755 resources related to Consumer behavior
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2019 IEEE International Professional Communication Conference (ProComm)
The scope of the conference includes the study, development, improvement, and promotion ofeffective techniques for preparing, organizing, processing, editing, collecting, conserving,teaching, and disseminating any form of technical information by and to individuals and groupsby any method of communication. It also includes technical, scientific, industrial, and otheractivities that contribute to the techniques and products used in this field.
PowerTech is the IEEE PES anchor conference in Europe and has been attended by hundreds of delegates from around the world. It will be an international forum with programme for individuals working in industry and academia, to network, exchange ideas, and discuss the results of their research and development work.
The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more
WSC is the premier international forum for disseminating recent advances in the field of system simulation. In addition to a technical program of unsurpassed scope and quality, WSC provides the central meeting for practitioners, researchers, and vendors.
IEEE CCNC 2018 will present the latest developments and technical solutions in the areas of home networking, consumer networking, enabling technologies (such as middleware) and novel applications and services. The conference will include a peer-reviewed program of technical sessions, special sessions, business application sessions, tutorials, and demonstration sessions
IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.
Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...
The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes
2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), 2016
The objective of this paper are: (a) to test and validate customer experience quality scale (EXQ) in the Indian retail store context, (b) to see how dimensions of experience quality scale explain customer satisfaction in the Indian retail store context. In this study we have utilised 346 responses on which the analysis was done. Factor analysis and linear multiple regression ...
2013 Sixth International Symposium on Computational Intelligence and Design, 2013
Based on the degree of participation and contribution, the current study classified online community users into four categories, which are active login, active participant, indirect contributor and direct contributor. In order to help enterprises understand how users of different categories behave and how to guide users to the category which is beneficial to the enterprise's marketing efforts, the study adopted ...
2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016
`You cannot step into the same water twice', in other words `change is law of life' and `everything changes and nothing stands still' said Heraclitus, a prominent Greek Philosopher. In this similar line Changes in consumer behavior is not an exception as consumers are a dynamic and progressive and who change themselves according to the signs of time. This paper ...
Canadian Conference on Electrical and Computer Engineering 2004 (IEEE Cat. No.04CH37513), 2004
In Zahir Azami, et al. (2004) the authors have presented a solution for mobile payment on a non-connected vending machine platform, with two methods: one manual and the other automatic (with infrared). The solution is a hybrid system, i.e., it accepts these two payment methods as well as currency (principally coins). The first observation is that users will use the ...
2009 International Symposium on Information Engineering and Electronic Commerce, 2009
Virtual market, essential nature of electronic commerce (EC), determines credit risk is the key factor influencing consumer attitude and behavior. Based on TRA and TAM theories, this paper introduces online credit risk and perceived factors into consumer behavior model, and builds a consumer behavior model based on EC credit risk. After that, the paper uses statistical software SPSS 12 to ...
Mathematical Evolution of Human Behaviors - Osama Salah Eldin
Provably-Correct Robot Control with LTLMoP, OMPL and ROS
IEEE Themes - Learning about human behavior from mobile phone data
Antonio Skarmeta: ARMOUR: Large-Scale Experiments for IoT Security and Trust: WF-IoT 2016
Advanced Capacitive Sensing for Consumer, Industrial, and Automotive Applications - Lecture by Dr. Hans Klein
IEEE Top Trends for 2012 at CES: Metadata Automatically Organizes Digital Content
IEEE Magnetics Distinguished Lecture - Alison B. Flatau
Network Analysis: RF Boot Camp
Uncovering the Neural Code of Learning Control - Jennie Si - WCCI 2012 invited lecture
Video Game Workout
IMS 2015: Typical issues of wearable electronics examined prior to commercial products
Gift Guide Preview: Robotic Dinosaurs Get Big
Speaker Jessica Groopman - ETAP San Jose 2015
Hands-On with Biscuit, the Somewhat Obedient Dog
CES 2008: Ford and Microsoft Show Off Voice-Activated Sync
Ready, Fire, Aim - Highlights of Hot Chips 20
Bug Labs: How an Open Source Gadget Works
CES 2008: Herman Miller's C2 Climate Control for the desktop
The objective of this paper are: (a) to test and validate customer experience quality scale (EXQ) in the Indian retail store context, (b) to see how dimensions of experience quality scale explain customer satisfaction in the Indian retail store context. In this study we have utilised 346 responses on which the analysis was done. Factor analysis and linear multiple regression were used to fulfill the objectives of this study. The result obtained from the multiple regression output reveals that all components of CEQ scale significantly influence customer satisfaction in Indian retail stores context.
Based on the degree of participation and contribution, the current study classified online community users into four categories, which are active login, active participant, indirect contributor and direct contributor. In order to help enterprises understand how users of different categories behave and how to guide users to the category which is beneficial to the enterprise's marketing efforts, the study adopted the relatively static variable of consumer's role to represent the dynamic consumer behaviors and empirically tested the path of user's role formation in an enterprise's official community with the applications of SEM.
`You cannot step into the same water twice', in other words `change is law of life' and `everything changes and nothing stands still' said Heraclitus, a prominent Greek Philosopher. In this similar line Changes in consumer behavior is not an exception as consumers are a dynamic and progressive and who change themselves according to the signs of time. This paper delves into the fact of changing consumer behavior in the light of marketing and in `Make in India'. It explicates how a consumer and more specifically an Indian consumer could update and adapt himself in the growing digital milieu. The impact of `Make in India' on changing consumer behavior are dealt in this workshop. In nut-shell this thesis sheds the light upon the demand, the power of consumer and the challenges of marketers.
In Zahir Azami, et al. (2004) the authors have presented a solution for mobile payment on a non-connected vending machine platform, with two methods: one manual and the other automatic (with infrared). The solution is a hybrid system, i.e., it accepts these two payment methods as well as currency (principally coins). The first observation is that users will use the system with any of the three methods and we can not deterministically find when and how users will pay for their purchases on the vending machines. However, the consumer behavior is very important for answering several questions. For instance knowing the percentage of total transactions by a mobile allows us to validate the business case on the system. Knowing the percentage and the distribution of the mobile transactions per total transactions allows us to engineer an optimal route management system. It also permits to more accurately design for capacity in the back-end server. However, there are several parameters that can significantly impact the consumer behavior, as people have different priorities. Some of the main parameters are the type of vending machine or sales outlet (cold beverage, snack, food, hot beverage, parking meter, public transport, etc); the location of the sales outlet and the demography of the location (university campus, manufacturing area, business offices, public places, etc); whether or not there is a surcharge for the mobile transactions and how much it is; the time of the day/day of the week season, etc. It is assumed that for the coin transaction, there is no inventory data transmission, for manual mode there is a small amount of information and for the automatic mode much more data can be transmitted. So the inventory information in the back-end server is sampled with a variable sampling frequency and a variable bit rate. This paper addresses the modeling for such a complex customer behavior, by applying simulation and comparing the results to real data obtained from field trials.
Virtual market, essential nature of electronic commerce (EC), determines credit risk is the key factor influencing consumer attitude and behavior. Based on TRA and TAM theories, this paper introduces online credit risk and perceived factors into consumer behavior model, and builds a consumer behavior model based on EC credit risk. After that, the paper uses statistical software SPSS 12 to make reliability analysis and hypothesis testing of the model, which reveal the influencing mechanism of credit risk on EC consumer behavior. Finally, this paper thinks that EC companies should begin with the three kinds of perceived factors influencing on-line credit risk to reduce consumerspsila expected credit risk of EC transactions and enhance the online consumer participation.
Several information goods, such as movie distribution rights or newspapers, are sold either at spot prices, or through forward subscription buying. The paper considers a firm that offers an information goods product through spot buying, or through forward buying at a reduced price, or a combination of the two. We propose a consumer decision-making model that captures the market reaction to such an offering and provide interesting insights into the key elements of the consumer behavior. We show how firms selling information goods can increase their revenues by using a mixed offering strategy using both spot and forward offerings. This strategy may provide an effective price discrimination setting when there are potentially heterogeneous groups of customers in terms of their reservation prices. We also formulate the firm's problem when it is either a price taker or a price setter.
Why you always buy something on a website, not on another. Whether does information presentation impact your decision? How to impact? At present, many attentions have been paid to it. In this study, we make some hypotheses about this problem, then in two business sites: "Amazon" & "Taobao", choose two commodities: books and clothing to do a survey, through online questionnaire and data analysis by the software of SPSS. As a result, all hypotheses are tested. We find information presentation has a positive associated with the consumer's online purchasing decision and to different types of commodities, information format and content have different effects. In detail, to personalized commodities, information format has more impact on it, and to general commodities, information content is more concerned by consumers.
Although online shopping is becoming a vital part of commerce, it is unclear what factors contribute to its acceptance by consumer. This research builds a model for analyzing antecedent factors affecting consumer's attitude towards online shopping. Technology Acceptance Model (TAM) and Innovation Diffusion Theory (IDT) are the theoretical foundation in this paper. Key perceived characteristics of the web as a shopping channel are chosen to add into the model. The chosen characteristics of the web are Web site quality, perceived risk, trust and enjoyment. Finally, a modified Technology Acceptance Model combined with Innovation Diffusion Theory which can analyze consumer's adoption of online shopping from a web shopping channel view has formed.
Knowledge-intensive business services (KIBS) show the service specialized, knowledgeable, customized features, which determines its customers with a highly participatory and interactive. The reasonable classification of the customer will contribute to offering better solutions for the problem to meet customer's demand. Combined with tures of KIBS customer services, this paper points out that the market segmentation is no longer limited to variables of customer behavior characteristics, poses the afterwards market segmentation strategy based on attitude variables. Describes traditional K-means and SOFM cluster methods, proposes SVC(support vector clustering) algorithm to conduct market segmentation. Through application case of market segmentation the paper contrasted clustering effect of three methods, improving the ability to determine the effect of classification and advantages.
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