Quo vadis, dynamic capabilities? A content-analytic review of the current state of knowledge and recommendations for future research

O Schilke, S Hu, CE Helfat - Academy of management annals, 2018 - journals.aom.org
Although the dynamic capabilities perspective has become one of the most frequently used
theoretical lenses in management research, critics have repeatedly voiced their frustration …

The evolution of resource-based inquiry: A review and meta-analytic integration of the strategic resources–actions–performance pathway

L D'Oria, TR Crook, DJ Ketchen Jr… - Journal of …, 2021 - journals.sagepub.com
Understanding why some firms outperform others is central to strategy research. The
resource-based view (RBV) suggests that competitive advantages arise due to possessing …

Algorithmic bias in data-driven innovation in the age of AI

S Akter, G McCarthy, S Sajib, K Michael… - International Journal of …, 2021 - Elsevier
Data-driven innovation (DDI) gains its prominence due to its potential to transform
innovation in the age of AI. Digital giants Amazon, Alibaba, Google, Apple, and Facebook …

Blockchain-supported business model design, supply chain resilience, and firm performance

G Li, J Xue, N Li, D Ivanov - Transportation Research Part E: Logistics and …, 2022 - Elsevier
Supply chain resilience (SCR) is imperative for operation and performance continuity in the
presence of disruptions. One of the important SCR capabilities is end-to-end visibility which …

Intellectual capital, knowledge management and competitive advantage: a resource orchestration perspective

SU Rehman, S Bresciani, K Ashfaq… - Journal of Knowledge …, 2022 - emerald.com
Purpose This study aims to examine the influence of intellectual capital and knowledge
management on competitive advantage with the mediation role of innovativeness in the …

Digital supply chain management in the COVID-19 crisis: An asset orchestration perspective

F Ye, K Liu, L Li, KH Lai, Y Zhan, A Kumar - International Journal of …, 2022 - Elsevier
Although many firms are actively deploying various digital technology (DT) assets across
their supply chains to mitigate the negative impact of the COVID-19 pandemic on operations …

Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study …

R Dubey, A Gunasekaran, SJ Childe, DJ Bryde… - International journal of …, 2020 - Elsevier
The importance of big data analytics, artificial intelligence, and machine learning has been
at the forefront of research for operations and supply chain management. Literature has …

[HTML][HTML] Algorithmic bias in machine learning-based marketing models

S Akter, YK Dwivedi, S Sajib, K Biswas… - Journal of Business …, 2022 - Elsevier
This article introduces algorithmic bias in machine learning (ML) based marketing models.
Although the dramatic growth of algorithmic decision making continues to gain momentum in …

Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context

R Dubey, DJ Bryde, C Blome, D Roubaud… - Industrial Marketing …, 2021 - Elsevier
The COVID-19 pandemic has disrupted global supply chains and exposed weak links in the
chains far beyond what most people have witnessed in their living memory. The scale of …

Humans and technology: Forms of conjoined agency in organizations

A Murray, JEN Rhymer, DG Sirmon - Academy of Management …, 2021 - journals.aom.org
Organizations are increasingly deploying technologies that have the ability to parse through
large amounts of data, acquire skills and knowledge, and operate autonomously. These …