Cognition, Technology & Work

, Volume 21, Issue 1, pp 145–157 | Cite as

Information technology use for work and technostress: effects of power distance and masculinity culture dimensions

  • Yanan Ma
  • Ofir TurelEmail author
Original Article


This study seeks to theorize on and examine the roles of information technology (IT) use for work combined with individual-level culture dimensions, namely power distance and masculinity, in technostress formation. The model is tested with structural equation modeling techniques applied to data collected from 485 employees in China. Results suggest that (1) the extent of IT use for work drives technostress, (2) technostress is further augmented in employees who are high in power distance and masculinity, (3) the effect of IT use on technostress is amplified for employees who are high in power distance and masculinity, and (4) the effect of IT use for work on technostress is influential primarily for employees with above average power distance and masculinity culture values.


Cultural values Power distance Masculinity IT use Technostress Dark side of IT use Culture 



The authors appreciate financial support from Humanities and Social Sciences Foundation of the Ministry of Education of China (No. 12YJA630089), Guangzhou philosophy and social science development 13th five-year plan project (No. 2016GZYB49) and China Scholarship Council (No. 201308440307) for this project.


  1. Aranda MP, Knight BG (1997) The influence of ethnicity and culture on the caregiver stress and coping process: a sociocultural review and analysis. Gerontologist 37(3):342–354 (<Go to ISI&gt ://WOS:A1997XF36400006) CrossRefGoogle Scholar
  2. Ayyagari R, Grover V, Purvis R (2011). Technostress: technological antecedents and implications. MIS Quart 5(4):831–858 (<Go to ISI>://WOS:000297236000003) CrossRefGoogle Scholar
  3. Bardi A, Schwartz SH (2003) Values and behavior: strength and structure of relations. Pers Soc Psychol Bull 29(10):1207–1220. CrossRefGoogle Scholar
  4. Bearden WO, Money RB, Nevins JL (2006) Multidimensional versus unidimensional measures in assessing national culture values: the Hofstede VSM 94 example. J Bus Res 59(2):195–203. CrossRefGoogle Scholar
  5. Bliese PD, Britt TW (2001) Social support, group consensus and stressor–strain relationships: social context matters. J Org Behav 22(4):425–436. CrossRefGoogle Scholar
  6. Boswell WR, Olson-Buchanan JB, LePine MA (2004) Relations between stress and work outcomes: the role of felt challenge, job control, and psychological strain (article). J Vocat Behav 64(1):165–181. CrossRefGoogle Scholar
  7. Brod C (1984) Techno stress: the human cost of the computer revolution. Addison-Wesley, BostonGoogle Scholar
  8. Carver CS, Pozo C, Harris SD, Noriega V, Scheier MF, Robinson DS et al (1993) How coping mediates the effect of optimism on distress—a study of women with early-stage breast-cancer. J Pers Soc Psychol 65(2), 375–390. CrossRefGoogle Scholar
  9. Chun CA, Moos RH, Cronkite RC (2006). Culture: a fundamental context for the stress and coping paradigm. In: Handbook of multicultural perspectives on stress and coping, pp 29–53 (<Go to ISI>://CCC:000237339100003) Google Scholar
  10. D’Arcy J, Gupta A, Tarafdar M, Turel O (2014) Reflecting on the “Dark Side” of information technology use. Commun Assoc Inf Syst 35(1):109–118Google Scholar
  11. de Mooij M, Hofstede G (2011) Cross-cultural consumer behavior: a review of research findings. J Int Consum Mark 23(3–4):181–192. CrossRefGoogle Scholar
  12. Den Hartog DN, House RJ, Hanges PJ, Ruiz-Quintanilla SA (1999) Culture specific and cross-culturally generalizable implicit leadership theories: are attributes of charismatic/transformational leadership universally endorsed? Leadersh Quart 10(2):219–256. CrossRefGoogle Scholar
  13. Dorfman PW, Howell JP, Hibino S, Lee JK, Tate U, Bautista A (1997) Leadership in Western and Asian countries: commonalities and differences in effective leadership processes across cultures. Leadersh Quart 8(3):233–274. CrossRefGoogle Scholar
  14. Dustbar S, Hofstede GJ (1999) Videoconferencing across cultures: a conceptual framework for floor control issues. J Inf Technol 14(1):161–169Google Scholar
  15. Gaudioso F, Turel O, Galimberti C (2017) The mediating roles of strain facets and coping strategies in translating techno-stressors into adverse job outcomes. Comput Hum Behav 69:189–196. CrossRefGoogle Scholar
  16. Gefen D, Straub DW (1997) Gender differences in the perception and use of e-mail: an extension to the technology acceptance model. MIS Quart 21(4):389.
  17. Ho KKW, Yoo B, Yu S, Tam KY (2007) The effect of culture and product categories on the level of use of buy-it-now (BIN) auctions by sellers. J Glob Inf Manag 15(4):1–19. CrossRefGoogle Scholar
  18. Hofstede G (1980) Culture’s consequences: international differences in work-related values. Sage Publications, Beverly HillsGoogle Scholar
  19. Hofstede G (2001) Culture’s consequences: comparing values, behaviors, institutions and organizations across nations. Sage Publications, Thousand OaksGoogle Scholar
  20. Hofstede G, Bond MH (1988) The Confucius connection—from cultural roots to economic-growth. Org Dyn 16(4):5–21. CrossRefGoogle Scholar
  21. Hofstede G, McCrae RR (2004) Personality and culture revisited: linking traits and dimensions of culture. Cross Cult Res 38(1):52–88. CrossRefGoogle Scholar
  22. Hofstede G, Hofstede GJ, Minkov M (2010) Cultures and organizations: software of the mind. McGraw-Hill, New YorkGoogle Scholar
  23. House R, Javidan M, Hanges P, Dorfman P (2002) Understanding cultures and implicit leadership theories across the globe: an introduction to project GLOBE. J World Bus 37(1):3–10. CrossRefGoogle Scholar
  24. Javidan M, House RJ, Dorfman PW, Hanges PJ, de Luque MS (2006) Conceptualizing and measuring cultures and their consequences: a comparative review of GLOBE’s and Hofstede’s approaches. J Int Bus Stud 37(6):897–914. CrossRefGoogle Scholar
  25. Karasek RA (1979) Job demands, job decision latitude, and mental strain: implications for job redesign. Adm Sci Quart 24(2):285–308. CrossRefGoogle Scholar
  26. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SL et al (2002) Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med 32(6):959–976. CrossRefGoogle Scholar
  27. Lazarus RS (1993) Coping theory and research—past, present, and future. Psychosom Med 55(3):234–247 (<Go to ISI&gt ://WOS:A1993LE08300002) CrossRefGoogle Scholar
  28. Lazarus RS, Folkman S (1984) Stress, appraisal, and coping. Springer, New YorkGoogle Scholar
  29. Lindblom J, Thorvald P (2017) Manufacturing in the wild—viewing human-based assembly through the lens of distributed cognition. Prod Manuf Res Open Access J 5(1):57–80. CrossRefGoogle Scholar
  30. Lu C, Wang B, Siu O, Lu L, Du D (2015) Work-home interference and work values in Greater China. J Manag Psychol 30(7):801–814. CrossRefGoogle Scholar
  31. Lu C, Lu JJ, Du D, Brough P (2016) Crossover effects of work-family conflict among Chinese couples. J Manag Psychol 31(1):235–250. CrossRefGoogle Scholar
  32. Lu J, Shi M, Wang W et al (2017) Factors influencing Chinese university students’ willingness to performing bystander cardiopulmonary resuscitation (article). Int Emerg Nurs 32:3–8. CrossRefGoogle Scholar
  33. Maier C, Laumer S, Weinert C, Weitzel T (2015) The effects of technostress and switching stress on discontinued use of social networking services: a study of Facebook use. Inf Syst J 25(3):275–308. CrossRefGoogle Scholar
  34. Martinsons MG, Hempel PS (1998) Chinese business process re-engineering. Int J Inf Manag 18(6):393–407. CrossRefGoogle Scholar
  35. McGrath JE (1976) Stress and behavior in organizations. In: Dunnette MD (ed) Handbook of industrial and organizational psychology. Rand McNally, Chicago, pp 1351–1395Google Scholar
  36. Peterson M, Wilson JF (2002). The culture-work-health model and work stress. Am J Health Behav 26(1):16–24 (<Go to ISI>://WOS:000172656900002) CrossRefGoogle Scholar
  37. Poropat A, Arnold K, Ashton N, Brennan A, Skuse B (2016) A comparison of personality factors emerging within different English-speaking cultures. Pers Individ Differ 101:506–506. CrossRefGoogle Scholar
  38. Ragu-Nathan TS, Tarafdar M, Ragu-Nathan BS, Tu Q (2008) The consequences of technostress for end users in organizations: conceptual development and empirical validation. Inf Syst Res 19(4):417–433. CrossRefGoogle Scholar
  39. Reese E, Myftari E, McAnally HM, Chen Y, Neha T, Wang Q et al (2017) Telling the tale and living well: adolescent narrative identity, personality traits, and well-being across cultures (article). Child Dev 88(2):612–628. CrossRefGoogle Scholar
  40. Richard OC Barnett T, Dwyer S, Chadwick K (2004). Cultural diversity in management, firm performance, and the moderating role of entrepreneurial orientation dimensions. Acad Manag J 47(2):255–266 (<Go to ISI>://WOS:000221772600006) Google Scholar
  41. Ros M, Schwartz SH, Surkiss S (1999) Basic individual values, work values, and the meaning of work. Appl Psychol Int Rev 48(1):49–71. CrossRefGoogle Scholar
  42. Scherer KR (1997) The role of culture in emotion-antecedent appraisal. J Pers Soc Psychol 73(5):902–922 (<Go to ISI&gt ://A1997YD81800002) CrossRefGoogle Scholar
  43. Schwartz SH (1999) A theory of cultural values and some implications for work (article). Appl Psychol Int Rev 48(1):23–47. CrossRefGoogle Scholar
  44. Scott MJ, Guntuku SC, Lin W, Ghinea G (2016) Do personality and culture influence perceived video quality and enjoyment? IEEE Trans Multimed 18(9):1796–1807. CrossRefGoogle Scholar
  45. Sellberg C, Susi T (2014) Technostress in the office: a distributed cognition perspective on human–technology interaction. Cognit Technol Work 16(2):187–201. CrossRefGoogle Scholar
  46. Soper DS, Turel O (2016) Theory in North American information systems research: a culturomic analysis. Commun Assoc Inf Syst 38:477–500Google Scholar
  47. Spector PE, Cooper CL, Sparks K, Sanchez JI, Bussing W et al (2001) An international study of the psychometric properties of the Hofstede values survey module 1994: a comparison of individual and country/province level results. Appl Psychol Int Rev 50(2):269–281. CrossRefGoogle Scholar
  48. Spencer-Rodgers J, Williams MJ, Hamilton DL, Peng K, Wang L (2007) Culture and group perception: dispositional and stereotypic inferences about novel and national groups. J Pers Soc Psychol 93(4):525–543. CrossRefGoogle Scholar
  49. Srivastava SC (2015) Technostress creators and job outcomes: theorising the moderating influence of personality traits. Inf Syst J 25(4):355–401. CrossRefGoogle Scholar
  50. Tang CSK, Au WT, Schwarzer R, Schmitz G (2001) Mental health outcomes of job stress among Chinese teachers: role of stress resource factors and burnout. J Org Behav 22(8):887–901. CrossRefGoogle Scholar
  51. Tarafdar M, Tu Q, Ragu-Nathan BS, Ragu-Nathan TS (2007) The impact of technostress on role stress and productivity (article). J Manag Inf Syst 24(1):301–328. CrossRefGoogle Scholar
  52. Tarafdar M, Tu Q, Ragu-Nathan TS, Ragu-Nathan BS (2011) Crossing to the dark side: examining creators, outcomes, and inhibitors of technostress (article). Commun ACM, 54(9):113–120. CrossRefGoogle Scholar
  53. Tarafdar M, Pullins E, Ragu-Nathan TS (2014) Examining impacts of technostress on the professional salesperson’s behavioural performance. J Pers Sell Sales Manag 34(1):51–69Google Scholar
  54. Tarafdar M, D’Arcy J, Turel O, Gupta A (2015a) The dark side of information technology. MIT Sloan Manag Rev 56(2):600–623Google Scholar
  55. Tarafdar M, Pullins EB, Ragu-Nathan TS (2015b) Technostress: negative effect on performance and possible mitigations. Inf Syst J 25(2):103–132. CrossRefGoogle Scholar
  56. Taras V, Kirkman BL, Steel P (2010) Examining the impact of culture’s consequences: a three-decade, multilevel, meta-analytic review of Hofstede’s cultural value dimensions. J Appl Psychol 95(3):405–439. CrossRefGoogle Scholar
  57. Triandis HC (1993) Cultures and organizations—software of the mind—Hofstede, G. Adm Sci Q 38(1):132–134. CrossRefGoogle Scholar
  58. Triandis HC (2004) The many dimensions of culture—academic commentary. Acad Manag Exec 18(1):88–93 (<Go to ISI>://WOS:000220265400011) Google Scholar
  59. Turel O (2015) Quitting the use of a habituated hedonic information system: a theoretical model and empirical examination of Facebook users. Eur J Inf Syst 24(4):431–446. CrossRefGoogle Scholar
  60. Turel O (2016) Untangling the complex role of guilt in rational decisions to discontinue the use of a hedonic Information System. Eur J Inf Syst 25(5):432–447. CrossRefGoogle Scholar
  61. Turel O (2017) Organizational deviance via social networking site use: the roles of inhibition, stress and sex differences. Personal Individ Differ 119(1):311–316. CrossRefGoogle Scholar
  62. Turel O, Bechara A (2016) A triadic reflective-impulsive-interoceptive awareness model of general and impulsive information system use: behavioral tests of neuro-cognitive theory. Front Psychol 7:1–11. CrossRefGoogle Scholar
  63. Turel O, Bechara A (2017) Effects of motor impulsivity and sleep quality on swearing, interpersonally deviant and disadvantageous behaviors on online social networking sites. Personal Individ Differ 108(1):91–97. CrossRefGoogle Scholar
  64. Turel O, Gaudioso F (2018) Techno-stressors, distress and strain: the roles of leadership and competitive climates. Cognit Technol Work 20(2):309–324. CrossRefGoogle Scholar
  65. Turel O, Qahri-Saremi H (2016) Problematic use of social networking sites: antecedents and consequence from a dual system theory perspective. J Manag Inf Syst 33(4):1087–1116CrossRefGoogle Scholar
  66. Turel O, Serenko A (2010) Is mobile email addiction overlooked? Commun ACM 53(5):41–43. CrossRefGoogle Scholar
  67. Turel O, Serenko A (2012) The benefits and dangers of enjoyment with social networking websites. Eur J Inf Syst 21(5):512–528. CrossRefGoogle Scholar
  68. Turel O, Serenko A, Bontis N (2011a) Family and work-related consequences of addiction to organizational pervasive technologies. Inf Manag 48(2–3):88–95. CrossRefGoogle Scholar
  69. Turel O, Serenko A, Giles P (2011b) Integrating technology addiction and use: an empirical investigation of online auction sites. MIS Q 35(4):1043–1061CrossRefGoogle Scholar
  70. Turel O, Poppa NT, Gil-Or O (2018) Neuroticism magnifies the detrimental association between social media addiction symptoms and wellbeing in women, but not in men: a three-way moderation model. Psychiatr Q. CrossRefGoogle Scholar
  71. Tweed RG, White K, Lehman (2004) Culture, stress, and coping–internally- and externally-targeted control strategies of European Canadians, east Asian Canadians, and Japanese. J Cross Cult Psychol 35(6):652–668. CrossRefGoogle Scholar
  72. Van der Doef M, Maes S (1999) The job demand-control (-support) model and psychological well-being: a review of 20 years of empirical research. Work Stress 13(2):87–114. CrossRefGoogle Scholar
  73. Wang K, Shu Q, Tu Q (2008) Technostress under different organizational environments: an empirical investigation. Comput Hum Behav 24(6):3002–30013CrossRefGoogle Scholar
  74. Yoo B, Donthu N (2002) Culture’s consequences: comparing values, behaviors, institutions and organizations across nations, 2nd edition. J Mark Res 39(3):388–389 (<Go to ISI>://WOS:000177578400010) Google Scholar
  75. Yoo B, Donthu N, Lenartowicz T (2011) Measuring Hofstede’s five dimensions of cultural values at the individual level: development and validation of CVSCALE (article in journal). J Int Consum Mark 23(3/4):(5/9)):193–210Google Scholar
  76. Zhong BL, Liu TB, Huang JX, Fung HH, Chan SSC, Conwell Y et al (2016) Acculturative stress of Chinese rural-to-urban migrant workers: a qualitative study. PLoS One. CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Economics and ManagementSouth China Agricultural UniversityGuangzhouPeople’s Republic of China
  2. 2.Information Systems and Decision Sciences, College of Business and EconomicsCalifornia State University, FullertonFullertonUSA

Personalised recommendations