Conduct a master's thesis benchmarking AI-enabled service sourcing across multiple industries. Research use cases, capabilities, success factors, and barriers through literature reviews, industry analysis, company examples, and stakeholder interviews. Develop a maturity model, assess NMS Sourcing's current maturity, prioritize AI opportunities based on value and feasibility, and recommend an implementation roadmap with value measurement. Communicate findings clearly to academic and business audiences.
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About this opportunity:
Are you interested in exploring how Artificial Intelligence can improve the efficiency and quality of service sourcing across industries?
This master's thesis focuses on benchmarking how telecom, IT managed services, field services, construction, logistics, and other service-intensive industries use AI in sourcing and procurement. The study will identify common use cases, capabilities, success factors, and barriers, and develop a practical maturity model for AI-enabled service sourcing.
The thesis will assess the current position of NMS Sourcing and recommend which AI opportunities could create the greatest value through improved cost transparency, supplier intelligence, bid evaluation, risk management, standardization, and decision support.
What you will do:
• Review academic literature, industry research, and documented company examples• Benchmark AI-enabled sourcing practices across three to five comparable industries• Interview sourcing, business, analytics, and digital-transformation stakeholders• Develop a maturity model for AI-enabled service sourcing• Assess the current maturity and priority needs of NMS Sourcing• Prioritize AI use cases based on business value, feasibility, data readiness, and adoption potential• Recommend a practical roadmap for implementation and value measurement
The skills you bring:
• Strong analytical and academic research skills• Interest in procurement, sourcing, supply chain, and digital transformation• Understanding of Artificial Intelligence, Generative AI, or data analytics• Ability to conduct interviews and synthesize qualitative and quantitative information• Experience with maturity models, business-process analysis, or benchmarking is an advantage• Ability to communicate complex findings clearly to both academic and business audiences• Curiosity, structured problem-solving, and a practical mindset
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 790824
About this opportunity:
Are you interested in exploring how Artificial Intelligence can improve the efficiency and quality of service sourcing across industries?
This master's thesis focuses on benchmarking how telecom, IT managed services, field services, construction, logistics, and other service-intensive industries use AI in sourcing and procurement. The study will identify common use cases, capabilities, success factors, and barriers, and develop a practical maturity model for AI-enabled service sourcing.
The thesis will assess the current position of NMS Sourcing and recommend which AI opportunities could create the greatest value through improved cost transparency, supplier intelligence, bid evaluation, risk management, standardization, and decision support.
What you will do:
• Review academic literature, industry research, and documented company examples• Benchmark AI-enabled sourcing practices across three to five comparable industries• Interview sourcing, business, analytics, and digital-transformation stakeholders• Develop a maturity model for AI-enabled service sourcing• Assess the current maturity and priority needs of NMS Sourcing• Prioritize AI use cases based on business value, feasibility, data readiness, and adoption potential• Recommend a practical roadmap for implementation and value measurement
The skills you bring:
• Strong analytical and academic research skills• Interest in procurement, sourcing, supply chain, and digital transformation• Understanding of Artificial Intelligence, Generative AI, or data analytics• Ability to conduct interviews and synthesize qualitative and quantitative information• Experience with maturity models, business-process analysis, or benchmarking is an advantage• Ability to communicate complex findings clearly to both academic and business audiences• Curiosity, structured problem-solving, and a practical mindset
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 790824
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