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

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Examining the Impact of Social Networking Sites on Performance of Service Firms: Evidence from Romania 8th

Examining the Impact of Social Networking Sites on Performan...

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8th International Conference on Exploring Services Science (IESS)

作者： Militaru, Gheorghe Deselnicu, Dana-Corina Ioanid, Alexandra Univ Politehn Bucuresti Dept Management Fac Entrepreneurship Business Engn & Management 313 Splaiul Indepdendentei Bucharest 006042 Romania

ISBN: (纸本)9783319569253;9783319569246

The purpose of this study is to extend research on social networking sites and the role of these tools on business performance of service firms. To date, there has been little investigation of the contribution of these tools in order to identify the opportunities for improving business performance. Using cross-section data from a sample in Romania, we empirically investigated the mediating effects of service innovation on the relationship between social networking sites and business performance. Confirmatory Factor Analysis (CFA) was used to perform reliability and validity checks, and structural equation modelling (SEM) was used to test the research model. The findings fill the gap in the literature by demonstrating social networking sites influence the collaboration, ideas and knowledge sharing among employees, customers, and business partners, leading to growth the business performance. The results also indicate that innovation capability played a key role on business performance but its mediating role between social networking sites and business performance of service firms was not confirmed. Finally, the theoretical and practical implications are discussed.

关键词： Social networking sites Innovation Service firms business performance

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On Enriching User-Centered Data Integration Schemas in Service Lakes 20th

On Enriching User-Centered Data Integration Schemas in Servi...

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20th International Conference on business information Systems (BIS)

作者： Alili, Hiba Belhajjame, Khalid Grigori, Daniela Drira, Rim Ben Ghezala, Henda Hajjami Paris Dauphine Univ PSL Res Univ CNRS UMR 7243LAMSADE F-75016 Paris France Univ Manouba Natl Sch Comp Sci RIADI Manouba 2010 Tunisia

ISBN: (纸本)9783319593364;9783319593357

In the Big Data era, companies are moving away from traditional data-warehouse solutions whereby expensive and time-consuming ETL (Extract-Transform-Load) processes are used, towards data lakes, which can be viewed as storage repositories holding a vast amount of raw data. In this paper, we position ourselves in the recurrent context where a user has a local dataset that is not sufficient for processing the queries that are of interest to him. In this context, we show how the data lake, or more specifically the service lake since we are focusing on data providing services, can be leveraged to enrich the local dataset with concepts that cater for the processing of user queries. Furthermore, we present the algorithms we have developed for this purpose and showcase the working of our solution using a study case.

关键词： User-centric data integration Data provisioning service lakes Schema enriching

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A business Process Re-Engineering Approach to Transform BPMN Models to Software Artifacts 7th

A Business Process Re-Engineering Approach to Transform BPMN...

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7th International MCETECH Conference on E-Technologies

作者： Gonzalez-Huerta, Javier Boubaker, Anis Mili, Hafedh Univ Quebec LATECE Lab Montreal PQ Canada Blekinge Inst Technol Software Engn Res Lab Sweden Karlskrona Sweden

ISBN: (纸本)9783319590417;9783319590400

business Process Model and Notation (BPMN) is becoming a de-facto standard for the specification of organizational business processes. In most cases, business processes are modeled in order to build software that may support or automate specific parts of those processes. In this work, we aim at refining BPMN models in order to automatically derive software analysis and design artifacts (e.g., UML Class Diagrams or Use Cases) from a given BPMN. These artifacts will be later on used to develop the software components (not necessarily services) automating or supporting business process activities. Our envisioned approach is based on a three-steps model transformation chain: (1) we refine the BPMN as-is model;(2) we apply process re-engineering and automation patterns to generate the BPMN to-be model;and (3) we use the resulting to-be BPMN model to derive analysis and design software artifacts. In this paper, we focus on the first two steps of the approach.

关键词： Reengineering

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On the Requirement from Practice for Meaningful Variability in Visual Notation 18th

On the Requirement from Practice for Meaningful Variability ...

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18th International Conference on business Process Modeling, Development and Support (BPMDS) / 22nd International Conference on Evaluation and Modeling Methods for Systems Analysis and Development (EMMSAD)

作者： van der Linden, Dirk Hadar, Irit Zamansky, Anna Univ Haifa Dept Informat Syst Haifa Israel

ISBN: (纸本)9783319594668;9783319594651

This research-in-progress paper proposes the need for a move towards more meaningful variability of visual notations. Evidence accumulated via an online survey on the requirements practitioners have for visual notations, indicate the need for variability of a modeling language's visual notation. Widely used modeling languages in practice such as UML and BPMN do not support redesign of the visual notation of core constructs without modifying or extending the underlying abstract syntax and semantics (e.g., UML stereotypes, BPMN extensions). The expressed need to vary commonly used visual notations depending on particular users or contexts, while not changing the underlying modeling language itself, poses a set of research challenges discussed here.

关键词： Conceptual modeling Requirements Visual notations Variability Concrete syntax Practitioner Empirical study

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Router Nodes Placement Using Artificial Immune Systems for Wireless Sensor Industrial Networks 18th

Router Nodes Placement Using Artificial Immune Systems for W...

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18th International Conference on Enterprise information Systems (ICEIS)

作者： Gouvea Coelho, Pedro Henrique Machado do Amaral, Jorge Luis Machado do Amaral, Jose Franco de Arruda Barreira, Luciane Fernanda Barros, Adriano Valladao Univ Estado Rio De Janeiro FEN DETEL Rua Sao Francisco Xavier 524Sala 5001E BR-20550900 Rio De Janeiro RJ Brazil

ISBN: (纸本)9783319623863;9783319623856

The present work is concerned with the placement of router nodes in industrial environments for wireless sensor networks applications making use of artificial immune systems ideas. The motivation for using artificial immune systems lies on the properties of uniqueness, distributed sensing, learning and memory efficiency of such systems enabling the transmission of data from sensors to the gateway efficiently. As a matter of fact, that efficiency deals with a low rate of failure and other aspects such as minimizing retransmission issues done by the routers. The chosen criteria to be met are embedded in the so called affinity function which acts as an objective function. The router nodes positioning are accomplished in two modules which uses the immune systems concepts and related ideas. Different scenarios are considered for the presented examples based on oil and gas configurations and for criteria defined in the affinity function.

关键词： Artificial immune systems Node placement Wireless sensor networks

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Investigating the Evolvability of Financial Domain Models 7th

Investigating the Evolvability of Financial Domain Models

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7th Enterprise Engineering Working Conference (EEWC)

作者： Deryck, Marjolein Dvorak, Ondrej De Bruyn, Peter Verelst, Jan Univ Antwerp Dept Accountancy & Finance Antwerp Belgium Czech Tech Univ Fac Informat Technol Prague Czech Republic Univ Antwerp Dept Management Informat Syst Antwerp Belgium

ISBN: (纸本)9783319579559;9783319579542

Evolvability is a characteristic dealing with change in information Systems (IS). As the requirements evolve in time, the complexity of the system may increase. In turn, the ability to change it decreases. Consequently, the cost of a change can become unbearable. A domain model is an important abstraction covering key aspects of IS. Similarly to the IS it represents, it can suffer with the same evolvability issues. The goal of this paper is to assess combinatorial effects (CE) in a financial industry domain model, more specifically a domain model of financial risk management. It reveals difficulties related to identifying combinatorial effects in domain models in general and presents some insights on the nature of combinatorial effects on this level.

关键词： Domain model Normalized systems Evolvability Combinatorial effect

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Principal Sources for the Identification of Tacit Knowledge Within an IT Company, as Part of an Intelligent System 20th

Principal Sources for the Identification of Tacit Knowledge ...

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20th International Conference on business information Systems (BIS)

作者： Patalas-Maliszewska, Justyna Krebs, Irene Univ Zielona Gora Zielona Gora Poland Brandenburg Univ Technol Cottbus Senftenberg Cottbus Germany

ISBN: (纸本)9783319690230;9783319690223

This article aims to present principal sources for the identification of tacit knowledge within an IT Company, as part of an intelligent system. It is stated, that knowledge workers have the specialised knowledge to come up with or formulate new ideas and that this specialised knowledge is the product of targeted education, experience and competences. Using our personnel usefulness function (Evaluation of Personnel as an Asset - EPS method), a base of knowledge workers, within an IT company is created and then, by using the FAHP method, the main sources of tacit knowledge (MTKS) from this base of knowledge workers are identified. Finally, the implementation of our approach in an information system is presented.

关键词： Identification of tacit knowledge EPS method An intelligent system An IT company

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Towards Differentiating business Intelligence, Big Data, Data Analytics and Knowledge Discovery 5th

Towards Differentiating Business Intelligence, Big Data, Dat...

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5th International ERP Future - Research Conference

作者： Dedic, Nedim Stanier, Clare Staffordshire Univ Fac Comp Engn & Sci Coll Rd Stoke On Trent ST4 2DE Staffs England

ISBN: (纸本)9783319588018;9783319588001

Confusion, ambiguity and misunderstanding of the concepts and terminology regarding different approaches concerned with analysing massive data sets (business Intelligence, Big Data, Data Analytics and Knowledge Discovery) was identified as a significant issue faced by many academics, fellow researchers, industry professionals and domain experts. In that context, a need to critically evaluate these concept and approaches focusing on their similarities, differences and relationships was identified as useful for further research and industry professionals. In this position paper, we critically review these four approaches and produce a framework, which provides visual representation of the relationship between them to effectively support their identification and easier differentiation.

关键词： business Intelligence Big Data Data Analytics Knowledge Discovery

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business Model Loom: A Pattern-Based Approach Towards the Definition of business Models 18th

Business Model Loom: A Pattern-Based Approach Towards the De...

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18th International Conference on Enterprise information Systems (ICEIS)

作者： Camila Romero, Maria Sanchez, Mario Villalobos, Jorge Univ Los Andes Syst & Comp Engn Bogota Colombia

ISBN: (纸本)9783319623863;9783319623856

To understand what an organization does one must comprehend the business model, which describes the way in which an organization acquires raw materials, transforms them into a product or service that is delivered to a client, and gains money in exchange. In consequence, it is possible to decompose the model into four core processes: supply, transformation, delivery, and monetization, which have both structural and behavioral dependencies among them. Unfortunately, identifying the business model demands an overall view of the business, and most representations focus only on the structural part leaving aside the interactions between core processes. The objective of this paper is twofold. Firstly, it presents a conceptualization and representation for business models that is capable of handling their components and interactions. Secondly, it uses the proposed representation to introduce a catalog of business patterns applicable in the design, portrayal, and analysis of business models. Each pattern includes the basic participants, resources, activities and interactions that must be accounted for in order to perform the core process. When different patterns are joined together, a complete business model can be portrayed.

关键词： business model Structural view Behavioral view business model pattern

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Sentiment-Analysis for German Employer Reviews 20th

Sentiment-Analysis for German Employer Reviews

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20th International Conference on business information Systems (BIS)

作者： Abel, Jennifer Klohs, Katharina Lehmann, Holger Lantow, Birger Univ Rostock Fac Comp Sci & Elect Engn Dept Business Informat Syst Albert Einstein Str 22 D-18051 Rostock Germany

ISBN: (纸本)9783319690230;9783319690223

This paper examines the possibilities of sentiment analysis performed on German employer reviews. In times of competition for highly skilled professionals on the German job market, there is a demand for the monitoring of social media and web sites providing employment related information. Compared to mainstream research this implies (1) a focus on German language, (2) employer reputation as a new domain, and (3) employer reviews as a new source possibly showing special linguistic characteristics. General approaches and tools for sentiment analysis and their application to German language are assessed in a first step. Then, selected approaches are evaluated regarding their analysis accuracy based on a data set containing German employer reviews. The results are used to conclude major obstacles, promising approaches and possible prospective research directions in the domain of employer reputation analysis.

关键词： Sentiment analysis Recruitment Social media analysis Employer reputation Machine learning

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