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The purpose of this research is to aim to improve the cognitive understanding of knowledge processing and provide a cognitive knowledge modeling method in product design.

In this paper, a cognitive model of knowledge processing is described. A cognitive knowledge modeling method is presented. Suggestions on cognitive support for knowledge based systems are provided.

There is often a fundamental mismatch between the way human process knowledge and the way it is processed by technology for supporting product design. It is necessary to develop tools, methods and technology which integrate seamlessly with the design process. This study focuses on the internal human activities and explores knowledge management research from a human factors perspective. Cognitive knowledge modeling will result in a natural integration of knowledge‐based systems into the design process.

This study uses an experimental approach and hopefully the research can therefore be generalized to other situations.

This study provides guidelines for cognitive support for knowledge‐based systems.

Cognitive knowledge processing is described and a cognitive knowledge modeling method is presented. The paper explores knowledge management research by analyzing human activities, in combination with the study of management and engineering technologies.

Online privacy research has seen a focus on user behavior over the last decade, partly to understand and explain user decision-making and seeming inconsistencies regarding users' stated preferences. This article investigates the level of modeling that contemporary approaches rely on to explain said inconsistencies and whether drawn conclusions are justified by the applied modeling methodology. Additionally, it provides resources for researchers interested in using computational modeling.

The article uses data from a pre-existing literature review on the privacy paradox (N = 179 articles) to identify three characteristics of prior research: (1) the frequency of references to computational-level theories of human decision-making and perception in the literature, (2) the frequency of interpretations of human decision-making based on computational-level theories, and (3) the frequency of actual computational-level modeling implementations.

After excluding unrelated articles, 44.1 percent of investigated articles reference at least one theory that has been traditionally interpreted on a computational level. 33.1 percent of all relevant articles make statements regarding computational properties of human cognition in online privacy scenarios. Meanwhile, 5.1 percent of all relevant articles apply formalized computational-level modeling to substantiate their claims.

The findings highlight the importance of formal, computational-level modeling in online privacy research, which has so far drawn computational-level conclusions without utilizing appropriate modeling techniques. Furthermore, this article provides an overview of said modeling techniques and their benefits to researchers, as well as references for model theories and resources for practical implementation.

Although cognitive apprenticeship has been widely used in various educational fields, few empirical studies have examined its effectiveness in a workplace context. This study aims to investigate the effects of cognitive apprenticeship on junior doctors’ perceived professional growth in hospitals.

A retrospective questionnaire survey was performed that asked surgeons (n = 87) and physicians (n = 92) to recall how they were instructed by their supervisors during the first five years after graduation from medical school.

The results of multiple regression analyzes showed that all dimensions of cognitive apprenticeship (modeling, coaching, scaffolding, articulation, reflection and exploration) had positive effects on each doctor’s perceived growth, regardless of the type of clinical practice (surgeon vs physician) or the period of supervision. It was also found that physicians experienced significantly more coaching and scaffolding, and opportunities for, articulation and reflection, than surgeons.

Some of the data were collected through snowball sampling, and this study used a retrospective survey in which respondents were asked to recall past experiences.

Clinical supervisors in hospitals should adopt a cognitive apprenticeship model when supervising junior doctors. Surgical supervisors need to be more conscious of the benefits of cognitive apprenticeship.

This study confirmed that the six dimensions of cognitive apprenticeship had positive influences on the perceived growth of junior doctors, regardless of their clinical domains or period of supervision and that clinical domains influence the implementation of cognitive apprenticeship.

This paper aims to illustrate how mobile devices could be applied to substantiate cognitive apprenticeship model to optimize nursing students’ learning experiences in clinical settings.

Eight female students from a nursing college in Taiwan were recruited in this study. They enrolled in a three-week nursing clinical practicum session in the area of psychiatric nursing.

Analysis of interview data from students and instructor showed that use of the mobile technology could promote the effectiveness of cognitive apprenticeship model, especially for processes of reflection, coaching, scaffolding and articulation.

The present study intended to bridge the gap between mobile technologies and cognitive apprenticeship. This study explores students’ experiences and expectations of using mobile technology in clinical nursing courses and clarifies how the cognitive apprenticeship model fits students’ experiences during using mobile technology in the clinical nursing course.

Specialty drug development is capital‐intensive and represents a new era for the entire health ecosystem. This “newness” has resulted in below‐par sales performance of these drugs. This paper seeks to explore the intricate relationship of product (or company), salespersons, doctors and consumers (patients) in the given scenario.

The study makes use of grounded theory and total interpretive structural modeling (TISM). Grounded theory is used to explore various factors of cognitive bias in selling specialty drugs. TISM is used to create a hierarchy amongst the factors and interpret the relationships amongst them.

The study proposes a cognitive bias amplification model explaining the phenomenon of cognitive bias in specialty pharmaceutical selling.

The study fills part of the significant research gap and addresses the issues in selling specialty drugs. The cognitive bias amplification model is helpful in providing the starting point for sales‐centric organizations to overcome the cognitive bias affecting salespersons.

On shield tunnel construction (STC) site, human error is widely recognized as essential to accident. It is necessary to explain which factors lead to human error and how these factors can influence human performance. Human reliability analysis supports such necessity through modeling the performance shaping factors (PSFs). The purpose of this paper is to establish and validate a PSF taxonomy for the STC context.

The approach taken in this study mainly consists of three steps. First, a description of the STC context is proposed through the analysis of the STC context. Second, the literature which stretch across the PSF methodologies, cognitive psychology and human factors of STC and other construction industries are reviewed to develop an initial set of PSFs. Finally, a final PSF set is modified and validated based on STC task analysis and STC accidents cases.

The PSF taxonomy constituted by 4 main components, 4 hierarchies and 85 PSFs is established for human behavior modeling and simulation under the STC context. Furthermore, by comparing and evaluating the performance of STC PSF and existing PSF studies, the proposed PSF taxonomy meets the requirement for qualitative and quantitative analysis.

The PSF taxonomy can provide a basis and support for human behavior modeling and simulation under the STC context. Integrating PSFs into a behavior simulation model provides a more realistic and integrated assessment of human error by manifesting the influence of each PSFs on the cognitive processes. The simulation results can suggest concrete points for the improvement of STC safety management.

This paper develops a taxonomy of PSFs that addresses the various unique influences of the STC context on human behaviors. The harsh underground working conditions and diverse resources of system information are identified as key characteristics of the STC context. Furthermore, the PSF taxonomy can be integrated into a human cognitive behavior model to predict the worker’s behavior on STC site in future work.

This article aims to examine considerations and strategies for improving team performance in decision‐making by teaching teams to use collaborative modeling based on team mental models.

The article describes the nature of shared mental models and collaborative modeling, the potential effects of collaborative modeling on team performance, and a perspective on communication imperatives that facilitate collaborative modeling. The articles builds upon this information to suggest five imperatives for teams to help them develop collaborative modeling skills

The article offers strategies in the form of five imperatives for teams to observe in order to build skills in collaborative modeling and improve team performance by improving team members’ ability to effect collaborative modeling to accomplish team tasks and goals.

Research over the years in mental modeling and communication has created a powerful argument that effective communication and shared mental models improves team performance. However there is little about application of this concept in the literature. The next step for researchers is to develop application models for collaborative modeling and test those models through empirical research. This paper offers an application model based on imperatives to be observed by decision‐making teams in order to facilitate the creation of shared mental models of team tasks and processes.

Although prior works in online retailing have addressed the influence of trust on customer responses, they conceptualized trust as a single dimension. Based on social-psychological literature and sociological literature, this study proposes that consumer trust in an online retailer has two principal forms: cognitive trust and affective trust. The purpose of this paper is to examine various factors influencing the development of each form of customer online trust and the subsequent effect on customer satisfaction (CS) and loyalty intention (LI).

Survey approach is employed to validate the research model. Data are collected from 334 Indian consumers and using structural equation modeling the causal pathways of the model are investigated.

The results show that cognitive trust and affective trust are empirically distinguished variables in online retailing context. Cognitive trust and affective trust are found to mediate the relationship between perceived website quality, security and privacy policy, prior-interaction experience, perceived e-tailer reputation and shared value and CS. CS also positively influences LI toward the online retailer.

The paper provides interesting insights about Indian consumers’ evaluation of online retailers. These useful insights would enable both international and national online retailers to develop and apply different strategies to improve customer trust, which is a key driver of CS and LI.

Drawing from signaling theory and organizational studies literature, this paper investigates the relationship between different antecedents and affect-based and cognition-based trust in online retailing context. In particular, this is the first study to examine multi-dimensional nature of consumer trust in online retailing context. Besides, this paper clearly shows that cognitive trust and affective trust are the mediating variables that positively affect CS toward online retailers and help in building strong customer LI.

The aim of this paper is to understand the behavior that Australian youths have towards wireless application protocol (WAP) banking.

This paper is based on a quantitative study of the youth market in Australia. Social cognitive theory is utilized to support a conceptual model that is empirically tested.

The major finding from the research is that the conceptual model is partially supported which indicates the immaturity of WAP technology.

Social cognitive theory provides a useful explanation for youth's intentions to use WAP technology in the banking industry. The youth market is an early adopter of technology that presents a good indicator of future market potential.

The purpose of this paper is to investigate the effect of entrepreneurial idea dimensions (the value, content, number and novelty of idea) along with intuitive cognitive style versus an analytical style on students' entrepreneurial intention.

To evaluate these relationships, the data are obtained from an extensive survey of 376 undergraduate students of campuses of Behavioral Sciences and Engineering at University of Teheran. The data are analyzed by the methodology of structural equation modeling (SEM) with using LISREL software and SPSS.

According to the SEM results, for students with intuitive cognitive style, among the four dimensions of entrepreneurial idea (i.e. idea's content, volume, value, and novelty), the greatest direct effect belongs to the idea volume and idea content. Further, for the students with analytical cognitive style, the idea volume and the idea value have the maximum direct impacts on their entrepreneurial intention meanwhile the least direct effect belongs to the idea novelty. In general, entrepreneurial intention of the students, in both groups of intuitive and analytical cognitive styles, is highly influenced by the volume of their entrepreneurial ideas. Therefore, the ideas volume is the most important factor to start up a new business in future by potential entrepreneurs all with analytical or intuitive cognitive styles.

It is recommended that entrepreneurship and business students who are attending entrepreneurship and business skills training courses should be categorized into two distinct groups of intuitive and analytical. For the group of students with intuitive cognitive style, an entrepreneurship training with systematic views and a method of establishing and reinforcing positive and stable emotions should be offered. For those with analytical cognitive style, trainings for “designing and writing Business Model and Plan”, “Opportunity recognition and feasibility study” and its related soft wares should be presented. Accordingly, in order to create and increase the entrepreneurial ideas number among all students, it is suggested that a course entitled “Entrepreneurial Idea Generation” be offered in Entrepreneurship Education Programs at undergraduate and graduate levels.

The paper is one of the first papers to clarify and empirically assess the effects of entrepreneurial ideas dimensions on entrepreneurial intention considering the subjects' cognitive style as a mediating variable.