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Interaction content is created during online learning interaction for the exchanged information to convey experience and share knowledge. Prior studies have mainly focused on the quantity of online learning interaction content (OLIC) from the perspective of types or frequency, resulting in a limited analysis of the quality of OLIC. Domain concepts as the highest form of interaction are shown as entities or things that are particularly relevant to the educational domain of an online course. The purpose of this paper is to explore a new method to evaluate the quality of OLIC using domain concepts.

This paper proposes a novel approach to automatically evaluate the quality of OLIC regarding relevance, completeness and usefulness. A sample of OLIC corpus is classified and evaluated based on domain concepts and textual features.

Experimental results show that random forest classifiers not only outperform logistic regression and support vector machines but also their performance is improved by considering the quality dimensions of relevance and completeness. In addition, domain concepts contribute to improving the performance of evaluating OLIC.

This paper adopts a limited sample to train the classification models. It has great benefits in monitoring students’ knowledge performance, supporting teachers’ decision-making and even enhancing the efficiency of school management.

This study extends the research of domain concepts in quality evaluation, especially in the online learning domain. It also has great potential for other domains.

This paper aims to introduce the concept of business paradigm to conceptualize and explain differences in business interaction patterns in the IMP research.

The concept of the interaction and the concepts related to and driven from it describe the business at both a general level. At the same time, the IMP points out the uniqueness of business interactions. This paper addresses the specific lies between the general and the particular by referring to various patterns of interactions. To close that gap, this paper implies the Kuhnian philosophy of science to conceptualize the business paradigm.

The business paradigm is a socially constructed collective term. It simultaneously captures the cognitive (what business is and what rules it has) and social (business community) dimensions of the actor’s behavior and actions. It has two interdependent dimensions: cognitive and social. It determines how the actors view and do business, and it explains the variations of interactions.

Not applicable as it is a conceptual paper.

Not applicable as it is a conceptual paper.

Not applicable as it is a conceptual paper.

The concept of the business paradigm is a theoretical extension of the IMP actor’s theory. The dimensions of the business paradigm capture the psychological and sociological characteristics of the business actor. The business paradigm application provides an opportunity to find that business can be different because actors in various communities have various views on what business is and how it should be properly run. Adding the business paradigm concept to the IMP theory implies strengthening the theory explanation power because the interaction explains the business’s general characteristics. The business relationship explains the business’s unique features, and the business paradigm explains the various interaction patterns.

The purpose of this paper is to inquire into how conceptualising is done in the industrial network approach (INA).

The description and analysis of conceptualising is based on key INA references and an example illustrating the characteristics of conceptualising in individual studies.

The paper concludes that there is an open and interactive way of conceptualising in the INA. The empirical and theoretical grounding achieved through combining concepts in individual empirical studies interplays with conceptual development in the research community over time.

Three paradoxes are suggested for further discussion of conceptualising as a key element in theorising in the INA community.

By explicating how INA researchers engage in conceptualising both in individual empirical studies and as a community, the authors identify characteristics similar to the empirical phenomena in focus of the research: interaction, combining and heterogeneity of concepts.

This article compares inter-organizational (IO) interaction and inter-organizational information systems (IOS) to support IO interaction in public and private sectors. The purpose of the article is to explore and discuss differences and similarities between e-government and e-business focusing IOS and interaction. This is done in order to facilitate learning between the two fields. The point of departure is two case studies performed in private and public sectors.

A comparative study of two cases in two sectors (private and public) is conducted. IO concepts from industrial markets that characterize an IO relationship (continuity, complexity, symmetry, and formality) and concepts that describe dimensions of such relationships (links, bonds, and ties) are used as analytical lenses. The empirical case study data, mainly generated from interviews, have been analyzed in a qualitative, interpretive way, using these central IO concepts from industrial markets (the IMP approach). This approach is in line with a strategy to use theory as a part of an iterative process of data collection and analysis.

The findings in the present study show that there are several similarities concerning interaction in relations between organizations in the two sectors. There are also differences depending on the level of analysis (empirical level vs analytical level). The study shows the need to be explicit regarding organizational value, end-customer or client/citizen value and the type of objects that are exchanged in the interaction. This is presented in the article together with suggested refinements of the analytical framework used for understanding IO interaction. The latter finding is a contribution to the general field of interaction and network studies and also a contribution to the e-government field.

This article is a point of departure to facilitate learning between the public and the private sectors focusing on IO relations and IOS. Learning between the two sectors is needed for researchers in the two areas as well as policy makers and practitioners developing e-government interaction and IOS.

There are few articles addressing learning between the private and the public sector within the e-government area. Not at least when focusing IO issues. There is also a tendency that wheels are reinvented in the sectors and in the e-government research area. An important initiative in this article is to contribute in filling this gap by providing examples of a comparative analysis as well as understanding of how to perform such analyses of IO interaction.

This infecological study mainly aimed to know the thematic and conceptual relationship in published papers in deep learning (DL) and smart manufacturing (SM).

The research methodology has specific research objectives based on the type and method of research, data analysis tools. In general, description methods are applied by Web of Science (WoS) analysis tools and Voyant tools as a web-based reading and analysis environment for digital texts. The Yewno tool is applied to draw a knowledge map to show the concept's interaction between DL and SM.

The knowledge map of DL and SM concepts shows that there are currently few concepts interacting with each other, while the rapid growth of technology and the needs of today's society have revealed the need to use more and more DL in SM. The results of this study can provide a coherent and well-mapped road map to the main policymakers of the field of research in DL and SM, through the study of coexistence and interactions of the thematic categories with other thematic areas. In this way, they can design more effective guidelines and strategies to solve the problems of researchers in conducting their studies and direct. The analysis results demonstrated that the information ecosystem of DL and SM studies dynamically developed over time. The continuous conduction flow of scientific studies in this field brought continuous changes into the infoecology of subjects and concepts in this area.

The paper investigated the thematic interaction of the scientific productions in DL and SM and discussed possible implications. We used of the variety tools and techniques to draw our own perspective. Also, we drew arguments from other research work to back up our findings.

This paper aims to study the role of the focal firm in local communities. In particular, it aims at analyzing such firms’ contribution to innovation, proposing a classification of the interactions and role systems that contribute to determining the innovational impact of focal firms.

This paper presents a concept-based study. The paper starts with a review of the literature to frame the concepts of local network and focal firm. Two key concepts, related to that of interaction, are then discussed: teaching and learning.

The paper proposes a taxonomy of the interactions and the roles systems that the focal firm can establish. The status of focal actor for innovation in a network stems, not from an “a priori” central strategic role on which the actor builds its interactions, but “a posteriori”, from the actor’s previously recognized roles in interactions on which network innovation is based. The local system may or may not be present in the interaction set of the business network. The interactions and roles systems define the type of local system.

Research implications regard three main aspects: the different roles in the interactions; the types of actors in the local system; and the types of local systems involved in the processes of innovation.

The paper furnishes an original interpretation by focusing on focal firms as leaders in the innovation process, in the attempt to reconcile the “macro” perspective of local systems with the “micro” perspective of the individual firm.

The purpose of this paper is to examine the concept of agency on basis of a pragmatist philosophy framework of analysis. Agency is a key analytical concept in management studies, debated in terms of its theoretical elements and its degree of empirical substantiation. Agency is commonly either assumed to be the case, understood as some generic human capacity to act with integrity, or, alternatively, agency is considered to be derived from social structures, say professional norms or occupational identities acquired through socialization. In contrast, in an attempt to escape the agency/structure model, agency may be considered as what is generated in and through meso-level interactions, constituted as recurrent practices wherein accomplishments in the past serve as the template for new activities that further reinforce agential capacities.

Drawing on the work of pragmatist philosopher Donald Davidson and what he calls the principle of charity, this paper presents an analytical model wherein agency is generated on basis of a shared everyday language wherein beliefs and preferences are constituted and thereafter serve as the basis of agential action.

Davidson’s externalist theory of action is supportive of the theory and study of meso-level interactions and helps to overcome the question whether agency is exogenously given or the effect of social structure.

This paper reviews recent social science literature on agency and introduces pragmatist philosophy concepts to better examine under what conditions social actors can reasonably have faith in an interaction being premised on beliefs that are held on basis of rational and reasonable grounds. This adds to an integrated theory of agency, being of importance for social theory and organizational analysis more specifically.

This chapter describes the change efforts and action research projects at a Dutch multinational which, over a period of 25 years, produced in one of its businesses a zigzag path toward collaborative leadership dynamics at the horizontal and vertical interfaces. The chapter also identifies the learning mechanisms that helped achieve this transformation. Changing the patterns at the vertical interfaces proved to be a most tricky, complex, and confusing operation. The data show that organizations need hierarchical interfaces between levels, but are hindered by the hierarchical leadership dynamics at these interfaces. The data furthermore show that competitive performance requires more than redesigning horizontal interfaces. A business can only respond with speed and flexibility to threats and opportunities in the external environment when the leadership dynamics at agility-critical vertical interfaces are also changed.