Search results

The purpose of this paper is to address the limitations of prior views regarding knowledge source exploitation by proposing a phenomenological approach to managerial attention and the antecedents of exploiting knowledge sources within the multinational corporations (MNC) network.

A phenomenological approach to attention is taken to explain the antecedents of managerial attention in knowledge source exploitation behavior. This approach provides an alternative way of conceiving of knowledge source remoteness and familiarity, on the one hand, and exclusion and inclusion on the other.

Drawing on a phenomenological approach to attention, the merits and limits of prior studies of attention and knowledge seeking/exchange behavior are addressed and three modes of managerial attention are proposed – relative attention, mimetic attention, implicit attention – to explain the antecedents of managerial attention to MNC knowledge sources.

This approach to knowledge source exploitation and attention provides a rich conceptualization of taken‐for‐granted assumptions in extant literature on managerial attention and knowledge‐seeking behavior. The framework offered here builds on a conceptually rigid foundation of attention that overcomes dualisms such as mind‐body, subject‐object, and thinking‐acting that are often embedded in other mainstream approaches to managerial attention.

The purpose of the research described in this paper is to provide empirical evidence pointing to IT artifacts' contribution to organizational mindfulness.

To accomplish the specified aim, the authors studied how a leading company in the cork industry uses a platform to support the innovation process's ideation phase. This case study took two and a half years, and the research information was collected in documents, meetings, observations and interviews.

The study provides empirical evidence pointing to the funneling of collective attention induced by the studied platform. The use of an innovation platform was engaging the collective attention to the incremental innovation of processes to the detriment of products' disruptive innovation.

The authors’ findings contribute to developing an IS mindfulness theory and designing sociotechnical arrangements that expand organizational mindfulness. The analysis of the gathered research information resulted in a first explanation for the impact of using IT artifacts on organizational mindfulness. The resulting framework emerged as a first step in the effort to develop an IS mindfulness theory, paving the way for developing a methodological approach to support CIOs in addressing the challenges of the digital age.

Describes a qualitative study on interaction between systems for production control and quality control within industrial organisations. Production control and quality control interact in a sense. Good performance for one aspect often influences or frustrates the performance of the other. As far as is known, the phenomenon of interaction between production control and quality control has not been described extensively in literature. Therefore we decided to form an inductive theory, based on fieldwork. As a result the study had a particularly qualitative character. It was necessary to sharply delineate the concepts of production control and quality control. The authors regard production control and quality control as two separate, but mutually influencing, control systems in the organisation. On the basis of four case studies, a model was developed that describes and explains the interaction phenomenon between production control and quality control. From this interaction model, points of attention can be deduced for the re‐design of production control systems and quality control systems. The model was tested in two other case studies involving consultants in the area of production control.

The purpose of this paper is to address the phenomenology of family members of homicide victims; known as “co-victims”. In particular, co-victims experiences of the criminal justice system (CJS) in England and Wales.

In 2018, 10 kV methodology facilitated an electronic-focus group. Anonymously, volunteers from families of homicide victims responded to key questions in a session entitled “a conversation which matters: confidence”. The thematic analysis presents the responses to three questions around “what works” and “what does not” in CJS practice.

The responses indicate four themes in relation to confidence building: communication and information; outcome; honesty and fairness; and family support. Responses indicate three themes in relation to what the CJS does well: family liaison officers, homicide detectives and court services. Responses indicate three themes in relation to what is not working: court proceedings, police budget cuts and preventative interventions.

The research considers benefits and limitations of methodology and makes suggestions for how these facets could be addressed by future research.

The research findings reveal good practice and points for attention to support confidence building in the CJS. Amongst other considerations, the work advances CJS practical good practice principles from the perspective of co-victims: education, interpersonal relations, working together, communication and justice.

Findings are of value to CJS policy makers, training and education for co-victim support, police and academics.

When designing learning environments in primary teacher education, there is an attempt to represent real teaching practice in an authentic way to prospective teachers. When constructing these environments, teacher educators have to consider how to best motivate the student teacher, identifying the most relevant practice-based principles and the ways in which the theory and practice can be bridged. There are other considerations as well. For example, in the Netherlands, as in some other countries, teacher education is changing drastically. Controversial teacher education curricula, consisting of primary school subjects originated after more than one hundred years of reflection on the subject matter of primary education and the ways teachers have taught, have been replaced by curricula merely intended to improve the general professionalization of the prospective teacher, neglecting the school subjects. More specifically, the new objective is to adequately prepare students to become competent beginning teachers.

As with all relationships, it is commonly agreed on that partners in business must have a high degree of commitment towards their relationship. If commitment is lacking, the relationship will soon come to an end. Affective commitment, that is commitment based on attraction between partners, is to be preferred over calculative commitment. The latter form of commitment is based on constant weighing of the benefits of a relationship with a partner against the costs of that relationship. Relationships based solely on calculative commitment are also most likely not to last for an extended time. This paper identifies theoretical antecedents and consequences of commitment in relationships in a services context. The results of an empirical study reveal that affective commitment is related to trust in the partner’s honesty and benevolence, quality of the outcome of the service process, and customer satisfaction with the service being delivered. The quality of the service process has an indirect effect on affective commitment, as it is related to satisfaction. Furthermore, it is shown that affectively committed customers have a much stronger intention to stay in a relationship with a service provider than calculatively committed customers.

The paper aims to further understanding of connectivity from the perspective of blockchain technology (BT) in the supply chain (SC). It presents the weaknesses (inhibitors) of connectivity during technology implementation, focusing on supply chain interaction and resilience.

Restricting the focus to digital connectivity, interaction and supply chain resilience, this paper uses a systematic literature review (SLR) to examine how the literature has addressed, related or flagged connectivity weaknesses affecting supply chain interaction and resilience.

This study highlights the influence of connectivity for blockchain-technology projects. Technical and organisational influencers that affect the adoption of technology in the SC are presented. These influencers support the factors proposed in this study regarding the weaknesses that negatively affect the interaction between the agents involved and the SC's resilience. The research suggests that the weaknesses are related to technical needs and the relationships between companies arising from functionalities.

This paper is restricted to a review of the theory and the researched material. Although the author was careful to choose the best search terms related to the research objective, some potentially relevant articles may have been excluded.

The study summarises research on blockchain connectivity influencers in the SC, helping managers to anticipate and mitigate some of doubts and concerns in projects of this nature.

This is one of the first articles in the area of operations and SCs that addresses the topic of connectivity, focusing on its restrictive factors (connectivity inhibitors), in the context of blockchain implementation in the SC.

The International Conference on Cataloguing Principles (ICCP), which was held in Paris in October 1961 under the auspices of the International Federation of Library Associations (IFLA), succeeded in arriving at an agreement which was acceptable to the great majority of those present and which has become the basis for subsequent work on the revision of cataloguing codes in many countries. The separate clauses of the agreement, with one exception, were approved by votes varying from unanimity to a majority of forty‐four to fourteen, the exception being a clause of which alternative versions, differing in emphasis rather than substance, received respectively thirty‐four and twenty‐five out of a possible sixty‐three votes.

Attention is one of the most important factors to affect the academic performance of students. Effectively analyzing students' attention in class can promote teachers' precise teaching and students' personalized learning. To intelligently analyze the students' attention in classroom from the first-person perspective, this paper proposes a fusion model based on gaze tracking and object detection. In particular, the proposed attention analysis model does not depend on any smart equipment.

Given a first-person view video of students' learning, the authors first estimate the gazing point by using the deep space–time neural network. Second, single shot multi-box detector and fast segmentation convolutional neural network are comparatively adopted to accurately detect the objects in the video. Third, they predict the gazing objects by combining the results of gazing point estimation and object detection. Finally, the personalized attention of students is analyzed based on the predicted gazing objects and the measurable eye movement criteria.

A large number of experiments are carried out on a public database and a new dataset that is built in a real classroom. The experimental results show that the proposed model not only can accurately track the students' gazing trajectory and effectively analyze the fluctuation of attention of the individual student and all students but also provide a valuable reference to evaluate the process of learning of students.

The contributions of this paper can be summarized as follows. The analysis of students' attention plays an important role in improving teaching quality and student achievement. However, there is little research on how to automatically and intelligently analyze students' attention. To alleviate this problem, this paper focuses on analyzing students' attention by gaze tracking and object detection in classroom teaching, which is significant for practical application in the field of education. The authors proposed an effectively intelligent fusion model based on the deep neural network, which mainly includes the gazing point module and the object detection module, to analyze students' attention in classroom teaching instead of relying on any smart wearable device. They introduce the attention mechanism into the gazing point module to improve the performance of gazing point detection and perform some comparison experiments on the public dataset to prove that the gazing point module can achieve better performance. They associate the eye movement criteria with visual gaze to get quantifiable objective data for students' attention analysis, which can provide a valuable basis to evaluate the learning process of students, provide useful learning information of students for both parents and teachers and support the development of individualized teaching. They built a new database that contains the first-person view videos of 11 subjects in a real classroom and employ it to evaluate the effectiveness and feasibility of the proposed model.