New games, new rules: big data and the changing context of strategy

By Ioanna D. Constantiou, Jannis Kallinikos. Journal of Information and Technology, 2015

513 citations recorded by the source corpus.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/094b19739855efbdacb17a83508c42582391c263

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Citations in the corpus

How to improve firm performance using big data analytics capability and business strategy alignment (2016, background): “This ‘know-how’ and other types of knowledge are referred to as capabilities in this context, and can create or sustain competitive advantage (Constantiou and Kallinikos, 2014).”
Big other: surveillance capitalism and the prospects of an information civilization (2015, unknown): “’ These non-market activities are a ﬁ fth principal source of ‘ big data ’ and the origin of what Constantiou and Kallinikos (2014) refer to as its ‘ everydayness.”
Industry 4.0, global value chains and international business (2017, background): “McAfee and Brynjolfsson (2012) report that ﬁ rms that have adopted BDA report consequent improvements in productivity and ﬁ nancial performance.”
Debating big data: A literature review on realizing value from big data (2017, methodology): “The big data trend has created an attitude of collecting data without a pre-deﬁned purpose, promoting a bottom-up, inductive approach to big data collection, exploration, and analysis (Constantiou and Kallinikos, 2015; Olbrich, 2014; Van den Broek and Van Veenstra, 2015).”
The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity (2019, background): “…have, by contrast, predominantly painted a “rosy and often naively optimistic and ultimately rationalistic picture of the business role and functions of big data” (Constantiou and Kallinikos 2015, p. 53), praising the technological sophistication and usefulness of algorithm-based decision-making.”
Big data analytics capabilities: a systematic literature review and research agenda (2017, background): “A growing number of ﬁrms are focusing their investments on big data analytics (BDA) with the aim of deriving important insights that can ultimately provide them with a competitive edge (Constantiou and Kallinikos 2015).”
How Big Data Analytics Enables Service Innovation: Materiality, Affordance, and the Individualization of Service (2018, background): “These insights have the potential to create competitive advantage [6, 14, 32], and BDA is expected to support customer-oriented service innovation in a number of ways [34, 58].”
Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019, unknown): “To obtain any meaningful theoretical and practical implications, as well as to identify critical areas for future research, it is important to understand how the core constituents of big data analytics are shaped and how they result in business value (Constantiou & Kallinikos, 2015).”
Algorithms (and the) everyday (2017, background): “Constantiou and Kallinikos (2015, p. 54) note that, Although certainly important, algorithms are the last step in a complex chain of data operations, data structures and architectures that harvest and make data available for aggregation and computation … .”
Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2020, background): “A growing number of firms are accelerating the deployment of their big data analytics initiatives with the aim of developing critical insight that can ultimately provide them with a competitive advantage [2].”