-------- Forwarded Message --------
Subject: Re: [TCLCORE] branch no-master-slave
Date: Wed, 15 Jul 2020 16:56:29 +0200
From: Pietro Cerutti via Tcl-Core <tcl-core(a)lists.sourceforge.net>
Reply-To: Pietro Cerutti <gahr(a)gahr.ch>
To: Tcl Core List <tcl-core(a)lists.sourceforge.net>
Not sure if everybody’s aware, but this is being discussed as an ietf
draft:
https://tools.ietf.org/id/draft-knodel-terminology-02.html
Note that parent/child is not part of the suggested list of
alternatives, if you want to take that into consideration.
--
Pietro Cerutti
On 15 Jul 2020, at 16:43, Kevin Kenny <kevin.b.kenny(a)gmail.com
<mailto:kevin.b.kenny@gmail.com>> wrote:
> I exaggerated slightly. The case I had in mind was Los Angeles
> County, California, in 2003, requesting that its vendors change the
> terminology because it was racially offensive. It was initially
> misreported as a mandate; the county subsequently clarified that it
> was a request. Several vendors did indeed comply.
>
> Good terms for replacement depend strongly on context. For Tk images,
> which are the chief uses of the term that come to mind in our
> published API, 'prototype' and 'replica' might be appropriate. In
> other contexts, 'initiator' and 'target', 'actor' and 'helper',
> 'manager' and 'worker', or 'parent' and 'child' may be preferable.
>
> 'Slave' is nearly as offensive a term in certain circles of the US in
> 2020 as 'leader' is in Germany. Your pointing out that
> 'leader/follower' is a non-starter there proves that the choice of
> words does indeed matter.
>
> On Wed, Jul 15, 2020 at 5:30 AM Dipl. Ing. Sergey G. Brester
> <sebres(a)users.sourceforge.net <mailto:sebres@users.sourceforge.net>>
> wrote:
>>
>> Nice claim, Kevin...
>>
>> You are surely able to prove your assertion with facts, and I mean
>> some concrete case here.
>> Because I'm really interesting which countries there are that
>> prohibit the usage of this words by law in documents or source code.
>>
>> There are many alleged "world-improver" around doing a busywork by
>> rummaging through a documents and writing critique, but please, don't
>> defend it to me...
>> Because mostly they did not write a single productive line by them self.
>> Let alone such actions would not lead to something other as rewriting
>> the history. And certainly will not help to fight against real racism
>> and the oppression of minorities.
>>
>> Regards,
>> Serg.
>>
>> Am 14.07.2020 18:52, schrieb Kevin Kenny:
>>
>> On Tue, Jul 14, 2020 at 8:05 AM Dipl. Ing. Sergey G. Brester via
>> Tcl-Core <tcl-core(a)lists.sourceforge.net
>> <mailto:tcl-core@lists.sourceforge.net>> wrote:
>>
>>
>> There are jurisdictions in which these words are prohibited by law in
>> deliveries on government contracts.
>>
>> The law in question may or may not be silly pandering to the language
>> police, but it remains the law.
>
>
>
> --
> 73 de ke9tv/2, Kevin
>
>
> _______________________________________________
> Tcl-Core mailing list
> Tcl-Core(a)lists.sourceforge.net <mailto:Tcl-Core@lists.sourceforge.net>
> https://lists.sourceforge.net/lists/listinfo/tcl-core
-------- Forwarded Message --------
Subject: [WI] WI2021: "Digital Services & Hybride Wertschöpfung"
Date: Wed, 15 Jul 2020 10:48:01 +0200
From: Jens Pöppelbuß <jens.poeppelbuss(a)ruhr-uni-bochum.de>
Reply-To: Jens Pöppelbuß <jens.poeppelbuss(a)ruhr-uni-bochum.de>
To: wkwi(a)listserv.dfn.de, wi(a)aifb.uni-karlsruhe.de
Liebe Kolleginnen und Kollegen,
wir laden herzlich zur Einreichung von Beiträgen zum Track "Digital
Services & Hybride Wertschöpfung" auf der WI2021 ein.
Weitere Informationen erhalten Sie unter:
https://wi2021.de/digital-services-hybride-wertschoepfung/.
Die Frist zur Einreichung der Beiträge ist der 14.08.2020.
*Track-Beschreibung: *
Digitale Services erreichen in unserem privaten Alltag sowie in den
Geschäftsbeziehungen zwischen Unternehmen eine wachsende Bedeutung.
Virtuelle Services ergänzen oder ersetzen reale Services, um
Kundenwünsche effektiver und effizienter oder in ganz neuen Arten und
Weisen erfüllen zu können. Auch die Grundidee einer hybriden
Wertschöpfung mit integrierten und auf die Kundenanforderungen
ausgerichteten Bündel aus Sach- und Dienstleistung lässt sich gerade
durch die zunehmende Digitalisierung und Vernetzung von Produkten in
immer größerem Umfang tatsächlich umsetzen. Bekannte Beispiele sind
bspw. Telematik-gestützte Kfz-Versicherungen, Audio- und
Video-Streaming-Dienste oder Predictive Maintenance von industriellen
Maschinen und Anlagen. Gleichzeitig erhöht sich die Komplexität bei der
Initiierung, der Entwicklung und der Erbringung von digitalen Services
sowie hybriden Leistungsbündeln bzw. Produkt-Service-Systemen, da diese
die enge Einbindung der Ressourcen von sowohl Kunden als auch Partnern
erfordern.
Dieser Track lädt zur Einreichung von Beiträgen ein, die aktuelle und
relevante Forschungsergebnisse zur Innovation mit digitalen
Dienstleistungen berichten. Der Kontext von Dienstleistung ist für
diesen Track nicht eingeschränkt und kann von personennahen
Dienstleistungen bis hin zu industriellen Smart Services reichen. Es
können qualitativ- und quantitativ-empirische sowie
gestaltungsorientierte Arbeiten eingereicht werden. Auch konzeptionelle
bzw. theoretische Beiträge, die zu einem besseren Verständnis von
digitaler Dienstleistungsinnovation und hybrider Wertschöpfung dienen,
sind herzlich willkommen.
*Mögliche Themenfelder: *
·Smart Services
·Digital Servitization
·Datenbasierte, digitale Dienstleistungen
·Produkt-Service-Systeme und hybride Leistungsbündel in der Industrie
und für private Endkunden
·Conversational Agents, digitale Assistenz, Service-Robotik und
künstliche Intelligenz in der Dienstleistungserbringung
·Kundenintegration in Innovations- und Dienstleistungsprozessen
·Geschäftsprozessmanagement in der Dienstleistung
·Dienstleistungsinnovation, Service Engineering und Service Design
·Einsatz von Entwicklungs- und Modellierungsmethoden für
Smart-Service-Systeme
·Entwicklung von Methoden, Tools und weiteren Artefakten zur
Dienstleistungsinnovation
·Digitale Innovation im Handel und Omni-Channel-Retailing
·Organisationsentwicklung zur Ermöglichung von Dienstleistungsinnovation
·Inter-organisationale Service-Systeme, Dienstleistungsnetzwerke und
Service Ecosystems
·Plattformgeschäftsmodelle für digitale Dienstleistungen
·Herausforderungen, Probleme und Scheitern bei digitaler
Dienstleistungsinnovation
Wir freuen uns auf Ihre Einreichungen!
Beste Grüße
Susanne Robra-Bissantz
Tilo Böhmann
Jens Pöppelbuß
--
*Prof. Dr. Jens Pöppelbuß*
Ruhr-Universität Bochum |Fakultät für Maschinenbau
Lehrstuhl für Industrial Sales and Service Engineering
Gebäude IC 1-129| Universitätsstr. 150|D-44780 Bochum
Fon: +49 234 32-26401| Fax: +49 234 32-14280
Mail: jens.poeppelbuss(a)rub.de <mailto:jens.poeppelbuss@isse.rub.de>
Web: www.isse.rub.de <http://www.isse.rub.de/>
--
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] Special issue call for papers from International
Journal of Operations & Production Management: Emerging Technologies in
Emergency Situations
Date: Tue, 14 Jul 2020 18:15:15 +0000
From: FOSSO-WAMBA Samuel <s.fosso-wamba(a)tbs-education.fr>
To: 'aisworld(a)lists.aisnet.org' <aisworld(a)lists.aisnet.org>
Special issue call for papers from International Journal of Operations &
Production Management
Emerging Technologies in Emergency Situations
Guest Editors
Prof Samuel Fosso Wamba, Toulouse Business School, France
Prof Maciel M. Queiroz, Universidade Paulista, Brazil
Dr. Samuel Roscoe, University of Sussex Business School, UK
Prof Wendy Phillips, University of the West of England, UK
Dr. Dharm Kapletia, University of the West of England, UK
Prof Arash Azadegan, Rutgers Business School, USA
Background
The world is witnessing an unprecedented upheaval in the global
operations and supply chains of organizations. Due to COVID-19,
companies have been plunged into an emergency situation where they are
fighting for their very survival. To find a way out of today’s crisis,
managers need guidance on how to redeploy operational resources and
build resilience. Industry 4.0 technologies will play an important role
in rebuilding and reconfiguring global operations and supply chains
(Koh, Orzes and Jia, 2019; Queiroz et al., 2019). Recent scholarly work
on emerging technologies such as Blockchain (Wamba and Queiroz, 2020),
Artificial Intelligence (AI) (Dwivedi et al., 2019), Big Data Analytics
(Kache and Seuring, 2017; Matthias et al., 2017), internet of things
(Islam et al., 2018), social media (Ramanathan, Subramanian and Parrott,
2017) and 3D printing (Kapletia et al., 2019; Roscoe et al. 2019), has
deepened our understanding of Industry 4.0 in a supply chain context.
However, one area that has received limited attention in the literature
is the impact of emerging technologies in emergency situations.
Emergency situations occur due to disease outbreaks (e.g., COVID-19,
SARS, MERS), climate change, natural disasters, scarcity of resources
(e.g. food, water) and man-made crises such as conflict, terrorism and
mass migration. Situations such as these require a rapid response from
governments, non-governmental organisations and businesses to mitigate
threats to life and property. Recent advancements in digital
technologies can enhance planning, mobilization and management during
emergency situations. For example, AI and business analytics can quickly
identify populations in distress. Social media can coordinate the relief
efforts of local volunteers during disasters. Distributed manufacturing
technologies such as 3D printing offer organisations the potential for
point-of-care manufacture of life-saving medicines, implants, equipment
and devices within the vicinity of an outbreak or disaster (Phillips et
al.,2019).
Scholars have considered the importance of organisational and dynamic
capabilities in developing industry 4.0 technologies (Li et al., 2018;
Roscoe et al. 2019). Yet, the significance of fostering capabilities for
the deployment of emerging technologies in emergency situations is
under-researched (Sarkis, 2012; De Giovanni, 2019; Koh, Orzes and Jia,
2019).While scholars have identified the coordination mechanisms needed
to provide a synchronised response to disasters (Holguín-Veras et al.,
2012; Oloruntoba and Gray, 2006; Van Wassenhove, 2006), the procesess
needed to deploy emerging technologies during crises receives limited
attention (Dwivedi et al., 2019). To address this gap, the special issue
will consider the capabilities and coordination mechanisms required to
deploy and utilize emerging technologies in emergency situations. The
special issue aims to stimulate debate and discussion with scholars and
practitioners on the latest advances in emerging technologies and their
application in the context of natural and man-made disasters, conflict
situations and disease outbreaks including Covid 19.
Potential topics
This special issue invites scholars and practitioners to provide
insights and contributions to the Operations and Supply Chain Management
(O&SCM) field by considering the integration of emerging technologies
for emergency situations. We expect that this special issue will bring
substantial contributions to the field by answering the following
research question: What are the challenges facing operations and supply
chain managers when adopting, implementing, and diffusing emerging
technologies in emergency situations?
Contributions will be welcome in the following areas:
1. Artificial Intelligence (AI): What organisational and supply chain
capabilities are required to effectively utilize Artificial Intelligence
in emergency situations? What coordination mechanisms are required to
utilize AI in a post-disaster or conflict scenario? What capabilities
and skills are needed by managers and field operatives utilizing this
technology? How can Artificial Intelligence contribute to O&SCM
performance improvement and value creation n emergency situations?
2. Blockchain: What is the role of blockchain in enhancing visibility
and transparency in humanitarian supply chains? Which are the relevant
blockchain applications in humanitarian operations? How can blockchain
be used by operations managers to combat disease outbreaks during crises?
3. Big Data and Business Analytics: How can business analytics support
humanitarian operations pre-and post-natural and man-made disasters. How
can business analytics minimize human suffering caused by disease
outbreaks? How can business analytics help the O&SCM field minimize the
disturbances produced by supply chain disruptions?
4. Social Media. Is social media a useful technology in responding to
supply chain disruptions? How can social media support O&SCM scholars in
addressing natural and man made disasters? How are practitioners using
social media to support healthcare operations in post-disaster situations?
5. 3D printing/Additive Manufacturing. How can 3D printing address the
scarcity of medical supplies in disaster relief operations? What novel
applications of 3D printing can be used to combat resource scarcity
(water, food, etc.)? Is 3D printing a suitable emerging technology in
refugee operations? What systems and processes are needed to support
point-of-care manufacture of healthcare devices and medicines?
6. Internet of things: How can the internet of things be used to
minimize human suffering during humanitarian operations, disease
outbreaks and mitigation? How can the internet of things be used to
address issues of resources scarcity in emergency situations?
7. Drones - How can drones use the smart cities infrastructure to
respond to post-disaster situations? How can drones can be used in
humanitarian operations? What are the ethical issues related to the
usage of the drones in disaster relief operations?
8. Medical diagnostics, medicines and advanced therapies – How can
advances in diagnostics address the need for rapid and accurate
evaluation and/or monitoring/tracking of patient health? How can
emerging technologies alleviate pressure on the availability of
pharmaceuticals and vaccines in emergency scenarios? How are
leading-edge advanced therapies being pioneered to address a range of
injuries and health conditions associated with humanitarian support..
Types of papers to be published
In this special issue, we expect influential articles dealing with a
range of emerging technologies for emergency situations using empirical
quantitative and qualitative methodologies including (but not limited
to) case studies, surveys, design science, action research,
mixed-methods, etc. The papers must provide new insights and theoretical
contributions to the O&SCM field and the sub-discipline of humanitarian
and disaster relief operations. Moreover, we expect papers to utilize
novel frameworks and theories to shed new light on the interplay between
capabilities, coordination mechanisms, emergent technologies and
emergency situations
Submission and review process
Papers must adhere to the normal author guidelines of the International
Journal of Operations and Production Management, which can be found at
http://emeraldgrouppublishing.com/products/journals/author_guidelines.htm?i….
Submission must be made via Manuscript Central
(https://mc.manuscriptcentral.com/ijopm) with clear selection indicating
that the submission is for this Special Issue. Papers submitted to the
Special Issue will be subjected to the normal thorough double-blind
review process.
Deadline for paper submission: 30/11/2020
First review outcome by: 31/01/2021
Revised manuscript to be submitted by: 31/03/2021
Second review outcome by: 31/04/2021
Expected publication date of this Special Issue: 30/07/2021
Special Issue Editorial Team
Prof Samuel Fosso Wamba
(s.fosso-wamba(a)tbs-education.fr<mailto:s.fosso-wamba@tbs-education.fr>)
lead guest editor), Ph.D., HDR, is a Professor at Toulouse Business
School. His current research focuses on business value of IT,
inter-organizational systems adoption and use, SCM, electronic commerce,
blockchain, artificial intelligence in business, social media, business
analytics, and big data. He has published papers in a number of journals
including: Academy of Management Journal, European Journal of
Information Systems, International Journal of Production Economics,
International Journal of Production Research, Technological Forecasting
and Social Change, Journal of Business Research, Production Planning &
Control, Information Systems Frontiers, Electronic Markets, Proceedings
of the IEEE. He is an Associate Editor of International Journal of
Logistics Management information and The Electronic Markets. He is the
Coordinator of the Artificial Intelligence & Business Analytics Cluster
of Toulouse Business School, France.
Prof. Maciel M. Queiroz
(maciel.queiroz(a)docente.unip.br<mailto:maciel.queiroz@docente.unip.br>),
Ph.D., is a Professor and Researcher of Operations and Supply Chain
Management at Universidade Paulista – UNIP. His current research focuses
on Digital supply chain capabilities, Industry 4.0, AI, blockchain, big
data, and IoT. He has published papers in top-tier international
journals and conferences, including IJIM, IJLM, SCMIJ, BIJ, EQM, among
others. Also, his research appeared in the Proceedings of the IFAC-MIM,
IMAM, TMS, ISL. He serves as a reviewer for top-tier international
journals and AOM. Dr. Maciel has been serving as a Guest Co-Editor for
the International Journal of Information Management, on the topic
“Blockchain in the Operations and Supply Chain Management”, Production
Planning and Control on the topic “Industry experiences of Artificial
Intelligence (AI): benefits and challenges in operations and supply
chain management”. Also, he served as a co-chair in Artificial
Intelligence topics for various conferences, including itAIS & MCIS 2019
and IFIP WG8.6 2020.
Dr. Samuel Roscoe (S.Roscoe(a)sussex.ac.uk<mailto:S.Roscoe@sussex.ac.uk>)
is a Senior Lecturer in Operations Management and teaches in the areas
of Operations and Supply Chain Management. Sam has published in the
Journal of Operations Management on digital manufacturing in the
aerospace sector. He has also published on dynamic supply chain
capabilities in the International Journal of Operations and Production
Management (IJOPM) and local volunteerism in disaster relief situations
with the International Journal of Production Research (IJPR). Sam
received funding from the EPSRC to investigate how 3D printing in
reconfiguring pharmaceutical supply chains; moving production closer to
patients and consumers. Sam's research interests are on how emerging
technologies (3D printing, Blockchain, Artificial Intelligence) are
reconfiguring global supply chains. He is the research leader for the
Supply Chain 4.0 Hub at the University of Sussex Business School.
Prof Wendy Phillips
(Wendy.Phillips(a)uwe.ac.uk<mailto:Wendy.Phillips@uwe.ac.uk>), Ph.D., is
Professor of Innovation at the University of the West of England. She
has a multi-disciplinary background in science and management and have
spent over 15 years advancing the disciplines of innovation studies and
supply chain management. Her research impacts policy and practice.
Wendy’s experience includes leading and contributing to large scale
collaborative research projects such as EPSRC funded RiHN
(www.RiHN.org.uk<http://www.RiHN.org.uk>); HEFCE study of Strategic
Sourcing in UK Higher Education Institutions; EPSRC and ESRC funded
research on innovation in supply networks. She has published papers in a
number of journals and conferences including: Journal of Business
Ethics, International Journal of Production Research, Production
Planning and Control and the International Journal of Operations and
Production Management.
Dr Dharm Kapletia
(Dharm.Kapletia(a)uwe.ac.uk<mailto:Dharm.Kapletia@uwe.ac.uk>) is Senior
Research Fellow at the University of the West of England, specialising
in Technology and Innovation Management. He is also a Fellow of the
Schumacher Institute for Sustainable Systems in Bristol. Dharm has
worked in various research, analytical and consulting roles, for
organisations such as Jisc, ADS Group, Hewlett–Packard Laboratories and
the UK Ministry of Defence. He has contributed to UK and European
innovation and transformation programmes and agendas in healthcare,
defence and cyber security. He holds an industry-sponsored PhD from the
Engineering Department at the University of Cambridge and his main
research interests include managing innovation in complex systems, as
well as science and engineering policy and industrial transformation.
Prof Arash Azadegan
(aazadegan(a)business.rutgers.edu<mailto:aazadegan@business.rutgers.edu>),
Ph.D., is a Professor at Rutgers Business School. Dr. Azadegan focuses
on research related to supply chain disruptions, response and recovery
from disruptions and inter-organizational creativity and innovation. Dr.
Azadegan manages the Supply Chain Disruption Research Laboratory (SCDrl)
at the Center for Supply Chain Management. Dr. Azadegan's work is
published in the Journal of Operations Management, Production and
Operations Management Journal, Journal of Supply Chain Management, R&D
Management Journal, Journal of Purchasing and Supply Management and
International Journal of Operations and Production Management. He is
currently working on several projects related to disruption recovery and
response management practices of supply chains.
For further information or queries regarding the special issue, please
do not hesitate to contact the lead editor via e-mail and cc the other
editors.
References
Baryannis, G. et al. (2019) ‘Supply chain risk management and artificial
intelligence: state of the art and future research directions’,
International Journal of Production Research, 57(7), pp. 2179–2202. doi:
10.1080/00207543.2018.1530476.
Dubey, R. et al. (2019) ‘Big data analytics and organizational culture
as complements to swift trust and collaborative performance in the
humanitarian supply chain’, International Journal of Production
Economics. Elsevier B.V., 210(January), pp. 120–136. doi:
10.1016/j.ijpe.2019.01.023.
Dwivedi, Y. K. et al. (2019) ‘Artificial Intelligence (AI):
Multidisciplinary perspectives on emerging challenges, opportunities,
and agenda for research, practice and policy’, International Journal of
Information Management. Elsevier, (July), p. 101994. doi:
10.1016/j.ijinfomgt.2019.08.002.
De Giovanni, P. (2019) ‘When feature-based production capabilities
challenge operations: Drivers, moderators, and performance’,
International Journal of Operations and Production Management. doi:
10.1108/IJOPM-04-2019-0309.
Islam, N. et al. (2018) ‘Here there be dragons, a pre-roadmap construct
for IoT service infrastructure’, Technological Forecasting and Social
Change, 5(3), p. 119073. doi: 10.1016/j.techfore.2017.09.016.
Ivanov, D. (2019) ‘“A blessing in disguise” or “as if it wasn’t hard
enough already”: reciprocal and aggravate vulnerabilities in the supply
chain’, International Journal of Production Research, pp. 1–11. doi:
10.1080/00207543.2019.1634850.
Kache, F. and Seuring, S. (2017) ‘Challenges and opportunities of
digital information at the intersection of Big Data Analytics and supply
chain management’, International Journal of Operations & Production
Management, 37(1), pp. 10–36. doi: 10.1108/IJOPM-02-2015-0078.
Kapletia, D. et al. (2019) ‘Redistributed manufacturing – challenges for
operations management’, Production Planning & Control, 30(7), pp.
493–495. doi: 10.1080/09537287.2018.1540057.
Koh, L., Orzes, G. and Jia, F. (Jeff) (2019) ‘The fourth industrial
revolution (Industry 4.0): technologies disruption on operations and
supply chain management’, International Journal of Operations &
Production Management, 39(6/7/8), pp. 817–828. doi:
10.1108/IJOPM-08-2019-788.
Lam, H. K. S. et al. (2019) ‘The impact of 3D printing implementation on
stock returns: A contingent dynamic capabilities perspective’,
International Journal of Operations and Production Management, 39, pp.
935–961. doi: 10.1108/IJOPM-01-2019-0075.
Li Da Xu, Eric L. Xu & Ling Li (2018) Industry 4.0: state of the art and
future trends, International Journal of Production Research, 56:8,
2941-2962, DOI:
10.1080/00207543.2018.1444806<https://doi.org/10.1080/00207543.2018.1444806>
Lima-Junior, F. R. and Carpinetti, L. C. R. (2019) ‘Predicting supply
chain performance based on SCOR ® metrics and multilayer perceptron
neural networks’, International Journal of Production Economics.
Elsevier B.V., 212(January), pp. 19–38. doi: 10.1016/j.ijpe.2019.02.001.
Matthias, O. et al. (2017) ‘Making sense of Big Data – can it transform
operations management?’, International Journal of Operations &
Production Management, 37(1), pp. 37–55. doi: 10.1108/IJOPM-02-2015-0084.
Nosek, J. T. and McNeese, M. D. (1997) ‘Augmenting group sense making in
ill‐defined, emerging situations’, Information Technology & People,
10(3), pp. 241–252. doi: 10.1108/09593849710178216.
Phillips, W., Medcalf, N., Dalgarno, K., Makatoris, H., Sharples, S.,
Srai, J., Kapletia, D. (2018) White Paper: Redistributed manufacturing
in healthcare: Creating new value through disruptive innovation. UWE:
Bristol, UK
Queiroz, M. M. et al. (2019) ‘Industry 4.0 and digital supply chain
capabilities’, Benchmarking: An International Journal,
ahead-of-p(ahead-of-print). doi: 10.1108/BIJ-12-2018-0435.
Ramanathan, U., Subramanian, N. and Parrott, G. (2017) ‘Role of social
media in retail network operations and marketing to enhance customer
satisfaction’, International Journal of Operations and Production
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Roscoe S., Cousins, P., Handfield, R. (2019). “The Microfoundations of
an Operational Capability in Digital Manufacturing “. Journal of
Operations Management. 65 (8) pp. 774-793
Ryman-tubb, N. F., Krause, P. and Garn, W. (2018) ‘Engineering
Applications of Artificial Intelligence How Artificial Intelligence and
machine learning research impacts payment card fraud detection : A
survey and industry benchmark’, 76(July), pp. 130–157.
Sarkis, J. (2012) ‘Models for compassionate operations’, International
Journal of Production Economics, 139, pp. 359–365. doi:
10.1016/j.ijpe.2012.06.018.
Syam, N. and 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(January), pp. 135–146. doi: 10.1016/j.indmarman.2017.12.019.
Teece, D. J., Pisano, G. and Shuen, A. M. Y. (1997) ‘Dynamic
Capabilities and Strategic Management’, Strategic Management Journal,
18(7), pp. 509–533.
Wamba, S. F. and Queiroz, M. M. (2020) ‘Blockchain in the operations and
supply chain management: Benefits, challenges and future research
opportunities’, International Journal of Information Management, p.
102064. doi: 10.1016/j.ijinfomgt.2019.102064.
Zhu, Q., Krikke, H. and Caniëls, M. C. J. (2018) ‘Supply chain
integration: value creation through managing inter-organizational
learning’, International Journal of Operations and Production
Management, 38(1), pp. 211–229. doi: 10.1108/IJOPM-06-2015-0372.
……………………………..
Samuel FOSSO WAMBA, Ph.D., HDR
Full Professor, Information Systems and Head of Artificial and Business
Analytics Cluster | Information, Operations and Management Sciences| TBS
s.fosso-wamba(a)tbs-education.fr<mailto:s.fosso-wamba@tbs-education.fr> |
+33 5 61 29 50 54 |
www.tbs-education.com<http://www.tbs-education.fr/en?utm_source=signature-en&utm_medium=email-en&…>
|http://www.fossowambasamuel.com/
[TBS]<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] CfP: HOPE20 - 3nd International Workshop on Health
Informatics: IT Innovations and Disruptive Approaches in the Digital
Health Era (HOPE’20)
Date: Tue, 14 Jul 2020 13:26:00 +0000
From: Lux, Thomas <Thomas.Lux(a)hs-niederrhein.de>
Reply-To: Lux, Thomas <Thomas.Lux(a)hs-niederrhein.de>
To: WI(a)lists.kit.edu <WI(a)lists.kit.edu>
Call for paper HOPE2020
*3nd International Workshop on Health Informatics: IT Innovations and
Disruptive Approaches in the Digital Health Era (HOPE’20)
**(http://www.aiccsa.net/AICCSA2020/2-uncategorised/65-hope20)*
**
*Important Information: *
• Submission deadline: July15th July 30^th , 2020
• Notification of acceptance: August, 15^th , 2020
• Camera-ready papers due: August 25^th , 2020
Submission system: https://easychair.org/conferences/?conf=aiccsa2020
The workshop is part of the *17th ACS/IEEE International Conference on
Computer Systems and Applications AICCSA 2020*
*November 2^nd to November 5^th , 2020**. *
*AICSSA is going virtual!***http://www.aiccsa.net/AICCSA2020/home-5
*3nd International Workshop on Health Informatics: IT Innovations and
Disruptive Approaches in the Digital Health Era (HOPE’20)*
*Scope*
*The quality and expenditure control of the health sector have become,
in both developed and developing countries alike, the main objectives
pursued by public authorities. The digital transformation of the sector
has shown promise to provide answers to these objectives and to overcome
health systems challenges, particularly those linked to the aging of the
population, the increasing rates of chronic diseases and the
personalization of medicine. Indeed, the rapid spread of mobile devices
and of the Internet of Things, the presence of the digital network
anywhere and anytime, allow to improve quality of, often in the short
term, services which provide personalized patient care, reduce the
number and duration of hospital stays, enable continuous patient
monitoring and conceive efficient and safe home care.*
*The recent development and employment of artificial intelligence and
analysis techniques to exploit big data in healthcare to develop new
improved disease surveillance methods, improve diagnosis and early
disease detection, discover novel treatments, uncover new drug side
effects or interactions, and design and study deployment of
decision-making methods and IT solutions in order to improve the
performance and the security of the patient pathway management in and
out the hospital. The recent challenges presented by COVID-19 are
examples for the need to bringing the optimization of healthcare
functions and services to the maximum. Digital transformation including
developing novel IT innovations and disruptive approaches and employing
ehealth services provide one key solution to meeting these challenges.*
*This digital transformation, already underway in many countries, is
defined, for a health organization, as a process that consists of fully
integrated digital technologies into all of its activities in order to
improve its performance. It characterizes not only a technical
development, but also a new way of working, an attitude, and a
commitment for networked, global thinking, to improve health care by
using ICT. Hence, it deeply transforms, at a rattling pace, the rules
and ways of managing the health system and thus seeks to develop new
innovative informatics solutions to enable, support as well as utilize
this transformation.*
*As the digital transformation of the health sector brings significant
progress to the care system; it consequently requires major changes in
the behavior of the actors of the health system. Like any major change
in norms and practices, this transition faces reluctance, barriers and
fears it can generate. As such, it imposes on hospital organizations a
real problem in driving the change of their staff. Many employees may
feel disoriented and overwhelmed by new the ways and practices. They may
consider digital transformation as a risk and not an opportunity. In
order for them to become engaged actors of this process, instead of
being subjected to it, it is essential that health institutions
integrate its collaborators and give them the means to master and be the
drivers of this change.*
*To that purpose, both development of IT innovations and disruptive
approaches, and introduction and deployment of IT solutions in
healthcare environments, associated with education and training on
digital health are fundamental prerequisites not just to the wide-scale
adoption but also the effective use of e-health solutions and major keys
to the success of digital transformation in the health sector. These
digital health education and training which the underlying body of
knowledge is health informatics, should be addressed to all kind of
stakeholders involved in the health ecosystem and should be based on
innovative educational methods and adapted to the profiles of these
stakeholders. The workshop will provide a research-rich environment to
address these challenges and support the development of new novel and
disruptive approaches paving the way towards improved public health and
personalized medicine. Recent spread of COVID-19 in many countries,
causing disastrous human-impacting events, and as one of the most
challenging communicable and infectious diseases, research related to
developing innovative solutions to improve early surveillance,
detection, diagnosis or treatments are particularly encouraged.*
*It’s within the above scope that this workshop has been conceived to
bring together researchers and practitioners to share research results,
advancements and practical related experiences in this field.*
Topics of interest include, but are not limited to :
• eHealth patient-centered solutions
• Disruptive approaches to development of healthcare informatics solutions
• Use of artificial Intelligence and analysis techniques to exploit big
data in healthcare
• IT Innovations for novel solutions in healthcare improved diagnosis
and treatments.
• Development and study of design and deployment of decision-making
methods in healthcare
• Techniques, methods and systems for Pathways or careflows development
or management.
• Health educational engineering
• Innovative multidisciplinary learning design in eHealth
• Digital transformation methods and training challenges.
• Cases studies and practical evaluations of teaching experiences
• Application of Health Informatics in Clinical Cases
• Analysis of ehealth trends, issues and development constraints
• Emergent concepts, models and technologies to promote the
effectiveness and efficiency of Healthcare services
• Open Source technologies to leverage the sustainability and quality of
healthcare
• Semantic Intelligence and Big data for healthcare uses vis-à-vis
health 4.0
• Geocoding health data
• Practice-based Research Methods for Healthcare IT
• Design and Development of Methodologies for Healthcare IT
• Software Engineering in health care
• Data Management and Analytics for healthcare/eHealth
• Privacy and Ethical issues in health care/eHealth
• Model-Based Design of Trustworthy Health Information Systems
• Privacy preserving or enhancing techniques for secondary uses and
sharing of clinical data
• Research methods and techniques for electronic clinical records and data
• Studies of privacy and security in healthcare/eHealth.
*Workshop Co-Chairs*
• Prof. Adel Taweel, Birzeit University, Palestine/ Kings College London, UK
• Prof. Thomas Lux, Hochschule Niederrhein, Germany
• Dr. Elyes Lamine, CGI, IMT Mines Albi - ISIS, INU Champollion,
Castres, France
• Prof. Yousef Khader, Jordan University of Science and Technology, Jordan
Authors are invited to submit original, unpublished research and
application papers that are not being considered in other forums.
Manuscripts will be limited to a maximum of 6 two-column pages (IEEE
Proceeding style) including figures and references. Please follow the
IEEE Conference Publishing Service (CPS) guidelines to prepare your
papers. Please submit your papers using this link xxxxx ( to be
specified later )
Manuscripts should be prepared in 10-point font using the IEEE 8.5" x
11" two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper must not exceed
the stated length (including all figures, tables and references).
Submitted papers must present original unpublished research that is not
currently under review for any other conference or journal. Papers not
following these guidelines may be rejected without review. Also
submissions received after the due date, exceeding length limit, or not
appropriately structured may also not be considered. Authors may contact
the workshop Chair for further information or clarification.
All submissions are blind peer-reviewed by at least three reviewers.
Accepted papers will appear in the Conference Proceedings and be
published by the IEEE Computer Society Conference Publishing Services
and be submitted to IEEE Xplore for inclusion.
Submitted papers must include original work, and must not be under
consideration for another conference or journal. Submission of regular
papers must not exceed 6 pages and must follow the IEEE paper format.
Please include up to 7 keywords, complete postal and e-mail address, and
fax and phone numbers of the corresponding author. Authors of accepted
papers are expected to present their work at the conference. Submitted
papers that are deemed of good quality but that could not be accepted as
regular papers will be accepted as short papers.
Authors of accepted papers are requested to sign the IEEE copyright
form. The guidelines for authors can be found at IEEE Conference
Publishing Services - Proceedings Author Forms.
Electronic submission of manuscripts (in PDF, postscript, or word
format) is required through the dedicated system. For any questions
please contact adel.taweel(a)kcl.ac.uk <mailto:adel.taweel@kcl.ac.uk> or
yskhader(a)just.edu.jo <mailto:yskhader@just.edu.jo> . At least one author
of each accepted paper is required to attend the workshop and present
the paper.
*Publication*
Papers accepted for presentation will be published by IEEE Computer
Society Press as proceedings of the AICCSA Conference Publishing
Services and be submitted to IEEE Xplore for inclusion. In addition,
proposals for a special issue at relevant eHealth Journal are being
sought to publish selected accepted papers.
*WORKSHOP PROGRAM COMMITTEE:*
*Workshop Program Committee:*
• Bernhard Breil, Niederrhein University of Applied Sciences
• Alok Mishra, Atilim University, Turkey
• Adel Taweel, Birzeit University, Palestine/ Kings College London, UK
• Hannes Schlieter, Technical University Dresden, Germany
• Amine Boufaied, University of Sousse, Sousse, Tunisie
• Antonio De Nicola, ENEA, Rome, Italy
• Abdel-Rahman H. Tawil, Birmingham City University, Birmingham, UK;
• Bernard Archimède, ENI de Tarbes, INPT, University of Toulouse,
Tarbes, France
• Dominik Bork, Research Group Knowledge Engineering,University of
Vienna,Vienna, Austria
• Elyes Lamine, CGI, IMT Mines Albi - ISIS, INU Champollion, Castres,
France
• Franck Fontanili, CGI, IMT Mines Albi, Albi, France
• Gerard Dray, LGI2P, IMT Mines Alès, University of Montpellier,
Montpellier, France
• Giulia Bruno, Politecnico di Torino, Turin, Italy
• Hervé Pingaud, LGC CNRS, ISIS, INU Champollion, Castres, France
• Imen Megdich, IRIT- ISIS, INU Champollion, Castres, France
• Issam Nouaouri, LGI2A, University of Artois, France
• Katarzyna Borgiel, ISIS, INU Champollion, Castres, France
• Lahmar Arij, Dubai Business School, UAE
• Latifa Dekhici, Université des Sciences et de la Technologie d'Oran
Mohamed Boudiaf, Oran, Algérie
• Lisanne Kremer, Niederrhein University of Applied Sciences, Germany
• Maria Di Mascolo,G-SCOP,CNRS, University of Grenoble Alpes, Grenoble,
France
• Mario Macedo, Atlantica University, Portugal
• Mohamed Jmaiel, Department of Computer Science and Applied
Mathematics, ENIS, Tunisie
• Mohammad Karabsheh, Hashemite University, Jordan
• Mohanad Jabari, Hebron University Palestine
• Naoufel Cheikhrouhou, University of Applied Sciences Western
Switzerland (HES-SO), Switzerland
• Nergiz Cagiltay, Atilim University, Turkey
• Osama El Hassan, Emirates Health Informatics Society, UAE
• Radi Jarrar, Birzeit University, Palestine
• Rémi Bastide, IRIT- ISIS, INU Champollion, Castres, France
• Rym Ben Bachouch, PRISME, université d'Orléans, Bourges, France
• Selma Arbaoui, PRISME, université d'Orléans, Bourges, France
• Thomas Lux, Niederrhein University of Applied Sciences, Germany
• Wided Guedira, Luxembourg Institute of Science and Technology,
Esch/Alzette, Luxembourg
• Yousef Kader, Jordan University of Science and Technology, Jordan
**
*=======================================================================*
*Prof. Dr. Thomas Lux*
Director of the Competence Center eHealth (CCeHealth)
Professur for Process Management in Health Care
Faculty of Health Care
Niederrhein University of Applied Sciences
Reinarzstraße 49
47805 Krefeld
fon: +49 (0) 2151 822-6624
email: thomas.lux(a)hs-niederrhein.de <mailto:thomas.lux@hs-niederrhein.de>
internet:
https://web.hs-niederrhein.de/gesundheitswesen/wir-als-fachbereich/prof-dr-…
*=======================================================================*
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-------- Forwarded Message --------
Subject: [AISWorld] CfP WI 2021 Track "Enterprise Modelling and
Information Systems Development"
Date: Tue, 14 Jul 2020 15:54:07 +0000
From: Rosenthal, Kristina <kristina.rosenthal(a)fernuni-hagen.de>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
(Apologies for cross-posting)
Call for Papers – WI2021 Track "Enterprise Modelling and Information
Systems Development"
https://wi2021.de/en/enterprise-modelling-and-information-systems-developme…
16th International Conference on Wirtschaftsinformatik (WI2021), March
9-11, 2021, University of Duisburg-Essen, Germany
https://wi2021.de/en/
Deadline for Submissions: August 14, 2020
Track Chairs:
Prof. Dr. Peter Fettke, German Research Center for Artificial
Intelligence (DFKI) and Saarland University
Dr. Kristina Rosenthal, University of Hagen (FernUniversität in Hagen)
Track Description:
The design and implementation of suitable information systems is a
prerequisite for realizing innovative business models and represents an
essential basis for the digital transformation. Enterprise modelling
marks an important foundation: Enterprise models are the central basis
of methods of information system development and aim at the joint design
of information systems and corresponding organizational action systems.
The track provides a forum for current research results on conceptual
modelling, enterprise modelling and information systems development. The
track addresses current challenges in the corresponding fields of
research, including in particular the use of conceptual models in the
context of “innovative forms of organization, new business models,
cooperation and interaction forms, which may reach considerable
complexity and place high demands on the design of information systems“
(Frank U; Strecker S; Fettke P; vom Brocke J; Becker J; Sinz E: The
Research Field “Modeling Business Information Systems”: Current
Challenges and Elements of a Future Research Agenda (Research Note),
Business & Information Systems Engineering 6(1): 39–43 2014).
The track reflects the diversity of research objectives, research
objects and research methods in the corresponding research fields.
Possible Topics:
- Conceptual models for shaping the digital transformation
- Digital Work and Digital Life based on conceptual models
- Big Data and conceptual data modelling
- Modelling and emerging technologies (e.g. Blockchain, Internet of
Things, Augmented Reality)
- Innovative modelling tools
- Business process modelling and enterprise modelling
- Modelling languages, domain-specific modelling languages, modelling
methods
- Evaluation and quality of conceptual models and modelling languages
- Model analysis, executable models, model transformation, model-driven
software development
- Automated modelling using data mining and process mining
- Robotic Process Automation (RPA)
- Reference models and reference model development
- Domain-specific applications of conceptual modelling (e.g. in health care)
- Model-driven corporate compliance
- Philosophical foundations of modelling research
Important Deadlines:
Deadline for Submissions: 14/08/2020
Deadline for Reviews: 05/10/2020
Notification of Acceptance: 16/10/2020
Final Paper Submission: 16/11/2020
Kind regards
Peter Fettke and Kristina Rosenthal
---
Dr. Kristina Rosenthal
Enterprise Modelling Research Group
Chair of Information Systems Development (Prof. Dr. S. Strecker)
University of Hagen
kristina.rosenthal(a)fernuni-hagen.de<mailto:kristina.rosenthal@fernuni-hagen.de>
https://www.fernuni-hagen.de/evis/en/
_______________________________________________
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AISWorld(a)lists.aisnet.org
-------- Forwarded Message --------
Subject: [AISWorld] last call: Reminder: iCFP HICSS-54 Minitrack on
Emerging Issues in Distributed Group Decision-Making
Date: Tue, 14 Jul 2020 16:04:49 +0000
From: Anil Aggarwal <aaggarwal(a)ubalt.edu>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Dear Colleagues:
After successful sessions last five years, we are continuing our mini
track on Emerging Issues in Distributed Group Decision-Making:
Opportunities and Challenges at the HICSS Conference. We invite you to
submit your paper to our minitrack . A call for papers is attached.
http://home.ubalt.edu/ntsbagga/hicss_54.htm
Regards,
Anil Aggarwal
University of Baltimore
USA
Doug Vogel
Harbin Institute of technology
PRC
Yuko SJ Murayama
Tsuda College
Japan
=====================
CALL FOR PAPERS FOR the Mini-track
Emerging Issues in e-collaboration Distributed Group Decision-Making:
Opportunities and Challenges<http://home.ubalt.edu/ntsbagga/hicss_54.htm>
(Part of the Collaboration Systems and Technology track )
HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES
(HICSS-54)
Grand Hyatt Kauai
Given the current turbulent state of world economy, outsourcing is
coming under tremendous pressure. Companies are no longer providing
long-term contracts but are renewing them based on deliverables from
outsourced companies. This is putting tremendous pressure on teams to
deliver quality product on time. Team adaptability and team
configuration are becoming crucial to meet deadlines. Teams must be able
to adapt quickly to the changing environment. Agile teams adapt and
deliver quickly and provide maximum customer satisfaction. By
definition, however, agile teams must be co-located. Can distributed
teams be agile and adaptable? This requires careful team configuration.
Distributed teams face many challenges of time, location,
infrastructure, language, customs, socialization and politics. This is
further compounded in globally distributed teams by diversity,
nationality and cultural issues. As old issue are resolved, new
challenges emerge that require knowledge from multiple disciplines such
as information systems, social sciences, international management,
leadership and political science. It is almost impossible for one
individual to have expertise in so many domains, which makes this a very
challenging but ultimately rewarding collaborative area of research.
Given the richness and research potential of this area, it is essential
to brainstorm and bring diverse points of view to develop underlying
theory and frameworks. The mini track will attempt to accomplish these
objectives.
The mini track will address emerging issue such as diversity, culture,
adaptability and agility related to teams in distributed group decision
making, as well as the underlying theories of group dynamics,
coordination, communications and decision-making in distributed
environments, in creation of competitive advantage.
Examples of topics in the discussion of globally distributed decision
making mini-track will include the following (but are not limited to):
* eCollaboration in distributed teams
* Fake news impact on ecollaboration
* Swift team collaboration
* Sub groups impact on eCollaboration
* Big data collaboration
* E-government(s) inter- , intra-collaboration
* Collaboration through crowdsourcing
* Disaster management in distributed teams
* Delivering health services through collaboration
* Economics of distributed decision making in the clouds
* Trust and distrust as motivator in distributed decision making
* Can agile teams be globally distributed?
* Agile/Adaptable team configuration in globally distributed teams
* The "e (internet)" to "m (mobile)" transformation of globally
distributed teams
* Communication and coordination in globally distributed teams
* Diversity issues in globally distributed teams
* Customer satisfaction, performance and "trust" building in globally
distributed teams
* Synchronous and asynchronous decision making in globally distributed teams
* Comparison of issues across internal, inter-, intra and offshore
distributed teams
* Turbulent economy and its impact on outsourcing
* Models of globally distributed agile/adaptable teams
* Knowledge creation, transfer and integration across globally
distributed teams
* Leadership/cohesiveness issues in globally distributed teams
* Issues related to functional and dysfunctional globally distributed teams
* Security, privacy and risk associated with globally distributed teams
* Case Studies (success/failures) related to decision making by globally
distributed teams
Contact Information for Mini-Track Chair:
Dr. A. K. Aggarwal**
University of Baltimore, USA
410-8375275
aaggarwal(a)ubalt.edu<mailto:aaggarwal@ubalt.edu>
Dr. Doug Vogel
Harbin Institute of technology
PRC
isdoug(a)hit.edu.cn<mailto:isdoug@hit.edu.cn>
Dr. Yuko SJ Murayama
Tsuda College
Japan
murayama(a)tsuda.ac.jp<mailto:murayama@tsuda.ac.jp>
Important Deadlines:
June 15, 2020: Paper Submission Deadline (11:59 pm HST)
August 17, 2020: Notification of Acceptance/Rejection
September 4, 2020: Deadline for A-M Authors to Submit Revised Manuscript
for Review
September 22, 2020: Deadline for Authors to Submit Final Manuscript for
Publication
October 1, 2020: Deadline for at least one author of to register for
HICSS-54Instructions for
Paper Submission:
* HICSS papers must contain original material not previously published,
or currently submitted elsewhere.
* Do not submit the manuscript to more than one mini-track. If unsure
which mini-track is appropriate, submit the abstract to the Track Chair
for guidance.
* Submit your full paper according to the detailed formatting and
submission instructions found on the HICSS website. Note: All papers
will be submitted in double column publication format and limited to 10
pages including diagrams and references. HICSS will conduct double-blind
reviews of each submitted paper.
HICSS conferences are devoted to advances in the information, computer,
and system sciences, and encompass developments in both theory and
practice. Invited papers may be theoretical, conceptual, tutorial or
descriptive in nature. Submissions undergo a double-blind peer referee
process and those selected for presentation will be published in the
Conference Proceedings. Submissions must not have been previously published.
For the latest information visit the HICSS web site at:
http://www.hicss.hawaii.edu/
CONFERENCE ADMINISTRATION:
Tung Bui, Conference Chair
Email: tungb(a)hawaii.edu
Thayanan Phuaphanthong, Conference Administrator
Email: hicss(a)hawaii.edu<mailto:hicss@hawaii.edu>
_______________________________________________
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AISWorld(a)lists.aisnet.org
-------- Forwarded Message --------
Subject: [AISWorld] CFP - The Bright Side and the Dark Side of Digital
Health, Internet Research (SSCI, ABDC 'A' JCR Q1)
Date: Tue, 14 Jul 2020 01:02:57 +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: [AISWorld] Call for Papers - Sixth International Workshop on
Serverless Computing (WoSC) 2020
Date: Mon, 13 Jul 2020 11:10:26 -0400
From: Vatche Ishakian <vatchei(a)gmail.com>
To: aisworld(a)lists.aisnet.org
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Please accept our apologies if you receive multiple copies of this CFP
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Sixth International Workshop on Serverless Computing (WoSC6) 2020
Part of ACM/IFIP International Middleware Conference, Dec 7-11, 2020.
The workshop will take place in TU Delft, Netherlands.
Over the last four to five years, Serverless Computing (Serverless) has
gained an enthusiastic following in industry as a compelling paradigm for
the deployment of cloud applications, and is enabled by the recent shift of
enterprise application architectures to containers and microservices. Many
of the major cloud vendors have released serverless platforms, including
Amazon Lambda, Google Cloud Functions, Microsoft Azure Functions, IBM Cloud
Functions. Open source projects are gaining popularity in providing
serverless computing as a service. In particular Kubernetes gained in
popularity in enterprise and in academia. Several open source projects such
as OpenFaaS and Knative aim to provide developers with serverless
experience on top of Kubernetes by hiding low-level details of Kubernetes
and add new capabilities such as supporting event-driven serverless
cloud-native applications. This workshop brings together researchers and
practitioners to discuss their experiences and thoughts on future
directions of serverless research.
Serverless architectures offer different tradeoffs in terms of control,
cost, and flexibility compared to distributed applications built on an
Infrastructure as a Service (IaaS) substrate. For example, a serverless
architecture requires developers to more carefully consider the resources
used by their code (time to execute, memory used, etc.) when modularizing
their applications. This is in contrast to concerns around latency,
scalability, and elasticity, which is where significant development effort
has traditionally been spent when building cloud services. In addition,
tools and techniques to monitor and debug applications aren't applicable in
serverless architectures, and new approaches are needed. As well, test and
development pipelines may need to be adapted. Another decision that
developers face is the appropriateness of the serverless ecosystem to their
application requirements. A rich ecosystem of services built into the
platform is typically easier to compose and would offer better performance.
However, composing external services may be unavoidable, and in such cases,
many of the benefits of serverless disappear, including performance and
availability guarantees. This presents an important research challenge, and
it is not clear how existing results and best practices, such as workflow
composition research, can be applied to composition in a serverless
environment.
Authors are invited to submit research papers, experience papers,
demonstrations, or position papers.
The latest version of this CFP is available at
http://serverlesscomputing.org/wosc6/
Topics
This workshop solicits papers from both academia and industry on the state
of practice and state of the art in serverless computing. Topics of
interest include but are not limited to:
Infrastructure and network optimizations for serverless applications
Debugging serverless applications
Programming models
Use cases, experiences
Benchmarks
Cost models, pricing models, and economics of serverless
DevOps
Other topics related to serverless computing
Important Dates
Paper Submission: September 14, 2020
Notification of Acceptance: September 21, 2019
Final Camera-Ready Manuscript (Hard Deadline): October 10, 2019
Author registration deadline: TBD
Conference: December 7-11, 2020
Papers and Submissions
Authors are invited to submit original, unpublished research/application
papers that are not being considered in another forum.
Submitted manuscripts should be structured as technical papers and may not
exceed six (6) single-spaced double-column pages using ACM SIGPLAN style,
which can be found on the ACM template page. The page limit contains all
the content, including bibliography, appendix, etc.
Submitted papers must adhere to the formatting instructions of the ACM
SIGPLAN style, which can found on the ACM template page. The font size has
to be set to 10pt.
Note that submissions must be double-blind: authors’ names must not appear,
and authors must make a good faith attempt to anonymize their submissions.
The Middleware conference organizers will provide companion proceedings
including all workshop papers, which will be available in the ACM Digital
Library. This is subject to the availability of their camera-ready papers
by October 16, 2020.
Authors should submit the manuscript in PDF format. All manuscripts will be
reviewed and will be judged on correctness, originality, technical
strength, rigour in analysis, quality of results, quality of presentation,
and interest and relevance to the conference attendees. Papers conforming
to the above guidelines can be submitted through the paper submission
system powered by HotCRP (https://wosc6.hotcrp.com/).
All submitted manuscripts (following MIDDLEWARE conference requirements on
formatting and page limits) will be peer-reviewed by at least 3 program
committee members. Accepted papers with confirmed presentation will appear
in the conference proceedings as well as in the ACM Digital Library.
Workshop co-chairs
Paul Castro, IBM Research
Pedro García López, University Rovira i Virgili
Vatche Ishakian, IBM Research
Vinod Muthusamy, IBM Research
Aleksander Slominski, IBM Research
Steering Committee
Geoffrey Fox, Indiana University
Dennis Gannon, Indiana University & Formerly Microsoft Research
Arno Jacobsen, MSRG (Middleware Systems Research Group)
Program Committee (tentative)
Gul Agha, University of Illinois at Urbana-Champaign
Azer Bestavros, Boston University
Flavio Esposito, Saint Louis University
Rodrigo Fonseca, Brown University
Ian Foster, University of Chicago and Argonne National Laboratory
Geoffrey Fox, Indiana University
Dennis Gannon, Indiana University & Formerly Microsoft Research
Pedro Garcia Lopez, Universitat Rovira i Virgili (Spain)
Arno Jacobsen, MSRG (Middleware Systems Research Group)
Wes Lloyd, University of Washington Tacoma
Višnja Križanović, Josip Juraj Strossmayer University of Osijek
Maciej Malawski, AGH University of Science and Technology, Poland
Pietro Michiardi, Eurecom
Lucas Nussbaum, LORIA, France
Maciej Pawlik, Academic Computer Centre CYFRONET of the University of
Science and Technology in Cracow
Per Persson, Ericsson Research
Peter Pietzuch, Imperial College
Rodric Rabbah, Apache OpenWhisk
Eric Rozner, University of Colorado Boulder
Josef Spillner, Zurich University of Applied Sciences
Rich Wolski, University of California, Santa Barbara
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