Who Spends More Online? The Influence of Time, Usage Variety, and Privacy Concern on Online Spending

The paper tests the influence of adoption time, online time, usage variety, and privacy concern on online spending. Findings support the hypothesis that online time, adoption time, and usage variety, the three dimensions of Internet usage experience, have a positive and significant influence on the amount of money consumers spend online, and privacy concern has a negative and significant influence. The control variables included in the model are gender, age, education, and income. Gender, age, and education did not influence online spending. However, income has a significant effect on online spending. Theoretical and strategic implications and recommendations for future research are presented

On the motivating impact of price and online recommendations at the point of online purchase

This is the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2011 ElsevierDo online recommendations have the same motivating impact as price at the point of online purchase? The results (n = 268) of an conjoint study show that: (1) when the price is low or high relatively to market price, it has the strongest impact (positive and negative) on the likelihood of an online purchase of an mp3 player, (2) when the price is average to market price, online recommendation and price are equal in their impact at the point of online purchase, and, (3) the relative impact from price increases when online shopping frequencies increases. The implications these results give are that online retailers should be aware that online recommendations are not as influential as a good offer when consumers purchase electronics online. However, other customer recommendations have a stronger impact on novice online shoppers than towards those consumers that shop more frequently online

Effects of White Space on Consumer Perceptions of Value in E-Commerce

As e-commerce becomes an increasingly large industry, questions remain about how the isolated effects of design elements on websites influence consumer perceptions and purchasing behavior. This study used a quantitative approach to measuring the effect of a ubiquitous element of design, white space, on the perception of the monetary value of individual items. White space is a key component of design and website usability, yet it has been shown to be related to the perception of luxury. Little is known about the direct relationship between manipulation of white space and the outcomes on consumer perceptions of value in an e-commerce context. This study found no significant difference between two levels of total white space area (large vs. small) measured by participants\u27 perceived cost of items (chairs). In contrast, while holding total white space constant, the effect of white space distance between images was significant for males but not for females. Additionally, no significant relationship between gender and frequency of online shopping behavior was found, χ2(1) = 3.19, p = .07, ϕ = .17. Gender and amount of time spent per month online were significantly related, χ2(1) = 6.21, p = .013, ϕ = .24

The attentional drift-diffusion model extends to simple purchasing decisions

How do we make simple purchasing decisions (e.g., whether or not to buy a product at a given price)? Previous work has shown that the attentional drift-diffusion model (aDDM) can provide accurate quantitative descriptions of the psychometric data for binary and trinary value-based choices, and of how the choice process is guided by visual attention. Here we extend the aDDM to the case of purchasing decisions, and test it using an eye-tracking experiment. We find that the model also provides a reasonably accurate quantitative description of the relationship between choice, reaction time, and visual fixations using parameters that are very similar to those that best fit the previous data. The only critical difference is that the choice biases induced by the fixations are about half as big in purchasing decisions as in binary choices. This suggests that a similar computational process is used to make binary choices, trinary choices, and simple purchasing decisions

The Interface of Technology in Culinary Arts Education

Introduction: A culinary educator must make many decisions that affect the day-to-day activities in both the classroom and the lab. One of the more important decisions is how to select the most appropriate technology to implement for use in teaching and administrative activities. The research presented here is intended to help the educator identify specific needs, decide where the use of technology is desirable, and offer information designed to help the educator make an informed decision about using technology as a teaching tool. Purpose Statement: The purpose of this paper is to inform the culinary educator about the technology available for use in both the classroom and the lab setting. There is an ever-increasing pool of technology, making it more important than ever that the educator choose the appropriate lab/kitchen equipment and software programs for use in a specific culinary program. Making an informed decision ensures maximum usefulness of the technology in the setting

Multimedia and Decision-Making Process

Multimedia technology has changed the way we use computers. Multimedia transforms com-puters into a second person. Multimedia technology has made it possible for us to see, hear, read, feel, and talk to computers. Multimedia technology has transformed our use and understanding of computers. On the other hand, multimedia presentation is one of the fastest-growing sectors of the computer industry. Applications have appeared in many areas, such as training, education, business presentation, merchandising, and communications.multimedia, decision, studies, mining, architecture

Cognitive load during planned and unplanned virtual shopping:Evidence from a neurophysiological perspective

Rapid adoption of virtual-reality-assisted retail applications is inadvertently reshaping consumer buying patterns, making it crucial for businesses to enhance their shopping experience. This new scenario challenges marketers with unique hurdles in both the commercialization of products and in managing information cues derived via VR retailing. Therefore, this study examined consumers’ impulsive behavior and unplanned purchases in a virtual retail store, using self-reports and electroencephalography. Borrowing assorted perspectives from retailing, virtual reality, and neuromarketing literature, we extended the stimulus-organism-response framework to evaluate how unplanned behavior evolves through conscious and unconscious measures. We found that consumers’ impulsiveness was significantly associated with their unplanned expenditure and the number of unplanned purchases. Using mediation analysis, we observed that flow experience during shopping partially mediated the relationship between the sense of presence and the desire to stay longer in a virtual shopping store. Desire to stay in the virtual store positively influenced store satisfaction, basket-size deviation, and budget deviation. Additionally, cognitive workload obtained via electroencephalogram revealed significant differences during both planned and unplanned purchases. These findings provide fresh opportunities for retailers to leverage the disruptive potential of immersive and interactive virtual technology to transform consumer shopping experiences

The Role of Executive Function in Impulsive Consumer Purchasing Behavior

This study was designed to investigate the relationships between executive function, impulsivity, and personality within consumer behavior. In particular, this study tested whether executive function influences consumer decision making. In order to answer that question, three datasets were analyzed. In Study 1A, a dataset was collected of self-report measures (N=6,122) and was analyzed to investigate the role of executive function with impulsiveness and personality on consumer behavior. In this dataset, a self-report measure for executive function (EFI) was employed. In Study 1B., a second data set (N=6,000) of self-report measures was collected and analyzed to validate the results from the first data set. In Study 2, behavioral measures of inhibitory control, cognitive flexibility, and working memory capacity were subsequently analyzed to identify relations with consumer behavior. Additionally, a correlational analysis was conducted on the self-report measure Executive Function Index (EFI), with cognitive measures previously determined to measure cognitive flexibility, working memory, and executive attention in order to identify variance overlap with executive functioning. Results for these studies demonstrated that components of executive function—particularly inhibitory control and working memory capacity—are related to impulsive consumer decision making. Further, these data illuminate the relation between a self-report measure of executive function and performance-based assessments. It appears that the Executive Function Index may be more closely related to self-reported personality than to task-based inhibition, working memory, or cognitive flexibility

Understanding Consumer Decision Making for Complex Choices: The Effects of Individual and Contextual Factors

E-commerce consumers are facing increasingly complex purchasing decisions. Due to their cognitive capacity, however, consumers may not always achieve their goal of optimal product choice. Existing research has focused on providing aids to consumers to help them make rational and conscious information choices for complex purchasing decisions. Recently, a dual-process Unconscious Thought Theory (UTT) has suggested otherwise. It shows that due to the limited cognitive resources, unconscious information processing may outperform conscious information processing for complex decisions. Drawing on the UTT, the study proposes that strategically designed interventions would interact with other contextual and individual factors in consumer information processing, and ultimately lead to superior consumer choice under certain choice environment. An experiment was conducted to test the research model. Focusing on the unconscious information processing in online shopping, this study has important implications for Web-specific human-computer interaction research and e-commerce practitioners

Using Noninvasive Brain Measurement to Explore the Psychological Effects of Computer Malfunctions on Users during Human-Computer Interactions

In today’s technologically driven world, there is a need to better understand the ways that common computer malfunctions affect computer users. These malfunctions may have measurable influences on computer user’s cognitive, emotional, and behavioral responses. An experiment was conducted where participants conducted a series of web search tasks while wearing functional nearinfrared spectroscopy (fNIRS) and galvanic skin response sensors. Two computer malfunctions were introduced during the sessions which had the potential to influence correlates of user trust and suspicion. Surveys were given after each session to measure user’s perceived emotional state, cognitive load, and perceived trust. Results suggest that fNIRS can be used to measure the different cognitive and emotional responses associated with computer malfunctions. These cognitive and emotional changes were correlated with users’ self-report levels of suspicion and trust, and they in turn suggest future work that further explores the capability of fNIRS for the measurement of user experience during human-computer interactions