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This chapter introduces the approaches and methods employed in a four-country research project that resulted in the 2017 report The People in the Pictures: Vital perspectives on Save the Children’s image making. It presents and explores the ethical issues that emerged throughout the process of the research, particularly in relation to photo elicitation – the use of images (still and moving) within both interviews and focus groups. Interviews and focus groups took place in the UK, Jordan, Bangladesh, and Niger with a total of 202 research participants. The research involved sharing Save the Children content (fundraising materials, published reports, online news features, TV adverts, and short films) with research participants. Research participants included those featured in some of these visual communication materials (referred to as contributors), and other individuals within their communities (referred to as non-contributors). The following principles and decisions informed the research design: safe and ethical practice; inclusive, engaging and accessible approaches; the participation of children; prioritising first-hand accounts; no photography or filming; and the preparation of location- and language-specific resources for each interview and focus group. The main ethical issues to emerge during the design of the research related to predicting (and responding) to any potential negative impacts of the research on participants, particularly contributors, but also children. The researchers also experienced some unexpected ethical encounters, including visual materials causing some concern or distress. Additionally, assuring research participants’ anonymity led to the necessity of extra care when publishing the report and the use of images within that.

In this chapter, the authors discuss the use of various kinds of images, namely photographs, drawings and verbal metaphors, as research data. These, perhaps less conventional forms of data, have been used to identify and probe deeper into beliefs and conceptions that are closely connected with identities, but which might not be obvious to the research participants themselves. The purpose of this chapter is to provide examples of how images can be used in research, and to identify some of the features particularly pertinent or specific to the use of images. The authors draw on their own research using these forms of data in studies on teaching and learning in higher education. The authors describe key issues related to data collection and analysis, and identify challenges in these processes. They also discuss trustworthiness of images as data and dependability of interpretations in the process of analysing photographs, drawings and metaphors, and identify ethical perspectives specific to research utilising these data.

This paper aims to systematically visualize the structure and trends from 2005 to 2021, which will help scholars gain a deeper appreciation for existing studies and grasp future research possibilities and directions.

The approach is bibliometric, using VOSviewer and CiteSpace to analyze 765 journal articles and reviews from the Web of Science (WoS) and Scopus databases over the past 16 years.

There is considerable interest in urban tourism destination image (U-TDI), partly because of the role of image in promoting the economic development of urban tourism and the associated benefits to stakeholders. Most research output concerns China, the USA, Spain and the United Kingdom (UK); research in the USA context has had a particularly wide range of influence. Highly cited journals play a crucial role, while subject structure, key articles and high-frequency keywords indicate popular topics, sub-themes and development trends. Drawing on these findings, the authors identify four topics that deserve further study.

This systematic review will enhance understanding of U-TDI research and inform future research directions as well as highlighting the need to explore destination image in greater depth, it guides policymakers in the tourism industry seeking to develop city image.

The purpose of this paper is to describe and position the state-of-the-art of text and image mining methods in business research. By providing a detailed conceptual and technical review of both methods, it aims to increase their utilization in service research.

On a first stage, the authors review business literature in marketing, operations and management concerning the use of text and image mining methods. On a second stage, the authors identify and analyze empirical papers that used text and image mining methods in services journals and premier business. Finally, avenues for further research in services are provided.

The manuscript identifies seven text mining methods and describes their approaches, processes, techniques and algorithms, involved in their implementation. Four of these methods are positioned similarly for image mining. There are 39 papers using text mining in service research, with a focus on measuring consumer sentiment, experiences, and service quality. Due to the nonexistent use of image mining service journals, the authors review their application in marketing and management, and suggest ideas for further research in services.

This manuscript focuses on the different methods and their implementation in service research, but it does not offer a complete review of business literature using text and image mining methods.

The results have a number of implications for the discipline that are presented and discussed. The authors provide research directions using text and image mining methods in service priority areas such as artificial intelligence, frontline employees, transformative consumer research and customer experience.

The manuscript provides an introduction to text and image mining methods to service researchers and practitioners interested in the analysis of unstructured data. This paper provides several suggestions concerning the use of new sources of data (e.g. customer reviews, social media images, employee reviews and emails), measurement of new constructs (beyond sentiment and valence) and the use of more recent methods (e.g. deep learning).

Properly conceived, conducted and interpreted, motivation research can be an extremely powerful management tool, designed to help the manufacturer or advertiser to sell more goods. Its aim is to expose the market situation, explain it and suggest courses of action which will lead to desired changes. It is a way of looking at a problem rather than a collection of specialist techniques and is strictly practical. Hence it can be used alongside other market research tools for the solution of marketing problems and can be applied to a wide range of business activities. Much of its development has been in the advertising field but it can also help in the formulation of production policy, solving packaging problems and marketing operations. It is examined here in all these contexts. The idea of motivation research, the reasons for its use and the techniques by which to apply it are discussed, as well as the pitfalls that are likely to occur. New and imaginary case studies are used throughout to illustrate points. A review of the subject literature is included.

The purpose of this paper is to assess the use of structural equation modeling in one specific field of marketing research, the image research.

A meta-analysis of a sample of image marketing works using structural equation modeling (SEM). The period of investigation is limited to the last five years to test for possible positive return of previous assessments of SEM use on the current SEM application.

Following this work, three major conclusions emerged: the study of homogenous samples of SEM models is required to get to accurate assessment of using the technique; SEM application is getting better probably due to learning from SEM reviews; and the reliance on a conjoint assessment of the various SEM issues is necessary to avoid parsimonious assessments. This study has provided a concise and refreshed view on the use of SEM in one marketing field, the image research.

47 SEM papers and 99 models along five years were examined through this research. Although the authors reviewed four of the most consulted databases in marketing, the authors might miss several interesting works not available in these databases during the investigation. It is interesting to add on the works reviewed in this study and to re-conduct the analysis. The objective is not to doubt the consistency of SEM image research but to provide writers and readers with tools that enable them to produce better quality SEM research. Moreover, the quantitative analysis could be larger. Future research can consider computing other statistics. Finally, in the standards of most of marketing journals, this paper is a bit long. But as suggested by Babin et al., journal editors should allow more space to SEM-based reviews as the nature of the discussion requires lengthening.

Mastering the statistical tool in marketing research is as important as mastering the conceptual tool. Statistical learning and/or cooperation with statisticians is recommended.

A multi-criteria review of works from one specific field in marketing research and across a recent period of time allowing for the test of possible positive return from previous reviews of SEM use on the quality of the current publications of SEM papers.

The main objective of this paper is to discuss how photography might help give research participants a louder voice in (qualitative) critical accounting and management research, enabling their multiple voices to be better represented/performed through the technique of “native image making”. A secondary aim is to familiarise the reader with key developments and debates in the field of “visual research” more generally.

A brief overview of the field is offered, and, drawing on examples from the author's visual research practice, how the concept of “photo‐voice” might increase participants' involvement in research in two ways is discussed.

First, it is argued that accessibility of the method, control of the research agenda and ownership of the images give a louder voice in the process of research. Second, and following Barthes, it is contended that through their iconic and quasi‐representational nature, photographic images can communicate participants' views of their worlds with more primacy than language alone, raising their voices in the dissemination of research.

The paper has especial implications for researchers engaged in critical studies of accounting and management seeking to give voice to marginal groups of people traditionally disregarded by mainstream organization/management studies.

The paper contributes to the development of a novel qualitative methodology for accounting and management research.

The purpose of this paper is to report on a research study which examined how and why images were used by professional image users to inform the design and development of information systems and services.

A total of 20 participants in four user groups, archaeologist, architect, art historian and artist, took part in this qualitative research study. Data was collected through a survey and one-on-one semi-structured interview and data analysis was completed using case-ordered displays and the constant comparative method.

The findings revealed that image use varied according to profession. Archaeologists and art historians identified using images within their lecture presentations, and for research and publications. While architects and artists noted using images for research and design creation, their work products differed. Several reasons why these professionals used images in their work were identified: knowledge, conceptual model, inspiration, cognitive recall, critical thinking, emotion, engagement, marketing, proof, social connection, translation, and trust.

Study limitations include the small number of user groups, and methods dependent on participants' abilities to recall and clearly articulate past activities.

The study clarifies the varied roles visual information plays in the work of archaeologists, architects, art historians and artists. As the paper reveals how and why images are used, its contents are particularly useful for systems designers, librarians and other individuals who support image users.

Two studies investigate how different structural properties of images – symmetry (vertical and horizontal) and image contrast – affect social media marketing outcomes of consumer liking and engagement.

In Study 1’s experiment, 361 participants responded to social media marketing images that varied in vertical or horizontal symmetry and level of image contrast. Study 2 analyzes field data on 610 Instagram posts.

Study 1 demonstrates that vertical or horizontal symmetry and high image contrast increase consumer liking of social media marketing images, and that processing fluency and aesthetic response mediate these relationships. Study 2 reveals that symmetry and high image contrast improve consumer engagement on social media (number of “likes” and comments).

These studies extend theory regarding processing fluency’s and aesthetic response’s roles in consumer outcomes within social media marketing. Image posts’ structural properties affect processing fluency and aesthetic response without altering brand information or advertising content.

Because consumer liking of marketing communications (e.g. social media posts) predicts persuasion and sales, results should help marketers design more effective posts and achieve brand-building and behavioral objectives. Based on the results, marketers are urged to consider the processing fluency and aesthetic response associated with any image developed for social media marketing.

Addressing the lack of empirical investigations in the existing literature, the reported studies demonstrate that effects of symmetry and image contrast in generating liking are driven by processing fluency and aesthetic response. Additionally, these studies establish novel effects of images’ structural properties on consumer engagement with brand-based social media marketing communications.