Abstract
The availability of low-cost Software-as-a-Service (SaaS) has made personal characteristics important in understanding technology adoption. This study examines how positive psychological capital (PsyCap) affects adoption of enterprise information system (EIS) using the Technology Acceptance Model (TAM). Data from 329 users was analyzed using structural equation modeling, finding perceived ease of use and usefulness influenced adoption intentions. Users with high PsyCap are more likely to adopt if they perceive the system as useful, while those with low PsyCap are not influenced by perceived ease of use or usefulness. Understanding personal characteristics like PsyCap is important in promoting EIS adoption.
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Data Availability
The datasets generated during the current study are available from the corresponding author on reasonable request.
References
Abdinnour S, Saeed K (2015) User perceptions towards an ERP system: comparing the post-implementation phase to the pre-implementation phase. J Enterp Inf Manag 28(2):243–259. https://doi.org/10.1108/JEIM-10-2013-0075
Abdullah F, Ward R (2016) Developing a general extended technology acceptance model for eLearning (GETAMEL) by analyzing commonly used external factors. Comput Hum Behav 56:238–256. https://doi.org/10.1016/j.chb.2015.11.036
Ajzen I (2020) The theory of planned behavior: frequently asked questions. Human Behav Emerg Technol 2(4):314-324. https://doi.org/10.1002/hbe2.195
Al-Emran M (2021) Evaluating the use of smartwatches for learning purposes through the integration of the technology acceptance model and task-technology fit. Int J Hum-Comp Inter 37(19):1874–1882. https://doi.org/10.1080/10447318.2021.1921481
Al-Okaily A, Al-Okaily M, Shiyyab F, Masadah W (2020) Accounting information system effectiveness from an organizational perspective. Manag Sci Lett 10(16):3991–4000. https://doi.org/10.5267/j.msl.2020.7.010
Antunes AC, Caetano A, Pina E, Cunha M (2017) Reliability and construct validity of the portuguese version of the psychological capital questionnaire. Psych Rep 120(3):520–536. https://doi.org/10.1177/0033294116686742
Bala H, Venkatesh V (2013) Changes in employees’ job characteristics during an enterprise system implementation: a latent growth modeling perspective. MIS Quar 37(4):1113–1140
Baron RM, Kenny DA (1986) The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51(6):1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173
Barth C, Koch S (2019) Critical success factors in ERP upgrade projects. Ind Manag Data Syst 119(3):656–675. https://doi.org/10.1108/imds-01-2018-0016
Bhattacherjee A (2001) Understanding information systems continuance: an expectation-confirmation model. MIS Quar 25(3):351–370. https://doi.org/10.2307/3250921
Broad JD, Luthans F (2020) Positive resources for psychiatry in the fourth industrial revolution: building patient and family focused psychological capital (PsyCap). Int Rev Psyc 32(7–8):542–554. https://doi.org/10.1080/09540261.2020.1796600
Burton-Jones A, Hubona GS (2005) Individual differences and usage behavior: revisiting a technology acceptance model assumption. ACM SIGMIS Database: DATABASE Adv Inf Syst 36(2):58–77. https://doi.org/10.1145/1066149.1066155
Cheung GW, Rensvold RB (2002) Evaluating goodness-of-fit indexes for testing measurement invariance. Struct Eq Model 9(2):233–255. https://doi.org/10.1207/S15328007SEM0902_5
Chintalapati N, Daruri VSK (2017) Examining the use of YouTube as a learning resource in higher education: scale development and validation of TAM model. Telemat Inform 34(6):853–860. https://doi.org/10.1016/j.tele.2016.08.008
Clark LA, Watson D (2019) Constructing validity: new developments in creating objective measuring instruments. Psych Asse Decm 12:1412–1427. https://doi.org/10.1037/pas0000626
Coeurderoy R, Guilmot N, Vas A (2014) Explaining factors affecting technological change adoption: a survival analysis of an information system implementation. Manage Deci 52(6):1082–1100. https://doi.org/10.1108/MD-10-2013-0540
Daniel RC, Embretson SE (2010) Designing cognitive complexity in mathematical problem-solving items. Appl Psyc Meas 34(5):348–364. https://doi.org/10.1177/0146621609349801
Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quar 13(3):319–340. https://doi.org/10.2307/249008
DeLone WH, McLean ER (2004) Measuring e-commerce success: applying the DeLone & McLean information systems success model. Int J Electron Commer 9(1):31–47. https://doi.org/10.1080/10864415.2004.11044317
Fan Y, Chen J, Shirkey G, John r, Wu S, Park H, Shao C, (2016) Applications of structural equation modeling (SEM) in ecological studies: an updated review. Ecol Process 5:19. https://doi.org/10.1186/s13717-016-0063-3
Gorla N, Somers TM, Wong B (2010) Organizational impact of system quality, information quality, and service quality. J Strateg Inf Syst 19(3):207–228. https://doi.org/10.1016/j.jsis.2010.05.001
Grönroos C (1984) A service quality model and its marketing implications. Eur J Mark 18(4):36–44. https://doi.org/10.1108/EUM0000000004784
Hair JF (2011) Multivariate data analysis: An overview. In: Lovric M (ed) International encyclopedia of statistical science. Springer, Berlin, pp 904–907
Hatlevik IK, Hatlevik OE (2018) Examining the relationship between teachers’ ICT self-efficacy for educational purposes, collegial collaboration, lack of facilitation and the use of ICT in teaching practice. Front Psycho 9:935. https://doi.org/10.3389/fpsyg.2018.00935
Hulland J, Baumgartner H, Smith KM (2018) Marketing survey research best practices: evidence and recommendations from a review of JAMS articles. J of the Acad Mark Sci 46:92–108. https://doi.org/10.1007/s11747-017-0532-y
Jiang JJ, Klein G, Carr CL (2002) Measuring information system service quality: SERVQUAL from the other side. MIS Quar 26(2):145–166. https://doi.org/10.2307/4132324
Joo J, Shin MM (2020) Resolving the tension between full utilization of contact tracing app services and user stress as an effort to control the COVID-19 pandemic. Serv Bus 14:461–478. https://doi.org/10.1007/s11628-020-00424-7
Lance CE, Butts MM, Michels LC (2006) The sources of four commonly reported cutoff criteria: what did they really say? Organ Res Meth 9(2):202–220. https://doi.org/10.1177/1094428105284919
Lee SM, Lee D (2020) Healthcare wearable devices: an analysis of key factors for continuous use intention. Serv Bus 14:503–531. https://doi.org/10.1007/s11628-020-00428-3
Luthans F, Avolio BJ (2014) Brief summary of psychological capital and introduction to the special issue. J Lead & Orga Stud 21(2):125–129. https://doi.org/10.1177/1548051813518073
Luthans F, Avolio BJ, Avey JB, Norman SM (2007) Positive psychological capital: measurement and relationship with performance and satisfaction. Pers Psyc 60:541–572. https://doi.org/10.1111/j.1744-6570.2007.00083.x
Luthans F, Broad JD (2022) Positive psychological capital to help combat the mental health fallout from the pandemic and VUCA environment. Organ Dyn 51(2):100817. https://doi.org/10.1016/j.orgdyn.2020.100817
Mackenzie SB (2001) Opportunities for improving consumer research through latent variable structural equation modeling. J Cons Rese 28(1):159–166. https://doi.org/10.1086/321954
Manca C, Grijalvo M, Palacios M, Kaulio M (2018) Collaborative workplaces for innovation in service companies: barriers and enablers for supporting new ways of working. Serv Bus 12:525–550. https://doi.org/10.1007/s11628-017-0359-0
Parasuraman A, Zeithaml VA, Berry L (1988) SERVQUAL: a multiple-item scale for measuring consumer perceptions of service quality. J Retail 64(1):12–40. https://doi.org/10.1037/t09264-000
Parasuraman A, Zeithaml VA, Malhotra A (2005) ES-QUAL: a multiple-item scale for assessing electronic service quality. J Serv Res 7(3):213–233. https://doi.org/10.1177/1094670504271156
Petter S, McLean ER (2009) A meta-analytic assessment of the DeLone and McLean IS success model: an examination of IS success at the individual level. Inf Manag 46(3):159–166. https://doi.org/10.1016/j.im.2008.12.006
Rha JS, Lee HH (2022) Research trends in digital transformation in the service sector: a review based on network text analysis. Serv Bus 16:77–98. https://doi.org/10.1007/s11628-022-00481-0
Saghafian M, Laumann K, Skogstad MR (2021) Stagewise overview of issues influencing organizational technology adoption and use. Front Psychol 12:630145. https://doi.org/10.3389/fpsyg.2021.630145
Senk C (2013) Adoption of security as a service. J Internet Serv Appl. https://doi.org/10.1186/1869-0238-4-11
Shin MM, Lee J, Chung JH (2022) Knowledge workers' existential affirmation and innovativeness: a Kierkegaardian redescription of Drucker. European J Innov Manag 25(2):390–412
Soltani Z, Navimipour NJ (2016) Customer relationship management mechanisms: a systematic review of the state of the art literature and recommendations for future research. Comp Human Behav 61:667–688. https://doi.org/10.1016/j.chb.2016.03.008
Sternad S, Gradisar M, Bobek S (2011) The influence of external factors on routine ERP usage. Ind Manag Data Syst 111(9):1511–1530. https://doi.org/10.1108/02635571111182818
Subaeki B, Manaf K, Effendi A, Savitri RP, Syabandyah F, Solihin HH (2019) Input-process-output dimensions for measuring the success of online tax information systems. 2019 IEEE 13th International Conference on Telecommunication Systems, Services, and Applications (TSSA), 45–50. https://doi.org/10.1109/TSSA48701.2019.8985484
Trimi S, Galanxhi H (2014) The impact of enterprise 2.0 in organizations. Serv Bus 8:405–424 (2014). https://doi.org/10.1007/s11628-014-0246-x
Venkatesh V, Bala H (2008) Technology Acceptance model 3 and a research agenda on interventions. Deci Scie 39(2):273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Quar 27(3):425–478. https://doi.org/10.2307/30036540
Verpaalen IAM, Holland RW, Ritter S, van Hooff M, Ebbers W, Metting E, van der Laan LN (2022) Resistance to contact tracing applications: The implementation process in a social context. Comp Huma Beha 134:107299. https://doi.org/10.1016/j.chb.2022.107299
Woo JP (2016) The concept and understanding of structural equation modeling. Han Narae Academy, Seoul
Wright DB (2003) Making friends with your data: improving how statistics are conducted and reported. Br J Educ Psychol 73(1):123–136. https://doi.org/10.1348/000709903762869950
Yang HL, Lin RX (2021) The privacy victim experience of SoLoMo services: impact on trust, service quality, and privacy concerns. Serv Bus 15:725–755. https://doi.org/10.1007/s11628-021-00464-7
Zaineldeen S, Hongbo L, Hassan BMA (2020) Technology acceptance model’ concepts, contribution, limitation, and adoption in education. Univers J Educ Res 8(11):5061–5071. https://doi.org/10.13189/ujer.2020.081106
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This paper was supported by Konkuk University in 2022 (2022-A019-0042).
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This research was supported by Konkuk University (2022-A019-0042)
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Lee, SH., Fogliasso, C.E., Jung, S. et al. User psychological states and enterprise information systems adoption: evidence from the United States, Zimbabwe, South Korea, and Paraguay. Serv Bus 17, 477–497 (2023). https://doi.org/10.1007/s11628-023-00534-y
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DOI: https://doi.org/10.1007/s11628-023-00534-y