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Fwd: [computational.science] JoDS Special Issue on Big Data Semantics
by Gustaf Neumann 07 Jun '20

07 Jun '20

-------- Forwarded Message -------- Subject: [computational.science] JoDS Special Issue on Big Data Semantics Date: Mon, 05 Aug 2019 15:07:42 +0200 From: Paolo Ceravolo <Paolo.Ceravolo(a)unimi.it> # JOURNAL ON DATA SEMANTICS ## SPECIAL ISSUE: BIG DATA SEMANTICS https://homes.di.unimi.it/ceravolo/Call-BDS-JDS.pdf ### Call for papers The complexity of Big Data applications in conjunction with the lack of standards for representing their components, computations, and processes, have made the design of data-intensive applications a failure prone and resource-intensive activity. One of the reasons behind it can be identified in a lack of sound modeling practices. Indeed, multiple components and procedures must be coordinated to ensure a high level of data quality and accessibility for the application layers, e.g. data analytics and reporting. We believe that a major challenges of Big Data research requires - even more than developing new analytics - devising innovative data management techniques capable to deliver functional and non-functional properties like among others: data quality, data integration, metadata discovery, reconciliation and augmentation, model compliance, or regulatory compliance. Data Semantics research can address such challenges in future research according to the FAIR principles, for implementing design procedures that generate Findable, Accessible, Interoperable, and Reusable data. Methods, principles, and perspectives developed by the Data Semantics community can significantly contribute to this goal. Solutions for integrating and querying schema-less data, for example, have received much attention. Standards for metadata management have been proposed to improve data integration among silos and to make data more discoverable and accessible through heterogeneous infrastructures. A further level of application of Data Semantics principles into Big Data technologies involves Representing Processes, i.e. representing the entire pipeline of technologies connected to achieve a specific solution and make this representation shareable and verifiable to support a mature implementation of the Big Data production cycle. This special issue of the Journal on Data Semantics aims at sharing research and practical achievements in the field of Big Data integration, storage, and processing. Topics of interest for submission include, but are not limited to: • Big Data Management • Metadata Management • Big Data Persistence and Preservation • Big Data Quality and Provenance Control • Big Data Storage and Retrieval • Big Data Integration Architectures and Techniques • Data Source Discovery • Big Data Profiling and Semantics Discovery • Querying Heterogeneous Big Data Repositories • Caching and Materializing Query Results • Quality of Big Data Services • Big Data Service Performance Evaluation • Big Data Service Reliability and Availability • Reproducibility of Big Data Services • Verifiability of Big Data Services • Assurance in Big Data Services • Big Data Visualization • Real Time Visualisation • Visualization Analytics for Big Data • Big Social Media Mining • Big Data Security and Privacy • Big Data System Security and Integrity • Big Data Information Security • Privacy-Preserving Big Data Analytics • Usable Security and Privacy for Big Data • Performance of Big Data Architectures • Query Optimization • Optimal Selection of Analytics • Physical Structures ## Guest Editors Paolo Ceravolo, Università degli Studi di Milano, Italy Robert Wrembel, Poznan University of Technology, Poland Sylvio Barbon Junior, State University of Londrina, Brazil ## Editorial Board Antonia Azzini, Consortium for the Technology Transfer (C2T), Italy Clodis Boscarioli, State University of West Paraná - UNIOESTE, Brazil Fadila Bentayeb, Université Lyon 2, France Omar Boussaid, Université Lyon 2, France Philippe Cudre-Mauroux, University of Fribourg, Switzerland Jerome Darmont, Université Lyon 2, France Luke Immes, University of Massachusetts Lowell, USA Maurice van Keulen, University of Twente, The Netherlands Mariangela Lazoi, University of Salento, Italy Marcello Leida, StrabioDB, Spain M. Teresa Gómez López, University of Seville, Spain Azzam Mourad, Lebanese American University of Beirut, Lebanon Jaroslav Pokorny, Charles University, Czech Republic Kai-Uwe Sattler, TU Ilmenau, Germany Darja Solodovnikova, University of Latvia, Latvia Sean Wolfgand Matsui Siqueira, Federal University of Rio de Janeiro State, Brazil Fadi Zaraket, American University of Beirut, Lebanon Bruno Bogaz Zarpelão, State University of Londrina, Brazil ## Timetable: - 10 Nov 2019 - paper submission - 25 Jan 2020 - author notification - 15 Mar 2020 - revision submission - 25 Apr 2020 - final acceptance notification - 10 Jun 2020 - camera-ready submission ##Submission Guidelines JoDS is looking for high-quality papers on any topic relevant to the journal, including regular papers, survey papers, industry papers, short papers, position papers, and reports. Submissions should contain original material that has not been submitted or published elsewhere. The submission should include an abstract and keywords, authors, and specify which author serves as contact author. All submissions will be carefully reviewed by at least three experts. Submissions have to be formatted according to the journal’s guidelines at http://www.springer.com/13740 and have to be uploaded into Springer’s Electronic Management System at https://www.editorialmanager.com/jods JoDS is abstracted/indexed in: Google Scholar, DBLP, OCLC, Summon by ProQuest. Selected sample articles are available at http://www.springer.com/13740 ISSN: 1861-2032 (print version) ISSN: 1861-2040 (electronic version) Any questions should be addressed to the Guest Editors Paolo Ceravolo, paolo.ceravolo(a)unimi.it Robert Wrembel, robert.wrembel(a)cs.put.poznan.pl Sylvio Barbon Junior, barbon(a)uel.br _______________________________________________ computational.science mailing list computational.science(a)lists.iccsa.org https://lists.iccsa.org/mailman/listinfo/computational.science Hosted by Sardina Systems: FishOS: AI-powered OpenStack www.sardinasystems.com

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Fwd: [computational.science] TENTH INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS - SIMPDA 2020
by Gustaf Neumann 07 Jun '20

07 Jun '20

-------- Forwarded Message -------- Subject: [computational.science] TENTH INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS - SIMPDA 2020 Date: Fri, 27 Mar 2020 11:41:13 +0100 From: Paolo Ceravolo <Paolo.Ceravolo(a)unimi.it> # SIMPDA 2019 ## TENTH INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS ### In conjunction with the 24th European Conference on Advances in Databases and Information Systems – ADBIS 2020 – Lyon, France, August 25, 2020 [http://simpda2020.di.unimi.it](http://simpda2020.di.unimi.it) [![ADBIS](http://eric.univ-lyon2.fr/adbis-tpdl-eda-2020/wp-content/uploads/2019/05/adbis_logo2-270x192.png)](http://eric.univ-lyon2.fr/adbis-tpdl-eda-2020/adbis/) ## About SIMPDA The increasing automation of business processes and the growing amounts of process data become available opens new research opportunities for business process data analysis, mining, and modeling. The aim of the *IFIP W.G. 2.6 International Symposium on Data-Driven Process Discovery and Analysis* is to offer a forum where researchers from different communities and the industry can share their insight in this hot new field. The Symposium will feature a number of advanced *research papers*, shorter presentations on recent research, a competitive *Ph.D. seminar* and selected research and *industrial demonstrations*. This year the symposium will be held in Bled, in cunjunction with the ADBIS conference. ###Call for Papers The **IFIP W.G. 2.6** *International Symposium on Data-Driven Process Discovery and Analysis* **(SIMPDA 2020)** offers a unique opportunity to present new approaches and research results to researchers and practitioners working in business process data modelling, representation, and privacy-aware analysis. The symposium will bring together leading researchers, engineers, and scientists from around the world. Full papers must not exceed 12 pages. Short papers are limited to at most 6 pages. All papers must be original contributions, not previously published or under review for publication elsewhere. All contributions must be written in English and must follow the **CCIS template** and **Springer** paper preparation rules, see: [https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…. ### Call for post-Proceedings The authors of the accepted papers will be invited to submit extended articles to a post-symposium proceedings volume which will be published in the **LNBIP series** [Lecture Notes in Business Information Processing](http://www.springer.com/series/7911), scheduled for late 2020 (extended papers length will be between 7000 and 9000 words). Around 5-8 papers will be selected for publication after a second round of review. ### Topics Topics of interest for submission include, but are not limited to: * Business process modeling languages, notations, and methods * Lightweight process model * Data-aware and data-centric approaches * Big Data process representation and management * Online Process Mining * Process mining with Big Data * Variability and configuration of process models * Process simulation and static analyses * Process data query languages * Process data mining * Process data visualization and reporting * Privacy-aware process data mining * Process metadata and semantic reasoning * Process patterns and standards * Foundations of business process models * Resource management in business process execution * Process tracing and monitoring * Process change management and evolution * Business process lifecycle * Case studies and experience * Social process discovery * Crowdsourced process definition and discovery  ### Call for Ph.D. Research Plans The SIMPDA Ph.D. Seminar is a workshop for **Ph.D. students** from all over the world. The goal of the Seminar is to help students with their thesis and research plans by providing feedback and general advice on how to use their research results. Students interested in participating in the Seminar should submit an extended abstract describing their research. Submissions can relate to any aspect of Process Data: technical advances, usage and impact studies, policy analyses, social and institutional implications, theoretical contributions, interaction and design advances, innovative applications, and social implications. **Research plans** should be at most of 6 page long and should be organised following the following structure: * Abstract: summarises, in 5 line, the research aims and significance. * Research Question: defines what will be accomplished by eliciting the relevant the research questions. * Background: defines the background knowledge providing the 5 most relevant references (papers or books). * Significance: explains the relevance of the general topic and of the specific contribution. * Research design and methods: describes and motivates the method adopted focusing on: assumptions, solutions, data sources, validation of results, limitations of the approach. * Research stage: describes what the student has done so far. ### SIMPDA Ph.D. award A doctoral award will be given by the SIMPDA Ph.D. Jury to the best research plan submitted. ### CALL for Demonstrations Demonstrations showcase innovative technology and applications, allowing for sharing research work directly with colleagues in a high-visibility setting. Demonstration proposals should consist of a title, an extended abstract, and contact information for the authors, and should not exceed 12 pages. ### Submission Guidelines Contributions to all calls should be submitted electronically to the Symposium management system connecting to [http://www.easychair.org/conferences/?conf=simpda2020](http://www.easychair…. At least one author of each accepted paper is expected to participate in the conference and present his/her work. The papers submitted must be sent in PDF, following CCIS template and Springer paper preparation rules, see: [https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… > > **Registrations** are managed by the [ADBIS > system](http://eric.univ-lyon2.fr/adbis-tpdl-eda-2020/registration/) > ### Important Dates | Milestone | Deadline| | ------ | ------ | | Paper Submission| April 30, 2020| | Notification of Acceptance| May 05, 2020| | Submission of Camera Ready Papers| June 05 2020| | Symposium| August 25 2020| | Post-proceeding submissions| 30 January 2021| ## Organizers ### CHAIRS * Paolo Ceravolo, Università degli Studi di Milano, Italy * Maurice van Keulen, University of Twente, The Netherlands * Maria Teresa Gomez Lopez, University of Seville, Spain ### Program Committee - Alexandra Mazak - University of Vienna, Austria - Robert Singer - FH JOANNEUM, Austria - Manfred Reichert - University of Ulm, Germany - Schahram Dustdar - Vienna University of Technology, Austria - Helen Balinsky - Hewlett-Packard Laboratories, UK - Valentina Emilia Balas - University of Arad, Romania - Antonio Mana Gomez - Universidad de Malaga, Spain - Karima Boudaoud - Ecole Polytechnique de Nice Sophia Antipolis, France - Jan Mendling - Vienna University of Economics and Business, Austria - Peter Spyns - Flemish Government, Belgium - Mohamed Mosbah - University of Bordeaux - Chintan Mrit - University of Twente, The Netherlands - Fabrizio Maria Maggi - University of Tartu, Estonia - Pnina Soffer - University of Haifa, Israel - Matthias Weidlich - Imperial College, UK - Roland Rieke - Fraunhofer SIT, Germany - Edgar Weippl - TU Vienna, Austria - Benoit Depaire - University of Hasselt, Belgium - Angel Jesus - Varela University of Seville, Spain - Luisa Parody - University Loyola Andalucia, Spain - Antonia Azzini - Consorzio C2T, Italy - Jorge Cardoso - University of Coimbra, Spain - Carlos Fernandez-Llatas - Universitat Politecnica de Valencia, Spain - Chiara Di Francescomarino - Fondazione Bruno Kessler, Italy - Faiza Bukhsh - University of Twente, The Netherlands - Mirjana Pejiƒá Bach - University of Zagreb, Croatia - Tamara Quaranta - 40Labs, Italy - Anna Wilbik - Eindhoven University of Technology, The Netherlands - Yingqian Zhang - Eindhoven University of Technology, The Netherlands - Richard Chbeir - Univ. Pau & Pays Adour, France - Renata Medeiros - Eindhoven University of Technology, The Netherlands

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Fwd: [AISWorld] CfP Special Issue on "The Dark Sides of AI"-Electronic Markets
by Gustaf Neumann 07 Jun '20

07 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] CfP Special Issue on "The Dark Sides of AI"-Electronic Markets Date: Mon, 6 Apr 2020 13:03:21 +0800 (GMT+08:00) From: 牟健 <jian.mou(a)xidian.edu.cn> To: aisworld(a)lists.aisnet.org CC: xlshen(a)whu.edu.cn, a.zarifis(a)lboro.ac.uk, xiaolin(a)nuaa.edu.cn, xusen.cheng(a)gmail.com CfP Special Issue on "The Dark Sides of AI" Submission Deadline: October 31, 2020 Guest Editors Lin Xiao, Nanjing University of Aeronautics and Astronautics, China, xiaolin(at)nuaa.edu.cn Xiao-Liang Shen, Wuhan University, China, xlshen(at)whu.edu.cn Xusen Cheng, Renmin University of China, China, xusen.cheng(at)ruc.edu.cn Jian Mou, Xidian University & University of Ottawa, China, jian.mou(at)xidian.edu.cn Alex Zarifis, Loughborough University, UK, a.zarifis(at)lboro.ac.uk Theme Artificial intelligent (AI) is believed to bring about significant changes to networked digital business, and it facilitates smart services and digital transformation. In particular, AI is regarded among the current top five emerging technologies when organizations execute the digital first strategy. The Gartner survey showed that 59% of organizations are gathering information to build their AI strategies, while the remainder have already made progress in piloting or adopting AI solutions (Panetta, 2018), indicating that we are facing a new era of AI, which brings both unprecedented opportunities and emerging challenges. Academically, AI has attracted some initial attention in business research with respect to its possible applications in the field of information systems (e.g., Gursoy et al., 2019), tourism and hospitality (e.g., Li et al., 2019), marketing (e.g., Syam and Sharma, 2018), and financial management (e.g., Culkin and Das, 2017), to change the interaction between organizations and customers, gain new insights and obtain greater business values (e.g., increasing efficiency and effectiveness). Regardless of the numerous opportunities that AI offers, there are undoubtedly plentiful dark sides of AI that present enormous risks for individuals, organizations and society, which are considered as three most important dimensions for digitalization (Alt, 2018). From an individual perspective, the issues of AI discrimination have been reported by consumers in content recommendation and product recommendation in electronic markets. From an organizational perspective, the introduction of AI based technologies is likely to influence the profitability of companies, but in electronic markets the negative side of high-frequency trading has also been reported on. Organizations also face significant issues where the lack of a strategy relating to implications of AI could affect critical business areas and fail to address concerns from human workforce. From a societal perspective, AI could potentially widen the gap amongst emerging and developed markets as well as the rich and poor. The issue of potential job losses due to AI technologies has also received widespread attention. Therefore, considering the ubiquitous use of AI in digital business today, the significant negative or detrimental consequences of AI to individuals, organizations and society remain to be examined and are worthy of further research attention. We thus organize this special issue and encourage the potential authors to address this important but so far largely neglected topic – the dark sides of AI in the electronic markets contexts, including social networks, electronic commerce, digital platforms, customer relationship management, etc. Central issues and topics The goal of this special issue is to create a platform to address the “dark sides of AI” in digital networked business. Submissions adopting qualitative or quantitative research approaches, and from individual, organizational, and/or societal perspective are welcome. Possible contributions may include, but are not limited to, the following topics: The potential harms resulted from the widespread use of AI in electronic markets The detrimental effect of benefits and the costs of using AI in electronic markets Understanding how individuals, organizations and societies can minimize, prevent or respond to the dark side of AI in the digital business worlds Examining dark side outcomes, behaviors and practices that accidently or unintentionally emerge by using AI in electronic markets The ethics of using AI in electronic markets Approaches to lobbying, regulating and controlling dark side behaviors and practices associated with AI usage in electronic markets The trust, security and privacy issues in using AI in electronic markets The antecedents and consequences of dark side using AI in electronic markets Case studies of dark side of AI in electronic markets Behavioral, psychological, ethical, social and cultural issues related to the dark sides of AI in electronic markets Submission Electronic Markets is a Social Science Citation Index (SSCI)-listed journal (IF 3.553 in 2018) in the area of information systems. We encourage original contributions with a broad range of methodological approaches, including conceptual, qualitative and quantitative research. Please also consider position papers and case studies for this special issue. All papers should fit the journal scope (for more information, see www.electronicmarkets.org/about-em/scope/) and will undergo a double-blind peer-review process. Submissions must be made via the journal’s submission system and comply with the journal's formatting standards. The preferred average article length is approximately 8,000 words, excluding references. If you would like to discuss any aspect of this special issue, you may either contact the guest editors or the Editorial Office. References Alt, R. (2018). Electronic Markets and current general research. Electronic Markets, 28 (2), 123-128. Culkin, R. & Das, S. R. (2017). Machine learning in finance: The case of deep learning for option pricing. Journal of Investment Management, 15 (4), 92-100. Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019). Consumers acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 49, 157-169. Li, J., Bonn, M. A. & Ye, B. H. (2019). Hotel employee's artificial intelligence and robotics awareness and its impact on turnover intention: The moderating roles of perceived organizational support and competitive psychological climate. Tourism Management, 73, 172-181. Panetta, K. (2018). Gartner top 10 strategic technology trends for 2018. Accessed September 2019. Retrieved from: https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technol…. Syam, N. & Sharma, A. (2018). Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in sales research and practice. Industrial Marketing Management, 69, 135-146. You may find the call for paper from the official website: http://www.electronicmarkets.org/call-for-papers/single-view-for-cfp/datum/… If you have any questions, please do not hesitate to contact me. Best regards Jian Mou _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] International Conference on Machine learning and Cloud Computing (MLCL 2020)
by Gustaf Neumann 07 Jun '20

07 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] International Conference on Machine learning and Cloud Computing (MLCL 2020) Date: Tue, 5 May 2020 13:26:34 +0000 (UTC) From: s kareem <skareem29684(a)aol.com> Reply-To: s kareem <skareem29684(a)aol.com> International Conference on Machine learning and Cloud Computing (MLCL 2020)June 20~21, 2020, Dubai, UAEhttps://csita2020.org/mlcl/index.html ;ScopeInternational Conference on Machine learning and Cloud Computing (MLCL 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Cloud computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.This conference aims to bring together researchers and practitioners in all aspects of machine learning and cloud-centric and outsourced computing, including (but not limited to):Topics of interest include, but are not limited to, the following* Case Studies and Theories in Cloud Computing* Cloud Application, Infrastructure and Platforms* Cloud Applications in Vertical Industries* Cloud Based, Parallel Processing* Cloud Business* Cloud Computing Architecture* Cloud Storage and File Systems* Consolidation* Data storage and Management in Cloud Computing* Design Tool for Cloud Computing* Energy Management and Programming Environments* Location Based Services, Presence, Availability, and Locality* Machine Learning Applications* Machine Learning in knowledge-intensive systems* Machine Learning Methods and analysis* Machine Learning Problems* Machine Learning Trends* Maintenance and Management of Cloud Computing* Mobile Clouds for New Millennium, Mobile Devices* Networks within Cloud systems, the Storage Area, and to the Outside Virtualization in the Context of Cloud Computing* NoSQL Data Stores* Performance, SLA Management and Enforcement* Platforms* Resource Provisioning* Security Techniques for the Cloud* Service-Oriented Architecture in Cloud Computing* Social Clouds (Social Networks in the Cloud)* System Integration, Virtual Compute Clusters* The Open Cloud: Cloud Computing and Open Source* Virtualization on Platforms in the CloudPaper SubmissionAuthors a re invited to submit papers through the conference Submission System by May 10, 2020. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Important Dates* Submission Deadline :May 10, 2020* Authors Notification : June 05, 2020* Registration & camera -- Ready Paper Due :June 10, 2020Contact us : Here's where you can reach us : mlcl(a)csita2020.org (or) mlclconf(a)yahoo.comDue to the current COVID-19 pandemic, registered authors are now able to present their work through our online platformsRegards,MLCL 2020 Committee. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Springer publication. Scopus, Web of Science indexation.
by Gustaf Neumann 06 Jun '20

06 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] Springer publication. Scopus, Web of Science indexation. Date: Fri, 05 Jun 2020 18:10:50 +0300 From: smart(a)digscience.org To: aisworld(a)lists.aisnet.org Dear Author, You are cordially invited to submit your full paper of 6 - 10 pages. The 2020 International Conference on Comprehensible Science (ICCS 2020) will be held in Carthage, Tunisia, on October 30-31, 2020. Conference website is https://ics.events/iccs/. Early submissions are greatly appreciated. A single attending author may present a maximum of two papers onsite. The presentation, award submission and proceedings submission for a paper must all be in English. You may submit your paper online via Online Submission and Review System. Submitted papers (until 10-page limit) must comply with the requested format Template, be written in English, must not have been published before, not be under review for any other conference or publication. Authors might also consider running their paper through an unoriginal text detection software such as www.turnitin.com. The paper you are submitting must be your own work and you have obtained the appropriate consent from all co-authors to present the paper at this event. All submissions must be in Microsoft Word format. All submissions will be twice «blind» reviewed based on relevance, timeliness, originality, importance and clarity of expression with convincing argumentative. Besides globally relevant meetings with internationally representative program/scientific committees guaranteeing a strict peer-reviewing and paper selection process. After that you will receive an email notification containing an acceptance or rejection letter. This letter will contain a submission number that you should include in all further correspondences. Publication and Indexation Accepted and registered Papers will be published in the 2020 International Conference on Comprehensible Science Proceeding by Springer in a book of the Lecture Notes in Networks and Systems series, and then will be submitted to ISI Proceedings, SCOPUS, Google Scholar and other indexations. Three of five our previous books have already indexed by Scopus and Web of Science! Important Dates Submission: July 01, 2020 Notification: August 28, 2020 Registration: September 28, 2020 Event Dates: October 30-31, 2020 ICCS 2020 Convener. https://ics.events. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Decision Sciences Institute (DSI) Conference - Now Online
by Gustaf Neumann 06 Jun '20

06 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] Decision Sciences Institute (DSI) Conference - Now Online Date: Fri, 5 Jun 2020 15:10:56 +0000 From: Pankaj Setia <PSetia(a)walton.uark.edu> To: AIS Webmaster <webmaster(a)aisnet.org>, AISWorld(a)lists.aisnet.org <AISWorld(a)lists.aisnet.org>, aisworld-request(a)lists.aisnet.org <aisworld-request(a)lists.aisnet.org> Dear All The Decision Sciences Insitute's Information Technology Management Track has featured a list of interesting topics this year (below for description). When you submit, please choose 'Information Technology Management' as your track, and I will take care of the rest. The deadline is approaching and the conference ihas now moved online. Description The Information Technology Management track is focused on the organization, development, strategy, and leadership of digital innovations and artificially intelligent technologies. We welcome research that synthesizes conceptual frameworks integrating IS, economics, innovation, strategy, and business concepts to establish the role and value of IT in realizing business value, IT-enabled value chain transformation, transforming customer and employee dynamics with IT, the role of IT in altering industry structure and ushering in disruptive innovations and leveraging artificial intelligence and analytics. Potential topics include: * Artificially intelligent (AI) technologies and transformation of organizations * The digitization of processes, products, and services * Online marketplaces and IT-enabled disintermediation that transforms industry structures * Models of customer co-creation and co-innovation models enabled by IT * IT business strategy and performance * IT-enabled new product development * IT-enabled value chain innovations * Best practices and strategies to leverage artificially intelligent (AI) technologies * Leveraging ITs for Intra- and inter-firm collaboration * IT-enabled entrepreneurship * Open and democratic development of digital innovations * Platform models and network effects of ITs * Leveraging artificial intelligence (AI) and analytics for retail * IT architectures and governance models * Leveraging business analytics for transforming work * Neuroscientific basis for leveraging digital innovations Important Dates: * Full Paper Deadline: June 15th, 2020 * Abstract Deadline: June 30th, 2020 https://decisionsciences.org/annual-conferences/national-dsi/tracks-and-tra… Best Regards Pankaj ---------------------------------------------------------------------- Pankaj Setia Exec. Director of ISYS Ph.D. Program and Associate Professor Information Systems Department 224, Business Building University of Arkansas Fayetteville, AR- 72701 Author: Emotionalizing Retail psetia(a)walton.uark.edu<mailto:psetia@walton.uark.edu> http://waltoncollege.uark.edu/directory.asp?id=psetia Ph: 479-575-5653<tel:479-575-5653> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Contents: Information Systems Management, Special Issue, Vol. 37 Issue 3
by Gustaf Neumann 06 Jun '20

06 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] Contents: Information Systems Management, Special Issue, Vol. 37 Issue 3 Date: Fri, 5 Jun 2020 17:59:05 +0000 From: Janice Sipior <janice.sipior(a)villanova.edu> To: 'aisworld(a)lists.aisnet.org' <aisworld(a)lists.aisnet.org> Latest issue of Information Systems Management (ISM): Special Issue Volume 37, Issue 3, 2020 2018 Impact Factor: 2.042 http://www.tandfonline.com/uism Editor-in-Chief: Janice C. Sipior, Villanova University, USA Special Issue: "Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations" Special Issue Editors: Celina M. Olszak, University of Economics in Katowice, Poland Jozef Zurada, University of Louisville, Kentucky, USA SPECIAL ISSUE TOC 1. Data Philanthropy: Corporate Responsibility with Strategic Value by Jordana J. George, Jie (Kevin) Yan, and Dorothy E. Leidner 2. Data-Driven Intelligence on Innovation and Competition Patent Overlay Network Visualization and Analytics by Serhad Sarica, Bowen Yan, and Jianxi Luo 3. Towards an Understanding of Participants' Sustained Participation in Crowdsourcing Contests by Xuan Wang, Hanieh Javadi Khasraghi, and Helmut Schneider 4. Turning Data into Value - Exploring the Role of Synergy in Leveraging Value among Data by Johannes Weibl and Thomas Hess 5. Big Data in Capturing Business Value by Celina M. Olszak and Jozef Zurada CALL FOR PAPERS ISM places a high value on article content that communicates advanced practices to address current IS management challenges and innovative applications of new, but proven, information technologies. The methodological orientation is towards field research informed by published literature, but primarily based on case study, surveys, and field experiences of IS experts. Inquiries should be sent to: Janice C. Sipior, ism(a)villanova.edu Interested authors should consult the Instructions for Authors at: http://www.tandfonline.com/uism Manuscripts should be submitted via: http://mc.manuscriptcentral.com/uism _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CIST 2020 Submissions Open Monday June 8th
by Gustaf Neumann 06 Jun '20

06 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] CIST 2020 Submissions Open Monday June 8th Date: Fri, 5 Jun 2020 16:14:53 -0400 From: Lauren Rhue <lrhue(a)rhsmith.umd.edu> To: aisworld(a)lists.aisnet.org We look forward to your submissions to CIST 2020. Submissions can be made on EasyChair starting June 8th and will be accepted through June 29th at https://easychair.org/conferences/?conf=cist2020. Key Details: - Open for Submissions: June 8th - Submission Deadline: June 29th, 11:59 PM Eastern Daylight Time - Notification of Acceptance: August 17th - Conference Dates: November 7th-9th - Submission link: https://easychair.org/conferences/?conf=cist2020 - Conference Website: http://www.cistconf.org Additional details and submission instructions can be found on the conference website at http://www.cistconf.org. If you have questions or comments, please contact the CIST 2020 organizing committee at: cistconf2020(a)gmail.com -- *Lauren Rhue, Ph.D.* Assistant Professor of Information Systems Robert H. Smith School of Business 4324 Van Munching Hall 7621 Mowatt Lane University of Maryland College Park, MD USA 20742 lrhue(a)rhsmith.umd.edu _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: HICSS-54: Call For Papers
by Gustaf Neumann 06 Jun '20

06 Jun '20

-------- Forwarded Message -------- Subject: HICSS-54: Call For Papers Date: Sat, 6 Jun 2020 03:46:56 +0000 From: HICSS Conference Office <hicss(a)hawaii.edu> Reply-To: HICSS Conference Office <hicss(a)hawaii.edu> To: Gustaf Neumann <neumann(a)wu.ac.at> HICSS-54: Call For Papers Paper submission deadline is July 15, 11:59PM HST. View this email in your browser <https://mailchi.mp/hawaii/hicss-54-call-for-papers-pk96yqjckl?e=154d01d78a> <https://hicss.us8.list-manage.com/track/click?u=06bb829c64a57e2cc6ae346b6&i…> <https://hicss.us8.list-manage.com/track/click?u=06bb829c64a57e2cc6ae346b6&i…> All accepted papers will be published in the proceedings, even though not all of them will be presented due to ongoing health concerns and travel restrictions related to COVID-19. Tracks & Minitracks <https://hicss.us8.list-manage.com/track/click?u=06bb829c64a57e2cc6ae346b6&i…> Fast Track Opportunities <https://hicss.us8.list-manage.com/track/click?u=06bb829c64a57e2cc6ae346b6&i…> Author Instructions & Important Dates <https://hicss.us8.list-manage.com/track/click?u=06bb829c64a57e2cc6ae346b6&i…> Add #HICSS to Tweets to share your HICSS experiences through our SOCIAL WALL <https://hicss.us8.list-manage.com/track/click?u=06bb829c64a57e2cc6ae346b6&i…> /Copyright © 2020 Hawaii International Conference on System Sciences (HICSS), All rights reserved./ You received this email because of your current or past involvement with HICSS. Please pass along this email to those who might be interested in joining HICSS community. Thank you. *Our mailing address:* Hawaii International Conference on System Sciences (HICSS) Shidler College of Business University of Hawaii at Manoa 2404 Maile Way, D307, Honolulu, Hi 96822 Add us to your address book <https://hicss.us8.list-manage.com/vcard?u=06bb829c64a57e2cc6ae346b6&id=7e7f…> Unsubscribe from this list <https://hicss.us8.list-manage.com/unsubscribe?u=06bb829c64a57e2cc6ae346b6&i…>

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Fwd: [AISWorld] HICSS (2021) - Mini-Track: Judgement, Big Data-Analytics and Decision-making Track: Knowledge Innovation and Entrepreneurial Systems
by Gustaf Neumann 06 Jun '20

06 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] HICSS (2021) - Mini-Track: Judgement, Big Data-Analytics and Decision-making Track: Knowledge Innovation and Entrepreneurial Systems Date: Sat, 6 Jun 2020 17:26:47 +1200 From: Nazim Taskin <nazimtaskin(a)gmail.com> To: aisworld(a)lists.aisnet.org Dear colleagues, Call for Papers HICSS (2021) - Mini-Track: Judgement, Big Data-Analytics and Decision-making Track: Knowledge Innovation and Entrepreneurial Systems Gathering, analyzing and judging reliable data and information, and more importantly, transforming them into actionable knowledge is becoming increasingly critical in decision-making. Human judgement, based on experience and knowledge, plays an important role in all facets of decision-making, but may be incomplete in certain decision situations. The study of the transformation of data into useful information and eventually knowledge and wisdom through the use of increasingly sophisticated analytics for management decision making is an important, emerging field of research and deserves further study. This mini track welcomes empirical research adopting quantitative, qualitative and design science methodologies, as well as conceptual papers that offer theoretical insights into the human- and knowledge-centric aspects of analytics, big data and decision-making. While technology plays a centric role in the research relevant to this mini-track, overly technical or purely mathematical and algorithmic papers are out of scope of this mini-track. Potential topics that this mini-track will address are (but not limited to): · Knowledge innovation through emergent and convergent technologies (including big data and analytics) · Knowledge innovation and the use of big data and analytics for decision makers and entrepreneurs · Role of big data and analytics in leveraging intuition, judgment, and wisdom in organizations and society · Socio-technical theories and application in the big data era · Data-driven decision-making and the role of human input · Analysis of web and social media big data including text mining, sentiment analysis, and emotion analysis for decision making · Knowledge management, big data and analytics for formulating business strategy and government policy · Design, development, and use of KM and analytics technologies to support data-driven decisions, judgments, and strategies · Organizational barriers and enablers of the use of technology for KM and business analytics in managerial and strategic decision- and policy-making · Data visualization as knowledge tool for decision-making · Real time analysis of knowledge including wisdom of the crowds-based research · Data-knowledge transformation for strategic decision-making · Business analytics and big data challenges in managing data-driven operational, managerial, and strategic decision-making · Data Mining of tacit and explicit knowledge · Organizational culture and data-driven organizations · Issues concerning ethics, legality and security of data in judgment and decision making · Individual, Intra-, and inter-organizational KM and business analytics technologies Deadlines: · April 20: Paper submission begins · July 15: Paper submission deadline · August 23: Notification of Acceptance/Rejection · September 22: Deadline for authors to submit final manuscript for publication Conference website: https://hicss.hawaii.edu/ Conference Date: January 5-8, 2021 Mini-Track Chairs: Prof David J Pauleen (Primary Contact Person) Professor of Technology Management, School of Management, Massey University, Auckland, New Zealand d.pauleen(a)massey.ac.nz Dr Nazim Taskin Senior Lecturer School of Management, Massey University, Auckland, New Zealand n.taskin(a)massey.ac.nz Dr Kasuni Weerasinghe Lecturer Management Information Systems School of Management, Massey University, Auckland, New Zealand w.m.k.g.weerasinghe(a)massey.ac.nz Dr Ali Intezari Lecturer in Management School of Business, St. Lucia Campus, The University of Queensland, Australia a.intezari(a)business.uq.edu.au _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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