Fuzzy cognitive maps to evaluate the consumer desicion journey throughout the evaluation and understanding of the consumer motivation scale

80 páginasABSTRACT: Taking into consideration the importance of understanding the consumer decision journey, along with being able to pick out the factors that drive the motivation of a consumer towards deciding to purchase or not a product is essential. It is a fact that by understanding and being able to predict consumer trends it is possible to boost up engagement people have with the products all new/existing businesses can offer. By utilizing an adequate consumer motivation scale to determine what drives the consumers and in that way develop new products, new campaigns, or even implement new services, it is possible to reach the unreachable and to dig into the neurological sides of consumers. By understanding this deeper, subconcious side of the consumer, it is possible to understand how to create a long-lasting effect in them. Using data and neuromarketing, it is possible to, at a big scale, determine what motivates a consumer to buy. This can then lead to understanding what products to offer and which market to offer it to increase the likelihood of adoption in its exposed market. The reason why new business ideas fail, or current business ideas get outgrown by the market is either due to the lack of product development, the selection of the incorrect targeted market, or the selection of an inadequate value proposition. If all these are not chosen with the consumer’s psycology on mind then the consumer believes he or she “needs” rather than “wants”, which generates a delay in the purchasing action. With the above in mind and using data-intense analytic studies, composed of fuzzy cognitive maps and concluding by deep learning models, it was possible to identify the key variables of the consumer motivation scale for all tourism products. In this way, opening the door to a new way of thinking. A neuromarketing-oriented marketing strategy that creates the “Why?” before anything else in product development, market development, or simply a product penetration goal. This strategy then allows businesses to start with the need or purpose they need to solve and the key variables the product needs to cover, to then release something to the market. In that way, the product will be something that the consumer psychologically, is already looking for. In this way, two different phases of the project were created where two different models were proposed. Then, through different deep learning models, one was selected and brought a consumer motivation scale as the final product.PregradoIngeniero(a) Administrativo(a

Sustainability in design: now! Challenges and opportunities for design research, education and practice in the XXI century

Copyright @ 2010 Greenleaf PublicationsLeNS project funded by the Asia Link Programme, EuropeAid, European Commission

An Empirical Investigation Of Information Technology Mediated Customer Services In China

Information technology mediated customer service is a reality of the 21st century. More and more companies have moved their customer services from in store and in person to online through computer or mobile devices. Using 208 respondents collected from two Chinese universities, this paper investigates customer preference over two service delivery model (either in store or online) on five type of purchasing (retail, eating-out, banking, travel and entertainment) and their perception difference in customer service quality between those two delivery model. Results show that a majority of Chinese students prefer in store and in person for eating out. For ordering tickets for travel and entertainment, they prefer computer/mobile device. For retail purchasing and banking, less than half of the students prefer in person services. In general, the results show that ordering through computer/mobile devices has become more popular in China and has received higher rating for most of customer service quality except security compared to ordering in store. In addition, it is found that there exist a gender difference in purchasing preference and perception in service delivery quality in China

Consumer perceived benefits and value in apparel m-retail

Within the UK retail sector, fashion shopping via mobiles is one of the fastest developing forms of online retail, yet recent research has shown that apparel retailers have been slow to implement appropriate mobile platforms into overall marketing strategies, thereby failing to satisfy consumer expectations and missing opportunities emerging through this channel. This research analyses mobile apparel retail from the consumer’s perspective. The aim is to understand fashion shopping experiences via smartphones. Research questions relate to the benefits fashion consumers are seeking through mobile shopping channels, how consumers shop, why they use smartphones and what influences their decision-making process. Consequently, a theory of interactive relationship between m-retail and consumer purchase behaviour has been developed. A mixed methods approach was adopted guided by Grounded Theory methodology complemented by experimental work. It applied 200 questionnaires, 1,313 mobile app reviews, 23 eye tracking experiments involving websites, mobile apps and mobile websites, 6 focus group discussions and 8 case studies. A conceptual model of Essential Features of Mobile Channel (EFMC) was developed by triangulating data gathered from a range of sources: eye tracking experiments, mobile app reviews and focus groups. Case studies of commercial platforms, implementing 43 features of EFMC, were used to evaluate mobile websites and apps developed by apparel retailers. This research contributes to knowledge by developing a Benefits-Value Theory (BVT), which addresses the relationship between levels of benefits and their influence on shopping involvement, by examining the ways consumers perceive mobile platforms and respond with distinctive behaviours and attitudes. This conceptual framework devotes what companies are doing on mobile and what consumers think about it. BVT provides a base for fashion consumer segmentation. Consumer profiles have been developed to account for shifts in consumer behaviour led by mobile technologies. This research proposes a model for diagnosing the strengths and weaknesses of mobile platforms. Shopping journey and behaviour models establish how to segment the consumer base, capturing a complexity of their behaviours, by assigning value to fashion retail. This research helps apparel retailers to develop appropriate marketing strategies in m-retail focusing on maximizing customer benefits and satisfaction by fulfilling retailers’ value creation and delivery

8 Міжнародна конференція "Моніторинг, моделювання та менеджмент емерджентної економіки" (M3E2 2019)

Матеріали конференції.Proceedings

Procceedings / 4th International Symposium of Industrial Engineering - SIE 2009, December 10-11, 2009., Belgrade

editors Dragan D. Milanović, Vesna Spasojević-Brkić, Mirjana Misit

Procceedings / 4th International Symposium of Industrial Engineering - SIE 2009, December 10-11, 2009., Belgrade

editors Dragan D. Milanović, Vesna Spasojević-Brkić, Mirjana Misit