Cutter Business Technology Journal — Calls for Papers
For nearly 30 years, the monthly Cutter Business Technology Journal has served as a forum for thought leaders in academia and industry to present innovative ideas and solutions to the critical issues facing business-technology professionals. Please consider sharing your insight with us for the following topics. For questions or to send article ideas, please contact Christine Generali at cgenerali[at]cutter[dot]com.
Call for Papers: Industry 4.0 — Opportunities, Impact, Challenges
Guest Editor: Dr. Keng Siau
Abstract Deadline: May 10, 2019 (extended to May 24)
Article Deadline: June 14, 2019
Industry 4.0, also known as the Fourth Industrial Revolution, refers to the revolution that is enabled by advanced technologies such as artificial intelligence, machine learning, big data, Internet of things, cyber-physical systems, robotics, and automation. Many predict that Industry 4.0 will be different from the first three industrial revolutions because of its disruptive and transformative impact on the economy, business, jobs, and society. Businesses and companies are incorporating advanced technologies related to Industry 4.0 into their strategies, planning, and operations. They are creating new business models through digitizing and automating their products and services. Embracing Industry 4.0 has become an important source of competitive advantage and is quickly becoming a competitive necessity.
An upcoming issue of Cutter Business Technology Journal will be Guest Edited by Professor Keng Siau, Chair of the Department of Business and Information Technology at the Missouri University of Science and Technology. Professor Siau’s research interest is in the future of business, work, and humanity. Professor Siau has published numerous articles on the impact of artificial intelligence, machine learning, and automation. He has been interviewed regularly on topics related to Industry 4.0.
This issue will examine the latest advancement in technologies related to Industry 4.0 and the impact of these technologies on work, business, and organizations. We are seeking articles, experience-based opinions, as well as research and industry insights from academics and practitioners that can help businesses and organizations capitalize on and address the challenges brought about by Industry 4.0.
Topics of interest include, but not limited to, the following:
- What are the latest developments in technologies impacting Industry 4.0 (e.g., AI, ML, robotics, automation, IoT, cybersecurity, cloud computing, big data and analytics, additive manufacturing, augmented reality, cyber-physical system)
- What new business/market opportunities will result from Industry 4.0?
- How will Industry 4.0 disrupt the current industrial climate?
- What disruptive and/or transformative impact will Industry 4.0 have on the economy, business, jobs, and society?
- What challenges will be faced and how should they be addressed?
- What types of new business models and strategies will be introduced?
- What change management practices will be necessary to acclimate to an Industry 4.0 model?
- What types of strategies will be required to recruit, develop, access and retain talent to support an Industry 4.0 effort?
- How will Industry 4.0 affect the future of work?
- How will Industry 4.0 impact the future of humanity?
- What new cybersecurity risks will be introduced with the increase in connected digital systems?
ARTICLE IDEAS DUE MAY 24. Please send article ideas to Keng Siau and Christine Generali (firstname.lastname@example.org and email@example.com) including an abstract and short article outline showing major discussion points. Accepted articles due June 14, 2019. Final article length is typically 2,000-3,500 words plus graphics. More editorial guidelines.
Call for Papers: Decision Support Systems, Artificial Intelligence, and Machine Learning
How are businesses leveraging DSS, AI, and ML technologies for smart and efficient decision-making?
Guest Editor: Dr. Karen Neville and Dr. Andrew Pope
Abstract Deadline: March 30, 2019
Article Deadline: May 3, 2019
The origins of the decision support systems can be traced back to the 1970s. These nascent systems offered the promise of enhanced managerial decision making through the use of models and the data processing capabilities of computers. In the intervening years, decision support systems have been applied in numerous settings. Whether it be the allocation of resources during an emergency, improving medical outcomes in a hospital setting, optimizing a company’s supply chain - the applications of such systems are vast. As technology has evolved, so too has the scope of decision support systems. Technological advances such as machine learning and artificial intelligence will have a major impact on both the decision makers of tomorrow and the systems that support them.
An upcoming issue of Cutter Business Technology Journal will be Guest Edited by Dr Karen Neville, a leading expert in DSS for the management of disasters and Dr Andrew Pope who has has over fifteen years’ experience working on industry-funded applied research projects. This issue will examine cutting edge tools and techniques that represent state of the art in the field of DSS, AI, and ML, opportunities, and applications of the technologies. It will also highlight the challenges organizations encounter in effective decision making.
- How are decision support tools and processes being used in multidisciplinary domains (common decision making; interoperability of resources and services)?
- What systems and methodologies are being employed?
- What are some emerging trends in DSS, AI, ML?
- What new applications of DSS, AI, and ML are gathering traction?
- What are some of the unique challenges of Emergency Management and the Public Health Services (designing, implementing, and evaluating decision support systems for emergency management; the role of public health services in emergency management; decision support tools for threat analysis and scenario evaluation; decision support tools for intelligence gathering and analysis)?
- How are AI and ML technologies enhancing the decision-making process for managers?
- What future trends and technologies will drive the next wave of decision support systems?
- What are the cutting edge of decision-making tools?
ARTICLE IDEAS DUE MARCH 30. SUBMISSION GUIDELINES. Please send article ideas to Karen Neville, Andrew Pope, and Christine Generali including an abstract and short article outline showing major discussion points. Accepted articles due May 3, 2019. Final article length is typically 2,000-3,500 words plus graphics. More editorial guidelines.
Call for Papers: The Cutting Edge of Agile
Guest Editor: Dr. Alistair Cockburn
Article Deadline: CLOSED
Agile was created in 2001 from experience with single-location, small-team, non-life-critical software systems. Since then, it has been applied to every kind of situation imaginable, widely exceeding those initial boundaries. What, then, is the current state of Agile? How has it morphed, where is it being applied, what are the new ideas?
An upcoming issue of Cutter Business Technology Journal, Guest Edited by Dr. Alistair Cockburn, one of the authors of the Agile Manifesto, will examine the leading edge of the agile world.
For this issue, we’re seeking insights and perspectives from practitioners, academics, consultants, visionaries and industry experts that address one or more of the following topic areas:
- Agile outside of tech
- Agile inside the organization
- Agile in product management
- Re-examinations of agile foundations
- Agile at scale
- Agile in life-critical systems
- Other topics not mentioned that show the cutting edge of agile.
ARTICLE IDEA SUBMISSION GUIDELINES. Please send an email to Alistair Cockburn and Christine Generali with your basic article idea. We wil send you Cutter's editorial guidelines, also listed below, and a reminder email as it gets closer to the March 1 article deadline.
1ST DRAFT ARTICLE DUE MARCH 1. Please do not write the full article in your best, edited prose (any advanced agile person understands why this is). Instead, write a draft - enough that the editors and evaluators can understand the point you are making, and write just well enough that they can see the style of your writing. If your article is selected, that will be the time to make it beautiful, with the help of the editors. Articles are typically 2,000-3,500 words in length. Please send your article to Alistair Cockburn and Christine Generali by March 1, 2019. More Editorial Guidelines are listed below.
These notes are intended to give authors some guidance and direction for articles submitted to Cutter Business Technology Journal (CBTJ) for publication.
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1DeMarco, Tom, and Timothy Lister. Waltzing with Bears: Managing Risk on Software Projects. Dorset House, 2003.
2In this survey, “innovation” refers to any new initiatives to introduce innovative, leading-edge, or unconventional software project development methods, processes, tools, or techniques.
3Hall, Curt. “AI & Machine Learning in the Enterprise, Part XI: Success of AI Application Development Efforts.” Cutter Consortium Data Analytics & Digital Technologies, Executive Update, Vol. 19, No. 3, 2019.
4DeMarco and Lister (see 1).
5“Smart grid.” Wikipedia.