[AISWorld] Publication of JITCAR 17.23-4 by Taylor & Francis and Invitation for Manuscript Submission

[Shailendra Palvia]

Invitations for Manuscripts Submission

and

Announcement of JITCAR 17.3-4

Dear Colleagues around the world:

About Journal of IT Case and Applications Research (JITCAR)


Mission: In this era of uncontrollable explosion of information technology (IT) and its applications, the gap between theory and practice, frameworks and applications keeps widening. This novel journal will focus on research based on in-depth study of real world cases and applications to explain existing theories and concepts or to help in building new theories and frameworks. This journal should be of great value to professors and students as well as researchers and practitioners of IT. It is a double blind refereed international quarterly journal that is supported by IT scholars from all over the world.  The journal is international in all respects: content, authors, readers, reviewers, and editors.


Scope and Coverage: JITCAR will publish case and application research articles focusing on any size of organization: start-up, small, medium, large, or multinational company. These cases and applications can originate from any country in the world: advanced, newly industrialized, developing, or under-developed. Furthermore, the primary thrust of a case or application may include artificial intelligence, business process reengineering, cross-cultural issues, cybernetics, decision support systems, electronic commerce, firewalls and Internet, groupware, human side of IT, information infrastructures, joint application development, knowledge based systems, local area networks, management information systems, neural networks, office automation, prototyping, query languages, robotics, systems analysis, telemedicine, ubiquitous computing, video-conferencing, webonomics, and so on.

Generally, there will be three research articles. Occasionally, there will be a Teaching Case article.  Research articles will be based on actual case studies and/or applications studies utilizing case study, field study, and/or field experiment research methodology (JITCA, Volume 1, Number 4, editorial preface).  Each teaching case submission to JITCAR will include three components: the case itself, a summary research note, and a detailed teaching note.  These three components will be reviewed as a package; the journal's decision to publish the case will be determined by the quality of the case itself and the accompanying research and teaching notes.

Review Process: Each suitable article is double blind-reviewed by three members of the editorial review board. A final recommendation is made by the Editor-in-Chief or anyone of the two senior associate editors in consultation with an Associate Editor. If a revision is recommended, the revised paper is sent for a final approval to the original Associate Editor.

Call for Manuscripts: The journal encourages manuscript submissions from authors all over the world, from academia, government, and industry. The journal will also include reviews of cutting edge IT books that have bearing on the journal's mission. Practitioner input will be regularly solicited from time-to-time through the industry editor(s) of JITCA.  To utilize cutting edge IT, authors are strongly encouraged to make their submissions electronically to the editor-in-chief or one of the two senior associate editors by attaching file(s) in appropriate format.

Style: Submitted manuscripts must be written in the APA (American Psychological Association) editorial style.  Footnotes are not allowed.  Endnotes should be kept to a minimum; instead the material should be incorporated in the body of the paper.  References should be listed in alphabetical order.  The suggested size of the manuscript is 20 pages (excluding references, tables, and figures).  The manuscript should be typed double-spaced.

PLEASE NOTE THAT A POSITON OF INDUSTRY EDITOR IS AVAILABLE.  PLEASE WRITE TO ME IF INTERESTED.



>From the Editor's Desk

I am delighted to present the combined third and fourth JITCAR issue of 2015.  The contents of this issue are:  Editorial Preface article by Dr. Andrew Urbaczewski and Mr. Philip Beaver; Research article by Dr. Konstantinos Koumaditis; Teaching Case article co-authored by Mr. Shiwei Sun, Dr. Casey G. Cegielski, and Mr. Zhigang Li; Expert Opinion report by Dr. Mahesh Raisinghani; and Book Review by Dr. Vijay Vemuri.  Summary information of these items is as follows.



Dr. Andrew Urbaczewski and Mr. Philip Beaver in their editorial preface article titled, "A Paradigm Shift in the Age of Internet and Search Engines" stress that Experiential Learning is an important way for students to grasp real world topics even in the university setting.  The Daniels College of Business has refined this process over many iterations of its MS in Business Analytics program.  The process is outlined in detail with examples of student successes and failures.  Also articulated is the manner in which the benefactors of the experiential education settings are using the lessons and outputs. Through the invention of the Internet and search engines, the mere ability to recall has lost its value as the majority of individuals carry a devices in their pockets that have greater storage and recall power than the Apollo Lunar Module.  Given this technology, individuals now demand and marketplace now expects more from a formal education than rote memorization tasks.  Employers demand students who have the ability to analyze and synthesize information in creative ways to develop novel solutions to business problems through the application of critical thinking.



The first research article is titled, "Governance of Service Oriented Architecture in a Healthcare Organization: A Case Study."  Integrated technologies employed by healthcare organizations, have not shown acceptable levels of adoption due to several barriers, like: (a) high costs, (b) resistance to change, (c) organizational structure issues, (d) high complexity, (e) large scale of change, (f) time consuming implementation, and (g) politics.  To overcome some of these barriers, healthcare organizations have adopted solutions based on Service Oriented Architecture (SOA) which provides interoperability and integration of the legacy Healthcare Information Systems features.  This article proposes a framework with nine governance elements that should be considered during the Service Oriented Architecture (SOA) implementation process. This framework provides necessary guidelines to successfully govern SOA and tackle longstanding Healthcare Information Systems (HIS) implementation challenges. The framework was tested in a healthcare organization and valuable insights are presented. The framework is intended to be used as a decision supporting tool for SOA Governance in a healthcare settings.



The second article is a Teaching Case article titled, "Amassing and Analyzing Customer Data in the Age of Big Data: A Case Study of Haier's Online to Offline Business Model."  This article emphasizes that big data provides firms with new opportunities to create business value. However, data sourcing remains a challenge for organizations seeking to adopt and implement new data technology for routine use, particularly in turbulent business environments. Online to offline business model has become the prevailing e-commerce business model in China. The goal of this study is to investigate how this new business model uses big data technology to explore and amass valuable customer resources. With the support of big data technology, Haier, the largest home appliance manufacturer in the world, has deployed the online to offline business model very effectively, transforming the company from a traditional manufacturing commerce operation to an Internet-based business undertaking company. This case study provides a good example of how business value can be created in today's age of big data. This case study provides new insights into implementing online to offline business model practices and big data applications effectively by companies worldwide.



The Expert Opinion report documents interview by Dr. Mahesh Raisinghani with Dr. Ra Jain, currently a Professor of Computer Science and Engineering at Washington University in St. Louis.  Dr. Raj Jain is a Fellow of IEEE, ACM, and AAAS; a winner of ACM SIGCOMM Test of Time award, CDAC-ACCS Foundation Award 2009; and ranks among the top 90 in Citeseer's list of Most Cited Authors in Computer Science. Questions posed to Dr. Jain on the hot topic of Internet Of Things (IoT) are: (a) What is IoT and why should CIOs worry about it?; (b) Please name and briefly describe some of the strategic IoT applications; (c) What are the factors that have led to the recent euphoria about IoT?; (d) What is Fog Computing and how is it related to IoT?; (e) What are the new challenges brought in by IoT?.



Book review report by Dr. Vemuri provides a detailed critique of the 2015 book titled, "Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction," co-authored by Dr. Guido W. Imbens and Dr. Donald B. Rubin and published by Cambridge University Press.  The reviewer predicts that this book, with essential elements of simplicity and clarity in a classic, will inspire and educate future generations of students and researchers dealing with serious research questions, just as Paul Samuelson's Economics and Philip Kotler's Marketing Management have shaped their respective disciplines. The book review can be summarized as follows with excerpts from the book review itself.


"Part I of the book covers the introduction to the volume in 43 pages spread over three chapters. Important vocabulary of Rubin's Potential Outcomes Model used throughout the book are clearly explained. Chapter 1 introduces the potential outcomes model and the important assumption called the stable unit treatment value assumption and its limitations are clearly explained. Chapter 2 provides the history of the potential outcomes approach to causal inference. Chapter 3 provides an important classification of assignment of subjects to treatment and control groups.  Part II of the book covers classical randomized experiments with eight chapters. The basic statistical methods are presented in the context of causal inference and computing average treatment effects. Part III consists of 4 chapter -- Chapter 12 clearly explains the usefulness of the propensity score in observational studies and establishes several results useful in treating observational data as if it were coming from completely randomized experiments. Much of the remaining section of this book expands on the estimation strategies including estimating propensity score using logistic regression (Chapter 13), assessing similarity of control and treatment groups (Chapter 14), Mahalanobis distance and propensity score matching (Chapter 15).  Part IV expands on the estimation methods; previous concepts are further explained and illustrated with numerical examples based on well-known data sets from diverse disciplines. Part V deals with supplementary analysis of regular assignment mechanisms. Two short chapters in this section deal with assessing the validity of the critical unconfoundedness assumption, and analyzing sensitivity of treatment effects estimates to the assumptions of confoundedness.  Part VI, constituting three chapters, deals with econometric issues of noncompliance of treatment assignment.  In this part instrumental variable theory is used to estimate local average treatment effect applicable to some narrow segment of the population. Part VII is a two-page intuitive and jargon-free summary conclusion."



The new publisher, in line with the ongoing trends, has been published this journal online since 2014.  The website to find all JITCAR issues is: http://www.tandfonline.com/utca. All authors and reviewers are encouraged to start using Routledge's online manuscript submission and reviewing system http://www.editorialmanager.com/jitcar/.  I urge all our current and future authors and reviewers to familiarize themselves with this system.



I hope you will enjoy reading all the items in this issue.  With best regards,



Sincerely



Dr. Shailendra Palvia
Fulbright-Nehru Senior Scholar for 2016-17
Professor of MIS, College of Management
Long Island University Post, Brookville, NY 11801.
http://liu.edu/CWPost/Academics/Faculty/Faculty/P/Shailendra-Palvia?rn=Faculty+Profiles&ru=/CWPost/Academics/Faculty/Faculty
Founding and curent Editor-in-Chief, Journal of IT Case and Application Research (JITCAR)
http://www.tandfonline.com/utca
2012 and 2016 LIU Post Nominee for Abraham Krasnoff Lifetime Scholarship Achievement Award
Faculty Advisor for the Indo-American Club and MIS club
Phone #: 732-983-7034