A Design Functionality Study of IDM Web-Stores

One of the advantages of conducting business over the Internet is the ability to collect information about customer preferences in order to serve them accordingly. Personalisation provides a means of doing this. In this paper, we have attempted to study the effect of personalisation on the success of IDM web-stores. The major contribution of our paper is the extension of the IDM Platform Functionality Model of Srinivasan et al [24] to include personalisation. The second contribution is the investigation of six personalisation features that specify and describe this functionality in its various forms. We have used both quantitative and qualitative research techniques such as click-stream analysis and emphatic design in a focus group. Our findings suggest that personalisation is a significant component of IDM web-store design

Adaptive User Interfaces for Intelligent E-Learning: Issues and Trends

Adaptive User Interfaces have a long history rooted in the emergence of such eminent technologies as Artificial Intelligence, Soft Computing, Graphical User Interface, JAVA, Internet, and Mobile Services. More specifically, the advent and advancement of the Web and Mobile Learning Services has brought forward adaptivity as an immensely important issue for both efficacy and acceptability of such services. The success of such a learning process depends on the intelligent context-oriented presentation of the domain knowledge and its adaptivity in terms of complexity and granularity consistent to the learner’s cognitive level/progress. Researchers have always deemed adaptive user interfaces as a promising solution in this regard. However, the richness in the human behavior, technological opportunities, and contextual nature of information offers daunting challenges. These require creativity, cross-domain synergy, cross-cultural and cross-demographic understanding, and an adequate representation of mission and conception of the task. This paper provides a review of state-of-the-art in adaptive user interface research in Intelligent Multimedia Educational Systems and related areas with an emphasis on core issues and future directions

Product Intelligence: Its Conceptualization, Measurement and Impact on Consumer Satisfaction

In the last decade, companies have developed a large number of intelligent products. Due to the use of information technology, these products, for example, are able to work autonomously, cooperate with other products, or adapt to changing circumstances. Although intelligent products appear an attractive category of products, they have received little attention in the literature. The present article provides a conceptualization of the new construct of product intelligence and describes the development procedure of a measure for the construct. In addition, the article sets up and empirically tests a conceptual framework in which product intelligence leads to consumer satisfaction through the innovation attributes of relative advantage, compatibility, and complexity. Managerial implications for new product development and marketing of intelligent products are considered and suggestions for further research provided.Adoption;Innovation;Intelligent products;New product development;Smart products

How today's consumers perceive tomorrow's smart products

This paper investigates consumer responses to new smart products. Due to the application of information technology, smart products are able to collect, process, and produce information and can be described as "thinking" for themselves. In this study, 184 consumers respond to smart products that are characterized by two different combinations of smartness dimensions. One group of products shows the smartness dimensions of autonomy, adaptability, and reactivity. Another group of smart products are multifunctional and able to cooperate with other products. Consumer responses to these smart products are measured in terms of the innovation attributes of relative advantage, compatibility, observability, complexity, and perceived risk. The study shows that products with higher levels of smartness are perceived to have both advantages and disadvantages. Higher levels of product smartness are mainly associated with higher levels of observability and perceived risk. The effects of product smartness on relative advantage, compatibility, and complexity vary across product smartness dimensions and across product categories. For example, higher levels of product autonomy are perceived as increasingly advantageous whereas a high level of multifunctionality is perceived disadvantageous. The paper discusses the advantages and pitfalls for each of the five product smartness dimensions and their implications for new product development and concludes with a discussion of the limitations of the study and suggestions for further research

How Today’s Consumers Perceive Tomorrow’s Smart Products

This manuscript investigates consumer responses to new smart products. Due to the application of information technology, smart products are able to collect, process and produce information, and can be described to ‘think’ for themselves. In this study, consumers respond to smart products that are characterized by two different combinations of smartness dimensions. One group of products shows the smartness dimensions of autonomy, adaptability and reactivity. Another group of smart products are multifunctional and can cooperate with other products. We measure consumer responses to these smart products in terms of the innovation attributes of relative advantage, compatibility, observability, complexity and perceived risk. A study among 184 consumers shows that products with higher levels of smartness are perceived to have both advantages and disadvantages. Higher levels of product smartness are mainly associated with higher levels of observability and perceived risk. The effects of product smartness on relative advantage, compatibility and complexity vary across product smartness dimensions and across product categories. For example, higher levels of product autonomy are perceived as increasingly advantageous while a high level of multifunctionality is perceived disadvantageous. The paper discusses the advantages and pitfalls for each of the five product smartness dimensions and their implications for new product development (NPD). The manuscript concludes with a discussion of the limitations of the study and it provides suggestions for further research

Product Intelligence: Its Conceptualization, Measurement and Impact on Consumer Satisfaction

In the last decade, companies have developed a large number of intelligent products. Due to the use of information technology, these products, for example, are able to work autonomously, cooperate with other products, or adapt to changing circumstances. Although intelligent products appear an attractive category of products, they have received little attention in the literature. The present article provides a conceptualization of the new construct of product intelligence and describes the development procedure of a measure for the construct. In addition, the article sets up and empirically tests a conceptual framework in which product intelligence leads to consumer satisfaction through the innovation attributes of relative advantage, compatibility, and complexity. Managerial implications for new product development and marketing of intelligent products are considered and suggestions for further research provided

Collecting valuable consumer data: Motivating consumers to disclose personal information

Collecting and analyzing consumer data is essential in today’s data-driven business environment. However, consumers are becoming more aware of the value of the information they can provide to companies, thereby being more reluctant to share it for free. Therefore, companies need to find ways to motivate consumers to disclose personal information. The main research question of the study was formed as “How can companies motivate consumers to disclose personal information?” and it was further divided into two subquestions: 1) What types of benefits motivate consumers to disclose personal information? 2) How does the disclosure context affect the consumers’ information disclosure behavior? The conceptual framework consisted of a classification of extrinsic and intrinsic benefits, and moderating factors, which were recognized on the basis of prior research in the field. The study was conducted by using qualitative research methods. The primary data was collected by interviewing ten representatives from eight companies. The data was analyzed and reported according to predetermined themes. The findings of the study confirm that consumers can be motivated to disclose personal information by offering different types of extrinsic (monetary saving, time saving, self-enhancement, and social adjustment) and intrinsic (novelty, pleasure, and altruism) benefits. However, not all the benefits are equally useful ways to convince the customer to disclose information. Moreover, different factors in the disclosure context can either alleviate or increase the effectiveness of the benefits and the consumers’ motivation to disclose personal information. Such factors include the consumer’s privacy concerns, perceived trust towards the company, the relevancy of the requested information, personalization, website elements (especially security, usability, and aesthetics of a website), and the consumer’s shopping motivation. This study has several contributions. It is essential that companies recognize the most attractive benefits regarding their business and their customers, and that they understand how the disclosure context affects the consumer’s information disclosure behavior. The likelihood of information disclosure can be increased, for example, by offering benefits that meet the consumers’ needs and preferences, improving the relevancy of the asked information, stating the reasons for data collection, creating and maintaining a trustworthy image of the company, and enhancing the quality of the company’s website.siirretty Doriast

Online consumer motivation Towards an understanding of A priori motivations in ecommerce interactions

This dissertation is broken into three essays that focus on how a priori motivation can play an important role in ecommerce outcomes. The first essay theoretically develops the online consumer motivation construct. Online consumer motivation provides a clearing house for how a user's individual characteristics and the task at hand will influence perceptions of technology presentation. Further, it is proposed that by offering a Web site interface that is congruent with the user's online consumer motivation, Web site utilization and task performance will improve. In addition to the conceptual model, several propositions predict the interplay of key constructs. The paper concludes with a prescriptive protocol for testing the proposed theory as well as for guiding the design of ecommerce Web sites. The second essay focuses on conceptualizing and developing an instrument for online consumer motivation. Specifically, this essay identifies the important extant literature in both psychology and an information system then can be extended to provide grounds for online consumer motivation. The second essay uses two laboratory experiments to validate the scales used to measure online consumer motivations. The third and final essay uses Task-Technology Fit theory to posit a temporal view of online consumer motivation (i.e., why a user has chosen to visit a particular Web site at a given time) that can inform Web site design. This includes one laboratory experiment and one survey study to provide: 1) empirical evidence if the existence of online consumer motivation, 2) the affect of online consumer motivation on ecommerce outcomes and 3) a future stream of research. By first offering a theoretical development of online consumer motivation, followed by the instrument development and then the empirical instantiation, this dissertation hope to not only inform research but also provide guidance to ecommerce practitioners