918 resultados para 150507 Pricing (incl. Consumer Value Estimation)


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The data analyses consumers' decision making processes in the telecommunications market. The dataset includes both autoethnographic videographies and experimental quantitative data.

The data comprises an extended autoethnographic methodology with 22 participants. Participants recorded video diaries, written diaries and extended interviews about their experiences looking for a mobile phone service. It also includes a quantitative experiment with 517 participants to examine, under close to real conditions, how consumers make decisions. This involved advertising and sales scenarios looking at the effect of bundling and limited time offers in advertising on consumer perceptions and purchase intentions; the effect of unit pricing and the presentation of terms and conditions information in advertising on consumer perceptions and purchase intentions; and the effect of information and the mode of its presentation in personal selling on consumers’ perceptions.

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This paper analyzes the potential of one-step transfer prices based on either variable or full costs for coordinating decentralized production and quality-improving investment decisions. Transfer prices based on variable costs fail to induce investments on the upstream stage. In contrast, transfer prices based on full costs provide strong investment incentives for the upstream divisions. However, they fail to coordinate the investment decisions. We show that negotiations prevent such coordination failure. In particular, we find that the firm benefits from a higher degree of decentralization so that total profit increases in the number of parameters being subject to negotiations.

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Purpose – The purpose of this paper is to demonstrate the need for an improved understanding of consumer value for online grocery purchases and to propose the notion of “integrated service solution” packages as a strategy for growing and successfully sustaining the channel to guide both marketing strategy and policy. Design/methodology/approach – This paper integrates and synthesises research from retailing, consumer behaviour and service quality literatures in order to develop a conceptual framework for understanding the value of e-grocery shopping to aid practitioners to address the critical needs, expectations and concerns of consumers for the development of grocery shopping within the online environment. Findings – This paper offers an alternative approach to allow e-grocery to become a mainstream retail channel in its own right and not to compete with the in-store offerings. The research demonstrates the need for a progressive approach that follows contemporary consumer needs and habits at the household level. The conjecture is that shopping for fast-moving consumer goods follows a learning path that needs to be replicated in the online context. Moreover, it is suggested that consumer resistance to the adoption of the new channel should be addressed not only from a technological perspective but also from the social aspects of online shopping. Originality/value – The research provides a practical framework for both retailers and policy makers on how the “next generation” of online services can be developed using a “bottom up” consumer perspective. This paper also advocates a non-technological bias to e-grocery retailing strategy.

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Price knowledge studies are a key to understanding behavioural pricing strategies. Consumer price knowledge is an ongoing concern in the literature. It is also generally acknowledged that price awareness is subject to cross-cultural differences. This is important because the retailer market is dominated by global players who use standardized marketing-mix instruments. However, there are no studies about price knowledge between countries. This study examines differences in price knowledge between German and Finnish consumers. The results show that Finnish consumers were able to give at least some price estimate for a product more often, but the estimates of German consumers were more accurate. Due to data limitations of our study more research is needed about cross-cultural price knowledge.

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Purpose: The paper aims to further extend our understanding by assessing the extent to which two prominent cultural values in East Asia i.e. face saving and group orientation drive consumers' perceptions of luxury goods across four East Asian markets. Design/methodology/approach: A multi-methods research approach was adopted consisting of: an expert panel of close to 70 participants, group discussions with five extended East Asian families, personal interviews with eight East Asian scholars, a pilot test with over 50 East Asian graduate students and a multi-market survey of 443 consumer respondents in Beijing, Tokyo, Singapore and Hanoi. Findings: The authors extend previous conceptual studies by empirically investigating the impact of these two cultural values on the perception of luxury among East Asian societies. Specifically the study reveals that across all four markets face saving has the strongest influence on the conspicuous and hedonistic dimensions of luxury, group orientation meanwhile is the strongest predictor of the quality, extended self and exclusivity dimensions of luxury. Collectively these two cultural values significantly influence East Asian perceptions of luxury. Overall, the findings reiterate the importance of understanding different cultural values and their influence across different East Asian societies. Practical implications: The findings have important implications for managers of western luxury branded goods that are seeking to penetrate East Asian markets or seek to serve East Asian consumers. Specifically, to assist with developing suitable brand positioning, products, services, communications and pricing strategies. Originality/value: This study contributes to our understanding of the subject by exploring the impact of face saving and group orientation on the perception of luxury goods across four East Asian countries. Several directions for future research are suggested. © Emerald Group Publishing Limited.

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- Purpose This paper aims to investigate how direct mail consumption contributes to brand relationship quality. Store flyers and other direct mailings continue to play a significant role in many companies’ communication strategies. Research on this topic predominantly investigates driving store traffic and sales. Less is known regarding the consumer side, such as the value that consumers may derive from the consumption of direct mailings and the effects of such a value on brand relationship quality. To address this limitation, this paper tests a causal model of the contribution of direct mail value to brand commitment, drawing on a value framework that integrates social theory of engagement regimes and literature on experiential customer value. - Design/methodology/approach The empirical work of this paper is based on a rigorous four-study mixed methods design, involving qualitative study, confirmatory factor analysis and partial least squares structural modeling. - Findings The authors develop two second-order formatively designed scales – familiar value and planned value scales – that illustrate the role of engagement regimes in consumer behavior. Although both types of value contribute equally to direct mail attachment, they exert contrasting effects on other mediational consumer responses, such as reading and gratitude. Finally, the proposed theoretical model appears to be robust in predicting customers’ brand commitment. - Research limitations/implications This study provides new insights into the research on consumer value and brand relational communication. - Originality/value This study is the first to consider consumer benefits from the social perspective of engagement regimes.

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This project attempts to provide an in-depth competitive assessment of the Portuguese indoor location-based analytics market, and to elaborate an entry-pricing strategy for Business Intelligence Positioning System (BIPS) implementation in Portuguese shopping centre stores. The role of industry forces and company’s organizational resources platform to sustain company’s competitive advantage was explored. A customer value-based pricing approach was adopted to assess BIPS value to retailers and maximize Sonae Sierra profitability. The exploratory quantitative research found that there is a market opportunity to explore every store area types with tailored proposals, and to set higher-than-tested membership fees to allow a rapid ROI, concluding there are propitious conditions for Sierra to succeed in BIPS store’s business model in Portugal.

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The substitution of missing values, also called imputation, is an important data preparation task for many domains. Ideally, the substitution of missing values should not insert biases into the dataset. This aspect has been usually assessed by some measures of the prediction capability of imputation methods. Such measures assume the simulation of missing entries for some attributes whose values are actually known. These artificially missing values are imputed and then compared with the original values. Although this evaluation is useful, it does not allow the influence of imputed values in the ultimate modelling task (e.g. in classification) to be inferred. We argue that imputation cannot be properly evaluated apart from the modelling task. Thus, alternative approaches are needed. This article elaborates on the influence of imputed values in classification. In particular, a practical procedure for estimating the inserted bias is described. As an additional contribution, we have used such a procedure to empirically illustrate the performance of three imputation methods (majority, naive Bayes and Bayesian networks) in three datasets. Three classifiers (decision tree, naive Bayes and nearest neighbours) have been used as modelling tools in our experiments. The achieved results illustrate a variety of situations that can take place in the data preparation practice.

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This research explores the downstream perceptions of liquid carton board versus competing materials in packaging applications for juice. The methodology used is focus groups. The context is sustainability and functional performance, and related potential implications for the beverage industry value chain. The purpose is to get a deeper insight and understanding of functionality in relation to juice beverage packaging. The results confirm that there is no optimal packaging for every juice product, but a multitude, depending on the distribution channel, retail outlet, customer preferences, and context of consumption. There are some general packaging preferences, but the main deciding criteria for purchase seem to be the product characteristics in terms of quality, taste, brand, price and shelf life. For marketing reasons, packaging has to be adopted to the product and its positioning, liquid carton board packaging seem to have some functional advantages in distribution and is considered as sustainable and functional among many consumers. Major drawbacks seem to be shape limitations, lack of transparency, and lack of a “premium look”. To improve packaging performance and avoid sub-optimization, actors in the beverage industry value chain need to be integrated in development processes.

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Short Term Load Forecasting (STLF) is very important from the power systems grid operation point of view. STLF involves forecasting load demand in a short term time frame. The short term time frame may consist of half hourly prediction up to weekly prediction. Accurate forecasting would benefit the utility in terms of reliability and stability of the grid ensuring adequate supply is present to meet with the load demand. Apart from that it would also affect the financial performance of the utility company. An accurate forecast would result in better savings while maintaining the security of the grid. This paper outlines the STLF using a novel hybrid online learning neural network, known as the Gaussian Regression (GR). This new hybrid neural network is a combination of two existing online learning neural networks which are the Gaussian Adaptive Resonance Theory (GA) and the Generalized Regression Neural Network (GRNN). Both GA and GRNN implemented online learning, but each of them suffers from limitation. Originally GA is used for unsupervised clustering by compressing the training samples into several categories. A supervised version of GA is available, namely Gaussian ARTMAP (GAM). However, the GAM is still not capable on solving regression problem. On the other hand, GRNN is designed for solving real value estimation (regression) problem, but the learning process would involve of memorizing all training samples, hence high computational cost. The hybrid GR is considered an enhanced version of GRNN with compression ability while still maintains online learning properties. Simulation results show that GR has comparable prediction accuracy and has less prototype as compared to the original GRNN as well as the Support Vector Regression.

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O presente trabalho busca estudar o modo como brasileiros que moram no Rio de Janeiro valorizam produtos e atividades esportivas. A partir da tipologia proposta por Holbrook (1999), procuramos caracterizar comportamentos de consumo esportivo, produzindo, desta forma, observações que servissem como subsídios para estratégias de marketing. Os perfis de consumo apresentados poderão ser fontes de informações importantes não só para organizações do setor esportivo como também do setor de entretenimento. Os dados analisados neste estudo foram coletados em entrevistas em profundidade, de acordo com o método descrito por McCracken (1988). Nestas entrevistas, exploramos os aspectos experienciais do consumo esportivo e suas relações com comportamentos de compra dos entrevistados. Realizadas as entrevistas, recorremos ao modelo de tipologia de valores do consumidor proposto por Holbrook (1999) para categorizar os tipos de consumo esportivo. Concluiu-se que quatro dos valores propostos por Holbrook são recorrentes no discurso dos entrevistados.

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To better understand the way counterfeit consumers value their consumptions the present work will take the Typology of Consumer Value proposed by Holbrook (1994, 1996, 1999 and 2006) as the chosen approach, given its ability to capture the nature of consumption experiences e, therefore, to identify the types of value in the consumer experience. The analysis presented on this work was based on in-deep interviews with Brazilian counterfeit consumers and the most frequent aspects presented during the interviews were the consumer value as play, followed by esteem and status, and while the values excellence, efficiency, ethics and spirituality were observed with a lower frequency, the value aesthetics was not observed during the interviews. These results suggest the possibility of further studies on the subject.

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O consumo como espiritualidade de acordo com Holbrook (1999) e o consumo do luxo de acordo com Alléres (2000) foram os temas iniciais usados neste trabalho como forma de buscar conhecer o que o consumidor tem a dizer a respeito de suas experiências de compras especiais e marcantes. A partir da Taxonomia do Valor de Consumo de Holbrook (1999), este trabalho procurou responder à seguinte pergunta: como a narrativa do mito descreve o consumo enquanto eSpiritualidade? Nas entrevistas realizadas foi usada uma abordagem interpretativa onde os informantes pudessem fazer emergir livremente suas considerações sobre o assunto. Pelos dados levantados, a narrativa do mito parece ser usada como metáfora para descrever o consumo como espiritual idade. As categorias êmicas encontradas sugerem um direcionamento para os esforços de marketing de quem pretende proporcionar uma experiência relevante ao consumidor, principalmente a partir de uma perspectiva metafórica.

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This study aims to show some methods of environmental assets valuation. These methods are intended to assist in the economic value estimation to environmental resources by the simulation of a hypothetical market, even if there are no market prices related to them. It is about an individual preference measure against the environmental changes. Thus, the environmental valuation methods do not convert a natural resource into a market product. The present report evaluates the applicability of the valuation methods to determine the economic value for assets or resources. The challenge for all is to understand the current economic and ecologic thinking and their limitations, so as to seek improvements in the perception of natural phenomena and in the economic-oriented goal, which is the sustainable development.

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Five different methods were critically examined to characterize the pore structure of the silica monoliths. The mesopore characterization was performed using: a) the classical BJH method of nitrogen sorption data, which showed overestimated values in the mesopore distribution and was improved by using the NLDFT method, b) the ISEC method implementing the PPM and PNM models, which were especially developed for monolithic silicas, that contrary to the particulate supports, demonstrate the two inflection points in the ISEC curve, enabling the calculation of pore connectivity, a measure for the mass transfer kinetics in the mesopore network, c) the mercury porosimetry using a new recommended mercury contact angle values. rnThe results of the characterization of mesopores of monolithic silica columns by the three methods indicated that all methods were useful with respect to the pore size distribution by volume, but only the ISEC method with implemented PPM and PNM models gave the average pore size and distribution based on the number average and the pore connectivity values.rnThe characterization of the flow-through pore was performed by two different methods: a) the mercury porosimetry, which was used not only for average flow-through pore value estimation, but also the assessment of entrapment. It was found that the mass transfer from the flow-through pores to mesopores was not hindered in case of small sized flow-through pores with a narrow distribution, b) the liquid penetration where the average flow-through pore values were obtained via existing equations and improved by the additional methods developed according to Hagen-Poiseuille rules. The result was that not the flow-through pore size influences the column bock pressure, but the surface area to volume ratio of silica skeleton is most decisive. Thus the monolith with lowest ratio values will be the most permeable. rnThe flow-through pore characterization results obtained by mercury porosimetry and liquid permeability were compared with the ones from imaging and image analysis. All named methods enable a reliable characterization of the flow-through pore diameters for the monolithic silica columns, but special care should be taken about the chosen theoretical model.rnThe measured pore characterization parameters were then linked with the mass transfer properties of monolithic silica columns. As indicated by the ISEC results, no restrictions in mass transfer resistance were noticed in mesopores due to their high connectivity. The mercury porosimetry results also gave evidence that no restrictions occur for mass transfer from flow-through pores to mesopores in the small scaled silica monoliths with narrow distribution. rnThe prediction of the optimum regimes of the pore structural parameters for the given target parameters in HPLC separations was performed. It was found that a low mass transfer resistance in the mesopore volume is achieved when the nominal diameter of the number average size distribution of the mesopores is appr. an order of magnitude larger that the molecular radius of the analyte. The effective diffusion coefficient of an analyte molecule in the mesopore volume is strongly dependent on the value of the nominal pore diameter of the number averaged pore size distribution. The mesopore size has to be adapted to the molecular size of the analyte, in particular for peptides and proteins. rnThe study on flow-through pores of silica monoliths demonstrated that the surface to volume of the skeletons ratio and external porosity are decisive for the column efficiency. The latter is independent from the flow-through pore diameter. The flow-through pore characteristics by direct and indirect approaches were assessed and theoretical column efficiency curves were derived. The study showed that next to the surface to volume ratio, the total porosity and its distribution of the flow-through pores and mesopores have a substantial effect on the column plate number, especially as the extent of adsorption increases. The column efficiency is increasing with decreasing flow through pore diameter, decreasing with external porosity, and increasing with total porosity. Though this tendency has a limit due to heterogeneity of the studied monolithic samples. We found that the maximum efficiency of the studied monolithic research columns could be reached at a skeleton diameter of ~ 0.5 µm. Furthermore when the intention is to maximize the column efficiency, more homogeneous monoliths should be prepared.rn