Our Research Groups
You become part of a collaborative and supportive network of researchers with similar interests. Research groups can bring together academics from different career stages, disciplines and institutions, keeping everyone up to date on both published and unpublished research.
Aims & Scope
The aim of the research group is to collaboratively work into different facets of business sustainability from the environmental, social and governance perspectives in order to address the challenges in sustaining the business in the course of maximizing the values for stakeholders. Systems modelling in sustainable business: For conceptualizing the complexities in sustainable business with operational details using a holistic worldview.
- Marketing and information system: to inquire into the agenda of sustainable business operations.
- Environmental, social and governance perspectives: for understanding the core of the challenges in sustainable business management.
- Innovation and business development: in business enterprises for their sustainable growth amidst the practical challenges.
- Sustainable supply chain management: to include an important dimension of sustainability outside the boundary of individual business.
- Corporate finance and economic growth modelling: incorporating the importance of corporate financial policies in the business and economic growth policies of the government in the inquiry of sustainable business management.
Aims & Scope
To identify alternative business models and market positioning strategies for sustainable tourism to realize Oman’s vision 2040 and the sustainable development goals.
- Assessing Oman’s potential to attract tourists from India.
- Classifying and categorizing Indian tourists’ needs.
- Combining and combing business models and travelers’ profiles to produce an exceptional menu of unique tourism experiences and positive emotions.
- Suggesting suitable market positioning strategies in line with the Sultanate of Oman’s 2040 strategy.
This research group provides a focal point for collaboration between leading scholars, business practitioners and policy makers to explore, understand and respond to the corporate sustainability challenges related to the corporate governance and corporate social responsibility in business organization.
- Corporate social responsibility: Including customer, employees, creditors, shareholders, suppliers, and society at large based CSR for the sustainable businesses.
- Environmental management policies: This theme as a part of broader CSR includes environmental management practices, initiatives, environmental performance, covering the SDGs of UN related to environment.
- Sustainable Reporting.
Aims & Scope
The Digital Innovation and Social Value (DISV) research group aims to promote research in digital business and how digitalization impact on organizations and businesses globally. In addition, the research group focuses on driving people development and elevating digital literacy across diverse stakeholders using e-services and business information systems. The group also uses the social return on investment (SROI) approach to evaluate the transformation of communities and facilitates stakeholders to measure the social added value that digitalization and innovation bring to communities.
- Digital Business Interventions: Focusing on business between people with technology as an interface/enabler in the midst of an avalanche of new technologies and digital fascination that includes the digital transformation, holistic business optimization, disruption and integration/convergence and social business.
- Organizational Transformation and People Development: The emphasis is on transforming and changing the existing corporate culture, as well as developing human assets within the organization, in order to gain a competitive advantage or address a significant challenge.
- Digital Literacy and Community Transformation: Focus on empowering communities to strengthen their digital literacy skills and providing resources to guide learners, educators, and caregivers in acquiring the skills they need to be successful, empowered, and fulfilled citizens.
- Social Return on Investment (SROI): The emphasis is on measuring social interventions among diverse stakeholders and assists organizations in understanding and quantifying the social, environmental, and economic value they create.
The Sustainable Development research group undertakes research to advance knowledge and provide solutions to local, national, and international sustainability issues. It aims to contribute in a variety of ways to the consolidation of policymakers' efforts in the field of sustainable development. Its research activities focus on issues related to sustainable development, including but not limited to climate change, energy, poverty, inequality, and conservation, among others. To assist policymakers in achieving the Sustainable Development Goals (SDGs), the group undertakes high-quality research by bringing together government, businesses, non-governmental organizations, and local communities. Moreover, this group will align it research activities with the Oman Vision 2040 in terms of reducing poverty, inequality, sustainable economic growth and development.
- Climate change and energy – research that is related to energy economics and environmental economics.
- Poverty and inequality – Research issues related to global challenges, such as poverty and inequality.
- Green finance – research related to financial activity that's been created to ensure a better environmental outcome.
- Data-driven modelling and optimization – Issues related with mathematical modeling and optimization techniques for sustainable growth.
The aim of this research group is to optimize modern artificial intelligence algorithms that used in data analytics and big data processing to extract knowledge and insights, and apply knowledge and actionable insights from data across a broad range of application domains. This process can be applied by involving pre-processing, analysis, visualization, optimization and prediction. The idea is to examine the optimized algorithms using big data and data analytics, then to apply them into real based applications.
- Investigate on the complex algorithms used in BD, IOT, DA, and AI – Including all complex algorithms used in CNN, expert systems, and so on.
- Optimize the current algorithms using several optimization techniques - using different optimization algorithms or by finding novel ideas to optimize the current used algorithms.
- Examine the optimized algorithms using big data analytics and other data analysis modules – including several Machine learning techniques.
- Apply different tested algorithms in real based systems - of different aspects of life problems.