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

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When to Intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints

When to Intervene? Prescriptive Process Monitoring Under Unc...

引用

20th International Conference on business Process Management (BPM) / business Process Management (BPM) Forum

作者： Shoush, Mahmoud Dumas, Marlon Univ Tartu Tartu Estonia

ISBN: (纸本)9783031161711;9783031161704

Prescriptive process monitoring approaches leverage historical data to prescribe runtime interventions that will likely prevent negative case outcomes or improve a process's performance. A centerpiece of a prescriptive process monitoring method is its intervention policy: a decision function determining if and when to trigger an intervention on an ongoing case. Previous proposals in this field rely on intervention policies that consider only the current state of a given case. These approaches do not consider the tradeoff between triggering an intervention in the current state, given the level of uncertainty of the underlying predictive models, versus delaying the intervention to a later state. Moreover, they assume that a resource is always available to perform an intervention (infinite capacity). This paper addresses these gaps by introducing a prescriptive process monitoring method that filters and ranks ongoing cases based on prediction scores, prediction uncertainty, and causal effect of the intervention, and triggers interventions to maximize a gain function, considering the available resources. The proposal is evaluated using a real-life event log. The results show that the proposed method outperforms existing baselines regarding total gain.

关键词： Prescriptive process monitoring Causal inference Uncertainty

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A Human-in-the-Loop Approach to Support the Segments Compliance Analysis 1

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20th International Conference on business Process Management (BPM) / business Process Management (BPM) Forum

作者： Agostinelli, Simone Acitelli, Giacomo Capece, Michela Mecella, Massimo Sapienza Univ Roma Rome Italy

ISBN: (数字)9783031161681

ISBN: (纸本)9783031161681;9783031161674

Robotic Process Automation (RPA) is an emerging automation technology in the field of business Process Management (BPM) that creates software (SW) robots to partially or fully automate rule-based and repetitive tasks (a.k.a. routines) previously performed by human users in their applications' user interfaces (UIs). Nowadays, successful usage of RPA requires strong support by skilled human experts, from the discovery of the routines to be automated (i.e., the so-called segmentation issue of UI logs) to the development of the executable scripts required to enact SWrobots. In this paper, we present a human-in-the-loop approach to filter out the routine behaviors (a.k.a. routine segments) not allowed (i.e., wrongly discovered from the UI log) by any real-world routine under analysis, thus supporting human experts in the identification of valid routine segments. We have also measured to which extent the humanin-the-loop strategy satisfies three relevant non-functional requirements, namely effectiveness, robustness and usability.

关键词： Robotic Process Automation Segmentation of UI logs Declarative constraints

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Increasing Employees' Willingness to Share: Introducing Appeal Strategies for People Analytics 13th

Increasing Employees' Willingness to Share: Introducing Appe...

引用

13th International Conference on Software business

作者： Zieglmeier, Valentin Gierlich-Joas, Maren Pretschner, Alexander Tech Univ Munich Munich Germany Ludwig Maximilian Univ Munich Munich Germany

ISBN: (纸本)9783031207051;9783031207068

Increasingly digital workplaces enable advanced people analytics (PA) that can improve work, but also implicate privacy risks for employees. These systems often depend on employees sharing their data voluntarily. Thus, to leverage the potential benefits of PA, companies have to manage employees' disclosure decision. In literature, we identify two main strategies: increase awareness or apply appeal strategies. While increased awareness may lead to more conservative data handling, appeal strategies can promote data sharing. Yet, to our knowledge, no systematic overview of appeal strategies for PA exists. Thus, we develop an initial taxonomy of strategies based on a systematic literature review and interviews with 18 experts. We describe strategies in the dimensions of values, benefits, and incentives. Thereby, we present concrete options to increase the appeal of PA for employees.

关键词： People analytics HR analytics Employee privacy concerns Disclosure decision Taxonomy

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business Process Management in CEE Countries: A Literature-Based Research Landscape 1

引用

20th International Conference on business Process Management (BPM) / business Process Management (BPM) Forum

作者： Gabryelczyk, Renata Brzychczy, Edyta Gdowska, Katarzyna Kluza, Krzysztof Univ Warsaw Ul Dluga 44-50 PL-00241 Warsaw Poland AGH Univ Sci & Technol Al Mickiewicza 30 PL-30059 Krakow Poland

ISBN: (数字)9783031161681

ISBN: (纸本)9783031161681;9783031161674

This article presents the results of a literature review on business Process Management in the countries of Central Eastern Europe, authored by researchers affiliated to those countries. In line with the used review protocol, our study comprises 159 journal articles analyzed from a meta-perspective, including 60 empirical articles that underwent content-based analysis. While researching BPM in CEE countries, we diagnosed Management as the most-studied phenomenon among the three main areas of BPM alongside Foundations and Engineering. Among the different characteristics of BPM research diagnosed, we identified, as examples, research developments over time, and, Croatia and Slovenia as the nations most involved in BPM research. In order to identify the research gap regarding the BPM capabilities understudy, and to engage researchers in new trends combining BPM with digitalization, we used the original and updated core elements of the BPM framework. We have shown that BPM methods are the most tested, followed by Governance and Strategy Alignment. As in previous studies, elements of People and Culture are under researched. The inclusion of enhanced and novel BPM capabilities in light of digitalization is in the very early stages of research in CEE. Our studies show apparent research gaps that should be filled in line with the idea of contextual intelligence, justifying the new questions on BPM that researchers in CEE countries may post. This approach allows the drawing of new conclusions and thus contributes to the development of the BPM body of knowledge.

关键词： business Process Management BPM Central Eastern Europe CEE Literature review

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Implementing AI Ethics in a Software Engineering Project-Based Learning Environment - The Case of WIMMA Lab 13th

Implementing AI Ethics in a Software Engineering Project-Bas...

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13th International Conference on Software business

作者： Agbese, Mamia Ori-otse Rintamaki, Marko Mohanani, Rahul Abrahamsson, Pekka Univ Jyvaskyla Seminaarinkatu 15 Jyvaskyla 40014 Finland Jyvaskyla Univ Appl Sci Rajakatu 35 Jyvaskyla Finland

ISBN: (纸本)9783031207051;9783031207068

Increasing ethical concerns necessitate AI ethics forms part of practical software engineering (SE) foundational educational learning. Using an ethnographic approach and focus group discussions in a SE project-based learning environment, WIMMA lab, we gain insight into how AI ethics can be implemented to enable students to acquire these necessary skills. We propose a framework as an outcome to aid the implementation of AI ethics skills within SE project-based learning environments.

关键词： Artificial Intelligence Implementing AI ethics Software engineering Project-based learning AI Software business PBL

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Challenges of Mining Twitter Data for Analyzing Service Performance: A Case Study of Transportation Service in Malaysia 24th

Challenges of Mining Twitter Data for Analyzing Service Perf...

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24th International Conference on business information Systems (BIS)

作者： Chua, Hui Na Liao, Alvin Wei Qiang Low, Yeh Ching Lee, Angela Siew Hoong Ismail, Maizatul Akmar Sunway Univ Dept Comp & Informat Syst Subang Jay Malaysia Univ Malaya Fac Comp Sci & Informat Technol Kuala Lumpur Malaysia

ISBN: (纸本)9783031042164;9783031042157

Literature has shown the prominence of extracting social media data to understand public opinion. However, there are little works on how these opportunities can be realized and the challenges in exploiting the opportunities in the transportation industry. Further, data quality and availability using social media may vary according to different demographics due to population size and languages used. Additionally, most of the related prior studies that show the opportunities of using social media data were conducted in North and South America. With this proposition, we seek to investigate the challenges of using Twitter data with text mining techniques for understanding users' opinions and sentiment through a case study of using the data to assess public transportation service performance specifically in a Malaysian context. Our findings indicate that social media data can only be useful in generating reasonable insights if users could input informative words for forming discussed topics to derive opinion, and incline towards a certain sentiment with adjectives. The findings also identified the need for a more proficient dictionary to classify multilingual tweets. Our research provides original evidence proving the potential of using social media data to assess public transportation services performance which may vary depending on the demographics of the social media users.

关键词： Text mining Topic modelling Latent Dirichlet Allocation (LDA) Twitter open data Sentiment analysis Transportation service performance

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Combinations of Content Representation Models for Event Detection on Social Media 16th

Combinations of Content Representation Models for Event Dete...

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16th International Conference on Research Challenges in information Sciences (RCIS)

作者： Maitre, Elliot Chevalier, Max Dousset, Bernard Gitto, Jean-Philippe Teste, Olivier Univ Toulouse IRIT F-31400 Toulouse France Scalian 22 Bd Deodat de Severac F-31770 Colomiers France

ISBN: (纸本)9783031057601;9783031057595

Social media are becoming the preferred channel to report and discuss events happening around the world. The data from these channels can be used to detect ongoing events in real-time. A typical approach is to use event detection methods, usually consisting of a clustering phase, in which similar documents are grouped together, and then an analysis of the clusters to decide whether they deal with real-world events. To cluster together similar documents, content representation models are critical. In this paper, we individually compare the performances of different social media documents content representation models used during the clustering phase, exploiting lexical, semantic and social media specific features, like tags and URLs. To the best of our knowledge, thesemodels are usually individually exploited in this context. We investigate their complementarity and propose to combine them.

关键词： information systems Content representation models Lexical representation Semantic representation Event detection Social networks

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Ontological Foundations for Trust Dynamics: The Case of Central Bank Digital Currency Ecosystems 16th

Ontological Foundations for Trust Dynamics: The Case of Cent...

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16th International Conference on Research Challenges in information Sciences (RCIS)

作者： Amaral, Glenda Sales, Tiago Prince Guizzardi, Giancarlo Free Univ Bozen Bolzano Conceptual & Cognit Modeling Res Grp CORE Bolzano Italy Univ Twente Serv & Cybersecur Enschede Netherlands

ISBN: (纸本)9783031057601;9783031057595

In recent years, disruptive technologies have advanced at a rapid pace. These new developments have the power to accelerate the production and delivery, improve the quality, and reduce the costs of goods and services, as well as to contribute to individual and collective wellbeing. However, their adoption relies largely on user trust. And trust, due to its dynamic nature, is fragile. Therefore, just as important as to build trust is to maintain it. To build sustainable trust it is fundamental to understand the composition of trust relations and what factors can influence them. To address this issue, in this paper, we provide ontological foundations for trust dynamics. We extend our previous work, the Reference Ontology of Trust (ROT), to clarify and provide a deeper account of some building blocks of trust as well as the many factors that can influence trust relations. We illustrate the working of ROT by applying it to a real case study concerning citizens' trust in central bank digital currency ecosystems, which has been conducted in close collaboration with a national central bank.

关键词： Trust dynamics UFO OntoUML Central bank digital currency

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Increasing Awareness and Usefulness of Open Government Data: An Empirical Analysis of Communication Methods 16th

Increasing Awareness and Usefulness of Open Government Data:...

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16th International Conference on Research Challenges in information Sciences (RCIS)

作者： Chokki, Abiola Paterne Simonofski, Anthony Frenay, Benoit Vanderose, Benoit Univ Namur Namur Belgium

ISBN: (纸本)9783031057601;9783031057595

Over the past decade, governments around theworld have implemented Open Government Data (OGD) policies tomake their data publicly available, with collaboration and citizen engagement being one of the main goals. However, even though a lot of data is published, only a few citizens are aware of its existence and usefulness, which hinders fulfilling the purpose of OGD initiatives. The objective of this paper is to fill this gap by identifying the appropriate communication methods for raising awareness and usefulness of OGD to citizens. To achieve this goal, we first conducted a literature review to identify methods used to raise citizen awareness of OGD. Then, these identified methods were confronted with the results obtained from an online survey completed by 30 participants on their preferred methods to provide recommendations to governments. The contribution of this paper is twofold. First, it provides an inventory of communication methods identified in the literature. Second, it analyzes the gap between the use of these methods in practice and citizens' preference and uses this analysis to propose a list of methods that governments can use to promote OGD.

关键词： Open government data Citizens Awareness Communication methods

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Fine-Grained Data Access Control for Collaborative Process Execution on Blockchain 1

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20th International Conference on business Process Management (BPM) / business Process Management (BPM) Forum

作者： Marangone, Edoardo Di Ciccio, Claudio Weber, Ingo Sapienza Univ Rome Rome Italy Tech Univ Berlin Software & Business Engn Berlin Germany

ISBN: (数字)9783031161681

ISBN: (纸本)9783031161681;9783031161674

Multi-party business processes are based on the cooperation of different actors in a distributed setting. Blockchains can provide support for the automation of such processes, even in conditions of partial trust among the participants. On-chain data are stored in all replicas of the ledger and therefore accessible to all nodes that are in the network. Although this fosters traceability, integrity, and persistence, it undermines the adoption of public blockchains for process automation since it conflicts with typical confidentiality requirements in enterprise settings. In this paper, we propose a novel approach and software architecture that allow for fine-grained access control over process data on the level of parts of messages. In our approach, encrypted data are stored in a distributed space linked to the blockchain system backing the process execution;data owners specify access policies to control which users can read which parts of the information. To achieve the desired properties, we utilise AttributeBased Encryption for the storage of data, and smart contracts for access control, integrity, and linking to process data. We implemented the approach in a proof-of-concept and conduct a case study in supply-chainmanagement. From the experiments, we find our architecture to be robustwhile still keeping execution costs reasonably low.

关键词： Attribute Based Encryption Blockchain business process management IPFS

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