Data science for business: benefits, challenges and opportunities
MM Medeiros, N Hoppen, ACG Maçada - The Bottom Line, 2020 - emerald.com
Purpose This paper aims to identify the benefits of data science (DS) for organizations,
highlighting the challenges and opportunities related to developing this capability …
highlighting the challenges and opportunities related to developing this capability …
The emergence of B2B omni-channel marketing in the digital era: a systematic literature review
Ó Hayes, F Kelliher - Journal of Business & Industrial Marketing, 2022 - emerald.com
Purpose This paper aims to provide a systematic review of omni-channel marketing (OCM)
literature and explore how it relates to business-to-business (B2B) marketing campaign …
literature and explore how it relates to business-to-business (B2B) marketing campaign …
[HTML][HTML] Big data analytics and innovation in e-commerce: current insights and future directions
Big data analytics (BDA), as a new innovation tool, played an important role in helping
businesses to survive and thrive during great crises and mega disruptions like COVID-19 by …
businesses to survive and thrive during great crises and mega disruptions like COVID-19 by …
How data-driven innovation capability is shaping the future of market agility and competitive performance?
S Sultana, S Akter, E Kyriazis - Technological Forecasting and Social …, 2022 - Elsevier
In the race to achieve market dominance and stay competitive in a disruptive and rapidly
changing business environment, many firms have invested significantly in data-driven …
changing business environment, many firms have invested significantly in data-driven …
Trust in data science: Collaboration, translation, and accountability in corporate data science projects
S Passi, SJ Jackson - Proceedings of the ACM on human-computer …, 2018 - dl.acm.org
The trustworthiness of data science systems in applied and real-world settings emerges from
the resolution of specific tensions through situated, pragmatic, and ongoing forms of work …
the resolution of specific tensions through situated, pragmatic, and ongoing forms of work …
Problem formulation and fairness
Formulating data science problems is an uncertain and difficult process. It requires various
forms of discretionary work to translate high-level objectives or strategic goals into tractable …
forms of discretionary work to translate high-level objectives or strategic goals into tractable …
Big data analytics in innovation processes: which forms of dynamic capabilities should be developed and how to embrace digitization?
R Capurro, R Fiorentino, S Garzella… - European Journal of …, 2021 - emerald.com
Big data analytics in innovation processes: which forms of dynamic capabilities should be
developed and how to embrace digitization? | Emerald Insight Books and journals Case …
developed and how to embrace digitization? | Emerald Insight Books and journals Case …
Big data analytics: from leadership to firm performance
A Koohang, CS Sargent, JZ Zhang… - Industrial Management & …, 2023 - emerald.com
Purpose This paper aims to propose a research model with eight constructs, ie BDA
leadership, BDA talent quality, BDA security quality, BDA privacy quality, innovation …
leadership, BDA talent quality, BDA security quality, BDA privacy quality, innovation …
Setting the development of digitalization: state-of-the-art and potential for future research in cooperatives
B Ribeiro-Navarrete, JR Saura… - Review of Managerial …, 2024 - Springer
In recent years, companies have adapted their business models towards a digital format
whereby their internal organization, development, production and logistics processes have …
whereby their internal organization, development, production and logistics processes have …
[HTML][HTML] Explaining the competitive advantage generated from Analytics with the knowledge-based view: the example of Logistics and Supply Chain Management
TT Herden - Business Research, 2020 - Springer
The purpose of this paper is to provide a theory-based explanation for the generation of
competitive advantage from Analytics and to examine this explanation with evidence from …
competitive advantage from Analytics and to examine this explanation with evidence from …