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The purpose of this paper is to look into the knowledge‐intensive work that entangles the use of various visual representations such as drawings, CAD images, and scale models. Rather than assuming that knowledge is exclusively residing in the human cognitive capacities, most knowledge‐intensive work integrates a variety of perceptual skills and the use of language.

A case study of a Scandinavian architect bureau, including semi‐structured interviews with architects, design engineers and managers, was conducted.

The study shows that architects mobilize and use a variety of visual representations in their day‐to‐day work. Such visual representations serve a variety of roles and purposes but actually more generally enhance communication between colleagues and external stakeholders. The paper concludes that visuality and visual representations deserve a more adequate analysis in the knowledge management literature.

The paper contributes to an understanding of how visual representations are constitutive of knowledge and central to architect work. Rather than residing in language or being embodied, knowledge is developed through the use of a variety of tools and aids.

Business model innovation (BMI) constitutes a priority for managers across industries, but it represents a notoriously difficult innovation, with several challenges, many of which are cognitive in nature. The received literature has variously suggested that one way to overcome challenges to BMI, including cognitive ones, and support the cognitive tasks is using visual representations. Against this background, we aim at offering a contribution to the emerging line of inquiry at the nexus between business models (BMs), cognition and visual representations. Specifically, we develop a new method for visual representation of the BM in support of simplification of the cognitive effort and neutralisation of cognitive barriers. The resulting representation – a network-based representation, anchored on the activity-system perspective and offering complementarity and centrality/periphery measures – allows to visually represent an existing BM as a network (nodes and linkages) of interdependent activities and to express information related to the degree of centrality/periphery of single activities (nodes) with respect to the rest of a BM configuration. This information, we argue, is potentially very valuable in supporting the cognitive tasks involved in business model reconfiguration (BMR). We guide the reader to progressively appreciate how the development of the proposed method for visual representation is anchored to two main characteristics of BMR, namely the discovery-driven nature of BMR and the path-dependent nature of BMR. We offer initial insights on the cognitive value of such a type of representation in relationship to the simplification of the cognitive effort and the neutralisation of cognitive barriers in BMR.

This paper examines visual representation in marketing communication from a distinctive, interdisciplinary perspective that draws on ethics, visual studies and critical race theory. An ontological approach is offered as an alternative to phenomenologically based approaches in marketing scholarship that use consumer responses to generate data. Suggests ways to clarify complex issues of representational ethics in marketing by applying a semiotically‐based analysis that places ontological identity at the center of societal marketing concerns. Analyzes representations of the exotic Other in disparate marketing campaigns, including advertising, tourist promotions and music, as examples of bad faith marketing strategy. Music is an important force in marketing communication, yet marketing studies have rarely considered music and its visual representations as data for inquiry. Feels that considering visual representation within marketing from an ontological standpoint contributes additional insight into societal marketing and places global marketing processes within the intersection of ethics, aesthetics and representation.

Artifacts are rarely used today to visualize thoughts, insights, and ideas in strategy work. Rather, textual and verbal communication dominates. This is despite artifacts and visual representations holding many advantages as tools to create and make sense of strategy in teamwork. To advance our understanding of the benefits of visual aids in strategy work, I synthesize insights from cognitive psychology, neuroscience, and management research. My analysis exposes distinct neurocognitive advantages concerning attention, emotion, learning, memory, intuition, and creativity from visual sense-building. These advantages increase when sense-building activities are playful and storytelling is used.

In this chapter, the authors discuss how visual artifacts may support the analysis and interpretation of qualitative data in organization studies. They draws on their own experience as well as other scholars’ published work to explore the distinctive affordances of visual forms. In particular, the authors identify four roles – namely “mapping,” “analyzing,” “conceptualizing,” and “communicating” – that visual artifacts play to help us move from raw qualitative data to a compelling conceptual product.

Specifically, the use of visuals for “mapping” involves directly coding data into visual forms such as cognitive maps, flow charts or relational diagrams, an approach that may offer a useful complement to traditional verbal coding. Using visuals for “analyzing” implies either comparing, aggregating or decomposing previously constructed visual maps, or drawing directly on verbal data to develop visuals such as analytical flow charts, process replication maps, and trend charts. Using visuals for “conceptualizing” involves rising above the data to develop more abstract representations of concepts and relationships, while maintaining recognizable connections to empirical phenomena. While conceptual models can take a wide variety of forms, the authors illustrate, in particular, the use of visuals to represent linear, dialectic and multi-level process theories. Finally, the authors consider the importance of visualizations for “communicating” insights as well as for developing them, and the inextricable linkages between the two.

The authors conclude by discussing some of the strengths and weaknesses of visualization and by considering how new technologies may offer further possibilities for useful and insightful visual representations of qualitative data that can enhance theory-building.

This chapter examines how proponents of industrialization used multiple modes of communication to socially construct the rational myth of industrialization in the French construction sector after World War II. We illuminate the respective roles of visual and verbal communication in this process. Our findings suggest that actors construct rational myths according to the following step-by-step method: first, they use visuals to suggest associations between new practices and valuable purposes; then they use verbal text to establish the technical rationality of certain practices; and lastly, they employ both verbal and visual communications to convey their mythical features.

Although numerous signal modalities are available for emotion recognition, audio and visual modalities are the most common and predominant forms for human beings to express their emotional states in daily communication. Therefore, how to achieve automatic and accurate audiovisual emotion recognition is significantly important for developing engaging and empathetic human–computer interaction environment. However, two major challenges exist in the field of audiovisual emotion recognition: (1) how to effectively capture representations of each single modality and eliminate redundant features and (2) how to efficiently integrate information from these two modalities to generate discriminative representations.

A novel key-frame extraction-based attention fusion network (KE-AFN) is proposed for audiovisual emotion recognition. KE-AFN attempts to integrate key-frame extraction with multimodal interaction and fusion to enhance audiovisual representations and reduce redundant computation, filling the research gaps of existing approaches. Specifically, the local maximum–based content analysis is designed to extract key-frames from videos for the purpose of eliminating data redundancy. Two modules, including “Multi-head Attention-based Intra-modality Interaction Module” and “Multi-head Attention-based Cross-modality Interaction Module”, are proposed to mine and capture intra- and cross-modality interactions for further reducing data redundancy and producing more powerful multimodal representations.

Extensive experiments on two benchmark datasets (i.e. RAVDESS and CMU-MOSEI) demonstrate the effectiveness and rationality of KE-AFN. Specifically, (1) KE-AFN is superior to state-of-the-art baselines for audiovisual emotion recognition. (2) Exploring the supplementary and complementary information of different modalities can provide more emotional clues for better emotion recognition. (3) The proposed key-frame extraction strategy can enhance the performance by more than 2.79 per cent on accuracy. (4) Both exploring intra- and cross-modality interactions and employing attention-based audiovisual fusion can lead to better prediction performance.

The proposed KE-AFN can support the development of engaging and empathetic human–computer interaction environment.

The construction industry produces voluminous quantitative data. Much of this data is created during the controls phase of projects and relates to cost, schedule, and administrative information. Recent storage and processing advances in computers as well as display capabilities afforded by computer graphics increase the opportunity to monitor projects fundamentally different from existing project control systems. However, changes in project control methods have been slow to evolve. The lack of a fundamental model of project control data representation contributes to the inadequate application and implementation of visual tools in project control methods. Difficulties associated with the graphical representation of data can be traced to the diversity of skills required in creating visual information displays. Owing to the reality that not all engineers/constructors possess these attributes in great strength, streamlining the process of how to best visualize data is important. Visual representations of data hold great potential for reducing communication difficulties fostered by industry fragmentation. However, without information structure, organization, and visual explanations, the massive amount of data available to project managers results in information overload. Therefore, improved information displays are needed to overcome the possibility of information overload with the capability of human perception. This paper discusses research to create a framework for visual representation of construction project data. Underlying visualization theory, the visual framework, and a detailed implementation are provided.

This paper aims to propose a theoretically informed and analytically rigorous research framework that sustainability researchers could use or further develop to examine visually persuasive messages in photographs.

Drawing on the theoretical constructs of Peirce’s (1991) visual semiotic system of icon, index and symbol and Aristotle’s (1984) persuasive appeals of ethos, pathos and logos, the authors propose a research methodology that provides an explicit step-by-step guidance to examine visually persuasive messages in sustainability-related photographs. The sustainability-related photographs in The Coca-Cola Company’s 2018 Business and Sustainability Report are examined to illustrate the application of the framework.

This paper develops a research framework and provides empirical evidence of the use of the framework to enhance the understanding of visually persuasive messages depicted in photographs.

The proposed framework serves as a springboard for further research into visually persuasive messages.

The research framework of visual persuasion is novel and can be used by sustainability researchers to analyse photographs in corporate reports. It can be extended/modified to capture visual representations in different contexts and other disciplines as well.