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Drawing on indigenous theory of Ibn Khaldun, the rise and fall of States, this paper explores the agency of women entrepreneurs in family business in Bahrain and the underlying enablers in supporting and facilitating the exercise of this agency. This study attempts to move beyond the Western-centric studies to reflect and bring to light the unique institutional settings of the Gulf States.

The research builds on a rich qualitative single case of a family business based in Bahrain. The single case study methodology was motivated by the potential for generating rich contextual insights. Such an approach is particularly valuable to gain a more holistic and deeper understanding of the contextualized phenomenon and its complexity.

In this study the authors show how women entrepreneurs take two different paths to enter and become involved in the family business, the barriers they are subjected to and the active role they play in dismantling the challenges to the extent that they become the main mediators between the family business and central institutions in society.

By incorporating indigenous theory with Western family business concepts, the study extends existing understanding of women entrepreneurs in family business by underscoring the agency that women entrepreneurs have in “doing context” and the role that women play in strengthening common cause and destiny within the family and the business by building and drawing on different forms of loyalty.

Although businesses continue to take up artificial intelligence (AI), concerns remain that companies are not realising the full value of their investments. The study aims to provide insights into how AI creates business value by investigating the mediating role of Business Process Management (BPM) capabilities.

The integrative model of IT Business Value was contextualised, and structural equation modelling was applied to validate the proposed serial multiple mediation model using a sample of 448 organisations based in the EU.

The results validate the proposed serial multiple mediation model according to which AI adoption increases organisational performance through decision-making and business process performance. Process automation, organisational learning and process innovation are significant complementary partial mediators, thereby shedding light on how AI creates business value.

In pursuing a complex nomological framework, multiple perspectives on realising business value from AI investments were incorporated. Several moderators presenting complementary organisational resources (e.g. culture, digital maturity, BPM maturity) could be included to identify behaviour in more complex relationships. The ethical and moral issues surrounding AI and its use could also be examined.

The provided insights can help guide organisations towards the most promising AI activities of process automation with AI-enabled decision-making, organisational learning and process innovation to yield business value.

While previous research assumed a moderated relationship, this study extends the growing literature on AI business value by empirically investigating a comprehensive nomological network that links AI adoption to organisational performance in a BPM setting.