Handbook of Big Data Research Methods

Edited by Shahriar Akter and Samuel Fosso Wamba

in Books from Edward Elgar Publishing

Abstract: This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.

Keywords: Business and Management; Economics and Finance; Innovations and Technology; Research Methods (search for similar items in EconPapers)
Date: 2023
ISBN: 9781800888548
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/view/book/9781800888555/9781800888555.xml (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable

Chapters in this book:

Ch 1 Introduction to the Handbook of Big Data Research Methods , pp 1-10

Shahriar Akter, Samuel Fosso Wamba, Shahriar Sajib and Sahadat Hossain

Ch 2 Big data research methods in financial prediction , pp 11-31

Md Lutfur Rahman and Shah Miah

Ch 3 Big data, data analytics and artificial intelligence in accounting: an overview , pp 32-51

Sudipta Bose, Sajal Kumar Dey and Swadip Bhattacharjee

Ch 4 The benefits of marketing analytics and challenges , pp 52-71

Madiha Farooqui

Ch 5 How big data analytics will transform the future of fashion retailing , pp 72-85

Niloofar Ahmadzadeh Kandi

Ch 6 Descriptive analytics and data visualization in e-commerce , pp 86-104

P.S. Varsha and Anjan Karan

Ch 7 Application of big data Bayesian interrupted time-series modeling for intervention analysis , pp 105-116

Neha Chaudhuri and Kevin Carillo

Ch 8 How predictive analytics can empower your decision making , pp 117-127

Nadia Nazir Awan

Ch 9 Gaussian process classification for psychophysical detection tasks in multiple populations (wide big data) using transfer learning , pp 128-147

Hossana Twinomurinzi and Herman C. Myburgh

Ch 10 Predictive analytics for machine learning and deep learning , pp 148-164

Tahajjat Begum

Ch 11 Building a successful data science ecosystem using public cloud , pp 165-178

Mohammad Mahmudul Haque

Ch 12 How HR analytics can leverage big data to minimise employees' exploitation and promote their welfare for sustainable competitive advantage , pp 179-194

Kumar Biswas, Sneh Bhardwaj and Sawlat Zaman

Ch 13 Embracing Data-Driven Analytics (DDA) in human resource management to measure the organization performance , pp 195-213

P.S. Varsha and S. Nithya Shree

Ch 14 A process framework for big data research: social network analysis using design science , pp 214-232

Denis Dennehy, Samrat Gupta and John Oredo

Ch 15 Notre-Dame de Paris cathedral is burning: lets turn to Twitter , pp 233-266

Serge Nyawa, Dieudonné Tchuente and Samuel Fosso Wamba

Ch 16 Does personal data protection matter in data protection law? A transformational model to fit in the digital era , pp 267-278

Gowri Harinath

Ch 17 Understanding the Future trends and innovations of AI-based CRM systems , pp 279-294

Khadija Alnofeli, Shahriar Akter and Venkata Yanamandram

Ch 18 Descriptive analytics methods in big data: a systematic literature review , pp 295-308

Nilupulee Liyanagamage and Mario Fernando

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eebook:20820

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this book

More books in Books from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().