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Social media serves as a unified platform for users to express their thoughts on subjects ranging from their daily lives to their opinion on consumer brands and products. These users wield an enormous influence in shaping the opinions of other consumers and influence brand perception, brand loyalty and brand advocacy. In this paper, we analyze the opinion of 19M Twitter users towards 62 popular industries,...
E-commerce marketplaces are highly dynamic with constant competition. While this competition is challenging for many merchants, it also provides plenty of opportunities, e.g., by allowing them to automatically adjust prices in order to react to changing market situations. For practitioners however, testing automated pricing strategies is time-consuming and potentially hazardously when done in production...
An incentive design method is proposed for incentive-based demand response programs targeting residential consumers. Consumers are modelled as decision-makers and their models represent, unlike existing models, dynamical nature of power consumption behaviors. The design is done based on inverse optimization. The degree of freedom that exists in the solution can be effectively utilized to make the...
The South African residential sector contributes significantly to the total energy and demand of electricity. Load shifting can reduce the demand for electricity in the residential sector during peak demand periods. This paper focus on residential consumer behaviour and the effect of this behaviour on load management potential in the South African electricity sector. The paper investigates utility...
The purpose of this study is to explore the difference between the open data analysis approach and the traditional approach to site selection and the former's impact on the latter, thereby providing some insights for remedial education institutions in the development of their business strategies, based on which they can set their business directions and make plans. The results from the use of the...
Recommender systems generally provide potentially interesting items for users based on their preferences. In this paper, we propose a method to improve recommendation systems by incorporating the theory of reasoned action. Under the modified model, the behavioral intentions are used to generate recommendations. Compared with user interest in products, the behavioral intentions are more concentrated...
A small size power system of low voltage customers containing renewable energy plants and energy storage functions, that produces a portion or all of their onsite power needs and sells the excess to the public grid, may be identified with the term Nanogrid. Within the changing scenario of power distribution sector, Nanogrids may play a role in providing energy and services to distribution system operators...
This paper presents a validation and comparison of two approaches for stochastic load profile modeling for low voltage residential consumers. Such load profiles are necessary for network expansion planning or in state estimation for the compensation of unavailable measurements. Here, a Markov chain and a linear regression model are used to model stochastic load profiles. First, the training and modeling...
It is well agreed that recycling of WEEE (Waste Electronic and Electrical Equipment) is vital to the protection of the world's environment and resources. However, although the ‘green’ concept has been adopted by many, recycling rate is lagged far behind, even by people who claim to be environmentalists. Our research explores this phenomenon from a neurological angle. In our study, 26 subjects were...
The sending of electronic commercial communications based on consumer behavior raises the problem of the protection of personal data. Personal information or data is important for the content of behavioral advertising.
Online and offline marketplaces (dual-channel) have seen rapid growth recently. Online marketplaces serve as intermediary to match buyers with sellers, where consumers take a free-ride in channel services and have an impact on supply chain operations. We consider a manufacturer to operate only a traditional offline marketplace, an online channel (a direct channel), or a dual-channel structure, and...
Personas are fictional characters used to understand users' requirements. Many researchers have proposed persona development methods from quantitative data (data-driven personas development). However, it is not assumed that personas in these works are used continuously and these personas cannot reflect on unpredictable changes in users. It is difficult to plan reliable strategies in a web service...
Daily deal websites, such as Groupon and Living-Social, are now becoming increasingly popular current shopping trends worth multi-billion dollars. Understanding customers' purchase behaviors in daily deal websites is important to provide accurate and precise personalized recommendations in order for companies to gain more revenue. However, different from traditional online shopping sites, such as...
Through the investigation of typical survey data and national statistical data, this paper aims to conduct quantitative analysis about the digital reading of consumers. Firstly, the cognitive behavior of digital reading consumer is analyzed by using statistical method. Secondly, based on the grey system model, the model predicts the daily reading time of the national per capita using electronic readers...
At present, the rapid development of rural e-commerce in China, many e-commerce enterprises began to open up the rural market, but because of the special rural environment, so that most businesses ignore the real needs of rural consumers. Based on the traditional TAM model, this paper studies the adoption behavior of rural consumers by means of qualitative analysis and empirical research. The results...
We argue that it is significant for researchers and managers to clear define perceived risk in online apparel mass customization (OAMC) product development process. The purpose of this study is to investigate the benefit of web environment on the reduction of users' perceived risk. This study concludes consumers' perceived risk focused on OAMC sites at first. Then, following guidelines in risk literature,...
In view of the high-dimensional data stream characteristics of Omni-Channel consumer behavior, the synopsis generation algorithm of the Omni-Channel consumer segmentation was created based on the Omni-Channel customer value. The evolutionary data stream clustering algorithm of Omni-Channel consumer segmentation was proposed based on time attenuation model and sliding window model, which deal with...
Eating out has evolved from being a behavior associated with the mere benefit of functionality to a more hedonic one. It has become an act of socializing with preference of cuisines changing according to various parameters. The purpose of this study was to develop a model to understand the factors affecting the choice of cuisines while Indian consumers eat out. The study was conducted among 172 respondents...
India is a country which possess the world's oldest and most diverse cultures embedded by a set of core values. In spite of this diversity, core values are cherished by the people across the country. Consumer choices are impacted to a good extend by their way of life, qualities and social class, alongside the society they connect with and those they respect. In general, values are held beliefs that...
Product pricing decisions are crucial to the growth of a business and can be major deciding factors in overall revenue generation. Elements like production costs, market conditions, supply and demand, competition etc. must be taken into account while pricing to increase pricing efficiency. This paper explains a pricing tactic that can be used by commercial firms during business expansion. Artificial...
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