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24 case(s) found.
This case describes a field experiment to test the principles of incentive design conducted at Grab, one of Southeast Asia’s largest mobile technology companies that connects millions of consumers to millions of drivers.
Reference 6639
Published 09 Feb 2021
Length 20 page(s)
Topic Strategy
Region Asia
Industry Transportation/Trucking/Railroad
This case describes a field experiment to test the principles of incentive design conducted at Grab, one of Southeast Asia’s largest mobile technology companies that connects millions of consumers to millions of drivers.
This case describes a field experiment to test the principles of incentive design conducted at Grab, one of Southeast Asia’s largest mobile technology companies that connects millions of consumers to millions of drivers.
Reference 6639
Published 09 Feb 2021
Length 5 page(s)
Topic Strategy
Region Asia
Industry Transportation/Trucking/Railroad
This case describes a field experiment to test the principles of incentive design conducted at Grab, one of Southeast Asia’s largest mobile technology companies that connects millions of consumers to millions of drivers.
The case guides students to resolve a number of questions when embracing a new technology, with a focus on Blockchain, a radical new technology that has attracted a lot of hype although the adoption rate remains low among firms. Consequently, there are few successful business applications and many challenges, uncertainties and risks to be overcome.
The case emphasizes two aspects of Blockchain.
The case guides students to resolve a number of questions when embracing a new technology, with a focus on Blockchain, a radical new technology that has attracted a lot of hype although the adoption rate remains low among firms. Consequently, there are few successful business applications and many challenges, uncertainties and risks to be overcome.
The case emphasizes two aspects of Blockchain.
Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.
Reference 6626
Published 03 Dec 2020
Length 2 page(s)
Topic Strategy
Region Global
Industry Financial Services
Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.
Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.
Reference 6626
Published 03 Dec 2020
Length 2 page(s)
Topic Strategy
Region Global
Industry Financial Services
Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.
Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.
Reference 6626
Published 03 Dec 2020
Length 1 page(s)
Topic Strategy
Region Global
Industry Financial Services
Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.
