Cfp January 2019

cfp@alice.wu.ac.at

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174 discussions

Fwd: [AISWorld] CFP - The Journal of Business Analytics
by Gustaf Neumann 28 Jan '19

28 Jan '19

-------- Forwarded Message -------- Subject: [AISWorld] CFP - The Journal of Business Analytics Date: Sun, 27 Jan 2019 23:30:43 +0000 From: Delen, Dursun <dursun.delen(a)okstate.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> We are off to a great start with the Journal of Business Analytics, an official journal of the Operational Research Society. Please go to https://www.tandfonline.com/toc/tjba20/current to browse the latest papers, and while you are there, take a look at Dr. Tom Davenport’s most recent paper on business analytics and AI, titled “From analytics to artificial intelligence” at https://www.tandfonline.com/doi/full/10.1080/2573234X.2018.1543535. The Journal of Business Analytics aims to publish manuscripts that report on real solutions to complex real-world business problems that involve real-world data along with innovative and creative business analytics methods and methodologies. A representative list of topic areas includes: * AI, deep learning, and machine learning in business analytics * Statistical approaches in business analytics * Econometrics in business analytics * Emerging areas of network science and large scale graph analysis for business problems * Field experiments and field studies combining prediction and prescriptive analyses * Integrating statistical and machine learning for business analytics * Data quality issues and innovative solutions * Innovative business analytics development methodologies * Organizational and behavioral aspects of business analytics * Use of other types of data science techniques in business analytics, as long as they are evaluated rigorously using real-world datasets. Please consider the Journal of Business Analytics as a natural outlet for your business analytics focused research manuscripts. If you are interested in being a part of this exciting initiative by serving on the editorial board, please let us know. For any questions, comments, or suggestions, feel free to email us. Editors: Dr. Dursun Delen (dursun.delen(a)okstate.edu) Dr. Sudha Ram (ram(a)eller.arizona.edu) _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] [Extended Submission Due Date - March 15th] CfP for the APJIS Special Issue, "Smart Services and IoT"
by Gustaf Neumann 28 Jan '19

28 Jan '19

-------- Forwarded Message -------- Subject: [AISWorld] [Extended Submission Due Date - March 15th] CfP for the APJIS Special Issue, "Smart Services and IoT" Date: Mon, 28 Jan 2019 11:51:00 +0900 From: Sung-Byung Yang <sbyang(a)ajou.ac.kr> To: aisworld(a)lists.aisnet.org [CALL FOR PAPERS] Asia Pacific Journal of Information Systems (APJIS), a SCOPUS indexed Journal Special Issue: SMART SERVICES AND INTERNET OF THINGS ASIA PACIFIC JOURNAL OF INFORMATION SYSTEMS: APJIS is the premier journal on information systems research in the Asia Pacific region. The journal seeks to advance knowledge about the effective and efficient utilization of information technology by individuals, groups, organizations, society, and nations for the improvement of economic and social welfare. [http://apjis.or.kr/] [GUEST EDITORS] Sung-Byung Yang, Kyung Hee University, South Korea, sbyang(a)khu.ac.kr Kyung Young Lee, Dalhousie University, Canada, ky354506(a)dal.ca Sunghun Chung, The University of Queensland, Australia, s.chung(a)business.uq.edu.au [THEME] Internet of Things (IoT), which refers to "the networked interconnection of everyday objects, which are often equipped with ubiquitous intelligence", is now being implemented to many consumer products or services and applied to many different industries. Things that are previously not much to do with the Internet connectivity are now connected to the Internet and provide 'smart services' to consumers of many industries. This special issue on 'Smart Services and Internet of Things' focuses on the topics related to the applications of IoT to consumer products and services, which have become 'smarter' thanks to IoT. There are many applications of IoT that enable smart services. For example, with wearable technologies, wristwatches have become smarter (i.e., smartwatches) and have enhanced consumers' lives in various ways (e.g., fitness tracking, health monitoring, scheduling, communications support, etc.). Smart speakers (e.g., Google Home and Amazon Echo) have improved consumers' experience in searching information, managing time, online shopping, etc. Smart home technologies have helped us save energy consumption and have provided more comfort in everyday lives. There are many other applications of IoT and smart services applied in diverse industries, such as healthcare, agribusiness (e.g., IoT connected smart farms, vineyards, and fish-farms), tourism, and transportation, to name a few. Moreover, even many municipal and federal governments are adopting IoT to improve their citizens' lives better and smarter (e.g., the city of Chicago). Smart services and IoT, however, present both opportunities and threats related to IT security. As more things (e.g., devices, sensors, homes, etc.) are connected to the Internet, more aspects of our lives become embedded in smart services enabled by IoT. Therefore, IT security issues with IoT and smart services would become much more important than those in conventional IT systems, since the security breaches to IoT and smart services might do serious harms to our lives. [TOPICS] The following questions in general could be asked and explored in this special issue. What are the impact of IoT and smart services on individuals, groups, firms, industries, or countries? What are the challenges and successes in implementing IoT on smart services in various industries? Why are some implementations of IoT and smart services more successful than others? How do people/firms adopt IoT and smart services? What are the challenges and issues related to adopting IoT and smart services? What are the key security issues for IoT and smart services? All conceptual, analytical, technical, and empirical papers are welcome as long as they develop or extend theory and provide implications to practice. We encourage all research methodologies, including simulations, text-mining, sentiment analysis, field experiments/observations, case studies, surveys, etc. Topics of interest include but are not limited to the following: - Adoption and diffusion of IoT and smart services - Applications and business models of IoT and smart services - Business intelligence in IoT and smart services - Business models and processes of IoT and smart services - Case studies of IoT and smart services - Challenges and successes in implementing IoT on smart services - Concepts and theories of IoT and smart services - Deviant consumer behaviors in smart services - Impact of IoT and smart services on individuals, groups, firms, industries, or countries - IoT and smart cities - IoT and smart factories/smart farms - IoT and smart home - IoT and smart products - IoT and smart services in tourism, healthcare, game, and other industries - Policy, governance, and sustainability issues of IoT and smart services - Privacy and security issues for IoT and smart services - Research methods in IoT and smart services - Technologies for design IoT and smart services [SUBMISSION GUIDELINES] - All papers should be submitted to the submission system (http://www.e-apjis.or.kr/journal.do?method=journalintro&journalSeq=J000067) . - Submissions should follow standard formatting and style guidelines for the Asia Pacific Journal of Information Systems (http://apjis.or.kr/common/sub/editorialpolicy03.asp?hoho=1). - The author(s) should indicate that the submission is for the special issue (Smart Services and IoT) on the first page of the manuscript. [TIME PLAN] - Submission Due: March 15, 2019 (Extended, and no further extension) - 1st Round Review Decision: May 15, 2019 - Revised Submission Due: July 15, 2019 - 2nd Round Final Review Decision: August 31, 2019 - Publication: September 30, 2019 ******************************************************* Sung-Byung Yang Ph.D. of Management Engineering (e-Biz & MIS) Associate Professor School of Management Kyung Hee University 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Korea E-mail: <mailto:sbyang@khu.ac.kr> sbyang(a)khu.ac.kr Tel: +82-2-961-9548 Fax: +82-2-961-0515 ******************************************************* _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] AMCIS 2019 SIGGREEN Mini-track#4 CFP: Data Analytics for Designing and Managing Sustainable Practices
by Gustaf Neumann 27 Jan '19

27 Jan '19

-------- Forwarded Message -------- Subject: [AISWorld] AMCIS 2019 SIGGREEN Mini-track#4 CFP: Data Analytics for Designing and Managing Sustainable Practices Date: Sat, 26 Jan 2019 13:47:21 -0800 From: Babita Gupta <bgupta(a)csumb.edu> To: aisworld(a)lists.aisnet.org CC: Dr. G. P. Sahu <gsahu(a)mnnit.ac.in>, Babita Gupta <bgupta(a)csumb.edu> 25th Americas Conference on Information Systems (AMCIS) August 15-17, 2019 Cancun, Quintana Roo, MX Track: Green IS and Sustainability (SIGGreen) (https://amcis2019.aisconferences.org/submissions/track-descriptions/) Mini-track #4: Data Analytics for Designing and Managing Sustainable Practices Green IS utilizing data analytics tools combined with the use of technologies such as biometrics, RFID, IoT, and AI offer organizations endeavoring for environmental sustainability to create new knowledge and insights. These insights can help organizations better connect and configure the disparate system of human activities into an integrated and interlocking whole. Use of big data and location analytics can help align the three dimensions of green IS - technology, people, and institutions. For example, location analytics can contribute to the design and functioning of sustainable smart cities and have the potential to enable sustainable ecological, economic and social practices. IS researchers are therefore presented with opportunities to investigate the impact of big data, location analytics, biometrics, and similar technologies in enhancing sustainable practices. This mini-track invites research papers to understand the theoretical framework and enabling technologies that inform the integration of infrastructures and urban services, social structures, and governance. Suggested Topics: · Models and metrics using IS technologies in improving energy efficiencies in organizations · Big Data/Analytics in Green IS management · Use of analytics to promote sustainability and competitiveness · Role of online social networks in promoting environmental sustainability · Monitoring and recording the environmental impact of business processes utilizing emerging technologies such as IoT · Studies in use of location analytics in sustainability efforts in organizations/industries · Exploring models for systems integration, entrenched organization culture, employee & consumer behavior, costs, and scalability in Green IS context · Role of AI in Green IS · Information systems for raising environmental awareness · Privacy and security issues in the environmental sustainability context **Submissions due by 01-March-2019, 10:00 AM PST (13:00 EST) **Submission Instructions: https://amcis2019.aisconferences.org/submissions/call-for-papers/ Looking forward to your submissions. Mini-Track Chairs: Babita Gupta, California State University Monterey Bay, bgupta(a)csumb.edu Ganesh P. Sahu, Motilal Nehru National Institute of Technology Allahabad, gsahu(a)mnnit.ac.in ------------------------------------------------------------------------------ Babita Gupta, Ph.D. Professor of Information Systems Director of AACSB Accreditation College of Business California State University Monterey Bay Room 326, Gambord BIT Building, Seaside, CA 93955 Phone: 831-582-4186 ------------------------------------------------------------------------------- Board Member: Teradata University Network <http://www.teradatauniversitynetwork.com/> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] Call for Papers: Special Issue on "Recommendation Systems (RS) in Electronic Markets"
by Gustaf Neumann 26 Jan '19

26 Jan '19

-------- Forwarded Message -------- Subject: [WI] Call for Papers: Special Issue on "Recommendation Systems (RS) in Electronic Markets" Date: Fri, 25 Jan 2019 17:07:20 +0100 From: Electronic Markets <editors(a)electronicmarkets.org> Reply-To: Electronic Markets <editors(a)electronicmarkets.org> To: wi(a)aifb.uni-karlsruhe.de *Electronic Markets – The International Journal on Networked Business* ** *Call for Papers: Special Issue on “Recommendation Systems (RS) in Electronic Markets”* ** *Guest Editors* * Ravi S. Sharma, University of Canterbury, New Zealand,rs.sharma(a)canterbury.ac.nz <mailto:rs.sharma@canterbury.ac.nz> * Eldon Li, California Polytechnic, San Luis, USA & Tongji University, Shanghai, China, eli(a)calpoly.edu <mailto:eli@calpoly.edu>__ * Aijaz A. Shaikh, University of Jyväskylä, Finland,aijaz.a.shaikh(a)jyu.fi <mailto:aijaz.a.shaikh@jyu.fi> *Theme* This special issue focuses on the use of recommendations or suggestions from the marketplace in order to capture value. The business value of a recommendation or suggestion is that it helps e-businesses (including e-commerce) and social media platforms to uncover associations that are amongst large amounts of transactions data, for the purpose of providing personalized shopping suggestions and recommendations to consumers. A Recommendation Systems (RS), therefore, would be a significant opportunity for monetization providing a competitive advantage to firms in the electronic marketplace by helping with up- and cross-sales (Heimbach et al., 2015), reducing consumers’ costs for searches (Köhler et al., 2016) and other innovative forms of bundling digital products. Development of state-of-the-art RS — defined as software agents that are widely utilized in online platforms to elicit users’ preferences and interests to generate product or service recommendations (Heimbach et al., 2015) — is becoming popular in the e-commerce industry for retrieving and recommending the most relevant information regarding items, services, and products for users (Khan et al., 2018). It is an intuitive step to overcome the information overload problem in electronic markets. Recently, Hsu et al (2018) reported after an extensive survey of the RS literature, a mapping of RS techniques with application domains with the potential of significant impact. However, the report did not provide specific frameworks, models, measures or use-cases for success. For example, Business Insider reported in 2017 that over 80% of the Netflix business was generated from its RS and the remaining less than 20% was generated from searches. Netflix believes that it would lose US$1 billion or more, yearly, if not for personalized recommendation engine that maintains its subscribers. Google recently introduced an improved design and RS to the Home screen of its YouTube application, in order to entice viewers to continue to watch the videos, and to “…create the feeling that YouTube understands you.” Apple’s Watch List will recommend content and present accompanying marketing messages across their Apple TV devices, through a “…universal search and suggestion mechanism…” that delivers the content as quickly as possible. MightyTV is a meta-RS which allows consumers to swipe through a list of movies or shows across service-providers such as Netflix, Hulu, or HBO, and consequently suggests new shows that they should watch, based on profiles. In a value-added feature, known as “mash-up,” consumers can connect with friends for the RS algorithm to model what their tastes have in common, from shows to specific actors. However, while high-quality, personalized recommendations can benefit users, online businesses may violate laws if they collect too much user data or if they globalize its use. It is therefore timely to consider state-of-the-art strategies, approaches, and case studies of RS that may be adopted in global electronic markets. *Central issues and themes* Possible topics of submissions for this special issue focus on the past and future evolution of electronic markets as well as of networked business. Topics may include but are not restricted to: *Frameworks and models for effective RS in the global, networked economy *Mapping state-of-the-art RS techniques to characteristics of electronic markets *The applications of RS in social-commerce, m-commerce, e-government, e-tourism, e-learning, and crowd-sourcing *Global consumer and business perspectives on RS *RS architecture for business value creation and capture *Trends and directions of RS platforms, services, and applications *Approaches to monetizing of effective RS *Legal and ethical issues in aggregate user data protection (e.g., a differential privacy model, post General Data Protection Regulations) *Benchmarking RS effectiveness with social media and networks *Predictive and prescriptive analytics for RS *Innovative use-cases of RS in next-generation electronic markets (i.e., beyond mobile, social commerce) *Business outcomes of RS in industry clusters We encourage contributions with a broad range of methodological approaches, including conceptual, qualitative and quantitative research. Please also consider that position papers and case studies might be especially suited for this special issue. All papers should fit the scope of Electronic Markets (for more information see http://www.electronicmarkets.org/about-em/scope/) and will undergo a double-blind peer review process. If you would like to discuss any aspect of the special issue, please contact the guest editors. *Submission* Electronic Markets is a SSCI-listed journal (IF 3.818) and requires that all papers must be original and not published or under review elsewhere. Papers must be submitted via our the journal’s electronic submission system at http://elma.edmgr.com and conform to Electronic Markets publication standards (see instructions and templates at http://www.electronicmarkets.org/authors). Please note that the preferred length for research articles is around 8,000 words, excluding references. *Important deadline* * Submission Deadline: June 1, 2019 *References* Hsu, P. Y., Lei, H. T., Huang, S. H., Liao, T. H., Lo, Y. C., & Lo, C. C. (2018). Effects of sentiment on recommendations in social network. Electronic Markets, 28(1), 1-10. [online] Heimbach, I., Gottschlich, J., & Hinz, O. (2015). The value of user’s Facebook profile data for product recommendation generation. Electronic Markets, 25(2), 125-138. J. Lu, D. Wu, M. Mao, W. Wang, & G. Zhang (2015). Recommender system application developments: a survey, Decision Support Systems, 74, 12–32. Khan, Z. A., Chaudhary, N. I., & Zubair, S. (2018). Fractional stochastic gradient descent for recommender systems. Electronic Markets, (28) 1-11. [online] Köhler, S., Wöhner, T., & Peters, R. (2016). The impact of consumer preferences on the accuracy of collaborative filtering recommender systems. Electronic Markets, 26(4), 369-379. ** Rainer Alt and Hans-Dieter Zimmermann Editors-in-Chief Electronic Markets - The International Journal on Networked Business c/o Information Systems Institute Leipzig University Grimmaische Str. 12, 04109 Leipzig, Germany http://www.electronicmarkets.org/ https://twitter.com/journal_EM https://www.facebook.com/ElectronicMarkets Journal Impact Factor: 3.818 -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [wkwi] Call for Papers: Special Issue on "Recommendation Systems (RS) in Electronic Markets"
by Gustaf Neumann 26 Jan '19

26 Jan '19

-------- Forwarded Message -------- Subject: [wkwi] Call for Papers: Special Issue on "Recommendation Systems (RS) in Electronic Markets" Date: Fri, 25 Jan 2019 17:12:10 +0100 From: Electronic Markets <editors(a)electronicmarkets.org> Reply-To: Electronic Markets <editors(a)electronicmarkets.org> To: wkwi(a)listserv.dfn.de *Electronic Markets – The International Journal on Networked Business* ** *Call for Papers: Special Issue on “Recommendation Systems (RS) in Electronic Markets”* ** *Guest Editors* * Ravi S. Sharma, University of Canterbury, New Zealand,rs.sharma(a)canterbury.ac.nz <mailto:rs.sharma@canterbury.ac.nz> * Eldon Li, California Polytechnic, San Luis, USA & Tongji University, Shanghai, China, eli(a)calpoly.edu <mailto:eli@calpoly.edu>__ * Aijaz A. Shaikh, University of Jyväskylä, Finland,aijaz.a.shaikh(a)jyu.fi <mailto:aijaz.a.shaikh@jyu.fi> *Theme* This special issue focuses on the use of recommendations or suggestions from the marketplace in order to capture value. The business value of a recommendation or suggestion is that it helps e-businesses (including e-commerce) and social media platforms to uncover associations that are amongst large amounts of transactions data, for the purpose of providing personalized shopping suggestions and recommendations to consumers. A Recommendation Systems (RS), therefore, would be a significant opportunity for monetization providing a competitive advantage to firms in the electronic marketplace by helping with up- and cross-sales (Heimbach et al., 2015), reducing consumers’ costs for searches (Köhler et al., 2016) and other innovative forms of bundling digital products. Development of state-of-the-art RS — defined as software agents that are widely utilized in online platforms to elicit users’ preferences and interests to generate product or service recommendations (Heimbach et al., 2015) — is becoming popular in the e-commerce industry for retrieving and recommending the most relevant information regarding items, services, and products for users (Khan et al., 2018). It is an intuitive step to overcome the information overload problem in electronic markets. Recently, Hsu et al (2018) reported after an extensive survey of the RS literature, a mapping of RS techniques with application domains with the potential of significant impact. However, the report did not provide specific frameworks, models, measures or use-cases for success. For example, Business Insider reported in 2017 that over 80% of the Netflix business was generated from its RS and the remaining less than 20% was generated from searches. Netflix believes that it would lose US$1 billion or more, yearly, if not for personalized recommendation engine that maintains its subscribers. Google recently introduced an improved design and RS to the Home screen of its YouTube application, in order to entice viewers to continue to watch the videos, and to “…create the feeling that YouTube understands you.” Apple’s Watch List will recommend content and present accompanying marketing messages across their Apple TV devices, through a “…universal search and suggestion mechanism…” that delivers the content as quickly as possible. MightyTV is a meta-RS which allows consumers to swipe through a list of movies or shows across service-providers such as Netflix, Hulu, or HBO, and consequently suggests new shows that they should watch, based on profiles. In a value-added feature, known as “mash-up,” consumers can connect with friends for the RS algorithm to model what their tastes have in common, from shows to specific actors. However, while high-quality, personalized recommendations can benefit users, online businesses may violate laws if they collect too much user data or if they globalize its use. It is therefore timely to consider state-of-the-art strategies, approaches, and case studies of RS that may be adopted in global electronic markets. *Central issues and themes* Possible topics of submissions for this special issue focus on the past and future evolution of electronic markets as well as of networked business. Topics may include but are not restricted to: *Frameworks and models for effective RS in the global, networked economy *Mapping state-of-the-art RS techniques to characteristics of electronic markets *The applications of RS in social-commerce, m-commerce, e-government, e-tourism, e-learning, and crowd-sourcing *Global consumer and business perspectives on RS *RS architecture for business value creation and capture *Trends and directions of RS platforms, services, and applications *Approaches to monetizing of effective RS *Legal and ethical issues in aggregate user data protection (e.g., a differential privacy model, post General Data Protection Regulations) *Benchmarking RS effectiveness with social media and networks *Predictive and prescriptive analytics for RS *Innovative use-cases of RS in next-generation electronic markets (i.e., beyond mobile, social commerce) *Business outcomes of RS in industry clusters We encourage contributions with a broad range of methodological approaches, including conceptual, qualitative and quantitative research. Please also consider that position papers and case studies might be especially suited for this special issue. All papers should fit the scope of Electronic Markets (for more information see http://www.electronicmarkets.org/about-em/scope/) and will undergo a double-blind peer review process. If you would like to discuss any aspect of the special issue, please contact the guest editors. *Submission* Electronic Markets is a SSCI-listed journal (IF 3.818) and requires that all papers must be original and not published or under review elsewhere. Papers must be submitted via our the journal’s electronic submission system at http://elma.edmgr.com and conform to Electronic Markets publication standards (see instructions and templates at http://www.electronicmarkets.org/authors). Please note that the preferred length for research articles is around 8,000 words, excluding references. *Important deadline* * Submission Deadline: June 1, 2019 *References* Hsu, P. Y., Lei, H. T., Huang, S. H., Liao, T. H., Lo, Y. C., & Lo, C. C. (2018). Effects of sentiment on recommendations in social network. Electronic Markets, 28(1), 1-10. [online] Heimbach, I., Gottschlich, J., & Hinz, O. (2015). The value of user’s Facebook profile data for product recommendation generation. Electronic Markets, 25(2), 125-138. J. Lu, D. Wu, M. Mao, W. Wang, & G. Zhang (2015). Recommender system application developments: a survey, Decision Support Systems, 74, 12–32. Khan, Z. A., Chaudhary, N. I., & Zubair, S. (2018). Fractional stochastic gradient descent for recommender systems. Electronic Markets, (28) 1-11. [online] Köhler, S., Wöhner, T., & Peters, R. (2016). The impact of consumer preferences on the accuracy of collaborative filtering recommender systems. Electronic Markets, 26(4), 369-379. ** Rainer Alt and Hans-Dieter Zimmermann Editors-in-Chief Electronic Markets - The International Journal on Networked Business c/o Information Systems Institute Leipzig University Grimmaische Str. 12, 04109 Leipzig, Germany http://www.electronicmarkets.org/ https://twitter.com/journal_EM https://www.facebook.com/ElectronicMarkets Journal Impact Factor: 3.818

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Fwd: [AISWorld] AMCIS 2019: Renewed Focus on Strategic IT Service Management (ITSM) Deliverables
by Gustaf Neumann 26 Jan '19

26 Jan '19

-------- Forwarded Message -------- Subject: [AISWorld] AMCIS 2019: Renewed Focus on Strategic IT Service Management (ITSM) Deliverables Date: Fri, 25 Jan 2019 19:51:41 +0330 From: Ahmad Alibabaee <babaei(a)gmail.com> To: aisworld(a)lists.aisnet.org CC: Peyman Badakhshan <peyman.badakhshan(a)uni.li>, Reza Vaezi <svaezi(a)kennesaw.edu> Call for Papers: 25th AMCIS August 15 - 17, 2019, Cancun, Mexico Track: Strategies and Competitive Uses of Information Technology Minitrack: Renewed Focus on Strategic IT Service Management (ITSM) Deliverables ITSM is a customer-focused approach to delivering IT in the contemporary corporation. ITSM can strengthen customer relationships, enhance customer understanding of the services provided, and consistently deliver customer value. Although ITSM is not new (its roots go back the Information Technology Infrastructure Library [ITIL] in the 1980s), it is regaining importance as CIOs struggle to increase the relevance of IT to both its internal and external customers. ITSM-oriented leaders generally employ a framework that defines the relationships of IT technical resources to the services demanded by their users as well as defines the actual business services that they provide. Rigorously employed service terminology (ITIL, Version 3) clarifies the service to both the customer and the service provider, delineating service offerings, service features, providers, limitations, exclusions, eligibility, duration, cost, and service levels. This mini-track also focuses on theoretical approaches to providing strategic IT services, alignment of IT service deliverables with the corporate strategic plan, and best practices. Important Dates: January 7, 2019: Manuscript submissions open March 1, 2019: 10 am PST Deadline for paper submissions April 15, 2019: Author notification of decisions April 24, 2019: Camera-ready submissions due Submission Instructions: <https://amcis2019.aisconferences.org/submissions/types-of-submissions/> https://amcis2019.aisconferences.org/submissions/types-of-submissions/ Minitrack co-chairs: Ahmad Alibabaei, Shahid Beheshti University of Medical Sciences, A.Alibabaei(a)sbmu.ac.ir\ Reza Vaezi, Kennesaw State University, svaezi(a)kennesaw.edu Peyman Badakhshan, University of Liechtenstein, peyman.badakhshan(a)uni.li -- Ahmad Alibabaei Ph.D, Industrial Engineering-Information Technology Assistant Professor, Shahid Beheshti University of Medical Sciences, Email: A.Alibabaei(a)Sbmu.ac.ir Mobile: +98 912 3172746 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] AMCIS 2019: Healthcare Enterprise Systems: the adoption of Integrated Information Systems in healthcare industry
by Gustaf Neumann 26 Jan '19

26 Jan '19

-------- Forwarded Message -------- Subject: [AISWorld] AMCIS 2019: Healthcare Enterprise Systems: the adoption of Integrated Information Systems in healthcare industry Date: Fri, 25 Jan 2019 19:52:38 +0330 From: Ahmad Alibabaee <babaei(a)gmail.com> To: aisworld(a)lists.aisnet.org CC: Sadaf Ashtari <sadaf.ashtari(a)csus.edu> Call for Papers: 25th AMCIS August 15 - 17, 2019, Cancun, Mexico Track: Enterprise System Minitrack: Healthcare Enterprise Systems: the adoption of Integrated Information Systems in healthcare industry Integrated Enterprise systems is one of the vital items for digitalization that is in progress in all industries and healthcare industry is not an exception. Using suitable enterprise systems provides an opportunity to improve competitive advantages by increasing efficiency and effectiveness and quality improvement in healthcare industry. Enterprise systems include different clinical and administrative workflows and applications that should be successfully integrated and implemented to support processes and facilitate operations, administration and decision making in hospitals. Applications such as CDSS or healthcare information systems (HIS) and etc. provide necessary data and information for decision making or operations. However, the lack of integration between different information systems cannot be ignored, there are information systems such as LIS (laboratory Information systems), EHR and etc. that can be a part of healthcare information systems but evidences shows in some cases these systems do not work properly or work separately in hospitals. On the other hand, by emerging new advanced technologies in healthcare, such as expert systems, critical medical devices, intelligent information systems, digital communication tools and neural networks, it is necessary that healthcare enterprise systems consider them and use them integrated with operation modules to improve staff productivity, healthcare operations, process quality, patient safety, and the overall patient experience. This mini track looking for research in following areas: - Different modules and their applications in Healthcare enterprise systems - Implementation procedure and challenges of Healthcare enterprise systems in hospitals - Utilizing new technologies in Healthcare enterprise systems - Integration of different modules in Healthcare Enterprise Systems - Healthcare enterprise systems effects on efficiency and effectiveness of healthcare operations, reducing costs and increasing patients’ satisfaction. Important Dates: January 7, 2019: Manuscript submissions open March 1, 2019: 10 am PST Deadline for paper submissions April 15, 2019: Author notification of decisions April 24, 2019: Camera-ready submissions due Submission Instructions: <https://amcis2019.aisconferences.org/submissions/types-of-submissions/> https://amcis2019.aisconferences.org/submissions/types-of-submissions/ Minitrack co-chairs: Ahmad Alibabaei, Shahid Beheshti University of Medical Sciences, A.Alibabaei(a)sbmu.ac.ir\ Sadaf Ashtari, California State University, Sacramento, sadaf.ashtari(a)csus.edu -- Ahmad Alibabaei Ph.D, Industrial Engineering-Information Technology Assistant Professor, Shahid Beheshti University of Medical Sciences, Email: A.Alibabaei(a)Sbmu.ac.ir Mobile: +98 912 3172746 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Papers - FORENSECURE 2019
by Gustaf Neumann 26 Jan '19

26 Jan '19

-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers - FORENSECURE 2019 Date: Fri, 25 Jan 2019 17:16:52 -0600 From: Maurice Dawson <maurice.e.dawson(a)gmail.com> To: aisworld(a)lists.aisnet.org, irma-l(a)irma-international.org ForenSecure: Cybersecurity & Forensics Conference & Expo April 11-12, 2019 Chicago (Wheaton Suburb) - United States of America Submission link: https://easychair.org/conferences/?conf=forensecure2019 Download the template for papers: https://drive.google.com/file/d/1gdSx3FVSMQHizFEfKeKGWOyOTOAr4wEw/view?usp=… Abstract registration deadline: March 22, 2019 Submission deadline: March 22, 2019 ABOUT THE CONFERENCE We invite your participation as a sponsor/exhibitor, speaker, or attendee of ForenSecure’19: IT Forensics and Security Conference and Expo at Illinois Institute of Technology. This is an industry-focused technical conference (not an academic conference) with multiple tracks. It attracts 200+ professionals for an intensive one- and a half-day schedule that includes discussion and debate over forensics, security, data/information governance, cyber crime and security, cyber security legislation and legal issues, ethical hacking, eDiscovery, cloud forensics, steganography, policy and compliance, privacy, wireless security, cloud computing, identity theft, and more. PAST PARTICIPANTS A dynamic and growing number of organizations have contributed to the success of this conference, including: AccessData, Argonne National Laboratory, Authentify, Cisco, The Chicago Police Department, CompTIA, Computer Associates, the FBI, Fermilab, Fortinet, Guidance Software, IBM, IEEE, KPMG, Microsoft, Motorola, Sungard, UniForum, X-Ways Forensics and many others. Speakers and participants continue to represent local, regional, national, and international organizations and universities. Submissions should be posted electronically in MS Word or PDF at EasyChair.org no later than March 22, 2019. The areas of interest include (but are not limited to): • Accounting Information Systems • Adoption and Diffusion of IS/T • Big Data Analytics • Business Intelligence • Business Process Management • Bring Your Own Device (BYOD) and its Implications • Cloud Computing and Services • Computing and Ethics • Cyber Security • Database Management Technologies • Decision Support Technologies • Design Science • Distance Learning Technologies • e-Collaboration in Organizations • Economic Value of IS/T • Electronic Business Technologies and Management • Energy Informatics • Enterprise Resource Planning • Global IT Management • Green Computing and Sustainability • Health Care Informatics • Human Computer Interaction • Information Security Management • Information Warfare • IT and Small Businesses • IT Business Value • Information Systems and Sustainability (Green IS) • IS and Grand Societal Challenges (Inequality, Climate Change, Cyber Security, etc.) • Information Technology Education • Information Technology Standards • Intelligent Information Systems • IT Evaluation Methods and Management • IT Management in Healthcare • IT Teaching Cases • Knowledge Management • Medical Information Technology • Mobile Computing & Commerce • Multimedia Information Management • Object Oriented Technology • Online and Blended Teaching and Learning • Open Source Technologies and Systems • Project Management • Software Engineering • Software Process Improvement • Strategic IT Management • Telecommunications and Networking Technologies • Virtualization Technologies and Management • Virtual Organizations and Society FULL LENGTH SUBMISSIONS You may submit a full length (not to exceed six single-spaced pages with approximately 2,500 words, including all figures, tables, appendices, and references), original, and previously unpublished manuscript. The research may be conceptual, empirical or applied. Accepted papers will be published in the conference proceedings in their entirety. RESEARCH-IN-PROGRESS You may submit research-in-progress proposals (abstracts) or a summary of tentative results of the study to date in a 1500-2000 paper with a maximum of 2 figures/tables. PANEL, WORKSHOP, AND TUTORIAL SUBMISSIONS Individuals interested in conducting a panel, workshop, or tutorial dealing with technological, managerial, professional, teaching, societal, national or international issues of information technology management are invited to submit a 500-1000 word proposal covering the objectives, issues to be covered, and the names/addresses of any other panel, workshop, or tutorial members. The method of presentation is at the submitter’s discretion. However, the submitter has the responsibility for providing his/her own participants (such as panel members). All accepted proposals will appear in the conference proceedings. (Note: All panel, workshop, and tutorial members must register for the conference.) Submission link: https://easychair.org/conferences/?conf=forensecure2019 FORENSECURE'19 IS AN ACTIVITY OF THE CENTER FOR CYBER SECURITY AND FORENSICS EDUCATION (IIT C²SAFE) Selected papers will be invited for expedited submission into the International Journal of Hyperconnectivity and the Internet of Things (IJHIoT) which is indexed in Google Scholar, ACM Digital Library, and Cabell's Directories. *Additional journals will be listed soon. * COMMITTEES: *General Chair* Maurice Dawson - Illinois Institute of Technology, US *Program Chairs* Matthias Gotlieb - Technical University of Munich, GE *Publication Chairs * Darrell Burrell - Florida Institute of Technology, US Scott Pfeiffer - Illinois Institute of Technology, US *Maurice Dawson Jr., **D.Sc., Ph.D., SMIEEE * Director of IIT Center for Cyber Security and Forensics Education (C2SAFE) Assistant Professor of Information Technology and Management Fulbright Scholar 2017-2018, 2014, Senior IEEE Member *Illinois Institute of Technology | School of Applied Technology* ORCID: 0000-0003-4609-3444 <http://orcid.org/0000-0003-4609-3444> ResearcherID: I-4843-2016 <http://www.researcherid.com/ProfileView.action?returnCode=ROUTER.Unauthoriz…> Scopus Author ID: 55812601600 <https://www.scopus.com/authid/detail.uri?authorId=55812601600> Editor-in-Chief of the International Journal of Hyperconnectivity and the Internet of Things <https://www.igi-global.com/journal/international-journal-hyperconnectivity-…> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [computational.science] The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019)
by Gustaf Neumann 26 Jan '19

26 Jan '19

-------- Forwarded Message -------- Subject: [computational.science] The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019) Date: Sat, 26 Jan 2019 15:25:39 +0100 From: Massimo CAFARO <massimo.cafaro(a)unisalento.it> To: DMANET ML <dmanet(a)zpr.uni-koeln.de>, COMPUTATIONAL SCIENCE ML <computational.science(a)lists.iccsa.org>, CSE ML <cse-cfp(a)cse.stfx.ca>, HPC Announce ML <hpc-announce(a)mcs.anl.gov>, CONCURRENCY ML <concurrency(a)cwi.nl>, tcbd(a)comsoc.org <tcbd(a)COMSOC.ORG>, SIAM ML <siam-sc(a)siam.org>, INFORMATICS EUROPE ML <announce(a)informatics-europe.org>, DBWORLD ML <dbworld(a)cs.wisc.edu>, TCSC ML <tcsc(a)cse.stfx.ca> WPDM 2019 The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019) http://sara.unisalento.it/~cafaro/WPDM2019/ CALL FOR PAPERS The Third Workshop on Parallel and Distributed Data Mining (WPDM 2019) will be held in conjunction with The 19th International Conference on Computational Science and Its Applications (ICCSA 2019), http://www.iccsa.org Saint Petersburg University, Saint Petersburg, Russia July 1-4 2019 Final submission Deadline: February 17, 2019 SCOPE AND OBJECTIVES The Workshop on Parallel and Distributed Data Mining is an international forum which brings together researchers and practitioners working on different high-performance aspects of data mining algorithms, enabling novel applications. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. Therefore, there is an increasing interest in the design and implementation of parallel data mining algorithms. On parallel computers, by exploiting the vast aggregate main memory and processing power of processors and accelerators, parallel algorithms can easily address both the running time and memory requirement issues. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of data mining algorithms and applications. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance data mining algorithms an d applications, and related topics. The WPDM Workshop topics include (but are not limited to) the following: - Parallel data mining algorithms using MPI and/or OpenMP - Parallel data mining algorithms targeting GPUs and many-cores accelerators - Parallel data mining applications exploiting FPGA - Distributed data mining algorithms - Benchmarking and performance studies of high-performance data mining applications - Novel programming paradigms to support high-performance computing for data mining - Performance models for high-performance data mining applications and middleware - Programming models, tools, and environments for high-performance computing in data mining - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above topics. Submitted papers must not have been published or simultaneously submitted elsewhere. The submitted paper must be between 10 to 16 pages long and formatted according to the Springer LNCS (Lecture Notes in Computer Science) rules, Guidelines and templates can be found at the url http://www.springer.com/it/computer-science/lncs/conference-proceedings-gui… To submit a paper, please connect to the Submission site from the link available at the ICCSA 2019 web site: http://ess.iccsa.org. Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. Please pay attention, when submitting your contribution to the workshop, to select the right entry in the listbox shown in the submission form. CONFERENCE POLICY By submitting the paper to ICCSA conference, all authors agree to abide by all ICCSA conference paper submission, publication and presentation policies. Namely, authors confirm that the work is original, has not appeared in literature in any form in the past and will not be submitted to any other venue concurrently with ICCSA submission or until it appears in ICCSA proceedings (in the case of acceptance). Furthermore, upon paper acceptance, authors agree to transfer copyright on the accepted paper to ICCSA, and one of the authors will register the paper and present the paper at the event. No paper withdrawals can be accepted after Conference pre-registration date or within three months of the actual event, whichever date comes first. Paper withdrawal request can be only accepted in writing through email, letter or fax to conference organizers. The conference has no responsibility for any intentional or accidental misuse, misinterpretation, or failure to follow above rules and conditions and holds no legal, civil or other responsibility for opinions, content or utilization of any methods/algorithms expressed in the Conference Proceedings. If you have any questions about paper submission or the workshop, please contact the workshop organisers. IMPORTANT DATES February 17, 2019: Deadline for paper submission March 31, 2019: Notification of Acceptance. May 8, 2019: Early-bird Registration ends. May 8, 2019: Submission deadline for the final version of the Papers July 1-4, 2019: ICCSA 2019 Conference WORKSHOP ORGANIZERS Massimo Cafaro University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: massimo.cafaro(a)unisalento.it Italo Epicoco University of Salento, Italy Phone: +39 0832 297235 Fax: +39 0832 297235 Email: italo.epicoco(a)unisalento.it Marco Pulimeno University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: marco.pulimeno(a)unisalento.it Giovanni Aloisio University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy Phone: +39 334 6501704 Fax: +39 0832 297235 Email: giovanni.aloisio(a)unisalento.it All submitted papers will be reviewed by the workshop technical program committee members. International Program Committee: Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA Giuseppe Di Fatta, University of Reading, UK Ann Gordon-Ross, University of Florida, USA Kenli Li, Hunan University, China Donato Malerba, University of Bari, Italy Barbara Masucci, University of Salerno, Italy Mitsunori Ogihara, University of Miami, USA Takahiko Shintani, The University of Electro-Communications , Japan Domenico Talia, University of Calabria, Italy Paolo Trunfio, University of Calabria, Italy Jeffrey D. Ullman, Stanford University, USA Laurence T. Yang, St Francis Xavier University, Canada - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************ _______________________________________________ computational.science mailing list computational.science(a)lists.iccsa.org https://lists.iccsa.org/mailman/listinfo/computational.science Hosted by Sardina Systems: FishOS: AI-powered OpenStack www.sardinasystems.com

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Fwd: [computational.science] Special Issue "The Second International Workshop on Parallel and Distributed Data Mining"
by Gustaf Neumann 26 Jan '19

26 Jan '19

-------- Forwarded Message -------- Subject: [computational.science] Special Issue "The Second International Workshop on Parallel and Distributed Data Mining" Date: Sat, 26 Jan 2019 15:27:14 +0100 From: Massimo CAFARO <massimo.cafaro(a)unisalento.it> To: DMANET ML <dmanet(a)zpr.uni-koeln.de>, COMPUTATIONAL SCIENCE ML <computational.science(a)lists.iccsa.org>, CSE ML <cse-cfp(a)cse.stfx.ca>, HPC Announce ML <hpc-announce(a)mcs.anl.gov>, CONCURRENCY ML <concurrency(a)cwi.nl>, tcbd(a)comsoc.org <tcbd(a)COMSOC.ORG>, SIAM ML <siam-sc(a)siam.org>, INFORMATICS EUROPE ML <announce(a)informatics-europe.org>, DBWORLD ML <dbworld(a)cs.wisc.edu>, TCSC ML <tcsc(a)cse.stfx.ca> Special Issue "The Second International Workshop on Parallel and Distributed Data Mining" A special issue of Algorithms (ISSN 1999-4893). Deadline for manuscript submissions: extended to January 30, 2019 http://www.mdpi.com/journal/algorithms/special_issues/Parallel_Distributed_… Special Issue Information Dear Colleagues, This Special Issue is devoted to the increasing interest in the design and implementation of parallel and distributed data mining algorithms. The Workshop on Parallel and Distributed Data Mining (WPDM 2018) is an international forum that brings together researchers and practitioners, working on different high-performance aspects of data mining algorithms, enabling novel applications. Indeed, datasets grow so rapidly that, every day, exabytes of data are being generated, and, in order to extract and infer useful knowledge, parallel processing techniques are required to cope with this huge volume of data: Traditional sequential software is not viable to cope with them. When the data are generated in different places (such as wireless sensor networks and/or Internet of things devices), they may be geographically spread out, and the data cannot be sent to a centralized site, thus, the need for distributed processing algorithms arises. Topics relevant to this Special Issue cover the scope of the WPDM 2018 Workshop (http://sara.unisalento.it/~cafaro/WPDM2018/): - Parallel data mining algorithms using MPI and/or OpenMP - Parallel data mining algorithms targeting GPUs and many-cores accelerators - Parallel data mining applications exploiting FPGA - Distributed data mining algorithms - Benchmarking and performance studies of high-performance data mining applications - Novel programming paradigms to support high-performance computing for data mining - Performance models for high-performance data mining applications and middleware - Programming models, tools, and environments for high-performance computing in data mining - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Extended versions of papers presented at WPDM 2018 are sought, but this call for papers is fully open to all those who wish to contribute by submitting a relevant research manuscript. Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 850 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. Special Issue Editors Guest Editor Assoc. Prof. Massimo Cafaro Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Euro-Mediterranean Centre on Climate Change, Foundation, Lecce, Italy Guest Editor Dr. Italo Epicoco Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Euro-Mediterranean Centre on Climate Change, Foundation, Lecce, Italy Guest Editor Dr. Marco Pulimeno Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Guest Editor Prof. Giovanni Aloisio Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Euro-Mediterranean Centre on Climate Change, Foundation, Lecce, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************ _______________________________________________ computational.science mailing list computational.science(a)lists.iccsa.org https://lists.iccsa.org/mailman/listinfo/computational.science Hosted by Sardina Systems: FishOS: AI-powered OpenStack www.sardinasystems.com

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