Zulfadli Zulfadli

Information School

PhD researcher

Zulfadil Zulfadil
Profile picture of Zulfadil Zulfadil
zzulfadli1@sheffield.ac.uk

Full contact details

Zulfadli Zulfadli
Information School
The Wave
2 Whitham Road
ºù«Ӱҵ
S10 2AH
Profile

Prior to join the Information School, I was a professional with 17 years of solid experience in the IT Services and Telecommunication Industry, particularly in the area of IT Strategy and Enterprise Architecture (TOGAF platform), Business and Requirement Analysis, IT Solutions Architecture, Systems and Application Integration and Digital Transformation. I have worked as Technical/Software Architect, Solutions Architect and Enterprise Architect in various multinational consultancy companies such as IBM, TCS and Tech Mahindra.

Technically, I was work with several technologies such as Mobile Financial Services, Digital Payment Solutions, Service Oriented Architecture and various Telco BSS applications such as Billing System, Mediation, CRM and Data Warehouse. I was typically held a client-facing role across a wide range of industries, including Oil & Gas, Financial Services, Mining, Industrial and Transportation Services.

I hold a Bachelor’s degree in Computer Science from Gadjah Mada University, Indonesia and a Master’s degree in Telecommunication Management from the University of Indonesia.


PhD project

Title: "Predicting, Measuring and Optimizing Technology Start-ups Multiplier Effects on Micro and Small Business Enterprises (MSMEs) using an Agent-Based Modelling"

My research attempts to model the complex interactions between start-ups and MSMEs players; between start-ups and other stakeholders within the ecosystem such as technology provider, investors and regulator; and between the start-ups itself in multiple scenarios. It will then measure the effects of those interactions on MSMEs development over a certain period. 

The agent-based model (ABM) of start-ups interaction will simulate quantified impact to the MSMEs particularly the increase of transaction and employment in this sector. The purpose of the model and the simulation is to gain better prediction and measurement of technology start-ups positive impacts on country level economy and to discover the ideal composition percentage of start-ups types that will trigger maximum multiplier effects. This will aid the policy maker in determining ideal strategy for the country’s digital economy advancement.

Supervisors

Research interests

I am interested in multi-disciplinary research, particularly within the areas of Information Systems Management, ICT and Digital Innovations, Digital Transformation, E-Commerce, and Innovation Management. I am excited about issues connected with Information Technology such as ICT/IoT-enabled business models and ICT implications for the global digital economy, as well as the use of multi-disciplinary perspectives to rethink ways in which innovation and information systems lead to transformative change.

Grants

GTA Scholarship Award from ºù«Ӱҵ (under UK Research & Innovation scheme)