Business Process Management Journal: Volume 23 Issue 3


Table of contents - Special Issue: Big data analytics and business process innovation

Guest Editors: Professor Samuel Fosso Wamba

Big data integration with business processes: a literature review

Samuel Fosso Wamba, Deepa Mishra

The purpose of this paper is to improve the understanding of the integration of business process management (BPM), business process re-engineering (BPR) and business process…


Business intelligence serious game participatory development: lessons from ERPsim for big data

Elise Labonte-LeMoyne, Pierre-Majorique Leger, Jacques Robert, Gilbert Babin, Patrick Charland, Jean-François Michon

A major trend in enterprise resource planning software (ERP) is to embed business analytics tools within user-centered roles in enterprise software. This integration allows…


Examining the adoption of big data and analytics curriculum

Alexander J. McLeod, Michael Bliemel, Nancy Jones

The purpose of this paper is to explore the demand for big data and analytics curriculum, provide an overview of the curriculum available from the SAP University Alliances…


A big data framework for facilitating product innovation processes

Yuanzhu Zhan, Kim Hua Tan, Guojun Ji, Leanne Chung, Minglang Tseng

The purpose of this paper is to suggest how firms could use big data to facilitate product innovation processes, by shortening the time to market, improving customers’ product…


A theoretical model of jump diffusion-mean reversion: Constant proportion portfolio insurance strategy under the presence of transaction cost and stochastic floor

Anindya Chakrabarty, Zongwei Luo, Rameshwar Dubey, Shan Jiang

The purpose of this paper is to develop a theoretical model of a jump diffusion-mean reversion constant proportion portfolio insurance strategy under the presence of transaction…

A bibliographic study on big data: concepts, trends and challenges

Deepa Mishra, Zongwei Luo, Shan Jiang, Thanos Papadopoulos, Rameshwar Dubey

The purpose of paper is twofold. First, it provides a consolidated overview of the existing literature on “big data” and second, it presents the current trends and opens up…


Past, present and future of contact centers: a literature review

Morteza Saberi, Omar Khadeer Hussain, Elizabeth Chang

Contact centers (CCs) are one of the main touch points of customers in an organization. They form one of the inputs to customer relationship management (CRM) to enable an…


Let’s stop trying to be “sexy” – preparing managers for the (big) data-driven business era

Kevin Daniel André Carillo

The purpose of this paper is to analyze the inadequacies of current business education in the tackling of the educational challenges inherent to the advent of a data-driven…


Does big data analytics influence frontline employees in services marketing?

Saradhi Motamarri, Shahriar Akter, Venkat Yanamandram

Big data analytics (BDA) helps service providers with customer insights and competitive information. It also empowers customers with insights about the relative merits of…


Big data in the Danish industry: application and value creation

Sune Dueholm Müller, Preben Jensen

The development within storage and processing technologies combined with the growing collection of data has created opportunities for companies to create value through the…


Employees’ reactions to IT-enabled process innovations in the age of data analytics in healthcare

Hillol Bala, Viswanath Venkatesh

Interorganizational business process standards (IBPS) are IT-enabled process specifications that standardize, streamline, and improve business processes related to…


Big data analytics: transforming data to action

Daniel Bumblauskas, Herb Nold, Paul Bumblauskas, Amy Igou

The purpose of this paper is to provide a conceptual model for the transformation of big data sets into actionable knowledge. The model introduces a framework for converting data…


Digital competences of the workforce – a research topic?

Matthias Murawski, Markus Bick

Considering working in the digital age, questions on the consequences for the individual workers are, so far, often neglected. The purpose of this paper is to deal with the…


Automated competitor analysis using big data analytics: Evidence from the fitness mobile app business

Liang Guo, Ruchi Sharma, Lei Yin, Ruodan Lu, Ke Rong

Competitor analysis is a key component in operations management. Most business decisions are rooted in the analysis of rival products inferred from market structure. Relative to…

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Emerald Publishing Limited

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  • Professor Majed Al-Mashari