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Scoping review on job control and occupational health in the manufacturing context

  • Patricia H. RosenEmail author
  • Sascha Wischniewski
ORIGINAL ARTICLE

Abstract

The manufacturing sector represents an important factor in the German economy. Often manufacturing tasks can be characterised by determined work rates, required piece numbers or time schedules. These task characteristics strongly relate to the concept of job control. This paper addresses the impact of job control on employees’ health, wellbeing, motivation and performance in manufacturing tasks. Job control encompasses many dimensions. The most common dimension being used is decision latitude (here classified as vertical task characteristics). The scoping review method was applied and the aim of this study was to map the existing knowledge on job control and its impact on four types of outcome variables (health, wellbeing, motivation and performance) for the defined domain of manufacturing jobs. This paper presents the results of 40 included studies dealing with vertical task characteristics. The analysis shows that there is a strong focus on health variables. They have been studied the most together with aspects of job control. Further the review reveals that aspects of job control have an influence on the considered outcomes. Although the literature supports the hypotheses that vertical task characteristics are a resource to employee’s health, wellbeing, motivation and performance most studies are missing precise implications for practitioners in terms of task design. On basis of this review, implications for future research are discussed.

Keywords

Job control Manufacturing Scoping review Health Task design Task characteristics 

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References

  1. 1.
    Alipour A, Ghaffari M, Shariati B, Jensen I, Vingard E (2008) Occupational neck and shoulder pain among automobile manufacturing workers in Iran. Am J Ind Med 51(5):372–379.  https://doi.org/10.1002/ajim.20562 Google Scholar
  2. 2.
    Alipour A, Ghaffari M, Shariati B, Jensen I, Vingard E (2009) Four-year incidence of sick leave because of neck and shoulder pain and its association with work and lifestyle. Spine (Phila Pa 1976) 34(4):413–418.  https://doi.org/10.1097/BRS.0b013e3181948185 Google Scholar
  3. 3.
    Alterman T, Shekelle RB, Vernon SW, Burau KD (1994) Decision latitude, psychologic demand, job strain, and coronary heart disease in the Western electric study. Am J Epidemiol 139(6):620–627Google Scholar
  4. 4.
    Andersen JH, Kaergaard A, Frost P, Thomsen JF, Bonde JP, Fallentin N, Mikkelsen S (2002) Physical, psychosocial, and individual risk factors for neck/shoulder pain with pressure tenderness in the muscles among workers performing monotonous, repetitive work. Spine (Phila Pa 1976) 27(6):660–667Google Scholar
  5. 5.
    Arcury TA, Cartwright MS, Chen H, Rosenbaum DA, Walker FO, Mora DC, Quandt SA (2014) Musculoskeletal and neurological injuries associated with work organization among immigrant Latino women manual workers in North Carolina. Am J Ind Med 57(4):468–475.  https://doi.org/10.1002/ajim.22298 Google Scholar
  6. 6.
    Arksey H, O'Malley L (2005) Scoping studies: towards a methodological framework. Int J Soc Res Methodol 8(1):19–32Google Scholar
  7. 7.
    Astrand NE, Hanson BS, Isacsson SO (1989) Job demands, job decision latitude, job support, and social network factors as predictors of mortality in a Swedish pulp and paper company. Br J Ind Med 46(5):334–340Google Scholar
  8. 8.
    Barner A, Neugebauer R, Stratmann M, Veit E (2016) Innovationspotenziale der Mensch-Maschine-Interaktion. acatech Dossier, BerlinGoogle Scholar
  9. 9.
    Bonde JP, Mikkelsen S, Andersen JH, Fallentin N, Baelum J, Svendsen SW, Kaergaard A (2003) Prognosis of shoulder tendonitis in repetitive work: a follow up study in a cohort of Danish industrial and service workers. Occup Environ Med 60(9):E8Google Scholar
  10. 10.
    Bortz J, Schuster C (2006) Statistik: Für Human-und Sozialwissenschaftler. Springer-Verlag, HeidelbergzbMATHGoogle Scholar
  11. 11.
    Cheung JH, Sinclair RR, Shi J, Wang M (2014) Do job demands of Chinese manufacturing employees predict positive or negative outcomes? A test of competing hypotheses. Stress Health 31:432–442.  https://doi.org/10.1002/smi.2568 Google Scholar
  12. 12.
    Coetzer A (2006) Employee learning in New Zealand small manufacturing firms. Employ Relat 28(4):311–325Google Scholar
  13. 13.
    Cohen J (1988) Statistical power analysis for the behavioral sciences (2. Auflage). Erlbaum, Hillsdale, NJzbMATHGoogle Scholar
  14. 14.
    Destatis (2016) Labour market - employment (national concept) by industries. Retrieved 2016-06-12, from Federal Statistical Office of Germany https://www.destatis.de/EN/FactsFigures/Indicators/LongTermSeries/LabourMarket/lrarb013.html
  15. 15.
    Edimansyah BA, Rusli BN, Naing L, Mohamed Rusli BA, Winn T (2007) Relationship of psychosocial work factors and health-related quality of life in male automotive assembly workers in Malaysia. Ind Health 45(3):437–448Google Scholar
  16. 16.
    Gerr F, Fethke NB, Anton D, Merlino L, Rosecrance J, Marcus M, Jones MP (2014) A prospective study of musculoskeletal outcomes among manufacturing workers: II. Effects of psychosocial stress and work organization factors. Hum Factors 56(1):178–190Google Scholar
  17. 17.
    Guendelman S, Silberg MJ (1993) The health consequences of maquiladora work: women on the US-Mexican border. Am J Public Health 83(1):37–44Google Scholar
  18. 18.
    Hacker W (1973) Allgemeine Arbeits- und Ingenieurpsychologie : psychische Struktur und Regulation von Arbeitstätigkeiten. VDR, BerlinGoogle Scholar
  19. 19.
    Hackman JR, Oldham GR (1976) Motivation through the design of work: test of a theory. Organ Behav Hum Perform 16(2):250–279Google Scholar
  20. 20.
    Häusser JA, Mojzisch A, Niesel M, Schulz-Hardt S (2010) Ten years on: a review of recent research on the job demand–control (-support) model and psychological well-being. Work Stress 24(1):1–35Google Scholar
  21. 21.
    Hsieh A-T, Chao H-Y (2004) A reassessment of the relationship between job specialization, job rotation and job burnout: example of Taiwan's high-technology industry. Int J Hum Resour Manag 15(6):1108–1123.  https://doi.org/10.1080/09585190410001677331 Google Scholar
  22. 22.
    Hughes RE, Silverstein BA, Evanoff BA (1997) Risk factors for work-related musculoskeletal disorders in an aluminum smelter. Am J Ind Med 32(1):66–75Google Scholar
  23. 23.
    Ishizaki M, Kawakami N, Honda R, Yamada Y, Nakagawa H, Morikawa Y (2013) A prospective study of psychosocial work characteristics and long sick leave of Japanese male employees in multiple workplaces. Ind Health 51(4):398–405Google Scholar
  24. 24.
    Ishizaki M, Tsuritani I, Noborisaka Y, Yamada Y, Tabata M, Nakagawa H (1996) Relationship between job stress and plasma fibrinolytic activity in male Japanese workers. Int Arch Occup Environ Health 68(5):315–320Google Scholar
  25. 25.
    Joensuu M, Väänänen A, Koskinen A, Kivimäki M, Virtanen M, Vahtera J (2010) Psychosocial work environment and hospital admissions due to mental disorders: a 15-year prospective study of industrial employees. J Affect Disord 124(1–2):118–125Google Scholar
  26. 26.
    Johnson JV, Hall EM (1988) Job strain, work place social support, and cardiovascular disease: a cross-sectional study of a random sample of the Swedish working population. Am J Public Health 78(10):1336–1342Google Scholar
  27. 27.
    Kaila-Kangas L, Kivimaki M, Riihimaki H, Luukkonen R, Kirjonen J, Leino-Arjas P (2004) Psychosocial factors at work as predictors of hospitalization for back disorders: a 28-year follow-up of industrial employees. Spine (Phila Pa 1976) 29(16):1823–1830Google Scholar
  28. 28.
    Karasek R, Brisson C, Kawakami N, Houtman IL, Bongers PM, Amick B (1998) The job content questionnaire (JCQ): an instrument for internationally comparative assessments of psychosocial job characteristics. J Occup Health Psychol 3(4):322–355Google Scholar
  29. 29.
    Karasek R, Theorell T (1990) Healthy work: stress, productivity, and the reconstruction of working lifeGoogle Scholar
  30. 30.
    Kerr MS, Frank JW, Shannon HS, Norman RW, Wells RP, Neumann WP, Bombardier C (2001) Biomechanical and psychosocial risk factors for low back pain at work. Am J Public Health 91(7):1069–1075Google Scholar
  31. 31.
    Kim HC, Min JY, Min KB, Park SG (2009) Job strain and the risk for occupational injury in small- to medium-sized manufacturing enterprises: a prospective study of 1,209 Korean employees. Am J Ind Med 52(4):322–330.  https://doi.org/10.1002/ajim.20673 Google Scholar
  32. 32.
    Kivimäki M, Leino-Arjas P, Luukkonen R, Riihimäki H, Vahtera J, Kirjonen J (2002) Work stress and risk of cardiovascular mortality: prospective cohort study of industrial employees. BMJ (Br Med J) 325(7369):857–857Google Scholar
  33. 33.
    Kudielka BM, Hanebuth D, von Känel R, Gander M-L, Grande G, Fischer JE (2005) Health-related quality of life measured by the SF12 in working populations: associations with psychosocial work characteristics. J Occup Health Psychol 10(4):429–440.  https://doi.org/10.1037/1076-8998.10.4.429 Google Scholar
  34. 34.
    Lenhard, A. (2015). Berechnung von Effektstärken. Retrieved 2019-01-28 from http://www.psychometrica.de/effektstaerke.html
  35. 35.
    Levac D, Colquhoun H, O’Brien KK (2010) Scoping studies: advancing the methodology. Implement Sci 5(1):1Google Scholar
  36. 36.
    Li F, Jiang L, Yao X, Li Y (2013) Job demands, job resources and safety outcomes: the roles of emotional exhaustion and safety compliance. Accid Anal Prev 51:243–251Google Scholar
  37. 37.
    MacDonald LA, Karasek RA, Punnett L, Scharf T (2001) Covariation between workplace physical and psychosocial stressors: evidence and implications for occupational health research and prevention. Ergonomics 44(7):696–718Google Scholar
  38. 38.
    Melamed S, Kristal-Boneh E, Harari G, Froom P, Ribak J (1998) Variation in the ambulatory blood pressure response to daily work load—the moderating role of job control. Scand J Work Environ Health 24(3):190–196Google Scholar
  39. 39.
    Nagami M, Tsutsumi A, Tsuchiya M, Morimoto K (2010) Job control and coworker support improve employee job performance. Ind Health 48(6):845–851Google Scholar
  40. 40.
    Nakata A, Ikeda T, Takahashi M, Haratani T, Hojou M, Fujioka Y, Araki S (2006) Impact of psychosocial job stress on non-fatal occupational injuries in small and medium-sized manufacturing enterprises. Am J Ind Med 49(8):658–669.  https://doi.org/10.1002/ajim.20338 Google Scholar
  41. 41.
    Neupane S, Miranda H, Virtanen P, Siukola A, Nygård C-H (2013) Do physical or psychosocial factors at work predict multi-site musculoskeletal pain? A 4-year follow-up study in an industrial population. Int Arch Occup Environ Health 86(5):581–589Google Scholar
  42. 42.
    Parker SK, Axtell CM, Turner N (2001) Designing a safer workplace: importance of job autonomy, communication quality, and supportive supervisors. J Occup Health Psychol 6(3):211–228.  https://doi.org/10.1037/1076-8998.6.3.211 Google Scholar
  43. 43.
    Pham MT, Rajić A, Greig JD, Sargeant JM, Papadopoulos A, McEwen SA (2014) A scoping review of scoping reviews: advancing the approach and enhancing the consistency. Res Synth Methods 5(4):371–385Google Scholar
  44. 44.
    Richter F, Pohlandt A (2009) Lernförderliche Arbeitsgestaltung, Arbeitszufriedenheit und Anspruchsniveau. [learning-promoting job design, job satisfaction, and individual aspiration level]. Arbeit 18(2):107–122Google Scholar
  45. 45.
    Rohrbach-Schmidt D, Hall A (2012) BIBB/BAuA Employment Survey 2012Google Scholar
  46. 46.
    Rosen PH (2016) Psychische Gesundheit in der Arbeitswelt - Handlungs- und Entscheidungsspielraum, Aufgabenvariabilität. Retrieved from Dortmund:Google Scholar
  47. 47.
    Rosen PH, Wischniewski S (2016) Task design in human-robot-interaction scenarios - challenges from a human factors perspective. Manuscript submitted for publicationGoogle Scholar
  48. 48.
    Rydstedt LW, Devereux J, Sverke M (2007) Comparing and combining the demand-control-support model and the effort reward imbalance model to predict long-term mental strain. Eur J Work Organ Psychol 16(3):261–278Google Scholar
  49. 49.
    Semmer NK (1990) Stress und Kontrollverlust. In: Frei F, Udris I (eds) Das Bild der Arbeit. Huber, Bern, pp 190–207Google Scholar
  50. 50.
    Spath D, Ganschar O, Gerlach S, Hämmerle M, Krause T, Schlund S (2013) Produktionsarbeit der Zukunft-Industrie 4.0. Fraunhofer Verlag, StuttgartGoogle Scholar
  51. 51.
    Suwazono Y, Dochi M, Kobayashi E, Oishi M, Okubo Y, Tanaka K, Sakata K (2008) Benchmark duration of work hours for development of fatigue symptoms in Japanese workers with adjustment for job-related stress. Risk Anal 28(6):1689–1698Google Scholar
  52. 52.
    Takahashi M, Nakata A, Haratani T, Otsuka Y, Kaida K, Fukasawa K (2006) Psychosocial work characteristics predicting daytime sleepiness in day and shift workers. Chronobiol Int 23(6):1409–1422Google Scholar
  53. 53.
    van der Doef M, Maes S (1998) The job demand-control(−support) model and physical health outcomes: a review of the strain and buffer hypotheses. Psychol Health 13(5):909–936.  https://doi.org/10.1080/08870449808407440 Google Scholar
  54. 54.
    Vandergrift JL, Gold JE, Hanlon A, Punnett L (2012) Physical and psychosocial ergonomic risk factors for low back pain in automobile manufacturing workers. Occup Environ Med 69(1):29–34Google Scholar
  55. 55.
    Volpert W (1974) Die "Humanisierung der Arbeit" und die Arbeitswissenschaft. Pahl-Rugenstein, [Köln]Google Scholar
  56. 56.
    Wall TD, Jackson PJ, Mullarkey S, Parker SK (1996) The demands-control model of job strain: a more specific test. J Occup Organ Psychol 69(2):153–166Google Scholar
  57. 57.
    Wang PC, Rempel DM, Harrison RJ, Chan J, Ritz BR (2007) Work-organisational and personal factors associated with upper body musculoskeletal disorders among sewing machine operators. Occup Environ Med 64(12):806–813.  https://doi.org/10.1136/oem.2006.029140 Google Scholar
  58. 58.
    Warr P (1987) Work, unemployment, and mental health. Oxford University Press, OxfordGoogle Scholar
  59. 59.
    Werner RA, Franzblau A, Gell N, Hartigan A, Ebersole M, Armstrong TJ (2005) Predictors of persistent elbow tendonitis among auto assembly workers. J Occup Rehabil 15(3):393–400Google Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.Federal Institute for Occupational Safety and HealthDortmundGermany

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