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Fwd: [AISWorld] 2nd Call For Book Chapters: Handbook of Research on Intelligent Analytics with Multi-Industry Applications
by Gustaf Neumann 11 Apr '20

11 Apr '20

-------- Forwarded Message -------- Subject: [AISWorld] 2nd Call For Book Chapters: Handbook of Research on Intelligent Analytics with Multi-Industry Applications Date: Sat, 11 Apr 2020 15:59:37 +1000 From: Zhaohao Sun <zhaohao.sun(a)gmail.com> To: aisworld(a)lists.aisnet.org BOOK: Handbook of Research on Intelligent Analytics with Multi-Industry Applications EDITED BY PROF. DR. ZHAOHAO SUN TO BE PUBLISHED BY IGI Global, USA https://www.igi-global.com/publish/call-for-papers/call-details/4539 or http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=96711 or https://www.researchgate.net/project/Intelligent-Analytics-with-Applications Introduction Intelligent analytics is an emerging scientific paradigm that integrates big data/information/knowledge/wisdom, analytics and artificial intelligence (AI) to provide smart services to our work, business, life, industry and society. From a fundamental perspective, intelligent analytics at least includes intelligent big data analytics, intelligent big information analytics, intelligent big knowledge analytics, intelligent big wisdom analytics. Intelligent analytics has been revolutionizing our work, life, business, management, organization and industry. It becomes disruptive technology for healthcare, web services, service computing, cloud computing, 5G development, blockchain and social networking computing. However, many fundamental, technological and managerial issues in developing and applying intelligent analytics with multi-industry applications remain open. For example, what is the foundation of intelligent analytics? what are the elements of intelligent analytics? What are the real big characteristics of intelligent analytics? How can apply intelligent analytics to improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation and industries? What is the effect of intelligent analytics on business, management, the Internet of things, cloud computing, blockchain, service and society? This book will address these issues by exploring the cutting-edge theory, technologies and methodologies of intelligent analytics with multi-industry applications and emphasize integration of AI, business intelligence, big data/information/knowledge/wisdom, and analytics from a perspective of computing, service and management. This book also provides applications of the proposed theory, technologies and methodologies of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud and service) commerce and services, healthcare, the Internet of things, sharing economy, cloud computing, blockchain, and Industry 4.0 in the real world. This book titled “Intelligent Analytics with Multi-industry Applications” is the first book to reveal the cutting-edge theory, technologies, methodologies of intelligent analytics with applications. This is also the first book demonstrating that intelligent analytics is an important enabler for developing cloud computing, 5G, blockchains, digital transformation, business, management, governance and services in multi-industry applications. The proposed approaches will facilitate research, development and applications of intelligent analytics, big data/information/knowledge/wisdom analytics, data science, digital transformation, e-business and web service, service computing, cloud computing and social computing. Aims, Scope and Target Audience This book’s primary aim is to convey the foundations, technologies, thoughts, and methods of intelligent analytics with multi-industry applications to scientists, engineers, educators and university students, business, service and management professionals, policy makers and decision makers and others who have interest in big data, big information, big knowledge and big intelligence and wisdom, intelligent analytics, AI, cloud computing, the Internet of things (IoT), digital transformation, SMACS intelligence and computing, commerce and service as well as data science, information science, and knowledge science. Primary audiences for this book are undergraduate, postgraduate students and variety of professionals in the fields of big data, data science, information science and technology, knowledge technology and engineering, intelligence science, analytics, AI, computing, commerce, business, services, management and government. The variety of readers in the fields of government, consulting, marketing, business and trade as well as the readers from all the social strata can also be benefited from this book to improve understanding of the cutting-edge theory, technologies, methodologies and applications of intelligent analytics with applications. Papers as book chapters of all theoretical and technological approaches, and applications of intelligent analytics are welcome. Submissions that cross multiple disciplines such as management, service, business, artificial intelligence, intelligent systems, data science, optimization, statistics, information systems, decision sciences, and industries to develop theory and provide technologies and applications that could move theory and practice forward in intelligent analytics, are especially encouraged. Topics Topics of contributions to this book include four parts: foundations, technologies, applications and emerging technologies and applications of intelligent analytics as follows. Part I. Foundations of intelligent analytics Topics: fundamental concepts, models/architectures, frameworks/schemes or foundations for developing, operating, evaluating, managing intelligent analytics. The following topics might also include, but not limited to. • Intelligent analytics as a Science and Technology (IAaaST) • Big Data science • Big Data intelligence • Intelligent Analytics for big data, information, knowledge, intelligence and wisdom • Intelligent analytics in business ecosystems • Decision science for intelligent analytics • Computing and foundations of intelligent analytics • New computational models for Big Data • Mathematical fundamentals of intelligent Big Data analytics • Fuzzy logic approach to intelligent analytics • Graph theory for intelligent analytics • ICT fundamentals for analytics • Intelligent visualization techniques for analytics • Statistical modelling for intelligent analytics • Machine learning for intelligent analytics • Optimization techniques for intelligent analytics • Data mining for intelligent analytics • Business models for intelligent analytics • Real-time algorithms for intelligent analytics • Computing thinking for intelligent analytics Part II. Technologies for intelligent analytics Topics: Technologies for developing intelligent analytics might also include the following topics, but not limited to. * Intelligent Analytics as a System (IAaaSy) * Intelligent Analytics as a Service (IAaaSe) * Intelligent Analytics as a Management (IAaaM) * Intelligent Analytics as a Business (IAaaB) * Rule-based systems, * Machine learning, * Multi-agent systems, * Neural networks systems, * Fuzzy logic, * Cased-based reasoning, * Genetic algorithms, * Data mining algorithms, * Intelligent agents, * Intelligent user interfaces * Web technologies, * Intelligent big data/information/knowledge technologies, * Intelligent service technologies, * Social networking technologies, * Intelligent decision technologies, * Intelligent management technologies and business technologies. * Machine-to-machine communication Part III. Multi-industry Applications of intelligent analytics Topics: cases for using foundations and technologies in Part I, II in multi-industry applications and various domains such as digital transformation, blockchain, 5G, SMACS computing, commerce and services, financial services, legal services, healthcare services, educational services, and military services taking into account intelligent diagnostic, descriptive, predictive and prescriptive analytics. The following topics might also include, but not limited to. * Intelligent Analytics as an application * Intelligent analytics with applications * Intelligent analytics-based innovation and entrepreneurship * Intelligent analytics in business ecosystems * Intelligent analytics with public and open data * Intelligent analytics and markets * Intelligent analytics for e-commerce * Intelligent analytics for cloud computing * Intelligent analytics for IoT * Intelligent analytics for blockchain * Intelligent analytics for 5G applications * Intelligent analytics in business decision making * Intelligent analytics in healthcare * Marketing Analytics * Intelligent analytics in banking industry * Intelligent analytics in social networking services * Intelligent analytics for Big Data, information, knowledge and intelligence * Cybersecurity and privacy issues in Intelligent analytics. * Intelligent analytics for management * Intelligent analytics for risk management * Organization analytics Part IV. Emerging technologies and applications for intelligent analytics Topics: Emerging technologies, methodologies, and applications for intelligent analytics. The following topics might also include, but not limited to * Emergent AI-based technologies * Emergent intelligent analytics technologies * Challenges for intelligent big data analytics * Challenges for intelligent big information analytics * Challenges for intelligent big knowledge analytics * Challenges for intelligent analytics research * Challenges for intelligent analytics applications * Challenges for intelligent analytics tools Submission Procedure Please submit a brief summary (abstract) consisting of title and round 150-200 words for the proposed chapter clearly identifying the main objectives of your contribution online by clicking “propose a chapter” at https://www.igi-global.com/publish/call-for-papers/call-details/4539 or to the editor at zhaohao.sun(a)gmail.com by April 30, 2020. Authors of the accepted proposals will be notified and provided with detailed guidelines. Full chapters are to be submitted by May 30, 2020. Submission Format and Evaluation This book will be developed using the eEditorial Discovery™ online submission manager. Therefore, all manuscripts of book chapter must be submitted online using https://www.igi-global.com/submission/submit-chapter/?projectid=8480e8ad-d6… Every book chapter submission should consist of 8,000-12,000 words, and be structured into sections including Abstract, Introduction, background (or related work), main sections, future research directions, conclusion, references. Every book chapter must be submitted in Microsoft® Word, and be typewritten in English in APA style based on “manage source” and “insert citation” function. Every book chapter submission is original. Only ORIGINAL articles will be accepted for publication by IGI-Global. Upon acceptance of your article, you will be required to sign a warranty that your article is original and has NOT been submitted for publication or published elsewhere. All chapter submissions undergo a double-blind peer-review using the eEditorial Discovery™ online submission manager. Conditioned chapters will have an additional opportunity for being improved and evaluated. In the second evaluation, a definitive editorial decision among: accepted or rejected will be reported. All of the accepted chapters must be submitted according to the Editorial publishing format rules timely. Instructions for authors can be downloaded at: http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf. The final chapters are copy edited/proofed by the authors prior to submission, following the IGI Global chapter formatting and submission guidelines. Important Dates * April 30, 2020: Proposal Submission Deadline * May 10, 2020: Notification of Acceptance * May 30, 2020: Full Chapter Submission * July 8, 2020: Review Results Returned * August 19, 2020: Final Acceptance Notification * September 2, 2020: Final Chapter Submission. * September – November 2020: estimated publishing period. Editor Information Prof. Dr. Zhaohao Sun, Ph.D. Editor of Handbook of Research on Intelligent Analytics with Multi-Industry Applications Research Centre of Big Data Analytics and Intelligent Systems (BAIS) Department of Business Studies PNG University of Technology Morobe, PNG & Federation University Australia zhaohao.sun(a)gmail.com; z.sun(a)federation.edu.au _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP – Digital and Social Media in Enterprise Minitrack @HICSS 2021
by Gustaf Neumann 08 Apr '20

08 Apr '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP – Digital and Social Media in Enterprise Minitrack @HICSS 2021 Date: Wed, 8 Apr 2020 16:26:20 +0000 From: Nancy Deng <ndeng(a)csudh.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> CC: Wang, David <david.wang(a)depaul.edu>, Gonzalez, Ester <esgonzalez(a)Fullerton.edu> [AISWorld] CFP – Digital and Social Media in Enterprise Minitrack @HICSS 2021 Hawaii International Conference on System Sciences- HICSS-54 (January 5-8, 2021, Hyatt Kauai, Hawaii) Minitrack: Digital and Social Media in Enterprise Track: Digital and Social Media Scope Digital and social media (DSM) have transformed the workplace in organizations. This minitrack focuses on the internal and external organizational use of digital and social media to facilitate work processes (e.g., communication, collaboration and socialization) inclusive of both business (for-profit) and non-profit organizations. Hence, research of this minitrack lies at the intersection of multiple disciplines, namely Science & Technology, Organization Science, Marketing, and Behavioral Science. Topics The Call for Papers (CFP) welcomes theoretical and empirical studies addressing organizational, managerial, technical, and behavioral perspectives on digital and social media by enterprises. Potential issues and topics include, but are not limited to: *Digital and social media affordances *Digitization of work and its impact on work process *Digital platform and work/job design *Digital and social media use & electronic document management *Digital and social media use & employee work-life balance *Digital and social media use & Information security *Effects (both positive and negative) of digital and social media at workplace *Methodologies for studying digital and social media in enterprise *Organizational management practices associated with digital and social media use *Organizational policies on digital and social media use *New theories to describe and explain the phenomenon of using digital and social media in workplace *Organizational memory in the era of social and digital technologies *Roles and responsibilities of IS departments in the use of and support for digital and social media *The use of social media & fundraising or donations *The use of social media & public perception management *The use of social media & enterprise strategy Important Dates June 15, 2020: Paper Submission Deadline (11:59 pm HST) August 17, 2020: Notification of Acceptance/Rejection September 4, 2020: Deadline for A-M Authors to Submit Revised Manuscript for Review September 22, 2020: Deadline for Authors to Submit Final Manuscript for Publication October 1, 2020: Deadline for at least one author to register for HICSS-54 January 5-8, 2021: HICSS-54 at Hyatt Kauai, Hawaii Minitrack Co-Chairs Nancy Deng (Primary Contact) |ndeng(a)csudh.edu Ester S. Gonzalez | esgonzalez(a)fullerton.edu Tawei (David) Wang | david.wang(a)depaul.edu https://hicss.hawaii.edu/tracks-54/digital-and-social-media/#digital-and-so… _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP - The Bright Side and the Dark Side of Digital Health, Internet Research (SSCI, ABDC 'A' JCR Q1)
by Gustaf Neumann 08 Apr '20

08 Apr '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP - The Bright Side and the Dark Side of Digital Health, Internet Research (SSCI, ABDC 'A' JCR Q1) Date: Thu, 9 Apr 2020 00:02:47 +0800 From: Young Hoon Chang <younghoonchang(a)gmail.com> To: AISWorld(a)lists.aisnet.org Internet Research Call for Papers The Bright Side and the Dark Side of Digital Health （ https://www.emeraldgrouppublishing.com/products/journals/call_for_papers.ht… ） Submission due: September 1, 2020 Guest Editors Zhijun Yan - Beijing Institute of Technology, China, yanzhijun(a)bit.edu.cn Roberta Bernardi - University of Bristol, UK, roberta.bernardi(a)bristol.ac.uk Nina (Ni) Huang - Arizona State University, US, nhuang6(a)asu.edu Younghoon Chang - Beijing Institute of Technology, China, younghoonchang(a)bit.edu.cn Overview of Special Issue Digital technology has been transforming how individuals, organizations, and societies use information to improve their decision making on their daily lives and daily operations. In recent years, the healthcare industry has also actively engaged in the adoption of digital technology and enabled the formation of digital health. The digital health covers lots of advanced technologies, such as mobile health (mHealth), health information technology (HIT), wearable devices, telehealth and telemedicine, health data analytics and personalized medicine (Lupton 2018). These technologies offer new exciting opportunities to improve medical outcomes, enhance efficiency and balance health resources. In particular, digital health can better collect, process and analyze health-related information, and provide decision support for patients, doctors, healthcare organizations, public health management and medical research (Guha and Kumar 2018). There are many positive and negative issues associated with the use of digital health by these stakeholders. On the one hand, digital health can empower patients to make better decisions about their own health and provide new options for facilitating prevention, early diagnosis, surveillance, management and prediction of chronic conditions outside traditional healthcare settings (Lin et al. 2017). Doctors can also get a more holistic view of patient health through access to data and improve quality of care (Lin et al. 2019). Pharmaceutical companies and digital health companies can also benefit from patient-generated knowledge for the advancement of medical research (Kallinikos and Tempini 2014) and the design of personalized healthcare interventions (Bernardi 2019). On the other hand, the integration of digital technology in the healthcare industry presents risks such as the spread of misinformation (e.g. anti-vax communities, Doty 2015), the disclosure of patients' privacy that could be used by health insurance companies to make discriminatory pricing (McFall and Moor 2018), increased doctors' technical anxiety and slow acceptance of digital health innovation (Bernardi and Exworthy 2019), and health inequalities due to the digital exclusion of patients (Latulippe et al. 2017; Halford and Savage 2010). The healthcare industry is one of the largest and also one of the most important industries for citizens’ wellbeing. Addressing the complexities of today’s various negative and positive healthcare issues requires more than one perspective and needs more interdisciplinary collaboration and research. The rapid development of advanced technologies and methodologies such as social media, Internet of things (IoT) data analytics, machine learning, artificial intelligence (AI) brings lots of opportunities to handle the complicated problems in the healthcare industry. It makes it possible to improve people’s health conditions smartly and comfortably. However, the adoption of digital technology in health care usually lags behind other industries, as some major technological and managerial obstacles still remain (Bunduchi et al. 2015). Obstacles include the lack of health data integration, data overload issues, data privacy and security, and limited or inefficient data visualization (Agarwal et al. 2010). At the same time, academics need to address the issues related to the dark side and potential risks of digital health. This special issue aims to serve as a forum in which healthcare, computer science, management and social science scholars can come together to discuss new emerging issues related to the bright side and the dark side of digital health. It invites submissions from a variety of methodological, theoretical, and multidisciplinary perspectives. Theoretical work that engages critically with the debate about the bright and dark sides of digital health is also welcome. In bringing technical, behavioral, clinical, and managerial perspectives together, this special issue hopes to generate new insights into the design, adoption, utilization, and management of digital health as well as an understanding of its risks and adverse consequences for individuals, organizations, and societies. Topics of interest include, but are not limited to: • Participating behavior of digital health • Knowledge sharing and knowledge seeking of online health communities • Knowledge discovery and decision support based on online health communities and clinical decision-making systems • Social and economic return of digital health • Data privacy, trust and security in digital health • Fake information and information fraud in online health communities • Online-offline data integration and analytics • Organizational, operational, clinical and financial implications of digital health • Health, social and economic impact of digital health • Big data analytics and artificial intelligence application • Theories, models and classification frameworks that shed light on the bright side and dark side of digital health • Methods for studying the bright side and dark side of digital health and its impact on individuals, communities (societies) and organizations • Understanding how individuals, communities and organizations can minimize, prevent or respond to the dark side of digital health • Understanding what motivates individuals, communities and organizations to deliberately engage in digital health • Examining the dark side (outcomes, behaviors and practices) that accidently or unintentionally emerge in digital health • The ethics of the dark sides of digital health (especially with recent AI developments and uses in digital health) • Region, sector and industry-focused studies on the bright side and dark side of digital health • Economic impact of digital health on the healthcare industry • The effects of digital health on epidemic or pandemic outbreaks Important dates • Submission due: September 1, 2020 • 1st round review decision: November 30, 2020 • Revised submission due: December 31, 2020 • 2nd round final review decision: January 31, 2021 • Publication: 2021 Special Event – DHA 2020 The guest-editors organize a conference “2nd International Conference on Digital Health and Medical Analysis” in Beijing Institute of Technology on 1-2 July 2020 (https://www.dha2020.org/). Potential authors are encouraged to present their papers in this conference, which provides a good opportunity to receive constructive feedback and suggestions for this special issue. Submission Details Internet Research is an international, refereed journal and listed by Social Science Citation Index (SSCI) and Science Citation Index Expanded (SCIE) (IF 4.109 in 2018). To view the author guidelines for this journal, please visit: https://www.emeraldgrouppublishing.com/products/journals/author_guidelines.… Please submit your manuscript via our review website: https://mc.manuscriptcentral.com/intr Editorial Review Board Spyros Angelopoulos - Tilburg University, Netherlands Petros Chamakiotis - ESCP Business School (Madrid), Spain Ben Choi - Nanyang Technological University, Singapore Qianzhou Du - Nanjing University, China Juyeon Ham - Beijing Institute of Technology, China Kevin Yili Hong - Arizona State University, USA Liqiang Huang - Zhejiang University, China Yi-cheng Ku - Fu Jen Catholic University, Taiwan One-Ki Daniel Lee - University of Massachusetts Boston, USA Weizi Li - University of Reading, UK Christian Libaque-Saenz - Universidad del Pacífico, Peru Benjamin Marent - University of Sussex, UK Yang Pan - Louisiana State University, USA Jae Hyun Park - Kyoto Institute of Technology, Japan. Dimitra Petrakaki - University of Sussex, UK Niccolò Tempini - University of Exeter, UK Yichuan Wang - University of Sheffield, UK Siew Fan Wong - Sunway University, Malaysia Jiayin Zhang - Tsinghua University, China Minhao Zhang - University of Bristol, UK Xiaofei Zhang - Nankai University, China Kang Zhao - University of Iowa, USA Yuxiang Zhao - Nanjing University of Science & Technology, China _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: CyberC 2020 CFP
by Gustaf Neumann 08 Apr '20

08 Apr '20

-------- Forwarded Message -------- Subject: CyberC 2020 CFP Date: 8 Apr 2020 01:17:37 -0400 From: CyberC <cfp(a)cyberc.org> To: Gustaf.Neumann(a)wu-wien.ac.at *COVID-19 Update*: CyberC 2020 will be held physically in Chongqing as scheduled from 17 to 19, September 2020. The organizing team is closely monitoring the development of the COVID-19 situation. In case of travel restrictions that prohibit physical appearance, video presentations will be accepted as an alternative of presentation. Conference Proceeding will be published on time (IEEE eXplore, EI, and others). Welcome to visit the Mountain city of Chongqing. The 12th Int. Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Chongqing, China, September 17 - 19, 2020 Web: www.Cyberc.org <http://www.Cyberc.org> *Publication*: IEEE (EI & Explore), Journal of Sensors <https://www.mdpi.com/journal/sensors/special_issues/IoT_CyberC_2018> (Selected Papers) *Submission Due Date*: June 21, 2020 *2020 Theme*: Cyber Computing of AI/ML, Blockchain, Big Data, Image, and 6G Technical Co-sponsors: IEEE, IEEE Computer Society, IEEE TCSIM (Technical Committee on Simulation), IEEE Communications Society (ComSoc) Technical Committee on Big Data (TCBD) Organizer: Chongqing University of Posts and Telecommunications Co-hosted by: Nanjing University of Posts & Telecommunications, Zhengzhou University; Chongqing Institute of Engineering, Chongqing Sponsored by: ZTE, Huawei, AT&T, InfoBeyond, Tech Mahindra *Scopes*: CyberC promotes an in-depth exploration of the most recent research and developments in the fields of AI, Blockchain, big data, distributed computing, clouds, cybersecurity, image computing, mobile computing, Internet of Things, and other cyber-based technologies. Professors, scientists, engineers, and students in these areas are encouraged to participate. CyberC also welcomes industrial participation. *Summit*: CyberC 2020 co-hosts Emerging Technology Summit (AI, Blockchain, Big Data, Image, 6G) forum that emphasizes innovative and state-of-art R&D, industry products, specifications, showcases, tutorial, technical transitions, and markets. *Cyber network and cybersecurity* * Cyber network, configuration, cloud, IoT, and wireless communications * DDoS, Ransomware, and cybersecurity attacks and detection * Multistage attacks, data security, AI and intrusion detection * Risk assessment, management, and network monitoring * Authentication and access control * Learning model for attack behavior, prediction, and game theory * IoT and security * Deploying machine learning and AI to enhance security and privacy * Edge computing and its security * Blockchain theory and its applications (smart grid, healthcare, ICS, etc.) * Deploying machine learning and AI to enhance security and privacy * Computer security, standardization, compliance and forensics * Moving target defensing, image and target detection * Network and cyberspace security * Smart city, power grid, smart grid, and security *Blockchain and Big Data* * Blockchain and its Applications * Big data algorithms, models, and systems for big data * AI, Neural Network, Deep Learning * Machine learning, and big data architecture and analytics * Big data software design, middleware and analytics * High-performance computing, and intensive data networks * Massive data streaming, scalable computing, big data task deployments * Cloud and high-performance computing for big data * Data retrieval, storage, query, communications, and database * Data preservation, filter, provenance, and assurance * Data security, protection, integrity and privacy standards and policies * Graph mining and opinion mining, and distributed data mining * Data streaming, multimedia, stream, or web mining * Social media and social network analytics * Security and information assurance for Big Data * Blockchain applications on edge computing, industry 4.0, IoT and smart cities * Edge computing and blockchain for industry * Edge computing and blockchain for Supply Chain Brain * Edge computing algorithms *Cyber and Distributed Computing* * Authentication, trust, privacy and other Cybersecurity issues * Parallel and distributed algorithms, resource allocation, and load-balance * Cloud computing, mobile cloud, mobility-aware cloud data/streams * SOA, web services, and mobile services (software, infrastructure) * Web services and internet computing * Web-caching, content delivery systems and data distribution systems * Distributed applications, modeling language, and software engineering * Pervasive/ubiquitous computing and intelligence *Cyber Image and Surveillance * * Texture Image Representation and Classification * Computational Imaging * Image Processing * Image & Video Systems and Applications * Deep Learning for Images and Videos * Color, Multispectral, and Hyperspectral Imaging * Medical Image Computing * Deep learning models for medical image analysis * Image Computing * Sensing, Representation, Modeling, and Registration * Stereoscopic, Multiview, and 3D Processing * Biometrics, Forensics, and Security *6G and Mobile Computing * * Wireless networks, mesh networks, MIMO and 6G * Industry control network, networking theory and algorithms * Wireless embedded sensor systems, body sensor, smart cities & security * Cognitive radio and SDR * Future generation communications and pervasive computing * Peer-to-peer network computing and overlaying networks * Directional antenna and networking * FDMA/OFDMA modulations, synchronization, and power optimization * Mobile IP and Internet technology * Key, attacking models, privacy, confidentiality & security in mobile networks * Communication, services, middleware, and multimedia on wireless networks * QoS, reliability, performance, and communication theory * Wireless network simulations, implementation, and applications *Cyber Computing and Clouds* * Autonomic, real-time and self-organizing clouds * Architectural models for public and private cloud computing * Cloud resource management and allocation * Utility models and service pricing * New parallel / concurrent programming models for cloud computing * Scientific computation and other applications in the cloud * Mobility modeling, management and measurement for mobile clouds * Mobile multimedia content delivery, transferring, and migration * Content delivery networks using storage clouds * User Experience and Cyber Security * Performance evaluation, measurement and optimization * Communications and network security * Information security, software security, system security, or cryptography * Tools, test-bed, simulations, and experimental environments * Collaborative and cooperative environments * QoS, Autonomic, reliability, and fault-tolerance *Co-hosted Workshops:* * *Big Data & AI*: The 7th International Workshop on Big Data and Artificial Intelligence, 2020 * *Security*: The 8th workshop on Cyber Security and Privacy, 2020 * *Blockchain 2020*: The 2rd workshop on Blockchain, 2020 * *Cyber Image*: The First International Workshop Cyber Image, 2020 *INFORMATION FOR AUTHORS* The CyberC 2020 Proceedings will be published by IEEE CPS. Full papers for CyberC 2020 must not exceed 10 pages of IEEE 2-column format, while short papers must not exceed 4 pages. Please visit the conference web site at http://www.cyberc.org for precise formatting and submission instructions. *IMPORTANT DATES* Submission deadline for full (10-page) and/or short (4-page) papers: *June21**, 2020* Notification of acceptance: July 12, 2020 Registration and Camera-ready: August 1, 2020 *SPECIAL ISSUE * CyberC 2020 provides a special channel for you to submit your extended version to Journal of Sensors by MDPI. After submission of a CyberC version, you can submit an extended version to Journal *all the time* before December 30 2020: First submitted, first reviewed. Other journal information can be found at http://cyberc.org/Callforpapers/SpecialIssue *HONORABLE CO-CHAIRS* David Lu, AT&T, USA Guanghong Xu, Chongqing University of Posts and Telecommunications *GENERAL CO-CHAIRS* Bin Xie, InfoBeyond Technology, USA Ying Qian, Chongqing University of Posts and Telecommunications *SUMMIT/KEYNOTE CO-CHAIRS* Chi-Ming Chen, AT&T Labs, USA Chonggang Wang, InterDigital, USA Guangxia Xu - Chongqing University of Posts and Telecommunications *TPC CO-CHAIRS* Jin Dai - Chongqing University of Posts and Telecommunications Xiaolong Xu, Nanjing Univ. of Posts and Tele., China Ning Wang, Zhenzhou University, China Xin Chen, Chongqing Institute of Engineering, China *WORKSHOP CO-CHAIRS* Weifeng Lu, Nanjing Univ. of Posts and Tele., China David P. Perry, InfoBeond Technology *PUBLICITY CO-CHAIRS* Zheng Yan, XiDian University, China Wei Chen, Chongqing Institute of Engineering *PUBLICATION CHAIR* Bin Xie, InfoBeyond Technology LLC *LOCAL CO-CHAIRS* Ying Huang, Chongqing University of Posts and Telecommunications *FINANCIAL CO-CHAIRS* Sanjuli Agrawal, Indiana University Southeast, USA Yingbing Yu, Austin Peay State University, USA *STEERING COMMITTEE* Anup Kumar (Chair) - University of Louisville, USA Suryadip Chakraborty - Johnson C. Smith University, USA Chi-Ming Chen - AT&T Labs, USA Chih-Lin I - China Mobile, China Yang Yang - ShanghaiTech University, China Jiangzhou Wang - University of Kent, UK Tzyh-Jong (TJ) Wang - AT&T Labs, USA *TECHNICAL PROGRAM COMMITTEE* See www.cyberc.org <http://www.cyberc.org> *AUTHOR CONTACTS* Please contact papers(a)cyberc.org <mailto:papers@cyberc.org> if you have any issues Note: You are receiving this email as a courtesy from CyberC. Please know that you can be removed from our mailing list at any time by Reply a message with a title of "Unsubscribe"

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Fwd: [AISWorld] CfP The 13th Workshop on Social and Human Aspects of Business Process Management (BPMS2’20)
by Gustaf Neumann 07 Apr '20

07 Apr '20

-------- Forwarded Message -------- Subject: [AISWorld] CfP The 13th Workshop on Social and Human Aspects of Business Process Management (BPMS2’20) Date: Tue, 7 Apr 2020 17:37:10 +0000 From: Rainer Schmidt <Rainer.Schmidt(a)live.com> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> The 13th Workshop on Social and Human Aspects of Business Process Management (BPMS2’20) Call for Papers As part of BPM 2020 18th International Conference on Business Process Management September 14, 2020, Seville, Spain Deadline for workshop paper submissions: May 29, 2020 Workshop Theme The involvement of human aspects into Business Process Management takes place both on a social and individual level. Social information systems such as social media, Enterprise 2.0, and social platforms are spreading quickly in society, organizations, and economics. Enterprises use social information systems to improve their business processes and create new business models. The integration of business process management and social information systems becomes more and more widespread. New approaches for using social information systems in combination with business process management appear frequently. Social information systems are used both in external and internal business processes. Companies can co-create products and services, e.g., companies integrate customers into product development to capture ideas and features. Thus, communication with the customer is increasingly bi-directional. The integration of business process management and social information systems enables the creation of new business models using social platforms. Social platforms enable the creation of cross-side network effects and therefore called two- or multi-sided markets . Prominent examples are Tripdadvisor, UBER, and AirBnB. By using the value-creating mechanisms of social information systems, business models became possible, which were not realizable before. E.g. the AirBnB uses a crowdsourcing model for quality control by using users’ reviews of apartments. In this way, a quality assessment of products and services became possible that was too costly so far. Social information systems also create new possibilities to enhance internal business processes by improving the exchange of knowledge and information, to speed up decisions, etc. Social information systems enable value-creating interactions such as weak ties, social production, egalitarianism. These value-creating interactions open up new possibilities and potentials for the design of processes. Weak ties enable the flexible integration of process participants, social production paves the way for the bottom-up definition of business processes, and egalitarian decisions change how decisions are made in business processes. The use of value-creating interactions is tightly intertwined with new forms of involvement of human beings into business process management. Human aspects complement the social perspective on business process management. The fact that more and more enterprises are using business process management implies that the human individual is involved in a multitude of business processes. Individuals must cope with multiple process contexts and thus must administer data appropriately. Digital assistants such as Alex integrate individuals in processes that could not interact with conventional computers. In this way, new forms of interaction between processes and humans arise. Furthermore, individuals must integrate the external business processes into their work environment or even to couple several external business processes. Human aspects of business process management relate to the individual who creates a process model, to the communication among people, during and after the process execution, and to the social process of collaborative modeling. They also relate to the interaction / collaboration / coordination / cooperation that should be implemented in the business process or to specific human-related aspects of the business process itself and their representations in models. Before this background, the goal of the workshop is to explore how social information systems integrate with business process management, and how business process management may profit from this integration. Furthermore, the workshop investigates the human aspects introduced into Business Process Management by involving human users. Examples are the use of crowdsourced knowledge and tasks, the need for new user interfaces, e.g. augmented reality and voice bots. The workshop will discuss three topics. Social Business Process Management, Social Business and Platforms, and Human Aspects of Business Process Management. Social Business Process Management is the use of Social information systems to support one or multiple phases of the business process life cycle. 1. Social Business Process Management (SBPM) - Social information systems in the BPM lifecycle e.g. Design, Deployment, Operation, and Evaluation - BPM methods and paradigms to cope with Social information systems - Influence of weak ties, social production, egalitarianism and mutual service provisioning on BPM - Trust and reputation in business processes management carried through Social information systems - Influence of weak ties, social production, egalitarianism and mutual service provisioning in the design and management of business processes? - Integration of Social information systems with WFMS or other business process support systems? - Conceptual modelling for knowledge intensive and social business processes? 2. Social Business and Social Platforms: Social information systems supporting business processes - New opportunities offered by Social information systems for the support of business processes - Social platforms and their support for business processes and new business models - Value (co-)creation in social business and social platforms - Sociality requirements of business processes according to their nature (predictable/non predictable; production/collaborative/ad hoc) - Use of Wikis, Blogs etc. to support business processes - Fitting between types of Social information systems and phases of the BPM lifecycle - New trends in business knowledge modelling leveraged by social production 3. Human Aspects of Business Process Management - Concepts, technologies, and services to support individuals acting in business processes - Digital Assistants such as Google, Siri etc. in business process management and business processes - Human aspects of business process management - Human-centric business processes - Human resource management in business processes (workloads, skills, preferences, affinities, context, mobility, etc …) Goal Based on the twelve previous successful BPMS2 workshops since 2008, the goal of the BPMS2’20 workshop is to promote the integration of business process management with social information systems and social software and to enlarge the community pursuing the theme. Workshop paper format Position papers of up to 2500 words are sought. Position papers that raise relevant questions, or describe successful or unsuccessful practice, or describe experience will all be welcome. Position papers will be assigned a 20-minute presentation. Short papers of up to 1000 words can also be submitted and will be assigned a 10-minute presentation. Submission Prospective authors are invited to submit papers for presentation in any of the areas listed above. Only papers in English will be accepted. The length of full papers must not exceed 12 pages (There is no possibility to buy additional pages). Position papers and tool reports should be no longer than 6 pages. Papers should be submitted in the new LNBIP format (http://www.springer.com/computer/lncs?SGWID=0-164-7-487211-0). Papers have to present original research contributions not concurrently submitted elsewhere. The title page must contain a short abstract, a classification of the topics covered, preferably using the list of topics above, and an indication of the submission category (regular paper/position paper/tool report). Please use Easychair for submitting your paper: https://easychair.org/conferences/?conf=bpm2020 The paper selection will be based on the relevance of a paper to the main topics, as well as upon its quality and potential to generate relevant discussion. All the workshop papers will be published by Springer as a post-proceeding volume (to be sent around 4 months after the workshop) in their Lecture Notes in Business Information Processing (LNBIP) series. Activities All papers will be published on workshop wiki (www.bpms2.org) before the workshop, so that everybody can learn about the problems that are important for other participants. A blog will be used to encourage and support discussions. The workshop will consist of long and short paper presentations, brainstorming sessions and discussions. The workshop report will be created collaboratively using a wiki. A special issue over all workshops will be published in a journal (decision in progress). Important dates Deadline for workshop paper submissions: May 29, 2020 Notification of Acceptance: June 29, 2020 Camera-ready papers deadline: July 13, 2020 Workshop: September 14, 2020 Primary Contact Rainer Schmidt Munich University of Applied Sciences Rainer.Schmidt(a)hm.edu Phone: +49 89 1265 3740 Fax: + 49 89 1265 3780 Selmin Nurcan Sorbonne Management School - University Paris 1 Panthéon-Sorbonne Centre de Recherche en Informatique (CRI) France Selmin.Nurcan(a)univ-paris1.fr _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] [vcla-scholarships] (Final Call For Papers - Extended) The 31st International Conference on Concurrency Theory (CONCUR 2020) --- VIRTUAL /Vienna, Austria\---September 1-4, 2020
by Gustaf Neumann 07 Apr '20

07 Apr '20

-------- Forwarded Message -------- Subject: [WI] [vcla-scholarships] (Final Call For Papers - Extended) The 31st International Conference on Concurrency Theory (CONCUR 2020) --- VIRTUAL /Vienna, Austria\---September 1-4, 2020 Date: Tue, 7 Apr 2020 14:57:43 +0000 From: Rozman, Mihaela <mihaela.rozman(a)tuwien.ac.at> Reply-To: Rozman, Mihaela <mihaela.rozman(a)tuwien.ac.at> To: vcla-scholarships(a)list.tuwien.ac.at <vcla-scholarships(a)list.tuwien.ac.at> /(Please distribute to interested parties **** Apologies for cross-posting)/ ------------------------------------------------------------- FINAL CALL FOR PAPERS 31st International Conference on Concurrency Theory (CONCUR 2020) September 1-4, 2020 VIRTUAL (Vienna, Austria) https://easychair.org/cfp/CONCUR20 ------------------------------------------------------------- The purpose of CONCUR 2020, the 31st International Conference on Concurrency Theory, is to bring together researchers, developers, and students in order to advance the theory of concurrency, and promote its applications. CONCUR 2020 is part of the umbrella conference QONFEST 2020 comprising the joint international 2020 meetings CONCUR, FMICS, FORMATS, QEST, alongside with several workshops and tutorials. Amid the recent COVID-19 situation, the organization committee decided that QONFEST 2020, and thus also CONCUR 2020 will be organized on-line. Accepted papers will be published as planned, by September 2020, but no physical meeting/presentations will take place. We plan that the authors will record their talks and discuss them with the conference participants online. All CONCUR 2020 deadlines have been adjusted with two weeks dead-line extensions. ------------------------------------------------------------- TOPICS Submissions are solicited in semantics, logics, verification and analysis of concurrent systems. The principal topics include (but are not limited to): -Basic models of concurrency such as abstract machines, domain-theoretic models, game-theoretic models, process algebras, graph transformation systems, Petri nets, hybrid systems, mobile and collaborative systems, probabilistic systems, real-time systems, biology-inspired systems, and synchronous systems; -Logics for concurrency such as modal logics, probabilistic and stochastic logics, temporal logics, and resource logics; -Verification and analysis techniques for concurrent systems such as abstract interpretation, atomicity checking, model checking, race detection, preorder and equivalence checking, run-time verification, state-space exploration, static analysis, syn-thesis, testing, theorem proving, type systems, and security analysis; -Distributed algorithms and data structures: design, analysis, complexity, correctness, fault tolerance, reliability, availability, consistency, self-organization, self-stabilization, protocols; -Theoretical foundations of architectures, execution environments, and software development for concurrent systems such as georeplicated systems, communication networks, multiprocessor and multi-core architectures, shared and transactional memory, resource management and awareness, compilers and tools for concurrent programming, programming models such as component-based, object- and service-oriented. ------------------------------------------------------------- PAPER SUBMISSION -CONCUR 2020 solicits high quality papers reporting research results and/or experience re-lated to the topics mentioned below. -All papers must be original, unpublished, and not submitted for publication elsewhere. Each paper will undergo a thorough review process. The paper may be supplemented with a clearly marked appendix, which will be reviewed at the discretion of the program committee. -The CONCUR 2020 proceedings will be published by LIPIcs. -Papers must be submitted electronically as PDF files via EasyChair. Papers must not exceed 14 pages (excluding references and clearly marked appendices) using the LIPIcs style. ------------------------------------------------------------- IMPORTANT DATES All dates are AoE, extended because of COVID-19. -Abstract submission: April 28, 2020 -Paper submission: May 6, 2020 -Notification: June 28, 2020 -Camera ready copy: July 17, 2020 -Conference: September 1-4, 2020 ------------------------------------------------------------- SPECIAL ISSUE A special issue dedicated to selected papers from CONCUR 2020 will appear in Logical Methods in Computer Science. ------------------------------------------------------------- ORGANIZATION COMMITTEE Program Co-chairs Igor Konnov - Informal Systems, Austria Laura Kovacs - TU Wien, Austria Workshop Chair Florian Zuleger - TU Wien, Austria Webmaster Thanh-Hai Tran - TU Wien, Austria ------------------------------------------------------------- PROGRAM COMMITTEE Alessandro Abate, University of Oxford Elvira Albert, Universidad Complutense de Madrid Giovanni Bacci, Aalborg University Filippo Bonchi, University of Pisa Patricia Bouyer, CNRS Yu-Fang Chen, Academia Sinica Veronique Cortier, CNRS, Loria Pedro R. D'Argenio, Universidad Nacional de Córdoba – CONICET Michael Emmi, Amazon Web Services Bernd Finkbeiner, Saarland University Silvio Ghilardi, Università degli Studi di Milano Roberto Giacobazzi, University of Verona Rob van Glabbeek, Data61 – CSIRO Alberto Griggio, Fondazione Bruno Kessler Ichiro Hasuo, National Institute of Informatics Sophia Knight, University of Minnesota Igor Konnov, INRIA Nancy (LORIA) Laura Kovacs, TU Wien Antonin Kucera, Masaryk University Marijana Lazic, TU Munich Karoliina Lehtinen, University of Liverpool Kuldeep S. Meel, National University of Singapore Jan Otop, University of Wrocław Joel Ouaknine, Max Planck Institute for Software Systems (MPI-SWS) Jorge A. Pérez, University of Groningen Tatjana Petrov, University of Konstanz Nir Piterman, University of Gothenburg Giselle Reis, Carnegie Mellon University Philipp Ruemmer, Uppsala University Lutz Schröder, Friedrich-Alexander-Universität Erlangen-Nürnberg Alexandra Silva, University College London Ana Sokolova, University of Salzburg Jun Sun, Singapore Management University Max Tschaikowski, Aalborg University Valeria Vignudelli, CNRS/ENS Lyon Yakir Vizel, The Technion Nobuko Yoshida, Imperial College London Lijun Zhang, Institute of Software, Chinese Academy of Sciences ------------------------------------------------------------- STEERING COMMITTEE Javier Esparza, TU München, Germany, chair Pedro D’Argenio, National University of Cordoba, Argentina Wan Fokkink, Vrije Universiteit Amsterdam, The Netherlands Joost-Pieter Katoen, RWTH, Germany Catuscia Palamidessi, INRIA and Ecole Polytechnique, France Davide Sangiorgi, University of Bologna, Italy Jiri Srba, Aalborg University, Denmark -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [AISWorld] CFP: 2nd Int. Workshop on Business Informatics 4.0 (BI4.0)
by Gustaf Neumann 05 Apr '20

05 Apr '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP: 2nd Int. Workshop on Business Informatics 4.0 (BI4.0) Date: Sun, 5 Apr 2020 19:50:44 +0200 From: Elena Kornyshova <elena.kornyshova(a)cnam.fr> To: aisworld(a)lists.aisnet.org We apologize if you receive multiple copies of this CFP. ************************* CALL FOR PAPERS Second International Workshop on Business Informatics 4.0 (BI4.0) Joined to the IEEE Conference on Business Informatics (CBI) 2020 The BI4.0’20 Workshop will be held online (http://bi40-20.cnam.fr/) Nowadays, technology advances open and settle down many promising and challenge opportunities for enterprises improving their competitive strategies and exploring new business positions, mostly, by introducing new and versatile support technologies into their current Information Technology (IT) platform. The digitalization of the horizontal and vertical organizational value chains transforms the whole organization including managerial, operational and decisional activities as well as business objects, resources and IT capabilities at all organizational levels. Today enterprises are facing the impact of a new industrial technology-based revolution named Industry 4.0 (I4.0). I4.0 is associated to what it is called the smart industry which joins in digital and real worlds. For instance, I4.0 combines internet of things for interconnecting business objects with the standardization of digital tools, Cyber-Physical-Systems (CPS), cloud computing, the exploitation of organizational data for monitoring and increasing cooperative business functioning. The I4.0 revolution aims to increase and control business performance by introducing new smart IT technology into business processes at different organizational levels, thus, it implicitly targets to succeed business strategies by taking advantage of the newest and smartest IT. These kinds of innovations enable enterprises to create new business value, products and services by exploiting new embedded information technologies. Accordingly, managers, at all business levels, are able to know, analyze, supervise and control current business units’ capabilities and performance, to exploit internal and external data, to register business information sources, as well as to backup and align business decisions to business goals and strategies. The goal of the workshop is to explore how the theories and practices of Business Informatics may be adapted to face the new business context of an Industry 4.0 evolution and, in general, of business digitization and digitalization and, in consequence, of business transformation. Almost all sub-fields of Business Informatics are concerned by these new challenges, specially, enterprise modelling and information systems engineering, business process management, Business/IT alignment, Industry Applications, Business Innovations and Digital Transformation. List of topics: Areas of interest for this workshop include all topics related to the Industry 4.0 revolution and digitalization applied to Business Informatics, more precisely, to: * Enterprise and Business Transformation, * Business-IT Alignment, * Enterprise Architecture Management and Governance, * Model-driven Approaches, * Business Process Engineering. The list of applied I4.0 technologies includes, but is not limited to: * Artificial Intelligence Applications, * Blockchain, * Industrial IoT, * Digital Twins, * Augmented Analytics, * Digital Ethics in the Organizational Context. Submission: Submission link: https://easychair.org/conferences/?conf=bi400. Manuscripts must be in English and are restricted to 8 pages in IEEE 2—column template (A4). Accepted papers will be published as IEEE proceedings (CBI2019 Workshops Volume). Important Dates: * Workshop papers submission: April 26, 2020 * Notification to authors: May 3, 2020 * Camera-ready version due: May 10, 2020 Workshop Chairs: * Elena Kornyshova, CEDRIC, Conservatoire National des Arts et Métiers, Paris, France * Judith Barrios Albornoz, Systems Engineering School, University of Los Andes, Mérida, Venezuela * Oscar Pastor, PROS Research Centre, Universitat Politecnica de Valencia, Valencia, Spain COVID-19 Information: https://www.uantwerpen.be/en/conferences/business-informatics/ _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] [Call for Papers] How Technology and Business Leaders Help in a Crisis
by Gustaf Neumann 04 Apr '20

04 Apr '20

-------- Forwarded Message -------- Subject: [AISWorld] [Call for Papers] How Technology and Business Leaders Help in a Crisis Date: Fri, 3 Apr 2020 07:38:15 -0700 (PDT) From: Cutter Consortium <cgenerali(a)cutter.com> Reply-To: Cutter Consortium <cgenerali(a)cutter.com> To: AIS World <aisworld(a)lists.aisnet.org> Call for Papers! Image: To see the original, click here: https://experts.cutter.com/acton/ct/19169/s-0d14-2004/Bct/l-5ec1/l-5ec1:2d0… Target URL: https://www.cutter.com/call-papers#techcrisis How can the impact of a crisis be managed with as little business disruption as possible? Share your insight for publication in Cutter Business Technology Journal https://www.cutter.com/call-papers#techcrisis . Guest Editor: Dr. Steve Andriole http://www.cutter.com/experts/steve-andriole Abstract deadline: April 12, 2020 The COVID-19 pandemic has thrown our world into a state of unprecedented turmoil. Governments have insisted that businesses instruct their employees to work from home, hoping to contain the virus while triggering as little business disruption as possible. Predictably, this "new normal" has brought unique adjustment challenges for employers and employees alike. We technologists and business leaders must look into our toolboxes for help. What strategies and/or technologies can we adopt to conduct productive distributed team meetings or to facilitate online learning? How can businesses ride out a pandemic with minimal cost cutting measures? How can we enable and maintain positive customer relationships? An upcoming issue of Cutter Business Technology Journal with Guest Editor Dr. Steve Andriole http://www.cutter.com/experts/steve-andriole , a Cutter Consortium Fellow and Professor of Business Technology at Villanova University, will address the priorities technology and business leaders should focus on to conscientiously manage the impact of a pandemic on their business and workforce. We welcome your insight on any, or a combination of, the following discussion points. What strategies, practices, collaboration tools, and technologies can be leveraged during a crisis to: Transition your workforce successfully from on-site to remote environments Effectively manage employees and distributed teams remotely Inspire employees to stay motivated, engaged, and productive; strengthen company culture; ensure transparency and open communications Ensure the provision of IT/infrastructure support Ensure compliance with data privacy/security practices with an increase in remote platform/device usage Other article ideas might include: How can relationships, connections, and communications with customers be maintained? How can a consistent customer experience be provided? How can you safeguard the continuity of business operations during a crisis? How can you prepare and adjust for business fluctuations/disruptions? How can costs be optimized and business valued delivered? If necessary, what cost saving/reduction measures can be implemented with minimal disruption? What creative measures can be taken to avoid layoffs (to preserve company morale and ensure sufficient resources exist to resume operations post-crisis)? How might business continuity plans be modified to ensure preparation for the next crisis? What lessons can be learned from a crisis and applied to future business models/operating practices? How can business resilience be improved? Abstract submissions due April 12 2020. Please send article ideas (short paragraph outlining major discussion points) to Steve Andriole and Christine Generali . Accepted articles due May 8, 2020 . Final article length is typically 2,000-3,500 words plus graphics. More editorial guidelines https://www.cutter.com/call-papers#Editorial%20Guidelines . Learn more or submit a proposal! https://www.cutter.com/call-papers#techcrisis Cutter Business Technology Journal https://www.cutter.com/journals/cutter-business-technology-journal is published monthly as a forum for thought leaders, academics, business practitioners, and industry experts to present innovative ideas, current research, and solutions to the critical issues facing business technology professionals competing in today's digital economy. If you have any questions, please contact Christine Generali , Cutter Business Technology Journal https://www.cutter.com/cutter-it-journal Group Publisher. Editorial guidelines can be found here https://www.cutter.com/call-papers#Editorial Guidelines . We look forward to the opportunity of working with you! Share this Call for Papers with your colleagues! o Facebook https://www.facebook.com/sharer.php?u=https%3A%2F%2Fbit.ly%2F349J9kR&t=How%… o Twitter https://twitter.com/intent/tweet?text=How%20Technology%20and%20Business%20M… o LinkedIn https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fbit.ly%2F… o Forward to Friend https://experts.cutter.com/acton/ct/19169/s-0d14-2004/Bct/l-5ec1/l-5ec1:2d0… -------------------------------------------------------------------------------- Cutter Consortium https://www.cutter.com/  is a global business technology advisory firm dedicated to helping organizations leverage emerging technologies and the latest business management thinking to achieve competitive advantage and mission success. Connect with Cutter for the best minds in business technology. Copyright © 2020 Cutter Consortium | 37 Broadway, Arlington, MA 02474, USA Manage your email preferences. http://experts.cutter.com/acton/rif/19169/s-0d14-2004/-/l-5ec1:2d0/l-5ec1/z…  You can also mail your request to the address above.       _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP - The Bright Side and the Dark Side of Digital Health, Internet Research (SSCI, JCR Q1)
by Gustaf Neumann 02 Apr '20

02 Apr '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP - The Bright Side and the Dark Side of Digital Health, Internet Research (SSCI, JCR Q1) Date: Thu, 2 Apr 2020 00:01:54 +0800 From: Young Hoon Chang <younghoonchang(a)gmail.com> To: AISWorld(a)lists.aisnet.org Internet Research Call for Papers The Bright Side and the Dark Side of Digital Health （ https://www.emeraldgrouppublishing.com/products/journals/call_for_papers.ht… ） Submission due: September 1, 2020 Guest Editors Zhijun Yan - Beijing Institute of Technology, China, yanzhijun(a)bit.edu.cn Roberta Bernardi - University of Bristol, UK, roberta.bernardi(a)bristol.ac.uk Nina (Ni) Huang - Arizona State University, US, nhuang6(a)asu.edu Younghoon Chang - Beijing Institute of Technology, China, younghoonchang(a)bit.edu.cn Overview of Special Issue Digital technology has been transforming how individuals, organizations, and societies use information to improve their decision making on their daily lives and daily operations. In recent years, the healthcare industry has also actively engaged in the adoption of digital technology and enabled the formation of digital health. The digital health covers lots of advanced technologies, such as mobile health (mHealth), health information technology (HIT), wearable devices, telehealth and telemedicine, health data analytics and personalized medicine (Lupton 2018). These technologies offer new exciting opportunities to improve medical outcomes, enhance efficiency and balance health resources. In particular, digital health can better collect, process and analyze health-related information, and provide decision support for patients, doctors, healthcare organizations, public health management and medical research (Guha and Kumar 2018). There are many positive and negative issues associated with the use of digital health by these stakeholders. On the one hand, digital health can empower patients to make better decisions about their own health and provide new options for facilitating prevention, early diagnosis, surveillance, management and prediction of chronic conditions outside traditional healthcare settings (Lin et al. 2017). Doctors can also get a more holistic view of patient health through access to data and improve quality of care (Lin et al. 2019). Pharmaceutical companies and digital health companies can also benefit from patient-generated knowledge for the advancement of medical research (Kallinikos and Tempini 2014) and the design of personalized healthcare interventions (Bernardi 2019). On the other hand, the integration of digital technology in the healthcare industry presents risks such as the spread of misinformation (e.g. anti-vax communities, Doty 2015), the disclosure of patients' privacy that could be used by health insurance companies to make discriminatory pricing (McFall and Moor 2018), increased doctors' technical anxiety and slow acceptance of digital health innovation (Bernardi and Exworthy 2019), and health inequalities due to the digital exclusion of patients (Latulippe et al. 2017; Halford and Savage 2010). The healthcare industry is one of the largest and also one of the most important industries for citizens’ wellbeing. Addressing the complexities of today’s various negative and positive healthcare issues requires more than one perspective and needs more interdisciplinary collaboration and research. The rapid development of advanced technologies and methodologies such as social media, Internet of things (IoT) data analytics, machine learning, artificial intelligence (AI) brings lots of opportunities to handle the complicated problems in the healthcare industry. It makes it possible to improve people’s health conditions smartly and comfortably. However, the adoption of digital technology in health care usually lags behind other industries, as some major technological and managerial obstacles still remain (Bunduchi et al. 2015). Obstacles include the lack of health data integration, data overload issues, data privacy and security, and limited or inefficient data visualization (Agarwal et al. 2010). At the same time, academics need to address the issues related to the dark side and potential risks of digital health. This special issue aims to serve as a forum in which healthcare, computer science, management and social science scholars can come together to discuss new emerging issues related to the bright side and the dark side of digital health. It invites submissions from a variety of methodological, theoretical, and multidisciplinary perspectives. Theoretical work that engages critically with the debate about the bright and dark sides of digital health is also welcome. In bringing technical, behavioral, clinical, and managerial perspectives together, this special issue hopes to generate new insights into the design, adoption, utilization, and management of digital health as well as an understanding of its risks and adverse consequences for individuals, organizations, and societies. Topics of interest include, but are not limited to: • Participating behavior of digital health • Knowledge sharing and knowledge seeking of online health communities • Knowledge discovery and decision support based on online health communities and clinical decision-making systems • Social and economic return of digital health • Data privacy, trust and security in digital health • Fake information and information fraud in online health communities • Online-offline data integration and analytics • Organizational, operational, clinical and financial implications of digital health • Health, social and economic impact of digital health • Big data analytics and artificial intelligence application • Theories, models and classification frameworks that shed light on the bright side and dark side of digital health • Methods for studying the bright side and dark side of digital health and its impact on individuals, communities (societies) and organizations • Understanding how individuals, communities and organizations can minimize, prevent or respond to the dark side of digital health • Understanding what motivates individuals, communities and organizations to deliberately engage in digital health • Examining the dark side (outcomes, behaviors and practices) that accidently or unintentionally emerge in digital health • The ethics of the dark sides of digital health (especially with recent AI developments and uses in digital health) • Region, sector and industry-focused studies on the bright side and dark side of digital health • Economic impact of digital health on the healthcare industry • The effects of digital health on epidemic or pandemic outbreaks Important dates • Submission due: September 1, 2020 • 1st round review decision: November 30, 2020 • Revised submission due: December 31, 2020 • 2nd round final review decision: January 31, 2021 • Publication: 2021 Special Event – DHA 2020 The guest-editors organize a conference “2nd International Conference on Digital Health and Medical Analysis” in Beijing Institute of Technology on 1-2 July 2020 (https://www.dha2020.org/). Potential authors are encouraged to present their papers in this conference, which provides a good opportunity to receive constructive feedback and suggestions for this special issue. Submission Details Internet Research is an international, refereed journal and listed by Social Science Citation Index (SSCI) and Science Citation Index Expanded (SCIE) (IF 4.109 in 2018). To view the author guidelines for this journal, please visit: https://www.emeraldgrouppublishing.com/products/journals/author_guidelines.… Please submit your manuscript via our review website: https://mc.manuscriptcentral.com/intr Editorial Review Board Spyros Angelopoulos - Tilburg University, Netherlands Petros Chamakiotis - ESCP Business School (Madrid), Spain Ben Choi - Nanyang Technological University, Singapore Qianzhou Du - Nanjing University, China Juyeon Ham - Beijing Institute of Technology, China Kevin Yili Hong - Arizona State University, USA Liqiang Huang - Zhejiang University, China Yi-cheng Ku - Fu Jen Catholic University, Taiwan One-Ki Daniel Lee - University of Massachusetts Boston, USA Weizi Li - University of Reading, UK Christian Libaque-Saenz - Universidad del Pacífico, Peru Benjamin Marent - University of Sussex, UK Yang Pan - Louisiana State University, USA Jae Hyun Park - Kyoto Institute of Technology, Japan. Dimitra Petrakaki - University of Sussex, UK Niccolò Tempini - University of Exeter, UK Yichuan Wang - University of Sheffield, UK Siew Fan Wong - Sunway University, Malaysia Jiayin Zhang - Tsinghua University, China Minhao Zhang - University of Bristol, UK Xiaofei Zhang - Nankai University, China Kang Zhao - University of Iowa, USA Yuxiang Zhao - Nanjing University of Science & Technology, China > _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] CfP: Workshop ZuGPM (Geschäftsprozessmanagement) 2020 im Rahmen der INFORMATIK 2020
by Gustaf Neumann 02 Apr '20

02 Apr '20

-------- Forwarded Message -------- Subject: [WI] CfP: Workshop ZuGPM (Geschäftsprozessmanagement) 2020 im Rahmen der INFORMATIK 2020 Date: Wed, 1 Apr 2020 18:11:44 +0200 From: Ralf Laue <ralf.laue(a)fh-zwickau.de> Reply-To: Ralf Laue <ralf.laue(a)fh-zwickau.de> To: wi(a)lists.kit.edu --- Beiträge willkommen --- für den 6. Workshop zum Stand, den Herausforderungen und Impulsen des Geschäftsprozessmanagements im Rahmen der Jahrestagung INFORMATIK 2020 in Karlsruhe http://www.zugpm2020.informatik.uni-rostock.de/ ====================================================================== Bei der Jahrestagung INFORMATIK 2020 in Karlsruhe soll der 6. Workshop zum Stand, den Herausforderungen und Impulsen des Geschäftsprozessmanagements Wissenschaftler und Praktiker zu interessanten Diskussionen zusammenführen. Inhalt: Unser Workshop soll eine Plattform bieten, um über Ideen für die zukünftige Forschung im Kleinen, aber auch die Ausrichtung der Disziplin Geschäftsprozessmodellierung / Geschäftsprozessmanagement im Großen zu diskutieren. Wissenschaftliche Vorträge, aber auch Diskussionsanregungen und insbesondere auch Beiträge von Praktikern hierzu sind hochwillkommen. Gegenstand des Workshops sind alle Phasen des Prozesslebenszyklus von der Modellierung oder Erfassung von Prozessen über Mining-Verfahren über die Konfiguration und Ausführung bis hin zur Analyse und Optimierung. Von Interesse sind neben klassischen Themen wie der Modellierung von Prozessen besonders neuartige Ansätze zur Integration von KI-basierten Methoden zum Management von Prozessen sowie die Berücksichtigung des "Faktors Mensch". Beitragsarten: Für den Workshop sollen klassische Beiträge (mit Peer Review) als Lang-, Kurz- sowie Positionsbeitrag angenommen werden (14, 6, 4 Seiten) sowie Abstracts (2 Seiten) von Beiträgen, die auf namhaften Konferenzen oder in Journals erschienen sind. Darüber hinaus soll der Workshop offen sein für Beiträge vom Typ "alternative Form". Dies sind Beiträge, die nicht der traditionellen Form (Vortrag über ein Paper) entsprechen. Die Einreichung eines Papers kann optional aber zusätzlich erfolgen. Beispiele könnten etwa sein: (i) Thesen werden zur Diskussion gestellt, (ii) die Workshop-Teilnehmer arbeiten gemeinsam an einem Thema; (iii) es wird eine Umfrage unter den Workshop-Teilnehmern durchgeführt; (iv) eine neue Methode wird in einem Tutorial vorgestellt; (v) ein Spiel zum Thema GPM wird vorgestellt (und gespielt) oder (vi) Industrievertreter berichten über Erfahrungen und Lösungsansätze. Veröffentlichung Für klassische Beiträge werden Veröffentlichungen des Workshops innerhalb des LNI-Tagungsbandes der INFORMATIK angestrebt. Zu Beiträgen des Typs "alternative Form" kann gerne zusätzlich ein klassischer Beitrag eingereicht werden, der dann den normalen Begutachtungsprozess durchläuft. Termine: Einreichungsfrist für Beiträge: 20. Mai 2020 Benachrichtigung über die Ergebnisse der Begutachtung 10. Juni 2020 Abgabe der überarbeiteten Beiträge 22. Juni 2020 Workshop: während der INFORMATIK 2020, 29. 9.-1. 10. 2020 Einreichung von Beiträgen: über Easychair, Details siehe http://www.zugpm2020.informatik.uni-rostock.de/ Organisatoren: Prof. Dr. Michael Fellmann, Universität Rostock (michael.fellmann(a)uni-rostock.de) Dr. Birger Lantow, Universität Rostock (birger.lantow(a)uni-rostock.de) Prof. Dr. Ralf Laue, Westsächsische Hochschule Zwickau (ralf.laue(a)fh-zwickau.de) Prof. Dr. Jana-Rebecca Rehse, Universität Mannheim (rehse(a)uni-mannheim.de) Mit vielen Grüßen R. Laue im Namen der Organisatoren -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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