User Acceptance in Non-Profit Organization Applications: The Role of Intention to Use, Perceived Usefulness, and Community Commitment

  • Gianna Jasmine Pramono Bina Nusantara University
  • Togar Alam Napitulu Bina Nusantara University
Keywords: aplikasi, mobile, aplikasi organisasi nirlaba, model kesuksesan informasi, technology acceptance model.

Abstract

Penggunaan teknologi aplikasi yang diadopsi oleh organisasi nirlaba telah menjadi instrumen penting untuk membantu gereja-gereja sebagai organisasi nirlaba mencapai tujuan mereka dan melaksanakan layanan dan kegiatan mereka. Penelitian ini bertujuan untuk mengkaji penerimaan pengguna aplikasi dalam sebuah organisasi nirlaba dengan menggunakan model yang diadaptasi dari Technology Acceptance Model (TAM), dan Model Kesuksesan Sistem Informasi (ISSM) serta dengan penambahan tiga variabel yang telah disesuaikan dengan keadaan aplikasi pada organisasi nirlaba. Model ini diuji dengan persamaan partial least square-structural equation menggunakan aplikasi SmartPLS. Penelitian ini menggunakan metode kuantitatif dengan teknik survei dan responden sengaja ditentukan. Data didistribusikan kepada 136 responden yang merupakan pengguna aplikasi dari salah satu gereja terbesar di Indonesia. Hasil penelitian menunjukkan bahwa faktor kunci yang mempengaruhi penerimaan pengguna aplikasi tersebut adalah niat untuk menggunakan (intention to use), kegunaan yang dirasakan (perceive usefulness), dan komitmen komunitas (community commitment). Variabel lainnya adalah hasil yang dapat dibuktikan (result demonstrability), kemudahan penggunaan yang dirasakan (perceived ease of use), computer playfulness, dan rasa memiliki (sense of belonging). Namun, ada hal yang harus dipertimbangkan yaitu penelitian ini hanya mencakup aplikasi organisasi nirlaba di sektor gereja. Penelitian lebih lanjut dapat dilakukan untuk mengetahui apakah variabel ini juga dapat digunakan di sektor nirlaba lainnya.

Downloads

Download data is not yet available.

References

A. T. Haryanto, “Pengguna Internet Indonesia Tembus 202,6 Juta,†2021. https://inet.detik.com/cyberlife/d-5407210/pengguna-internet-indonesia-tembus-2026-juta.

T. B. Zilber and Y. C. Goodman, “High-technology in the time of corona: a critical institutional reading,†Inf. Organ., vol. 31, no. 1, p. 100342, 2021, doi: 10.1016/j.infoandorg.2021.100342.

P. J. Ågerfalk, K. Conboy, and M. D. Myers, “Information systems in the age of pandemics: COVID-19 and beyond,†European Journal of Information Systems. 2020, doi: 10.1080/0960085X.2020.1771968.

“Impact of Coronavirus Pandemic on Education,†J. Educ. Pract., 2020, doi: 10.7176/jep/11-13-12.

M. Farboodi, G. Jarosch, and R. Shimer, “Internal and external effects of social distancing in a pandemic,†J. Econ. Theory, vol. 196, p. 105293, 2021, doi: 10.1016/j.jet.2021.105293.

H. Shen, M. Fu, H. Pan, Z. Yu, and Y. Chen, “The Impact of the COVID-19 Pandemic on Firm Performance,†Emerg. Mark. Financ. Trade, 2020, doi: 10.1080/1540496X.2020.1785863.

D. Vargo, L. Zhu, B. Benwell, and Z. Yan, “Digital technology use during COVID-19 pandemic: A rapid review,†Hum. Behav. Emerg. Technol., vol. 3, no. 1, pp. 13–24, 2021, doi: 10.1002/hbe2.242.

S. Kudyba, “COVID-19 and the Acceleration of Digital Transformation and the Future of Work,†Inf. Syst. Manag., vol. 37, no. 4, pp. 284–287, 2020, doi: 10.1080/10580530.2020.1818903.

D. Chadee, S. Ren, and G. Tang, “Is digital technology the magic bullet for performing work at home? Lessons learned for post COVID-19 recovery in hospitality management,†Int. J. Hosp. Manag., vol. 92, p. 102718, 2021, doi: 10.1016/j.ijhm.2020.102718.

J. R. Bryson, L. Andres, and A. Davies, “COVID-19, Virtual Church Services and a New Temporary Geography of Home,†Tijdschr. voor Econ. en Soc. Geogr., vol. 111, no. 3, pp. 360–372, 2020, doi: 10.1111/tesg.12436.

R. Beamish, “The distanced Church: reflections on doing Church online,†Pract. Theol., vol. 14, no. 1–2, pp. 161–164, 2021, doi: 10.1080/1756073x.2021.1878193.

M. R. C. Santos and R. M. S. Laureano, “COVID-19-Related Studies of Nonprofit Management: A Critical Review and Research Agenda,†Voluntas, 2021, doi: 10.1007/s11266-021-00432-9.

A. Rangone and L. Busolli, “Managing charity 4.0 with Blockchain: a case study at the time of Covid-19,†Int. Rev. Public Nonprofit Mark., vol. 18, no. 4, pp. 491–521, 2021, doi: 10.1007/s12208-021-00281-8.

J. Loomis, “The COVID Wildfire: Non-Profit Organizational Challenge and Opportunity,†Can. J. Nonprofit Soc. Econ. Res., vol. 11, no. 2, p. 8, 2020, doi: 10.29173/cjnser.2020v11n2a396.

N. B. Advisor, “Research shows nonprofit boards improved during COVID due to digital tech adoption,†Nonprofit Bus. Advis., vol. 2021, no. 383, pp. 1–3, 2021, doi: 10.1002/nba.31041.

J. McNutt, C. Guo, L. Goldkind, and S. An, “Technology in Nonprofit Organizations and Voluntary Action,†Volunt. Rev., vol. 3, no. 1, pp. 1–63, 2020, doi: 10.1163/24054933-12340020.

F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,†MIS Q. Manag. Inf. Syst., 1989, doi: 10.2307/249008.

V. Venkatesh and H. Bala, “Technology acceptance model 3 and a research agenda on interventions,†Decis. Sci., 2008, doi: 10.1111/j.1540-5915.2008.00192.x.

M. Kamal, “UNDERSTANDING THE IMPACT OF INFORMATION TECHNOLOGY IN NONPROFITS: INSIGHTS FROM A MULTI-CASE ANALYSIS,†pp. 1–17, 2020.

C. H. K. Chui and C. H. Chan, “The role of technology in reconfiguring volunteer management in nonprofits in Hong Kong: Benefits and discontents,†Nonprofit Manag. Leadersh., vol. 30, no. 1, pp. 89–111, 2019, doi: 10.1002/nml.21369.

J. R. Saura, P. Palos-Sanchez, and F. Velicia-Martin, “What Drives Volunteers to Accept a Digital Platform That Supports NGO Projects?,†Front. Psychol., vol. 11, no. March, pp. 1–14, 2020, doi: 10.3389/fpsyg.2020.00429.

P. Lal, “Analyzing determinants influencing an individual׳s intention to use social commerce website,†Futur. Bus. J., vol. 3, no. 1, pp. 70–85, 2017, doi: 10.1016/j.fbj.2017.02.001.

C. M. K. Cheung and M. K. O. Lee, “What drives consumers to spread electronic word of mouth in online consumer-opinion platforms,†Decis. Support Syst., vol. 53, no. 1, pp. 218–225, 2012, doi: 10.1016/j.dss.2012.01.015.

A. Elshafey, C. C. Saar, E. B. Aminudin, M. Gheisari, and A. Usmani, “Technology acceptance model for augmented reality and building information modeling integration in the construction industry,†J. Inf. Technol. Constr., vol. 25, no. August 2018, pp. 161–172, 2020, doi: 10.36680/j.itcon.2020.010.

H. Wraikat, A. Bellamy, and H. Tang, “Exploring Organizational Readiness Factors for New Technology Implementation within Non-Profit Organizations,†Open J. Soc. Sci., vol. 05, no. 12, pp. 1–13, 2017, doi: 10.4236/jss.2017.512001.

D. A. Jeffrey, “Testing the Technology Acceptance Model 3 (TAM 3) with the Inclusion of Change Fatigue and Overload , in the Context of Faculty from Seventh- day Adventist Universities : A Revised Model,†Dissertations, vol. 3, no. Paper 1581, p. 166, 2015.

Y. Zheng, “Using Mobile Donation to Promote International Fundraising: A Situational Technology Acceptance Model,†Int. J. Strateg. Commun., vol. 14, no. 2, pp. 73–88, 2020, doi: 10.1080/1553118X.2020.1720026.

C. Buabeng-Andoh, “Predicting students’ intention to adopt mobile learning,†J. Res. Innov. Teach. Learn., vol. 11, no. 2, pp. 178–191, 2018, doi: 10.1108/jrit-03-2017-0004.

B. Florenthal and M. Awad, “A cross-cultural comparison of millennials’ engagement with and donation to nonprofits: a hybrid U&G and TAM framework,†Int. Rev. Public Nonprofit Mark., no. 0123456789, 2021, doi: 10.1007/s12208-021-00292-5.

J. A. Kumar, B. Bervell, N. Annamalai, and S. Osman, “Behavioral intention to use mobile learning: Evaluating the role of self-efficacy, subjective norm, and whatsapp use habit,†IEEE Access, vol. 8, pp. 208058–208074, 2020, doi: 10.1109/ACCESS.2020.3037925.

L. A. Slatten, “An application and extension of the Technology Acceptance Model to nonprofit certification,†Acad. Manag. 2009 Annu. Meet. Green Manag. Matters, AOM 2009, 2009, doi: 10.5465/ambpp.2009.44244348.

Z. A. Solangi, F. Al Shahrani, and S. M. Pandhiani, “Factors affecting successful implementation of elearning: Study of colleges and institutes sector RCJ Saudi Arabia,†Int. J. Emerg. Technol. Learn., vol. 13, no. 6, pp. 223–230, 2018, doi: 10.3991/ijet.v13i06.8537.

V. Venkatesh and F. D. Davis, “Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies,†Manage. Sci., 2000, doi: 10.1287/mnsc.46.2.186.11926.

W. H. DeLone and E. R. McLean, “The DeLone and McLean model of information systems success: A ten-year update,†2003, doi: 10.1080/07421222.2003.11045748.

Y. Tjong, “Successful measurement of Content Management System implementation,†2017, doi: 10.1109/ICIMTech.2016.7930351.

W. M. Lim, A. L. Lim, and C. S. C. Phang, “Toward a conceptual framework for social media adoption by non-urban communities for non-profit activities: Insights from an integration of grand theories of technology acceptance,†Australas. J. Inf. Syst., vol. 23, pp. 1–11, 2019, doi: 10.3127/ajis.v23i0.1835.

C. Chowa, “Information System Success : Individual and Organizational Determinants,†vol. 52, no. 12, pp. 1849–1864, 2006, doi: 10.1287/mnsc.1060.0583.

F. Wahyudi, H. Respati, and Y. Tomo Ardianto, “Information and Knowledge Management Study on DAPODIK Information System: User Satisfaction as Mediation of System Quality and Information Quality on Net Benefit,†Inf. Knowl. Manag., vol. 7, no. 7, pp. 53–62, 2017, [Online]. Available: www.iiste.org.

J. Guo, Z. Liu, and Y. Liu, “Key success factors for the launch of government social media platform: Identifying the formation mechanism of continuance intention,†Comput. Human Behav., vol. 55, pp. 750–763, 2016, doi: 10.1016/j.chb.2015.10.004.

T. P. C. G. GMS, Connect Group Training 1. CV Pustaka Rajawali, 2020.

B. M. K. Hagerty, J. Lynch-sauer, K. L. Patusky, M. Bouwsema, and P. Collier, “Sense of Belonging : A Vital Mental Health Concept,†vol. VI, no. 3, pp. 172–177, 1992.

P. J. Bateman, P. H. Gray, B. S. Butler, P. J. Bateman, P. H. Gray, and B. S. Butler, “Research Note — The Impact of Community Commitment on Participation in Online Communities The Impact of Community Commitment on Participation in Online Communities,†no. August 2014, 2011.

J. Chen and X. Shen, “Consumers’ decisions in social commerce context: An empirical investigation,†Decis. Support Syst., 2015, doi: 10.1016/j.dss.2015.07.012.

T. Liang, Y. Ho, Y. Li, and E. Turban, “What Drives Social Commerce : The Role of Social Support and Relationship Quality,†vol. 16, no. 2, pp. 69–90, 2012, doi: 10.2753/JEC1086-4415160204.

J. W. Creswell, “Research Design: Qualitative, Quantitative, and Mixed Method Approaches,†3rd ed., California: SAGE Publication, Inc., 2016.

L. M. Given, The Sage Encyclopedia of Qualitative Research Methods. California: SAGE Publication, Inc., 2008.

S. Ellen, “Slovin’s Formula Sampling Techniques,†2020. https://sciencing.com/slovins-formula-sampling-techniques-5475547.html.

K. M. S. Faqih and M. I. R. M. Jaradat, “Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective,†J. Retail. Consum. Serv., 2015, doi: 10.1016/j.jretconser.2014.09.006.

W. Zhang and O. Gutierrez, “Information technology acceptance in the social services sector context: An exploration,†Soc. Work, vol. 52, no. 3, pp. 221–231, 2007, doi: 10.1093/sw/52.3.221.

B. Okumus, F. Ali, A. Bilgihan, and A. Bulent, “International Journal of Hospitality Management Psychological factors in fl uencing customers ’ acceptance of smartphone diet apps when ordering food at restaurants,†Int. J. Hosp. Manag., vol. 72, no. January, pp. 67–77, 2018, doi: 10.1016/j.ijhm.2018.01.001.

L. A. D. Slatten, “Something old and something new: Using the technology acceptance model to evaluate nonprofit certification,†Int. J. Organ. Theory Behav., vol. 15, no. 3, pp. 423–449, 2012, doi: 10.1108/IJOTB-15-03-2012-B003.

R. Cheung and D. Vogel, “Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning,†Comput. Educ., vol. 63, pp. 160–175, 2013, doi: 10.1016/j.compedu.2012.12.003.

Y. Li and H. Shang, “Information & Management Service quality , perceived value , and citizens ’ continuous-use intention regarding e-government : Empirical evidence from China,†Inf. Manag., no. August, p. 103197, 2019, doi: 10.1016/j.im.2019.103197.

V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User acceptance of information technology: Toward a unified view,†MIS Q. Manag. Inf. Syst., 2003, doi: 10.2307/30036540.

A. Zuiderwijk, M. Janssen, and Y. K. Dwivedi, “Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology,†Gov. Inf. Q., 2015, doi: 10.1016/j.giq.2015.09.005.

Y. Park, “Are Physicians Likely to Adopt Emerging Mobile Technologies ? Attitudes and Innovation Factors Affecting Smartphone Use in the Southeastern United States.â€

K. Ho, C. Ho, and M. C. Id, “Theoretical integration of user satisfaction and technology acceptance of the nursing process information system,†pp. 1–14, 2019.

R. Agarwal and V. Venkatesh, “Assessing a Firm ’ s Web Presence : A Heuristic Evaluation Procedure for the Measurement of Usability,†no. May 2014, 2002.

Y. Feng, L. Du, and Q. Ling, “HOW SOCIAL MEDIA STRATEGIES OF NONPROFIT ORGANIZATIONS AFFECT CONSUMER DONATION INTENTION AND WORD-OF-MOUTH,†vol. 45, no. 11, pp. 1775–1786, 2017.

G. Rodrigues, J. Sarabdeen, and S. Balasubramanian, “Factors that Influence Consumer Adoption of E- government Services in the UAE : A UTAUT Model Perspective,†vol. 2861, no. February, 2016, doi: 10.1080/15332861.2015.1121460.

K. Chen and A. H. S. Chan, “Technovation Predictors of gerontechnology acceptance by older Hong Kong Chinese,†Technovation, vol. 34, no. 2, pp. 126–135, 2014, doi: 10.1016/j.technovation.2013.09.010.

L. Curtis et al., “Adoption of social media for public relations by nonprofit organizations,†vol. 36, pp. 90–92, 2010, doi: 10.1016/j.pubrev.2009.10.003.

D. Tri Kurniawati, N. H. Rosita, and R. Anggraeni, “The role of emotional marketing and UTAUT on donation intention through social media,†Int. J. Res. Bus. Soc. Sci. (2147- 4478), vol. 10, no. 1, pp. 38–46, 2021, doi: 10.20525/ijrbs.v10i1.1026.

D. Opoku, R. O. Okyireh, and P. S. Kissi, “Consumer Intention towards the Use of Bible Application,†Am. J. Educ. Learn., vol. 5, no. 1, pp. 72–86, 2020.

K. M. S. Faqih and M. I. R. M. Jaradat, “Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective,†J. Retail. Consum. Serv., vol. 22, pp. 37–52, 2015, doi: 10.1016/j.jretconser.2014.09.006.

J. Bananuka, M. Kasera, G. M. Najjemba, D. Musimenta, B. Ssekiziyivu, and S. N. L. Kimuli, “Attitude: mediator of subjective norm, religiosity and intention to adopt Islamic banking,†J. Islam. Mark., vol. 11, no. 1, pp. 81–96, 2020, doi: 10.1108/JIMA-02-2018-0025.

Y. Chen, R. Dai, J. Yao, and Y. Li, “Donate time or money? The determinants of donation intention in online crowdfunding,†Sustain., vol. 11, no. 16, 2019, doi: 10.3390/su11164269.

A. Hanif, F. Q. Jamal, and M. Imran, “Extending the technology acceptance model for use of e-learning systems by digital learners,†IEEE Access, vol. 6, no. c, pp. 73395–73404, 2018, doi: 10.1109/ACCESS.2018.2881384.

K. F. Yuen, L. Cai, G. Qi, and X. Wang, “Factors influencing autonomous vehicle adoption: an application of the technology acceptance model and innovation diffusion theory,†Technol. Anal. Strateg. Manag., vol. 33, no. 5, pp. 505–519, 2021, doi: 10.1080/09537325.2020.1826423.

Y. Carolina, “Towards AIS success and its implications to information quality and user satisfaction,†Int. J. Appl. Bus. Econ. Res., vol. 13, no. 7, pp. 5029–5042, 2015.

U. M. Dholakia and A. Herrmann, “The Social Influence of Brand Community: Evidence from European Car Clubs,†vol. 69, no. July, pp. 19–34, 2005.

V. Venkatesh and M. G. Morris, “Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior,†MIS Q. Manag. Inf. Syst., 2000, doi: 10.2307/3250981.

S. Yusuf, “Instrument development to measure the non-profit organisation website user satisfaction and user willingness to donate INSTRUMENT DEVELOPMENT TO MEASURE THE NON-PROFIT ORGANISATION WEBSITE USER SATISFACTION AND USER,†no. January 2019, 2018.

T. Raykov and G. A. Marcoulides, A First Course in Structural Equation Modeling (Second Edition). 2006.

SmartPLS, “PLS-SEM compared With CB-SEM,†2019. https://www.smartpls.com/documentation/learn-pls-sem-and-smartpls/pls-sem-compared-with-cbsem.

H. Latan and I. Ghozali, “Partial Least Squares: Konsep, Teknik dan Aplikasi SmartPLS 2.0 M3,†2012.

J. F. Hair, C. M. Ringle, and M. Sarstedt, “PLS-SEM: Indeed a silver bullet,†J. Mark. Theory Pract., vol. 19, no. 2, pp. 139–152, 2011, doi: 10.2753/MTP1069-6679190202.

C. M. R. and M. S. S. Joseph F. Hair, Jr., G. Tomas M. Hult, “A Primer on Partial Least Squares Structural Equation Modeling,†Long Range Plann., vol. 46, no. 1–2, pp. 184–185, 2013, doi: 10.1016/j.lrp.2013.01.002.

M. P. N. Janadari, Subramaniam, S. Ramalu, C. C. Wei, and O. Y. Abdullah, “Evaluation of measurement and structural model of the reflective model constructs in PLS-SEM,†Sixth Int. Symp. South East. Univ. Sri Lanka, no. September, pp. 187–194, 2018, [Online]. Available: http://www.seu.ac.lk/researchandpublications/symposium/6th/IntSym 2016 proceeding final 2 (1) - Page 187-194.pdf.

J. F. Hair, G. T. Hult, C. M. Ringle, and M. Sarstedt, “A Primer On Partial Least Squares Structural Equation Modeling.,†2014.

M. Sarstedt, C. M. Ringle, and J. F. Hair, Partial Least Squares Structural Equation Modeling, no. September. 2017.

M. Yusup, A. Hardiyana, and I. Sidharta, “User Acceptance Model on E-Billing Adoption: A Study of Tax Payment by Government Agencies,†Asia Pacific J. Multidiscip. Res., no. December, 2015, [Online]. Available: http://www.apjmr.com/apjmr-vol-3-no-4-part-v/.

J. A. Kumar, B. Bervell, N. Annamalai, and S. Osman, “Behavioral intention to use mobile learning: Evaluating the role of self-efficacy, subjective norm, and whatsapp use habit,†IEEE Access, 2020, doi: 10.1109/ACCESS.2020.3037925.

Published
2022-08-18
How to Cite
Pramono, G., & Napitulu, T. (2022). User Acceptance in Non-Profit Organization Applications: The Role of Intention to Use, Perceived Usefulness, and Community Commitment. ITEJ (Information Technology Engineering Journals), 7(1), 53 - 76. https://doi.org/10.24235/itej.v7i1.94
Section
Articles