Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Zeljko Tekic"'
Autor:
Dmitry Koroteev, Zeljko Tekic
Publikováno v:
Energy and AI, Vol 3, Iss , Pp 100041- (2021)
We analyze how artificial intelligence changes a significant part of the energy sector, the oil and gas industry. We focus on the upstream segment as the most capital-intensive part of oil and gas and the segment of enormous uncertainties to tackle.
Externí odkaz:
https://doaj.org/article/6debe0ab776c492cabca3f5ee9321e71
Publikováno v:
International Journal of Project Management. 40:531-546
Autor:
Zeljko Tekic, Anja Tekic
Publikováno v:
Academy of Management Proceedings. 2022
Autor:
Zeljko Tekic, Anja Tekic
Publikováno v:
Journal of Business Research. 125:385-396
As an exogenous antecedent of national innovation performance, culture has been receiving significant attention in cross-cultural research. However, relying primarily on Hofstede’s framework of national culture, this research has so far been predom
Publikováno v:
SSRN Electronic Journal.
Autor:
Dmitry Koroteev, Zeljko Tekic
Publikováno v:
Business Horizons. 62:683-693
Recently booming academic interest in digital transformation aims to provide continuous support to managers in dealing with this important issue. However, as with all new fields, the scholarly literature is characterized by increased variability and
Publikováno v:
IEEE Geoscience and Remote Sensing Magazine. 7:59-73
This article analyzes venture capital (VC) investments in the Earth observation (EO) industry, with the aim of identifying technology trends. We collected tech- and investment-related publicly available data on all private, nonsubsidiary companies us
Autor:
Dmitry Koroteev, Zeljko Tekic
Publikováno v:
Managing Digital Transformation ISBN: 9781003008637
Managing Digital Transformation
Managing Digital Transformation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f6a495684509fa7d72dab9e8620fc06
https://doi.org/10.4324/9781003008637-10
https://doi.org/10.4324/9781003008637-10
Publikováno v:
Technological Forecasting and Social Change. 178:121598
Publikováno v:
Technological Forecasting and Social Change. 169:120794
This study demonstrates that web-search traffic information, in particular, Google Trends data, is a credible novel source of high-quality and easy-to-access data for analyzing technology-based new ventures (TBNVs) growth trajectories. Utilizing the