Search results

This research reviews numerous studies of the relationship between consumer knowledge and external search in conventional marketing channels to investigate differences among these studies that have produced conflicting results. The findings provide a benchmark for future researchers and practitioners seeking to gain insight into consumer information search processes unfolding in the new environment of online, mobile, and social networking channels.

A meta-analysis of an extensive array of empirical studies of the relationship between consumer knowledge and external information search was conducted. Regression analysis was used to test whether certain characteristics in the studies can explain variability in the effect sizes in which effect sizes are entered as dependent variables and moderators as independent variables.

Objective and subjective knowledge tend to increase search, while direct experience tends to reduce search. Consumers with higher objective knowledge search more when pursuing credence products. However, they search relatively less when pursuing search products. Consumers with higher subjective knowledge are much more likely to search in the context of experience products, but as is the case for objective knowledge having little effect on search for experience products, subjective knowledge has no significant effect on information seeking for search products. In addition, objective knowledge facilitates more information search in a complex decision-making context while higher subjective knowledge fosters more external information search in a simple decision-marketing context. Finally, the findings indicate that the knowledge search relationship reflects strong linkage in the pre-Internet era.

Relatively little is known about how the relationship between knowledge and information search varies across different types of products in simple or complex decision-making contexts. This study begins to fill this gap by providing insight into the relative importance of objective knowledge, subjective knowledge, and direct experience in influencing consumer information search activities for search, experience, and credence products in simple or complex decision-making contexts.

The role of knowledge, organizational learning and innovation as levers of competitive advantage is now a commonly acknowledged insight in research in international management, specifically in the emerging ‘knowledge-based view’. However, this view has not yet developed into a unifying framework and there are significant holes in the understanding of how knowledge may be turned into a source of competitive advantage for MNCs. In order to advance the knowledge-based view of the MNC – and particularly of the metanational company – we develop the notion of the MNC as a global knowledge system that links local knowledge structures and combines local knowledge elements that are complementary in order to achieve strategic advantage. These ideas are used to frame the changing environments, strategic intents and learning stances that characterize MNCs, and to derive a set of research challenges for MNC research.

A comparative analysis of the results of two longitudinal studies conducted a decade apart, among research post-graduate students, with the purpose of understanding the progress in their information literacy (IL) skills, forms the content of this report. The analysis is based on the application of the Research and Information Search Expertise (RISE) model, which traces students’ progression across four stages of expertise. Such progression was measured across two dimensions of knowledge: that of information sources/databases and that of information search skills. Both studies adopted basic interpretive qualitative methods involving direct observation, interviews, think-aloud protocols, and survey questionnaires, during each of the five interventions, which were spread over a one to one-and-half year period. Scaffolding training was provided at each meeting and data were collected to assess the influence of such training on development of search expertise. A comparison of the findings reveals that students in both studies advance in their IL skills largely in a similar manner. Scaffolding support was found to help both dimensions of knowledge and that lack of one or the other type of knowledge could hinder their ability to find relevant sources for their research. The studies make evident the need for training programs for higher education students, to improve both their knowledge of information sources and their search techniques, tailor-made to closely correlate to their specific information needs. The studies provide insights into student behaviors in the development of IL skills, and the RISE model offers a framework for application to other similar research.

This chapter explores a descriptive theory of multidimensional travel behaviour, estimation of quantitative models, and demonstration in an agent-based microsimulation.

A descriptive theory on multidimensional travel behaviour is conceptualised. It theorizes multidimensional knowledge updating, search start/stopping criteria, and search/decision heuristics. These components are formulated or empirically modelled and integrated in a unified and coherent approach.

The theory is supported by empirical observations and the derived quantitative models are tested by an agent-based simulation on a demonstration network.

Based on artificially intelligent agents, learning and search theory, and bounded rationality, this chapter makes an effort to embed a sound theoretical foundation for the computational process approach and agent-based microsimulations. A pertinent new theory is proposed with experimental observations and estimations to demonstrate agents with systematic deviations from the rationality paradigm. Procedural and multidimensional decision-making are modelled. The numerical experiment highlights the capabilities of the proposed theory in estimating rich behavioural dynamics.

Expert searchers engage with information in a variety of professional settings, as information brokers, reference librarians, information architects and faculty who teach advanced searching. As my recent research shows, the expert searcher’s information experience is defined by profound discernment of critical concepts about information, and a fluid ability to apply this knowledge to their engagement with the information environment. The information experience of the expert searcher means active and intentional participation with the processes and players that created that information environment. Expert searchers become an integral and seamless part of their information environment and also play a role in facilitating the information experiences of others.

In this chapter, after discussing my understanding of the concept of information experience, I outline how I used threshold concept theory to explore the information experience of expert searchers. Through the findings, I identify four threshold concepts in the acquisition of search expertise that provide new perspectives on the information experience of the expert searcher. These new perspectives have implications for search engine design and how advanced search skills are taught. Finally, I consider how the fresh insights about the expert searcher’s experiences contribute to wider understanding about information experience.

This study investigated the design of three online public library catalogs in light of the cognitive ability and success of children ages five to eight.

A quasi-experimental approach was employed to examine the influence of system design on children’s searching strategies and search success. Interviews were used to explore children’s rationale for using icons and taxonomies in the catalogs. Fifty one children from one public library participated in this study. Inferential statistics were utilized to whether significant differences existed between use of the catalogs and the children’s success in finding information.

Use of images and text were helpful in searching the catalogs. Results of the ANOVA test indicated no significant difference among children’s searching success rates and the three catalogs. Additionally, the participants misidentified representations used in icons in all three catalogs and created valid search paths that did not produce results. There was a disconnect between the children’s cognitive abilities and the design representations of the three catalogs.

The study took place in one location, thus one should not overgeneralize the findings. Use of assigned tasks may have affected children’s success rates. Children’s searching using printed cards of display screens from the three catalogs instead of real-time interaction with them is also a limitation.

Because of the children’s reliance on images, the choice of visual representations is crucial to successful searching. Interface designers should involve young users in the design of today’s online catalogs. They should also consider new forms of representations such as auditory icons, verbal mouse overs, and zooms.

In addition to addressing the need for research on young children’s information seeking and use of online catalogs in public libraries, this research focuses on the need for an additional layer of visual representation and highlights flaws in currently used catalog designs.

With the continuous development of intelligent technologies, knowledge graph, the backbone of artificial intelligence, has attracted much attention from both academic and industrial communities due to its powerful capability of knowledge representation and reasoning. Besides, knowledge graph has been widely applied in different kinds of applications, such as semantic search, question answering, knowledge management, and so on. In recent years, knowledge graph techniques in China are also developing rapidly and different Chinese knowledge graphs have been built to support various applications. Under the background of “One Belt One Road (OBOR)” initiative, cooperating with the countries along OBOR on studying knowledge graph techniques and applications will greatly promote the development of artificial intelligence. At the same time, the accumulated experience of China on developing knowledge graph is also a good reference. Thus, in this chapter, the authors mainly introduce the development of Chinese knowledge graphs and their applications. The authors first describe the background of OBOR, and then introduce the concept of knowledge graph and three typical Chinese knowledge graphs, including Zhishi.me, CN-DBpedia, and XLORE. Finally, the authors demonstrate several applications of Chinese knowledge graphs.

Scholars have examined, in various ways, the complexity of knowledge in innovation. Recently, research has begun to focus on the role of a continuous process of knowledge recombination in our understanding of a changing structure of knowledge complexity and knowledge accumulation. Furthermore, we also claim that this process may reflect changes in the underlying innovation paradigm, or in other words the arrival of the information age. Yet, little is known about how knowledge complexity is increasing in the broader context of globalization, in which the influence of a rising diversity of locational sources may feature more prominently. We consider how knowledge recombination that relies upon the global spread of innovation activities will affect our theory of the relationship through which earlier contributions to knowledge become inputs to subsequent knowledge building that generates more (or less) complex knowledge artifacts. We propose that knowledge complexity rises when recombined elements are sourced across two dimensions of distance simultaneously, namely when sources which are derived from (i) disparate knowledge fields and (ii) distinct geographic locations are combined. We thereby develop an international business perspective on knowledge complexity through recombination by better appreciating the processes that may be necessary when knowledge is combined along global value chains. We also suggest some implications for changing organizational forms by highlighting the value of connecting previously unconnected geographically distant elements, which suggests a greater potential for more informal and indirectly diffused knowledge-based connections.

Strategy scholars have long argued that breakthrough innovation is generated by recombining knowledge from distant domains. Even if firms have the ability to access and absorb knowledge from distant domains, however, they may fail to pay attention to such knowledge because it is seemingly irrelevant to their tasks. We draw attention to this problem of knowledge relevance and develop a theoretical model to illuminate how ideas from seemingly irrelevant (i.e., peripheral) domains can generate breakthrough innovation through the cognitive process of analogical reasoning, as well as the conditions under which this is more likely to occur. We situate our theoretical model in the context of teams in order to develop insight into the microfoundations of knowledge recombination within firms. Our model reveals paradoxical requirements for teams that help to explain why breakthrough innovation is so difficult.