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Although big data analytics (BDA) have great benefits for higher education institutions (HEIs), due to lack of sufficient evidence on how BDA investment can pay off, it is tough for HEIs practitioners to realize value from such adoption. The purpose of this paper is to propose a big data academic and learning analytics enabled business value model to explain BDA potential benefits and business value which can be obtained by developing such analytics capabilities in HEIs.

The study examined 47 case descriptions from 26 HEIs to investigate the causal association between the BDA current and potential benefits and business value creation path for big data academic and learning analytics success in HEIs.

The pressure of compliance with all legal and regulatory requirements and competition had pushed HEIs hard to adopt BDA tools. However, the study found out that application of risk and security and predictive analytics to higher education fields is still in its infancy. Using this theoretical model, the results provide new insights to higher education administrators on ways to create BDA capabilities for HEIs transformation and suggest an empirical foundation that can lead to more thorough analysis of BDA implementation.

A distinctive theoretical contribution of this study is its conceptualization of understanding business value from BDA in the typical setting of higher education. The study provides HEIs with an all-inclusive understanding of BDA and gives insights on how it helps to transform HEIs. The new perspectives associated with the big data academic and learning analytics enabled business value model will contribute to future research in this area.

The purpose of this paper is to determine the impact of announcements regarding information and communication technologies (ICTs)‐enabled offshoring on the share prices of public companies.

The study is carried out by means of an event study.

The finding from this research is that investors do not tend to reward offshoring announcements. It is most likely that the value of the firm will be perceived as unchanged or if there is a reaction, it is most likely to reduce the value of the firm. A positive relation between size of firm and the size of the offshoring contract is found. Also, US investors are found to be more likely to react negatively than UK investors.

This study extends the use of event studies in the information systems domain to ICT‐enabled offshoring. Owing to the relatively nascent state of offshoring, and consistent with previous event studies, the data set used in this study is relatively modest.

Managers in many types of organisations are currently undertaking or considering offshoring, this study will enable them to understand the possible reactions of shareholders and other stakeholders.

This study provides an empirical contribution by undertaking the first event study of offshoring announcements. It is also one of the very few event studies that considers both UK and US‐based companies. Its use of transaction cost economics perspective also adds to the theoretical understanding of offshoring, by demonstrating that investors appear to consider increased transaction costs involved in offshoring will outweigh lower purchasing or production costs.