Factors Affecting the Adoption of Digital Marketing in Non-Profit Organizations: An Empirical Study
Abstract
:1. Introduction
2. Literature Review
2.1. Digital Marketing for NPOs
2.2. Characteristics of NPOs
2.3. Research on IT Adoption in NPOs
3. Hypothesis Development
4. Research Methodology
4.1. Data Collection
4.2. Measurement Development
5. Results
5.1. Measurement Model
5.2. Structural Model
6. Discussion and Conclusions
6.1. Implications for Researchers and Practitioners
6.2. Limitations and Further Research
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
- a1.
- Digital marketing will streamline my fundraising efforts.
- a2.
- Digital marketing is effective in managing donation campaigns.
- a3.
- Digital marketing will improve fundraising.
- a4.
- It would be very difficult to carry out digital marketing.
- a5.
- It will take a lot of effort to do digital marketing.
- a6.
- The knowledge and skills required to perform digital marketing would be complex.
- a7.
- Digital marketing fits well with the activities of my organization.
- a8.
- Digital marketing fits well with my organization’s work style.
- a9.
- Overall, digital marketing is a good fit for modern fundraising.
- a10.
- People in my organization are passionate about pursuing the organization’s common goals.
- a11.
- People in my organization believe that our shared goals provide valuable benefits to each other.
- a12.
- Members of my organization choose creative rather than conventional methods to solve business-related problems.
- a13.
- Members of my organization strive to improve performance by adopting innovative operational techniques.
- a14.
- People in my organization always try to create new value in their current work.
- a15.
- The cost of operating digital marketing is a burden to our organization.
- a16.
- Financial difficulties are expected when our organization operates digital marketing.
- a17.
- My organization lacks the human resources to implement digital marketing.
- a18.
- My organization has fewer people who can utilize computer technologies for performing digital marketing.
- a19.
- Fundraising competition among non-profit organizations is becoming more intense.
- a20.
- Competitive pressure on non-profit organizations (institutions) is increasing.
- a21.
- Internet-based digital marketing is the wave of the future.
- a22.
- Internet-based digital marketing is being actively used by non-profit organizations.
- a23.
- Digital marketing is an essential fundraising method for non-profit organizations today.
- a24.
- Our organization will adopt digital marketing.
- a25.
- Our organization will actively use digital marketing.
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Researcher | Information Technology | Base Theory | Target |
---|---|---|---|
Napoli et al. (2000) | Internet | - | individual |
MacKay et al. (2004) | E-commerce | Adoption model for SMEs | Organization |
Zhang and Gutierrez (2005) | IT | TPB | individual |
O’Hanlon and Chang (2007) | Internet | Adoption model for SMEs | Organization |
Ndubisi (2007) | E-commerce | - | Organization |
Carlos Pinho and Macedo (2008) | Internet | Adoption model for SMEs | Organization |
Curtis et al. (2010) | Social marketing | UTAUT | individual |
Zorn et al. (2011) | ICT | Institutional theory | Organization |
Miranda et al. (2016) | ERP | DOI | Organization |
Wraikat et al. (2017) | MIS | - | Organization |
Wright et al. (2017) | SaaS | TOE framework | Organization |
Albanna et al. (2022) | Social marketing applications | TAM/UTAUT | Organization |
Measure | Value | Frequency | Percentage |
---|---|---|---|
Gender | Male | 128 | 42.2 |
Female | 175 | 57.8 | |
- | 303 | 100 | |
Age | 20–29 | 27 | 8.0 |
30–39 | 47 | 15.5 | |
40–49 | 133 | 43.9 | |
Older than 50 | 96 | 31.7 | |
- | 303 | 100 | |
Religion | Atheist | 100 | 33.0 |
Christian | 148 | 48.8 | |
Catholic | 37 | 12.2 | |
Buddhist | 18 | 5.9 | |
- | 303 | 100 | |
Type of organization | Social welfare facility | 253 | 83.5 |
Civil society organizations | 14 | 4.6 | |
Culture and art organization | 1 | 0.3 | |
Charity | 3 | 1.0 | |
Other | 32 | 10.6 | |
- | 303 | 100 | |
Number of staffs | 10 or less | 53 | 17.5 |
11–30 | 109 | 36.0 | |
31–50 | 71 | 23.4 | |
51–80 | 42 | 13.9 | |
81–100 | 9 | 3.0 | |
More than 100 | 19 | 6.3 | |
- | 303 | 100 |
Construct | Item No. | C. Alpha | CR | AVE |
---|---|---|---|---|
Relative advantage | 3 | 0.931 | 0.956 | 0.879 |
Complexity | 3 | 0.861 | 0.915 | 0.782 |
Compatibility | 3 | 0.879 | 0.926 | 0.807 |
Common goal | 2 | 0.936 | 0.969 | 0.940 |
Entrepreneurship | 3 | 0.894 | 0.934 | 0.825 |
Lack of human resources | 2 | 0.877 | 0.942 | 0.889 |
Financial costs | 2 | 0.900 | 0.952 | 0.901 |
Competitive pressure | 2 | 0.876 | 0.941 | 0.889 |
Digital environment change | 3 | 0.819 | 0.893 | 0.734 |
Adoption | 2 | 0.960 | 0.980 | 0.962 |
Construct | RA | CM | CMP | CMO | ES | CST | HR | CP | DEC | AI |
---|---|---|---|---|---|---|---|---|---|---|
RA | (0.94) | |||||||||
CM | 0.19 | (0.88) | ||||||||
CMP | 0.71 | 0.24 | (0.90) | |||||||
CMO | 0.42 | 0.07 | 0.49 | (0.97) | ||||||
ES | 0.54 | 0.24 | 0.59 | 0.68 | (0.91) | |||||
CST | 0.21 | 0.44 | 0.26 | 0.34 | 0.29 | (0.94) | ||||
HR | 0.09 | 0.24 | 0.10 | 0.18 | 0.15 | 0.37 | (0.95) | |||
CP | 0.19 | 0.15 | 0.29 | 0.32 | 0.20 | 0.23 | 0.31 | (0.94) | ||
DEC | 0.68 | 0.21 | 0.70 | 0.45 | 0.44 | 0.25 | 0.25 | 0.44 | (0.86) | |
AI | 0.62 | 0.20 | 0.74 | 0.46 | 0.55 | 0.17 | 0.08 | 0.41 | 0.69 | (0.98) |
Mean | 5.63 | 5.00 | 5.26 | 5.39 | 4.94 | 4.78 | 5.22 | 5.47 | 5.68 | 5.24 |
SD | 1.37 | 1.33 | 1.30 | 1.23 | 1.36 | 1.49 | 1.47 | 1.23 | 1.17 | 1.43 |
Hypothesis | Sign | Path Coefficient | t-Value | p-Value | Testing | |
---|---|---|---|---|---|---|
H1. | Relative Advantage → Adoption | (+) | 0.081 | 1.163 | 0.123 | Rejected |
H2. | Complexity → Adoption | (+) | 0.026 | 0.465 | 0.321 | Rejected |
H3. | Compatibility → Adoption | (+) | 0.368 | 4.984 | 0.000 | Accepted |
H4. | Common Goals → Adoption | (+) | 0.005 | 0.073 | 0.471 | Rejected |
H5. | Entrepreneurship → Adoption | (+) | 0.157 | 2.180 | 0.015 | Accepted |
H6. | Financial costs → Adoption | (−) | −0.070 | −1.249 | 0.106 | Rejected |
H7. | Lack of Human Resources → Adoption | (−) | −0.093 | −2.180 | 0.015 | Accepted |
H8. | Competitive Pressure → Adoption | (+) | 0.175 | 3.398 | 0.000 | Accepted |
H9. | Digital Environment Change → Adoption | (+) | 0.267 | 3.817 | 0.000 | Accepted |
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Yoon, C. Factors Affecting the Adoption of Digital Marketing in Non-Profit Organizations: An Empirical Study. Adm. Sci. 2024, 14, 10. https://doi.org/10.3390/admsci14010010
Yoon C. Factors Affecting the Adoption of Digital Marketing in Non-Profit Organizations: An Empirical Study. Administrative Sciences. 2024; 14(1):10. https://doi.org/10.3390/admsci14010010
Chicago/Turabian StyleYoon, Cheolho. 2024. "Factors Affecting the Adoption of Digital Marketing in Non-Profit Organizations: An Empirical Study" Administrative Sciences 14, no. 1: 10. https://doi.org/10.3390/admsci14010010
APA StyleYoon, C. (2024). Factors Affecting the Adoption of Digital Marketing in Non-Profit Organizations: An Empirical Study. Administrative Sciences, 14(1), 10. https://doi.org/10.3390/admsci14010010