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 …

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 …

[HTML][HTML] Big data analytics and innovation in e-commerce: current insights and future directions

AA Alsmadi, A Shuhaiber, M Al-Okaily… - Journal of Financial …, 2023 - Springer
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 …

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 …

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 …

Problem formulation and fairness

S Passi, S Barocas - Proceedings of the conference on fairness …, 2019 - dl.acm.org
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 …

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 …

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 …

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 …

[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 …