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

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A Multi-objective Particle Swarm Optimization Framework for Operations Management 23rd

A Multi-objective Particle Swarm Optimization Framework for ...

引用

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

作者： Sengewald, Julian Lackes, Richard Tech Univ Dortmund Otto Hahnstr 12 D-44227 Dortmund Germany

ISBN: (纸本)9783031603266;9783031603242

There is ongoing research on the problem of how to best combine predictive modeling and optimization. This is especially important in operations management, where there are complex business processes to be optimized. We propose a framework based on evolutionary computing with multi-objective particle swarm optimization and on the design of the fitness function according to the business operations to be optimized. By doing so, one can optimize a range of interesting problems using neural networks that would be otherwise hard to handle with classically supervised learning.

关键词： gradient-free optimization multi-objective neural network

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User Behavior Analysis in Online Health Community Based on Inverse Reinforcement Learning 23rd

User Behavior Analysis in Online Health Community Based on I...

引用

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

作者： Zhang, Yaqi Wang, Xi Zuo, Zhiya Fan, Dan Cent Univ Finance & Econ Sch Informat Beijing Peoples R China City Univ Hong Kong Dept Informat Syst Kowloon Tong Hong Kong Peoples R China

ISBN: (纸本)9783031603266;9783031603242

With the rapid development of the Internet, online health communities (OHCs) have gradually become an important platform for the public to seek medical services. User behavior research, an interesting research topic in OHCs, has garnered widespread academic attention in information management. While traditional quantitative and qualitative studies remain foundational, a growing number of scholars have shifted their focus toward harnessing machine learning techniques to delve deeply into OHC user behaviors, aiming to extract actionable insights for community refinement and decision-making. Given the substantial data volume of OHCs, there remains a gap in employing reinforcement learning for relevant studies. This paper embarks on a detailed analysis and predictions of user behaviors in breast cancer OHCs using inverse reinforcement learning. Research findings suggest that users are more likely to initiate new discussions, respond to others, and self-reply after receiving peer replies. Moreover, the rewards obtained through inverse reinforcement learning serve as compelling features for predicting future user behavior. The F1 value of the prediction increased by 13% and 24% in the dataset with time windows of 3 years and 5 years. The findings may contribute to the effective management and sustainable development of OHCs.

关键词： Inverse reinforcement learning Online health community User behavior analysis Churn prediction

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Corporate Startups: A Systematic Literature Review on Governance and Autonomy 14th

Corporate Startups: A Systematic Literature Review on Govern...

引用

14th International Conference on Software business (ICSOB)

作者： Garidis, Konstantin Rossmann, Alexander Murray, Alan Univ West Scotland High St Paisley PA1 2BE Renfrew Scotland Reutlingen Univ Alteburgstr 150 D-72762 Reutlingen Germany

ISBN: (纸本)9783031532269;9783031532276

Many incumbents observe the startup world in jealousy of their agility and innovational performance. An increasing number of initiatives aim to mimic startup-like procedures in order to increase the incumbents' innovational output. Structural models like accelerators, spinoffs, incubators, or corporate venture capitals aim to achieve that goal by implementing different governance setups. However, the success of such initiatives often remains unclear. While there is broad research on such topics, a clear empirical view on governance mechanisms for entrepreneurial structures in incumbents is missing. This paper outlines how to build a governance model based on empirically validated mechanisms and their relationship to corporate startup autonomy. This is achieved by following the systematic literature review approach by Webster and Watson combined with qualitative data analysis techniques. The results describe relevant gaps in current research and identify promising pathways for future research.

关键词： corporate startup corporate entrepreneurship governance autonomy

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Model-Independent Error Bound Estimation for Conformance Checking Approximation

Model-Independent Error Bound Estimation for Conformance Che...

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21st International Conference on business Process Management (BPM)

作者： Sani, Mohammadreza Fani Kabierski, Martin van Zelst, Sebastiaan J. van der Aalst, Wil M. P. Rhein Westfal TH Aachen Proc & Data Sci Chair Aachen Germany Microsoft Dev Ctr Copenhagen Copenhagen Denmark Humboldt Univ Dept Comp Sci Berlin Germany Fraunhofer FIT St Augustin Germany

ISBN: (纸本)9783031509735;9783031509742

Conformance checking techniques quantify correspondence between a process's execution and a reference process model using event data. Alignments, used for conformance statistics, are computationally expensive for complex models and large datasets. Recent studies show accurate approximations can be achieved by selecting subsets of model behavior. This paper presents a novel approach deriving error bounds for conformance checking approximation based on arbitrary activity sequences. The proposed approach allows for the selection of relevant subsets for improved accuracy. Experimental evaluations validate its effectiveness, demonstrating enhanced accuracy compared to traditional alignment methods.

关键词： Process mining Conformance checking approximation Alignments Edit distance Instance selection Sampling

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Monitoring Value Chains of Organic Beverages

Monitoring Value Chains of Organic Beverages

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

作者： Santos, Hugo D. Silva, Patricio de A. Cintra, Marcos E. Mendes Neto, Francisco M. Bukhsh, Faiza A. Fed Univ Semiarid Mossoro RN Brazil Fed Univ Espirito Santos Sao Mateus ES Brazil Univ Twente Enschede Netherlands

ISBN: (纸本)9783031547119;9783031547126

The outflow of manufactured organic products needs to prevent damage to the goods. There are specifications of models of value networks with blockchain services for monitoring transactions. This paper general objective is to provide strategic models to monitor supply chains of organic beverages. The design of this network was based on the Design Science methodology, including the process of investigating the problem, proposing an artifact to tackle it, and validating its construction. A systematic literature review was made and strategic models were proposed to monitor networks with blockchain with validation by empiric evaluation and assessment with a selected company for a single case study. To construct the models, information obtained with the literature review was used, as well as information provided by the company via meetings and surveys. In the design, the e3 value editor tool of the e 3 value framework was used. Three models were produced based on these scenarios: regional, national and international. The models were validated and positively assessed by the participating company, which answered a survey to assess the proposal according to their needs and the feasibility of implementing that technology.

关键词： Preventive Monitoring Food Supply Chain Blockchain technology Value Networks

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Bridging Technostress and Perceived Value: Why Middle-Aged and Elderly People Resist Using Chronic Diseases Management Apps 1

引用

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

作者： Zhao, Ying Liao, Hongyu Zhou, Liang Sichuan Univ Sch Publ Adm Chengdu 610065 Peoples R China North China Inst Sci & Technol Sch Econ & Management Langfang 065201 Peoples R China

ISBN: (数字)9783031602641

ISBN: (纸本)9783031602634;9783031602641

This paper aims to explore the causes of resistance to using chronic disease management APPs in middle-aged and elderly people. By integrating technostress theory and status quo bias (SQB) theory, a conceptual model was proposed to explore the resistance of information system users. A total of 290 questionnaires were collected in the middle-aged and elderly population, and the CB-Structural Equation Model was used to test the hypotheses. We found that both technology anxiety and perceived value can directly affect the resistance intention, while technology anxiety can also indirectly affect the resistance intention by significantly affecting the perceived value. We also found that switching cost has no significant impact on perceived value. The paramount contribution is the combination of technostress theory and the status quo bias theory in the study of system resistance intention and the in-depth discussion of the functional relationship between the two.

关键词： Chronic diseases elderly Resistance intention Technology anxiety Perceived value

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The Impact of Blockchain Traceability information on Product Sales in e-Commerce Platforms 1

引用

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

作者： Li, Mingqian Du, Rong Xidian Univ Sch Econ & Management Xian Shaanxi Peoples R China

ISBN: (数字)9783031603242

ISBN: (纸本)9783031603266;9783031603242

Blockchain traceability system can address the problem of information asymmetry, thereby influencing consumer purchasing decisions. However, its efficacy within the context of e-commerce platforms remains unclear. To address this issue, we analyzed the impact of blockchain traceability on product sales based on cue utilization theory and using a quasi-natural experiment on the JD Mall e-commerce platform. Empirical analyses show that blockchain traceability information not only promotes product sales growth, but also alleviates consumers' reliance on electronic word-of-mouth. In addition, products with lower brand reputation benefit more from implementing blockchain traceability information. The findings of this study help retailers recognise the potential and application conditions of blockchain traceability information, and provide management insights for e-commerce platforms to adopt blockchain traceability systems.

关键词： Blockchain traceability information Electronic word-of-mouth (eWOM) Brand reputation Cue utilization theory

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Research on University Students' information Security Behavior: The Moderating Effect of Disciplinary Background 23rd

Research on University Students' Information Security Behavi...

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

作者： Xu, Jingtong Zhang, Nan Harbin Inst Technol 92 Xidazhi St Harbin Heilongjiang Peoples R China

ISBN: (纸本)9783031603266;9783031603242

While social networking sites (SNSs) provide university students with more diverse channels for information transfer, they also pose certain risks to their personal information security. Previous studies suggested that users' information security behavior is an effective way to prevent information security risks. Based on Technology Threat Avoidance Theory (TTAT), this study constructs a model to explore the influencing factors of information security behaviors of university students in SNSs. Specifically, this study focuses on the moderating effect of disciplinary background in the proposed model. An empirical study was conducted to verify the model. Consistent to the previous literature, the results show that self-efficacy and response efficacy have positive effects on perceived avoidability;perceived threat and perceived avoidability have positive effect on information security behavior. Further, disciplinary backgrounds moderate the relationship between perceived threat and perceived avoidability on information security behavior. Specifically, perceived threat motivates students in soft disciplines to take information security behaviors more than it motivates students in hard disciplines, while perceived avoidability motivates students in hard disciplines to take information security behaviors more than it motivates students in soft disciplines. Based on this, we put forward the information security protection countermeasures.

关键词： information Security Behavior Technology Threat Avoidance Theory Disciplinary Background Social Networking Site

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Pricing Strategy in a Dual-Channel Supply Chain Considering Consortium Blockchain and Cost information Asymmetry 1

引用

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

作者： Fang, Qing He, QingLing Wuhan Univ Sci & Technol Sch Management Wuhan 430065 Peoples R China

ISBN: (数字)9783031602641

ISBN: (纸本)9783031602634;9783031602641

For a dual-channel supply chain constructed by a manufacturer and a retailer, the upstream and downstream members of the supply chain are in the condition of cost information asymmetry. In this paper, we explore whether investing in consortium blockchain technology can mitigate the effects of information asymmetry on the supply chain's overall performance. Three stackelberg game models are constructed to discuss the pricing strategies of supply chain members to deal with information asymmetry. The study's findings indicate that supply chain members deal with the impact of information asymmetry on sales volume by reducing prices. Consortium blockchain technology's input is advantageous to the supply chain's overall profit. When the level of consortium blockchain technology's input is low, the retailer should bear the entire cost of the consortium blockchain, conversely, the manufacturer and retailer should share the cost of the consortium blockchain technology. It is beneficial to consumers when input costs and input level of consortium blockchain are controlled within a certain range. For the strategy that the input costs of the consortium blockchain are split by the manufacturer and the retailer, the smaller the proportion of the manufacturer's share is, the more favorable it is to the total profit of the supply chain.

关键词： Dual Channel Supply Chain information Asymmetry Investment in Consortium Blockchain Technology Pricing Strategy

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Selling in Prompt Marketplace: An Empirical Study on the Joint Effects of Linguistic and Demonstration Signals on Prompt Sales 23rd

Selling in Prompt Marketplace: An Empirical Study on the Joi...

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

作者： Cao, Cuicui Zhao, Ling Li, Yuni Xie, Chongyang Hubei Univ Econ Wuhan 430205 Peoples R China Huazhong Univ Sci & Technol Wuhan 430074 Peoples R China China Univ Geosci Wuhan Wuhan 430074 Peoples R China

ISBN: (纸本)9783031602597;9783031602603

The proliferation of generative artificial intelligence (GAI) spawns a new type of freelance digital platform: prompt marketplace, on which prompt engineers upload their prompts and sell them to potential buyers. As only freelancers themselves know about the prompt in detail and they can only provide limited textual information, great information asymmetry exists that may hinder exchange. Besides, one distinct feature of prompt marketplace is that prompt engineers can display part of their prompt to potential buyers. Thus, drawing on the signaling theory, this study investigates the joint effects of linguistic and demonstration signals on prompt sales. Data from 16,890 prompts were collected and analyzed. Results show that linguistic signals and their interaction with demonstration signals significantly influence prompt sales. Interestingly, we found the negative direct influence of demonstration signals on prompt sales. Our study has theoretical contributions to freelance digital platform literature and extends signaling theory to prompt marketplace. This study can also provide practical suggestions to platforms and freelancers alike.

关键词： Prompt Engineering Prompt Sales informational Signal Affective Signal Demonstration Signal

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