@inproceedings{GrumThimRolingetal.2023,
  author    = {Grum, Marcus and Thim, Christof and Roling, Wiebke and Sch{\"u}ffler, Arnulf and Kluge, Annette and Gronau, Norbert},
  title     = {AI case-based reasoning for artificial neural networks},
  series = {Artificial intelligence and industrial applications},
  volume    = {771},
  booktitle = {Artificial intelligence and industrial applications},
  editor    = {Masrour, Tawfik and El Hassani, Ibtissam and Barka, Noureddine},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-43523-2},
  doi       = {10.1007/978-3-031-43524-9_2},
  pages     = {17 -- 35},
  year      = {2023},
  abstract  = {Faced with the triad of time-cost-quality, the realization of production tasks under economic conditions is not trivial. Since the number of Artificial-Intelligence-(AI)-based applications in business processes is increasing more and more nowadays, the efficient design of AI cases for production processes as well as their target-oriented improvement is essential, so that production outcomes satisfy high quality criteria and economic requirements. Both challenge production management and data scientists, aiming to assign ideal manifestations of artificial neural networks (ANNs) to a certain task. Faced with new attempts of ANN-based production process improvements [8], this paper continues research about the optimal creation, provision and utilization of ANNs. Moreover, it presents a mechanism for AI case-based reasoning for ANNs. Experiments clarify continuously improving ANN knowledge bases by this mechanism empirically. Its proof-of-concept is demonstrated by the example of four production simulation scenarios, which cover the most relevant use cases and will be the basis for examining AI cases on a quantitative level.},
  language  = {en}
}
@incollection{ThimGronauHaaseetal.2023,
  author    = {Thim, Christof and Gronau, Norbert and Haase, Jennifer and Grum, Marcus and Sch{\"u}ffler, Arnulf and Roling, Wiebke and Kluge, Annette},
  title     = {Modeling change in business processes},
  series = {Business modeling and software design},
  booktitle = {Business modeling and software design},
  editor    = {Shishkov, Boris},
  publisher = {Springer Nature},
  address   = {Cham},
  isbn      = {978-3-031-36756-4},
  doi       = {10.1007/978-3-031-36757-1_1},
  pages     = {3 -- 17},
  year      = {2023},
  abstract  = {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.},
  language  = {en}
}
@incollection{ThimGrumSchueffleretal.2021,
  author    = {Thim, Christof and Grum, Marcus and Sch{\"u}ffler, Arnulf and Roling, Wiebke and Kluge, Annette and Gronau, Norbert},
  title     = {A concept for a distributed Interchangeable knowledge base in CPPS},
  series = {Towards sustainable customization: cridging smart products and manufacturing systems},
  booktitle = {Towards sustainable customization: cridging smart products and manufacturing systems},
  editor    = {Andersen, Ann-Louise and Andersen, Rasmus and Brunoe, Thomas Ditlev and Larsen, Maria Stoettrup Schioenning and Nielsen, Kjeld and Napoleone, Alessia and Kjeldgaard, Stefan},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-90699-3},
  doi       = {10.1007/978-3-030-90700-6_35},
  pages     = {314 -- 321},
  year      = {2021},
  abstract  = {As AI technology is increasingly used in production systems, different approaches have emerged from highly decentralized small-scale AI at the edge level to centralized, cloud-based services used for higher-order optimizations. Each direction has disadvantages ranging from the lack of computational power at the edge level to the reliance on stable network connections with the centralized approach. Thus, a hybrid approach with centralized and decentralized components that possess specific abilities and interact is preferred. However, the distribution of AI capabilities leads to problems in self-adapting learning systems, as knowledgebases can diverge when no central coordination is present. Edge components will specialize in distinctive patterns (overlearn), which hampers their adaptability for different cases. Therefore, this paper aims to present a concept for a distributed interchangeable knowledge base in CPPS. The approach is based on various AI components and concepts for each participating node. A service-oriented infrastructure allows a decentralized, loosely coupled architecture of the CPPS. By exchanging knowledge bases between nodes, the overall system should become more adaptive, as each node can "forget" their present specialization.},
  language  = {en}
}
@article{SchuefflerThimHaaseetal.2019,
  author    = {Sch{\"u}ffler, Arnulf and Thim, Christof and Haase, Jennifer and Gronau, Norbert and Kluge, Annette},
  title     = {Information processing in work environment 4.0 and the beneficial impact of intentional forgetting on change management},
  series = {Zeitschrift f{\"u}r Arbeits- und Organisationspsychologie : german journal of work and organizational psychology},
  volume    = {64},
  journal   = {Zeitschrift f{\"u}r Arbeits- und Organisationspsychologie : german journal of work and organizational psychology},
  number    = {1},
  publisher = {Hogrefe},
  address   = {G{\"o}ttingen},
  issn      = {0932-4089},
  doi       = {10.1026/0932-4089/a000307},
  pages     = {17 -- 29},
  year      = {2019},
  abstract  = {Industry 4.0, based on increasingly progressive digitalization, is a global phenomenon that affects every part of our work. The Internet of Things (IoT) is pushing the process of automation, culminating in the total autonomy of cyber-physical systems. This process is accompanied by a massive amount of data, information, and new dimensions of flexibility. As the amount of available data increases, their specific timeliness decreases. Mastering Industry 4.0 requires humans to master the new dimensions of information and to adapt to relevant ongoing changes. Intentional forgetting can make a difference in this context, as it discards nonprevailing information and actions in favor of prevailing ones. Intentional forgetting is the basis of any adaptation to change, as it ensures that nonprevailing memory items are not retrieved while prevailing ones are retained. This study presents a novel experimental approach that was introduced in a learning factory (the Research and Application Center Industry 4.0) to investigate intentional forgetting as it applies to production routines. In the first experiment (N = 18), in which the participants collectively performed 3046 routine related actions (t1 = 1402, t2 = 1644), the results showed that highly proceduralized actions were more difficult to forget than actions that were less well-learned. Additionally, we found that the quality of cues that trigger the execution of routine actions had no effect on the extent of intentional forgetting.},
  language  = {en}
}
@inproceedings{HaaseMatthiesenSchueffleretal.2020,
  author    = {Haase, Jennifer and Matthiesen, Julia and Sch{\"u}ffler, Arnulf and Kluge, Annette},
  title     = {Retentivity beats prior knowledge as predictor for the acquisition and adaptation of new production processes},
  series = {Proceedings of the 53rd Hawaii International Conference on System Sciences},
  volume    = {53},
  booktitle = {Proceedings of the 53rd Hawaii International Conference on System Sciences},
  publisher = {Western Periodicals Co.},
  address   = {North Hollywood, Calif.},
  doi       = {10125/64331},
  pages     = {4797 -- 4805},
  year      = {2020},
  abstract  = {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.},
  language  = {en}
}
@misc{KlugeGronau2018,
  author    = {Kluge, Annette and Gronau, Norbert},
  title     = {Intentional forgetting in organizations},
  series = {Frontiers in psychology},
  volume    = {9},
  journal   = {Frontiers in psychology},
  publisher = {Frontiers Research Foundation},
  address   = {Lausanne},
  issn      = {1664-1078},
  doi       = {10.3389/fpsyg.2018.00051},
  pages     = {17},
  year      = {2018},
  abstract  = {To cope with the already large, and ever increasing, amount of information stored in organizational memory, "forgetting," as an important human memory process, might be transferred to the organizational context. Especially in intentionally planned change processes (e.g., change management), forgetting is an important precondition to impede the recall of obsolete routines and adapt to new strategic objectives accompanied by new organizational routines. We first comprehensively review the literature on the need for organizational forgetting and particularly on accidental vs. intentional forgetting. We discuss the current state of the art of theory and empirical evidence on forgetting from cognitive psychology in order to infer mechanisms applicable to the organizational context. In this respect, we emphasize retrieval theories and the relevance of retrieval cues important for forgetting. Subsequently, we transfer the empirical evidence that the elimination of retrieval cues leads to faster forgetting to the forgetting of organizational routines, as routines are part of organizational memory. We then propose a classification of cues (context, sensory, business process-related cues) that are relevant in the forgetting of routines, and discuss a meta-cue called the "situational strength" cue, which is relevant if cues of an old and a new routine are present simultaneously. Based on the classification as business process-related cues (information, team, task, object cues), we propose mechanisms to accelerate forgetting by eliminating specific cues based on the empirical and theoretical state of the art. We conclude that in intentional organizational change processes, the elimination of cues to accelerate forgetting should be used in change management practices.},
  language  = {en}
}
@article{SchuefflerThimHaaseetal.2019,
  author    = {Sch{\"u}ffler, Arnulf and Thim, Christof and Haase, Jennifer and Gronau, Norbert and Kluge, Annette},
  title     = {Willentliches Vergessen},
  series = {Gruppe. Interaktion. Organisation. Zeitschrift f{\"u}r Angewandte Organisationspsychologie (GIO)},
  volume    = {50},
  journal   = {Gruppe. Interaktion. Organisation. Zeitschrift f{\"u}r Angewandte Organisationspsychologie (GIO)},
  number    = {2},
  publisher = {Springer},
  address   = {Wiesbaden},
  issn      = {2366-6145},
  doi       = {10.1007/s11612-019-00466-0},
  pages     = {197 -- 209},
  year      = {2019},
  abstract  = {Dieser Beitrag im Journal Gruppe. Interaktion. Organisation. stellt dar, wie willentliches Vergessen die Anpassung an notwendige Ver{\"a}nderungen f{\"u}r Individuen, Gruppen und Organisationen verbessert und wie willentliches Vergessen bewusst und gezielt gestaltet werden kann. Damit Verhalten in Folge einer notwendigen Ver{\"a}nderung angepasst wird, reicht es nicht aus, dass Menschen wissen was zu tun ist, willens und in der Lage sind ihr Verhalten zu ver{\"a}ndern. Eine Ver{\"a}nderung 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 ausl{\"o}sen, gestaltbar. Der vorliegende Beitrag stellt die f{\"o}rderliche Wirkung von Hinweisreizen auf willentliches Vergessen dar, stellt sie im Rahmen des Berichts einer experimentellen Studie unter Beweis und gibt praktische Implikationen, wie f{\"u}r Individuen, Gruppen und Organisationen willentliches Vergessen gestaltet werden kann.},
  language  = {de}
}
@misc{KlugeGronau2018,
  author    = {Kluge, Annette and Gronau, Norbert},
  title     = {Intentional forgetting in organizations},
  series = {Postprints der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe},
  number    = {127},
  issn      = {1867-5808},
  doi       = {10.25932/publishup-44602},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-446022},
  pages     = {19},
  year      = {2018},
  abstract  = {To cope with the already large, and ever increasing, amount of information stored in organizational memory, "forgetting," as an important human memory process, might be transferred to the organizational context. Especially in intentionally planned change processes (e.g., change management), forgetting is an important precondition to impede the recall of obsolete routines and adapt to new strategic objectives accompanied by new organizational routines. We first comprehensively review the literature on the need for organizational forgetting and particularly on accidental vs. intentional forgetting. We discuss the current state of the art of theory and empirical evidence on forgetting from cognitive psychology in order to infer mechanisms applicable to the organizational context. In this respect, we emphasize retrieval theories and the relevance of retrieval cues important for forgetting. Subsequently, we transfer the empirical evidence that the elimination of retrieval cues leads to faster forgetting to the forgetting of organizational routines, as routines are part of organizational memory. We then propose a classification of cues (context, sensory, business process-related cues) that are relevant in the forgetting of routines, and discuss a meta-cue called the "situational strength" cue, which is relevant if cues of an old and a new routine are present simultaneously. Based on the classification as business process-related cues (information, team, task, object cues), we propose mechanisms to accelerate forgetting by eliminating specific cues based on the empirical and theoretical state of the art. We conclude that in intentional organizational change processes, the elimination of cues to accelerate forgetting should be used in change management practices.},
  language  = {en}
}