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检索条件"丛书名=Lecture Notes in Business Information Processing 256"

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EA ModelSet - A FAIR Dataset for Machine Learning in Enterprise Modeling 16th

EA ModelSet - A FAIR Dataset for Machine Learning in Enterpr...

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16th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM) - Enterprise Modeling in the Circular Economy

作者： Glaser, Philipp-Lorenz Sallinger, Emanuel Bork, Dominik TU Wien Business Informat Grp Vienna Austria TU Wien Database & Artificial Intelligence Grp Vienna Austria

ISBN: (纸本)9783031485824;9783031485831

The conceptual modeling community and its subdivisions of enterprise modeling are increasingly investigating the potentials of applying artificial intelligence, in particularmachine learning (ML), to tasks like model creation, model analysis, and model processing. A prerequisiteand currently a limiting factor for the community-to conduct research involving ML is the scarcity of openly available models of adequate quality and quantity. With the paper at hand, we aim to tackle this limitation by introducing an EA ModelSet, i.e., a curated and FAIR repository of enterprise architecture models that can be used by the community. We report on our efforts in building this data set and elaborate on the possibilities of conducting ML-based modeling research with it. We hope this paper sparks a community effort toward the development of a FAIR, large model set that enables ML research with conceptual models.

关键词： Enterprise modeling Machine learning FAIR Enterprise architecture Data set

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How Do Token Rewards Motivate User-Generated Content? Token Price Volatility and Peer Contribution Moderate the Effects of Token Rewards 23rd

How Do Token Rewards Motivate User-Generated Content? Token ...

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

作者： Tang, Hongting Yao, Jiachuan Zhang, Yanlin Guangdong Univ Technol Sch Management Guangzhou 510520 Guangdong Peoples R China

ISBN: (纸本)9783031602634;9783031602641

This article elucidates the role of token rewards in influencing user contributions, proposing that token rewards can engender incentivizing effects on user contributions. Furthermore, it delves into the moderating effects of token price volatility and peer contribution on the relationship between token rewards and user contributions. Empirical research utilizing real data from Steemit is employed in this study. The results indicate that token rewards positively impact both the quantity and quality of user-generated content. Moreover, token price volatility positively/negatively moderates the positive effects of token rewards on the quantity/quality of user-generated content. Peer contribution negatively moderates the incentivizing effects of token rewards on user contributions. This article expands our understanding of blockchain-based online communities and provides management insights for such communities.

关键词： User-generated content Blockchain Token rewards Price volatility Peer contribution

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Using the business Motivation Model as an Organising Principle to Clarify Public Policy 16th

Using the Business Motivation Model as an Organising Princip...

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16th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM) - Enterprise Modeling in the Circular Economy

作者： Zhemchugova, Helena Stock, Friederike Madala, Lutho Stockholm Univ Borgarfjordsgatan 12 S-16407 Kista Sweden

ISBN: (纸本)9783031485824;9783031485831

Public policies use constructive ambiguity as a linguistic and diplomatic tool to manage the conflicting views of stakeholders and facilitate policy implementation in the presence of tensions. However, the ambiguity of policy content is a knowledge problem. It can lead to misunderstandings of its ends and means and may result in failed mitigation measures for societal crises. The business Motivation Model (BMM) combined with the UML attribute elements can solve this problem by structurally decomposing the policy content into a BMM representation. This representation is an epistemic artefact that generates metaknowledge about the policy by clarifying its intentions and conceptual structure, thus decreasing the likelihood of it being misunderstood. We present the case of the Aviation Chapter of the Greenhouse Gas Emissions Trading System (EU ETS), where we clarify its prescriptions for the European Commission (EC), Member States, and aircraft operators using BMM concepts and relationships as deductive coding patterns. The artefact has undergone artificial empirical evaluation by expert opinion (n = 15). Possible use scenarios were discussed with enterprise modellers, climate policy researchers, and aircraft industry experts concerned with EU ETS enforcement, implementation, and auditing. The BMM representation presented advantages over the policy's textual form and improved the aviation industry experts' understanding of the Chapter. Future research could look into increasing the analytical capabilities of the notation to address the needs of policy researchers working with gap analyses and co-development of policy revisions with stakeholders. Other modelling and diagramming tools should be examined to enable model durability and robustness.

关键词： business Motivation Model Policy Content Analysis EU ETS Knowledge Problems Design Science Research

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A Human-Computer Automated Negotiation Model Based on Opponent's Emotion and Familiarity 23rd

A Human-Computer Automated Negotiation Model Based on Oppone...

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

作者： Cao, Mukun Xian, Lei Xiamen Univ Siming South Rd 422 Xiamen 361005 Peoples R China

ISBN: (纸本)9783031602634;9783031602641

In e-commerce transactions, agent-based automated negotiation systems combine the advantages of artificial intelligence and bring great convenience to enterprises. However, few studies in agent-based model have considered the social characteristics of human interactions. In this paper, we propose a model with opponent's emotion and familiarity. Also use a capsule network to predict the type of an opponent based on bidding. We use opponent type, emotion, and familiarity as inputs to the improved TD3 to predict opponent' next round bidding. Through comparative experiments, our proposed model achieves better results in the transaction price, seller's utility, satisfaction, negotiation process and the negotiation rounds.

关键词： Online Transaction Emotion Familiarity Negotiation

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Semiautomatic Design of Ontologies 16th

Semiautomatic Design of Ontologies

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16th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM) - Enterprise Modeling in the Circular Economy

作者： Gruninger, Michael Chow, Amanda Wong, Janette Univ Toronto Toronto ON Canada RBC Toronto ON Canada

ISBN: (纸本)9783031485824;9783031485831

The design of ontologies is a time-consuming and resourceintensive endeavour. Rather than (manually) design the ontology first and then associate it with data, can we (semiautomatically) design the ontology from the data itself? This paper presents a novel approach to the semi-automated design of ontologies that incorporates axiom generation from data models, semantic parsing, and ontology learning from examples and counterexamples via search through an ontology repository.

关键词： ontologies first-order logic ontology design

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Understanding Consumers' Negative Word-of-Mouth Intention in the Aftermath of AI-Based Service Failure Through Attribution Theory 1

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

作者： Tan, Ruibin Li, Yixiao Yang, Shuiqing Yan, Surong Lin, Kang Zhejiang Univ Finance & Econ Sch Informat Management & Artificial Intelligence Hangzhou 310018 Peoples R China

ISBN: (数字)9783031602641

ISBN: (纸本)9783031602634;9783031602641

This article explores the consequences of AI-based service failures on consumers' negative word-of-mouth (NWOM) communication. Utilizing attribution theory, the study investigates how consumers' attributions of failure, including locus, stability, and controllability, influence their NWOM intentions, taking into account their trust in AI-based services. Through eight scenario experiments and questionnaires, the research unveils that internal attributions or attributions to high stability and controllability increase NWOM intention, with controllability having a stronger negative impact. Interactive effects between locus and stability/controllability are observed, mediated by trust in AI-based services. This study contributes to understanding consumer behavior in AI-based service environments, providing theoretical and practical insights for service providers to navigate the impact of AI-based service failures.

关键词： Service Failure Attribution Theory NWOM Trust

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Assigning Declarative Semantics to Some UML Activity Diagrams and BPMN Diagrams 14th

Assigning Declarative Semantics to Some UML Activity Diagram...

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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

Research problem and research questions: There exist several diagram techniques to represent (business) processes, such as Activity Diagrams and BPMN-diagrams. Butwhat is their formal semantics? Dothey have a mathematical declarative semantics? We intend to provide such a semantics. Contribution: We define a mapping from UTIL, a universal textual instruction language template with a formal, declarative semantics, to Activity Diagrams and another mapping from UTIL to BPMN. In this way, we give the generated BPMN and Activity Diagrams a formal, declarative semantics as well. It also provides a basis to study those diagrams and to compare them on a semantic level. It gives an alternative perspective on those diagrams as well.

关键词： Textual Instruction Languages Graphical Instruction Languages Activity Diagrams BPMN Diagrams Declarative Semantics

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How Platform Companies Achieve Value Co-creation: A Dual-Case Study Based on Resource Orchestration Perspective 1

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

作者： Dong, Xueyan Li, Fuying Wang, Tienan Northwestern Polytech Univ Xian 710072 Peoples R China Harbin Inst Technol Harbin 150001 Peoples R China

ISBN: (数字)9783031602603

ISBN: (纸本)9783031602597;9783031602603

With the widespread use of information technology, such as big data and the Internet of Things, traditional companies generally show the strategic direction of platform transformation to create value. However, few studies have explored the challenging issue of how to achieve value co-creation in platform companies. This dual-case study constructs a framework that explores the value co-creation mechanism of platform companies based on the resource orchestration perspective. By dividing platform companies into two categories (organizational-oriented and individual-oriented), this study clarified the resource bases, resource orchestration actions, and advantage results of value co-creation in each type of platform companies. At the same time, we followed the logic of "elements-actions-results". Then two primary paths were advanced respectively trying to outline the realization mechanism of value co-creation in platform companies. This research contributes to revealing the "black box" of how to achieve value co-creation in platform companies theoretically and enriching the interpretation boundary of resource orchestration practically.

关键词： Platform companies Value co-creation Resource orchestration Resource bases Value advantage

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information-Centric Adoption and Use of Standard Compliant DevSecOps for Operational Technology: From Experience to Design Principles 14th

Information-Centric Adoption and Use of Standard Compliant D...

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14th International Conference on Software business (ICSOB)

作者： Haverinen, Henry Paivarinta, Tero Vanska, Jussi Joutsijoki, Henry Cyberismo Oy Saarikonkuja 26 Lempaala 37500 Finland Univ Oulu Fac Informat Technol & Elect Engn M3S Oulu Finland Valmet Automat Oy Lentokentankatu 11 Tampere 33900 Finland Insta Automat Oy Sarankulmankatu 20 Tampere 33900 Finland

ISBN: (纸本)9783031532269;9783031532276

Secure and agile development of operational technology (OT) and related software in industry is a crucial but challenging issue. Generally recognized standards such as IEC 62443-4-1 set up the requirements for cybersecurity processes for OT and software development. The main challenge of IEC 62443-4-1 resides in its adoption and implementation in practice, which originates from the standard's complexity. We propose three novel design principles and two subsequent design objectives to be prioritized for future design-research oriented work on standard-compliant DevSecOps. The design principles have been formed after six years of experience and observations in cybersecurity consulting in industry, documented here as a piece of action design research (ADR). As a case study, we describe instantiation of the design principles at Valmet Automation Systems, one of the earliest IEC 62443-4-1 -certified companies. The proposed design principles altogether suggest for the information-centric viewon the contextual adoption and use of the IEC 62443-4-1 standard in DevSecOps practices for OT.

关键词： DevSecOps operational technology IEC 62443-4-1 design principle action design research information-centric adoption

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Cryptocurrency Transaction Fraud Detection Based on Imbalanced Classification with Interpretable Analysis 23rd

Cryptocurrency Transaction Fraud Detection Based on Imbalanc...

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

作者： Jiang, Wenlong Yin, Pei Zhu, Wangwei Univ Shanghai Sci & Technol Business Sch Shanghai 200093 Peoples R China Univ Shanghai Sci & Technol Sch Intelligent Emergency Management Shanghai 200093 Peoples R China

ISBN: (纸本)9783031602597;9783031602603

Given the significant distribution disparity between normal and fraudulent transaction data in cryptocurrency samples, as well as the complex high-dimensional nature of transaction data with non-linear relationships, this study introduces an interpretable imbalanced data classification method for detecting cryptocurrency transaction fraud. We address data imbalance using SMOTE over-sampling and data augmentation through contrastive learning. Next, we introduce a Transformer-based deep learning model that learns sample relevance. The model undergoes pre-training with a contrastive loss and fine-tuning through Bayesian optimization to effectively extract high-dimensional, higher-order, and fraud-related features. We employ a SHAP-based interpreter along with attention scores to elucidate the role of various transaction features in fraud detection. Comparative results demonstrate the model's remarkable recall performance in identifying cryptocurrency transaction fraud. Furthermore, it achieves an excellent F1 value, striking a balance between accuracy and recall. Ablation experiments affirm the necessity of the proposed data balancing and pre-training-fine-tuning strategies, highlighting their effectiveness in addressing imbalanced data classification issues. This research not only enriches financial fraud detection but also enhances cryptocurrency transaction security, promotes market development, and contributes to economic stability and social security.

关键词： cryptocurrency fraud detection extremely imbalanced data classification interpretable analysis

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