[HTML][HTML] Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research

JR Saura, D Ribeiro-Soriano… - Industrial Marketing …, 2021 - Elsevier
The new business challenges in the B2B sector are determined by connected ecosystems,
where data-driven decision making is crucial for successful strategies. At the same time, the …

[HTML][HTML] Using data sciences in digital marketing: Framework, methods, and performance metrics

JR Saura - Journal of Innovation & Knowledge, 2021 - Elsevier
In the last decade, the use of Data Sciences, which facilitate decision-making and extraction
of actionable insights and knowledge from large datasets in the digital marketing …

[HTML][HTML] How has data-driven marketing evolved: Challenges and opportunities with emerging technologies

AT Rosário, JC Dias - … Journal of Information Management Data Insights, 2023 - Elsevier
This paper explores data-driven marketing, its benefits, and challenges to provide insights
and a framework for business leaders and marketers to leverage in their marketing efforts …

Smart city as a smart service system: Human-computer interaction and smart city surveillance systems

M Kashef, A Visvizi, O Troisi - Computers in Human Behavior, 2021 - Elsevier
Smart city services, smart applications and smart devices form an ecosystem of tools and
artifacts that challenge, and times even disrupt, conventions, norms, and rites of behavior …

[HTML][HTML] How can organizations leverage big data to innovate their business models? A systematic literature review

C Acciarini, F Cappa, P Boccardelli, R Oriani - Technovation, 2023 - Elsevier
The use of big data has garnered increasing importance in academic research and
managerial practice thanks to the benefits it can produce in terms of innovation. However …

[HTML][HTML] Fostering B2B sales with customer big data analytics

H Hallikainen, E Savimäki, T Laukkanen - Industrial Marketing …, 2020 - Elsevier
This study focuses on the use of big data analytics in managing B2B customer relationships
and examines the effects of big data analytics on customer relationship performance and …

[HTML][HTML] Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review

W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Business model scaling and growth hacking in digital entrepreneurship

A Cavallo, F Cosenz, G Noto - Journal of Small Business …, 2024 - Taylor & Francis
Creating an innovative product and validating an innovative business model may not be
enough for digital startups to be competitive. To grow fast and expand globally, digital …

[HTML][HTML] Think human, act digital: activating data-driven orientation in innovative start-ups

A Visvizi, O Troisi, M Grimaldi, F Loia - European Journal of …, 2022 - emerald.com
Purpose The study queries the drivers of innovation management in contemporary data-
driven organizations/companies. It is argued that data-driven organizations that integrate a …

[HTML][HTML] Digitalizing business models in hospitality ecosystems: toward data-driven innovation

O Troisi, A Visvizi, M Grimaldi - European Journal of Innovation …, 2023 - emerald.com
Purpose Digitalization accelerates the need of tourism and hospitality ecosystems to reframe
business models in line with a data-driven orientation that can foster value creation and …