Hedonic shopping rent valuation by one-to-one neuromarketing and neutrosophic PROMETHEE method

Abstract One-to-one marketing emphasises personalised client fulfilment, explicitly as per personal interests. It is client-centred. The integration of quantitative and qualitative criteria can assess marketing value. Calculations relevant to marketing employ quantitative (objective, structured) and qualitative (subjective, unstructured) data. Regardless, globally, assessment of marketing value rarely includes criteria of the emotional and physiological states of potential buyers along with their valence and arousal and their affective attitudes. Upon evaluating these parameters, the implementation of the one-to-one marketing process would be more accurate and more effective. The purpose of this research was to determine the hedonic value by applying the Neutrosophic PROMETHEE Method used in one-to-one marketing including the data gathered during the VINERS Project on the emotional and physiological states, valence and arousal and affective attitudes of potential buyers. The hypothesis posed in this research is that the sales site rental price; customer satisfaction; indicators of economy, aesthetics and attractiveness; social and psychological data on customers and indicators of the purchasing process and emotional factors all interrelate with hedonic value. The hypothesis proposed during the time of research proved correct with the application of the neutrosophic PROMETHEE method. The results gained by this research permit asserting that seeking to increase the effectiveness of one-to-one marketing, it is necessary to analyse the emotional and physiological states, valence and arousal and the affective attitudes of potential buyers. The purpose of a case study was to determine the hedonic value of Sales Site a 1 on Pilies St. 1 and Sales Site a 2 on Lukiskių Square during the Kaziuko Fair in Vilnius.

[1]  Judy A. Siguaw,et al.  Formative versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration , 2006 .

[2]  Kevin E. Voss,et al.  Measuring the Hedonic and Utilitarian Dimensions of Consumer Attitude , 2003 .

[3]  Feray Adiguzel,et al.  Shopping enjoyment to the extreme: Hedonic shopping motivations and compulsive buying in developed and emerging markets , 2017 .

[4]  Panos E. Kourouthanassis,et al.  Sense and sensibility in personalized e‐commerce: How emotions rebalance the purchase intentions of persuaded customers , 2017 .

[5]  Ilias O. Pappas,et al.  User experience in personalized online shopping: a fuzzy-set analysis , 2018, European Journal of Marketing.

[6]  Dezheng Zhang,et al.  Correlation between hedonic liking and facial expression measurement using dynamic affective response representation. , 2018, Food research international.

[7]  Riyad Eid,et al.  Measuring the perceived value of malls in a non-Western context: the case of the UAE , 2015 .

[8]  Sandor Czellar,et al.  Engineering Hedonic Attributes to Generate Perceptions of Luxury: Consumer Perception of an Everyday Sound , 2003 .

[9]  J. Russell.  Core affect and the psychological construction of emotion. , 2003, Psychological review.

[10]  Kyungho Lee,et al.  Usability Evaluation Model for Biometric System considering Privacy Concern Based on MCDM Model , 2019, Secur. Commun. Networks.

[11]  J. Russell.  A circumplex model of affect. , 1980 .

[12]  William R. Darden,et al.  Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value , 1994 .

[13]  Eric T. G. Wang,et al.  Understanding Web-based learning continuance intention: The role of subjective task value , 2008, Inf. Manag..

[14]  Jonghyuk Kim,et al.  Store layout optimization using indoor positioning system , 2017, Int. J. Distributed Sens. Networks.

[15]  Chris Hand,et al.  Understanding multichannel shopper journey configuration: An application of goal theory , 2018, Journal of Retailing and Consumer Services.

[16]  Dilip Kumar Pratihar,et al.  Top-N Recommendation using Bi-Level Collaborative Filtering , 2017, 2017 Ninth International Conference on Advanced Computing (ICoAC).

[17]  Kevin Lane Keller.  Conceptualizing, Measuring, and Managing Customer-Based Brand Equity , 1993 .

[18]  J. Wessberg,et al.  Coding of pleasant touch by unmyelinated afferents in humans , 2009, Nature Neuroscience.

[19]  Liv Osland,et al.  An Application of Spatial Econometrics in Relation to Hedonic House Price Modelling , 2010 .

[20]  Pradeep K. Atrey,et al.  Personality assessment using multiple online social networks , 2015, Multimedia Tools and Applications.

[21]  Glen L. Urban,et al.  Online Trust: State of the Art, New Frontiers, and Research Potential , 2009 .

[22]  Don Peppers,et al.  The One to One Manager: Real-World Lessons in Customer Relationship Management , 1999 .

[23]  Wei-Po Lee,et al.  Tracking and recognizing emotions in short text messages from online chatting services , 2018, Inf. Process. Manag..

[24]  Fernando A. F. Ferreira,et al.  A multiple criteria information system for pedagogical evaluation and professional development of teachers , 2015, J. Oper. Res. Soc..

[25]  Hye-Young Kim,et al.  Consumer need for mobile app atmospherics and its relationships to shopper responses , 2019, Journal of Retailing and Consumer Services.

[26]  Mariko Morimoto,et al.  Stay Away From Me , 2012 .

[27]  Michael Groß,et al.  Mobile shopping loyalty: The salient moderating role of normative and functional compatibility beliefs , 2018, Technology in Society.

[28]  Alexander Chernev,et al.  Extremeness Aversion and Attribute-Balance Effects in Choice , 2004 .

[29]  Burcu Ilter,et al.  Private label usage and store loyalty: The moderating impact of shopping value , 2016 .

[30]  Armando Cartenì,et al.  Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities , 2017 .

[31]  Jialiang Huang,et al.  Timing of web personalization in mobile shopping: A perspective from Uses and Gratifications Theory , 2018, Comput. Hum. Behav..

[32]  M. Bradley,et al.  Affective reactions to acoustic stimuli. , 2000, Psychophysiology.

[33]  Chengzhi Zhang,et al.  Predicting users' demographic characteristics in a Chinese social media network , 2017, Electron. Libr..

[34]  Kristina Klein,et al.  Speaking to the mind or the heart: effects of matching hedonic versus utilitarian arguments and products , 2016 .

[35]  Sebastian Feld,et al.  The Effect of Mailing Design Characteristics on Direct Mail Campaign Performance , 2012 .

[36]  Gang Kou,et al.  A review on trust propagation and opinion dynamics in social networks and group decision making frameworks , 2019, Inf. Sci..

[37]  Marion Garaus,et al.  Cognitive fit, retail shopper confusion, and shopping value: Empirical investigation , 2015 .

[38]  Robin H. Kay,et al.  Assessing emotions related to learning new software: The computer emotion scale , 2008, Comput. Hum. Behav..

[39]  Claudia Gonzalez Viejo,et al.  Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications , 2018, Food Control.

[40]  S. Noble,et al.  Relationship hindrance: why would consumers not want a relationship with a retailer? , 2004 .

[41]  Hong-yu Zhang,et al.  outranking approach for multi-criteria decision-making problems ith simplified neutrosophic sets uan - , 2014 .

[42]  Juan de Oña,et al.  Transit service quality analysis using cluster analysis and decision trees: a step forward to personalized marketing in public transportation , 2016 .

[43]  Arturas Kaklauskas,et al.  Degree of Project Utility and Investment Value Assessments , 2016, Int. J. Comput. Commun. Control.

[44]  J. Ainsworth,et al.  Comfort in brick and mortar shopping experiences: Examining antecedents and consequences of comfortable retail experiences , 2017 .

[45]  F. Okumus,et al.  The impact of servicescape on hedonic value and behavioral intentions: The importance of previous experience , 2018, International Journal of Hospitality Management.

[46]  Bikrant Kesari,et al.  Satisfaction of mall shoppers: A study on perceived utilitarian and hedonic shopping values , 2016 .

[47]  Dee K. Knight,et al.  Influence of hedonic and utilitarian motivations on retailer loyalty and purchase intention: a facebook perspective , 2014 .

[48]  Valdimar Sigurdsson,et al.  Operant Behavioral Economics for E‐mail Marketing: An Experiment Based on the Behavioral Perspective Model Testing the Effectiveness of Motivational Operation, Utilitarian and Informational Stimuli , 2016 .

[49]  P. Vincke,et al.  Note-A Preference Ranking Organisation Method: The PROMETHEE Method for Multiple Criteria Decision-Making , 1985 .

[50]  Lidong Wang,et al.  Heterogeneous Data and Big Data Analytics , 2017 .

[51]  Jari Vesanen.  What is personalization? A conceptual framework , 2007 .

[52]  A. Kaklauskas.  Neuro Multiple Criteria Analysis System for University-Industry Partnerships , 2018 .

[53]  Madhurima Deb,et al.  Evaluation of customer's mall preferences in India using fuzzy AHP approach , 2012 .

[54]  Reza Baradaran Kazemzadeh,et al.  PROMETHEE: A comprehensive literature review on methodologies and applications , 2010, Eur. J. Oper. Res..

[55]  M. Benkenstein,et al.  Together always better? The impact of shopping companions and shopping motivation on adolescents' shopping experience , 2018, Journal of Retailing and Consumer Services.

[56]  Zacharoula S. Andreopoulou,et al.  Internet marketing for sustainable development and rural tourism , 2014, Int. J. Bus. Inf. Syst..

[57]  Mu-Chen Chen,et al.  How gamification marketing activities motivate desirable consumer behaviors: Focusing on the role of brand love , 2018, Comput. Hum. Behav..

[58]  Sunil Atulkar,et al.  Satisfaction, loyalty and repatronage intentions: Role of hedonic shopping values , 2017 .

[59]  Michael Bourlakis,et al.  Preferences of smart shopping channels and their impact on perceived wellbeing and social inclusion , 2017, Comput. Hum. Behav..

[60]  Michael Höhl,et al.  One-to-One-Marketing , 1999, Wirtschaftsinf..

[61]  Nusser A. Raajpoot,et al.  The role of gender and work status in shopping center patronage , 2008 .

[62]  Hedonic and symbolic consumption perceived values: opportunities for innovators and designers in the fields of brand and product design , 2009 .

[63]  J. Martineau,et al.  An odor identification approach based on event-related pupil dilation and gaze focus. , 2015, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[64]  Gang Kou,et al.  An automatic procedure to create fuzzy ontologies from users' opinions using sentiment analysis procedures and multi-granular fuzzy linguistic modelling methods , 2019, Inf. Sci..

[65]  F. Sultan,et al.  Placing Trust at the Center of Your Internet Strategy , 2000 .

[66]  Jerome Swartz.  E-commerce and megamachines: identification, connectivity, and inference engines , 2001 .

[67]  K. Pauwels,et al.  Like the ad or the brand? Marketing stimulates different electronic word-of-mouth content to drive online and offline performance , 2016 .

[68]  Romualdas Bausys,et al.  Sustainable market valuation of buildings by the single-valued neutrosophic MAMVA method , 2017, Appl. Soft Comput..

[69]  Eileen Bridges,et al.  Hedonic and utilitarian shopping goals: The online experience , 2008 .

[70]  P. Verhoef,et al.  Permission Marketing and Privacy Concerns — Why Do Customers (Not) Grant Permissions? , 2017 .

[71]  P. Ekman.  Are there basic emotions? , 1992, Psychological review.

[72]  Fernando Ferreira,et al.  Using multiple criteria decision analysis (MCDA) to assist in estimating residential housing values , 2016 .