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In order to deepen understanding of team processes in dynamic organizational contexts, we suggest that analyses employing techniques to identify and analyze team member interaction patterns and trajectories are necessary. After presenting a brief review of interaction data coding and reliability requirements, we first review examples of two approaches used in the identification and analysis of interaction patterns in teams: lag sequential analysis and T-pattern analysis. We then describe and discuss three statistical techniques used to analyze team interaction trajectories: random coefficient modeling, latent growth modeling, and discontinuous growth analysis. We close by suggesting several ways in which these techniques could be applied to data analysis in order to expand our knowledge of team interaction, processes, and outcomes in complex and dynamic settings.

This article aims to propose guidelines to develop moderation hypotheses, assess moderators using the multigroup analysis and interaction effect approaches and interpret the results of moderation analysis in tourism and hospitality research.

Through a review of 600 articles published in top tourism and hospitality journals from the year 2016 to 2020, and reviewing the literature related to moderation analysis, this study identifies key issues in different steps of moderation analysis and proposes robust guidelines to aid future research.

The results of the systematic review uncovered some key issues in different steps of moderation analysis, such as hypothesis development, moderation assessment and results interpretation. The findings emphasized the typical methodological misconceptions and improper practices for moderation analysis.

Moderation analysis is of great significance to the advancement of theory, and its application has increased significantly in recent years. However, many studies appear to have a limited understanding of moderation analysis and follow questionable practices regarding hypothesis development, moderation assessment and results interpretation, thus leading to suspicious conclusions for theory advancement. By highlighting these methodological issues, this article provides robust guidelines for moderation analysis, which is of great theoretical and methodological significance to the academic research in tourism and hospitality.

As one of the first studies to provide robust guidelines for moderation analysis, based on a critical and systematic review of papers published in top-tier journals in tourism and hospitality and the latest developments on moderation analysis in the wider literature, this article has important theoretical and methodological significance for the academic research in tourism and hospitality as well as general social science disciplines.

The purpose of this paper is to contribute to a growing body of research on the applicability of resource-based theory (RBT) to the information systems (IS) area. In particular, the paper provides an understanding of the IS value creation process, and strategies for managing it by demonstrating the application of cross-impact analysis.

RBT and systems theory are adopted as a theoretical framework in this study. Cross-impact analysis is used as a method for investigating interactions among elements of an IS value creation system. These elements were identified through 22 semi-structured interviews with organisational stakeholders, and assessed in terms of direction and strength of their interactions, and depicted in a coordinate system.

The result of the analysis is a meaningful classification of elements in an IS value creation system as: levers, indicators, identities, buffers or trends, based on their position in the system. The results provide additional clarity and insights into the relationships between IS and organisational resources and their effect on IS value.

The research findings have important implications for researchers and managers in terms of understanding the impact of interactions among IS and organisational resources on formulating successful strategies for managing the IS value creation system.

This study explores interactions among IS/information technology resources and organisational resources by using cross-impact analysis. It shows that interactions among the identified resources do have a major influence on the overall IS value creation system.

Novel ideas emerge from conversational interaction dynamics in meetings that are organizational practices of interaction. Drawing from meeting science with a focus on multiparty talk in meetings as communicative events, we refer to interaction dynamics as sequences of verbal statements. We explore patterns of verbal statements in idea generation processes in an explorative, inductive field study of ministerial think tank meetings. These are recurring agile meetings with interactive, free-flowing communication. By utilizing the validated, fine-grained act4teams coding scheme, we differentiate between task-related, procedural, and socio-emotional statements made in these meetings. Our findings show that the interactions within agile meetings are characterized by intensified turn-taking, overlapping speech, and joint heightened involvement. By means of lag sequential analysis, we find that novel ideas emerge from interaction cycles of task and socio-emotional statements. Among the latter, active listening expressed by “mm” or “yeah” is of particular importance for triggering novel ideas. As such, we reveal the micro-level emergence of novel ideas in conversational interaction by highlighting the facilitative function of active listening.

Customer interaction is both an aim and source of concern for managers around the world. Different forms of interaction, such as cocreation, coproduction and customer participation, are evaluated in different fields of knowledge, with a gap in terms of the joint analysis of their antecedents and consequences as well as possible practical distinctions in the effects of these concepts. The purpose of this paper is to examine customer interaction effects by applying meta-analysis of effect sizes that measure the strength of their relationships.

The study used meta-analysis and moderator analysis approaches to synthesize preview results on customer interaction relationships.

The results suggest the empirical validity of using customer participation to replace terminologies such as coproduction and cocreation, and show the moderation role of institutional, cultural and contextual factors.

This study investigated the literature in the areas of business and management to show whether, how and when customer interaction is related to individual and organizational factors. Although the conceptual and empirical implications derived from the preliminary efforts and the consolidated results are robust to generalization, methodological biases limited the findings.

This research suggests that a better understanding of customer interaction (antecedents, consequences and moderators) may help organizations to identify the most appropriate ways to build their strategies and to improve the results of their efforts.

This study contributes to the literature by providing one of the few attempts to consolidate the preliminary studies in different forms of customer interaction, suggesting possible moderations and amplifying the preliminary efforts.

While scaling is a viable approach to respond to growing demand, service providers in contact-intensive services (CIS) – such as education, healthcare and social services – struggle to innovate their offerings. The reason is that the scaling of CIS – unlike purely digital settings – has resource limitations. To help ease the situation, the purpose of this paper is to identify and describe the practices used in scaling CIS to support ICT-enabled service innovation.

The research draws on an in-depth analysis of three CIS to examine service innovation practices. The analysis informs model development for service scaling.

The analysis uncovers three practices for service scaling – service interaction analysis, service pivoting and service validation – and their related activities that are applied in a cyclic and iterative logic.

While the findings reveal that the scalability of CIS is limited and determined by the formative characteristic of personal interaction, this study and its findings describe how to leverage scalability in CIS.

The insights into the practices enable service providers of CIS to iteratively revise their service offerings and the logic of creating value with the service.

This research identifies and describes for the first time the practices for the scaling of CIS as an operationalisation of ICT-enabled service innovation.

The article presents the construction of a conceptual framework, which is rooted in mathematics education and in dialogic analysis. It aims to analyse how dialogic interactions contribute to constructing teachers' mathematical problem-solving knowledge. The article provides one example of this analysis.

The networking between a content analysis framework (Mathematical Knowledge for Teaching Problem-Solving) and a dialogic analysis framework (Lesson Study Dialogue Analysis) is presented. This leads to the construction of indicators to quantitatively and qualitatively code our data: five meetings during one lesson study cycle of a group of eight Swiss primary teachers, working on the teaching of problem-solving.

This article does not present empirical findings. The developed conceptual framework is the result presented.

The presented framework allows modelling, on the one hand, the knowledge relating to the teaching and learning of problem-solving and, on the other hand, the analysis of interactions during a lesson study. The article does not contain the results of the research.

The use of our framework can contribute to teacher educators' and facilitators' training by highlighting which types of intervention are favourable to the development of knowledge.

Our analysis involves a “systematic coding” approach. It allows a fine-grained analysis of the interactions in relation to the evolution of knowledge. Such a systematic approach offers the possibility of questioning the coded data in various ways.

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.