All Outputs (6)

Understanding big data driven decision making in British financial organisations (2022)
Presentation / Conference
financial organisations. Presented at UK Academy for Information Systems Conference Proceedings 2022, Virtual

Although big data can enhance financial decision-making in organisations (e.g., predicting financial performance), the epistemological argument of big data is that knowledge or truth which relies on (big) data needs to first be generated to make key... Read More about Understanding big data driven decision making in British financial organisations.

Cultural challenges of ERP implementation in Middle-Eastern oil & gas sector: an action research approach (2022)
Journal Article
Ali, M., Edghiem, F., & Alkhalifah, E. (2022). Cultural challenges of ERP implementation in Middle-Eastern oil & gas sector: an action research approach. Systemic Practice and Action Research, 36, 111-140. https://doi.org/10.1007/s11213-022-09600-4

The purpose of this paper was to examine the cultural barriers that existed at various stages of the Enterprise Resource Planning (ERP) implementation process, using the Middle-Eastern oil and gas sector as a case study. Due to a variety of cultural... Read More about Cultural challenges of ERP implementation in Middle-Eastern oil & gas sector: an action research approach.

Artificial Intelligence (AI) as a decision-making tool to control crisis situations (2022)
Book Chapter
Ali, M., & Trevor Wood-Harper, A. (2022). Artificial Intelligence (AI) as a decision-making tool to control crisis situations. In Future Role of Sustainable Innovative Technologies in Crisis Management (71-83). Information Science Reference. https://doi.org/10.4018/978-1-7998-9815-3.ch006

Recent events have emphasised the critical nature of making key decisions with the support of innovative technologies to manage crises. This chapter will review pertinent literature on crisis management and existing categorizations or typologies befo... Read More about Artificial Intelligence (AI) as a decision-making tool to control crisis situations.

A systematic review of information technologies to assist policymaking in crisis management (2022)
Book Chapter
Ali, M. (2022). A systematic review of information technologies to assist policymaking in crisis management. In Future Role of Sustainable Innovative Technologies in Crisis Management (1-12). Information Science Reference. https://doi.org/10.4018/978-1-7998-9815-3.ch001

The COVID-19 crisis has engulfed several countries, leaving policymakers perplexed and unprepared to deal with the situation. Choosing the most appropriate course of action has become more challenging as a result of the infection and its effects on t... Read More about A systematic review of information technologies to assist policymaking in crisis management.

Future role of sustainable innovation technologies in crisis management (2022)
Book
Ali, M. (2022). Future role of sustainable innovation technologies in crisis management. IGI. https://doi.org/10.4018/978-1-7998-9815-3

The increasing use of innovative technologies by global businesses has sparked debate about their application in crisis resolution. Resolution tools can be used by global businesses to manage various types of crisis situations, such as natural disast... Read More about Future role of sustainable innovation technologies in crisis management.

Application of big data and machine learning approaches to improve decision making during crises (2022)
Book Chapter
Ali, M. (2022). Application of big data and machine learning approaches to improve decision making during crises. In Future Role of Sustainable Innovative Technologies in Crisis Management (59-70). Information Science Reference. https://doi.org/10.4018/978-1-7998-9815-3.ch005

As an occurrence that jeopardises vital national interests or the basic needs of the populace, a crisis necessitates rapid decision-making and coordination between various departments and agencies in order to resolve it effectively. As a result, cris... Read More about Application of big data and machine learning approaches to improve decision making during crises.