@misc{13301,
abstract = {{Production environments are characterized by an increasingly diverse workforce caused by demographic change, globalization, and the rising demand for inclusion and equality. To ensure employee satisfaction for such a diverse workforce, gamification is a promising method. However, one-size-fits-all approaches are not sufficient, and more user-adaptive and inclusive gamified systems are needed. Therefore, this systematic literature review aims to answer the question of which user-adaptive gamified systems exist for manufacturing and how they provide inclusivity for individuals in their everyday work. Following PRISMA guidelines, a search of five electronic databases retrieved 22 relevant articles. Analysis of the literature revealed a lack of user-centered and inclusive gamified systems. Further, limited empirical evaluations in real production environments, limited application scenarios, and the need for more diverse research were identified. Based on the results, this study identifies key research gaps and provides recommendations for future research.}},
author = {{Mordaschew, Viktoria and Latos, Benedikt and Rubart, Jessica and Röcker, Carsten}},
booktitle = {{International Journal of Human–Computer Interaction}},
issn = {{1532-7590}},
keywords = {{Gamification, manufacturing, inclusivity : human-centered systems : literature review}},
pages = {{1--28}},
publisher = {{Taylor & Francis}},
title = {{{User-Centered Gamification in Manufacturing: A Systematic Literature Review}}},
doi = {{10.1080/10447318.2025.2578390}},
volume = {{41}},
year = {{2025}},
}
@misc{12719,
abstract = {{A human digital twin (HDT) is a virtual representation of a worker in cyberspace. Nevertheless, current research focusses mainly on HDTs for motoric work types, such as assembly. To fully integrate an HDT for workers in production, it is necessary that an HDT also displays cognitive processes like memorizing, thinking or reasoning. Such a concept can be used in information-based work, for example monitoring highly automated production systems, and contribute to the planning and control of production. Due to the high proportion of planning and decision-making processes, the efficiency of information-based work is determined in particular by the inner processes of the worker. An HDT can therefore help to describe current and future states of socio-technical work systems. Therefore, this paper presents a systematic literature review to explicitly derive the relevant components of an HDT for information-based work types. The elements of such an HDT and its environment are defined. Further, the current gaps in literature are identified. There are currently no real-world applications of such an HDT. Additionally, the value of multi-HDT systems must be evaluated more extensively.}},
author = {{Mordaschew, Viktoria and Latos, Benedikt and Tackenberg, Sven}},
booktitle = {{Procedia Computer Science}},
issn = {{1877-0509}},
keywords = {{Human-centric Production, Digital Twin, Systematic Literature Review}},
pages = {{2137--2146}},
publisher = {{Elsevier}},
title = {{{A Human Digital Twin for Worker-Centric Production}}},
doi = {{https://doi.org/10.1016/j.procs.2025.01.274}},
volume = {{253}},
year = {{2025}},
}
@misc{11915,
abstract = {{With the human factor being identified as the weakest link in the chain of information security, we investigate the effects of the COVID-19 pandemic on approaches to develop awareness trainings. Following the literature approach of vom Brocke, we identify five focus areas in recent literature which we are able to divide further into supporting effects and human factors for information security awareness trainings. Furthermore, we identify research gaps in current literature which can inspire future investigations.}},
author = {{Meister, Robin and Guhr, Nadine}},
booktitle = {{Wirtschaftsinformatik 2024 Proceedings}},
keywords = {{Information Security, Literature Review, Human Factor, Education, Awareness}},
location = {{Würzburg}},
pages = {{16}},
publisher = {{WI}},
title = {{{Recent Insights in Information Security Awareness Training: A Systematic Literature Review }}},
year = {{2024}},
}
@misc{11972,
abstract = {{As companies increasingly adopt software applications to improve business efficiency, often digitization gaps arise when legacy systems fail to integrate with new applications. These gaps often result in redundant task execution across incompatible systems. Robotic Process Automation (RPA) emerges as a solution by automating such tasks. However, selecting the right processes that will be subjected to RPA is crucial to avoid failures and resource waste. Therefore, this paper introduces a four-stage method to evaluate processes for RPA suitability, grounded on the Analytic Hierarchy Process (AHP). By systematically analyzing scientific literature and incorporating weights from RPA experts, this paper sheds light on the complex nature of process selection criteria for RPA. Tested in a company, the method facilitates the process selection, indicating its practical applicability.}},
author = {{Meyer, Frederic and Hinrichsen, Sven and Padoano, Elio}},
booktitle = {{Human Systems Engineering and Design (IHSED2024): Future Trends and Applications}},
editor = {{Ahram, Tareq and Karwowski, Waldemar and Etinger, Darko and Mijač, Tea }},
isbn = {{978-1-964867-34-2}},
issn = {{2771-0718}},
keywords = {{Analytic Hierarchy Process (AHP), Evaluation Method, MCDM, Robotic Process Automation (RPA), Selection Criteria, Systematic Literature Review (SLR)}},
location = {{Split}},
publisher = {{AHFE International}},
title = {{{A Structured Method for the Selection of Business Processes Suitable for Robotic Process Automation}}},
doi = {{10.54941/ahfe1005524}},
volume = {{158}},
year = {{2024}},
}
@misc{9422,
abstract = {{Global trends towards the rapidly increasing use of information systems (IS) apply to the IS research domain and related publications. Nonetheless, investigations of trends in publication behavior and emergence as well as changes in IS research are usually narrowly focused. This article contributes to the growing number of articles published in the IS domain by analyzing the evolution of trends and major research fields as well as the regional distribution of publications in the AIS Senior Scholars' Basket of Eight (AIS Bo8) and the International Conference on Information Systems (ICIS), changes in publication behavior, and the emergence of as well as changes to IS research fields and trends. Our semi-automated literature review integrates scientific methods to support the review and classification of publications. Based on 6692 articles published in the ICIS proceedings and the AIS Bo8 journals in a period of 16 years, we elaborate the key characteristics of research development. Our contribution provides and interprets a contemporaneous account of contextual factors influencing the IS research domain. Thus, our study enhances understanding of the development of the IS research domain.}},
author = {{Guhr, Nadine and Werth, Oliver and Passlick, Jens and Breitner, Michael H.}},
booktitle = {{Information}},
issn = {{2078-2489}},
keywords = {{global information systems research, research trends, research field, (semi-) automated literature review, latent semantic indexing}},
number = {{2}},
pages = {{94}},
publisher = {{MDPI}},
title = {{{Trends of Top IS Research by Region, Outlet, and Emergence: A Semi-Automated Literature Review}}},
doi = {{10.3390/info14020094}},
volume = {{14}},
year = {{2023}},
}
@misc{13583,
abstract = {{Organ transplantation is associated with significant physical and psychological burden for the recipients. Qualitative reports indicate that organ recipients develop donor and donation images (DDI)—conceptions of the donor and/or the organ. A deeper understanding of DDI is needed in the care of transplant recipients. To present the current state of knowledge, we searched for and identified DDI-related publications in PubMed and Scopus. Inclusion criteria were (1) studies addressing transplant recipients, and (2) English or German language. Twenty-one studies of individuals with transplanted hearts, lungs, or kidneys were included in this scoping review. Prevalence for DDI ranged from 6% to 52.3%. DDI occurs both before and after transplantation and includes ideas about the donor as well as whether and how the recipient’s personality may be altered by the transplanted organ. Some transplant recipients did indeed report personality changes following transplantation due to the adoption of assumed donor characteristics. One study showed a positive association between the presence of DDI and anxiety scores and one described a coping effect. DDI is understudied and should be systematically assessed to improve care for the vulnerable group of individuals undergoing organ transplantation. Current research gaps and future directions are discussed.}},
author = {{Laskowski, Nora M. and Brandt, Gerrit and Tigges-Limmer, Katharina and Halbeisen, Georg and Paslakis, Georgios}},
booktitle = {{Journal of Clinical Medicine}},
issn = {{2077-0383}},
keywords = {{donor image, donation image, organ integration, organ transplantation, heart transplantation, lung transplantation, kidney transplantation, DDI, psychocardiology, scoping review}},
number = {{3}},
publisher = {{MDPI}},
title = {{{Donor and Donation Images (DDI)-A Scoping Review of What We Know and What We Don't}}},
doi = {{10.3390/jcm12030952}},
volume = {{12}},
year = {{2023}},
}
@misc{7147,
abstract = {{Purpose: Industry 4.0 technologies influence how production is planned, scheduled, and controlled. In literature, different classifications of the tasks and functions of production planning and control (PPC) exist, of which one is the German Aachen PPC model. This research aims to identify and classify current Industry 4.0 approaches for planning and controlling production processes and to reveal researched and unexplored areas of the model.
Design/methodology/approach: In an exploratory literature review, we review and classify 48 publications on a full-text basis with the Aachen PPC model's tasks and functions. Two cluster analyses reveal researched and unexplored tasks and functions of the Aachen PPC model. Additionally, we give a summary of each reviewed publication.
Findings: We propose a cyber-physical PPC architecture, which incorporates current Industry 4.0 technologies, current optimization methods, optimization objectives, and disturbances relevant for realizing a PPC system in a smart factory. Current approaches focus on the in-house PPC, particularly on the control using real-time information from the shop floor. We propose future research directions for the unexplored tasks and functions of the Aachen PPC model.
Research limitations/implications: The selection of search terms and the texts' interpretation is based on an individual assessment. The revelation of unexplored tasks and functions of the Aachen PPC model might have a different outcome if the search term combination is parameterized differently.
Originality/value: Using the Aachen PPC model, which holistically models PPC, the findings give comprehensive insights into the current advances of tools, methods, and challenges relevant to planning and controlling production processes under Industry 4.0.}},
author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Padoano, Elio and Gamber, Thilo}},
booktitle = {{Journal of Industrial Engineering and Management}},
issn = {{2013-0953}},
keywords = {{Production planning and control, Industry 4.0, Industrial Internet of Things, Exploratory literature review}},
number = {{1}},
publisher = {{ OmniaScience}},
title = {{{Approaches of production planning and control under industry 4.0: A literature review}}},
doi = {{http://dx.doi.org/10.3926/jiem.3582}},
volume = {{15}},
year = {{2022}},
}
@misc{12796,
abstract = {{This Design-Based Research (DBR) project aims to develop an intelligent tutoring system (ITS) for higher education. The system will collect teaching and learning materials in audio and video formats (e.g., podcasts, lecture recordings, screencasts, and explainer videos), and store them on a learning experience platform (LXP). Then, the ITS will process them with the help of speech recognition to gain data which, in turn, will be used to power further applications: Using artificial intelligence (AI), the platform will allow users to search the materials, automatically compiling them according to criteria like lesson subject, language, medium, or required prior knowledge. By the end of the last DBR cycle, the ITS will also provide a more active form of support: It will automatically generate exercises based on predefined patterns and teaching materials, thus allowing learners to check up on their learning progress autonomously. In order to closely match the ITS's features to the needs and learning habits of students in higher education, the development of this AI-based tutoring system is accompanied by an interdisciplinary team which will continuously re-evaluate and adapt the concept over the course of several DBR cycles. Our goal is to derive implications for the system's technical development by collecting and evaluating educational research data (mixed methods design; primary and secondary research methods).}},
author = {{Schmohl, Tobias and Schelling, Kathrin and Go, Stefanie and Thaler, Katrin Jana and Watanabe, Alice}},
booktitle = {{Proceedings of the 14th International Conference on Computer Supported Education - Vol. 2}},
editor = {{Cukurova, Mutlu and Rummel, Nikol and Gillet, Denis and McLaren, Bruce and Uhomoibhi, James }},
keywords = {{Artificial Intelligence in Higher Education, Design-based Research, Intelligent Tutoring System, Participatory Technology Design, Scoping Review}},
location = {{Online}},
pages = {{179--186}},
publisher = {{SCITEPRESS - Science and Technology Publications}},
title = {{{Development, Implementation and Acceptance of an AI-based Tutoring System: A Research-Led Methodology}}},
doi = {{10.5220/0011068500003182}},
year = {{2022}},
}
@article{7033,
abstract = {{Industry 4.0 technologies influence how production is planned, scheduled, and controlled. In literature, different classifications of the tasks and functions of production planning and control (PPC) exist, of which one is the German Aachen PPC model. This paper conducts an exploratory literature review by reviewing 48 publications on a full-text basis. Based on the review, a cyber-physical PPC architecture is proposed, which incorporates current Industry 4.0 technologies, current optimisation methods, optimisation objectives, and disturbances, relevant for the realisation of a PPC system in a smart factory. A classification scheme is developed as a basis for two cluster analyses that reveal researched and unexplored tasks and functions of the Aachen PPC model. Current approaches focus on the in-house PPC, particularly on the control using real-time information from the shop floor. Future research directions are proposed for the unexplored tasks and functions of the Aachen PPC model.}},
author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Padoano, Elio and Gamber, Thilo}},
issn = {{1877-0509}},
journal = {{Procedia Computer Science}},
keywords = {{Production planning, control, Industry 4.0, Industrial Internet of Things, Exploratory literature review}},
pages = {{208--218}},
publisher = {{Elsevier}},
title = {{{A literature review and cluster analysis of the Aachen production planning and control model under Industry 4.0}}},
doi = {{10.1016/j.procs.2021.01.158}},
volume = {{180}},
year = {{2021}},
}
@misc{12805,
abstract = {{n recent decades, the demand for palm oil has constantly increased and with it the cultivation of oil palms. After a period of 25 years, the oil yield of the palm trees decreases and they are felled. The trees are cut into pieces and remain on the plantations. However, due to their high moisture and sugar content, fungi and molds cause problems for replanting. The use of the wood for the timber industry is difficult due to its structural characteristics. Biotechnological processes use microorganisms to produce relevant industrial products. The basis for each process is a culture medium that contains all necessary nutrients, especially carbohydrates. The culture medium makes up a high percentage of the costs, so alternative, cheaper substrates are preferred. In this review, we show and compare different analyses of the sap mechanically pressed from the oil palm trunk regarding its sugar and nutrient content. The total sugar concentration in the palm sap varies between 16.97–140 g L−1 and it is mainly composed of glucose, fructose, and sucrose. The comparison with common nutrient media and the results of fermentation processes already carried out on a laboratory scale show that palm sap offers great potential as a fermentation medium for biotechnological conversion into industrially relevant products. }},
author = {{Dirkes, Rabea and Neubauer, Pia Rebecca and Rabenhorst, Jürgen}},
booktitle = {{Biofuels, Bioproducts and Biorefining}},
issn = {{1932-1031}},
keywords = {{oil palm, trunks, pressed sap, Elaeis guineensis, sugar, nutrients, review}},
number = {{3}},
pages = {{931--944}},
publisher = {{Wiley}},
title = {{{Pressed sap from oil palm (Elaeis guineensis) trunks: a revolutionary growth medium for the biotechnological industry?}}},
doi = {{10.1002/bbb.2201}},
volume = {{15}},
year = {{2021}},
}
@misc{7891,
author = {{Winschel, Julija and Stawinoga, Martin}},
booktitle = {{Management Review Quarterly}},
issn = {{2198-1620}},
keywords = {{CEO Sustainable CEO compensation Structured literature review Corporate governance Principal agent theory Stakeholder-agency theory Behavioral-agency theory}},
location = {{Brussels, Belgiuu}},
pages = {{265--328}},
publisher = {{Springer}},
title = {{{Determinants and effects of sustainable CEO compensation: a structured literature review of empirical evidence}}},
doi = {{10.1007/s11301-019-00154-9}},
volume = {{69}},
year = {{2019}},
}