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Growth hacking: Insights on data-driven decision-making from three firms · Study

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ArticleGrowth hacking: Insights on data-driven decision-making from three firms

Orlando Troisi2019

Article2019

Growth hacking: Insights on data-driven decision-making from three firms

Orlando Troisi · Gennaro Maione · Mara Grimaldi · Francesca Loia

177 citations·0/0 files stored·Industrial Marketing Management

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Big Data and Business Intelligence Digital Innovation in Industries Big Data Technologies and Applications

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 177 citations exist upstream.

References

2007Designing and Conducting Mixed Methods Research 1993Organizational culture and leadership 1996The Art of Case Study Research 2015Qualitative Case Study Methodology: Study Design and Implementation for Novice Researchers 2012Business Intelligence and Analytics: From Big Data to Big Impact 2005Multiple Case Study Analysis 2009Leading change: why transformation efforts fail 2014Beyond the hype: Big data concepts, methods, and analytics

Cited by

2020Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics 2023How has data-driven marketing evolved: Challenges and opportunities with emerging technologies 2023How can organizations leverage big data to innovate their business models? A systematic literature review 2021Think human, act digital: activating data-driven orientation in innovative start-ups 2023Business model scaling and growth hacking in digital entrepreneurship 2023Digitalizing business models in hospitality ecosystems: toward data-driven innovation 2023Uncovering the dark side of AI-based decision-making: A case study in a B2B context 2020Key trends in business-to-business services marketing strategies: Developing a practice-based research agenda

Details

Year2019

Typearticle

Published2019-08-23

VenueIndustrial Marketing Management

ISSN-L0019-8501

Languageen

Citations177

Files0 public / 0

ShelfBig Data and Business Intelligence

Identifiers

doi10.1016/j.indmarman.2019.08.005

openalex_workW2969283397

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