World Economics 2014; 150(4):763-85.

Pozharliev R, Verbeke WJMI, Strien JWV, Bagozzi RP. Merely being with you increases my attention to luxury products: using eeg to understand consumers’ emotional experience of luxury branded products. Journal of Marketing Research 2015; 52(4): 546-58.

Ren YL. Electroencephalogram recognition of imaginary right and left hand movements by brain-computer interface. Journal of Clinical Rehabilitative Tissue Engineering Research 2009; 13(17): 3370-74.

Rogers JM, Johnstone SJ, Aminov A, Donnelly J, Wilson PH. Test-retest reliability of a single-channel, wireless eeg system. International Journal of Psychophysiology Official 2016; 106:87-96.

Sharma R, Pachori RB, Acharya UR. An integrated index for the identification of focal electroencephalogram signals using discrete wavelet transform and entropy measures. Entropy 2015; 17(8): 5218-40.

Student TKPSR, Sriraam N. Comparison of t-test ranking with pca and sepcor feature selection for wake and stage 1 sleep pattern recognition in multichannel electroencephalograms. Biomedical Signal Processing & Control 2017; 31: 499-512.

Tienhaara A, Ahtiainen H, Pouta E. Consumer and citizen roles and motives in the valuation of agricultural genetic resources in finland. Ecological Economics 2015;114:1-10.

Zaccone R, Sacile R, Fossa M. Energy modelling and decision support algorithm for the exploitation of biomass resources in industrial districts, International Journal of Heat and Technology 2017; 35(S1): S322-S29.

Zhang P, Su Q, Li C, Wang T. An economically designed sequential probability ratio test control chart for short-run production. Computers & Industrial Engineering 2014; 78(C):74-83.


Supporting Agencies

Supported by the special research program of Shaanxi provincial department of education of the “Operational Mechanism and Implementation Path of E-commerce in Rural Areas under the Precision Poverty Reduction Strategy” (17JK0795).



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