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Data visualizations in some form or another have served as decision-support tools for many centuries. In conjunction with advancements in information technology, data visualizations have become more accessible and more efficient to generate. In fact, virtually all enterprise resource planning and human resource (HR) information system vendors offer off-the-shelf data visualizations as part of decision-support dashboards as well as stand-alone images and displays for reporting. Plus, advances in programing languages and software such as Tableau, Microsoft Power BI, R, and Python have expanded the possibilities of fully customized graphics. Despite the proliferation of data visualization, relatively little is known about how to design data visualizations for displaying different types of HR data to different user groups, for different purposes, and with the overarching goal of improving the ways in which users comprehend and interpret data visualizations for decision-making purposes. To understand the state of science and practice as they relate to HR data visualizations and data visualizations in general, we review the literature on data visualizations across disciplines and offer an organizing framework that emphasizes the roles data visualization characteristics (e.g., display type, features), user characteristics (e.g., experience, individual differences), tasks, and objectives (e.g., compare values) play in user comprehension, interpretation, and decision-making. Finally, we close by proposing future directions for science and practice.

The purpose of this paper is to assess the use of two innovative job analysis techniques. First, a graphic‐based approach is used to collect job classification data. Second, the results are presented in a graphical representation to decision makers. In addition, the paper examines two concepts, similarity and relatedness, often confused by subject matter experts (SMEs) and decision makers in the context of job classification.

A case study approach was used. Focus groups of SMEs used a graphic‐based tool to group jobs into occupational clusters based on the concepts of similarity and relatedness. To effectively communicate the results to organizational decision makers a graphic presentation technique was used.

The paper found that SMEs were highly engaged in the graphical approach. Decision makers were also intrigued by the graphical presentation. In addition, the paper found confusion between the concepts of similarity and relatedness throughout the process. This confusion had important implications for the grouping of jobs into occupational clusters.

The graphic presentation of results highlighted issues around which the agency had been previously struggling. The approach allowed decision makers to examine and understand meaningful data and reach consensus on complex, multi‐faceted issues. The results also showed that people often confuse the similarity and relatedness of jobs, and that this confusion should be taken into consideration when communicating with non‐job analysts.

Job analysis and classification has changed little over the past several decades. This paper applies innovative ideas to job classification which are equally applicable to job analysis offering interesting avenues for future research and practice.

The purpose of this paper is to examine if university students could accurately extract information from graphs presented in 2D or 3D formats with different colour hue variations or solid black and white.

Participants are presented with 2D and 3D bar and pie charts in a PowerPoint presentation and are asked to extract specific information from the displays. A three (question difficulty) × two (graph type) × two (dimension) × two (colour) repeated measures ANOVA is conducted for both accuracy and reaction time.

Overall, 2D graphs led to better comprehension, particularly when complex information was presented. Accuracy was similar for colour and black and white graphs.

These results suggest that 2D graphs are preferable to 3D graphs, particularly when the task requires that the reader extract complex information.

For the past several decades, diagrams have been valuable additions to textual explanations in textbooks and in the classroom to teach various concepts. With an increase in technological advancements, many authors add extraneous features to their graphs to make them more aesthetically pleasing. This paper has shown, however, that 3D rendering may negatively affect graph comprehension.

Advancements in information technology and graphics software mean that colour graphics are an increasingly important part of the communication of business operations and corporate reporting. Unfortunately, the research literature on the effects of colour graphics on decision performance is sparse, and lends only limited and qualified support to the claims often made for colour coded graphics. There has been no research in the accounting environment of the impact of non‐redundant colour graphics (i.e. those not complemented by numerical or pattern support) on decision‐making performance. The existing literature suggests that gender, task complexity, field dependence and time constraints will all impact on the effectiveness of the use of colour, so this paper reports the results of a laboratory experiment designed to assess the interaction effects of non‐redundant colour coding in bar charts with information complexity, and with gender. A multivariate bankruptcy prediction decision is the task environment. Non‐redundant coding, rather than redundant coding, is used in this paper, to force subjects to use the actual colour coding in their decisions and in order to evaluate the effects of colour coding more fully. The results suggest that proponents of colour graphics must qualify their claims. Colour graphics improve decision making, though their impact is significant only when information complexity is low, and then for female subjects only.

Customization by segmenting within human–computer interaction is an emerging phenomenon. Appealing graphical elements that cater to user needs are considered progressively important, as the way a graphic is visually represented can greatly contribute to the interaction. However, aesthetic perceptions are subjective and may differ by target group. Understanding variations in user perceptions may aid in design processes; therefore, we set out to investigate the effects of demographic differences relating to perceptions of graphical user interface (GUI) element (i.e. game app icon) aesthetics.

The authors employed a vignette experiment with random participant (n = 513) assignment to evaluate 4 icons from a total of 68 pre-selected mobile game icons using semantic differential scales. This resulted in a total of 2052 individual icon evaluations. Regression analyses were performed with the effects of age, gender and time using graphical user interfaces (i.e. app stores) and the interactions of these variables relating to perceptions of GUI element aesthetics.

The results indicate that, overall, demographic factors have relatively little effect on how icons are perceived. Significant relations suggest that experienced users, younger audiences and women are more critical in their perception of aesthetic excellence, and that perceptions change for younger women. The implications of the findings are discussed via adaptive decision-making theory.

In the context of graphical user interface element aesthetics, demographic differences have received minimal attention as moderating variables regardless of their relevance in design and development. Hence, it merits further research.

Graphs in corporate annual reports are a double‐edged sword. While they offer the potential for improved communication of accounting information to users, the preparers of the annual reports can easily manipulate the graphs for their own interests. For over a decade, the empirical financial graphics literature has focused on examining company reporting practices. A particular concern has been measurement distortion, which violates a fundamental principle of graph construction. Unfortunately, it is not yet known whether observed levels of measurement distortion are likely to affect users’ perceptions of financial performance. This study uses an experimental approach to address this issue. Pairs of graphs are shown to establish the level of difference that is just noticeable to graph readers. Six levels of “distortion” are investigated (5 per cent, 10 per cent, 20 per cent, 30 per cent, 40 per cent and 50 per cent). Results indicate that if financial graphs are to avoid distorting the perceptions of users, then no measurement distortions in excess of 10 per cent should be allowed. Users with lower levels of financial understanding appear to be most at risk of being misled by distorted graphs. Further research will be necessary to investigate whether this impact upon perceptions subsequently affects users’ decisions in specific contexts.

The purpose of this study is to demonstrate an adaptation of the SERVQUAL survey method for measuring the quality of higher educational services in a Russian university context. We use a new analysis and a graphical technique for presentation of results.

The methodology of this research follows the classic SERVQUAL method in terms of data acquisition but provides a new approach for data analysis and presentation of findings. The technique is intended to improve upon the original method by including an importance-quality analysis grid and extending it with an innovative graphical tool for presenting results to decision-makers that is based on area-based ratios rather than difference scores.

The report includes survey results of two waves of research conducted in 2009 and 2014. Each wave consisted of 1,000 respondents from 20 branches of study and 11 higher education institutions, respectively.

It is argued that the SERVQUAL method can be improved significantly with the proposed technique. However, the validity and reliability of the importance, expectation and perception summary scores need to be further investigated. Also, alternative methods for quality assessment (SERVPERF/HEdPERF) should be tested and compared with the modified SERVQUAL method in Russian and other international education contexts.

Educational service quality assessments allow the management to acquire an image of the overall quality of an institution, as well as its strengths and weaknesses, thereby improving its strategic positioning to make improvements. It is hoped that the proposed improvement to the SERVQUAL technique will increase adoption of the method among academic institutions.

The improved SERVQUAL methodology demonstrated in this research replaces the widely criticised “difference scores” with an easily applied graphical display. The methodology also incorporates an importance-quality analysis providing a new perspective on the SERVQUAL data. The current findings provide valuable insights into the perceived quality of the Republic of Tatarstan’s higher education system in Russia, as given by its student customers.

This paper aims to address the user perspective about usability, security and use of five authentication schemes (text and graphical passwords, biometrics and hardware tokens) from a population not covered previously in the literature. Additionally, this paper explores the criteria users apply in creating their text passwords.

An online survey study was performed in spring 2019 with university students in Mexico and Bosnia and Herzegovina. A total of 197 responses were collected.

Fingerprint-based authentication was most frequently perceived as usable and secure. However, text passwords were the predominantly used method for unlocking computer devices. The participants preferred to apply personal criteria for creating text passwords, which, interestingly, coincided with the general password guidelines, e.g. length, combining letters and special characters.

Research on young adults’ perceptions of different authentication methods is driven by the increasing frequency and sophistication of security breaches, as well as their significant consequences. This study provided insight into the commonly used authentication methods among youth from two geographic locations, which have not been accounted for previously.

The purpose of this paper is to propose PlaceMaker as a method of urban analysis and design which both detects elements that do not feature in traditional mapping and which constitute the contemporary identity of the places, and identifies appropriate project interventions. In order to illustrate the method's potential, the final results of experimentation carried out in the Ramblas in Barcelona are presented.

The proposed method gathers, processes and reconstructs the data deriving from nominal, perceptual, graphic, photographic and video surveys, and compares these data with those provided by an analysis of expectations, an analysis of traditional cartography and two questionnaires administered to local inhabitants. The information collected during the phases of analysis constitutes the basis for constructing guidelines for sustainable design and planning. Two final complex maps – the first of analysis and the second of design – respectively, represent the identity of places and project interventions.

The design orientations took into account liveability, place identity, safety of this place and user preferences in order to mitigate the impact of globalization and achieve sustainable urban development. The experiment shows that the urban identity emerging in the analysis phases is not entirely sustainable: many factors are contributing to transforming it not only through changes in places, but also in habits and perceptions of the huge flow of people who use the Ramblas. The actions proposed are thus designed to enhance the identity of places, albeit not crystallizing it.

PlaceMaker is an original method which is intended for use as a support tool in integrated sustainable project design targeting place identity and as a tool for dynamic and complex place knowledge. The main potential beneficiaries are administrators, urban planners and designers and, in simplified form, citizens, tourists and place users.