-------- Forwarded Message --------
Subject: [AISWorld] Blockchain Research eWorkshop
Date: Fri, 8 May 2020 11:00:06 +0000
From: Trevor Clohessy <Trevor.Clohessy(a)gmit.ie>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Blockchain Research eWorkshop:
<https://ecis2020.ma/workshops-and-ancillary-meetings/>
Beyond the Horizon - June 5th (2pm - 5pm Irish Standard
Time)<https://ecis2020.ma/workshops-and-ancillary-meetings/>
Blockchain Research eWorkshop
Title: Blockchain: Beyond the Horizon
Call for Abstracts: Deadline May 10th, 2020
Description of eWorkshop
Building on the success of two previous ECIS workshops in Portsmouth,
UK, in 2018 and in Stockholm, Sweden, in 2019, the aim of this virtual
eWorkshop is to advance the theoretical and practical discussions on
Blockchain and to provide substantial feedback to authors with an
interactive format. This eWorkshop is open to both early-stage and
advanced blockchain research projects and offers networking opportunities.
The goal of the eWorkshop is twofold: (1) giving feedback to the authors
and helping them to develop their ideas, and (2) providing virtual
networking and collaboration opportunities.
Abstract Submission Requirements/Limits
This virtual eWorkshop is open to academic, public sector, governmental
and industry participants. eWorkshop participants are selected based on
extended abstracts. These abstracts can either be ideas or suggestions
for academic papers or research collaborations or insights from proposed
or current industry blockchain projects. Either way, they should be
early stage, but show some potential.
In the abstract the authors should provide a concrete idea on the topic
they are interested in. The extended abstracts should not exceed two (2)
pages. The submitted abstracts should outline a research question, the
research method being used and the expected findings. There are no
restrictions pertaining to the academic approach. Conceptual abstracts
are fine, as are empirical (theory building and testing) and design
science papers.
The eWorkshop will be restricted to 10 presenters. Non-presenters are
also welcome to attend. Please contact the facilitating team to register
for the free eWorkshop.
All accepted authors will be expected to read all accepted papers prior
to the eWorkshop. Initially, the authors will briefly present an
overview of their research. They will then receive constructive feedback
on how they can advance their own blockchain research or projects.
Relevant Dates:
Submissions due by May 10, 2020, to be sent to eWorkshop organizers below.
Replies by May 20th, 2020
Workshops and Tutorials will be held on Friday June 5th (2pm – 5pm IST).
The eWorkshop will be held on Microsoft Teams.
Please Send Abstracts to the Facilitating team:
Trevor Clohessy, Assistant Professor,
Department of Enterprise and Technology, Galway-Mayo Institute of
Technology, Ireland
Email: trevor.clohessy(a)gmit.ie<mailto:trevor.clohessy@gmit.ie>
Eamon Walsh, Lecturer, PhD Researcher and Head of Department, Department
of Enterprise and Technology, Galway-Mayo Institute of Technology, Ireland
Email: eamon.walsh(a)gmit.ie<mailto:eamon.walsh@gmit.ie>
Horst Treiblmaier, Professor,
Modul University Vienna, Austria
Email: horst.treiblmaier(a)modul.ac.at<mailto:horst.treiblmaier@modul.ac.at>
Theo Stratopoulos, Associate Professor,
School of Accounting and Finance, University of Waterloo, Ontario, Canada
Email: tstratopoulos(a)uwaterloo.ca<mailto:tstratopoulos@uwaterloo.ca>
Tá an ríomhphost seo faoi réir an tséanta seo leanas atá le fáil ag
Séanadh Ríomhphost GMIT<http://www.gmit.ie/general/seanadh-riomhphoist>
This email is subject to the following disclaimer available at GMIT
Email Disclaimer<http://www.gmit.ie/general/email-disclaimer>
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] CfP HICSS-54 minitrack on Value, Success and
Performance Measurements of Knowledge, Innovation and Entrepreneurial
Systems - Deadline: June 15
Date: Fri, 8 May 2020 18:05:00 +0200
From: Stefan Smolnik <fuh(a)smolnik.net>
To: aisworld(a)lists.aisnet.org
(Apologies for cross-postings of this announcement.)
*************************************************
CALL FOR PAPERS
54th Annual Hawai'i International Conference on System Sciences (HICSS-54)
January 5-8, 2021 (Tuesday-Friday)
Grand Hyatt Kauai, Kauai (
https://www.hyatt.com/en-US/hotel/hawaii/grand-hyatt-kauai-resort-and-spa/k…
)
Minitrack: Value, Success and Performance Measurements of Knowledge,
Innovation and Entrepreneurial Systems
(
https://hicss.hawaii.edu/tracks-54/knowledge-innovation-and-entrepreneurial…
)
Part of the Track: Knowledge Innovation and Entrepreneurial Systems
Minitrack description: Research into knowledge systems, knowledge
management (KM), organizational memories, and organizational learning has
been affected by investigations such as implementation aspects, system
developments, or knowledge flows during a number of years. Therefore, a
high maturity level of KM research has been achieved. However,
organizational knowledge/KM initiatives are more and more faced with budget
cuts and justification demands due to intense competition in today’s
business environments. The influences of the rapid pace of globalization
and of the ongoing liberalization of national and international markets
lead to the emergence of increased pressure on existing companies. Project
managers of knowledge/KM initiatives like Chief Knowledge Officers need to
justify their budgets and, thus, are in need of qualitative and
quantitative evidence of the initiatives’ success. In addition, ROI
calculations and traditional accounting approaches do not tell an adequate
story when proposing knowledge-based initiatives.
This minitrack explores research into strategies, methodologies, and
stories that relate to measuring this success. In addition, this minitrack
will be used to explore the bodies of performance measurements that define
the current state of research in measuring knowledge system, KM,
organizational memory, and organizational learning success. Eventually,
another purpose of this minitrack is to present research on how to value
knowledge-based initiatives.
Possible topics include:
- Frameworks and models for assessing knowledge systems, knowledge
management, and/or organizational memory systems
- Methodologies and processes for measuring knowledge systems, knowledge
management and/or organizational memory success and performance
- Impact of knowledge use, knowledge management strategy, organization,
systems, culture, and other issues on knowledge management/organizational
memory success
- Organizational effectiveness/efficiency due to knowledge
management/organizational memory/organizational learning, knowledge and
organizational memory use
- Knowledge systems, knowledge management, organizational memory, and
organizational learning metrics
- Knowledge systems, knowledge management, organizational memory, and
organizational learning success factors and key performance indicators
- Benchmarking of knowledge systems/knowledge management/organizational
memory initiatives
- Case studies of knowledge systems, knowledge management and
organizational memory success and performance measurements
- Measuring knowledge systems, knowledge management and/or organizational
memory performance in global organizations and globally dispersed
communities
- Effectiveness and/or efficiency of knowledge systems/knowledge
management/organizational memory systems and/or innovation,
entrepreneurship and crowd systems
- Modeling and measuring the impact of social software on knowledge
system/knowledge management performance
- Measuring the effects and value of AI and AR implementations in/for
organizations
- Measuring the role and impact of diversity in knowledge systems/knowledge
management/organizational memory systems
- Defining knowledge systems, knowledge management and organizational
memory success
- Rigorous anecdotes and user stories and their theoretical basis to
facilitate the value of knowledge-based initiatives
- Developing grounded theory approaches to valuing knowledge-based
initiatives
- Understanding knowledge-based initiatives’ activities and output as
service offerings and exploring their productivity
- Usage, adoption and success of knowledge management methods
For additional information or to submit abstracts, please contact the
minitrack co-chairs:
Murray Jennex (Primary Contact), San Diego State University, USA,
mjennex<at>mail.sdsu.edu
Stefan Smolnik, University of Hagen, Germany, stefan.smolnik<at>
fernuni-hagen.de
David Croasdell, University of Nevada, Reno, USA, davec<at>unr.edu
Important Dates for HICSS-54 Paper Submission:
April 20, 2020: Paper submission begins
June 15, 2020 | 11:59 pm HST: Paper submission deadline
August 17, 2020: Notification of Acceptance/Rejection
September 4, 2020: Deadline for authors to submit the revised version of
papers accepted with mandatory changes (A-M)
September 11, 2020: Notification of Acceptance/Rejection for A-M papers
September 22, 2020: Deadline for authors to submit final manuscript for
publication
October 1, 2020: Deadline for at least one author of each paper to register
for HICSS-54
For further submission information, please see the general HICSS-54 Call
for Papers (https://hicss.hawaii.edu/authors/).
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] 2nd Call For Book Chapters: Handbook of Research on
Intelligent Analytics with Multi-Industry Applications
Date: Fri, 8 May 2020 09:20:29 +1000
From: Zhaohao Sun <zhaohao.sun(a)gmail.com>
To: aisworld(a)lists.aisnet.org
CC: cmoyer(a)igi-global.com
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 May 30, 2020. Authors of the
accepted proposals will be notified and provided with detailed guidelines.
Full chapters are to be submitted by June 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
* May 30, 2020: Proposal Submission Deadline
*June 10, 2020: Notification of Acceptance
* June 30, 2020: Full Chapter Submission
* July 30, 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
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] HICSS 2021 [CFP] Explainable Artificial
Intelligence (XAI) mini track
Date: Fri, 8 May 2020 06:34:32 +1000
From: Babak Abedin <babak.abedin(a)gmail.com>
To: aisworld(a)lists.aisnet.org
Dear Colleagues,
Please consider submitting to HICSS 2021: Explainable Artificial
Intelligence (XAI) mini track (
https://hicss.hawaii.edu/tracks-54/decision-analytics-and-service-science/#…
).
Fast track journal opportunity at *Information Systems Frontiers *
*Description*:
The use of Artificial Intelligence (AI) in the context of decision
analytics and service science has received significant attention in
academia and practice alike. Yet, much of the current efforts have focused
on advancing underlying algorithms and not on decreasing the complexity of
AI systems. AI systems are still “black boxes” that are difficult to
comprehend—not only for developers, but particularly for users and
decision-makers. Also, the development and use of AI is associated with
many risks and pitfalls like biases in data or predictions based on
spurious correlations (“Clever Hans” phenomena), which eventually may lead
to malfunctioning or biased AI and hence technologically driven
discrimination.
This is where research on Explainable Artificial Intelligence (XAI) comes
in. Also referred to as “transparent,” “interpretable,” or “understandable
AI,” XAI aims to “produce explainable models, while maintaining a high
level of learning performance (prediction accuracy); and enable human users
to understand, appropriately, trust, and effectively manage the emerging
generation of artificially intelligent partners”. XAI hence refers to “the
movement, initiatives, and efforts made in response to AI transparency and
trust concerns, more than to a formal technical concept”, eventually
impacting task performance of users.
With a focus on decision support, this minitrack aims to explore and extend
research on how to establish explainability of intelligent black box
systems—machine learning-based or not. We especially look for contributions
that investigate XAI from either a developer’s or user’s perspective. We
invite submissions from all application domains, such as healthcare,
finance, e-commerce, retail, public administration or others. Technically
and method-oriented studies as well as design science or behavioral science
approaches are welcome.
*Topics of interest include, but are not limited to:*
- *The developers’ perspective on XAI*
- XAI to open, control and evaluate black box algorithms
- Using XAI to identify bias in data
- Explainability and Human-in-the-Loop development of AI
- XAI to support interactive machine learning
- Prevention and detection of deceptive AI explanations
- XAI to discover deep knowledge and learn from AI
- *The users’ perspective on XAI*
- Presentation and personalization of AI explanations for different
target groups
- XAI to increase situational awareness, compliance behavior and task
performance
- XAI for transparency and unbiased decision making
- Impact of explainability on AI-based decision support systems use
and adoption
- Explainability of AI in crisis situations
- Potential harm of explainability in AI
We provide the opportunity for (extended) best papers of this minitrack to
be fast-tracked to the Information Systems Frontiers (ISF) journal.
Important Dates for Paper Submission
June 15, 2020: Paper Submission Deadline (11:59 pm HST)
August 17, 2020: Notification of Acceptance/Rejection
Minitrack Co-Chairs:
Christian Meske (Primary Contact)
Freie Universität Berlin and Einstein Center Digital Future
christian.meske(a)fu-berlin.de
Babak Abedin
University of Technology Sydney
Babak.Abedin(a)uts.edu.au
Iris Junglas
College of Charleston
junglasia(a)cofc.edu
Fethi Rabhi
University of New South Wales
f.rabhi(a)unsw.edu.au
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] 2nd call extension - 14th Multi Conference on
Computer Science and Information Systems 2020
Date: Thu, 07 May 2020 11:20:24 -0500
From: nat(a)iadis.org
To: aisworld(a)lists.aisnet.org
Apologies for cross-postings. Please send to interested colleagues and
students
- MCCSIS 2020 CALL FOR PAPERS - Deadline for submissions (2nd call
extension): 27 May 2020 -
14th Multi Conference on Computer Science and Information Systems
(MCCSIS 2020)
21 to 25 July 2020
(http://www.mccsis.org)
* IMPORTANT: Due to the coronavirus (COVID-19) pandemic, the conference
will now be held online via Zoom.
The Multi Conference on Computer Science and Information Systems 2020
(MCCSIS 2020) aims to address subjects like Computer Science,
Information Systems and other emergent related fields. The multi
conference has different conferences according to several themes.
* Conferences part of the MCCSIS 2020:
- e-Learning 2020 - eL2020 (http://www.elearning-conf.org/)
- Theory and Practice in Modern Computing 2020 - TPMC2020
(http://www.tpmc-conf.org/)
- Game and Entertainment Technologies 2020 - GET2020
(http://www.gaming-conf.org/)
- ICT, Society, and Human Beings 2020 – ICT2020 (http://www.ict-conf.org/)
- Web Based Communities and Social Media 2020 - WBC2020
(http://www.webcommunities-conf.org/)
- Interfaces and Human Computer Interaction 2020 - IHCI2020
(http://www.ihci-conf.org/)
- Computer Graphics, Visualization, Computer Vision and Image Processing
2020 - CGVCVIP2020 (http://www.cgv-conf.org/)
- e-Health 2020 - eH2020 (http://www.ehealth-conf.org/)
- Connected Smart Cities 2020 – CSC2020 (http://www.smartcities-conf.org/)
- Big Data Analytics, Data Mining and Computational Intelligence 2020 –
BigDaCI2020 (http://www.bigdaci.org/)
* Paper Submission
These are blind peer-reviewed conferences. Authors are invited to submit
their papers in English through each conferences’ submissions system by
May 27, 2020. Submissions must be original and should not have been
published previously.
* Important Dates:
- Submission Deadline (2nd call extension): 27 May 2020
- Notification to Authors (2nd call extension): 15 June 2020
- Final Camera-Ready Submission and Early Registration (2nd call
extension): Until 24 June 2020
- Late Registration (2nd call extension): After 24 June 2020
* Paper Publication
The papers will be published in book and electronic format with ISBN,
will be made available through the Digital Library available at
http://www.iadisportal.org/digital-library/showsearch.
The conference proceedings will be submitted for indexation by IET’s
INSPEC, Elsevier, EI Compendex, Scopus, Thomson Reuters Web of Science,
ERIC, EBSCO and other important indexing services.
Selected authors of best papers will be invited to submit extended
versions of their papers to selected journals (i.e. IADIS International
Journal on Computer Science and Information Systems - ISSN: 1646-3692).
Best papers will also be invited to submit for review extended versions
for potential publication in journals from INDERSCIENCE Publishers.
* Organized by: International Association for Development of the
Information Society
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] CENTERIS – International Conference on ENTERprise
Information Systems * virtual and physical event * Submissions until:
May 30 * Conference dates: October 21-23
Date: Thu, 7 May 2020 17:04:04 +0100
From: Maria Manuela Cruz Cunha <mcunha(a)ipca.pt>
Reply-To: mcunha(a)ipca.pt
To: aisworld(a)lists.aisnet.org
----
Please feel free to forward this information to your colleagues, friends
and students.
Apologize for cross-postings
----
CENTERIS 2020 - International Conference on ENTERprise Information Systems
http://centeris.scika.org
an AIS affiliated conference | Scopus, CPCI
October 21-23, 2020
Hybrid conference: virtual and physical
Physical venue: Crowne Plaza Hotel, Vilamoura, Algarve (Portugal)
Online: virtual synchronous sessions
October 21-23, 2020
Submissions until May 30
----
Dear Colleague,
We hope this message finds you and your loved ones safe and in good health.
We are monitoring the situation of COVID-19 and, as organizers, we need
to ensure that your participation does not experience any disruption.
The organizing team recognized the need to include the potential authors
who did not submit their work due to the uncertainty about physical
participation and were not aware of the possibility of remote participation.
Therefore, we are moving to a more inclusive format, a mix of physical
and virtual sessions, allowing the remote participation of those who are
unsure about traveling and/or gathering resources. The physical venue
will be in Vilamoura, Algarve (Crowne Plaza Hotel), with physical and
virtual synchronous sessions.
Ultimately, the Organization will strictly follow all recommendations
from Governmental Official Authorities and follow lessons learned from
other events.
----
IMPORTANT DATES
- Paper submission deadline: May 30, 2020
- Notification of results: June 30, 2020
- Revised version due: July 15, 2020
----
COMMITTEES
General Chairs:
- Wil van der Aalst, RWTH Aachen University, Germany
- Maria Manuela Cruz-Cunha, Polytechnic Institute of Cávado and Ave,
Portugal
Advisory Board Chair:
- Goran D. Putnik, University of Minho, Portugal
Advisory Board:
- Helmut Krcmar, Technical University of Munich, Germany
- Niels Bjørn-Andersen, Copenhagen Business School, Danmark
- Philip Powell, Birkbeck University of London, UK
- Philip Yetton, The University of South Wales, Australia
Program Chair:
- to be announced soon
Organization chair:
- Dulce Domingos, University of Lisbon, Portugal
SARWATCH Workshop Chair:
- João Sousa, University of Trás-os-Montes and Alto Douro, Portugal
CYBERKNIFE (Workshop of InfoSec and Data Leakage Protection and
Prevention) Chair:
- Nuno Mateus-Coelho, Polytechnic Institute of Management and
Technology, Portugal
Keynote speakers:
- to be announced soon
----
SUBMISSION TYPES AND GUIDELINES
Researchers and practitioners are invited to submit their manuscript
electronically at the Conference webpage until May 30, 2020.
Submissions can be made as full papers, short papers, poster papers and
industry papers, and must strictly follow the submission guidelines also
available at the conference webpage.
- A full paper corresponds to a completed or finished research,
including the discussion of research results (a full paper should have
between six and eight pages, considering the template and the guidelines
provided);
- A short paper introduces preliminary results of ongoing research (a
short paper should be between four to six pages in length);
- A poster paper introduces initial research, ideas, and models at a
discussion phase (a poster paper should be two to three pages in length);
- An industry paper presents practical approaches to research,
applications, tools, solutions, etc., aligned with the conference scope
and topics (its page length can vary between four and six pages).
All conference submissions will be double-blind peer reviewed.
----
PROCEEDINGS AND PUBLICATIONS
Only original contributions will be accepted. Papers must not have been
published before, and not be under review for any other conference or
publication.
All papers accepted as full or short papers will be published in the
conference proceedings to be published by Elsevier as a Procedia
Computer Science volume (which is indexed by Scopus and Conference
Proceedings Citation Index) and will be available on Sciverse
ScienceDirect. Poster papers and industry papers will be published in a
conference book of abstracts, industry and poster papers (with ISBN).
Authors of selected papers will be invited to extend the paper for
publication in international journals and in edited books.
----
SPECIAL TRACK
People, Society, Technology and Resources in times of COVID-19
In addition to the topics suggested on the conference webpage,
manuscripts related to experiences and lessons learned in the context of
the COVID-19 outbreak are welcome.
----
The Organizing Committee wishes you and your families good health and
protection during this hard time.
Maria Manuela Cruz-Cunha
(on behalf of the Organizing Committee)
--
Maria Manuela Cruz Cunha
Polytechnic Institute of Cávado and Ave
Portugal
www.shortbio.net/mcunha@ipca.pt
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] CFP - The Bright Side and the Dark Side of Digital
Health, Internet Research (SSCI, ABDC 'A' JCR Q1)
Date: Fri, 8 May 2020 01:10:01 +0900
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
_______________________________________________
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-------- Forwarded Message --------
Subject: [WI] HICSS 54 CFP on open science practices in information
systems research
Date: Wed, 6 May 2020 22:11:49 +0000
From: Cathal Doyle <cathal.doyle(a)vuw.ac.nz>
Reply-To: Cathal Doyle <cathal.doyle(a)vuw.ac.nz>
To: wi(a)lists.kit.edu <wi(a)lists.kit.edu>
Kia ora (Hello)
We’re delighted to announce we’re running a minitrack at HICSS 54 on
open science practices in information systems research. The objective of
this minitrack is to give researchers the opportunity to present novel
and innovative ways that they are conducting research using open
science. In doing so we aim to push the boundary of how IS research is
conducted and communicated to the community. In order to do so, we are
looking for both conceptual and empirical papers that either further our
understanding of open science in IS research, or studies that practice
it. Thus, we invite papers that focus on (but is not limited to) any of
the following topics around open science in IS research:
* Philosophical considerations
* Ethical implications
* Methodological considerations
* Papers that practice one (or more) concepts of open science in their
study
* Registered reports in IS research (can be either stage 1 or stage 2)
* Understanding of different platforms/tools for practicing open science
You can read more on the HICSS website:
https://hicss.hawaii.edu/tracks-54/collaboration-systems-and-technologies/#…
If you’re interested, please submit a paper for review. If not, could
you please forward this message to your networks, or to other colleagues
you think might be interested.
Further, here are links to two papers that provide a good introduction
to open science: “We need the open artefact: Design Science as a pathway
to Open Science in Information Systems research”
(https://doi.org/10.31219/osf.io/ye6xp) and “This paper is an artefact:
On open science practices in design science research using registered
reports” (https://doi.org/10.31219/osf.io/d8hej). And here is a paper
practicing open science that was accepted for JAIS: “New Guidelines for
Null Hypothesis Significance Testing in Hypothetico-Deductive IS
Research” (https://doi.org/10.31235/osf.io/5qr7v).
If you have any questions please feel free to contact me.
Ngā mihi (Kind regards)
Cathal
Cathal Doyle, Ph.D.
Lecturer
School of Information Management
Victoria University of Wellington
Open science framework profile: https://osf.io/v9y6q/
ResearchGate: https://www.researchgate.net/profile/Cathal_Doyle2
Website: http://cathaldoyle.com/
--
Mailing-Liste: wi(a)lists.kit.edu
Administrator: wi-request(a)lists.kit.edu
Konfiguration: https://www.lists.kit.edu/wws/info/wi
-------- Forwarded Message --------
Subject: [AISWorld] CFP: 16th WiMob 2020, October 12-14, 2020,
Thessaloniki, Greece
Date: Thu, 7 May 2020 09:20:56 +0530
From: Chandan Giri <chandangiri(a)gmail.com>
To: aisworld(a)lists.aisnet.org
[Apologies if you receive multiple copies of this message]
==========================================================
CALL FOR PAPERS
******************************************************************
The 16th International Conference on Wireless and Mobile
Computing, Networking and Communications (WiMob 2020), October 12-14,
2020 in Thessaloniki, Greece.
http://wimob.org/wimob2020/
******************************************************************
** IEEE Communication Society sponsorship **
* All IEEE published conference proceedings are covered by Scopus and Ei
Compendex.*
The WiMob conference is an international forum for the exchange of
experience and knowledge among researchers and developers concerned with
wireless and mobile technology. For thirteen years, the International
WiMob conference has provided unique opportunities for researchers to
interact, share new results, show live demonstrations, and discuss
emerging directions in - Wireless Communication, - Wireless Networking,
Mobility and Nomadicity, - Ubiquitous Computing, Services and
Applications, - Green and sustainable communications and network
computing and - Security on Wireless and mobile Networks.
WiMob 2020 will take place in Thessaloniki, Greece, October 12-14, 2020.
WiMob 2020 is soliciting high quality technical papers addressing
research challenges in the areas of wireless communications, wireless
networking, mobility, nomadicity, ubiquitous computing, services and
applications. Papers should present original work validated via
analysis, simulation or experimentation. Practical experiences and
Testbed trials also are welcome.
WiMob 2020 will host FIVE parallel symposia:
1. Wireless Communications (WC)
2. Wireless Networking, Mobility and Nomadicity (WNMN)
3. Ubiquitous Computing, Services and Applications (UCSA)
4. Green and Sustainable Communications and Network computing (GSCN)
5. Security on Wireless and Mobile Networks (SWMN)
For the detailled topics, you can refer to WiMob 2020 web site.
Important Dates
- Submissions Date: May 15, 2020
- Notifications Date: July 20, 2020
- Camera ready Date: September 10, 2020
- Registrations for authors: September 20, 2020
INSTRUCTIONS FOR PAPER SUBMISSION
Authors are required to submit fully formatted, original papers (PDF),
with graphs, images, and other special areas arranged as intended for
the final publication.
Papers should be written in English conforming to the IEEE standard
conference format (two-column, 10 pt font, etc., including figures,
tables, and references). The review submissions are limited to six
pages, with two additional pages for final papers (additional charges
may apply for additional pages).
Conference content will be submitted for inclusion into IEEE Xplore as
well as other Abstracting and Indexing (A&I) databases.
Each accepted paper must be presented at the conference by one of the
co-authors or a third party, otherwise it will not be indexed and
archived through IEEE Xplore.
Only timely submissions through
https://www.edas.info/newPaper.php?c=27416 will be accepted.
For more details, please visit the WiMob'2020 official website
(http://wimob.org/wimob2020) and Facebook page for WiMob 2020:
https://www.facebook.com/WiMob.2020
ACCEPTED PAPERS
All accepted papers will be published in the conference proceedings and
presented for inclusion in IEEE Xplore Digital Library.
Regards
Chandan Giri
Publicity Co-Chair
WiMob 2020
_______________________________________________
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