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This chapter reviews the methods available to hospitality and tourism researchers to perform moderation analysis with continuous variables in partial least squares structural equation modeling (PLS-SEM), with the objective of enhancing understanding and encouraging the use of these techniques in future papers. The product term method is presented first, followed by an empirical example/application in the context of hospitality and tourism. Two extensions, namely the two-stage approach that can help cope with formative and higher-order constructs, and the orthogonalizing approach that can help generate more accurate results and overcome multicollinearity among tourism variables in the presence of a continuous moderator variable, are then presented and discussed. The chapter concludes by presenting guidelines and recommendations for improving the use of interaction effects in analyses of tourism variables, as well as highlighting ongoing developments in both the product term method and PLS-SEM software.

The purpose of this paper is to clarify the conceptual issues of information behaviour research by reviewing the approaches to information interaction in the context of information seeking and retrieval (IS&R).

The study uses the conceptual analysis focussing on four pioneering models for interactive IS&R proposed by Belkin, Ingwersen and Ingwersen and Järvelin.

A main characteristic of models for information interaction is the tripartite setting identifying information resources accessible through information systems, intermediary/interface and user. Dialogue is a fundamental constituent of information interaction. Early models proposed by Belkin and Ingwersen focussed on the dialogue occurring in user-intermediary interaction, while more recent frameworks developed by Ingwersen and Järvelin devote more attention to dialogue constitutive of user-information system interaction.

As the study focusses on four models developed within the period of 1984-2005, the findings cannot be generalised to depict the phenomena of information interaction as a whole. Further research is needed to model the specific features of information interaction occurring in the networked information environments in particular.

The study pioneers by providing an in-depth analysis of the ways in which pioneering researchers have conceptualised the phenomena of interaction in the context of IS&R. The findings contribute to the elaboration of the conceptual space of information behaviour research.

This qualitative study investigated how small group communication influences the development of shared mental models in a committee of public librarians addressing a problem-solving task. It examines the influence of communication themes, functions, roles, and rules on the group's development of shared mental models about the task and about team interaction. Data were collected over the course of a year from group meetings, email messages, group documents, and participant interviews and then analyzed using existing coding schemes and qualitative coding techniques. The findings indicate that within the group there was a strong superficial convergence around the task mental model and the team interaction mental model but a weaker convergence at a deeper level. Analysis of the group communication data shows that the group focused discussion on understanding the problem and identifying tasks, enacting group roles and rules that facilitated sharing information. The functions of their messages focused on task communication. The findings suggest that, in this group, communication themes most heavily influenced the development of a shared mental model about the task, while communication roles, rules, and functions were more influential toward the development of a shared mental model about team interaction. Implications for practice include adopting intentional tactics for surfacing mental models at various points in the group life and anchoring the emerging model within the collective cognition of the group through devices such as narratives, objects, or documentary materials.

This article aims to analyze the interaction between university and enterprise based on the experience of two biotechnology centers in the state of Rio Grande do Sul, namely the Biotechnology Center of the State of Rio Grande do Sul and the Biotechnology Center of the Federal University of Pelotas. The multiple‐case method was chosen to analyze and identify university‐enterprise interaction models. A theoretical review established a typology of university‐enterprise interaction constituted by three models: classic model, market model and partnership model. Ten university‐enterprise interaction projects were classified. At the Biotechnology Center of the State of Rio Grande do Sul the five projects were mainly on the lines of the market model, whereas at the Biotechnology Center of the Federal University of Pelotas the five projects were mainly the classic model of interaction. A culture of interaction between university and enterprise must be stimulated at both centers, and actions were proposed for this purpose.

The purpose of the paper is to build a real-time integrated turboprop take-off model which fully takes the interaction between diverse parts of aircraft into consideration. Turboprops have the advantage of short take-off distance derived from propeller-wing interaction. Traditional turboprop take-off model is inappropriate because interactions between diverse parts of aircrafts are not fully considered or longer calculation time is required. To make full use of the advantage of short take-off distance, a real-time integrated take-off model is needed for analysing flight performance and developing an integrated propeller-engine-aircraft control system.

A new integrated three-degree-of-freedom take-off model is developed, which takes a modified propeller model, a wing model and the predominant propeller-wing interaction into account. The propeller model, based on strip theory, overcomes the shortage that the strip theory does not work if the angle of propeller axis and inflow velocity is non-zero. The wing model uses the lifting line method. The proposed propeller-wing interaction model simplifies the complex propeller-wing flow field. Simulations of ATR42 take-off model are conducted in the following three modes: propeller-wing interaction is ignored; influence of propeller on wing is considered only; and propeller-wing interaction is considered.

Comparison of take-off distances and flight parameters shows that propeller-wing interaction has a vital impact on take-off distance and flight parameters of turboprops.

The real-time integrated take-off model provides time-history flight parameters, which plays an important role in an integrated propeller-engine-aircraft control system to analyse and improve flight performance.

The real-time integrated take-off model is more precise because propeller-wing interaction is considered. Each calculation step costs less than 20 ms, which meets real-time calculation requirements. The modified propeller model overcomes the shortage of strip theory.

This study examines the use of linear regressions that include interaction terms, finding frequent interpretation errors in published accounting research. We provide insights on how to estimate, interpret, and present interactive regression models, and explain seldom-used but easily-implemented methods to report conditional marginal effects. We also examine the use of interaction terms in tax and financial reporting trade-off studies, evaluating the conceptual fit between a regression model with interactions and alternative definitions of trade-off. Although we advocate the use of interactive models, noise levels common in accounting research greatly reduce the ability to detect interaction effects.

Contemporary public service innovations to an important degree are initiated and enabled by digitalization. Digitalization stimulates entry of new firms (start-ups) based on innovative implementation of digital technology for public services. The interwoven digitalization and innovation processes involve interaction and interdependencies between private business actors and public service providing actors. In this paper, the authors take the perspective of a start-up business actor that tries to develop and implement a viable business model in the very dynamic context of digital transformation of public education. The purpose of this paper is to analyze how the instability of a startup firm’s business model during public service innovation can be explained. The research question is: “How can business modeling by a start-up firm be explained by tensions between its business model and public service provision models?”

Based on an abductive logic, the authors choose a single-case study of a start-up firm’s development in 2010-2018 and its interaction with public actors. Information about the firm acquired in the first phase of the study showed that it frequently changed its business model. A general analytical framework was developed to aid in efforts to answer the research question.

The case showed that a business model could be seen as a temporary outcome of a business modeling process, and that also concurrently public actors change their public actors’ service provisioning models. Public-private interaction reveals tensions that drive business modeling.

The study contributes to empirical knowledge about private-public interaction in the dynamic and complex context in which digital transformation in society drives public service innovations. The conceptual contribution rests more generally in the analytical framework and how it frames public actor’s “service provision modeling” as a driver of business modeling.

The purposes of this paper are to (1) explore how personality traits pertaining to the dominance influence steadiness compliance model manifest themselves in terms of user interaction behavior on social media and (2) examine whether social interaction data on social media platforms can predict user personality.

Social interaction data was collected from 198 users of Sina Weibo, a popular social media platform in China. Their personality traits were also measured via questionnaire. Machine learning techniques were applied to predict the personality traits based on the social interaction data.

The results demonstrated that the proposed classifiers had high prediction accuracy, indicating that our approach is reliable and can be used with social interaction data on social media platforms to predict user personality. “Reposting,” “being reposted,” “commenting” and “being commented on” were found to be the key interaction features that reflected Weibo users' personalities, whereas “liking” was not found to be a key feature.

The findings of this study are expected to enrich personality prediction research based on social media data and to provide insights into the potential of employing social media data for the purpose of personality prediction in the context of the Weibo social media platform in China.

E-business maturity models have been widely used to guide the process of digital transformation of business. However, these models have been criticized for their predominantly technocentric approach, which is poorly suited for SMEs. The purpose of this paper is to produce a holistic, nonlinear e-business development model for SMEs that takes into account the interactions of the organization in the pursuit of its business objectives.

Based on the literature review, this paper proposes a nonlinear digital development model for SMEs that factors in the interactions between digital technologies and organizational processes. The model is applied to three cases using a qualitative research approach.

The analysis of the cases demonstrates how the model recognizes that SMEs have an agile and flexible operating structure and reduces the role of technology in order to refocus the entrepreneurs on the relationship among business goals, organizational capabilities and communication requirements.

The proposed model helps the business owners to clarify and better understand what kind of interaction levels exist between the relevant actors in the pursuit of the firm's goals and to identify the best mix of digital and nondigital communication methods to support their work. It also assists policymakers to overcome technological bias when assessing the current state of play of e-business development in the SME universe and formulate actions that support the development of digitally oriented SMEs.

This paper proposes a novel, nonlinear, interaction-based development model for SMEs in order to complement previous technocentric models focusing mainly on a mechanist perspective of e-business maturity models.