-------- Forwarded Message --------
Subject: [AISWorld] WorldCIST'20 - Budva, Montenegro | Deadline:
November 17
Date: Sun, 10 Nov 2019 17:03:23 +0000
From: Alvaro Rocha <amrrocha(a)gmail.com>
To: aisworld(a)lists.aisnet.org
WorldCIST'20 conference (http://www.worldcist.org/):
- Ranked in the prestigious CORE Ranking
- Proceedings published by Springer, in several books of the AISC series
- Indexed by Scopus, ISI and DBLP, among others
- Ranked in the prestigious SCIMago Ranking with H-Index = 25
- Ranked in the prestigious Google Scholar Ranking with H5-Index = 17
----------------------------------------- CALL FOR PAPERS
-----------------------------------------
WorldCIST'20 - 8th World Conference on Information Systems and Technologies
7th -10th of April 2020, Budva, Montenegro
http://www.worldcist.org/
------------------------------------------------------------------------------------------------------------------
SCOPE
The WorldCist'20 - 8th World Conference on Information Systems and
Technologies, to be held in Budva, Montenegro, 7 - 10 April 2020, is a
global forum for researchers and practitioners to present and discuss the
most recent innovations, trends, results, experiences and concerns in the
several perspectives of Information Systems and Technologies.
We are pleased to invite you to submit your papers to WorldCist'19. All
submissions will be reviewed on the basis of relevance, originality,
importance and clarity.
THEMES
Submitted papers should be related with one or more of the main themes
proposed for the Conference:
A) Information and Knowledge Management (IKM);
B) Organizational Models and Information Systems (OMIS);
C) Software and Systems Modeling (SSM);
D) Software Systems, Architectures, Applications and Tools (SSAAT);
E) Multimedia Systems and Applications (MSA);
F) Computer Networks, Mobility and Pervasive Systems (CNMPS);
G) Intelligent and Decision Support Systems (IDSS);
H) Big Data Analytics and Applications (BDAA);
I) Human-Computer Interaction (HCI);
J) Ethics, Computers and Security (ECS)
K) Health Informatics (HIS);
L) Information Technologies in Education (ITE);
M) Information Technologies in Radiocommunications (ITR);
N) Technologies for Biomedical Applications (TBA)
TYPES of SUBMISSIONS and DECISIONS
Four types of papers can be submitted:
Full paper: Finished or consolidated R&D works, to be included in one of
the Conference themes. These papers are assigned a 10-page limit.
Short paper: Ongoing works with relevant preliminary results, open to
discussion. These papers are assigned a 7-page limit.
Poster paper: Initial work with relevant ideas, open to discussion. These
papers are assigned to a 4-page limit.
Company paper: Companies' papers that show practical experience, R & D,
tools, etc., focused on some topics of the conference. These papers are
assigned to a 4-page limit.
Submitted papers must comply with the format of Advances in Intelligent
Systems and Computing Series (see Instructions for Authors at Springer
Website or download a Word Template or Latex Package) be written in
English, must not have been published before, not be under review for any
other conference or publication and not include any information leading to
the authors’ identification. Therefore, the authors’ names, affiliations
and bibliographic references should not be included in the version for
evaluation by the Program Committee. This information should only be
included in the camera-ready version, saved in Word or Latex format and
also in PDF format. These files must be accompanied by the Consent to
Publish form filled out, in a ZIP file, and uploaded at the conference
management system.
All papers will be subjected to a “double-blind review” by at least two
members of the Program Committee.
Based on Program Committee evaluation, a paper can be rejected or accepted
by the Conference Chairs. In the later case, it can be accepted as the type
originally submitted or as another type. Thus, full papers can be accepted
as short papers or poster papers only. Similarly, short papers can be
accepted as poster papers only.
Poster papers and Company papers are not published in the Conference
Proceedings, being only presented and discussed. The authors of accepted
poster papers should build and print a poster to be exhibited during the
Conference. This poster must follow an A1 or A2 vertical format. The
Conference includes Work Sessions where these posters are presented and
orally discussed, with a 7 minute limit per poster.
The authors of accepted Full papers will have 15 minutes to present their
work in a Conference Work Session; approximately 5 minutes of discussion
will follow each presentation. The authors of accepted Short papers and
Company papers will have 11 minutes to present their work in a Conference
Work Session; approximately 4 minutes of discussion will follow each
presentation.
PUBLICATIONS and INDEXING
To ensure that a full paper or short paper is published, poster paper or
company paper is published, at least one of the authors must be fully
registered by the 8th of January 2020, and the paper must comply with the
suggested layout and page-limit. Additionally, all recommended changes must
be addressed by the authors before they submit the camera-ready version.
No more than one paper per registration will be published. An extra fee
must be paid for publication of additional papers, with a maximum of one
additional paper per registration. One registration permits only the
participation of one author in the conference.
Full and Short papers will be published in Proceedings by Springer, in
Advances in Intelligent Systems and Computing series. Poster and company
papers will not be published, just presented in the conference.
Published Full and Short papers will be submitted for indexation by ISI,
EI-Compendex, SCOPUS, DBLP and Google Scholar, among others, and will be
available in the SpringerLink Digital Library.
The authors of the best selected papers will be invited to extend them for
publication in international journals indexed by ISI/SCI, SCOPUS and DBLP,
among others, such as:
- International Journal of Neural Systems (IF: 6.4 / Q1)
- Omega (IF: 5.341 / Q1)
- Integrated Computer-Aided Engineering (IF: 4.904 / Q1)
- Journal of Knowledge Management (IF: 4.604 / Q1)
- Socio-Economic Planning Sciences (IF: 2.196 / Q1)
- Informatica - An International Journal (IF: 1.928 / Q1)
- Journal of Medical Systems (IF: 2.415 / Q2)
- Journal of Service Theory and Practice (IF: 2.363 / Q2)
- Telecommunications Policy (IF: 2.000 / Q2)
- Expert Systems - Journal of Knowledge Engineering (IF: 1.505 / Q2)
- Computational and Mathematical Organization Theory (IF: 1.372 / Q2)
- Journal of Intelligent & Fuzzy Systems (IF: 1.637 / Q3)
- Data Technologies and Applications (IF: 1.170 / Q3)
- Journal of Global Information Management (IF: 1.098 / Q3)
- AI Communications (IF: 0.765 / Q4)
- Journal of Database Management (IF: 0.577 / Q4)
- Journal of Information Science and Engineering (IF: 0.525 / Q4): Special
Issue on Trends on Information Science and Data Analytics
- Digital Policy, Regulation and Governance (ESCI & SJR: 0.35 / Q2)
- Computer Methods in Biomechanics and Biomedical Engineering - Imaging &
Visualization (ESCI & SJR: 0.22 / Q3)
- Journal of Electronic Government Research (ESCI & SJR: 0.21 / Q3)
- Journal of Information Systems Engineering & Management (DOAJ & ProQuest)
IMPORTANT DATES
Paper Submission: November 17, 2019
Notification of Acceptance: December 25, 2019
Payment of Registration, to ensure the inclusion of an accepted paper in
the conference proceedings: January 8, 2020.
Camera-ready Submission: January 8, 2020
WorldCIST'20 Website: http://www.worldcist.org/
Álvaro Rocha
AISTI & University of Coimbra, Portugal
https://apps.uc.pt/mypage/faculty/uc42238
E-mail: amrrocha(a)gmail.com
Phone/WhatsApp: +351 961539027
Skype ID: amrrocha
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-------- Forwarded Message --------
Subject: [AISWorld] CFP: ICWE 2020 - Abstract/Workshop Proposal
Submission Deadline 19 January 2020
Date: Fri, 8 Nov 2019 12:58:30 +0100
From: Flavius Frasincar <frasincar(a)ese.eur.nl>
To: aisworld(a)lists.aisnet.org
--------------------------------------------------------------------------------------
20th International Conference on Web Engineering (ICWE 2020)
Helsinki, Finland | June 9-12, 2020
https://icwe2020.webengineering.org/
--------------------------------------------------------------------------------------
IMPORTANT DATES
* Workshop proposal submission: January 19, 2020 (23h59 Hawaii Time)
* Research Track - Abstract submission: January 19, 2020 (23h59 Hawaii Time)
* Research Track - Paper submission: January 26, 2020 (23h59 Hawaii Time)
* Research Track - Notification: February 28, (23h59 Hawaii Time)
* Camera-ready: March 19, 2020 (23h59 Hawaii Time)
ICWE 2020 AT A GLANCE
The International Conference on Web Engineering (ICWE) is the premier
annual conference on Web Engineering and associated technologies, ICWE
aims to bring together researchers and practitioners from various
disciplines in academia and industry to tackle the emerging challenges
in the engineering of Web applications and in the problems of its
associated technologies, as well as the impact of those technologies on
society and culture. The 20th edition of ICWE will accept contributions
on a wide spectrum of topics related to Web Engineering, such as, among
others:
* Web application modeling and engineering
* Web mining, big data analytics and knowledge extraction
* Semantic Web and Linked Open Data
* Web crowdsourcing, social and human computation
* Mobile Web application engineering
* Web Personalization
* Web of Things
* Web composition and mashups
* Web programming languages, tools and frameworks
- Web Assembly
* Microservice and Web API engineering
* Web user interface design
* Redecentralization of the Web
* Web-based learning
* Quality aspects of Web applications:
- Accessibility and Usability
- Security and Privacy
- Reusability and Composition
- Mobility and Distribution
- Performance and Scalability
- Testability and Quality Assurance
- Maintainability and Sustainability
In addition to the research track, ICWE 2020 also seeks contributions of
demos and posters, student papers to the PhD Symposium, and tutorials.
The conference will be held at Helsinki, Finland. Helsinki is the
capital of Finland, hub of transportation, and hosts many private and
public research institutes. Further information can be found at
https://icwe2020.webengineering.org/.
ORGANIZATION
General Chair:
Tommi Mikkonen, University of Helsinki, Finland
Program Co-Chairs:
Maria Bielikova, Slovak University of Technology
Cesare Pautasso, USI, Lugano, Switzerland
SUBMISSIONS TO THE RESEARCH TRACK
This call addresses research contributions in one of the following
categories:
* Full papers: mature, original research contribution. Reported results
should be supported by some type of validation, and also include a
justification about the choice/suitability of the validation method. In
addition, evidence of use in practice and/or demonstration of
scalability is regarded as a plus. (16 pages)
* Short papers: short papers presenting a discussion ? analysis,
criticism, proposal, etc. ? about relevant aspects of Web engineering
topics. These papers are intended to generate discussions that promise
potential for research that will impact Web engineering in the coming
years. (8 pages)
Papers must be formatted according to the information for Springer LNCS
authors at http://www.springer.de/comp/lncs/authors.html and submitted
in PDF. Papers submitted to ICWE 2020 must not be under review elsewhere
while under consideration for ICWE 2020, nor may have been already
previously published elsewhere. Submissions that are not in compliance
with the required submission format or that are out of the scope of the
conference will be desk rejected without reviewing.
Accepted contributions will be included into the ICWE 2020 Springer LNCS
proceedings. The best papers will be selected to be proposed, in
extended form, as part of a special issue of the Journal of Web Engineering.
Authors should consult Springer?s authors? guidelines
(https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…),
for the preparation of their papers. Springer encourages authors to
include their ORCIDs (https://goo.gl/hbsa4D) in their papers. In
addition, the corresponding author of each paper, acting on behalf of
all of the authors of that paper, must complete and sign a
Consent-to-Publish form, through which the copyright for their paper is
transferred to Springer.
Submissions and reviewing are supported by the EasyChair system at
https://easychair.org/conferences/?conf=icwe2020
Details for formatting and submitting the papers can be found from
ICWE’20 website:
https://icwe2020.webengineering.org/call-for-papers/
SUBMISSION OF WORKSHOP PROPOSALS
Workshop proposals must follow the instructions given on the ICWE’20
website:
https://icwe2020.webengineering.org/call-for-workshops/
Workshop proposals should be submitted as a single PDF file to
workshopchairs.icwe2020(a)webengineering.org. All submitted workshop
proposals must be formatted in accordance to the information for
Springer LNCS authors at
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…
and submitted in PDF. Proposals should not exceed 10 pages overall,
including all the required sections.
CONTACT
All questions about submissions should be emailed to
icwe2020(a)easychair.org. Further information can be found at
https://icwe2020.webengineering.org/
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-------- Forwarded Message --------
Subject: [AISWorld] Announcing the Latest Issue of The DATA BASE for
Advances in Information Systems (50:4)
Date: Fri, 8 Nov 2019 20:34:22 +0000
From: Petter, Stacie <Stacie_Petter(a)baylor.edu>
To: 'SIGMIS-MEMBERS' <SIGMIS-MEMBERS(a)LISTSERV.ACM.ORG>,
aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
The most recent issue of The DATA BASE for Advances in Information
Systems is now published in the ACM Digital Library
(http://dl.acm.org/citation.cfm?id=J219). In this issue of The DATA BASE
for Advances in Information Systems (Vol. 50, No. 4), learn:
- That we can learn much in the changing of seasons in the editorial, “A
Time for Everything: Reflections on the Changing Seasons” by Stacie
Petter (https://doi.org/10.1145/3371041.3371043).
- The importance of having a framework to properly scale security
organizing in organizations in "Security Organizing: A Framework for
Organizational Information Security Mindfulness " by A.J. Burns
(https://doi.org/10.1145/3371041.3371044).
- How to define and measure collaboration within social networks in the
article, "Quality Assessment of Peer-Produced Content in Knowledge
Repositories Using Big Data and Social Networks: The Case of Implicit
Collaboration in Wikipedia” by Srikar Velichety
(https://doi.org/10.1145/3371041.3371045).
- The challenges arising in the peer review process due to differences
between reviewers and authors in "Cognitive Bias in the Peer Review
Process: Understanding a Source of Friction between Reviewers and
Researchers” by Chris Street and Kerry Ward
(https://doi.org/10.1145/3371041.3371046).
- How personalized experiences on websites affect consumer behavior in
"An Experimental Study on the Swaying Effect of Web-Personalization” by
Mahesh Balan U and Saji K. Mathew
(https://doi.org/10.1145/3371041.3371047). This article is part of a
special section on New Directions in IT Workforce and Inclusion
Research, which was part of the ACM SIGMIS Computers and People
Conference in 2017.
- How the nature of the produce and web personalization can impact an
individual’s choice to purchase products in "Embarrassment Products, Web
Personalization and Online Buying Behavior: An Experimental Study” by
Kanishka Priyadharshini Annamalai, Saji K. Mathew, and Lakshmi S. Iyer
(https://doi.org/10.1145/3371041.3371048). This article is part of a
special section on New Directions in IT Workforce and Inclusion
Research, which was part of the ACM SIGMIS Computers and People
Conference in 2017.
To read these articles or access prior issues of The DATA BASE for
Advances in Information Systems, visit the ACM Digital Library
(http://dl.acm.org/citation.cfm?id=J219). For more information about how
to submit your work to The DATA BASE for Advances in Information
Systems, visit www.TheDataBase.org<http://www.TheDataBase.org>.
As a personal note from Stacie Petter, I must say that it has been a
pleasure serving as co-editor-in-chief of The DATA BASE for Advances in
Information Systems with Tom Stafford during the past three years. Stay
tuned for more great articles and research under the leadership of Deb
Armstrong and Tom Stafford.
Sincerely,
Stacie Petter & Tom Stafford
Editors-in-Chief, The Data Base for Advances in Information Systems
editors(a)thedatabase.org<mailto:editors@thedatabase.org>
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-------- Forwarded Message --------
Subject: [AISWorld] AMCIS 2020 CFP: Minitrack Computational Social
Science Research through Analytics
Date: Fri, 08 Nov 2019 07:06:30 -0800
From: Au Vo <auvo1001(a)gmail.com>
To: This is the AISWorld List Server <aisworld(a)lists.aisnet.org>
Dear Colleagues:
Please consider submitting a manuscript to the Computational Social
Science Research in Information Systems minitrack under the AMCIS 2020
Data Science and Analytics for Decision Support Track. AMCIS 2020 will
take place in Salt Lake City, Utah on August 12-16. The online
submission system opens on January 6 and closes on February 28.
Following is a short description of our minitrack and if you have any
other questions, do not hesitate to contact us. We look forward to
seeing you in Salt Lake City in 2020.
Computational social science research has garnered much interest from
multiple disciplines through the use of massive, multi-faceted, and
authentic data. A recent trend in understanding social phenomena using
computational social science research, especially through the use of
analytics has led to many discoveries of, and confirmation of hypotheses
and theories. The interdisciplinary nature of computational social
science research is suitable for our field, for Information Systems has
the ability to demonstrate both rigor and relevance of answering social
science questions through innovative use of data analytics. As a
discipline, Information Systems enable the collection, processing, and
analyzing trace data, which are event-based records of activities of
transactions that could be found in systems across organizations and the
Internet. Therefore, our field are poised to explicate interesting and
valuable insights.
Thanks to the implosion in data analytics tools such as data mining,
machine learning, artificial intelligence, researchers have the ability
to augment understanding of existing problems and elucidate current
perplexing issues. Large-scale problems are no longer a hard-to-reach
problem, but an interesting one with a plethora of research directions.
In general, the guideline for computational research has percolated
through various disciplines via leading research outlets like Nature,
Information Systems Research, Management Information Systems Quarterly,
and Communications of the ACM have started to solicit calls in this
nascent research field to attract more researchers to work on
interesting problems and theory building from data.
This minitrack encourages research on the utilization of data to
explore, and potentially answer social phenomena. Submissions may focus
on descriptive research process, novel algorithm designs, questions
forming, new and interesting directions in computational social science.
In addition, nascent theory forming through a bottom up approach using
data is especially encouraged. Research in any domains are welcome,
including but not pertaining only to, persuasion, ethics, equality,
social benefit distribution, and humanitarian efforts.
Below is a list of recommended topics, however, other relevant topics
are also welcome:
* Algorithm designs in Computational Social Science
* Computational Social Science strategies and research processes
* The role of Information Systems in Computational Social Science
* Computational Social Science interdisciplinary research
* Computational Social Science with Big Data applications
* Computational Social Science in changing and/or influencing human
behaviors
* Ethics of Computational Social Science research on human behaviors
* Nascent theory and hypothesis forming through the use of data
(quantitative grounded theory)
Reference
Berente, N., Seidel, S., & Safadi, H. (2018). Research
Commentary—Data-Driven Computationally Intensive Theory Development.
Information Systems Research, 30(1), 50–64.
Conte, R., Gilbert, N., Bonelli, G., Cioffi-Revilla, C., Deffuant, G.,
Kertesz, J., … Helbing, D. (2012). Manifesto of computational social
science. The European Physical Journal Special Topics, 214(1), 325–346.
https://doi.org/10.1140/epjst/e2012-01697-8
Giles, J. (2012). Computational social science: Making the links. Nature
News, 488(7412), 448. https://doi.org/10.1038/488448a
Rai, A. (2016). Editor’s comments: Synergies between big data and
theory. MIS Quarterly, 40(2), iii–ix.
Wallach, H. (2018). Computational Social Science ≠ Computer Science +
Social Data. Communications of the ACM, 61(3), 42–44.
https://doi.org/10.1145/3132698
Thank you for your consideration,
Best,
Au Vo (Loyola Marymount University, CA, USA - au.vo(a)lmu.edu)
Yan Li (Claremont Graduate University, CA, USA - yan.li(a)cgu.edu )
Anitha Chennamaneni (Texas A & M University Central, Texas, USA
- anitha.chennamaneni(a)tamuct.edu)
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-------- Forwarded Message --------
Subject: [AISWorld] Special Issue: Industry experiences of Artificial
Intelligence (AI): benefits and challenges in operations and supply
chain management of the Production Planning & Control
Date: Fri, 8 Nov 2019 08:45:17 +0000
From: FOSSO-WAMBA Samuel <s.fosso-wamba(a)tbs-education.fr>
To: 'aisworld(a)lists.aisnet.org' <aisworld(a)lists.aisnet.org>
Call for papers
Special Issue: Industry experiences of Artificial Intelligence (AI):
benefits and challenges in operations and supply chain management
Submission Deadline: November 30, 2019
Guest Editors
Professor Samuel Fosso Wamba, Toulouse Business School, France
Dr Maciel M. Queiroz, University of São Paulo, Brazil
Professor Ashley Braganza, Brunel Business School, UK
Dr Cameron Guthrie, Toulouse Business School, France
Recent cutting-edge technologies such as big data analytics, internet of
things (IoT), smart factories and artificial intelligence (AI) are
transforming the way people acquire and consume goods, firms manufacture
and deliver produce, and logistics networks and society interact (Bibby
& Dehe, 2018; Gölzer & Fritzsche, 2017). Together, these new concepts
and technologies are said to usher in a Fourth Industrial Revolution
(Schwab, 2017), or Industry 4.0 (Fatorachian & Kazemi, 2018). Business
models and logistics production systems need to adapt to the new
dynamics of production and consumption.
The ubiquity of smartphones and apps is drastically changing the
customer experience and expectations, allowing individuals to
participate in various stages of the production process. For example,
the combination of digital manufacturing, mobile and augmented reality
technologies allow customers to provide feedback in a co-creation
process (Mourtzis, Gargallis, & Zogopoulos, 2019), while IoT, sensors
and data analytics enable the continuous collection of usage data
throughout the entire product lifecycle. These new modes of relationship
are already impacting the work of operations and supply chain managers.
One of the most promising technologies for contemporary operations and
supply chain management (OSCM) is artificial intelligence. AI emerged in
the 1960s as "the science of making machines do things that would
require intelligence if done by men" (Minsky, 1968). Today, a new
generation of AI is being used to work on a vast array of issues
including product recommendations and customisation, dynamic pricing,
real-time production tracking, prevention of order shipment delays and
inventory shortages, customer feedback collection for product
development and supplier monitoring to minimise procurement costs (Syam
& Sharma, 2018). In addition, a subset of AI known as machine learning
is developing methods, (e.g. regression analysis, specific algorithms)
and associated technologies (e.g. sensors, APIs) that allow computer
systems to "learn" using historical data and act without human intervention.
AI can also potentially be combined with Industry 4.0 cutting-edge
technologies, such as big data analytics, blockchain, internet of things
and cyber-physical systems. The use of AI "in supply chain ecosystems
[...] in combination with human behaviour will create a new degree of
intelligence, innovation, and collaboration" in organizations (Bienhaus
& Haddud, 2018). Today's operations and supply chain managers need to
gain a better understanding about how AI can be applied to OSCM problems.
The use of AI applications within an OSCM context presents considerable
managerial and organizational challenges. For example, in the adoption
stage managers need to identify the requisite capabilities and potential
obstacles to successful AI implementation. The potential impact of AI on
operations management, production planning and control, productivity and
performance also need to be investigated. Managers need to understand
how AI initiatives affect the interplay of business, logistics and
production systems at individual, organisational and supply chain
levels. For example, AI can support individual worker's activities by
performing repetitive tasks: AI commanded robots can audit manufacturing
processes; robots can minimize the idleness of production systems when
integrated with customers and suppliers; and AI can be used for
predictive maintenance when combined with IoT and machine learning.
Behind each opportunity lies a challenge for managers to successfully
capture the benefits from AI. Little is known for instance about the
contribution of AI driven robots to production systems. From an
operations management perspective, a major challenge is how to use AI to
gain insights for demand forecasting and production planning.
More research is required into: strategies of AI use within
organizations for existing OSCM problems (e.g. production planning and
control, demand forecasting, operations management optimisation,
distribution management); the impact of AI on production processes
throughout the value chain; the drivers, enablers and obstacles to AI
adoption and use; the development of new business models; and into the
implications of AI for operations management practice.
This special issue aims to explore the role of AI in OSCM, and
especially how AI creates value in a digital age when combined with
other Industry 4.0 cutting-edge technologies. Our objective is to
stimulate research and debate both around how managers are using or
could use AI to improve OSCM practice and performance, and create
competitive advantage, as well as the enablers and inhibitors to
adoption, integration and use. This special issue invites scholars,
managers and practitioners to use case studies or other empirical
methods to report in-depth on AI applications in operations and supply
chain management.
This special issue calls for contributions to:
* In-depth cases reporting on AI technology implementation challenges
and benchmarks in operations and SCM;
* Case studies reporting AI adoption in logistics and production
systems. What are the facilitators and barriers?
* The impact and benefits provided by AI technologies in operations and SCM;
* Case studies reporting on the organisational capabilities (management,
technological) required to support successful AI project implementation;
* Productivity and performance improvements in production planning and
control through AI;
* How can managers use AI applications to capture benefits, efficiency,
productivity and value using customer product feedback?
* How can robots in manufacturing and logistics activities be employed
to improve productivity and performance? What is the role of robots in a
production system?
* Novel conceptual models and ways of theorising about AI, operations
and SCM;
* Are extant theories sufficient to explain the adoption and spread of
AI or what new theories are required for AI in OSCM?
* The link between AI and the innovation improvement capacity of an
organisation's logistics and production systems;
* The contribution of AI to knowledge and learning in logistics and
production systems;
* Barriers and benefits related to the integration of AI technologies
across the supply chain;
* How is AI impacting the decision-making process in logistics and
production systems? What are the consequences for the management
learning and knowledge?
* Frameworks to explain AI implementation in operations and SCM contexts;
* Frameworks and case studies to explain the adoption and use of AI
combined with other cutting-edge technologies in operations and SCM
contexts;
· The effects of AI on business models. How are business models changing
with the adoption of AI and related technologies? What changes do new
business models bring to operations management?
· The critical success factors in AI diffusion stages in operations and SCM.
Papers concerning these and other related critical issues in operations
and supply chain challenges are encouraged. The special issue aims to
sharpen the focus on, and raise the awareness of these critical issues,
especially those facing developing economies as well as advanced
industrial economies, and to promote research, both theoretical and
empirical, on specific digitalisation related problems and innovative
practices to address these problems.
References
Bibby, L., & Dehe, B. (2018). Defining and assessing industry 4.0
maturity levels-case of the defence sector. Production Planning &
Control, 29(12), 1030-1043.
Bienhaus, F., & Haddud, A. (2018). Procurement 4.0: factors influencing
the digitisation of procurement and supply chains. Business Process
Management Journal, 24(4), 965-984.
Fatorachian, H., & Kazemi, H. (2018). A critical investigation of
Industry 4.0 in manufacturing: theoretical operationalisation framework.
Production Planning & Control, 29(8), 633-644.
Gölzer, P., & Fritzsche, A. (2017). Data-driven operations management:
organisational implications of the digital transformation in industrial
practice. Production Planning & Control, 28(16), 1332-1343.
Minsky, M. L. (1968). Semantic information processing. Cambridge, Mass.:
MIT Press.
Mourtzis, D., Gargallis, A., & Zogopoulos, V. (2019). Modelling of
Customer Oriented Applications in Product Lifecycle using RAMI 4.0.
Procedia Manufacturing, 28, 31-36.
Schwab, K. (2017). The fourth industrial revolution. New York: Crown
Business.
Syam, N., & Sharma, A. (2018). Waiting for a sales renaissance in the
fourth industrial revolution: Machine learning and artificial
intelligence in sales research and practice. Industrial Marketing
Management, 69, 135-146.
All papers will be peer reviewed and should conform to Production
Planning & Control publication standards available at:
http://www.tandfonline.com/action/authorSubmission?journalCode=tppc20&page=…
All submissions should be made online at the Production Planning &
Control Scholar One Manuscripts website
(https://mc.manuscriptcentral.com/tppc). New users should first create
an account. Once logged on to the site, submissions should be made via
the Author Centre. Online user guides and access to a helpdesk are
available on this website.
Contact
Professor Samuel Fosso Wamba, Toulouse Business School, France,
s.fosso-wamba(a)tbs-education.fr<mailto:s.fosso-wamba@tbs-education.fr>
Dr Maciel M. Queiroz, University of São Paulo, Brazil,
maciel.queiroz(a)usp.br<mailto:maciel.queiroz@usp.br>
Professor Ashley Braganza, Brunel Business School, UK,
ashley.braganza(a)brunel.ac.uk<mailto:ashley.braganza@brunel.ac.uk>
Dr Cameron Guthrie, Toulouse Business School, France,
c.guthrie(a)tbs-education.fr<mailto:c.guthrie@tbs-education.fr>
For more info:
https://think.taylorandfrancis.com/industry-experiences-of-artificial-intel…
......................................................................................
Dr Samuel FOSSO WAMBA, Ph.D., HDR
Professor in Information Systems and Data Science| TBS Service |
Toulouse Business School
Head of The Artificial Intelligence and Business Analytics Cluster
s.fosso-wamba(a)tbs-education.fr<mailto:s.fosso-wamba@tbs-education.fr> |
+33 5 61 29 50 54 |
www.fossowambasamuel.com<http://www.fossowambasamuel.com/>
www.tbs-education.com<http://www.tbs-education.fr/en?utm_source=signature-en&utm_medium=email-en&…>
[Toulouse Business
School]<http://www.tbs-education.fr/en?utm_source=signature-en&utm_medium=email-en&…>
[TBS
news]<http://www.tbs-education.fr/en/go/signature-blockcom-en/?utm_source=signatu…>
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-------- Forwarded Message --------
Subject: [WI] 20th ACM/IFIP International Conference on Middleware
2019: Call for all Doctoroal Symposium
Date: Tue, 10 Sep 2019 09:26:28 +0200
From: Vinay Setty <vsetty(a)mpi-inf.mpg.de>
Reply-To: Vinay Setty <vsetty(a)mpi-inf.mpg.de>
To: wi(a)lists.kit.edu
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
MIDDLEWARE 2019
9-13 December 2019
UC DAVIS, CA
http://2019.middleware-conference.org
Call for Doctoral Symposium Papers and Participation
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
The annual ACM/IFIP Middleware conference is a major forum for the
discussion of innovations and recent scientific advances of middleware
systems with a focus on the design, implementation, deployment, and
evaluation of distributed systems, platforms and architectures for
computing, storage, and
communication.
Middleware 2019 will be held at UC Davis, California from 9 to 13
December 2019.
The conference will include a doctoral symposium, to which all PhD
students working on the topics of the Middleware conference are invited
to apply. The doctoral symposium will be held prior to the main conference.
The Middleware doctoral symposium is a welcoming and supportive
environment allowing all PhD students to receive feedback, discuss their
work, and prepare to get the most out of their participation to the main
conference.
All participating students will be offered the opportunity to engage
with their peers, as well as with senior academic and industrial members
of the Middleware community. This will include the feedback of panel
members on the day of the symposium and individual meetings with a
personal mentor during the conference.
The symposium is open to PhD students at any stage of their studies.
Applicants will be divided into two groups:
- Planners: students at an early-stage of their thesis who are focused
on crafting their research proposal and completing background research.
- Finishers: students closer to finishing their thesis or dissertation
and thinking about how to present their research, its results, and its
impact.
All PhD students carrying out research on middleware topics are invited
to submit a position paper to the doctoral symposium. Papers will be
peer-reviewed by the symposium’s committee of selected mentors. The
criteria for accepting papers includes the extent of the contribution of
the work to the field, the originality of the problem, and the overall
quality of the position paper.
Position papers should fit within the topics of the Middleware 2019 main
conference Call for Papers.
Position papers are limited to 2 pages (for students in the planner
category) or 4 pages (for students in the Finishers category).
Submissions must use the same format as for research papers (ACM SIGPLAN
9pt or 10pt). The suggested content is detailed on the Middleware 2019
website:
http://2019.middleware-conference.org/doctoral.html
Contributions to the Middleware 2019 PhD Workshop will appear in a
proceedings that supplements the main conference proceedings.
Accepted position paper will lead to a presentation during the doctoral
symposium, which may require the preparation of a poster for the
symposium and for the main conference.
Doctoral students that submit their work to this symposium are strongly
encouraged to apply for student travel grants to attend Middleware 2019.
Students participating in the doctoral symposium will be given priority
for the travel grants.
Paper submission site: https://middleware19ds.hotcrp.com/
Important dates
- Position papers submission: September 27, 2019
- Notification: October 11, 2019
- Camera Ready: October 18, 2019
Doctoral Symposium chairs
- Faisal Nawab, University of California Santa Cruz, USA
- Etienne Riviere, UCLouvain, Belgium
Contact the chairs at middleware19dw(a)uclouvain.be
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-------- Forwarded Message --------
Subject: [AISWorld] CHAOSScon EU 2020
Date: Thu, 7 Nov 2019 05:31:43 -0600
From: Matt Germonprez <germonprez(a)gmail.com>
To: aisworld(a)lists.aisnet.org
Dear Colleagues,
-------------------------------------------------------------------------------------------
Submit a Talk to CHAOSScon EU 2020: https://tinyurl.com/y6pfoffh
-------------------------------------------------------------------------------------------
CHAOSScon is a conference hosed by the Linux Foundation's CHAOSS project:
https://chaoss.community/
CHAOSScon EU 2020 will be on Jan 31, 2020 in Brussels, Belgium.
The CHAOSS project is focused on the development of metrics and software,
providing insight into open source community health. As corporations,
foundations, conservancies, and governments increasingly rely on open
source software as part of their work, understanding the health of related
open source communities is becoming increasingly relevant.
If you are doing work in this space and are interested in sharing that work
with a diverse group of people also sharing this interest, consider
submitting to CHAOSScon EU 2020. Details:
*Call for Talk Proposals*
Submit: https://tinyurl.com/y6pfoffh
- Closes: Saturday, November 30, 2019
- Notifications: Monday, December 9, 2019
*When *
January 31, 2020
9am to 5:30pm
The day before FOSDEM begins
*Where*
Hotel ibis Brussels City Centre
Rue Joseph Plateau N°2, 1000
Brussels, Belgium
*CHAOSScon Code of Conduct*
https://events.linuxfoundation.org/about/code-of-conduct/
Matt Germonprez
--
Mutual of Omaha Professor
Information Systems
College of Information Science & Technology
University of Nebraska Omaha
CV: https://bit.ly/2kftONr
Omaha Parks Foundation Board Member
http://omahaparksfoundation.org/
he / him / his
_______________________________________________
AISWorld mailing list
AISWorld(a)lists.aisnet.org
-------- Forwarded Message --------
Subject: [WI] CfP - EMoWI 2020 - Ethik und Moral in der
Wirtschaftsinformatik / Ethics and Morality in Business Informatics
(@WI2020 in Potsdam)
Date: Thu, 7 Nov 2019 12:12:42 +0100
From: Jens Gulden <jens.gulden(a)uni-due.de>
Reply-To: Jens Gulden <jens.gulden(a)uni-due.de>
To: wi(a)lists.kit.edu
------------------------------------------------------------------------------
Call for Papers
Ethik und Moral in der Wirtschaftsinformatik (EMoWI) 2020
Ethics and Morality in Business Informatics 2020
Conference Wirtschaftsinformatik 2020
Potsdam, 8 Mar – 11 Mar 2020
https://sites.google.com/view/EMoWI2020
Submission / Einreichung:
https://easychair.org/conferences/?conf=emowi2020
------------------------------------------------------------------------------
2020-01-05 Submission deadline / Einreichungsfrist
2020-02-07 Notifications to authors / Benachrichtigung der Autoren
2020-02-14 Camera-ready Version
2020-03-08 Workshop in Potsdam (Sunday/Sonntag!)
According to Immanuel Kant, ethics is concerned with the question, “What
ought I to do?”, as opposed to the other three basic questions “What can
I know?”, “What can I hope?”, and “What is human?”. “What ought I to do
as a Business Informatics researcher?” therefore is the central question
of the theme “Ethics and Morality in Business Informatics”. As this
question is fundamentally philosophical in nature, it does not only
concern judgments about proper conduct in specific situations. Instead,
the questions invites reflections at a higher level of abstraction,
enabling a critical reflection about methodological principles of our
discipline from a distinctively philosophical outlook.
For example, it is possible to examine how basic principles and concepts
of Business Informatics are related to more encompassing concepts of
human life in general. In this vein, concepts like process,
architecture, decision model, algorithm, and organizational rule can be
studied against the backdrop of concepts like Weltanschauung, human
rights, and values. The workshop “Ethics and Morality in Business
Informatics” is meant to address questions of this kind.
(Deutsche Version s.u.)
Topics
Submissions to the workshop are invited to discuss ethical and moral
questions arising in the whole spectrum of topics of Business
Informatics. The following suggestions provide an impression of the
intended orientation of the workshop, but you are cordially invited to
propose additional topics.
- Are the subjects of Business Informatics associated with specific
ethical questions? As the subjects in Business Informatics typically are
intangible, does this raise a need for specific procedures to justify
proper conduct of Business Informatics research?
- Do (research) methods in Business Informatics involve specific value
statements or Weltanschauung?
- Which implications for classical moral philosophies arise from recent
developments in Artificial Intelligence (AI) research?
- What challenges arise from the availability of IT-supported machines
that should act as stand-alone agents (autonomous cars, drones)? Are
there any pitfalls in Machine Learning based decision support?
- Are certain species of moral philosophies (e. g., deontologist or
consequentialist moral theories) especially relevant for Business
Informatics? Do typical decision models in Business Informatics
implicate the basic principles of specific moral theories (e. g.,
consequentialism)?
- What kind of statements could a „Code of Ethics“ for Business
Informatics professionals include (as opposed to the “Code of Ethics” of
ACM)?
- What experiences in relation to ethical questions were made in
previous Business Informatics research projects?
- What initiatives concerning ethical values in Business Informatics do
already exist in academia and industry? What are the results of these
initiatives?
- How are ethical topics considered in Business Informatics curriculums
at universities world-wide?
...and many more.
Submission
The workshop invites submissions that discuss actions or principles of
actions as manifested in methodological assumptions and commitments in
Business Informatics from an ethical point of view. This also includes
experience reports about concrete projects in academia and industry
where questions about right and wrong conduct played a significant role.
Submissions are both invited to raise questions and to report about
situations where questions have already been answered in specific ways.
Philosophical methods of inquiry are welcome, but not required.
Each submission will be reviewed by 3 members of the program committee.
Accepted submissions must be presented by at least one author at the
workshop, and it is planned to publish them as ceur-ws.org online
proceedings.
The maximum page number of submissions is 10 pages (including title,
abstract, bibliography, appendixes, author names and affiliations and
acknowledgments). Short papers with a size up to 4 pages are also
welcome. The abstract should not exceed 150 words. Keywords are
optional. Please upload your submission at
https://easychair.org/conferences/?conf=emowi2020.
The proceedings of the previous EMoWI'19 workshop are published at
http://ceur-ws.org/Vol-2297/.
Organization
Jens Gulden, Utrecht University, Department of Information and Computing
Sciences, Princetonplein 5, De Uithof, 3584 CC Utrecht, The Netherlands,
Tel: +31 30 2537088, j.gulden(a)uu.nl
Alexander Bock, University of Duisburg-Essen, Information Systems and
Enterprise Modeling, Universitätsstr. 9, 45141 Essen, Germany, Tel: +49
201 18-34563, alexander.bock(a)uni-due.de
Sergio España Cubillo, Utrecht University, Department of Information and
Computing Sciences, Princetonplein 5, De Uithof, 3584 CC Utrecht, The
Netherlands, Tel: +31 30 2535913, s.espana(a)uu.nl
----- Deutsche Version -----
Ethik bezeichnet den Teilbereich der Philosophie, der nach Kant über die
philosophische Grundfrage „Was soll ich tun?“ reflektiert, in Abgrenzung
zu den drei anderen Grundfragen „Was kann ich wissen?“, „Was darf ich
hoffen?“, und schließlich der Frage „Was ist der Mensch?“. „Was soll ich
als Wirtschaftsinformatiker tun?“ ist damit die Grundfrage, mit der sich
ein Themenbereich „Ethik und Moral der Wirtschaftsinformatik“
auseinandersetzt. Als ethische Frage mit philosophischem Anspruch
gestellt geht es dabei nicht nur um kontextbezogene methodische
Einzelaussagen. Die Frage kann auch auf einer Abstraktionsebene oberhalb
der methodischen Prinzipien unserer Disziplin gestellt werden, mit
philosophischer Distanz und unabhängig von spezifischen kontextuellen
Gegebenheiten.
Um dieses Abstraktionsniveau zu erreichen können beispielsweise
fachliche Grundprinzipien der WI in Bezug zu übergreifenden Konzepten
des menschlichen Lebens gesetzt werden. Dazu zählen die Reflexion über
Begriffe wie Prozesse, Architekturen, Algorithmen und organisationale
Regeln vor dem Hintergrund von Weltanschauung, Menschenwürde und Werten.
Der Workshop bietet eine Plattform für die ethische Reflexion von Themen
aus dem gesamten fachlichen Spektrum der Wirtschaftsinformatik. Er
versteht sich damit als Querschnitts-Workshop mit großer thematischer
Breite.
Themen
Einreichungen zum Workshop sind eingeladen, ethische und moralische
Fragen aus dem gesamten thematischen Spektrum der Wirtschaftsinformatik
zu behandeln. Die nachfolgend aufgeführten Themenvorschläge geben einen
Eindruck über die Ausrichtung des Workshops, können aber gerne ergänzt
werden.
- Sind die Betrachtungsgegenstände der WI mit spezifischen ethischen
Fragen verbunden? Ergeben sich aus den zumeist intangiblen
Betrachtungsgegenständen der WI besondere ethische Herausforderungen in
Bezug auf Begründbarkeit und Rechtfertigung des Handelns von
Wirtschaftsinformatikern?
- Manifestieren sich in den Methoden der WI spezifische Wertesysteme
oder Weltanschauungen?
- Welche Implikationen haben jüngere Entwicklungen wie z.B. Ergebnisse
der Künstliche Intelligenz (KI)-Forschung für klassische Moralphilosophien?
- Welche Herausforderungen ergeben sich aus der Verfügbarkeit von
IT-gestützten Maschinen, die als eigenständige Agenten auftreten sollen
(autonome Autos, Drohnen)? Liegen Gefahren in einer auf Machine Learning
basierenden Entscheidungsunterstützung?
- Sind spezifische moralphilosophische Theorieströme (z. B.
deontologische und konsequentialistische Moraltheorien) für die WI von
besonderer Relevanz? Manifestieren sich in einschlägigen
Entscheidungsmodellen der WI Grundprinzipien bestimmte Moraltheorien (z.
B. des Konsequentialismus)?
- Auf welche Aspekte sollte ein „Code of Ethics“ für die
Wirtschaftsinformatik, ggf. in Abgrenzung zum „Code of Ethics“ der ACM,
besonders eingehen?
- Welche individuellen Erfahrungen haben Wirtschaftsinformatiker mit
ethischen Fragen bei der Lösung fachlicher Aufgabenstellungen gemacht?
- Welche Initiativen zum Umgang mit ethischen Werten der WI existieren
auf akademischer und industrieller Ebene? Und welche Auswirkungen haben
sie bisher?
- Welche Berücksichtigung finden ethische Themen in WI-Lehrplänen weltweit?
u. v. a. m.
Einreichung
Der Workshop heißt alle Einreichungen willkommen, die Handlungen von
Wirtschaftsinformatikern oder Handlungsprinzipien in methodologischen
Annahmen und Festlegungen der WI aus ethischer Perspektive
thematisieren. Das beinhaltet auch Berichte aus konkreten Projekten in
Wissenschaft und Praxis, in denen Fragen nach dem richtigen oder
notwendigen Handeln eine Rolle spielen. Es können ebenso offene Fragen
gestellt werden wie über Situationen berichtet werden, in denen ethische
oder moralische Fragen bereits beantwortet wurden. Die Anwendung
spezifisch philosophischer Untersuchungsmethoden ist nicht erforderlich,
aber selbstverständlich willkommen.
Jede Einreichung wird von 3 Mitgliedern des Programmkomitees
peer-reviewed. Die angenommenen Beiträge müssen von mindestens einem
Autor im Workshop vorgestellt werden und es ist geplant, sie in einem
Tagungsband als ceur-ws.org Online-Proceedings zu veröffentlichen.
Einreichungen dürfen eine Länge von 10 Seiten nicht überschreiten
(inklusive Titel, Abstract, Literaturverzeichnis, Anhängen sowie
Autorendetails und Danksagungen für überarbeitete Beiträge) und müssen
ein Abstract von max. 150 Wörtern voranstellen. Kurzpapers mit einer
Länge von bis zu 4 Seiten sind ebenfalls willkommen. Keywords sind
optional. Bitte uploaden Sie Ihre Einreichung im PDF Format unter
https://easychair.org/conferences/?conf=emowi2020.
Die Proceedings des vorhergehenden EMoWI'19 Workshops sind unter
http://ceur-ws.org/Vol-2297/ veröffentlicht.
--
Dr. Jens Gulden
Business Process Management and Analytics
Department of Information and Computing Sciences
Utrecht University
Buys Ballotgebouw, Princetonplein 5, room 512
3584 CC Utrecht, The Netherlands
mail j.gulden(a)uu.nl
tel +31 30 2537088
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Administrator: wi-request(a)lists.kit.edu
Konfiguration: https://www.lists.kit.edu/wws/info/wi
-------- Forwarded Message --------
Subject: [AISWorld] Second call for the SIGPHIL@ICIS Workshop on the
End of Theory in IS and Analytics: Does Big Data Really Make the
Scientific Method Obsolete?
Date: Wed, 6 Nov 2019 18:25:12 -0600
From: Nik Rushdi Hassan <nhassan(a)d.umn.edu>
To: AISWorld <aisworld(a)lists.aisnet.org>
Dear IS colleagues,
This year's popular SIGHPHIL@ICIS workshop tackles what's on every IS
researcher's mind -- where are my IS theories? It is inconceivable for a
field so relevant to this social media era of "fake news", weaponized
information, disruptive technologies, Big Data, and what Soshana Zuboff
calls "surveillance capitalism," not to be brimming with its own theories
about all these phenomena. If you haven't watched Zuboff's interview on the
latest PBS Frontline show "In the Age of AI" you don't want to miss it! Our
IS researchers are positioned in the best possible intellectual space to
respond to all these issues.
Is analytics being exported from the US and China to other countries that
want to control their citizens? What is the future outlook for jobs as AI
and analytics take over? "We thought we were searching Google. We have no
idea that Google was searching us" ~ Zuboff. Facebook and other social
media providers have been hiding the extent of their collection of private
data. How can we make this more transparent to the average user? What will
happen when analytics that have so far been successful at suggesting what
next to buy or what next to watch become also good at deepening
inequalities, challenging democracies, and dividing nations and the world.
Do we not have our own concepts and theories that can address such issues?
These are but a few of the questions that remain unanswered and our line-up
of speakers and panelists that include AIS LEOs Kalle Lyytinen, Rudy
Hirschheim, Fellows Alan Hevner, Shirley Gregor, Leslie Willcocks, Alan
Dennis, and other experts on analytics like Ahmed Abassi, Vasant Dhar,
Foster Provost, Sumit Sarkar and Ramesh Sharda will address. The goal of
the SIGPHIL workshop is to provide an opportunity to spend quality time
with thought leaders of the IS community and listen to the interesting
backstories and "behind the scenes" revelations in an informal and
friendly environment.
Because the workshop is held in the evenings of ICIS, you will still be
able to attend it if you are attending any pre-ICIS programs and of course,
you can always attend the workshop even if you are not attending ICIS
conference, and dinner is included.
If you have already registered for ICIS, go to
https://icis2019.aisconferences.org/register/ to add the workshop or just
add the workshop when you register for the ICIS conference. You can also
register just for the workshop.
Don't hesitate to email me directly at nhassan(a)d.umn.edu if you have any
questions.
See you there!
Workshop co-chairs
Nik Rushdi Hassan, Varun Grover, Leslie Willcocks
SIGPHIL@ICIS 2019, Dec 15-16, Munich, Germany
The End of Theory in IS and Analytics: Does Big Data Really Make the
Scientific Method Obsolete?
In conjunction with the 2019 International Conference of Information
Systems (ICIS), the AIS Special Interest Group on Philosophy in Information
Systems (AIS-SIGPHIL) will hold its 8th Concurrent SIGPHIL@ICIS Research
Workshop during two evenings of the ICIS conference in Munich, Germany at
the Internationales Congress Center München (ICM). Following last year’s
SIGPHIL@ICIS, this year’s event continues the call for the edited series on
“Advancing IS theories” by Nik Hassan and Leslie Willcocks. At the same
time, the workshop provides an excellent opportunity to spend quality time
with thought leaders of the IS community in an informal and friendly
environment.
Workshop Presenters, Organizing Committee and Contributors (in alphabetical
order)
Ahmed Abbasi, University of Virginia
Alan Dennis, Indiana University
Vasant Dhar, New York University
Varun Grover, University of Arkansas
Nik Rushdi Hassan, University of Minnesota Duluth
Alan Hevner, University of South Florida
Shirley Gregor, Australian National University
Rudy Hirschheim, Louisiana State University
Kalle Lyytinen, Case Western Reserve University
Foster Provost, New York University
Sumit Sarkar, University of Texas Dallas
Ramesh Sharda, Oklahoma State University
Leslie Willcocks, London School of Economics
Workshop Theme
The title of this workshop is paraphrased from the title of an
editorial by *Wired
Magazine’s* chief editor Chris Anderson (2008) who argued that with big
data, we no longer have to settle for imperfect models, and since the
scientific method relies on models from which we test hypotheses, big data
has essential made the scientific method obsolete. Extending this argument,
because theory is the goal of the scientific method, theory itself becomes
unnecessary. Why do we need theory when big data can already help us
predict? Not surprisingly this claim has attracted much attention from both
industry and academia (Mayer-Schönberger and Cukier, 2013; Kitchin, 2014).
Like many highly cited pieces, the *Wired* editorial has taken on a life of
its own, as it is interpreted and reinterpreted by many to support their
own stance on the topic of theory. Another article from *Wired
Magazine* (Steadman,
2013) featured how big data predicted Osama bin Laden’s location from
publicly available data without any need for models or theories. In other
words, “it just needs to work: prediction trumps explanation” (Siegel,
2016, p. 90). Some of these researchers take big data research as an
extreme form of empiricism to reignite long-standing debates surrounding
the legitimacy of the social sciences and eagerly use big data to claim the
status of the natural sciences for their own works. Big data has supposedly
shifted the paradigm of research itself which previously could only take
place as a result of trade-offs among generality, control and realism
(Chang,
Kauffman and Kwon, 2014). “Computational social science” (Lazer et al.,
2009) using big data is free of those trade-offs. Others are more cautious.
Mayer-Schönberger and Cukier (2013) consider preposterous the claim that
generalizable rules are irrelevant. For example, they argue that the
process of collecting big data itself is based on some kind of theory.
For a field that is still struggling with theory and the role of theory in
its research, this debate about the relevance and irrelevance of theory
vis-a-vis analytics places our researchers in a difficult position on at
least two levels. First, theory for description, explanation and prediction
for any area within IS – analytics included – is itself being put to
question by big data. Second, theory building within and for analytics as a
subfield of IS too is unclear. At the first level, can practical questions
that are targeted by analytics for specific instances (Will the customer
buy? Can the MRI show anomalies?) be generalized? At the second level, why
do we, IS researchers, need to worry about theory in analytics when all of
its theoretical foundations were already built by scholars of statistical
learning theory, computer science and operations research? Only a few
scholars have addressed theory for analytics directly (Shmueli and Koppius,
2011; Agarwal and Dhar, 2014; Abbasi, Sarker and Chiang, 2016) while the
rest of the IS community remain silent. Of the few IS studies that do
address theory, they mostly introduce the notion of theory building within
analytics as a consequence of the predictive analytics process rather than
explanatory theory in general or foundational analytics theories that cut
across all analytics processes including data collection, data preparation
and cleaning, exploratory data analysis, model building, evaluation and
deployment. Anecdotal evidence suggest that the IS community may have
gravitated towards the notion that theory is indeed irrelevant for business
analytics. For instance, an editor for a prestigious IS conference noted:
“we have witnessed explosive growth of the business analytics field in this
decade, both in research and in practice. So, why is theory building
mandatory for the growth and legitimacy of the field?” Such as a state of
affairs is problematic, not the least because the majority of programs in
business analytics (BA) in the Schools of Business around the world are led
by IS scholars and researchers.
The discussion on theory in the field has left us unclear about whether or
not theory does or does not play a major role and whether theory for
business analytics matter at all. It may be clear to most within the IS
field that our researchers are not expected to invent the next Hadoop or
MapReduce, or even to write the next classification or clustering
algorithm. If those technologies are not where our efforts should be
expended, what exactly is the role of the IS researcher, and by extension,
the practice of BA that is most relevant to IS? Is the IS researcher left
with the trite and uninspiring task of researching the adoption or
acceptance of big data analytics? Or can the IS researcher, as Dhar (2013)
proposes, provide interesting answers to questions that we do not yet know?
Or even better, as Pentland (2014) claims, we can solve macro-level
problems using the micro-level big data that are being analyzed and “build
a society that is better at avoiding market crashes, ethnic and religious
violence, political stalemates, widespread corruption, and dangerous
concentrations of power” (p. 17), all of which cannot do without solid
theoretical foundations.
Edited Book Series: Advancing IS Theories
This struggle for theory is the theme for this year’s SIGPHIL@ICIS
workshop, focusing on theory in business analytics and supporting the goals
of a planned series of volumes on information systems (IS) titled:
“Advancing Information Systems Theories.” The goal of this series of volume
is to advance IS research beyond borrowed legitimization and derivative
research towards fresh and original research that naturally comes from its
own theories – information system theories. The first volume on the process
of IS theorizing is in the final stages of review and near publication. The
second volume concerns efforts that approach theories – what Weick (1995)
calls “interim struggles.” This volume comes out of the realization that
the process of theorizing can be long and arduous and like all great
things, will not be built in a day, much less in an edited volume. So,
although they may not be called theories with a capital “T,” they
nevertheless approximate theory and should not be dismissed. They may be
called “principles,” “propositions,” “models,” “paradigms,” “concepts,”
“frameworks” or what have you. They are the products of theorizing and are
precursors to strong theory, and as long as they are fresh and original,
they go a long way in advancing IS theories. A demonstrative list of
chapters for Vol. II is provided below:
Introduction: The products of IS theorizing (Hassan, Mathiassen &
Lowry)
1
The prospects of theory for business analytics
20
A review of information theory in information systems (McKinney)
40
Design principles in design science (Gregor and Hevner)
60
IS Concepts: Declaring IS to the world
80
Mapping an IS research framework
100
Models and contexts of discovery in IS
120
IS constructs and variables
140
A collection of IS propositions
160
[Tentative] Program Schedule Sunday, Dec 15, 2019 (Location: TBD)
7:30pm-7:40pm: Introductions by Nik Hassan: The goals for the workshop and
the notion of products of theorizing
7:40pm – 8:10pm First Plenary Keynote by Varun Grover and Kalle Lyytinen on
“Role of theory in the environment of big data”
8:10pm-8:40pm Second Keynote by Rudy Hirschheim on “Big Data is anathema to
theory and understanding” followed by Q&A
10 min Coffee Break
9:00-9:30pm Third Keynote by Alan Hevner and Shirley Gregor (via Skype) on
“The Scientific Method is Alive and Kicking in Design Science Research for
Analytics”
9:30pm-10:00pm Panel response to Keynotes: Panelist Sumit Sarkar and Ramesh
Sharda
Monday, Dec 16, 2019 (Location: TBD)
Dinner 5:30-7:00pm (Venue: TBD)
7:00pm-7:15pm: Brief introduction by Leslie Willcocks: Where are the IS
Theories in Analytics?
7:15pm-7:50pm Third Keynote, Ahmed Abbasi on “The Pendulum has Swung: From
Big Data Hubris to AI Hubris” with Discussion and Q&A
7:50-8:30pm Skype Guest Speakers Vasant Dhar and Foster Provost on
“Prospects of Theory with Big Data Analytics”
10 min Coffee Break
8:45pm-9:30pm Workshop wrap-up discussion by Alan Dennis, Rudy Hirschheim
and Leslie Willcocks
References
Abbasi, A., S. Sarker and R. Chiang. (2016). “Big data research in
information systems: Toward an inclusive research agenda.” *Journal of the
Association for Information Systems*, *17*(2), i–xxxii.
Agarwal, R. and V. Dhar. (2014). “Big data, data science, and analytics:
The opportunity and challenge for IS research.” *Information Systems
Research*, *25*(3), 443–448.
Anderson, C. (2008). “The end of theory.” *Wired*, *16*(7), 71.
Chang, R. M., R. J. Kauffman and Y. Kwon. (2014). “Understanding the
paradigm shift to computational social science in the presence of big
data.” *Decision Support Systems*, *63*, 67–80.
Dhar, V. (2013). “Data science and prediction.” *Communications of the ACM*,
*56*(12), 64–73.
Kitchin, R. (2014). *The Data Revolution: Big Data, Open Data, Data
Infrastructures & Their Consequences*. Thousand Oaks, CA: SAGE Publications.
Lazer, D., A. Pentland, L. Adamic, S. Aral, A.-L. Barabási, D. Brewer, … M.
Van Alstyne. (2009). “Computational social science.” *Science*, *323*(5915),
721–723.
Mayer-Schönberger, V. and K. Cukier. (2013). *Big Data: A Revolution That
Will Transform How We Live, Work, and Think*. New York: Houghton Mifflin
Harcourt.
Pentland, A. (2014). *Social Physics: How Good Ideas Spread -- the Lessons
from a New Science*. New York: Penguin Press.
Shmueli, G. and O. Koppius. (2011). “Predictive analytics in information
systems research.” *MIS Quarterly*, *35*(3), 553–572.
Siegel, E. (2016). *Predictive Analytics: The Power to Predict Who Will
Click, Buy, Lie, or Die*. New York: Wiley.
Steadman, I. (2013). “Big data, language and the death of the theorist
(Wired UK).” Retrieved from
http://www.wired.co.uk/news/archive/2013-01/25/big-data-end-of-theory
(visited on September 27, 2019)
Weick, K. E. (1995). “What theory is not, theorizing Is.” *Administrative
Science Quarterly*, *40*(3), 385–390.
--
Nik Rushdi Hassan, PhD and Assoc. Professor of MIS
Head, Dept of Management Studies
Labovitz School of Business and Economics
University of Minnesota Duluth
1318 Kirby Drive, LSBE 385A
Duluth MN 55812
Office Phone: (218) 726-7453
Fax: (218) 726-7578
Home Page: www.d.umn.edu/~nhassan
Email: nhassan(a)d.umn.edu
LinkedIn: www.linkedin.com/in/nikrushdi/
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