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At a glance

Dates
Due to the business interruption of the Covid-19 virus, ICBDIB will be postponed to late October 2020. 

Schedule
Day 1
Conference: 08:30 to 17:00
Reception dinner: 18:30 to 20:30

Day 2
Conference: 08:30 to 17:00

Day 3
Optional group outing
Natural History Museum
10:00 to 12:00
Science Museum
14:00 to 16:00

What is included?

  • Conference attendance
  • Reception dinner
  • Light breakfast, refreshments, lunch on conference days
  • Certificate of Appreciation

Social media hashtag
#ICBDIB

Submissions
Selected papers to be put forth for publication in affiliated journals

  • Submission deadline
    Date to be confirmed
  • Author notification
    Date to be confirmed
  • Final manuscript
    Date to be confirmed
  • Submission deadline second cycle
    Date to be confirmed

Template & Submission Procedure
Step 1 : Submission Procedures
Step 2:  Submit paper 

Fees

  • US$395  Authors
  • US$250 Student Authors
  • US$350 Attendees (non-Authors)
  • US$150  Per additional article

Venue
(Day 1 & 2)
Imperial College Business School
South Kensington Campus
Ayrton Rd, Kensington
London SW7 2AZ
United Kingdom

About this conference

Let Big Data Drive Excellence

The 2nd International Conference on Big Data in Business (ICBDIB) aims to foster growth and research in the multi-faceted field of Big Data in Business by bringing together academicians globally to present 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.

The aim of the conference is to provide an opportunity for academicians and professionals from various fields with cross-disciplinary interests to bridge knowledge gaps, promote research and bring forth technological advances.

English is the official language of the conference. ICBDIB is a double-blind, peer-reviewed conference. We welcome paper submissions.

Dedicated conference website: https://www.icbdib.org/ 

What you will gain by joining us at the ICBDIB?

  • A truly international annual gathering in the field of big data in business;
  • Networking with international participants;
  • Develop new partnerships and associations with key decision makers across all sectors;
  • Learn and share the latest research findings and future impact of developments in research related to using and applying big data and data analysis tools.
  • Opportunities to develop cross-border collaborations.

This conference is best suited to students, researchers, and managers of IT, Analytics, Digital Analytics, Big Data, Data Management, Predictive Analytics, and Data Science who are interested in the field of Big Data in Business.

If you have any questions about ICBDIB, please email Conference Director, May Khizam at may@thegridmedia.co.uk

Thank you and best regards,

Co-Chairs

Dr. David Stillwell, Lecturer in Big Data Analytics and Quantitative Social Science, Judge Business School, Cambridge University

Dr. Cihan Cobanoglu, McKibbon Endowed Chair Professor, University of South Florida & President of ANAHEI, USA

 

Testimonial from 2019 ICBDIB

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

Prof. Cihan Cobanoglu
Conference Co-Chair

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

Dr. Nisreen Ameen
Programme Committee

Lecturer in Marketing
School of Management
Royal Holloway
University of London
United Kingdom

Josephine Chong
Programme Committee

Northumbia University
Newcastle
United Kingdom

Dr. Caterina Marini
Programme Committee

Lecturer in Economic Statistics
Department of Economics and Finance
University of Bari Aldo Moro
Italy

Dr. Samuel Choi
Programme Committee

Assistant Professor
Lee Shau Kee School of Business and Administration
The Open University of Hong Kong
Hong Kong

 Dr. David Stillwell
Conference Co-Chair

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

Dr.  Chengzhong Wu
Programme Committee

Professor
Director of Research Center
Culture and Leisure industries
University of International Business
and Economics
China

Dr. Haitham Nobanee
Programme Committee

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

Dr. Peter Dahlin
Programme Committee

Senior Lecturer in Business Analytics
School of Business, Society and Engineering
Mälardalen University, Sweden

Zoaib Mirza
Programme Committee

Director
Instructional Design
Cornell University
United States of America

Kim Trottier, MSc, PhD, CPA, CA
Programme Committee

Associate Professor of Accounting
Beedie School of Business
Simon Fraser University
Canada

Dr. Elisabetta Venezia
Programme Committee

Lecturer in Applied Economics
Department of Economics and Finance
University of Bari Aldo Moro
Italy

Dr. Mahmood Shah
Programme Committee

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

Dr. John Hooker
Programme Committee

Professor of Operations Research
Carnegie Mellon University
United States of America

Lena Tran, Ed.D., MBA
Programme Committee

Vice President of Strategic Partnerships and Workforce Innovation
San Jose City College
United States of America

Full Organising Committee

Conference Chairs

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

Dr. David Stillwell
Lecturer in Big Data Analytics and Quantitative Social Science
Cambridge University
Judge Business School

Keynote Speakers

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

Programme Committee Members

  • Saadat M. Alhashmi, Associate Professor of Computing and Management Sciences, University of Sharjah, United Arab Emirates
  • Mohammed Ali Akour, Associate Professor of Business, A’Sharqiyah University, Oman
  • 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 Nisreen Ameen, Lecturer in Marketing, School of Management, Royal Holloway, University of London, United Kingdom
  • Irfan Butt, Assistant Professor of Marketing, Lakehead University, Canada
  • Imed Chkir, Associate Professor of Finance, University of Ottawa, Canada
  • Samuel Choi, Assistant Professor,Lee Shau Kee School of Business and Administration, The Open University of Hong Kong, Hong Kong
  • Josephine Chong, Northumbia University, Newcastle, United Kingdom
  • Dr. Peter Dahlin, Senior Lecturer in Business Analytics
    School of Business, Society and Engineering, Mälardalen University, Sweden
  • Isam Faik, Assistant Professor of Information Systems and Analytics, National University of Singapore, Singapore
  • Alaa Garad, Senior Lecturer, University of Portsmouth, UK
  • John Hooker, Professor of Operations Research, Carnegie Mellon University, USA
  • Adnan Iqbal, Senior Lecturer, School of Business, Whitireia Polytechnic New Zealand
  • Muhammad Tahir Jan, Associate Professor of Marketing, International Islamic University, Malaysia
  • Bassem Jarboui, Professor of Management Science and Operational Research, Emirates College of Technology, United Arab Emirates
  • Dr Puneet Kaur, Department of Industrial Engineering and Management, Aalto University, Finland
  • Dr. Caterina Marini, Lecturer in Economic Statistics, Department of Economics and Finance, University of Bari Aldo Moro, Italy
  • Zoaib Mirza, Director, Instructional Design, Cornell University, United States of America
  • Dr. Haitham Nobanee, Visiting Research Professor, The University of Oxford, Director of the DBA Program, Abu Dhabi University, UAE
  • Thomas Lange, Associate Dean of Research, Australian Catholic University, Australia
  • Davide La Torre, Professor of Business Analytics and Operations Management, SKEMA Business School, Sophia Antipolis Campus, France
  • Issam Tlemsani, Professor of finance, Prince Mohammad Bin Fahd University, KSA
  • Lena Tran, Ed.D., MBA, Vice President of Strategic Partnerships and Workforce Innovation, San Jose City College, United States of America
  • Kim Trottier, MSc, PhD, CPA, CA, Associate Professor of Accounting, Beedie School of Business, Simon Fraser University, Canada
  • Dr. Elisabetta Venezia, Lecturer in Applied Economics, Department of Economics and Finance, University of Bari Aldo Moro, Italy
  • Dr.  Chengzhong Wu, Professor, Director of Research Center of Culture and Leisure industries, University of International Business and Economics, China
Keynote speakers and topics

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

Topic:
Big Data in Services Industries: Opportunities and Challenges

In the last half decade, the notion and use of big data has become omnipresent in diverse industries but also in academia. The excitement over big data is mainly due to its potential applications in industries and the spectrum of opportunities it provides in this era of technological progress. Big data analytics which involves the analysis of data to enhance predictive capabilities and assist in decision-making, has come with a myriad of positive prospects in different sectors including healthcare, trading, agriculture, tourism (Benjelloun et al, 2015), scientific research (Oguntimilehin and Ademola, 2014), but also for the development of smart cities (Batty, 2013; Kumar and Prakash, 2014; Hashem, Chang, Anuar, Adewole, Yaqoob, Gani, Ahmed and Chiroma, 2016), network and telecommunications (Zheng et al, 2016; Mahrt and Scharkow, 2013) and banking and finance (Sun, Morris, Xu, Zhu and Xie, 2014; Seth and Chaudhary, 2015).

In addition, big data analytics carries benefits not only for the business and private sector, but also for the public sector by providing capabilities to serve the citizens and address major national challenges related to the economy, healthcare, job creation, natural disasters and terrorism (Kim, Trimi and Chung, 2014). However, the pace at which big data analytics has developed in the recent years also brought about challenges related to security (Fhom, 2015; Toshniwal, Dastidar and Nath, 2015) and privacy (Fhom, 2015; Oguntimilehin and Ademola, 2014).

Despite the security and privacy related issues posed by big data, and the challenges that can be encountered in its uses and applications, there exists a consensus among scholars that big data ultimately contributes at enhancing business strategies and firm performance. In fact, big data and predictive analytics have revealed to be very useful for business departments such as human resources (Angrave, Charlwood, Kirkpatrick, Lawrence, Stuart, 2016; Shah, Irani, Zahir, Sharif and Amir, 2017), supply chain management (Biswas and Sen, 2017) or advertising (Couldry and Turow, 2014).

Big data can also contribute at achieving competitive advantage (Barham, 2017) and creating value in a company (Vidgen, Show and Grant, 2017; Grover, Roger, Chang and Dongsong, 2018) and present advantages to improve customer experience (Spiess, T’Joens, Dragnea, Spencer and Philippart, 2014) and the overall firm performance (Akter, 2016). The goal of this presentation is to deliver a bigger picture on how big data is being discussed in the service industries, what are the general trends and what are the methods commonly used in this regard.

Who should attend?

This conference is best suited to students, researchers, and managers of IT, Analytics, Digital Analytics, Big Data, Data Management, Predictive Analytics, and Data Science who are interested in the field of Big Data in Business.

ICBDIB attracts experts from academia and industry of various fields with cross-disciplinary interests to bridge knowledge gaps, promote research and bring forth technological advances.

Programme and Schedule

Programme
The actual conference programme will be sent to delegates two to four weeks prior to the ICBDIB once all submissions are finalised.

 

Dates
Due to the business interuption of the Covid-19 virus, ICBDIB will be postponed to late October 2020. The venue will be at Imperial College London, United Kingdom.

Schedule
Day 1
Conference: 08:30 to 17:00
Reception dinner: 18:30 to 20:30

Day 2
Conference: 08:30 to 17:00

Day 3
Optional group outing
Natural History Museum
10:00 to 12:00
Science Museum
14:00 to 16:00

Registration fees

Fees

  • US$395  Authors
  • US$250 Student Authors
  • US$350 Attendees (non-Authors)
  • US$150  Per additional article
What is included?

 

  • Conference attendance
  • Reception dinner
  • Light breakfast, refreshments, lunch on conference days
  • Certificate of Appreciation
Call for papers

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

Management
● Big data and its value for SMEs
● Understanding competition using big data

Accounting
● Enhanced assessment techniques
● Growth rate predictions using big data

Finance and Banking
● Big data in finance and banking
● FinTech
● Credit risk assessment
● Direction of financial markets
● Liquid asset pricing
● Security

Auditing/Assurance
● Effective data capture to use analytics in audit
● Big Data to obtain better evidence for audit opinions

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

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

Retail
● Evolution of customer service driven by big data
● Predicting consumer trends

Innovation and Entrepreneurship
● Creating new experiences, services and products

Sustainability in Business
● Eliminating overlap using big data

Business Education
● Big data in the business curriculum
● Future of business education

Business Ethics
● Studying customer behavior to avoid fraud

Business Intelligence and Analytics
● Big data for risk management
● Valuation of customers using big data
● Presenting data effectively

 

 

Who should attend
To be completed.

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.

 

 

Submission Deadlines

Proceedings
ICBDIB proceedings will be submitted to Scopus for indexing (ISSN:  ISSN 2632-6132)

Submission Deadlines
Selected papers to be put forth for publication in affiliated journals

  • Submission deadline
    Date to be confirmed
  • Author notification
    Date to be confirmed
  • Final manuscript
    Date to be confirmed
  • Submission deadline second cycle
    Date to be confirmed
Template & Submission Procedure
Proceedings

Selected papers will be published in a special issue of the Journal of Hospitality and Tourism Technology (SSCI). In addition, selected papers will be invited to several high level journals including Journal of International Contemporary Hospitality Management (SSC, Scopus) and Tourism Review (SSCI, Scopus).

In addition, full papers will be published as an open-access book by University of South Florida M3 Center (please see the previous books published here)

Visa invitation letter
Delegates may request a letter to support a visa application only after registration has been paid.

The Grid Media Ltd will only issue invitation letters to prospective delegates once we have verified the name, title and organisation to which the delegate belongs.

To request a visa invitation letter, please email

Certificate of attendance

All attendees will receive a Certificate of Attendance to the 2nd International Conference on Big Data in Business (ICBDIB)

Venue

The ICBDIB committee is pleased to welcome researchers to join us at Imperial College London this year at the following venue:

Imperial College Business School
South Kensington Campus
Ayrton Rd, Kensington
London SW7 2AZ
United Kingdom

 

Refund Policy

If the delegate needs to cancel registration (we understand this may be necessary), we request an email as soon as possible.

We will refund registration fees with a 20% deduction for handling charges up to 14 calendar days before the first day of the conference.

Thank you for your understanding

 

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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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