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

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Discovery Rules for Depicting Tacit Knowledge Usage and Management in Fractal Enterprise Models 23rd

Discovery Rules for Depicting Tacit Knowledge Usage and Mana...

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23rd International Conference on Perspectives in business Informatics Research (BIR)

作者： Bider, Ilia Perjons, Erik Stockholm Univ Borgarfjordsgatan 12 S-16455 Stockholm Sweden Univ Tartu Ulikooli 18 EE-50090 Tartu Estonia

ISBN: (纸本)9783031713323;9783031713330

The paper introduces rules to help identify and depict in a model enterprise activities that engage tacit knowledge. This is done using a specific enterprise modeling technique called Fractal Enterprise Model (FEM). However, the result can be of interest to researchers and practitioners using other modeling techniques. Though representing tacit knowledge is more or less mandatory for research and practice of Knowledge Management (KM), it is very seldom depicted explicitly in enterprise models of any kind. The type of rules presented in this paper follows our suggestion to consider the so-called discovery power of enterprise modeling languages alongside its expressive power.

关键词： tacit knowledge discovery power enterprise model knowledge management Fractal Enterprise Model FEM

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Benefits, Challenges, and Implications of Open-Source Software for Health-Tech Startups: An Empirical Study 14th

Benefits, Challenges, and Implications of Open-Source Softwa...

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14th International Conference on Software business (ICSOB)

作者： Ahmad, Noman Tripathi, Nirnaya Univ Oulu M3S Res Unit Oulu Finland

ISBN: (纸本)9783031532269;9783031532276

Health-tech startups are essential, as they provide cutting-edge solutions to numerous healthcare concerns in the rapidly evolving healthcare industry. They use various technologies to create solutions that boost and advance healthcare systems and healthcare delivery. Open-source software (OSS) technology has become an essential component of startups' toolkits, providing various advantages, such as free access to source codes and opportunities for innovation. Research on OSS in healthcare startups is limited, so our study aims to investigate how healthtech startups perceive the influence of OSS on product development and to identify the challenges they face. To meet this objective, we conducted an empirical study with six health-tech startups, using semi-structured interviews. Thematic analysiswas performed on the collected data to identify common themes and subthemes related to the research objective. The findings showed that health-tech startups benefit from the cost efficiency, scalability, and customization of OSS. Open-source software tools, reshape development and promote efficient code management, provide community support, and reduce costs. However, they demand OSS knowledge, management of updates, regulatory compliance, and heightened cybersecurity. Our study adds to the body of knowledge on OSS and healthcare startups and the connection between them. We provide recommendations for health-tech startups, such as embracing OSS tools for their benefits, investing in education and training, and engaging with the OSS community for comprehensive support in their product development processes.

关键词： startups health-tech startups open-source software product development empirical study medical startups

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An Object-Centric Approach to Handling Concurrency in IoT-Aware Processes

An Object-Centric Approach to Handling Concurrency in IoT-Aw...

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21st International Conference on business Process Management (BPM)

作者： Gallik, Florian Kirikkayis, Yusuf Seiger, Ronny Reichert, Manfred Ulm Univ Inst Databases & Informat Syst Ulm Germany Univ St Gallen Inst Comp Sci St Gallen Switzerland

ISBN: (纸本)9783031509735;9783031509742

The increasing adoption of IoT in the context of business Process Management (BPM) makes it necessary to efficiently coordinate concurrent processes and activities that involve physical resources. Traditional approaches to handling concurrency in BPM systems are not suitable for automating IoT-aware processes due to novel challenges raised by the IoT. We propose to handle concurrency in IoT based on object-centric processes implemented in the PHILharmonicFlows framework. The framework facilitates the data-driven modeling and coordination of object lifecycles and interactions, which are suitable to address concurrency in IoT-aware processes. The approach is demonstrated in a scenario from smart manufacturing. The results show that PHILharmonicFlows offers a flexible and comprehensible solution for coordinating concurrent activities in IoT settings with constrained physical resources.

关键词： Internet of Things business Process Management Concurrency Object-centric Processes Cyber-physical Systems

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Adaptive Process Log Generation and Analysis with Next(Log) and ***

Adaptive Process Log Generation and Analysis with Next(Log) ...

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Enterprise Design, Operations, and Computing (EDOC) Forum / IDAMS Workshop / SoEA4EE Workshop / IRESEARCH Workshop / MIDas4CS Workshop

作者： Cartwright, Dyllan Sterie, Radu Andrei Ghahderijani, Arash Yadegari Karastoyanova, Dimka Univ Groningen Informat Syst Grp Groningen Netherlands

ISBN: (纸本)9783031547119;9783031547126

In this paper we present a tool for adaptive process log generation and analysis of the correlation between KPI (Key Performance Indicator) values and changes in adaptive processes. The tool features a component called Next(Log) helping users to generate initial business process logs using any preferred method and subsequently allows them to adapt these logs based on their own defined rules while ensuring an intuitive and coherent user interface. The adapted logs are then used for log analysis with the *** component, which employs machine learning techniques to find patterns of matching KPI values and adaptation injections in the logs. The tool therefore supports the research on the challenges imposed by the lack of sufficient amount of data from adaptive process logs and the open issues in identifying at what KPIs values changes are required and what kind of changes would have the best impact on the process performance at run time.

关键词： Runtime process adaptation Adaptive process log generation KPI-to-adaptation correlation Synthetic process event logs

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Investigating Open Innovation Practices to Support Requirements Management in Software Ecosystems 14th

Investigating Open Innovation Practices to Support Requireme...

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14th International Conference on Software business (ICSOB)

作者： Malcher, Paulo Viana, Davi Antonino, Pablo Oliveira dos Santos, Rodrigo Pereira Fed Univ State Rio Janeiro Rio De Janeiro Brazil Fed Rural Univ Amazonia Capitao Poco Brazil Univ Fed Maranhao Sao Luis Maranhao Brazil Fraunhofer Inst Expt Software Engn Kaiserslautern Germany

ISBN: (纸本)9783031532269;9783031532276

Software ecosystems (SECO) affect requirements management when considering multiple actors (i.e., keystone, third-party developer, users) from different organizations using several communication channels such as issue trackers and forums. To deal with this scenario, professionals involved in requirements management in SECO have resorted to several open innovation (OI) practices. Our study aims to investigate OI practices applied to support requirements management in SECO. We conducted a field study based on interviews with 21 professionals involved in requirements management activities in SECO. We identified 10 OI practices to support requirements management in SECO and 14 communication channels to receive/provide requirements from/to external actors. OI practices identified in this study can help practitioners manage requirements in the SECO context in which they are engaged, making this process more informal, open, and collaborative.

关键词： Open innovation Requirements management Software ecosystems Field study

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How Digital Transformation Influences Firm Performance: A Configurational Perspective 23rd

How Digital Transformation Influences Firm Performance: A Co...

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23rd Wuhan International Conference on E-business (WHICEB)

作者： Liang, Yuqin Gong, Yiwei Wuhan Univ Sch Informat Management Wuhan 430072 Peoples R China

ISBN: (纸本)9783031602597;9783031602603

In the new era of the digital economy, traditional manufacturing firms are stepping up their digital transformation to remain competitive. Digital transformation might impact firm performance, resulting in a need to investigate the complex relationships between firm performance and various conditions in digital transformation. Based on resource orchestration theory (ROT), this study provided a configurational analysis of the multiple paths of organizational capability (i.e., innovation capability), organizational resources (i.e., relational resources and regional resources), and organizational characteristics (i.e., firm size and digital transformation strategy) to achieve high firm performance using a mix of fuzzy-set Qualitative Comparative Analysis (fsQCA) and Necessary Conditions Analysis (NCA) methodologies. Using data from listed companies in China's manufacturing industry, the findings identify six configurations that generate high firm performance, demonstrating the diversity in the mechanisms achieving high firm performance in Chinese-listed manufacturing firms, which can guide the implementation of digital transformation in the manufacturing industry.

关键词： Digital transformation Firm performance Fuzzy-set Qualitative Comparative Analysis (fsQCA) Necessary Condition Analysis (NCA)

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The Impact of Enterprise Digital Transformation on Customer Service Innovation Performance 1

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23rd Wuhan International Conference on E-business (WHICEB)

作者： Su, Minghan Feng, Qi Zhou, Jianming Guangdong Univ Finance & Econ Sch Business Adm Guangzhou 510320 Guangdong Peoples R China

ISBN: (数字)9783031602641

ISBN: (纸本)9783031602634;9783031602641

In the context of the digital economy, the emerging digital technologies have made the digital transformation of enterprises an unavoidable trend to help improving customer service. This paper conducted a sample survey of 139 Chinese companies and used multiple regression equation analysis to try to explore the mechanism between enterprise digital transformation and customer service innovation performance. The research results showed that: (1) Enterprise digital transformation had a significant direct positive impact on customer service innovation performance;(2) Enterprise cross-border activities played a partial mediating role in the process of enterprise digital transformation affecting customer service innovation performance;(3) Both proactive market orientation and reactive market orientation positively moderated the positive relationship between enterprise digital transformation and enterprise cross-border activities. That is, the higher the enterprise's proactive market orientation and reactive market orientation, the stronger the impact of enterprise digital transformation on enterprise cross-border activities. The above research results have important theoretical and practical significance for understanding the complex relationship between enterprise digital transformation and customer service innovation, and for improving the enterprise's ability to serve customers.

关键词： Enterprise Digital Transformation Cross-border Activities Market Orientation Customer Service Innovation Performance

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DDIs-Graph: an Approach to Identify Drug-Drug Interactions and Recommend Alternative Drugs 23rd

DDIs-Graph: an Approach to Identify Drug-Drug Interactions a...

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23rd International Conference on Perspectives in business Informatics Research (BIR)

作者： Jalali, Amin Johannesson, Paul Perjons, Erik Stockholm Univ Dept Comp & Syst Sci Stockholm Sweden

ISBN: (纸本)9783031713323;9783031713330

Drug-drug interactions (DDIs) pose significant risks to patients, ranging from adverse effects to fatal outcomes. Preventing these issues depends on providing caregivers with timely information on DDIs and offering viable alternative options. Currently, there is a gap in the formal specifications of systems designed to alert caregivers about potential DDIs. This gap hinders the development of further support, such as algorithms that can recommend alternative drugs. This study adopts the Design Science approach, defining a formal knowledge graph to capture DDIs. Then, algorithms are defined to identify drug interactions and suggest alternative medications with less severe consequences. As a proof of concept, we implemented our approach using Neo4j and Python, transforming data from the Swedish DDIs database. The implementation was applied to real care session data in the healthcare region of Stockholm for a randomly selected day, focusing on instances where caregivers prescribed drugs with severe DDIs. Validation occurred through expert interviews, discussing the correctness and utility of the approach. Results indicate that our graph-based model effectively supports the development of systems that alert caregivers to potential DDIs and recommend alternative drugs with reduced interactions. To the best of our knowledge, this paper introduces the first graph-based model serving as a blueprint for developing DDI systems. This model enables systems to i) warn caregivers about the presence of DDIs in prescribed drugs and ii) assess the availability of alternative drugs with less severe interactions, providing recommendations.

关键词： knowledge graphs recommendation systems drug-drug interactions

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Roles of Natural Language Generation for Requirements Engineering 14th

Roles of Natural Language Generation for Requirements Engine...

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14th International Symposium on business Modeling and Software Design (BMSD)

作者： de Brock, Bert Univ Groningen Fac Econ & Business POB 800 NL-9700 AV Groningen Netherlands

ISBN: (纸本)9783031640728;9783031640735

Context: In Requirements Engineering, communication problems are ubiquitous. Many users and user organizations cannot fully understand the artefacts which developers produce (such as domain models, (conceptual) schemas, data models, class diagrams, (system) sequence diagrams, other UML diagrams, etc.). We try to solve challenges that customers and practitioners face when dealing with requirements that are not expressed in Natural Language (NL). Research questions: How could such artefacts be explained to and validated by the user organization in a systematic and user-understandable way? Main idea: Well, users are of course supposed to understand their own native natural language. So, you might try to translate those artefacts to their own natural language in a systematicway. But underwhich conditions andwhat are the general mechanisms behind this, both for static and for dynamic aspects? With a clear and complete set of construction rules or even a grammar for your artefacts, you can (try to) construct practical translations to the targetNL by systematically following those construction rules. This is independent of a particular development lifecycle within which the artefacts were produced. Contribution: In the paper, we make these general mechanisms behind such NL generation explicit and mention the conditions under which these ideas can be applied. We illustrate the applicability and feasibility of the general theory for Conceptual DataModels (statics-based), using construction rules, and for System Sequence Descriptions (dynamics-based), using syntax-directed translations. We also establish the (easy) readability of the results.

关键词： Requirements Engineering Natural Language Generation Generation Mechanisms Statics Dynamics Conceptual Data Model Use Cases Validation Explanation Documentation

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Does Overconfident CEO Matter? An Empirical Examination of CEO Overconfidence and Digital Transformation 1

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23rd Wuhan International Conference on E-business (WHICEB)

作者： Zhang, Yanlin Zhang, Xuwei Tang, Hongting Guangdong Univ Technol Guangzhou 510520 Guangdong Peoples R China

ISBN: (数字)9783031602603

ISBN: (纸本)9783031602597;9783031602603

Although previous studies have emphasized the importance of CEO in IT performance, there is little literature exploring how CEO overconfidence affects digital transformation. We propose a research model that suggests that CEO over confidence can positively impact digital transformation. In addition, we identified three moderating factors that can enhance the positive relationship between CEO overconfidence and digital transformation: the presence of Chief information Officer (CIO), the board of directors with IT expertise, and industry competitiveness. By using the panel data of Chinese listed companies from 2011-2021 to test our model, the results will support our research hypothesis. This article expands the relevant research on CEO overconfidence and further reveals how the psychological factors of CEOs affect IT-related activities in enterprises by discovering the positive relationship between CEO overconfidence and digital transformation, as well as the moderating mechanisms that influence CEO overconfidence. Our analysis results also provide theoretical guidance and practical inspiration for CEOs and businesses on how to successfully achieve digital transformation.

关键词： CEO overconfidence digital transformation CIO board of directors industry competitiveness

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