With big data analytics growing rapidly in popularity, academics and practitioners have been considering the means through which they can incorporate the shifts these technologies bring into their competitive strategies. Drawing on the resource‐based view, the dynamic capabilities view, and on recent literature on big data analytics, this study examines the indirect relationship between a big data analytics capability (BDAC) and two types of innovation capabilities: incremental and radical. The study extends existing research by proposing that BDACs enable firms to generate insight that can help strengthen their dynamic capabilities, which in turn positively impact incremental and radical innovation capabilities. To test their proposed research model, the authors used survey data from 175 chief information officers and IT managers working in Greek firms. By means of partial least squares structural equation modelling, the results confirm the authors’ assumptions regarding the indirect effect that BDACs have on innovation capabilities. Specifically, they find that dynamic capabilities fully mediate the effect on both incremental and radical innovation capabilities. In addition, under conditions of high environmental heterogeneity, the impact of BDACs on dynamic capabilities and, in sequence, incremental innovation capability is enhanced, while under conditions of high environmental dynamism the effect of dynamic capabilities on incremental innovation capabilities is amplified.

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Corporate environmental disclosure can be of strategic value for firms as they project their aspired image and seek to gain recognition and legitimacy. While the importance of environmental disclosure has been thoroughly documented and is understood, research has shed considerably less light on the forces that drive it. In this paper, we set out to explain what determines corporate environmental disclosure. In drawing upon the instrumental stakeholder theory in conjunction with institutional theory, we hypothesize that a firm's pro-social inclination and national institutional factors provide a model for explaining the level of environmental disclosure that a firm applies. To frame and validate this model, we draw data from the Thomson Reuters ASSET4 database. We find that a firm's pro-social orientation has a positive effect on the scale of environmental disclosure. Specifically, the results confirm the proposition that the environmental disclosure of the firm is in line with its pro-social orientation, which manifests as stable characteristic over time. We also show that a country's environmental performance index, openness to international trade and regulatory quality positively impact environmental disclosure, while a high level of corruption affects it negatively.

Secrecy and “social cocooning” are critical mechanisms allowing the normalization of corruption within organizations. Less studied are processes of normalization that occur when corruption is an “open secret.” Drawing on an empirical study of Greek public-sector organizations, we suggest that a second-order normalization process ensues among non-corrupt onlookers both inside and beyond the organization. What is normalized at this level is not corruption, but its tolerance, which we disaggregate into agent-focused tolerance and structure-focused tolerance. Emphasizing the importance of non-corrupt bystanders, we claim that second-order normalization helps corruption persist in situations where its presence is openly acknowledged. This adds an important new dimension to normalization theory and we unpack its implications for both future research and practice in this area.