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How machine learning activates data network effects in business models . . . The contribution lies in extending a business model’s lock-in effects through direct and indirect network effects to encompass data network effects This paper provides a case study that supports the theoretical advancement and illustrates how this form of machine learning can increase profitability while reducing negative ecological impacts
How machine learning activates data network effects in . . . This paper provides a case study that supports the theoretical advancement and illustrates how this form of machine learning can increase profitability while reducing negative ecological impacts in an industrial context
How machine learning activates data network effects in . . . How machine learning activates data network effects in business models: Theory advancement through an industrial case of promoting ecological sustainability 机器学习如何激活商业模型中的数据网络效应：通过促进生态可持续性的工业案例推进理论
A pathway to bypassing market entry barriers from data network effects . . . We empirically test the perceptions of users of the Data Network Effects Theory Highly valued firms exploit machine learning to activate data network effects Data is gathered and analyzed to generate predictions and recommendations
Value Creation through Machine Learning Using Data Network Effects The recently proposed theory of data network effects aims to account for how user value is created from the use of machine learning technology The theory recognises the unique learning ability of machine learning, which uses large data sets for predictions and decision making