@article {1393,
	title = {Approaching a Data-Dominant Logic},
	journal = {Technology Innovation Management Review},
	volume = {10},
	year = {2020},
	month = {10/2020},
	pages = {16-28},
	publisher = {Talent First Network},
	chapter = {16},
	address = {Ottawa},
	abstract = {This paper introduces the construct of "data-dominant logic". The findings of a multi-step exploratory study indicate that SME have an established mindset (dominant logic) that often hinders these firms from turning data in innovative products, services, and business models. The availability of large amounts of data and the use of this data through data science-driven practices has reached a stage when it now enables new and promising possibilities for firms to innovate. However, the actual use of data and data science insights has proven to be difficult for many companies. The firms under consideration in this paper recognize that the availability of data fundamentally changes their businesses. But also, they lack the appropriate culture, mindset, and business repertoire that would enable them to act by turning data into innovation. The paper concludes that firms first need to establish a new mindset in which data plays a central role. Here I term this mindset "data-dominant logic" (DDL). Future research is required to further concretize the construct beyond this introduction.},
	keywords = {Data science, data-dominant logic, dominant logic, empirical study, organizational and managerial requirements, SMEs},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1393},
	url = {timreview.ca/article/1393},
	author = {Petra Kugler}
}
@article {1396,
	title = {Editorial: Insights (October 2020)},
	journal = {Technology Innovation Management Review},
	volume = {10},
	year = {2020},
	month = {10/2020},
	pages = {3-3},
	publisher = {Talent First Network},
	chapter = {3},
	address = {Ottawa},
	keywords = {Advanced Analytics, AI maturity. Data science, AI value chain, AI-driven platform innovation, Artificial Intelligence (AI), big data, business decision-making, business model components, business models, content analysis, data-dominant logic, dominant logic, empirical study, enterprise platform, industries, online communication, online data collection, organizational and managerial requirements, principal component analysis, R\&D, research and development, secondary data. Sustainability, SMEs. Disruptive innovation, sustainable innovation},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1396},
	url = {timreview.ca/article/1396},
	author = {Gregory Sandstrom}
}
