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In addressing the limitations of solving the Prisoner's Dilemma problem describing the firm-end consumer Corporate Social Responsibility (CSR) dynamics from a purely rational perspective, we propose to introduce the variables of emotions and peer pressure to capture the irrational aspect of human decision making. We refer to the Theory of Planned Behavior to construct a decision making model that...
E-Commerce is growing rapidly and so is its major part, e-tourism. Although it is important to enhance its technology, but there is a necessity to understand the behavior of its consumer first. This study aims to identify fundamental factors influencing consumer acceptance of e-tourism websites in Iran. The theoretical background of the study is based on Technology Acceptance Model. We investigated...
In the field of services marketing, consumers can be segmented into separate subgroups with homogeneous service requirements in the process of consumer market segmentation. In this process, a computable number of consumers and the services that they can select are not difficult to handle. However, when there is a large consumer base and the services that the consumers can select have multiple shared...
We introduce a smart business-to-consumer (B2C) e-commerce system based on the artificial systems, computational experiments, and parallel execution (ACP) approach to intelligently understand customers' interests and provide a customized B2C service experience. Taking recommendation as an example, the behavioral experiments' result shows significant improvement of the proposed system.
Cross-border electronic commerce has additional complexities when compared with domestic electronic commerce, both from the vendor and the consumer point-of-view. The situation of buying from foreign websites brings into play different issues that could affect the purchase intention of the consumer. This research (currently in progress) will attempt to establish the differences in purchase intention...
Electronic word-of-mouth (eWOM) is one important information source that influences consumer product evaluations. This paper presents a computational model that accounts for the potency differences in eWOM messages involving subjective rank expressions, which refer to linguistic representations related to the evaluated levels of the benefits of product attributes. The computational model postulates...
C2C is an important part of E-commerce, even in the economic crisis it is still rapidly growing. However, compared with the traditional economy, the research on the network economy is still in its infancy. So this paper aims to C2C market to find consumer behavior rules. Differential pricing exists in C2C market, too. But the main reason is the uncertainty of product quality. Because different kinds...
Policies and economics in social networks are intertwined with a physical system. Research on socio-technical systems, including eco-cities, energy systems, transport infrastructures and supply chains, tries to combine the technical engineering discipline for the physical system with the social perspective on consumer behaviour. However, efforts to develop an ontology, i.e. a shared formal conceptualisation,...
This study integrates Technology Acceptance Model (TAM) and flow theory to explore the relationship among online consumers' internal and external perceptive factors, and intention to return. This study examines the online consumers from Taiwan's biggest B to C website, and questionnaire-based empirical study is used to collect data. There are 1254 valid surveys and structure equation model (SEM) is...
In service industries, productivity growth requires matching the level of demand of the consumer and the level of service of the provider. This matching requires the service provider to have knowledge of consumer-related factors, such as the satisfaction level or the concept of value of the consumer. An intelligent model of the consumer is needed in order to estimate such factors because these factors...
The study extends the original technology acceptance model (TAM) by applying it to the purchase intention of home security and remote control equipments, and introducing two external variables, ??task-technology fit?? and ??reliability and interaction.?? The paper addresses the original cognitive TAM variables, and then revises them by adding emotional antecedents which fit into consumer context....
This paper presents and discusses a conceptual model for understanding the consumer's adoption, use and main psychological outcomes related to a particular website recommendation system, with the emphasis on the psychological perspective of the research problem. We base our work on, adapt and integrate classical theories of consumer behavior with specific theories developed within the framework of...
In todaypsilas business, the importance of understanding consumer behavior has never been more important to supply chain members. Retailers are on the key node of supply chain to transfer consumerpsilas requirement, so retailerspsila satisfaction can reflect the efficiency of the supply chain operation. In this paper, a class of model and computational intelligence in supply chain network design considering...
We investigate two competing products with network effects diffusion on heterogeneous Newman-Watts (HNW) network based on a computer simulation model. Consumerspsila behaviors in our model are determined not only by their individual preferences and purchasing resistances but also by their interactions with others. To analyze the determinant factors in products diffusion we divide network effects into...
The growth figure of network effect product user number always has an S-shape. We divide the consumers into five categories (active rational, passive rational, sheep herd, active non-rational, passive non-rational) and simulate the market with the multi-agent modeling method. Through analyzing the growth figure and interactions between each group, we give an integral explanation to how the S-shape...
Market simulators assist managers in product design and pricing decisions, through advanced heuristic algorithms for consumer buying behavior modeling. We propose a model for use in such systems, which combines the effective incorporation of the two critical properties a simulator should theoretically reflects, with exceptionally performance in actual choice shares estimation. Differential Impact...
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