Sunil Mithas's research while affiliated with University of South Florida and other places

Publications (7)

Article
Empirical research in operations management (OM) has made rapid strides in the last 30 years, and increasingly, OM researchers are leveraging methods used in the econometrics and statistics literature for assessing the causal effects of interventions. We discuss the two key challenges in assessing causality with observational data (i.e., baseline b...
Article
Purpose This paper advances a research agenda for service researchers at the intersection of healthcare and information technologies to improve access to quality healthcare at affordable prices. The article reviews key trends to provide an agenda for research focusing on strategies, governance and management of key service processes. Design/method...
Article
The rise of AI raises new questions about AI strategy. How should firms formulate and execute their digital or information technology (IT) strategies and business strategies embracing opportunities that AI present? Should firms formulate a separate AI strategy, or should AI strategy be part of their overarching digital strategy? In many ways, these...
Article
Increasingly, firms across many industries are grappling with the challenge of declining returns to research and development (R&D). In this study, we investigate if and how information technology (IT) can help firms deal with this problem. We theorize that IT systems can help firms to cope with the complexity and inefficiency in managing innovation...

Citations

... F I G U R E 3 Mapping technologies with key operations management (OM) concerns emerging technologies, with careful attention to causality and endogeneity issues (Gupta et al., 2006;Ho et al., 2017;Ketokivi & McIntosh, 2017;Roth & Rosenzweig, 2020). However, the emphasis on causality does not need to be too narrow or overemphasize a particular way of looking at causality as implicit in counterfactual or potential outcome approaches (Mithas et al., 2022a;Mithas et al., 2022b). Researchers in OM should also consider other ways of assessing causality such as qualitative comparative approaches that use a different notion of causality (based on necessary and sufficient conditions) and a set-theoretic configurational logic leveraging Boolean algebra (Mahoney et al., 2013;Park & Mithas, 2020). ...
... Figure 1 parses Industry 4.0 technologies in a historical context, mapping and contrasting them with previous generations of technologies (see Singhal 2022a, 2022b for an insightful history of OM). We draw on prior work (Agrawal et al., 2020;Mithas et al., 2020) to parse emerging Industry 4.0 technologies in terms of the following functionalities: (1) the ability to sense the environment (sense), (2) the ability to analyze information (analyze), (3) the ability to collaborate with others within or across firms (collaborate), and (4) the ability to automatically complete tasks (execute). ...
... In the Indian market, there are 12 Electric cars and 195 electric scooters circulated in different parts of India. The best part of these Electronic vehicles is that it is supported by A. l feature that makes an automatic driving experience and along with that it supports navigation systems and behaviour monitoring (Mithas et al., 2020). The algorithm of Artificial Intelligence in Electric vehicles provides real-time driving monitoring and provides optimization of the energy used, which would help for the extra driving range and give riders minimal panic attacks against the low battery. ...
... On this basis, we first up-adjust the original consistency and PRI cutoff value of truth table analysis to 0.95 and 0.76, respectively, and the number of configurations are reduced to five; C2 does not appear. Second, we adjust the calibration anchor to 90%, 50%, and 10% of the data distribution (Campbell et al., 2016), and 75%, 50%, and 25% (Park and Mithas, 2020). The original consistency and PRI consistency thresholds are appropriately adjusted according to the distribution of the truth table, and the number of configurations is further reduced. ...
... Globalization and rapid technological changes are forcing firms to pay more attention to innovation in order to grow and survive in an increasingly dynamic environment (Prasad & Junni, 2016). Investing in new technologies, products or services is a complex decision and often leads to organizational commitments that change business processes (Ravichandran et al., 2017). This can be risky as change brings new forms of uncertainty, leading to the involvement of top management in decision making for critical processes. ...