By Heider Jeffer
Proposed Research Focus: Enabling Digital Transformation and Data-Driven Business Models for Small and Medium Enterprises (SMEs)
Small and medium enterprises (SMEs) play a vital role in driving economic growth and innovation. However, they face significant challenges in adopting and integrating cutting-edge technologies into their business models, particularly in the context of digital transformation. This research aims to explore how SMEs can overcome these challenges by leveraging advanced informatics frameworks and technologies such as artificial intelligence, cloud computing, and data analytics to create sustainable business value.
- Enhance Digital Maturity: Develop frameworks for assessing and improving SMEs' digital maturity, enabling them to transition towards data-driven innovative organizations.
- Empower Technological Integration: Investigate how SMEs can adopt and integrate advanced technologies, including AI and IoT, into their key business processes for improved operational efficiency.
- Foster Business Model Innovation: Design innovative, technology-driven business models that enhance profitability and competitive advantage.
- Bridge Research and Practice: Collaborate with industry stakeholders to ensure practical applicability of research outcomes, particularly in the context of the Graduate School of Advanced Technology and Enterprising (GATE).
- What are the critical factors influencing digital transformation readiness among SMEs?
- How can SMEs use data as a strategic resource to innovate their business processes, products, and services?
- What frameworks can be developed to assist SMEs in integrating complex technologies into their operational models effectively?
The proposed research will employ a mixed-methods approach, combining qualitative and quantitative methodologies.
- Literature Review: Conduct a comprehensive review of existing research on digital transformation and informatics in SMEs.
- Case Studies: Collaborate with local and regional SMEs to gather real-world insights into their challenges and successes in adopting digital technologies.
- Data Analysis: Utilize tools such as Python, R, and NVivo to analyze qualitative and quantitative data, focusing on patterns of technological integration and innovation.
- Framework Development: Design frameworks and prototypes for digital business model innovation and test them in SME environments.
- Evaluation: Evaluate the impact of proposed solutions on SMEs' operational efficiency, profitability, and long-term sustainability using statistical and computational methods.
- Theoretical Contribution: Provide novel insights into how SMEs can leverage informatics to navigate the complexities of digital transformation.
- Practical Tools: Deliver actionable frameworks and tools for SMEs to adopt and implement data-driven strategies and technologies.
- Policy Recommendations: Offer evidence-based recommendations for policymakers to support SMEs in their digital innovation efforts.
This research aligns closely with the mission of the Graduate School of Advanced Technology and Enterprising (GATE) to bridge research and practical application for SMEs. By focusing on real-world challenges faced by SMEs, this work will contribute to Linnaeus University’s broader vision of fostering sustainable societal development through innovative research and collaboration with industrial stakeholders.
| Year | Activities |
|---|---|
| Year 1 | Literature review, case study identification, and initial data collection. |
| Year 2 | Framework design and prototype development. |
| Year 3 | Testing, evaluation, and refinement of frameworks and tools. |
| Year 4 | Final analysis, dissemination of findings, and thesis completion. |
This research will provide SMEs with the knowledge and tools needed to achieve digital transformation and business innovation, addressing their unique challenges in integrating advanced technologies. Through rigorous academic research and practical collaboration, the project aims to make a meaningful impact on the digital maturity and competitiveness of SMEs, in line with the objectives of Linnaeus University and GATE.
“I authorize the processing of my personal data pursuant to art. 13 of Legislative Decree no. 196 of 30 June 2003 - ‘Personal Data Protection Code’ and art. 13 of GDPR 679/16 - ‘European Regulation on the Protection of Personal Data’.”
Heider Jeffer
30th November 2024