Article citationsMore>>

Rialti, R., Zollo, L., Ferraris, A., & Alon, I. (2019). Big Data Analytics Capabilities and Performance: Evidence from a Moderated Multi-Mediation Model. Technological Forecasting and Social Change, 149, Article ID: 119781.
https://doi.org/10.1016/j.techfore.2019.119781

has been cited by the following article:

• TITLE: Boosting Innovation Performance through Business Analytics Capabilities under Different Levels of Turbulence: The Crucial Role of Market Agility

  AUTHORS: Hassan Alboqami

  KEYWORDS: Business Analytics Capabilities, Market Agility, Innovation Performance, Turbulent Environment, Dynamic Capability Theory

  JOURNAL NAME: Open Journal of Business and Management, Vol.11 No.2, March 17, 2023

  ABSTRACT: Considerable resources were invested by many businesses in developing business analytics capabilities to enhance their performance. Previous research revealed that business analytics capabilities can influence business performance in various methods. Our study seeks to examine the influence of business analytics capabilities on innovation performance through market agility. We also explore these relationships under different turbulent environment. Data were collected from 427 managers in the food industry in Saudi Arabia. Structural equation modelling was used to analyze the collected data. The findings indicated that business analytics capabilities have direct and indirect influence on innovation performance. Market agility partially mediates the link between business analytics capabilities and innovation performance. This relationship is stronger in high turbulent environment. Our study provides meaningful theoretical contributions to business analytics and market agility literature and practical implications for managers in the food sector.