The Effect of Organizational Structure on Communication and Decision-Making Processes in the Oman Logistics Sector

Abstract

An organisational structure is how a business organises its staff to represent the different layers of management. This information can be displayed in the form of a chart. There are two main types of organisational structure used in businesses – hierarchical (or tall) and flat. Organisational structure enables quick decision-making and better coordination and communication among employees resulting in enhanced productivity. It is no secret that data-driven decision-making is critical to business success. In fact, a recent Market Research Future snapshot reports the global machine learning market, which has significantly advanced the way companies make data-driven decisions, will grow from $7.3 billion in 2020 to $30.6 billion in 2024. This is good news for the supply chain and logistics industry, as greater adoption of AI and machine learning technologies improve insights and process automation. However, supply chain decision-makers don't have the time or resources to plough through mountains of data; they need results. They need real-time visibility into their transportation networks, risk prediction analytics, forecasting, and easily accessible reports. Despite the importance of the organisational structure in communication and decision-making processes, it sometimes negatively affects organisations, so this study was done to analyse the negative effects resulting from the organisational structure in communication and decision-making processes.