INDUSTRIAL MARKETING MANAGEMENT

Call for Papers

Cognitive Computing and Big Data Analytics for Data Driven Marketing Decisions and Bold Innovation in High Tech Industries

Deadline for submission: April 20, 2018

Overview and Purpose

Cognitive Computing and Big Data Analytics form a new paradigm that enables the integration of Internet Technology in business, industry sector and decision-making process. For the first time in history of human humankind, we are able to transform raw data, produced in masses, into knowledge and understanding, therefore strengthening our capacity to take informed- and data-based decisions in the fields of business and policy-making. Simultaneously, the empirical implications of the new paradigm lead to the emergence of new services and new business models, gradually transforming and widening our perceptions of innovation and entrepreneurship.

For the Web Science research and research community, the onset of this new paradigm opens a new spectrum of methodological and technological advances. It encourages the development of new frameworks and functionalities that, naturally, push the discovery process towards interdisciplinary and multidisciplinary research agendas. Paradoxically, research communities engaged in other than the web of science fields, have remained largely ignorant of the new paradigm and its profound implications for the business sector and, indeed, for the policy-making process too. The objective of this special issue is to encourage and facilitate dialogue among these, otherwise disconnected, research communities and to dwell on the emerging issues that the onset of the Cognitive Computing and Big Data Analytics paradigm stimulates.

Advances in computational engineering and the resultant potential entailed in data mining and data analytics bear the promise that at last we will be able to manage the vast space of the Internet of Things. Nevertheless, these advances also prompt several questions that need to be addressed at the political and regulatory level today if the potential of data mining and data analytics is to be exploited to the benefit of our societies tomorrow. Indeed, several developments over the past few years have highlighted that a consensus needs to be formed yet as to how to handle the emerging issues and challenges related to the availability of data and their management. The leading examples here include, on the one hand, the net neutrality principle that sparked a heated debate in the US, but also in other countries. On the other hand, the 2016 reform of data protection rules in the EU [http://ec.europa.eu/justice/data-protection], including the notion of “the right to be forgotten”. The latter will have far-reaching implications on which data will be available and which will not, with obvious consequences for data mining and data analytics. From a different angle, the questions of who and how will have access to the advanced tools of data mining and data analytics, sheds light on the complex ethical dimension inherent in the Cognitive Computing and Big Data Analytics debate. Clearly, as the Editors of this Special Issue argue that to boost and exploit the potential inherent in data mining and data analytics, informed dialogue among the variety of stakeholders involved is needed.

Possible topics include, but are not limited to:

• Cognitive Computing and Big Data Analytics for Advanced Marketing Decisions in High Tech Industries
• Data Driven Bold Innovation in High Tech Industries
• Cognitive Computing and Machine Learning approaches to marketing decisions
• Big Data Analytics and Data Driven sentiment analytics, emotions analysis for marketing purposes
• Maintenance of indexes and key performance indicators related to sensitive personal and business data
• Transparent and ubiquitous platforms for social mining in industrial contexts
• Granularity of business data and ethical issues for Marketing
• E-marketplaces of Data in High Tech Industries
• Big Data Big Data Analytics and Data Driven Marketing Decisions in High Tech industries in Customer Relationship Management Systems and Marketing Promotions
• Methodologies, Research Designs and smart services for the secure of privacy and security of individuals’, teams’ and businesses’ data key challenges to effective data mining and analytics across high tech industries
• Regulatory challenges and issues of data driven marketing decisions
• Contentious issues inherent in data mining and data analytics, including ethical considerations
• Big data and data analytics: case studies and best practices
• Open government services in context of the Cognitive Computing and Big Data Analytics paradigm
• The role of international organizations, incl. the OECD, the EU etc. in shaping the Cognitive Computing and Big Data Analytics debate,
• Cognitive Computing and Big Data Analytics for the decision-making process at local, regional, national and global levels
• Cognitive Computing and Big Data Analytics for inclusive sustainable socio-economic growth and development
• Cognitive Computing and Big Data Analytics for business model innovation (BMI)
• Case studies and best practices
• Cognitive Computing and Big Data Analytics management: algorithms, architectures, infrastructure
• Cognitive Computing and Big Data Analytics and safety and security issues: transmission surveillance, intrusion detection,
• Big Data and Data Analytics: redundancy analysis and missing data handling
• Big Data and Data Analytics: cryptography, accessibility, services

Other topics are also welcome as long as they relate with Cognitive Computing and Big Data Analytics and how they shape industrial marketing. Papers submitted to Industrial Marketing Management should be explicit about the contribution to industrial marketing or high tech industries.

Manuscript Preparation and Submission

To submit a paper please visit the IMM editorial site at

https://www.evise.com/profile/#/IMM/register.

Please login, register as an author, and submit the paper as the site will instruct you. Submissions are welcome no later than 20, April 2018. When you get to the step in the process that asks you for the type of paper, select SI: Cognitive Computing and Big Data. All papers will be reviewed through the standard double-blind peer review process of IMM. In preparation of their manuscripts, authors are asked to follow the Author Guidelines closely. A guide for authors, sample articles and other relevant information for submitting papers are available at:

https://www.elsevier.com/journals/industrial-marketing-management/0019-8501/guide-for-authors.

All queries about the special issue should be sent to the Guest Editor (see below).

Guest Editors

• Miltiadis D. Lytras, Research Professor, School of Business, Deree College – The American College of Greece, Athens, Greece, mlytras@acg.edu
• Xi Zhang, Professor, Tianjin University, Tianjin, People’s Republic of China, jackyzhang@tju.edu.cn
• Anna Visvizi, Ph.D., Associate Professor, School of Business, Deree College – The American College of Greece, Athens, Greece, avisvizi@acg.edu
• Naif Aljohani, Ph.D., Director, Decision Making Support Center, King Abdulaziz University, Saudi Arabia, nraljohani@kau.edu.sa

Key Dates

• Submission deadline: April 20, 2018
• Notification: June 20, 2018
• Revision Due: September 10, 2018
• Estimated Publication: Q4 2018

References

Lytras M., Raghavan, V. and Damiani E. (2017), “Cognitive Computing and Big Data Analytics Research: From Metaphors to Value Space for Collective Wisdom in Human Decision Making and Smart Machines. Int. J. Semantic Web Inf. Syst., 13(1): 1-10

Chen, H., Chiang, R., and Storey V. (2012), Business Intelligence and Analytics: From Big Data to Big Impact, MISQ, 36(4): 1165-1188

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