Abstract
Organizations increasingly rely on big data and analytics for strategic decision-making where individuals’ analytics mindset (AM) is critical for shaping a data-driven culture and obtaining favorable outcomes. Notwithstanding its importance, there is a lack of empirical evidence on AM constituents and outcomes. Hence, this study employs the mindset theory of action phases and the expectancy-value theory to develop an AM instrument, considering expectancy-related beliefs, values, and perceived costs as AM constituents. Individual effort and persistence are also proposed as mediators for the link between the AM elements and decision quality. Structural equation modeling analysis on a sample of 251 respondents reveals that expectancy-related beliefs positively impact effort, and show insignificant effects on persistence whereas values significantly impact both effort and persistence. Perceived costs negatively affect individuals’ persistence and exhibit no effects on effort. Effort and persistence mediate the links between AM factors and decision quality, showing positive impacts on the outcome variable. This study contributes to the mindset domain, offering insights into the cognitive nature of AM and its link to individual outcomes through the mediating role of effort and persistence. Through the AM model, organizations and institutions can track and manipulate such factors to nurture an AM among employees and students to foster analytics and data-driven decision-making practice.