812 resultados para Consumers expectations
Resumo:
This paper focuses on the importance of consumers’ habits, preferences and needs in the Croatian wine market to have a better understanding of consumer purchase and consumption behavior. Survey was conducted on Croatian consumers to identify purchasing variables and explain consumer attitudes and behaviors. Along with the online survey, results were also provided using additional journals and research examples. Both measures offered a better understanding of the issues mentioned. Additionally, both may be used in order to implement effective marketing strategies. The results are essential for the preservation of Croatian wine and purchase growth, but also consumption. Moreover, they offer foundations on which to improve Croatian wine offering.
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Recently researchers showed that more choice is not always better. Choosing from large assortments can be overwhelming, raising expectations and decreasing overall level of consumer satisfaction. Author contributes to existing overchoice studies by using real assortment of online stores to find influence of assortment size on customer satisfaction. 90 students participated in the main experiment, where they chose a smartphone case for their friend. Results of the study show that large assortment size leads to higher expectations, higher choice difficulty and higher level of satisfaction. This research does not show overchoice presence and author suggests future studies could focus more on assortment variety and more personal characteristics of consumers, like preference uncertainty.
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OBJECTIVE: To identify social characteristics and expectations of individuals seen during a community project for the treatment of senile cataracts. Expected results from their eye surgery and its consequences to their quality of life were studied as well. METHODOLOGY: Cataract patients (visual acuity equal to or lower than 0.2 in the more superior eye) aged 50 years or over, were surveyed by means of interviews held during their visit at the Cataract Project in São Paulo city, State of São Paulo, Brazil, in 1999. RESULTS: The sample was composed of 331 subjects of low socioeconomic level ranging in age from 50 to 97 years (average = 71.8 years). Expectation of total recovery from the cataract condition by means of surgery was declared by 80.0% of the respondents, with no significant differences between male and female subjects (P < 0.1723). Hope to resume manual activities was expressed by 59.8%. CONCLUSION: A predominance of expectations of resuming normal activity and achieving a better quality of life after cataract surgery were identified.
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The report addresses the question of what are the preferences of broadband consumers on the Portuguese telecommunication market. A triple play bundle is being investigated. The discrete choice analysis, adopted in the study, base on 110 responses, mainly from NOVA students. The data for the analysis was collected via manually designed on-line survey. The results show that the price attribute is relatively the most important one while the television attribute is being overlooked in the decision making process. Main effects examined in the research are robust. In addition, "extras" components are being tested in terms of users' preferences.
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Companies are concerned in attracting and retaining Millennial consumers, especially if their relation with this target audience is weak. This happens in the insurance industry in Portugal and in Fidelidade group specifically. The aim of this study is to recommend a strategy for the insurance group to improve its relationship with these consumers, by conveying its human centric values. In order to address this goal, we developed a qualitative research. The main insight is that Millennials may perceive those values in the industry but do not associate them with insurance brands.
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The aim of this research is to evaluate if a premium beauty brand, in this case, Lancôme, can influence positively the purchase intention from Brazilian young adults, between 18 and 29 years old, consumers of beauty products, by initiating a relationship with a local celebrity or “it” girl on social media. This hypothesis has not been tested, and this research is a first attempt of evaluating it. Additionally, the consumer behavior, brand preferences and social media activeness of this age segment in Brazil are further studied as important insights for beauty brands to conquer these consumers. Results did not confirm the positive influence of local celebrities on this age segment’s purchase intention but several suggestions are made for future research to revisit this topic. Furthermore, there is a significant brand love for M.A.C., an international Lancôme competitor, amongst this target, as well as a probable price sensitivity facing premium beauty brands.
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This project aims to illuminate two perspectives on travel retail. On the one hand, it describes the main character of the shopping scenario at airports, namely the Global Shopper. It covers the entire profile of the referred character, the main nationalities that represent him and the current shopping trends of the passenger. Also estimates of the booming nationalities and the future purchasing trends are accurately presented. On the other hand, the travel retail market is analyzed from the airport brands’ perspective. It is described what is currently done in terms of brands communication in the top ten airports around the world and the expected future market retail trends. To accurately explore the Global Shopper behavior and purchasing preferences, a market research was conducted with a sample of 128 respondents, male and female, from different nationalities, age groups, occupation and education backgrounds. The essay tests hypothesis regarding the relevance of several variables in the purchasing process of the Global Shopper in order to understand the most pleasant way to approach consumers in travel retail. The main variables studied concern the reasons to shop at airports, to whom the passenger shops, the preferred category and brand of purchase, feelings while shopping abroad, impulsive buying behavior, brand loyalty, the use of mobile devices in the shopping process, brands communication at airports, pre-ordering online and the attitude towards self-service stores. Some findings were in accordance with expectations, while others were a surprise and may produce valuable recommendations for future travel retail practices. 4 The main relevant results concern two areas, namely pre-ordering online and self-service stores. Results showed a certain stress about not having enough time to choose between the various offerings in travel retail, as well as difficulty in dealing with crowed stores. However, pre-ordering online was not common, which would be an initiative that could solve the discomfort at airport’s stores. Moreover, self-service would promote efficiency in stores allowing passengers to save time if they already know how to go through the shopping process by themselves. Another possible recommendation concerns differentiating the strategy in travel retail for the two genders. Some differences were found in the categories bought by male and female, as well as to how brands should shape their approach concerning the demands of each gender.
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This project aims to explore the Portuguese Beauty and Cosmetics market, and to discuss the usage and purchase behaviour of young female adults, between 18 and 26 years old. After a market analysis based on secondary data, it evaluates the results of qualitative and quantitative research based on 9 interviews and 126 online questionnaires to explore the consumers’ reasoning when choosing products from this category – fragrances, skin care or make-up – as well as their attitude towards brands, with a special focus on the premium cosmetics brand Lancôme. Contrary to our expectations there was no statistically significant positive influence of the online touchpoints within this age segment’s purchase intention. However, results indicate that Lancôme is already being perceived by some as young and modern, but is still suffering the threat of Mass Market brands that are valued by this target, mainly due to a price sensitivity towards premium beauty brands.
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Open Display Networks have the potential to allow many content creators to publish their media to an open-ended set of screen displays. However, this raises the issue of how to match that content to the right displays. In this study, we aim to understand how the perceived utility of particular media sharing scenarios is affected by three independent variables, more specifically: (a) the locativeness of the content being shared; (b) how personal that content is and (c) the scope in which it is being shared. To assess these effects, we composed a set of 24 media sharing scenarios embedded with different treatments of our three independent variables. We then asked 100 participants to express their perception of the relevance of those scenarios. The results suggest a clear preference for scenarios where content is both local and directly related to the person that is publishing it. This is in stark contrast to the types of content that are commonly found in public displays, and confirms the opportunity that open displays networks may represent a new media for self-expression. This novel understanding may inform the design of new publication paradigms that will enable people to share media across the display networks.
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We analyze the classical Bertrand model when consumers exhibit some strategic behavior in deciding from which seller they will buy. We use two related but different tools. Both consider a probabilistic learning (or evolutionary) mechanism, and in the two of them consumers' behavior in uences the competition between the sellers. The results obtained show that, in general, developing some sort of loyalty is a good strategy for the buyers as it works in their best interest. First, we consider a learning procedure described by a deterministic dynamic system and, using strong simplifying assumptions, we can produce a description of the process behavior. Second, we use nite automata to represent the strategies played by the agents and an adaptive process based on genetic algorithms to simulate the stochastic process of learning. By doing so we can relax some of the strong assumptions used in the rst approach and still obtain the same basic results. It is suggested that the limitations of the rst approach (analytical) provide a good motivation for the second approach (Agent-Based). Indeed, although both approaches address the same problem, the use of Agent-Based computational techniques allows us to relax hypothesis and overcome the limitations of the analytical approach.
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The parameterized expectations algorithm (PEA) involves a long simulation and a nonlinear least squares (NLS) fit, both embedded in a loop. Both steps are natural candidates for parallelization. This note shows that parallelization can lead to important speedups for the PEA. I provide example code for a simple model that can serve as a template for parallelization of more interesting models, as well as a download link for an image of a bootable CD that allows creation of a cluster and execution of the example code in minutes, with no need to install any software.
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Expectations are central to behaviour. Despite the existence of subjective expectations data, the standard approach is to ignore these, to hypothecate a model of behaviour and to infer expectations from realisations. In the context of income models, we reveal the informational gain obtained from using both a canonical model and subjective expectations data. We propose a test for this informational gain, and illustrate our approach with an application to the problem of measuring income risk.
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During the last two decades there has been an increase in using dynamic tariffs for billing household electricity consumption. This has questioned the suitability of traditional pricing schemes, such as two-part tariffs, since they contribute to create marked peak and offpeak demands. The aim of this paper is to assess if two-part tariffs are an efficient pricing scheme using Spanish household electricity microdata. An ordered probit model with instrumental variables on the determinants of power level choice and non-paramentric spline regressions on the electricity price distribution will allow us to distinguish between the tariff structure choice and the simultaneous demand decisions. We conclude that electricity consumption and dwellings’ and individuals’ characteristics are key determinants of the fixed charge paid by Spanish households Finally, the results point to the inefficiency of the two-part tariff as those consumers who consume more electricity pay a lower price than the others.