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

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A Study Investigating Factors Affecting User Ratings in Mobile Games 20th

A Study Investigating Factors Affecting User Ratings in Mobi...

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20th Workshop on E-business (WeB)

作者： Srivastava, Smriti Kim, Dan J. Univ North Texas Denton TX 76203 USA

ISBN: (纸本)9783031041266;9783031041259

Mobile applications have become popular in the world, and they are widely used for a variety of purposes, including entertainment, games, education, etc. Mobile gaming applications are the most popular apps on the App Store. This study analyses the relationship between different game characteristics and user ratings using signaling theory which helps app developers in designing their gaming apps. This study will determine the role of the price as well as in-app purchases of the mobile game in influencing the user rating of a mobile gaming application which can ultimately affect the success of the game. The results of the study can help developers plan their monetization strategy when they release a new game in the market.

关键词： Signaling theory Mobile games In-app purchases

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Towards Understanding the Role of the Human in Event Log Extraction 5th

Towards Understanding the Role of the Human in Event Log Ext...

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International Conference on business Process Management (BPM)

作者： Dani, Vinicius Stein Leopold, Henrik van der Werf, Jan Martijn E. M. Lu, Xixi Beerepoot, Iris Koorn, Jelmer J. Reijers, Hajo A. Univ Utrecht Princetonpl 5 NL-3584 CC Utrecht Netherlands Kuhne Logist Univ Grosser Grasbrook 17 D-20457 Hamburg Germany

ISBN: (纸本)9783030943431;9783030943424

Process mining is widely used to visualize, analyze, and improve business processes. However, often its application is hindered by the considerable preparation effort that needs to be conducted by humans. One of the key tasks required in this context is obtaining the input artifact for process mining techniques: the event log. The data that is required for building such an event log typically needs to be collected from several databases and then transformed into a suitable format. While it has become clear to both academics and practitioners that the amount of human work is substantial, there is no deep understanding of the exact activities humans need to perform. Therefore, we use this paper to develop a precise understanding of how humans are involved in event log extraction. Based on a structured literature review and qualitative data coding, we derive a taxonomy of human tasks in event log extraction. This taxonomy can serve as input for both future automation efforts, as well as for process mining methodologies.

关键词： Process mining Event log extraction Human tasks

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Process Mining: A Guide for Practitioners 16th

Process Mining: A Guide for Practitioners

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

作者： Milani, Fredrik Lashkeyich, Katsiaryna Maggi, Fabrizio Maria Di Francescomarino, Chiara Univ Tartu Tartu Estonia Free Univ Bozen Bolzano Bolzano Italy FBK IRST Trento Italy

ISBN: (纸本)9783031057601;9783031057595

In the last years, process mining has significantly matured and has increasingly been applied by companies in industrial contexts. However, with the growing number of process mining methods, practitioners might find it difficult to identify which ones to apply in specific contexts and to understand the specific business value of each process mining technique. This paper's main objective is to develop a business-oriented framework capturing the main process mining use cases and the business-oriented questions they can answer. We conducted a Systematic Literature Review (SLR) and we used the review and the extracted data to develop a framework that (1) classifies existing process mining use cases connecting them to specific methods implementing them, and (2) identifies business-oriented questions that process mining use cases can answer. Practitioners can use the framework to navigate through the available process mining use cases and to identify the process mining methods suitable for their needs.

关键词： business process management Process mining Use cases Systematic Literature Review business value

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Alpha Precision: Estimating the Significant System Behavior in a Model

Alpha Precision: Estimating the Significant System Behavior ...

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

作者： Depaire, Benoit Janssenswillen, Gert Leemans, Sander J. J. Hasselt Univ Business Informat Hasselt Belgium Queensland Univ Technol Brisbane Qld Australia

ISBN: (纸本)9783031161711;9783031161704

One of the goals of process discovery is to construct, from a given event log, a process model which correctly represents the underlying system. As with any abstraction, one does not necessarily want to represent all possible behavior, but only the significant behavior. While various discovery algorithms support this use case of discovering the significant process behavior, proper evaluation measures for this use case appear to be missing. Therefore, this paper presents a new precision metric that quantifies to what extent the discovered model contains significant system behavior. Besides being a metric with a clear and intuitive interpretation, the metric distinguishes itself in two other areas. Firstly, it introduces the concept of a-significance, which only measures precision with respect to significant behavior. Secondly, it is designed as a system measure and estimates the precision with respect to the underlying system rather than the observed log. This work introduces a new precision measure and a statistical estimation method. Additionally, an empirical demonstration and evaluation of the metric are provided, which creates initial insights and knowledge about the performance and characteristics of the new measure. The results show that the a-precision measure provides a solid foundation for future work on developing quality measures for this particular use case.

关键词： Process discovery Precision Stochastic process models

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Artificial Intelligence Project Success Factors-Beyond the Ethical Principles 16th

Artificial Intelligence Project Success Factors-Beyond the E...

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16th Conference on information Systems Management (ISM) / Advances in information Systems and Technologies Conference Track (FedCSIS-AIST) Held as Part of 16th Conference on Computer Science and Intelligence Systems (FedCSIS)

作者： Miller, Gloria J. Maxmetrics Heidelberg Germany

ISBN: (纸本)9783030989972;9783030989965

The algorithms implemented through artificial intelligence (AI) and big data projects are used in life-and-death situations. Despite research that addresses varying aspects of moral decision-making based upon algorithms, the definition of project success is less clear. Nevertheless, researchers place the burden of responsibility for ethical decisions on the developers of AI systems. This study used a systematic literature review to identify five categories of AI project success factors in 17 groups related to moral decision-making with algorithms. It translates AI ethical principles into practical project deliverables and actions that underpin the success of AI projects. It considers success over time by investigating the development, usage, and consequences of moral decision-making by algorithmic systems. Moreover, the review reveals and defines AI success factors within the project management literature. Project managers and sponsors can use the results during project planning and execution.

关键词： Algorithms Artificial intelligence Big data Critical success factors Moral decision-making Project management

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Towards Identification of Privacy Requirements with Systems Thinking 12th

Towards Identification of Privacy Requirements with Systems ...

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12th International Symposium on business Modeling and Software Design (BMSD)

作者： Sarrala, Tuisku Mikkonen, Tommi Anh Nguyen Duc Abrahamsson, Pekka Univ Jyvaskyla POB 35 Jyvaskyla 40014 Finland Univ South Eastern Norway Dept Business & IT POB 4 N-3199 Borre Norway

ISBN: (纸本)9783031115103;9783031115097

Implementing privacy as software functions is required by privacy regulation. Achieving this requires shared understanding between business process owners and software engineers, who implement it. Current literature reveals a major gap between privacy requirements and how engineers interpret privacy. Furthermore, as today's sociotechnical systems are increasingly complex and ever-evolving, unknown privacy issues can emerge from them as a side-effect. Understanding privacy and identifying privacy threats are pre-requisites for deciding on and implementing the right functionality in software. However, current methods for privacy threat identification do not cover all aspects of privacy, suit complex sociotechnical systems or requirements engineering, or support engineers forming a mental model of privacy. We claim that this situation can be improved by applying a systems thinking approach to privacy threat identification. In this paper, we elaborate the problem and propose a research agenda that will help close the gap between privacy requirements and technical software functionality.

关键词： Privacy by design Privacy engineering Privacy threat modelling Privacy mental model Systems thinking

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Roadmapping in the Digital Transformation Literature 13th

Roadmapping in the Digital Transformation Literature

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13th International Conference on Software business

作者： Zada, Ashna Mahmood Persson, John Stouby Nielsen, Peter Axel Aalborg Univ Dept Comp Sci Selma LagerlofsVej 300 DK-9220 Aalborg Denmark

ISBN: (纸本)9783031207051;9783031207068

Digital transformation is vital for organizations in all sectors, as it changes value creation, customer relationships, and internal processes. A key concern in digital transformations is creating and executing an effective strategy that reimagines the organization. However, structured approaches for reimagination in a digital transformation are still missing. This paper contributes to this concern by reviewing how roadmapping is used in the digital transformation literature. Roadmapping is a flexible technique to support the strategic formulation of short- and long-range changes to software, business, organizational and structural aspects. Reviewing 28 papers on digital transformation, we uncovered five types of roadmapping for reimagining organizations: Product-Technology, Strategy, business, Data, and Design. For these five types, we unfold the landscape of obstacles, opportunities, and context for different pathways to successfully reimagining organizations in digital transformations.

关键词： Roadmapping Process Digital transformation Literature review

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Enabling Conformance Checking for Object Lifecycle Processes 16th

Enabling Conformance Checking for Object Lifecycle Processes

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

作者： Breitmayer, Marius Arnold, Lisa Reichert, Manfred Ulm Univ Inst Databases & Informat Syst Ulm Germany

ISBN: (纸本)9783031057601;9783031057595

In object-aware process management, processes are represented as multiple interacting objects rather than a sequence of activities, enabling data-driven and highly flexible processes. In such flexible scenarios, however, it is crucial to be able to check to what degree the process is executed according to the model (i.e., guided behavior). Conformance checking algorithms (e.g., Token Replay or Alignments) deal with this issue for activity-centric processes based on a process model (e.g., specified as a petri net) and a given event log that reflects how the process instances were actually executed. This paper applies conformance checking algorithms to the behavior of objects. In object-aware process management, object lifecycle processes specify the various states into which corresponding objects may transition as well as the object attribute values required to complete these states. The approach accounts for flexible lifecycle executions using multiple workflow nets and conformance categories, therefore facilitating process analysis for engineers.

关键词： Data-centric process management Conformance checking Process analysis Object lifecycle processes

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Capabilities for Digital Process Innovation: Results of an Ongoing Action Research Study 5th

Capabilities for Digital Process Innovation: Results of an O...

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International Conference on business Process Management (BPM)

作者： Plattfaut, Ralf Borghoff, Vincent South Westphalia Univ Appl Sci Soest Germany

ISBN: (纸本)9783030943431;9783030943424

Organizations around the globe are faced with digital transformation. However, many of these organizations, especially small- and medium-sized enterprises, lack the corresponding individual skills as well as the organizational capabilities to implement digital process innovations and change the corresponding organizational routines. This research-in-progress paper reports on preliminary results of an action research study. We conceptualize organizational digital process innovation capabilities as dynamic capabilities and create a theoretical understanding of these capabilities with their corresponding microfoundations, i.e., the individual employee's skills. Based on an in-depth action research study we will be able to show in how far outside consulting support will change individuals' skills as well as organizational capabilities. We thus contribute to both theory on organizational capability-building for digital process innovation as well as dynamic capability theory.

关键词： Digitalization Dynamic capabilities Organizational capabilities Digital innovation

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A High-Resolution Urban Land Surface Dataset for the Hong Kong-Shenzhen Area 24th

A High-Resolution Urban Land Surface Dataset for the Hong Ko...

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24th International Conference on business information Systems (BIS)

作者： Li, Zhiqiang Wan, Bingcheng Chinese Univ Hong Kong Inst Space & Earth Informat Sci Hong Kong 999077 Peoples R China Chinese Acad Sci Inst Atmospher Phys State Key Lab Atmospher Boundary Layer Phys & Atm Beijing 100864 Peoples R China

ISBN: (纸本)9783031042164;9783031042157

In recent years, with fast-developing computational capabilities, high-resolution techniques have been widely employed in atmospheric models. Thus, researchers can apply these high-resolution models to produce detailed meteorological scenarios, which empowers studies of urban-scale climatology relying on finer grid spacing. The WRF ARW/Noah LSM/UCM model is often used in urban climate research. However, the default input land surface data in urban areas is not precise enough, especially for the data describing in China. This study was pertinent to the increasing presence of ambiguous modeling practices in urban-scale climatology because of the out-of-date land surface data with insufficient fixes. Given the lack of quality-assured high-spatial-resolution land surface datasets, we produced a high-resolution urban land surface dataset including the land cover, vegetation coverage, urban morphology, artificial impervious area, and anthropogenic heat data for the Hong Kong-Shenzhen area - one of the world's largest metropolitan areas and a unique pair of twin cities. In short, the high-resolution urban land surface dataset provided a complete set of land surface information required for high-resolution urban climate modeling in the Hong Kong-Shenzhen area, which is exceedingly rare, especially in which the data on detailed urban morphology and anthropogenic heat fluxes.

关键词： Urban Land surface Hong Kong-Shenzhen area Climate modeling

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