The problem of knowledge accumulation

Yuanyuan Song (), Richard T. Watson () and Xia Zhao ()

Chapter 1 in Causal Knowledge Analytics, 2025, pp 1-9 from Edward Elgar Publishing

Abstract: Today, scholars generate and publish knowledge at an unprecedented rate, yet this exponentially growing knowledge base burdens them and undermines research productivity. Information systems, pivotal since the digital age, have significantly boosted scholarly productivity. One of the breakthroughs is the development of full-text search engines such as Google Scholar, which greatly enhance knowledge accessibility. However, prior advancements fall short of offering direct access to core knowledge in publications and do not provide analytical capabilities, as they digitize text instead of knowledge. Scholars need a new generation of information systems support to stand on the shoulders of giants. Knowledge engineering provides a path to raise scholarly productivity by transforming knowledge into computable objects and employing analytical methods. This chapter discusses the challenges of knowledge accumulation and proposes a new solution – causal knowledge analytics.

Keywords: Knowledge growth; Scholarly productivity; Information systems; Full-text search engines; Knowledge engineering; Causal knowledge analytics (search for similar items in EconPapers)
Date: 2025
ISBN: 9781035353149
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