Resource based theory in operations management research
By Michael A. Hitt, Kai Xu, Chris Carnes. 2016
517 citations recorded by the source corpus.
Subfields: Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/03b90dfdcbc61aa8533deadd81a73e1d136f967f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Angappa Gunasekaran
- Rameshwar Dubey
- Stephen J. Childe
- Thanos Papadopoulos
- Samuel Fosso Wamba
- Shivam Gupta
- Yogesh Kumar Dwivedi
- Devaki Rau
In Strategy and Management
- Angappa Gunasekaran
- Rameshwar Dubey
- Stephen J. Childe
- Thanos Papadopoulos
- Samuel Fosso Wamba
- Shivam Gupta
- Mikko Ketokivi
- Yogesh Kumar Dwivedi
Citations in the corpus
- Operations management and the resource based view: Another view (2016, background): “Hitt et al. (2015) counter some of this reasoning by combining RBV reasoning with other reasoning such as that by Sirmon et al.”
- Transaction Cost Economics As a Theory of Supply Chain Efficiency (2020, background): “The objective is to explain and predict heterogeneity among these entities, and its implications for differential economic performance (Bromiley and Rau 2016, Hitt et al. 2016, Ketokivi 2016).”
- The debate on flexibility of environmental regulations, innovation capabilities and financial performance : a novel use of DEA (2018, background): “This theory was originally developed to help understand how a firm can exploit its internal resources for sustained competitive advantages (Yang and Konrad, 2011; Hitt et al., 2016).”
- Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation (2024, unknown): “This perspective has been widely acknowledged and applied in various fields, including SCOM (Fan et al. 2022; Hitt, Xu, and Matz Carnes 2016; Ketchen Jr, Wowak, and Craighead 2014; Schroeder, Bates, and Junttila 2002).”
- Big data and predictive analytics for supply chain and organizational performance (2017, methodology): “Finally, this research draws on the literature that highlights the role of top management in building capabilities through the orchestration of resources (Chadwick et al., 2015), thereby assisting firms to achieve competitive advantage (Hitt et al., 2015; Sirmon et al., 2007).”
- Achieving superior organizational performance via big data predictive analytics: A dynamic capability view (2019, background): “Despite increasing interest in BDPA, only a small amount of literature is available (Akter et al., 2016; Dubey et al., 2019a; Gupta & George, 2016; Hitt et al., 2016; Teece et al., 1997; Wamba et al., 2017).”