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How has social media been affecting problem-solving in organizations undergoing Lean Production implementation? A multi-case study

Abstract

This paper investigates the impact of social media utilization on problem-solving routines in organizations undergoing Lean Production (LP) implementation. A multi-case study was conducted in three firms from different sectors with distinct maturity levels of LP implementation. Empirical evidence was collected through complementary ways, such as semi-structured interviews, secondary data, and in loco non-participant observation. Data were then analyzed and triangulated, leading to propositions on the effects of social media on problem-solving activities in lean organizations. This research was grounded on the concepts of Information Manipulation Theory. Our findings suggest that, while social media may contribute to the amount of information that is shared for solving problems, the relevance and the level of details of such information may be shallow, overburdening the help chain mechanisms and generating wastes like overprocessing. The identification of the impact of social media on problem-solving activities enables a better comprehension of how new information and communication technologies can promote (or impair) the intra- and inter-organizational links. It also helps identify improvement opportunities in integrating social media into problem-solving routines, resulting in more responsive and competitive organizations.
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Category

Academic article

Language

English

Author(s)

  • Guilherme Luz Tortorella
  • Daryl Powell
  • Libo Liu
  • Moacir Godinho Filho
  • Jiju Antony
  • Peter Hines
  • Daniel Luiz de Mattos Nascimento

Affiliation

  • SINTEF Manufacturing
  • Aalborg University
  • France
  • South East Technological University
  • University of Barcelona
  • University of Northumbria at Newcastle
  • University of South-Eastern Norway
  • Austral University, Buenos Aires
  • Federal University of Santa Catarina
  • Federal University of São Carlos
  • University of Melbourne

Year

2023

Published in

Journal of Industrial Information Integration

ISSN

2467-964X

Volume

35

View this publication at Norwegian Research Information Repository