Cited by 36Augmented Reality ApplicationsDigital Transformation in IndustryHuman-Automation Interaction and Safety

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Seeing the Bigger Picture? Ramping up Production with the Use of Augmented Reality

Wuttke, David, Upadhyay, Ankit, Siemsen, Enno, Wuttke-Linnemann, Alexandra·2022·Manufacturing & Service Operations Management

Abstract

Problem definition: Firms increasingly use augmented reality (AR) devices to improve their production ramp-up processes. These devices appear useful, yet little is known about their broader impact on worker productivity and behavior. Academic/practical relevance: Efficient production ramp-ups are particularly important when product life cycles are short. An ongoing debate among academics and practitioners pertains to how Industry 4.0, and AR devices in particular, can accelerate the ramp-up. The current study provides empirical evidence related to AR in the production ramp-up context, examines the strengths and weaknesses of AR, and tests four hypotheses, leading to a more nuanced view of AR use in the manufacturing ramp-up. Methodology: A framed field experiment in a manufacturing plant provides a test of how quickly workers can perform new tasks with and without AR support and how the use of AR affects their ability to suggest process improvements. Results: When faced with a new task, workers instructed by AR smart glasses use 43.8% less time to complete the task compared with a control group that relies on paper-based instructions. However, workers that use AR glasses consistently use 23% more time than the control group when both groups repeat the task without either AR or paper-based instructions. Task difficulty moderates this relationship; workers assigned to a more difficult task benefit the most from AR instructions. After the devices are removed, workers instructed based on paper improve their productivity faster through learning than those instructed by AR. In addition, the former group suggests better process improvements than the latter one. Managerial implications: Although these results indicate substantially higher productivity resulting from AR devices, they also support the view that, once instructed through AR devices, workers come to rely on this new technology without fully internalizing the task. This failure to internalize their task then leads workers to suggest less useful process improvements.

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Show all 5 references

Research works printed but not linked: 61

  1. Abernathy WJ, 1978, The Productivity Dilemma; Roadblock to Innovation in the Automobile Industry
  2. Abraham M, 2017, Harvard Bus. Rev.
  3. 10.3758/s13423-012-0370-3 · DOI
  4. 10.2307/1924332 · DOI · Paper page
  5. 10.18637/jss.v067.i01 · DOI · Paper page
  6. 10.1287/msom.1080.0228 · DOI
  7. Boute R, 2021, Management Bus. Rev., 1, 177, 10.1177/2694105820210101027 · DOI
  8. 10.1080/10862968109547403 · DOI
  9. 10.2307/258353 · DOI · Paper page
  10. 10.1287/mnsc.2020.3673 · DOI
  11. Costa PTJ, 1992, Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) Manual
  12. 10.1016/S0022-5371(72)80001-X · DOI · Paper page
  13. 10.1037/0096-3445.104.3.268 · DOI · Paper page
  14. 10.1163/1571806054741100 · DOI
  15. 10.1016/j.jom.2012.12.001 · DOI
  16. 10.1287/msom.2021.0989 · DOI
  17. 10.1287/mnsc.42.5.693 · DOI
  18. Domjan M, 2014, The Principles of Learning and Behavior
  19. 10.3758/BRM.41.4.1149 · DOI · Paper page
  20. 10.3758/BF03211136 · DOI
  21. 10.1287/mnsc.2013.1709 · DOI
  22. 10.1002/smj.4250171110 · DOI · Paper page
  23. 10.1257/0022051043004577 · DOI
  24. 10.1111/j.1937-5956.2005.tb00008.x · DOI
  25. 10.1016/j.jom.2012.06.004 · DOI
  26. 10.1287/orsc.2.1.88 · DOI · Paper page
  27. 10.1287/mnsc.1080.0921 · DOI
  28. 10.1287/mnsc.2016.2709 · DOI
  29. 10.1287/mnsc.2013.1720 · DOI
  30. 10.1111/poms.12812 · DOI
  31. 10.1080/21577323.2016.1214635 · DOI
  32. 10.1111/poms.12961 · DOI
  33. 10.1111/j.1553-2712.2008.00220.x · DOI
  34. 10.1287/mnsc.2022.4324 · DOI
  35. 10.1146/annurev.so.14.080188.001535 · DOI
  36. 10.1016/j.ergon.2012.09.001 · DOI · Paper page
  37. 10.1177/0022242920956676 · DOI
  38. 10.5465/amj.2005.15993111 · DOI
  39. 10.1086/258725 · DOI
  40. 10.1287/msom.2019.0805 · DOI
  41. 10.1287/orsc.1030.0058 · DOI
  42. Noghabaei M, 2020, Data (Basel), 5, 26
  43. 10.1016/j.jcps.2011.08.002 · DOI · Paper page
  44. 10.1287/msom.2019.0796 · DOI
  45. Porter ME, 2017, Harvard. Bus. Rev., 95, 46
  46. 10.1287/mnsc.1070.0791 · DOI
  47. 10.1287/mnsc.2016.2721 · DOI
  48. 10.1007/s00371-008-0271-7 · DOI
  49. 10.1109/TEM.2021.3093833 · DOI
  50. 10.1287/mnsc.47.12.1639.10236 · DOI
  51. 10.1287/mnsc.1070.0797 · DOI
  52. 10.1287/mnsc.1070.0714 · DOI
  53. 10.2307/25148705 · DOI
  54. 10.1542/peds.2010-2105 · DOI
  55. 10.1109/ACCESS.2017.2703952 · DOI
  56. 10.1016/j.jom.2012.11.004 · DOI
  57. 10.1037/0021-9010.63.1.29 · DOI
  58. 10.1287/mnsc.1060.0692 · DOI
  59. 10.1080/09658211.2013.831455 · DOI
  60. 10.2307/2393339 · DOI · Paper page
  61. 10.1016/j.jom.2004.10.008 · DOI

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Metadata

Authors
Wuttke, D., Upadhyay, A., Siemsen, E., & Wuttke-Linnemann, A.
Affiliations
  • Technical University of Munich (DE)
  • University of Wisconsin–Madison (US)
  • Center for Mental Health in Old Age, Landeskrankenhaus Mainz, 55122 Mainz, Germany
Venue
Manufacturing & Service Operations Management
Published
2022-07
Volume
24
Issue
4
Pages
2349-2366
ISSN
  • 1523-4614 (ISSN-L)
  • 1526-5498
OpenAlex
W4210461637
Cited by
36
References
5
Citations by year
2026: 6 · 2025: 13 · 2024: 10 · 2023: 4 · 2022: 3
FWCI
2.37
Type
journal article
Language
en
Open access
closed
Locations
  • Manufacturing & Service Operations Management (publishedVersion)
  • mediaTUM (Technical University of Munich) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
Keywords
augmented reality, production ramp-up, smart glasses, labor productivity, task learning, task difficulty, paper-based instruction, Industry 4.0, manufacturing industry

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CoChat. (2026). Citation check: Seeing the Bigger Picture? Ramping up Production with the Use of Augmented Reality. https://app.cochat.ai/papers/10.1287/msom.2021.1070
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Wuttke, D., Upadhyay, A., Siemsen, E., & Wuttke-Linnemann, A. (2022). Seeing the Bigger Picture? Ramping up Production with the Use of Augmented Reality. Manufacturing & Service Operations Management. https://doi.org/10.1287/msom.2021.1070