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1 |
A 2020 perspective on “Transformative value of the Internet of Things and pricing decisions”
چشم انداز 2020 در مورد "ارزش تحول پذیر اینترنت اشیا و تصمیمات قیمت گذاری"-2020 The Internet of Things (IoT) has become increasingly influential, particularly because of the significant new
developments in the technologies of big data, cloud computing, 5G, and artificial intelligence. In this paper, we
briefly explain how these new developments in the IoT may create a new electronic commerce landscape and
opportunities associated with it; these developments pose interesting questions for future research.
Keywords: Internet of Things | Business management | Computational social science (CSS) | Data analytics |
مقاله انگلیسی |
2 |
A 2020 perspective on “How to derive causal insights for digital commerce in China? A research commentary on computational social science methods”
دیدگاه 2020 با عنوان "چگونه می توان بینش علّی در مورد تجارت دیجیتال در چین به دست آورد؟ تفسیر پژوهشی در مورد روشهای علوم اجتماعی محاسباتی "-2020 Cyber-physical data from wearable and other data-sensing devices have been rapidly changing the landscape of
opportunity for the conduct of computational social science (CSS) studies. We now have the opportunity to
include in our research wearable healthcare data sensors, global positioning system (GPS) data, as well as a
range of other digital data via mobile phones and other kinds of easily deployed sensors. The result is a dramatic
new set of measurement opportunities for management scientists, marketing research staff, and policy analysts,
who can now apply a range of approaches to such data capture and analysis, including machine learning of
patterns, and causal inference methods for relevant policy analytics conclusions. Keywords: Causal inference | Computational social science (CSS) | Cyber-physical sensing | Data analytics | Machine learning | Wearable devices |
مقاله انگلیسی |