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This study aims to explore the effects of remote work on employee productivity and innovation and how these effects are moderated by knowledge sharing and digital business intensity.

The study draws on survey data from a random sample of 231 remote workers across the USA. The analysis and empirical validation of the research model used partial least square.

The results demonstrate a positive association between remote work and employee productivity. In addition, the findings present empirical support for hitherto anecdotal evidence regarding the impact of remote work on innovation. In particular, the study notes that knowledge sharing and digital business intensity amplified the positive relationship between remote work and employee productivity. The results further revealed that the positive link between remote work and innovation was stronger in the presence of knowledge sharing.

The study contributes to the ongoing inquiry into remote work by drawing on the knowledge-based view as an underlying lens to understand the consequence of remote work. Identifying knowledge sharing and digital business intensity as moderators of the linkage between remote work and employee productivity is an important contribution, especially when researchers and practitioners are trying to understand the business value of working remotely. Furthermore, to the best of the authors’ knowledge, this study is the first to identify knowledge sharing as a key mechanism that strengthens innovation outcomes in a remote work environment.

This paper aims to analyze the effect of data breaches – whose concerns and implications can be legal, social and economic – on companies’ overall performance.

Information on data breaches was collected from online compilations, and financial data on breached companies was collected from the Mergent Online database. The financial variables used were related to profitability, liquidity, solvency and company size to analyze the financial performance of the breached companies before and after the data breach event. Nonfinancial data, such as the type and the size of the breaches, was also collected. The data was analyzed using multiple regression.

The results confirm that nonmandatory information related to announcements of data breaches is a signal of companies’ overall performance, as measured by profitability ratios, return on assets and return on equity. The study does not confirm a relationship between data breaches and stock market reaction when measuring quarterly changes in share prices.

The main limitation of the study relates to ratio and trend analyses. Such analyses are commonly used when researching accounting information. However, they do not directly reflect the companies’ conditions and realities, and they rely on companies’ released financial reports. Another limitation concerns the confounding factors. The major confounding factors around the data breaches’ dates were identified; however, this was not enough to assure that other factors were not affecting the companies’ financial performance. Because of the nature of such events, this study needs to be replicated to include specific information about the companies using case studies. Therefore, the authors recommend replicating the research to validate the article’s findings when each industry makes more announcements available.

To remediate the risks and losses associated with data breaches, companies may use their reserved funds.

Company data breach announcements signal internal deficiencies. Therefore, the affected companies become liable to their employees, customers and investors.

The paper contributes to both theory and practice in the areas of accounting finance, and information management.