Enabling integrated business planning through big data analytics: a case study on sales and operations planning

Abstract

Purpose

The purpose of this study is to investigate how big data analytics capabilities (BDAC) enable the implementation of integrated business planning (IBP) – the advanced form of sales and operations planning (S&OP) – by counteracting the increasing information processing requirements.

Design/methodology/approach

The research model is grounded in the organizational information processing theory (OIPT). An embedded single case study on a multinational agrochemical company with multiple geographically distinguished sub-units of analysis was conducted. Data were collected in workshops, semistructured interviews as well as direct observations and enriched by secondary data from internal company sources as well as publicly available sources.

Findings

The results show the relevancy of establishing BDAC within an organization to apply IBP by providing empirical evidence of BDA solutions in S&OP. The study highlights how BDAC increase an organization's information processing capacity and consequently enable efficient and effective S&OP. Practical guidance toward the development of tangible, human and intangible BDAC in a particular sequence is given.

Originality/value

This study is the first theoretically grounded, empirical investigation of S&OP implementation journeys under consideration of the impact of BDAC.

Citation

Schlegel, A., Birkel, H.S. and Hartmann, E. (2021), "Enabling integrated business planning through big data analytics: a case study on sales and operations planning", International Journal of Physical Distribution & Logistics Management, Vol. 51 No. 6, pp. 607-633. https://doi.org/10.1108/IJPDLM-05-2019-0156