£64.55 – £480.29

2019 International Conference on Big Data in Business

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Location

Cavendish Venues

44 Hallam Street

London

W1W 6JJ

United Kingdom

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Description

Let Big Data Drive Excellence ICBIB 2019

Registration through Eventbrite incurs an extra charge. Registration through https://icbib.org/Home/RegistrationView incurs no extra charges.

ICBIB 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.

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


Call For Papers

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, http://www.omegajournal.org/specialissues.html

  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), https://www.journals.elsevier.com/critical-perspectives-on-accounting/call-for-papers/special-issue-big-data-and-accounting

  3. IEEE Transactions on Big Data, Publisher: IEEE, E-ISSN:2332-7790., SNIP (2018): 8.1, https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317

  4. Big Data, Publisher: Mary Ann Liebert, ISSN:2167-6461E-ISSN:2167-647X. Impact Factor: 1.5, Web of Science /ISI,https://home.liebertpub.com/publications/big-data/611

  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


Important Dates

Submission Deadline - August 3, 2019

Author Notification – September 15, 2019

Final Manuscript – October 3, 2019

Conference – October 29-31, 2019

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Date and Time

Location

Cavendish Venues

44 Hallam Street

London

W1W 6JJ

United Kingdom

View Map

Refund Policy

Refunds up to 1 day before event

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