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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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CONTENT AS A GROWTH ENGINE: MANAGING STRATEGY, PRODUCTION, AND DISTRIBUTION AT SCALE

Authors: Erlina Desi Purwanti; Lukmanul Hakim; Dahrul Aman Harahap;

CONTENT AS A GROWTH ENGINE: MANAGING STRATEGY, PRODUCTION, AND DISTRIBUTION AT SCALE

Abstract

In the digital economy, content has evolved from a marketing tactic to a core driver of customer acquisition, engagement, and revenue. However, scaling content operations effectively presents significant strategic and operational challenges. This study investigates how organizations can systematically manage content as a scalable growth engine. The objective is to develop an integrated framework for aligning content strategy with business objectives, optimizing production workflows, and mastering multi-channel distribution. Employing a qualitative multiple case study methodology, the research analyzed in-depth interviews with 38 content leaders and practitioners across seven high-growth companies. The results identify three critical pillars: a documented strategic "content architecture," industrialized yet agile production processes, and a data-informed, omnichannel distribution model. The discussion reveals that successful scaling requires a shift from project-based creation to a product management mindset, supported by cross-functional teams and robust technology infrastructure. It is concluded that treating content as a perpetual growth engine demands strategic orchestration across the entire lifecycle, transforming content from a cost center into a measurable, scalable asset that fuels sustainable business expansion.

Related Organizations
Keywords

content strategy, scalable content, content operations, content distribution, content marketing

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average