Cfp August 2020

cfp@alice.wu.ac.at

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Fwd: [AISWorld] CfP - ACIS (2020) - Track: DataAnalytics, Knowledge Management, and Strategic Decision Making
by Gustaf Neumann 09 Aug '20

09 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] CfP - ACIS (2020) - Track: DataAnalytics, Knowledge Management, and Strategic Decision Making Date: Sun, 9 Aug 2020 10:58:10 +1200 From: Nazim Taskin <nazimtaskin(a)gmail.com> To: aisworld(a)lists.aisnet.org Dear colleagues, Call for Papers *ACIS (2020) - Track: Data Analytics, Knowledge Management, and Strategic Decision Making* The goal of the Data Analytics, Knowledge Management and Strategic Decision-making track is to advance our knowledge of the complexity of the disruptive technologies of data analytics and their role in the advancement of KM for better strategic decision-making. Aligned with the conference theme, the emphasis of the track is on how individual and organizational knowledge can be distilled from and incorporated into data analytics for making more effective decisions and guidance to “navigate our digital future”. Therefore, we encourage submissions that offer significant theoretical and practical contributions on how organisations can utilise emerging and analytics technologies to create value and knowledge more effectively. Data by itself is worthless unless business users analyse it and transform it into practical knowledge that delivers value to their organizations. That’s where data analytics and KM come into the picture. The success of business decisions and government policies relies heavily on the quality of the data and knowledge that underlie the decisions and policies. For this reason, gathering, analysing and considering reliable data and more importantly, transforming them into usable knowledge and expertise is increasingly critical in strategic decision-making (Intezari & Gressel, 2017; Nicolas, 2004). Due to the extensive uncertainty, ambiguity, and risk associated with strategic decisions (McKenzie et al., 2011), the role of data analytics tools and technologies in KM has much to offer to help businesses and government agencies to succeed in their strategic decision-making (Li, Goh, & Jin, 2018). Nevertheless, the transformation of data into knowledge and the use of analytical tools in incorporating data and knowledge into strategic decisions is an underdeveloped field. While offering significant promises, data analytics poses new challenges for both practitioners and scholars. Therefore, it is important and timely that the fields of decision-making and KM respond to the profound changes that big data and analytics are bringing to organizations (Pauleen & Wang, 2017). We are particularly interested in the incorporation of KM systems into strategic decisions and policies, as well as the use of analytic tools and techniques in fully supporting and successfully operationalizing people’s knowledge. This track invites submissions that address the challenges and opportunities associated with data analytics and KM, and their implication/incorporation into business processes and decision-making practices at the individual and organisational levels. The papers should address the conference theme. The track accepts empirical papers, as well as conceptual papers that offer deep theoretical insights into the areas of interest. The track is open to papers employing various research methods; and accepts completed research papers, as well as research-in-progress papers. Topics of interest include but are not limited to: - Data analytics across decision-making levels: strategic, tactical, and operational - Data analytics and emerging research philosophies and methodologies - Methodologies, techniques, and analytical tools for individual and group decision-making - The integration of data analytics and KM for strategic decision-making: techniques, challenges and opportunities - Organizational barriers and enablers of the use of data analytics and KM in managerial and strategic decision-making - KM initiatives for managerial and strategic decision-making - Design, development, and use of KM technologies to support data-driven decisions and strategies - Organizational barriers and enablers of the use of data analytics for KM in managerial and strategic decision - Analytical tools and techniques, such as text analytics and sentiment analysis for analysing knowledge and disseminating expertise - Visualisation of structured and unstructured data and knowledge - Big data velocity and real-time analysis of data in decision-making at the individual and organisational levels - KM innovation, standards and challenges in managing data-driven decisions - Data Mining in explicit knowledge - Cultural challenges in organizations merging initiatives in analytics and KM - Individual, intra-, and inter-organizational data analytics and KM technologies Conference website: https://www.acis2020.org/ Deadline (please check conference website for updates): - August 24: Paper submission deadline - September 30: Notification of acceptance - December 1-4, 2020: Virtual Conference Track co-chairs: Dr Ali INTEZARI, University of Queensland, a.intezari(a)uq.edu.au Professor David PAULEEN, Massey University, d.pauleen(a)massey.ac.nz Dr Tiong-thye GOH, Victoria University of Wellington, tiong.goh(a)vuw.ac.nz Dr Hamed JAFARZADEH, Massey University, h.jafarzadeh(a)massey.ac.nz References: - Intezari, A., and Gressel, S. 2017. “Information and Reformation in KM Systems: Big Data and Strategic Decision-making,” *Journal of Knowledge Management* (21:1), pp. 71–91. - Li, L., Goh, T. T., and Jin, D. 2018. “How Textual Quality of Online Reviews Affect Classification Performance: A Case of Deep Learning Sentiment Analysis,” *Neural Computing and Applications* (doi:10.1007/s00521-018-3865-7). - McKenzie, J., van Winkelen, C., and Grewal, S. 2011. “Developing Organisational Decision‐making Capability: A Knowledge Manager’s Guide, *“ Journal of Knowledge Management* (15:3), pp. 403–421. - Nicolas, R. 2004. “Knowledge Management Impacts on Decision Making Process, “ *Journal of Knowledge Management* (8:1), pp. 20–31. - Pauleen, D. J., and Wang, W. Y. C. 2017. “Does Big Data Mean Big Knowledge? KM Perspectives on Big Data and Analytics,” *Journal of Knowledge Management* (21:1), pp. 1–6. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CENTERIS / ProjMAN / HCist 2020 * Hybrid conferences (face-to-face & virtual) * registrations OPEN
by Gustaf Neumann 08 Aug '20

08 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] CENTERIS / ProjMAN / HCist 2020 * Hybrid conferences (face-to-face & virtual) * registrations OPEN Date: Sat, 8 Aug 2020 18:32:33 +0100 From: Maria Manuela Cruz Cunha <mcunha(a)ipca.pt> Reply-To: mcunha(a)ipca.pt To: aisworld(a)lists.aisnet.org ------- CENTERIS 2020 International Conference on ENTERprise Information Systems https://centeris.scika.org/ ------- HCist 2020 International Conference on Health and Social Care Information Systems and Technologies https://hcist.scika.org ------- ProjMAN 2020 International Conference on Project MANagement http://projman.scika.org ------- AIS affiliated conferences (Special fees for AIS members) ------- Crowne Plaza Hotel, Vilamoura, Algarve, Portugal October 21-23, 2020 ------ Hybrid format: face-to-face and virtual synchrouns participation Special registration fee for virtual participations: Eur 350 ------ Looking forward to meeting you in beautiful Vilamoura next October 21-23 for another great conference! ------- -- Kind regards, Maria Manuela Cruz Cunha Polytechnic Institute of Cávado and Ave Portugal StaySafe, StayPositive _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] ICTO2020 (www.icto2020.webs.com) - Participation of five AIS Chapters: MENA-AIS chapter, ItAIS chapter, Lebanese chapter LAIS, Qatar chapter, and Association of Information Systems Eastern Africa
by Gustaf Neumann 08 Aug '20

08 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] ICTO2020 (www.icto2020.webs.com) - Participation of five AIS Chapters: MENA-AIS chapter, ItAIS chapter, Lebanese chapter LAIS, Qatar chapter, and Association of Information Systems Eastern Africa Date: Sat, 8 Aug 2020 18:28:14 +0000 (UTC) From: harfouche tony <harfoant(a)yahoo.com> To: aisworld(a)lists.aisnet.org ICTO2020 International Conference on Smart Technologies for an inclusive world https://icto2020.webs.com/ AIS Chapters: MENA-AIS chapter,ItAIS chapter, Lebanese chapter LAIS, Qatar chapter, Association of InformationSystems Eastern Africa Paris La Defense, France, November 05-06, 2020 Online and Onsite-physical email: icto2020(a)icto.info webpage: http://www.icto2020.webs.com Whatsapp: 0033651442331 ------------------------------------------------------------------------------------------------------- ***** DEADLINE for paper submission: AUG 10, 2020 ***** ------------------------------------------------------------------------------------------------------- ***** SCOPE ***** ICTO2020international conference is concerned with cutting edge and smartTechnologies (IoT/IoE, Blockchain, Artificial Intelligence...), shedding lighton their impact on organizations and more generally, on the society as a whole.It is the sixth version of ICTO conference that attracts multidisciplinary contributionson information systems from the areas of management information systems,computer science, digital marketing, artificial intelligence, security, digitaltransformation, big data analytics, data science, blockchain, strategicmanagement, operation management and supply chain mainly submitted byinternational scholars. ***** TOPICS ***** Topics of interest include, but are not limited to the following: Track1. Technology and Sustainability Minitrack 1.1. IS and Sustainability Minitrack 1.2. Artificial intelligence and sustainable (ESG)investing/finance Track 2. Technology and Social Impact Minitrack 2.1. ICT for Financial Inclusion of Underprivileged Minitrack 2.2. Smart Technologies in the workplace - Promoting Inclusionand Diversity Minitrack 2.3. Digital Transformation and Social Impact Track 3. Smart City Minitrack 3.1. Towards Smart and Sustainable Organizations and Communities Minitrack 3.2. The role of Artificial Intelligence, IoT, Blockchain indeveloping Smart city Track 4. Data and Analytics Minitrack 4.1. Cognitive Analytics Management: Digital Disruption forInnovative Shared Values Minitrack 4.2. Data Analytics for a better Decision Making Minitrack 4.3. Data Ecosystems: Learning from theory and practice Track 5. Strategic Information Systems for Organizations Minitrack 5.1. IT and Business Innovation Minitrack 5.3. Influencing of ISO Standards on IT Strategies Track 6. Digital Marketing Track 7. Technology and Social Media Strategies Minitrack 7.1. Social media in time of epidemics Track 8. Technology and Security? Minitrack 8.1. Cybersecurity and ICT for Defense Minitrack 8.2. The Emergence of the Global Threat of Cybersecurity ***** IMPORTANT DATES ***** Special Session Proposal: Aug 10, 2020 Paper submission: Aug 10, 2020 Notification of acceptance: Sept 10, 2020 Camera-ready version: Sept 30, 2020 Conference dates: Nov. 5-6, 2020 ***** JOURNAL SPECIAL ISSUES ***** 1. Journal of Global InformationManagement (JGIM) Special Issue: Artificial Intelligence in Global Production Systems and SupplyChain Management https://www.igi-global.com/calls-for-papers-special/journal-global-informat… 2. Journal of Strategic Marketing Special Issue: How to tackle global retail apocalypse using strategicomnichannel management? https://www.tandfonline.com/doi/full/10.1080/0965254X.2020.1766751 3. Review of InternationalBusiness and Strategy Special Issue: Gender differences in developing global digital marketing strategies https://www.emeraldgrouppublishing.com/journal/ribs/gender-differences-deve… 4. Lecture Note in Information Systems and Organisation (Scopus indexed) All accepted papers at ICTO2020 willbe published in Springer Scopus indexed LNISO https://books.google.fr/books/about/ICT_for_a_Better_Life_and_a_Better_Worl… ***** SUBMISSION AND PUBLICATION ***** All papers need to be submitted electronically through the easychair in PDFformat at https://easychair.org/conferences/?conf=icto2020 Accepted conference papers will be published in a Scopus indexed SpringerLecture Note in Information Systems and Organisation (LNISO). At least oneauthor of each accepted paper is required to register and present their work atthe conference. Best paper awards will be presented at the conference. Selectedhigh quality papers, after further extensions and revisions, will be nominated topublish at various special issues of ICTO2020. More details can be found via theconference website: https://icto2020.webs.com/ CONFERENCE CHAIRS Prof Samuel Fosso Wamba, Toulouse Business School, France Prof Nicholas Paparoidamis, EMLV Business School PROGRAM CHAIRS Prof Cinzia Dal Zotto, Neuchatel University, Switzerland Prof Peter Saba, EMLV BS, France Prof Alice Robbin, Indiana University Bloomington, USA Program Chairs for multidisciplinary research Prof Teresina Torre, University di Genova, Italy Prof Antoine L Harfouche, University of Tuscia, Italy Doctoral consortium Chairs Prof Sam Zaza, Middle Tennessee State University, USA Prof Michel Philippart, EDHEC, France Doctoral Consortium Participating Faculty Prof Jessy Nair, PES University, India Prof Mousa AlBashrawi, King Fahd University, KSA ProfElisabetta Magnaghi, Univ Catholique de Lille, France Publications Chairs Prof Marco de Marco, Uninettuno University, Italy Prof Ra'ed Masa'deh, University of Jordan, Jordan International liaison Chairs Prof Marina Johnson, Montclair State University, USA Prof Parisa Maroufkhani, Universiti Teknologi Malaysia Academic Professional Development Workshop Chair Prof Nicolas Travers, ESILV, France SPECIAL SESSION CHAIRS Chair of the French Session: Prof Pauline de Pechpeyrou, University ParisEst Cr?teil, France Chair of the poster Session : Prof Amir Abdulmuhsin Al-Nasser, Universityof Mosul, Iraq ORGANIZING CHAIR Antoine Harfouche, University Paris Nanterre, France ICTO2020 Scientific committee Pr Abbas Tarhini, LebaneseAmerican University, Lebanon Pr Abdullah Albizri, MontclairState University, USA Pr Adriana Schiopoiu Burlea,University of Craiova, Romania Pr Agelika Kokkinaki,University of Nicosia, Cyprus Pr Ali Hussein Zolait,University of Bahrain, Bahrain Pr Alice Robbin, IndianaUniversity Bloomington, USA Pr Amira Tawadros, CairoUniversity, Egypt Pr Ananth Chiravuri, UAEUniversity, United Arab Emirates Pr Andreja Pucihar, Universityof Maribor, Slovenia Pr AntoineHarfouche, Université Paris Nanterre, France Pr Antoine Harfouche,University of Tuscia, Italy Pr Asli Sencer, BogaziciUniversity Istanbul, Turkey Pr Bessem Boubaker, VoltaireBusiness School, Switzerland Pr Cândida Silva, Polytechnicof Porto, Portugal Pr Carine Dominguez-Péry, IAE,University Grenoble Alpes, France Pr Cecilia Rossignoli,University of Verona, Italy Pr Charbel Chedrawi, USJ,Lebanon Pr Cinzia DalZotto, Neuchâtel University, Switzerland Pr Daniele Pederzoli, NEOMABS, France Pr Denis Dennehy, NationalUniversity of Ireland Galway, Ireland Pr Detmar Straub, TempleUniversity's Fox School of Business, USA Pr Dina Sidani, UniversitySaint Joseph, Lebanon Pr Elie Nasr, AUST, Lebanon Pr Fons Wijnhoven, Universityof Twente, Netherlands Pr Gregory Voss, TBS BusinessSchool, France PrGuillermo Rodríguez-Abitia, Universidad Nacional Autónoma de México, Mexico Pr Habil Dmitry Ivanov, BerlinSchool of Economics and Law, Germany Pr Hafiz Imtiaz Ahmad, Higher Colleges of Technology, UAE Pr Hirotoshi Takeda, Laval University, Canada Pr Hind Kabaili, ISCAE,Casablanca, Morocco Pr Ilias Pappas, University ofAgder, Norway Pr Imed Ben Nasr, LaRochelle Business School, Excelia Group, France Pr Jamil Arida, USJ, Lebanon Pr Jean Robert Kala Kamdjoug,Catholic University of Central Africa, Cameroon PrJessy Nair, PES University, India Pr Jihane Aayale, Groupe ISCAE, Morocco Pr John G. Keogh, HenleyBusiness School, University of Reading Pr John Otieno Oredo, Universityof Nairobi, Kenya PrJules Degila, University Abomey-Calavi, Benin Pr Kalinka Kaloyanova, Sofia University, Bulgaria PrKassem Danach, Université d'Artois, France Pr Kathy Shen, University ofWollongong in Dubai, UAE PrKenneth R Deans, Groupe Sup. de Co. La Rochelle, France Pr KonstantinaSpanaki, Loughborough University, UK PrLinda Hamdi-Kidar, tbs, France PrLuisa Varrial, University of Naples Parthenope, Italy Pr Marco de Marco, Uninettuno University, Italy PrMaciel M. Queiroz, Paulista University – UNIP, Brazil PrMarina Johnson Montclair State University, USA PrMazen El-Masri, Qatar University, Qatar PrMichel Philippart, EDHEC, France Pr Mohamad Akoum, Grenoble Ecole de Management, France Pr Mohamed Amine Issami, GroupeISCAE, Morocco Pr Mohammed Al-Sharafi,University of Malaysia Pahang, Malaysia Pr Monica Chiarini Tremblay,Florida International University College of Business, USA Pr Nada Mallah Boustani, Saint Joseph University, Lebanon PrNadia Tebourbi, ESCE Paris, France Pr Nicholas Paparoidamis,EMLV, France Pr Nisreen Ameen, Royal Holloway, University of London, UK Pr Nizar Raissi, Umm al QuraUniversity, KSA Pr Ovais Ahmad, Karlstad University, Sweden Pr Pauline de Pechpeyrou, IAEGustave Eiffel, France Pr Parisa Maroufkhani, Universiti Teknologi Malaysia Pr Peter Saba, EMLV, France Pr Rameshwar Dubey, Doctoral School of Management, Liverpool Business School,UK Pr Ra'ed Masa'deh, Universityof Jordan, Jordan PrRoeland Aernoudts, Radboud University, Netherlands Pr Rolande Marciniak, Université Paris Ouest Nanterre La Défense, France PrRoland Ahouman, Ivory Coast Pr SamZaza, Middle Tennessee State University, USA Pr Samuel Fosso Wamba, TBS, France PrSelwa El Firdoussi, EMINES, Université Mohammed VI Polytechnique, Morocco Pr Shahriar Akter, SydneyBusiness School, University of Wollongong, Australia Pr Slim Turki, LuxembourgInstitute of Science and Technology, Luxembourg PrStacie Petter, Baylor University, USA PrStacie Petter, Baylor University, USA Pr Stella Despoudi, AstonBusiness School, UK PrTatiana Pekarskaia Dauxert, SKEMA, France Pr Teresina Torre, Università di Genova, Italy Pr Tetsuo Noda, ShimaneUniversity, Japan Pr Uthayasankar Sivarajah,School of Management, University of Bradford, UK Pr Walid Nakara, MontpellierBusiness School, France Pr Wesley Palmer, YorkCollege, City University of New York, USA Pr Yulia Sullivan, Baylor University, Texas, USA Pr Amir AbdulmuhsinAl-Nasser, University of Mosul (UoM), Iraq Pr FabrizioD’Ascenzo, University La Sapienza Roma1, Italy Pr PayamHanafizadeh, Allameh Tabataba'i University, Tehran-Iran _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] AMCIS 2020 SIGBPS Virtual Workshop on Blockchain and Financial Analytics--Call for Participation
by Gustaf Neumann 08 Aug '20

08 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] AMCIS 2020 SIGBPS Virtual Workshop on Blockchain and Financial Analytics--Call for Participation Date: Sat, 8 Aug 2020 08:46:46 -0500 From: Kang Zhao <kangzhao7(a)gmail.com> To: aisworld(a)lists.aisnet.org Dear Colleagues, Please join us for the AMCIS 2020 SIGBPS Virtual Workshop on Blockchain and Financial Analytics (http://epic.is.cityu.edu.hk/SIGBPS/BPS20/index.htm) to be held concurrently with the AMCIS conference. The purpose of the SIGBPS workshop this year is to provide an interdisciplinary forum to discuss new research directions in the areas of building trustworthy business processes and services with blockchain technology and business analytics. The workshop will span into two consecutive days with two tracks on each day: 1. Thursday, August 13, 2020 at 8:30am – 12:00pm (MT) Track-1: Data Analytics for Financial Applications Track-2: Blockchain Ecosystems and Communities in Finance 2. Friday, August 14, 2020 at 8:30am – 12:00pm (MT) Track-3: Blockchain Security and Adoption: Challenges & Opportunities Track-4: Blockchain Enabled Process Innovation Tentative schedules are included for your references. Note that registration for AMCIS is required and the fee can be waived for students and many others. The workshop does not charge additional registration fees. Information on how to access the workshop can be found in the AMCIS app. -- Kang Zhao, Ph.D. Tippie College of Business The University of Iowa Website: http://www.kangzhao.net

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Fwd: [AISWorld] CFP:Responsible AI and Analytics for an Ethical and Inclusive Digitised Society
by Gustaf Neumann 06 Aug '20

06 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP:Responsible AI and Analytics for an Ethical and Inclusive Digitised Society Date: Wed, 5 Aug 2020 19:34:38 +0000 From: Dennehy, Denis <denis.dennehy(a)nuigalway.ie> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> The 20th IFIP Conference e-Business, e-Services, and e-Society I3E2021 Responsible AI and Analytics for an Ethical and Inclusive Digitised Society 1st – 3rd September 2021 NUI Galway, Galway, Ireland www.I3E2021.com<http://www.i3e2021.com/> AI, analytics, and ICT in general, create opportunities and unintended or negative consequences for individuals and society (cf. Ransbotham et al., 2016; Majchrzak et al., 2016). These opportunities and consequences have not been evenly distributed. Despite the many personal, economic, and societal benefits offered by AI and analytics, its use raises a variety of ethical concerns. Ethics permeates the entire analytics process, from what data to use, to how to represent the extracted knowledge and exploit the insights to create economic and social value. Ethical concerns (i.e. illegitimate surveillance, invasion of privacy, unemployment, malicious use etc.) are frequently used to portray AI and analytics as ‘a danger to humanity’. These concerns warrant the attention of the academic community who are in a privileged position within society to raise awareness about the responsible design, implementation and use of AI, analytics, and ICT. At the same time, AI and analytics has opened new domains of exclusion and privilege for some, leaving some individuals and communities excluded from the digitised society. For example, digital exclusion is part of the overall challenge of exclusion, a growing phenomenon which carries with it a series of deteriorations in life paths (i.e. poor lifelong earnings and an increased risk of marginalisation). There are many who are currently excluded for reasons of low income and education, location, culture, trust and confidence levels or various disabilities (European Commission). Success in the increasingly digitised society requires a comprehensive approach to fostering an ethical and inclusive society. The 20th IFIP Conference on e-Business, e-Services, and e-Society aims to bring together contributions from a variety of perspectives, disciplines and communities for the advancement of knowledge regarding Responsible AI and Analytics for an Ethical and Inclusive Digitised Society. To this end, we invite scholars, practitioners and research students to submit and present their papers and findings to the 20th IFIP Conference on e-Business, e-Services, and e-Society to be held in September 2021 at NUI Galway, Galway, Ireland. Theoretical and empirical papers employing quantitative, qualitative, and/or critical methods are welcomed. Submission Guidelines Authors should submit original, unpublished research papers. All papers must not simultaneously be submitted to another journal or conference. All accepted papers will be published in the conference proceedings. Submissions should not be under consideration for any other conference or journal outlet. Special Issues Authors of selected papers will be invited to submit an extended and revised version of their paper for fast track review and publication with the following ABS ranked journals. * Information Systems Frontiers * International Journal of Information Management * Journal of Decision Systems * Information available on conference website. Important Dates: * Submission date: 28th February 2021 * Notification to authors: 31st March 2021 * Camera ready submission: 30th April 2021 * Early bird registration: 10th May 2021 Conference Chairs * Denis Dennehy, National University of Ireland Galway, Ireland * Anastasia Griva, National University of Ireland Galway, Ireland Conference Co-Chairs * Yogesh, K Dwivedi, Swansea University, UK * Matti Mäntymäki, University of Turku, Finland * Ilias Pappas, University of Agder & NTNU, Norway * Nancy Pouloudi, Athens University of Economics and Business, Greece Pre-Conference Doctoral Symposium (31st August) PhD candidates can submit a brief proposal (max 5 pages) to the Doctoral Symposium. No extra fees included. Details available on the conference website. Doctoral Consortium Co-chairs * Kieran Conboy, National University of Ireland Galway, Ireland * Nancy Pouloudi, Athens University of Economics and Business, Greece * Cleopatra Bardaki, Harokopio University, Athens, Greece Program Co-chairs and Co-editors of Conference Proceedings * Denis Dennehy, National University of Ireland Galway, Ireland * Anastasia Griva, National University of Ireland Galway, Ireland * Nancy Pouloudi, Athens University of Economics and Business, Greece * Yogesh K Dwivedi, Swansea University, UK * Matti Mäntymäki, University of Turku, Finland * Ilias Pappas, University of Agder & NTNU, Norway Topics of Submission Papers employing quantitative, qualitative, and/or critical methods are welcomed. Areas of interest include, amongst others, the following themes: General Conference Theme * Societal impact of AI, analytics and current or emerging technologies or technological trends, e.g. IoT, robotics, smart cities, blockchain * Dark-side of AI and analytics * Innovations in AI and analytics * AI and the future of work * Ethical issues related to AI and analytics * The role of AI and analytics in social inclusion/exclusion and educational (in)equality * Strategies (e.g. best practices, policies, and governance mechanisms) for addressing the unintended consequences of AI and analytics * Implications of collaborative analytics in a digitised society Information Systems * Sentiment analytics * Software analytics * Social media analytics * Big data analytics * ICTs for enabling smart cities * Ethics and CSR issues related to AI and analytics * Smart infrastructure management * National digital and Internet policy * Cyber security * Blockchain * Digital ecosystems * Public policy for digital transformation * Inter-organisation information systems * Application of AI and analytics to address societal challenges * Leveraging AI and analytics for social innovation and entrepreneurship * Organisational learning and innovation from AI and analytics * Human computer interaction (HCI) * Smart AI, analytics, and ICT adoption studies * Smart transportation and mobility * Smart urbanisation and living * Supply chain management * Information dissemination * Analysis of user generated content * Open data initiatives * Digital inclusion * Business Intelligence * Learning analytics * e-Learning organisational issues * Gamification * Educational systems design * Virtual learning environments Ransbotham, S., Fichman, R.G., Gopal, R. and Gupta, A., 2016. Special section introduction—ubiquitous IT and digital vulnerabilities. Information Systems Research, 27(4), pp.834-847. Majchrzak, A., Markus, M.L. and Wareham, J., 2016. Designing for digital transformation: Lessons for information systems research from the study of ICT and societal challenges. MIS Quarterly, 40(2), pp.267-277. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Special Issue CfP: Business Analytics for the Management of Information Systems Development
by Gustaf Neumann 06 Aug '20

06 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] Special Issue CfP: Business Analytics for the Management of Information Systems Development Date: Wed, 5 Aug 2020 19:36:02 +0000 From: Dennehy, Denis <denis.dennehy(a)nuigalway.ie> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Special issue CfP from Information Technology & People Submission deadline: 30th September 2020 Special issue editors: Denis Dennehy, National University of Ireland Galway, Ireland Email: denis.dennehy(a)nuigalway.ie<mailto:denis.dennehy@nuigalway.ie> Ilias Pappas, University of Agder, Norway Email: ilias.pappas(a)uia.no<mailto:%20ilias.pappas@uia.no> Samuel Fossa Wamba, Toulouse Business School, France Email: s.fosso-wamba(a)tbs-education.fr<mailto:s.fosso-wamba@tbs-education.fr> Katina Michael, Arizona State University, USA Email: katina.michael(a)asu.edu <mailto:katina.michael@asu.edu> <mailto:katina.michael@asu.edu>Overview of Special Issue Information Systems Development (ISD) has been part of the intellectual core of information systems for over 40 years (Obrand et al., 2018; Sidorova et al., 2008). Its chequered history of successes and failures has, however, been an ongoing concern of the IS research community (Dwivedi et al., 2015; Hassan & Mathiassen, 2017). Despite efforts to improve the management of ISD projects, these efforts have not had the desired effect (Lim et al., 2011). There is anecdotal evidence that business analytics can help project managers to (i) understand the dynamics and collective state of complex projects, (ii) detect and forecast trends, (iii) improve the effectiveness of risk models, (iv) evaluate the effectiveness of a change to the development process, and (v) distinguish questions of ‘information’ from questions of ‘insight’ (Davenport et al., 2010). Business analytics are frequently referred to as ‘the techniques, technologies, systems, practices, methodologies, and applications that analyse critical business data to help an enterprise better understand its business and market and make timely decisions’ (Chen et al., 2012, p.1166). Yet, much of the research conducted to date has focused on the technologies of business analytics and not enough on the people and their organisational context in which such technologies are intended to be used (Abbasi et al, 2017; Conboy et al., 2018; Mikalef et al., 2019). This is a significant limitation given that the ISD environment is a highly metric oriented, complex, and socially embedded activity that is continuously changing (Conboy, 2009; Kudaravalli et al., 2017; Windeler et al., 2017). This special issue seeks to collect contemporary research on the latest developments and challenges of how organisations exploit business analytics to support project/portfolio managers, project teams, and other project stakeholders. Indicative List of Anticipated Themes This special issue seeks a wide range of articles that draw on diverse project settings, theories, and approaches to understand the different aspects of business analytics as applied to the context of ISD. The following questions are of interest for the special issue: • How can business analytics be used to better understand and manage ISD projects? • What value does business analytics provide to ISD management and development teams? • What tensions arise from the integration of business analytics with traditional and agile methods and practices? • What are the emerging best practices that enable business analytics to be embedded within the ISD process and the wider organisation? • Does the deployment of business analytics make existing agile methods and practices less valuable or even obsolete? • What new metrics and standards can business analytics provide to manage and control ISD projects more effectively? • How can business analytics enable organisational learning and innovation in the context of ISD? • How are business analytics being applied in various types (distributed, large scale) of ISD projects? • How can business analytics support the scaling of ISD projects? • What are the change management and organisational cultural issues that need to be considered when developing analytical capabilities? • How can business analytics provide new ways of working in ISD projects? • What ethical issues stem from the use of business analytics in ISD projects? • How can business analytics be used to support more effective decision making? • What are the new theories and theoretical developments to explain the implementation and use of business analytics in ISD projects? These questions are not intended to be exhaustive. Rather they are intended to stimulate thinking about the role of business analytics in the management of ISD projects across various levels of analysis - from participants in individual projects through projects, programs, portfolios, organisations, and the wider society. We welcome submissions that address questions pertaining to all aspects of the intersection of business analytics and ISD project management. Important Dates: • Initial paper submission deadline: 30th September, 2020 • First round authors notification: 30th November, 2020 • Invited revisions deadline: 31st January, 2021 • Second round authors notification: 31st March, 2021 • Final revision deadline: 31st May, 2021 • Final authors notification: 30th June, 2021 • Projected publication date: Winter 2021 Submission Details 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: http://mc.manuscriptcentral.com/itp References Abbasi, A., Sarker, S. and Chiang, R.H., 2016. Big data research in information systems: Toward an inclusive research agenda. Journal of the Association for Information Systems, 17(2), p.I. Conboy, K., Dennehy, D., & O'Connor, M. (2018). ‘Big time’: An examination of temporal complexity and business value in analytics. Information & Management. Conboy, K., 2009. Agility from first principles: Reconstructing the concept of agility in information systems development. Information Systems Research, 20(3), pp.329-354. Chen, H., Chiang, R.H. and Storey, V.C., 2012. Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4). Davenport, T.H., Harris, J. and Shapiro, J., 2010. Competing on talent analytics. Harvard Business Review, 88(10), pp.52-58. Dwivedi, Y.K., Wastell, D., Laumer, S., Henriksen, H.Z., Myers, M.D., Bunker, D., Elbanna, A., Ravishankar, M.N. and Srivastava, S.C., 2015. Research on information systems failures and successes: Status update and future directions. Information Systems Frontiers, 17(1), pp.143-157. Hassan, N.R. and Mathiassen, L., 2018. Distilling a body of knowledge for information systems development. Information Systems Journal, 28(1), pp.175-226. Kudaravalli, S., Faraj, S. and Johnson, S.L., 2017. A Configural Approach to Coordinating Expertise in Software Development Teams. MIS Quarterly, 41(1). Lim, E.P., Chen, H. and Chen, G., 2013. Business intelligence and analytics: Research directions. ACM Transactions on Management Information Systems (TMIS), 3(4), p.17. Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019). Big data analytics capabilities and innovation: the mediating role of dynamic capabilities and moderating effect of the environment. British Journal of Management, 30(2), 272-298. Sidorova, A., Evangelopoulos, N., Valacich, J.S. and Ramakrishnan, T., 2008. Uncovering the intellectual core of the information systems discipline. MIS Quarterly, pp.467-482. Öbrand, L., Augustsson, N.P., Mathiassen, L. and Holmström, J., 2019. The interstitiality of IT risk: An inquiry into information systems development practices. Information Systems Journal, 29(1), pp.97-118. Windeler, J.B., Maruping, L. and Venkatesh, V., 2017. Technical systems development risk factors: The role of empowering leadership in lowering developers’ stress. Information Systems Research, 28(4), pp.775-796. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Pre-ICIS SIGDSA 2020: CFP Prototypes Track
by Gustaf Neumann 06 Aug '20

06 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] Pre-ICIS SIGDSA 2020: CFP Prototypes Track Date: Wed, 5 Aug 2020 19:43:14 +0000 From: Matta, Vic <matta(a)ohio.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Special Interest Group for Decision Sciences and Analytics (SIGDSA) CALL FOR PROTOTYPE DEMONSTRATIONS & IDEA PAPERS Proposals are invited to a Prototypes track for submission to the Pre-ICIS 2020 SIGDSA Symposium. Submissions can be of one of the types listed below. 1. Prototype demonstrations proposals: These are showcasing innovative methodological developments or applications of artificial intelligence, machine learning, deep learning, text mining, and other data analytics/decision support techniques are encouraged. Prototypes should highlight aspects such as novelty, architecture, functioning, and ongoing/future work. This high-visibility category is different from paper presentation category and provides an opportunity to display a working artifact to an audience in an interactive manner. Prototype demonstrations will involve a poster display (printed or electronic) and a live demonstration of a prototype to the attendees. 2. Design science-oriented idea papers: Idea papers are supposed to identify innovative future lines of design-oriented BIA research related to the topics discussed above. The idea papers should include a convincing motivation, a brief overview of the relevant state of the art, the core idea, possible contributions to research and practice, and an outline of a possible course of the research project. Submission Topics These can be related to (but not limited to) business intelligence, big data analytics, data federation, data management and analytics in the cloud (incl. containerized analytics and function-as-a-service for analytics), data catalogs, process mining, ETL and business intelligence automation and security, streaming data management, social media analytics, machine and deep learning, embedded analytics (e.g., Internet of Things, or IoT), visual analytics, cognitive computing and artificial intelligence, model sharing, deployment and administration systems, analytics-oriented data generation for teaching, development, or testing, or platforms for community-based model development / analytics competitions or other emerging data management and analytic technologies. Submissions may also highlight novel applications in one or more business sectors, e.g., financial services, manufacturing, logistics, retail, pharmaceutical, healthcare, government, agribusiness, hospitality, IT services, education and entertainment, supply chain, etc. The contributions should ignite a joint brainstorming session on future trajectories for business intelligence and analytics (BIA) research. JOURNAL PUBLICATION OPPORTUNITY Selected papers from the symposium will be eligible for fast-track review for publication consideration in the https://www.tandfonline.com/loi/tjba20. It should be noted that the papers will go through a rigorous review process with no guarantee of acceptance. The papers will need to be extended to full papers and then submitted to the journal to be considered for publication. SUBMISSION GUIDELINES Prototype proposals and idea papers can be submitted in one of two formats 1. extended abstract: two to three single-spaced pages in length, or 2. complete papers: six to seven pages in length. In addition to the Title, Abstract, and Keywords, a prototype proposal should contain only one or two sections describing the prototype or core research idea to be showcased, highlighting the key features and novelty. Submission type should be mentioned in the submission as Prototype Demonstration or Design Research Idea Paper respectively. • Submission Format All submissions must conform to the template linked https://preicissigdsa2020.files.wordpress.com/2020/08/sigdsa2020_submission… . • Submission System All papers need to be submitted through the Easy Chair system linked https://easychair.org/conferences/?conf=sigdsa2020symposium. The submitting author will need to create an account to submit the paper. • Important Dates - Submission Deadline: September 10, 2020 - Other relevant dates: https://preicissigdsa2020.wordpress.com/important-dates. AWARDS • Best Prototype Award Prototypes/demonstrations (not the idea papers) will be evaluated at the conference by a panel of judges. One prototype will be selected for the “Best Prototype” award recognition at the symposium. • Best Reviewer Award One reviewer from the prototype track will be selected for the “Best Reviewer” award recognition at the symposium. PROTOTYPE TRACK CO-CHAIRS For questions regarding the submissions to the prototypes track, please contact us. Please use the subject line: “Pre-ICIS SIGDSA 2020 Question” • Vic Matta, (matta(a)ohio.edu), Ohio University, USA. • Aleš Popovič, (ales.popovic(a)neoma-bs.fr), NEOMA Business School, France Best, Vic Matta (PhD) Associate Professor, Analytics & Information Systems, College of Business, Ohio University 71 S. Court Street, Copeland Hall #228, Athens, OH 45701 O: +1(740)593-0656, W: http://cob.ohio.edu/matta _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Papers -- Special Issue on Online Education -- Journal of IT Case and Application Research - Deadline October 1, 2020
by Gustaf Neumann 06 Aug '20

06 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers -- Special Issue on Online Education -- Journal of IT Case and Application Research - Deadline October 1, 2020 Date: Wed, 5 Aug 2020 23:31:42 +0000 From: Shailendra Palvia <Shailendra.Palvia(a)liu.edu> To: AISWorld <aisworld(a)lists.aisnet.org> CC: bg(a)prospectpressvt.com <bg(a)prospectpressvt.com> Dear Colleagues Worldwide: Call for Papers Special Issue, Volume 23, Number 2, 2021 Journal of Information Technology Case and Application Research (JITCAR) Special Issue on Online Education Online education in its various modes has been growing steadily worldwide due to the confluence of new technologies, global adoption of internet, and intensifying demand for a workforce trained periodically for the ever-evolving digital economy. Pandemic Covid-19 has accelerated this transformation. Global, country, institutional, curriculum/program, and micro level factors impact quantity and quality of online education. Micro level factors include technology, professors, students, and course characteristics and their interactions. Several questions will remain unanswered: What new pedagogical theories and technologies were at play and continue to emerge? What innovative individual, disciplinary, and/or organizational shifts took place to ensure effective learning? How do we maintain, extend, and innovate on these strategies going forward? This special issue is dedicated to the analysis of the evolution of traditional in-class education towards blended, hybrid, flipped, synchrono us online, asynchronous online and combinations thereof. Topics for submission can include the following and any other relevant subject on this theme: * Efficacy of Online Education in Various Modes * Impact of Institutional Characteristics on Implementation of Online Education * Impediments to Globalization of Online Education * Effectiveness of Online Education Platforms like Blackboard, Moodle, Zoom, Webex * New Rules and Regulations for Online Education * Meta-analysis of Online Education Studies * Impact on Learning Outcomes with Online Education * Mediating Factors in Successful Implementation of Online Education * Cyber threats Plagiarism Issues with Online Education Please note that for regular issues of JITCAR, it is required that the underlying research methodology is case and/or application based. But, for special issues all research methodologies are acceptable. This special issue also welcomes Teaching Case articles describing certain contemporary methods of teaching that engage students in realistic scenarios pertaining to e-education. Such Teaching Case articles must be accompanied by a Research Note and a Teaching Note. Submission Format and Guidelines All submitted papers must be clearly written in English and must contain only original work, which has not been published by, or is currently under review for, any other journal, conference, symposium, or workshop. Manuscripts should explicitly state what is unique and valuable about the paper within the context of the special issue theme. Important Dates: * Paper Submission Deadline: October 01, 2020 * First Round Decision: November 30, 2020 * Revision Due: January 15, 2021 * Final Decision: February 28, 2021 Submission Requirements There are two Special Issue co-editors. Please submit your manuscript to Shailendra Palvia (spalvia(a)liu.edu<mailto:spalvia@liu.edu>) by the due dates. Please make sure you review and refer to any past relevant articles published in JITCAR. Please note that JITCAR is included in SCOPUS besides several other indexes. Please read more details on the journal website. https://think.taylorandfrancis.com/special_issues/online-education/ Special Issue Co-editors: Dr. Shailendra C. Palvia (spalvia(a)liu.edu<mailto:spalvia@liu.edu>) is Professor of MIS at Long Island University (LIU) Post. At LIU, he was Director of MIS during 1997-2004. He received his Ph.D. and M.B.A. from the University of Minnesota, and B.S. in Chemical engineering from the Indian Institute of Technology in New Delhi, India. He has published over 150 articles in refereed journals and conference proceedings including Decision Sciences, Communications of the ACM, MIS Quarterly, Information & Management, and Communications of AIS. He is Founding Editor (1999-2007) and Editor (July 1, 2013 to June 30, 2020) of the Journal of IT Case and Application Research (JITCAR). During 2002-2013, he chaired eleven annual international smart-sourcing conferences in USA, India, and South Korea. He was nominated by the LIU Post receive Robert Krasnoff Lifetime Scholarship Award in 2012 and 2016. Dr. Palvia has co-edited four books on Global IT Management and one book on Global Sourcing Man agement. He spent four months of January to April, 2017 at the Indian Institute of Management, Ahmedabad, India in his role as Fulbright-Nehru Senior Scholar. He has been an invited speaker (including keynote speaker) to Germany, India, Italy, Russia, Singapore, Thailand, and USA. Dr. Vic Matta (matta(a)ohio.edu<mailto:matta@ohio.edu>) is an Associate Professor of Analytics and Information Systems (AIS) at the College of Business, Ohio University. He received his Ph.D. from the Russ College of Engineering and Technology at Ohio University in 2008. Vic teaches undergraduate and graduate level courses in Business Analytics, Information Systems Analysis, Systems Development, and Strategic Use of Information Systems. He also conducts seminars in business consulting and project management as part of executive education workshops at Ohio University. He is an accomplished teacher and has won several awards at the college and university for his commitment to Teaching and Service. He has published in academic and pedagogical journals such as International Journal of Information Management, Journal of Computer Information Systems and Journal of Information Systems Education, etc. Vic has editorial experience with Information Systems Frontiers (Associate Editor) and Journa l of Information Systems Education (Editorial Board). He is a member of the Association of Information Systems (AIS), and actively participates as a chair, reviewer, organizer and presenter at information systems conferences and groups such as the International Conference for Information Systems (ICIS) and the Special Interest Group for Decision Sciences and Analytics (SIGDSA). Sincerely Dr. Shailendra Palvia Fulbright-Nehru Senior Scholar 2016-17 Professor of MIS, College of Management Long Island University Post, Brookville, NY 11801. Lifetime Scholarly Achievement Nomination from LIU Post in 2012 and 2016 http://liu.edu/CWPost/Academics/Faculty/Faculty/P/Shailendra-Palvia?rn=Facu… Editor-in-Chief, Journal of IT Case and Application Research (JITCAR) Phone #: 732-983-7034 Thou shall not hurt anybody by action, speech or thought directly or indirectly, consciously or subconsciously and if you do, ask for forgiveness. Please consider well being ! Of not just human beings !! But all living beings !!! _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Special Issue on Edge Computing Optimization Using Artificial Intelligence Methods
by Gustaf Neumann 03 Aug '20

03 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] Special Issue on Edge Computing Optimization Using Artificial Intelligence Methods Date: Mon, 3 Aug 2020 13:58:43 +0000 From: Naercio Magaia <ndmagaia(a)fc.ul.pt> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Dear Colleagues, The growing importance of the Internet of Things (IoT) and the ubiquitous high capacity provided by 5G technologies have brought the specter of massive quantities of data being generated and/or consumed by sensors, actuators, and smart devices. Such massive amounts of data require considerable processing power, which is available in the cloud. However, cloud-based computation and data delivery models do not allow the stringent quality of service (QoS) guarantees to be efficiently harnessed. The latter is due to the number of hops of wired networks between the data endpoints and the cloud, which leads to a significant increase in latency, which may dramatically affect real-time control and other critical systems. Moreover, forwarding all the data generated by such devices directly to the cloud may devour the network bandwidth, leading to congestion. Therefore, it is necessary that critical processing to be hosted closer to the endpoint devices, i.e., closer to the sources and sinks of the data so that data can be processed and filtered out by the time it reaches the cloud. This can be achieved through Edge Computing (EC). Efficient, scalable, and QoS-aware placement of IoT data processing jobs in EC resources is a complex optimization problem and, currently, an active research topic. As new jobs are created, they have to be assigned computational resources dynamically, matching job requirements with the cost, reliability, location (and mobility), besides the current availability of the resources. Less critical or demanding communication jobs may be offloaded to the cloud. The use of Artificial Intelligence (AI) methods to jointly tackle the problem of job placement optimization, including jobs belonging to AI-based data analytics software, constitute currently active research topics addressed by this Special Issue. For this Special Issue, original scientific articles are welcome on the following as well as closely related topics: - AI-based algorithms to optimize job placement in EC - AI software architectures favoring distributed computing job placement in EC resources (e.g., Distributed Deep Neural Network architectures) - AI-based mechanisms supporting open EC markets leveraging the participation of third-party computing resources opportunistically (e.g., parked autonomous vehicles) - AI-based methods to optimize mobile EC resources' placement (e.g., EC capable drones) Guest Editors: - Prof. Dr. António M.R.C. Grilo - Prof. Dr. Paulo Rogerio Pereira - Prof. Dr. Naércio Magaia

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Fwd: [AISWorld] CfP: Track AI-based Systems - User Interaction, Design and Methods @WI 2021
by Gustaf Neumann 03 Aug '20

03 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] CfP: Track AI-based Systems - User Interaction, Design and Methods @WI 2021 Date: Mon, 3 Aug 2020 14:49:51 +0000 From: Mihale-Wilson, Cristina <mihale-wilson(a)wiwi.uni-frankfurt.de> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees. CALL FOR PAPERS - WI 2021 Track " AI-based Systems - User Interaction, Design and Methods " ########################################################################## International Congress on Information Systems and Wirtschaftsinformatik (WI 2021) March 9th - 11th 2021 / University of Duisburg-Essen, Germany (http://wi2021.de/) Track " AI-based Systems - User Interaction, Design and Methods " ########################################################################## **Track Description : Artificial Intelligence (AI)-based systems are omnipresent and people interact with them in both private and business contexts. AI-based Systems open up not only a multitude of opportunities for individuals, companies, or society, but also bring a number of risks and dangers. Concerned with the potential risks and concrete dangers of AI-based systems from an ethical, legal, and social perspective, this track welcomes contributions about the impact (on the individual, organizational, and societal level), optimal design, and management of AI-based systems. The track is open to all kinds of methods and types of contributions that address the following or related topics: - Hybrid and Augmented Intelligence - Human-AI-Collaboration (Human-in-the-loop) - AI-based Assistance Systems (for individuals and organizations) - Development, Design, and Implementation of AI-based Systems - Trust in AI-based Systems - Explainability and Transparency of AI-based Systems - Business, Managerial, and Strategic Implications of AI - The dark side of AI-based Systems: Bias, Discrimination, and Aversion - AI in organizations (e.g. AI and product innovation, AI and customer care, AI and marketing, AI and process optimization) - Economic potentials of AI (e.g. new business models enabled by AI-based systems) - Ethical, legal and social implications of AI and AI-based systems **Track Co-Chairs: Cristina Mihale-Wilson, Goethe-University Frankfurt, Germany Stefan Morana, Universität des Saarlandes, Germany Alexander Benlian, Technische Universität Darmstadt, Germany Oliver Hinz , Goethe-Universität Frankfurt, Germany **Important Dates: Deadline for Submissions: 28.08.2020 Notification of Acceptance: 30.10.2020 Final Paper Submission: 30.11.2020 Final Acceptance: 14.12.2020 **For more Information please visit: https://wi2021.de/ For questions please contact: mihale-wilson(a)wiwi.uni-frankfurt.de<mailto:mihale-wilson@wiwi.uni-frankfurt.de>. ### DEUTSCH ### **Track Beschreibung: Künstliche Intelligenz (KI) und KI-basierte Systeme sind allgegenwärtig. Die Menschen interagieren jetzt schon mit Ihnen, sowohl im privaten als auch im geschäftlichen Kontext. KI-basierte Systeme eröffnen eine Vielzahl von Chancen für Individuen, Unternehmen oder die Gesellschaft, bergen aber auch eine Reihe von Risiken und Gefahren. Dieser Track befasst sich mit den potentiellen Risiken und konkreten Gefahren von KI-basierten Systemen aus ethischer, rechtlicher und sozialer Perspektive und begrüßt Beiträge über die Auswirkungen (auf individueller, organisatorischer und gesellschaftlicher Ebene), die optimale Gestaltung und das Management von KI-basierten Systemen. Der Track ist offen für alle Methoden und Arten von Beiträge, die folgende oder verwandte Themen adressieren: - Hybride und erweiterte KI - Zusammenarbeit zwischen Mensch und KI (Human-in-the-Loop) - KI-basierte Assistenzsysteme (für Endnutzer und Unternehmen) - Entwicklung, Gestaltung und Implementierung von KI-basierten Systemen - Vertrauen und Misstrauen in KI-basierte Systeme - Erklärbarkeit und Transparenz von KI-basierten Systemen - Operative und strategische Auswirkungen von KI-basierten Systemen in Unternehmen - Nachteile KI-basierter Systeme: Verzerrungen, Diskriminierung und Ablehnung - Praktischer Einsatz von KI in Organisationen (z.B. KI und Produktinnovation, KI und Kundenbetreuung, KI und Marketing, KI und Prozessoptimierung) - Wirtschaftliche Potentiale der KI (z.B. neue Geschäftsmodelle durch den Einsatz von KI-basierten Systemen) - Ethische, rechtliche und soziale Implikationen von KI und KI-basierten Systeme **Track Co-Chairs: Cristina Mihale-Wilson, Goethe-University Frankfurt, Germany Stefan Morana, Universität des Saarlandes, Germany Alexander Benlian, Technische Universität Darmstadt, Germany Oliver Hinz , Goethe-Universität Frankfurt, Germany **Fristen: Deadline for Submissions: 28.08.2020 Notification of Acceptance: 30.10.2020 Final Paper Submission: 30.11.2020 Final Acceptance: 14.12.2020 **Mehr Informationen auf: https://wi2021.de/ Bei Fragen bitte an mihale-wilson(a)wiwi.uni-frankfurt.de<mailto:mihale-wilson@wiwi.uni-frankfurt.de> wenden. Kind regards/mit freundlichen Grüßen Cristina Mihale-Wilson, Stefan Morana, Alexander Benlian , Oliver Hinz --- Cristina Mihale-Wilson (M.Sc.) | Professur für Wirtschaftsinformatik und Informationsmanagement Fachbereich Wirtschaftswissenschaften Goethe Universität Frankfurt | Theodor-W.-Adorno-Platz 4 | D- 60323 Frankfurt am Main | Germany mihale-wilson(a)wiwi.uni-frankfurt.de<mailto:mihale-wilson@wiwi.uni-frankfurt.de>| www.wiim.uni-frankfurt.de | Tel. +49 (0)69 798 34658 | Fax +49 (0)69 798 33910 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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