Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Gaurav Nagpal"'
Publikováno v:
International Journal of E-Adoption. 15:1-14
Business analytics are transforming every industry in modern times, and the retail sector is not an exception to this. However, the adoption of analytics among small and medium enterprises is quite limited. There is a decent amount of research that h
Publikováno v:
International Journal of Adult Education and Technology. 13:1-18
This research study aims to examine the effectiveness of delivering a supply chain management course to students from a cross-functional perspective. The study analyses the positive teaching-learning outcomes that came out with the teaching of this c
Publikováno v:
Emerald Emerging Markets Case Studies. 12:1-38
Learning outcomes After reading and discussing the case, the participant would be able to: comprehend the ethics in marketing strategies that were displayed by an entrepreneur in the challenging times of the Covid-19 pandemic; appreciate how the mark
Publikováno v:
International Journal of E-Adoption. 14:1-22
In this paper, the multi-period EOQ model is developed for the technology products that have multiple generations co-existing in the market, with each of them having a very short product life cycle. The paper first develops the framework for computat
Publikováno v:
International Journal of Information Systems and Supply Chain Management. 15:1-29
In this age of digitalization, when every industry is undergoing technological disruption, there is a big role of digital gadgets and technology products. A key feature of these digital gadgets is the short length of the product life cycle, since the
Publikováno v:
2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS).
Publikováno v:
2023 International Conference on Computer Communication and Informatics (ICCCI).
Publikováno v:
Operations and Supply Chain Management: An International Journal. :261-276
Autor:
Gaurav Nagpal, Udayan Chanda
Publikováno v:
Journal of Management Analytics. 9:261-286
Publikováno v:
Machine Learning for Business Analytics ISBN: 9781003206316
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d5109f5951e341bca4fb17f3878f221
https://doi.org/10.4324/9781003206316-5
https://doi.org/10.4324/9781003206316-5