At a glance

Conference name
2019 International Conference on Big Data in Business (ICBIB)

Click here for ICBIB dedicated website

The ICBIB conference proceedings will be submitted to Scopus for indexing (ISSN: 2632-6132)

Affiliated journals
OMEGA  Special Issue: Decision Making based on Big Data
Publisher: Elsevier
Critical Perspectives on Accounting, Special Issue: Big Data and Accounting
Publisher: Elsevier
IEEE Transactions on Big Data
Publisher: IEEE
Big Data
Publisher: Mary Ann Liebert

Important dates

  • Submission Deadline: Sept 20th, 2019
  • Author Notification: Sept 30th, 2019
  • Final Manuscript: October 3rd, 2019
  • ICBIB conference: Oct 29th-31st, 2019


Oct 29th to Oct 31st, 2019
08:30 to 17:00 on both days

Registration fee

US $550 Authors
US $495 Attendees (general)
US $435 Student Authors


Hallam Conference Centre
44 Hallam St, Marylebone
London W1W 6JJ
United Kingdom


Conference Proceedings


About this conference

Businesses, including both large corporations and SMEs, use data-driven strategies to capture trends, compete and innovate.

Big data now translates to significant new growth opportunities. In addition to the broad scale of big data, the high frequency and real time nature of data are critical and highly beneficial.

In short, big data has revolutionized the way business functions, comprising the full breadth and the entire cycle of operations. Now that businesses deal with myriad data collected by operational and customer metrics on what influences customer decision making, they can greatly improve productivity by accurately analyzing this data, for example to target potential customers more effectively.

Businesses can further establish themselves by optimizing such key factors as customer engagement and brand loyalty through modern marketing management strategies that successfully harness the power of big data.

Owing to the omnipresence of big data in all spheres of business (accounting, economics, finance, management, HR, and marketing), this conference serves as a platform for businesses to further discussions geared towards the impact and implications of big data technologies on the current industry.

The International Conference on Big Data in Business 2019 aims to foster growth and research in the multi-faceted field of Big Data in Business by bringing together esteemed academicians to present their latest research and breakthroughs in the field.

In addition, this conference aims to promote collaborative excellence between academicians and industry professionals by bringing together researchers and practitioners who strive to keep ahead of the curve by applying the latest research in the field.

Thanks for giving me the chance to participate to your amazing conference. I really had a good time and it was very interesting to meet other people that work in similar topics and making connections with them.

Prof. Beatrice Venturi
Associate Professor of Mathematics for Economics
Department of Business and Economics
University of Cagliari, Italy

Keynote Speakers and Organising Committee includes

 Dr. David Stillwell
ICBIB Keynote Speaker

Lecturer in Big Data Analytics and Quantitative Social Science
Cambridge University
Judge Business School

Dr. Mahmood Shah
ICBIB Publicity Chair

Senior Lecturer in E-Business
School of Strategy and Leadership
Coventry University, UK

Dr. Alaa Garad
ICBIB  Programme Committee

Senior lecturer
University of Portsmouth
United Kingdom

Dr. Haitham Nobanee
ICBIB Conference Chair

Visiting Research Professor
The University of Oxford
Director of the DBA Program
Abu Dhabi University

Dr. Nisreen Ameen
ICBIB Special Session & Tutorial Chair

Lecturer in Marketing
School of Management
Royal Holloway, University of London

Dr. John Hooker
ICBIB Programme Committee 

Professor of Operations Research
Carnegie Mellon University
United States of America

Prof. Cihan Cobanoglu
ICBIB  Co-Chair & Keynote Speaker

McKibbon Endowed Chair Professor
University of South Florida
United States of America

Dr. Amandeep Dhir
ICBIB Proceedings Chair

Research Fellow
University of Turku

Dr. Zoaib Mirza
ICBIB  Programme Committee

Director, Product Development
Strategy & Development
Adtalem Global Education


Full Organising Committee
Conference Chair

Dr. Haitham Nobanee

Visiting Research Professor, The University of Oxford
Honorary Professor,  The University of Liverpool
Director of the DBA Program, Abu Dhabi University


Conference Co-Chair

Professor Cihan Cobanoglu
McKibbon Endowed Chair Professor & Director of M3 Center
University of South Florida


Publicity Chair

Dr. Mahmood Shah

Senior Lecturer in E-Business
School of Strategy and Leadership
Coventry University
United Kingdom


Proceedings Chair

Dr. Amandeep Dhir

Research Fellow
University of Turku


Special Session & Tutorial Chair

Dr. Nisreen Ameen

Lecturer in Marketing
School of Management
Royal Holloway, University of London


Programme Committee

  • Dr. John Hooker, Professor of Operations Research, Carnegie Mellon University, United States of America
  • Dr. Ahmed Abu Jbara, PhD, Adjunct Professor, George Mason University, United States of America
  • Dr. Tarek Shamma, Binghamton University, United States
  • Dr. Isam Faik, Assistant Professor of Information Systems and Analytics, National University of Singapore, Singapore
  • Dr. Nisreen Ameen, Lecturer in Marketing School of Management Royal Holloway, University of London
  • Dr. Alaa Garad, Senior lecturer, University of Portsmouth, UK
  • Dr Puneet Kaur, Department of Industrial Engineering and Management, Aalto University, Finland
  • Dr. Imed Chkir, Associate Professor of Finance, University of Ottawa, Canada
  • Dr. Thomas Lange, Ph.D. FRSA CAHRI SFHEA, Associate Dean Research, Australian Catholic University, Australia
  • Dr. Bassem Jarboui, Professor of Management Science and Operational Research, Emirates College of Technology, United Arab Emirates
  • Dr. Rafiq H. Hijazi, Assistant Professor of Business, Al Ain University of Science and Technology, United Arab Emirates
  • Dr. Saadat M. Alhashmi, Associate Professor of Computing and Management Sciences, University of Sharjah, United Arab Emirates
  • Dr. Yousef Hassan, Assistant Professor of Accounting, Birzeit University, Palestine
  • Dr. Ghassan Shahin, Palestine Polytechnic University, Palestine.
  • Dr. Belal Barhem, Professor of Management, Amman Arab University, Jordan
  • Dr. Sherif G. Aly, The American University in Cairo, Arab Republic of Egypt
  • Dr Saeed Askary, Associate Professor of Accounting, Gulf University for Science and Technology, Kuwait
  • Dr. Adnan Iqbal, Senior Lecturer, School of Business, Whitireia Polytechnic New Zealand
  • Dr. Davide La Torre, Professor of Business Analytics and Decision Sciences, University of Dubai, United Arab Emirates
  • Dr. Muhammad Tahir Jan, Associate Professor of Marketing, International Islamic University, Malaysia
  • Dr. Mohammed Ali Akour, Associate Professor of Business, A’Sharqiyah University, Oman
  • Dr. Issam Tlemsani, Professor of finance, Prince Mohammad Bin Fahd University, KSA
  • Dr. Irfan Butt, Assistant Professor, Lakehead University
  • Dr. Genevieve M Hibbs BS MPH PhD FCybS, CQC (Care Quality Commission) ExE (Expert by experience), Multi-disciplinary researcher
Keynote speakers and topics

Big Data or Big Brother? The ethics of big data psychometrics


Many researchers, including myself (e.g. Kosinski, Graepel & Stillwell, 2013), have published research showing that psychological traits like personality and intelligence can be predicted from the digital footprints people leave behind when they use digital services like social media. Should this capability be used in practice, and if so under what conditions? The Facebook Cambridge Analytica scandal clearly demonstrates that the public is uneasy when they feel their data was misused, but on the other hand the public also likes personalized recommendations and services. This session will introduce the big data psychometrics technology and will then encourage debate on its application by organisations.


Dr. David Stillwell is Lecturer in Big Data Analytics and Quantitative Social Science at Judge Business School in the University of Cambridge. He is also Academic Director of the Psychometrics Centre.

David studies the links between big data and psychology; his research with 6 million social media users found that the computer can predict a user’s personality as accurately as their spouse can. Follow up research found that personalizing an advert to the recipient’s psychology is more effective than generic ads.

David has also published research using various big data sources to show that spending money on products and services that match one’s personality leads to greater life satisfaction, that people tend to date others who have a similar personality, and that people who swear seem to be more honest.


Big Data in Services Industries: Opportunities and Challenges

Professor Cihan Cobanoglu
McKibbon Endowed Chair Professor
University of South Florida
United States of America

I doubled them twice in five years: the effects of my time spent working.

Dr. Genevieve M Hibbs BS MPH PhD FCybS
CQC (Care Quality Commission) ExE (Expert by experience)
Multi-disciplinary researcher


From rural feudal village childhood dependent on horse and cart to the present at, aged 84, I have not ceased to learn — though it was not always so.

If a theologian had made an important discovery because he had studied theology, mathematics and astronomy, I was headed for something interesting, when in the early 1970’s, I recognised that matching people to jobs in terms of their health, safety and welfare involved knowledge of multiple disciplines about the person, and about those disciplines that would interact with the person in the workplace.

By 1979 they judged me to be more than 2 standard deviations above, in terms of knowledge of behavioural sciences, than all master’s candidates in the UK that year.  In my talk I plan to explain my title, and sketch some influential experiences resulting from the kinds of insights needed for successful AI applications.

Who should attend
This conference is best suited for academicians and professionals from various fields with cross-disciplinary interests to bridge the knowledge gap, promote research and bring forth technological advances.

The Grid Media Ltd reserves the right to refuse registration if it deems that the prospective delegate represents a conflict of interest or is not relevant to the purpose of the conference.

Similarly, The Grid Media Ltd will only issue invitation letters to prospective delegates from outside the United Kingdom once it has verified the name, title and organisation to which the delegate belongs.

Important dates
  • Submission Deadline: Aug 3rd, 2019
  • Author Notification: Sept 15th, 2019
  • Final Manuscript: October 3rd, 2019
  • ICBIB conference: Oct 29th-31st, 2019
Call for papers/abstracts
ICBIB 2019 will be a meeting platform for international researchers to discuss and debate big data advances and applications. We envisage studies that reflect upon and provide innovative solutions that contribute to the sustainable development of the academic field of business studies. The conference targets research related to using and applying big data and data analysis tools in the following or related domains:

The conference proceedings will be published online with ISSN 2632-6132.

Papers submitted and presented at the (ICBIB 2019) conferences will have an opportunity for publication in the following Journals/ Special Issues. Selected papers presented in the conference will be submitted directly to the journals/ Special Issues and will be subject to the journals’ standard editorial and reviewing process. All papers are considered on the basis of their individual merit alone, and the fact that a paper may have been accepted for presentation at a conference does not ensure its acceptance for publication in the recommended Journals/ Special Issues


  1. OMEGA; Special Issue: Decision Making based on Big Data, Publisher: Elsevier, ISSN:0305-0483. Impact Factor: 4.3, Web of Science /ISI, Scopus, 
  2. Critical Perspectives on Accounting, Special Issue: Big Data and Accounting, Publisher: Elsevier, ISSN:1045-2354E-ISSN:1095-9955, Impact Factor: 3.2, Web of Science /ISI, Scopus, ABS (3), ABDC (A), 
  3. IEEE Transactions on Big Data, Publisher: IEEE, E-ISSN:2332-7790., SNIP (2018): 8.1, 
  4. Big Data, Publisher: Mary Ann Liebert, ISSN:2167-6461E-ISSN:2167-647X. Impact Factor: 1.5, Web of Science /ISI, 

Click here to download format template.


The conference targets research related to using and applying big data and data analysis tools in the following or related domains:

  1. Management
    • ● Big data and its value for SMEs
    • ● Understanding competition using big data
  2. Accounting
    • ● Enhanced assessment techniques
    • ● Growth rate predictions using big data
  3. Finance and Banking
    • ● Big data in finance and banking
    • ● FinTech
    • ● Credit risk assessment
    • ● Direction of financial markets
    • ● Liquid asset pricing
    • ● Security
  4. Human Resources
    • ● Just-in-time talent demands and long-term planning
    • ● Aligning workforce analytics with the larger business strategy
    • ● Applying analytics across the talent lifecycle
    • ● Workforce planning and building
    • ● Getting ahead of AI and technology trends
    • ● Understanding socio-economic changes and the future of work
  5. Marketing
    • ● Measuring, evaluating and predicting the social consumer
    • ● Multi-platform consumer engagement
    • ● Benefits of social and mobile support strategies
    • ● Mobile marketing
    • ● Social media marketing
    • ● Emerging trends in marketing research
    • ● Exploiting data to build innovative marketing and e-commerce strategies
    • ● Cross-channel effects and synergies in digital and traditional advertising
    • ● Measuring consumer behavioral changes
    • ● Algorithmic bias in advertisement delivery
    • ● Promoting and protecting brands
  6. Retail
    • ● Evolution of customer service driven by big data
    • ● Predicting consumer trends
  7. Innovation and Entrepreneurship
    • ● Creating new experiences, services and products
  8. Sustainability in Business
    • ● Eliminating overlap using big data
  9. Business Education
    • ● Big data in the business curriculum
    • ● Future of business education
  10. Business Ethics
    • ● Studying customer behavior to avoid fraud
  11. Business Intelligence and Analytics
    • ● Big data for risk management
    • ● Valuation of customers using big data
    • ● Presenting data effectively


Click here to learn more about the submission procedure


Certificate of attendance
All attendees will receive a Certificate of Attendance to the 2019 International Conference on Big Data in Business, London, United Kingdom.
Conference venue
Hallam Conference Centre
44 Hallam St, Marylebone
London W1W 6JJ
United Kingdom
Here are three nearby hotels that are between a 2-5 minute walk from the conference venue.

All can be booked through the respective website of the hotel or through websites such as

  1. Holiday Inn (from GBP 220 per night)
  2. Astor Court Hotel (from GBP 149 per night)
  3. Hallam Hotel (from GBP 130 per night)

We have listed these hotels as mere suggestions due to close proximity to the conference venue. We do not have any commercial relationship.

Contact us
Please email
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When you register you will receive a confirmation email to print out or show digitally when you attend on the day.

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