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检索条件"丛书名=Lecture Notes in Business Information Processing"

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Knowledge Management Significance in Agile Organization in Lights of COVID-19 Pandemic Changes 18th

Knowledge Management Significance in Agile Organization in L...

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18th European, Mediterranean, and Middle Eastern Conference on information Systems (EMCIS)

作者： Morawiec, Patryk Soltysik-Piorunkiewicz, Anna Univ Econ Katowice 1 Maja 50 PL-40287 Katowice Poland

ISBN: (纸本)9783030959470;9783030959463

The paper discuss how organizational agility can affect the knowledge management processes in organization, especially in case of ongoing COVID-19 pandemics changes. The research problems are to show a link between knowledge management and agility in organization and to examine a COVID-19 pandemics impact on both knowledge management in organization and organizational agility. We carefully examined a literature from knowledge management-related, recognized scientific journals. We searched journal articles from 1994-2021 and divided the results into 3 time periods to show the historic view on knowledge management in agility, the current view in 2015-2019 and latest time period (2020-2021) to show the impact of COVID-19 pandemics on knowledge management and organizational agility. The study shows the relation of knowledge management and organizational agility with some diversity of research scopes related with COVID-19 pandemics. The insights of our research may be useful for organizations in transforming their knowledge management processes in dynamically changing environment.

关键词： Organizational agility Knowledge management Knowledge processes COVID-19

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Patterns for Using Fractal Enterprise Modelling in Operational Decision-Making 23rd

Patterns for Using Fractal Enterprise Modelling in Operation...

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23rd International Conference on Enterprise information Systems (ICEIS)

作者： Klyukina, Victoria Bider, Ilia Perjons, Erik Stockholm Univ DSV Stockholm Sweden Univ Tartu ICS Tartu Estonia

ISBN: (纸本)9783031089657;9783031089640

A pattern is a concept widely used in engineering and other disciplines for variety of purpose, e.g. business or system analysis. In this work, we present the concept of patterns usage within enterprise modelling. The undertaking is a part of the larger case study dedicated to Fractal Enterprise Modelling (FEM) development deploying Design Science (DS) research methodology. Based on the case study, we have identified three FEM related patterns: one modelling pattern and two analyzing patterns. A modeling pattern advises on a proper way of building a model for a particular purpose, while an analysis pattern helps to find places in a business where a decision could/should be made. More precisely, the modelling pattern identified in this study helps to build a model on an appropriate level of granularity for a certain purpose (operational decision-making). The analysis patterns identified in the study are divided into two categories of patterns: transformational patterns and problem patterns. Transformational pattern is a pattern that contains a condition and an action parts that represent a standardized solution or an opportunity. Problem pattern is a pattern that expresses conditions where a problem might existwithout specifying a definite action. These patterns contribute into the creation of the bank of patterns to guide practitioners in modelling and analyzes of the business situations using FEM.

关键词： Decision-making Enterprise modelling Fractal Enterprise Modelling FEM

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Event Log Sampling for Predictive Monitoring 1

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3rd International Conference on Process Mining (ICPM)

作者： Sani, Mohammadreza Fani Vazifehdoostirani, Mozhgan Park, Gyunam Pegoraro, Marco van Zelst, Sebastiaan J. van der Aalst, Wil M. P. Rhein Westfal TH Aachen Proc & Data Sci Chair Aachen Germany Eindhoven Univ Technol Ind Engn & Innovat Sci Eindhoven Netherlands Fraunhofer FIT St Augustin Germany

ISBN: (数字)9783030985813

ISBN: (纸本)9783030985813;9783030985806

Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such predictions are of significant interest to the process stakeholders. However, state-of-the-art methods for predictive monitoring require the training of complex machine learning models, which is often inefficient. This paper proposes an instance selection procedure that allows sampling training process instances for prediction models. We show that our sampling method allows for a significant increase of training speed for next activity prediction methods while maintaining reliable levels of prediction accuracy.

关键词： Process Mining Predictive Monitoring Sampling Machine Learning Deep Learning Instance Selection

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Work Engagement in Agile Teams: The Missing Link Between Team Autonomy, Trust, and Performance? 23rd

Work Engagement in Agile Teams: The Missing Link Between Tea...

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23rd International Conference on Agile Software Development (XP)

作者： Buvik, Marte Pettersen Tkalich, Anastasiia SINTEF Digital Trondheim Norway

ISBN: (纸本)9783031081699;9783031081682

To have engaged and high-performing agile teams are what most organizations strive for. At the same time, there is little research on the drivers of team work engagement in the software context. Team autonomy and trust are crucial for agile teams and are suggested as potential boosters of team work engagement and performance. In this study, we apply the Job Demands-Resources model to examine the role of autonomy and trust and their impact on work engagement and team performance in agile teams. We analyze quantitative survey data from 236 team members in 43 agile teams to examine how team autonomy and trust relate to team work engagement and how engagement mediates the relationship between these factors and performance. Our results show that while both autonomy and trust are positively related to team work engagement, team trust plays a more critical role than team autonomy. Teams with high team trust showed higher engagement, which enhanced team performance. Our results highlight the importance of social factors such as trust in creating conditions for high performance in agile teams through its effect on team work engagement.

关键词： Agile teams Team performance Trust Team autonomy Work engagement Job demands-resource model

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Blockchain Application in Luxury Brand Strategy: What Does Blockchain Technology Mean to Luxury Brands? 18th

Blockchain Application in Luxury Brand Strategy: What Does B...

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18th European, Mediterranean, and Middle Eastern Conference on information Systems (EMCIS)

作者： Shih, Pei-Hsiu Bick, Markus Murawski, Matthias ESCP Business Sch Heubnerweg 8-10 D-14059 Berlin Germany

ISBN: (纸本)9783030959470;9783030959463

Many applications, across an array of different industries, access blockchain technology. This paper focuses on the luxury industry and explores how these blockchain-based applications add value. The study incorporates the findings of a Delphi study of luxury sector professionals. Eleven luxury brand core values were identified and validated, and six blockchain application areas along the customer journey were refined for the industry by panelists. The results show that the product authenticity or certification application meets the most important core values for luxury brands, especially in thriving online marketplaces and secondary markets. Responsibility, i.e. the value ranked lowest by the panelists, entails huge demands from the market, namely in the form of corporate social responsibility and sustainability. The study provides the luxury sector with valuations of technology applications according to added value, customer journey phases and concrete use cases as examples. The contribution of the study is that it provides indicators for luxury business strategies when considering taking part in the blockchain networks.

关键词： Blockchain application Luxury brands Strategy

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The Adoption of Cloud Computing in South Africa's Oil and Gas Industry 18th

The Adoption of Cloud Computing in South Africa's Oil and Ga...

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18th European, Mediterranean, and Middle Eastern Conference on information Systems (EMCIS)

作者： Jamalodeen, Shaheen Van Belle, Jean-Paul Univ Cape Town Cape Town South Africa

ISBN: (纸本)9783030959470;9783030959463

Cloud computing has become an increasingly attractive option for oil and gas organizations looking to reduce costs while increasing operational excellence. The cloud is not only a tool for faster computing power and higher performance, but also as an instrument to faster application deployment, lower service costs and a step towards digital transformation. This study aimed to determine the level of cloud computing adoption within selected organizations within the oil and gas industry in South Africa. The study also attempted to understand the factors that influence this adoption and how SA oil and gas companies are utilizing cloud technologies, as well as the factors that influence the presumed lack of adoption. This research was guided by the Technology, Organization, and Environment (TOE) framework and used a qualitatively approach, based on semi-structured interviews from seven participants, from four oil and gas companies in SA. The findings of this research show a high level of awareness but low level of adoption of cloud computing. The factors that were found to have a positive and significant influence on the intention to adopt cloud computing included security, relative advantage, compatibility, top management support, vendor support and competition. The factors that were found to be a risk or challenge towards the adoption of cloud computing included complexity, government regulations, organizational readiness, bandwidth, trust and vendor lock-in.

关键词： Cloud computing Oil & Gas industry South Africa TOE framework Cloud computing benefits Cloud computer risks

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Use of EA Models in Organizational AI Solution Development 11th

Use of EA Models in Organizational AI Solution Development

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11th Enterprise Engineering Working Conference (EEWC)

作者： Sandkuhl, Kurt Rittelmeyer, Jack Daniel Univ Rostock Inst Comp Sci Rostock Germany Jonkoping Univ Sch Engn Jonkoping Sweden

ISBN: (纸本)9783031115202;9783031115196

Digital transformation in combination with service ecosystems exploit and incorporate innovative technologies, such as artificial intelligence, Internet of things or data analytics. For most enterprises, new digital business models and participation in service eco-systems lead to severe changes of the enterprise architecture (EA) and the need for methodical support to systematically perform the resulting change process. The focus of this paper is on the implementation of AI applications in organizations. Based on the analysis of industrial case studies, our observation is that different kinds of AI applications require different prerequisites in an organizational IT landscape, some of which can be found in an EA model, and some enterprises intend to use AI but are not prepared for it. The work investigates, what information can be harvested from EA models to support requirements engineering and the evaluation of organizational readiness for AI planning and implementation. The main contributions of our work are (a) an enhanced and updated literature analysis on EA use for AI introduction, (b) an analysis of differences in requirements of different kinds of AI applications, and (c) an improved AI context analysis method prepared for addressing these differences. The improved method exploits insights gained in our work on what information regarding the requirements can be extracted from EA models.

关键词： Enterprise architecture AI context Organizational AI solutions Artificial intelligence AI requirements engineering

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The Continued Innovation-Decision Process - A Case Study of Continued Adoption of Robotic Process Automation 18th

The Continued Innovation-Decision Process - A Case Study of ...

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18th European, Mediterranean, and Middle Eastern Conference on information Systems (EMCIS)

作者： Sarilo-Kankaanranta, Henriika Frank, Lauri Univ Jyvaskyla Jyvaskyla Finland

ISBN: (纸本)9783030959470;9783030959463

Robotic Process Automation (RPA) originally entered the field of information systems as one of those disruptive innovations that will, among other automation solutions, have a profound effect on job descriptions and work itself in near future. One of the sectors that will be revolutionized - and are in fact already changing - are financial and human resource (HR) services, such as accounting, billing, and payroll services. According to statistics, Finnish companies operating on the administrative and support services sector make little use of service robots. Companies that have initially adopted the technology do not necessary reach its full potential. We explore what factors create challenges for the continued adoption of robotic process automation by investigating two companies and using interpretive case study as our research method. The two companies are service centers. They operate on the public sector in Finland and provide financial and HR services for their owner-clients. The findings of this study include insights into the key factors that affect continued adoption of RPA, and these point towards an expanded model of Innovation-Decision Process where iterations of a new decision are triggered by new ideas on how to use the innovation.

关键词： Robotic Process Automation Technology adoption Diffusion of Innovations Adoption continuance information systems

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business Driven Microservice Design An Enterprise Ontology Based Approach to API Specifications 11th

Business Driven Microservice Design An Enterprise Ontology B...

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11th Enterprise Engineering Working Conference (EEWC)

作者： Krouwel, Marien R. Land, Martin Op' t Capgemini Netherlands POB 2575 NL-3500 GN Utrecht Netherlands Radboud Univ Nijmegen Comeniuslaan 4 NL-6525 HP Nijmegen Netherlands Antwerp Management Sch Boogkeers 5 B-2000 Antwerp Belgium

ISBN: (纸本)9783031115202;9783031115196

As technology is evolving rapidly and market demand is changing quicker than ever, many are trying to implement service orientation and adopt market standards to improve adaptivity. A microservice architecture makes applications easier to scale and faster to develop, enabling innovation and accelerating time-to-market for new features. The question then arises how to design a manageable and stable set of microservices that is sufficient for the business. In this paper we systematically deduce an algorithm to derive a set of microservices, expressed according to the OpenAPI standard, from the ontological model of an enterprise, that is stable by nature, sufficient for the business, and based on units of clear size. This algorithm has the DEMO operating cycle at its heart and has been evaluated with the real-life Social Housing case at ICTU by creating a SwaggerHub implementation. Further research should clarify the role of implementation choices in the algorithm.

关键词： Enterprise Engineering DEMO Microservices API

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Advantages and Limitations of Experiments for Researching Participatory Enterprise Modeling and Recommendations for Their Implementation 15th

Advantages and Limitations of Experiments for Researching Pa...

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15th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM)

作者： Gutschmidt, Anne Univ Rostock D-18059 Rostock Germany

ISBN: (纸本)9783031214875;9783031214882

Participatory enterprise modeling (PEM) means that stakeholders become directly involved in the process of creating enterprise models. Based on their different perspectives, they discuss and exchange knowledge and ideas in joint meetings and, with the support of modeling experts, they collaboratively create the models. Although there is a lot of empirical and theoretical work on group work and collaboration that we can build on, there are still many aspects of PEM that we should research. The participatory approach is claimed to lead to higher model quality and commitment, empirical evidence is, however, still scarce. Moreover, there are many factors that might influence productivity and the outcome of participatory modeling projects, such as facilitation methods or the tools used for modeling. In this paper, I will discuss the special value, but also methodical challenges and limitations of experimental studies on PEM compared to surveys and case studies. I will give methodical recommendations on how to design and implement experiments on PEM and discuss how they can eventually add to case studies carried out in companies.

关键词： Participatory enterprise modeling Experiment Research methods Empirical studies

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