Tales from the Dark Side of Technology Acceptance: The Dark Triad and the Technology Acceptance Model

被引:6
|
作者
Aplin-Houtz, Matthew J. [1 ]
Leahy, Sean [1 ]
Willey, Sarah [1 ]
Lane, Emily K. [1 ]
Sharma, Sachin [1 ]
Meriac, John [1 ]
机构
[1] Univ Missouri St Louis, Coll Business Adm, St Louis, MO 63103 USA
关键词
Technology acceptance; Dark triad; Narcissism; Dark personality traits; LEADER-MEMBER EXCHANGE; NARCISSISTIC PERSONALITY-DISORDER; INFORMATION-TECHNOLOGY; ORGANIZATIONAL-CHANGE; USER ACCEPTANCE; PERCEIVED EASE; DIRTY DOZEN; VULNERABLE NARCISSISM; DISCRIMINANT VALIDITY; AGE-DIFFERENCES;
D O I
10.1007/s10672-023-09453-6
中图分类号
F24 [劳动经济];
学科分类号
020106 ; 020207 ; 1202 ; 120202 ;
摘要
With the dramatic shifts in the workforce that have emerged in the post-COVID-19 world, workers' emotions have often presented very negatively, causing people to overtly display the dark aspects of their personality while at work. At the same time, organizations have been forced to adopt new technologies to fill the gaps in their desired outcomes and cope with changes in market demand. The ensuing clash between negative emotions and technological implementation may lead to intense conflicts and adverse work outcomes. This study hypothesizes a direct relationship between dark personality traits (narcissism, Machiavellianism, and psychopathy) and technology acceptance. Using a multiple regression model with a sample of general workers from various industries (n = 396), the study found that narcissism and psychopathy significantly impacted technology acceptance, while Machiavellianism did not. The findings offer valuable theoretical, practical, and managerial insights.
引用
收藏
页码:421 / 453
页数:33
相关论文
共 50 条
  • [1] The malevolent side of masstige consumers? behavior: The role of dark triad and technology propensity
    Iaia, Lea
    Leonelli, Simona
    Masciarelli, Francesca
    Christofi, Michael
    Cooper, Cary
    JOURNAL OF BUSINESS RESEARCH, 2022, 149 : 954 - 966
  • [2] Personality and technology acceptance: the influence of personality factors on the core constructs of the Technology Acceptance Model
    Svendsen, Gunnvald B.
    Johnsen, Jan-Are K.
    Almas-Sorensen, Live
    Vitterso, Joar
    BEHAVIOUR & INFORMATION TECHNOLOGY, 2013, 32 (04) : 323 - 334
  • [3] Extending the Technology Acceptance Model to assess automation
    Ghazizadeh, Mahtab
    Lee, John D.
    Boyle, Linda Ng
    COGNITION TECHNOLOGY & WORK, 2012, 14 (01) : 39 - 49
  • [4] A model of sustainable household technology acceptance
    Ahn, Mira
    Kang, Jiyun
    Hustvedt, Gwendolyn
    INTERNATIONAL JOURNAL OF CONSUMER STUDIES, 2016, 40 (01) : 83 - 91
  • [5] The dark side of elderly acceptance of preventive mobile health services in China
    Guo, Xitong
    Sun, Yongqiang
    Wang, Nan
    Peng, Zeyu
    Yan, Ziyu
    ELECTRONIC MARKETS, 2013, 23 (01) : 49 - 61
  • [6] Assessing the Acceptance of Cyborg Technology with a Hedonic Technology Acceptance Model
    de Andres-Sanchez, Jorge
    Arias-Oliva, Mario
    Souto-Romero, Mar
    Gene-Albesa, Jaume
    COMPUTERS, 2024, 13 (03)
  • [7] Technology acceptance model: a literature review from 1986 to 2013
    Marangunic, Nikola
    Granic, Andrina
    UNIVERSAL ACCESS IN THE INFORMATION SOCIETY, 2015, 14 (01) : 81 - 95
  • [8] The dark side of love: Love styles and the Dark Triad
    Jonason, Peter K.
    Kavanagh, Phillip
    PERSONALITY AND INDIVIDUAL DIFFERENCES, 2010, 49 (06) : 606 - 610
  • [9] Responsible technology acceptance: Model development and application to consumer acceptance of Smart Grid technology
    Toft, Madeleine Broman
    Schuitema, Geertje
    Thogersen, John
    APPLIED ENERGY, 2014, 134 : 392 - 400
  • [10] HOW MANY TECHNOLOGY TYPES ARE THERE? PRELIMINARY RESULTS FROM THE TECHNOLOGY ACCEPTANCE LITERATURE
    Aguirre-Urreta, Miguel I.
    Ellis, Michael E.
    Sun, Wenying N.
    Liu, Yucong
    Lee, Kiljae K.
    Mao, Juan
    Marakas, George M.
    AMCIS 2010 PROCEEDINGS, 2010,