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The purpose of this paper is to acknowledge that there are bibliometric differences between Social Sciences and Humanities (SSH) vs Science, Technology, Engineering and Mathematics (STEM). It is not so that either SSH or STEM has the right way of doing research or working as a scholarly community. Accordingly, research evaluation is not done properly in one framework based on either a method from SSH or STEM. However, performing research evaluation in two separate frameworks also has disadvantages. One way of scholarly practice may be favored unintentionally in evaluations and in research profiling, which is necessary for job and grant applications.

In the case study, the authors propose a tool where it may be possible, on one hand, to evaluate across disciplines and on the other hand to keep the multifaceted perspective on the disciplines. Case data describe professors at an SSH and a STEM department at Aalborg University. Ten partial indicators are compiled to build a performance web – a multidimensional description – and a one-dimensional ranking of professors at the two departments. The partial indicators are selected in a way that they should cover a broad variety of scholarly practice and differences in data availability.

A tool which can be used both for a one-dimensional ranking of researchers and for a multidimensional description is described in the paper.

Limitations of the study are that panel-based evaluation is left out and that the number of partial indicators is set to 10.

The paper describes a new tool that may be an inspiration for practitioners in research analytics.

Process mining provides a generic collection of techniques to turn event data into valuable insights, improvement ideas, predictions, and recommendations. This paper uses spreadsheets as a metaphor to introduce process mining as an essential tool for data scientists and business analysts. The purpose of this paper is to illustrate that process mining can do with events what spreadsheets can do with numbers.

The paper discusses the main concepts in both spreadsheets and process mining. Using a concrete data set as a running example, the different types of process mining are explained. Where spreadsheets work with numbers, process mining starts from event data with the aim to analyze processes.

Differences and commonalities between spreadsheets and process mining are described. Unlike process mining tools like ProM, spreadsheets programs cannot be used to discover processes, check compliance, analyze bottlenecks, animate event data, and provide operational process support. Pointers to existing process mining tools and their functionality are given.

Event logs and operational processes can be found everywhere and process mining techniques are not limited to specific application domains. Comparable to spreadsheet software widely used in finance, production, sales, education, and sports, process mining software can be used in a broad range of organizations.

The paper provides an original view on process mining by relating it to the spreadsheets. The value of spreadsheet-like technology tailored toward the analysis of behavior rather than numbers is illustrated by the over 20 commercial process mining tools available today and the growing adoption in a variety of application domains.

Healthcare systems are under pressure to improve their performance, while at the same time facing severe resource constraints, particularly workforce shortages. By applying resource-dependency-theory (RDT), we explore how healthcare organizations in different settings perceive pressure arising from uncertain access to resources and examine organizational strategies they deploy to secure resources.

A cross-sectional survey of key decision-makers in different healthcare settings in the metropolitan area of Cologne, Germany, on perceptions of pressure arising from the environment and respective strategies was conducted. For comparisons between settings radar charts, Kruskal–Wallis test and Fisher–Yates test were applied. Additionally, correlation analyses were conducted.

A sample of n = 237(13%) key informants participated and reported high pressure caused by bureaucracy, time constraints and recruiting qualified staff. Hospitals, inpatient and outpatient nursing care organizations felt most pressurized. As suggested by RDT, organizations in highly pressurized settings deployed the most vociferous strategies to secure resources, particularly in relation to personnel development.

This study is one of the few studies that focuses on the environment's impact on healthcare organizations across a variety of settings. RDT is a helpful theoretical foundation for understanding the environment's impact on organizational strategies. The substantial variations found between healthcare settings indicate that those settings potentially require specific strategies when seeking to address scarce resources and high demands. The results draw attention to the high level of pressure on healthcare organizations which presumably is passed down to managers, healthcare professionals, patients and relatives.

This paper aims to identify the occupational profiles of a logistics and a supply chain (SC) controller, both promising SC professions, examining the required competences and tasks undertaken while taking into account current trends in supply chain management and its wider dimensions.

The study used a content analysis based on job advertisements for the position of logistics controller and SC controller. The collected material allowed the construction of an occupational competence mix model in the style of Cheetham and Chivers for the logistics and SC controller, and the identification of the level of competence of both professions, using the model proposed by Czapla. In addition, the analysis of the data was supplemented by use of the Anova test and a radar chart.

The SC and logistics controllers have a high degree of similarity in both the meta and core competences areas. Similarities also occur in the case of the analysed groups of tasks undertaken by these professions. Tasks in the areas of “definition” and “maintaining” prevail. The SC controller and the logistics controller are considered “engaged inspirers” because they have reached this level of professional competence. Both these professions can ensure an effective, sustainable and transparent SC through direct cooperation with the SC manager and/or logistics manager.

This study uses a content analysis based on job advertisements addressed to the German market. These job advertisements are standardized, and therefore, provide only a general outline of the competences and tasks of the SC and logistics controllers.

The study provides information to practitioners by identifying the competences and tasks assigned to the SC and logistics controllers that are needed to improve the efficiency and transparency of the SC and its management. The research is an incentive for people involved in education to adapt changes in curricula in the business (accounting, controlling and logistics) and engineering (related to logistics) fields of study by creating courses based on SC controlling or/and logistics controlling.

The study shows the current, necessary changes for SC professionals (e.g. the appointment of a SC controller and/or logistics controller) resulting from changes in business and the challenges for SC management (e.g. transparency and sustainability).

The purpose of this study is to determine the distraction factors based on their contributions in affecting seafarers’ physical and psychological well-being.

A systematic average mean value technique incorporated with quantitative data collection is applied to determine the contributions of the involved factors in establishing the distraction problems among seafarers.

Element of “Food and nutrition” is recorded as the highest contributing factor to Malaysian seafarers, for deck and engine department, respectively, in establishing the distraction-related problem among five other factors involved.

This paper is only providing a scope of knowledge regarding the contribution of potential distraction factors existing on board the offshore ships. However, the potential distraction factors and their contributions, respectively, are very dynamic and may vary, depending on the situation of a particular area and who are being involved.

The result assists the shipping industry in recognizing the actual causes of the occurrences of marine casualties and incidents related to human factors.

The benefits are addressed to seafarers’ community where their well-being and work performances could be enhanced, thus reducing the occurrences of marine casualties and incidents. Local community at the shores also will be less threatened by marine pollution caused by the accidents of ships at sea.

The result provides a scope of knowledge regarding distraction-related factors in shipboard operation and also the introduction to a systematic assessment approach to determine and rank the parameters by using the systematic average mean value technique which is also a straightforward method and can be applied in any other circumstances.

This paper sets out to compare different methodologies for measuring the value(s) of live popular music and to explore the different motivations amongst a range of organisations engaged in that work.

The authors analyse how the values of live music are measured, who does it and why. Based on this analysis the authors present a model that visualises the myriad of organisations, methods, aims and objectives involved.

The authors identify three approaches to measuring the impact of live music (economic impact studies, mapping and censuses and social sciences and humanities) and three types of actors (industry, policy and academia). The analysis of these demonstrates that measuring live music is not a neutral activity, but itself constructs a vision on how live music ecologies function

For cultural organisations, demonstrating the outcomes of their work is important in acquiring various forms of support. The model presented in this paper helps them to select adequate methodologies and to reflect on the consequences of particular approaches to measuring live music activities.

While the number of studies measuring live music's impact is growing, theoretical and methodological reflection on these activities is missing. The authors compare the different methodologies by discussing strengths and weaknesses. This results in a model that identifies gaps in existing studies and explores new directions for future live music research. It enhances understanding of how different ways of measuring live music affect policymaking and conceptions of what live music is and should be.

The purpose of this paper is to study the architecture of holographic personalized portal, user modeling, commodity modeling and intelligent interaction.

In this paper, the authors propose crowd-science industrial ecological system based on holographic personalized portal and its interaction. The holographic personality portal is based on holographic enterprises, commodities and consumers, and the personalized portal consists of accurate ontology, reliable supply, intelligent demand and smart cyberspace.

The personalized portal can realize the information acquisition, characteristic analysis and holographic presentation. Then, the intelligent interaction, e.g. demand decomposition, personalized search, personalized presentation and demand prediction, will be implemented within the personalized portal.

The authors believe that their work on intelligent interaction based on holographic personalized portal, which has been first proposed in this paper, is innovation focusing on the interaction between intelligence and convenience.

The objective of the presented pilot study was to test the applicability of a metric to specifically measure performance improvement via a hands-on workshop about collaborative robotics.

Candidates interested in acquiring basic practical skills in working with a collaborative robot completed a distance learning exercise in preparation for a hands-on training workshop. The candidates executed a test before and after the workshop for recording the parameters compiled in the tested performance index (PI).

The results reflected the potential of the tested PI for applications in detecting improvement in practical skill acquisition and revealed potential opportunities for integrating additional performance factors.

The low number of candidates available limited in-depth analyses of the learning outcomes.

The study outcomes provide the basis for follow-up projects with larger cohorts of candidates and control groups in order to expedite the development of technology-assisted performance measurements.

The study contributes to research on performance improvement and prediction of learning outcomes, which is imperative to this emerging field in learning analytics.

The development of the presented PI addresses a scientific gap in learning analytics, i.e. the objective measurement of performance improvement and prediction along skill-intensive training courses. This paper presents an improved version of the PI, which was published at the 12th Conference on Learning Factories, Singapore, April 2022.