Building Research Programs in the Computationally Intensive Theory Construction Genre

Hani Safadi ()
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Hani Safadi: University of Georgia, Department of Management Information Systems, Terry College of Business

Chapter Chapter 3 in Digital Trace Data Research in Information Systems, 2026, pp 41-64 from Springer

Abstract: Abstract The new genre of computationally intensive theory construction benefits from being empirically grounded in patterns from data but also theoretically driven to integrate with an existing discourse. In this chapter, I further emphasize how patterns can serve as building blocks not only in creating novel theories but also in cultivating research programs. In particular, I describe the two moves of modularizing and meta-patterning and show how they can be used to evolve diverse research programs. I discuss the opportunities and challenges of programmatic research within the genre of computationally intensive theory construction and beyond.

Keywords: Computationally intensive theory construction; Patterns; Theories; Middle-range theories; Research programs; Programmatic research; Modular research (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-032-05497-5_3

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DOI: 10.1007/978-3-032-05497-5_3

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