TY - JOUR A1 - Haase, Jennifer A1 - Thim, Christof T1 - An approach to model forgetting JF - AIS Transactions on Enterprise Systems N2 - This paper aims to investigate the possibility to include aspects of forgetting into business process modeling. To date, there is no possibility to model forgotten or to-be- forgotten elements beyond the mere deletion. On a first attempt, we focus on the individual level and model knowledge transformation within a single person. Using the Knowledge Model Description Language, we propose ways to include different forms of forgetting into the realm of modeling tools. Using data from an experimental setting within an assembly line production environment, the usability of those new modeling tools is tested. So far, the applicability of modeling features for forgetting on the individual level is mostly restricted to a research context. However, clear requirements to transfer the tools onto the team- and organizational level are set out. Y1 - 2020 U6 - https://doi.org/10.30844/aistes.v4i1.17 VL - 4 IS - 1 PB - Gito mbH Verlag für Industrielle Informationstechnik und Organisation CY - Berlin ER - TY - CHAP A1 - Haase, Jennifer A1 - Thim, Christof A1 - Bender, Benedict ED - Marrella, Andrea ED - Weber, Barbara T1 - Expanding modeling notations BT - requirements for creative process modeling T2 - Business process management workshops N2 - Creativity is a common aspect of business processes and thus needs a proper representation through process modeling notations. However, creative processes constitute highly flexible process elements, as new and unforeseeable outcome is developed. This presents a challenge for modeling languages. Current methods representing creative-intensive work are rather less able to capture creative specifics which are relevant to successfully run and manage these processes. We outline the concept of creative-intensive processes and present an example from a game design process in order to derive critical process aspects relevant for its modeling. Six aspects are detected, with first and foremost: process flexibility, as well as temporal uncertainty, experience, types of creative problems, phases of the creative process and individual criteria. By first analyzing what aspects of creative work modeling notations already cover, we further discuss which modeling extensions need to be developed to better represent creativity within business processes. We argue that a proper representation of creative work would not just improve the management of those processes, but can further enable process actors to more efficiently run these creative processes and adjust them to better fit to the creative needs. KW - modeling KW - requirements KW - pockets of creativity KW - creative process Y1 - 2022 SN - 978-3-030-94342-4 SN - 978-3-030-94344-8 SN - 978-3-030-94343-1 U6 - https://doi.org/10.1007/978-3-030-94343-1_15 VL - 436 SP - 197 EP - 208 PB - Springer CY - Cham ER - TY - JOUR A1 - Schüffler, Arnulf A1 - Thim, Christof A1 - Haase, Jennifer A1 - Gronau, Norbert A1 - Kluge, Annette T1 - Willentliches Vergessen T1 - Intentional forgetting - precondition for flexibility and adaptivity in a permanent changing world BT - Voraussetzung für Flexibilität und Veränderungsfähigkeit in einer sich permanent verändernden Welt JF - Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO) N2 - Dieser Beitrag im Journal Gruppe. Interaktion. Organisation. stellt dar, wie willentliches Vergessen die Anpassung an notwendige Veränderungen für Individuen, Gruppen und Organisationen verbessert und wie willentliches Vergessen bewusst und gezielt gestaltet werden kann. Damit Verhalten in Folge einer notwendigen Veränderung angepasst wird, reicht es nicht aus, dass Menschen wissen was zu tun ist, willens und in der Lage sind ihr Verhalten zu verändern. Eine Veränderung gelingt nur dann, wenn nur noch das neue Verhalten zur Anwendung kommt und nicht mehr das Alte, wenn das alte Verhalten vergessen wird. Der notwendige Prozess des willentlichen Vergessens ist durch Entfernen von Hinweisreizen, die die Erinnerung des zu Vergessenden und durch Platzierung von Hinweisreizen, die die Aktivierung des Neuen auslösen, gestaltbar. Der vorliegende Beitrag stellt die förderliche Wirkung von Hinweisreizen auf willentliches Vergessen dar, stellt sie im Rahmen des Berichts einer experimentellen Studie unter Beweis und gibt praktische Implikationen, wie für Individuen, Gruppen und Organisationen willentliches Vergessen gestaltet werden kann. N2 - This paper in the journal Gruppe. Interaktion. Organisation. illustrates how intentional forgetting can improve the adaptation to necessary changes for individuals, groups and organizations, and how intentional forgetting can be consciously and purposefully designed.In order for behavior to be adapted as aresult of necessary change, it is not enough for people to know what to do, to be willing and able to change their behavior. Achange succeeds only if the new behavior is activated and not the old one, if the old behavior is forgotten. The necessary process of intentional forgetting can be designed by removing cues that retrieve memory items to be forgotten and placing cues that trigger the retrieval of the new.This paper presents the beneficial effects of cues on intentional forgetting, proves them in the context of areport of an experimental study and gives practical implications on how to design intentional forgetting for individuals, groups and organizations. KW - Intentional forgetting KW - Retrieval cues KW - Change KW - Adaptation KW - Behavior KW - Willentliches Vergessen KW - Hinweisreize KW - Veränderung KW - Anpassung KW - Verhalten Y1 - 2019 U6 - https://doi.org/10.1007/s11612-019-00466-0 SN - 2366-6145 SN - 2366-6218 VL - 50 IS - 2 SP - 197 EP - 209 PB - Springer CY - Wiesbaden ER - TY - CHAP A1 - Thim, Christof A1 - Gronau, Norbert A1 - Haase, Jennifer A1 - Grum, Marcus A1 - Schüffler, Arnulf A1 - Roling, Wiebke A1 - Kluge, Annette ED - Shishkov, Boris T1 - Modeling change in business processes T2 - Business modeling and software design N2 - Business processes are regularly modified either to capture requirements from the organization’s environment or due to internal optimization and restructuring. Implementing the changes into the individual work routines is aided by change management tools. These tools aim at the acceptance of the process by and empowerment of the process executor. They cover a wide range of general factors and seldom accurately address the changes in task execution and sequence. Furthermore, change is only framed as a learning activity, while most obstacles to change arise from the inability to unlearn or forget behavioural patterns one is acquainted with. Therefore, this paper aims to develop and demonstrate a notation to capture changes in business processes and identify elements that are likely to present obstacles during change. It connects existing research from changes in work routines and psychological insights from unlearning and intentional forgetting to the BPM domain. The results contribute to more transparency in business process models regarding knowledge changes. They provide better means to understand the dynamics and barriers of change processes. KW - intentional forgetting KW - routines KW - business processes KW - unlearning Y1 - 2023 SN - 978-3-031-36756-4 SN - 978-3-031-36757-1 U6 - https://doi.org/10.1007/978-3-031-36757-1_1 SP - 3 EP - 17 PB - Springer Nature CY - Cham ER - TY - CHAP A1 - Rüdian, Sylvio Leo A1 - Haase, Jennifer A1 - Pinkwart, Niels T1 - The relation of convergent thinking and trace data in an online course T2 - Die 19. Fachtagung Bildungstechnologien (DELFI) / Lecture Notes in Informatics (LNI) N2 - Many prediction tasks can be done based on users’ trace data. In this paper, we explored convergent thinking as a personality-related attribute and its relation to features gathered in interactive and non-interactive tasks of an online course. This is an under-utilized attribute that could be used for adapting online courses according to the creativity level to enhance the motivation of learners. Therefore, we used the logfile data of a 60 minutes Moodle course with N=128 learners, combined with the Remote Associates Test (RAT). We explored the trace data and found a weak correlation between interactive tasks and the RAT score, which was the highest considering the overall dataset. We trained a Random Forest Regressor to predict convergent thinking based on the trace data and analyzed the feature importance. The result has shown that the interactive tasks have the highest importance in prediction, but the accuracy is very low. We discuss the potential for personalizing online courses and address further steps to improve the applicability. KW - Convergent thinking KW - creativity KW - online course KW - MOOC KW - prediction Y1 - 2021 UR - https://dl.gi.de/bitstream/handle/20.500.12116/37008/DELFI_2021_181-186.pdf?sequence=1 SP - 181 EP - 186 PB - Gesellschaft für Informatik CY - Bonn ER - TY - CHAP A1 - Rudian, Sylvio Leo A1 - Haase, Jennifer A1 - Pinkwart, Niels T1 - Predicting creativity in online courses T2 - 2022 International Conference on Advanced Learning Technologies (ICALT) N2 - Many prediction tasks can be done based on users’ trace data. This paper explores divergent and convergent thinking as person-related attributes and predicts them based on features gathered in an online course. We use the logfile data of a short Moodle course, combined with an image test (IMT), the Alternate Uses Task (AUT), the Remote Associates Test (RAT), and creative self-efficacy (CSE). Our results show that originality and elaboration metrics can be predicted with an accuracy of ~.7 in cross-validation, whereby predicting fluency and RAT scores perform worst. CSE items can be predicted with an accuracy of ~.45. The best performing model is a Random Forest Tree, where the features were reduced using a Linear Discriminant Analysis in advance. The promising results can help to adjust online courses to the learners’ needs based on their creative performances. KW - prediction KW - online course KW - trace data KW - creativity Y1 - 2022 SN - 978-1-6654-9519-6 SN - 978-1-6654-9520-2 U6 - https://doi.org/10.1109/ICALT55010.2022.00056 SP - 164 EP - 168 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Haase, Jennifer A1 - Matthiesen, Julia A1 - Schüffler, Arnulf A1 - Kluge, Annette T1 - Retentivity beats prior knowledge as predictor for the acquisition and adaptation of new production processes T2 - Proceedings of the 53rd Hawaii International Conference on System Sciences N2 - In the time of digitalization the demand for organizational change is rising and demands ways to cope with fundamental changes on the organizational as well as individual level. As a basis, learning and forgetting mechanisms need to be understood in order to guide a change process efficiently and successfully. Our research aims to get a better understanding of individual differences and mechanisms in the change context by performing an experiment where individuals learn and later re-learn a complex production process using a simulation setting. The individual’s performance, as well as retentivity and prior knowledge is assessed. Our results show that higher retentivity goes along with better learning and forgetting performances. Prior knowledge did not reveal such relation to the learning and forgetting performances. The influence of age and gender is discussed in detail. KW - Innovation in Organizations: Learning KW - learning KW - Unlearning KW - Intentional Forgetting KW - experiment KW - forgetting KW - prior knowledge KW - production process KW - retentivity Y1 - 2020 U6 - https://doi.org/10125/64331 VL - 53 SP - 4797 EP - 4805 ER -