Blockchain Technology (BCT) is an important and emerging sub discipline in information technology that is progressively being implemented in every field. This study used a quantitative research approach to identify the key factors influencing the acceptance of Blockchain Technology (BCT) implementation and usage among university librarians in Pakistan. In this research Modified Technology Acceptance Model (MTAM) applied as the theoretical framework to assess the participants’ perceptions of various constructs. These include, ease of blockchain technology use, usefulness, librarians’ behavioral intentions, skills, organizational infrastructure and performance by the implementations of BCT. A cross-sectional survey was conducted targeting 255 university librarians from both public and private institutions in Pakistan. The research received high response rate of 89.41% (228 responses). The Structural Equation Modeling (SEM) utilized on Partial Least Squares (PLS) to analyze the data. The research findings revealed that all hypotheses based on the Modified Technology Acceptance Model (MTAM) were statistically significant. While BCT-based services are being introduced in Pakistani university libraries, full implementation remains lacking. Notably, the attitude of librarians was identified as the most influential factor for the development of BCT. This research contributes to the academic discourse by proposing a modified MTAM model within the context of BCT adoption in university libraries. The findings have also, both theoretical and practical implications, offering a framework for developing strategies to enhance BCT implementation in university libraries across Pakistan.
AhmadMAhmadKBhattiR (2023) Assessing the impact of knowledge management factors on digital resources acceptance: A survey of postgraduate students of public sector universities of Punjab. Electronic Library41(5): 617–640.
2.
AithalPSaavedraPAithalS, et al. (2021) Blockchain technology and its types-A short review. International Journal of Applied Science and Engineering9: 189–200.
3.
Al-SaediKAl-EmranMRamayahT, et al. (2020) Developing a general extended UTAUT model for M-payment adoption. Technology in Society62: 101293. Elsevier.
4.
Al-TalafhahKMAAplopFDaradkehM, et al. (2023) Big data analytics and healthcare performance: A unified model. In: AIP Conference Proceedings, 2023. AIP Publishing.
5.
AlhashmiSFSalloumSAMhamdiC (2019) Implementing artificial intelligence in the United Arab Emirates healthcare sector: An extended technology acceptance model. Int. J. Inf. Technol. Lang. Stud3(3): 27–42.
6.
AndersonPF (1988) Expert systems. Expertise, and the Library and Information Professions. Library and Information Science Research10(4): 367–388. ERIC.
7.
AnnaNEVMannanEF (2020) Big data adoption in academic libraries: A literature review. Library Hi Tech News37(4): 1–5. Emerald Publishing Limited.
8.
AnwarFKhanBKiahM, et al. (2022) A comprehensive insight into blockchain technology: Past development, present impact and future considerations. International Journal of Advanced Computer Science and Applications13: 2022.
9.
AwwadMSAl-MajaliSM (2015) Electronic library services acceptance and use: An empirical validation of unified theory of acceptance and use of technology. The Electronic Library33(6): 1100–1120. Emerald Group Publishing Limited.
10.
AydarMAyvazSCetinSC (2019) Towards a Blockchain based digital identity verification, record attestation and record sharing system. Epub ahead of print 2019.
11.
BirkelHSHartmannE (2020) Internet of Things – the future of managing supply chain risks. Supply Chain Management25(5): 535–548.
12.
BlunchNJ (2012) Introduction to structural equation modeling using IBM SPSS statistics and AMOS. London, UK: Sage Publications Ltd. Epub ahead of print 2012.
13.
BuduKWAYinpingMMirekuKK (2018) Investigating the effect of behavioral intention on e-learning systems usage: Empirical study on tertiary education institutions in Ghana. Mediterranean Journal of Social Sciences9(3). doi:https://doi.org/10.2478/mjss-2018-0062
14.
ChaoC-M (2019) Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology10: 1652. Frontiers Media SA.
15.
ChenXZhangDWangB, et al. (2024) Application-based big data development framework for health sciences libraries. Health Information and Libraries Journal41(3): 324–329.
16.
ChengEWL (2019) Choosing between the theory of planned behavior (TPB) and the technology acceptance model (TAM). Educational Technology Research and Development67: 21–37. Springer.
17.
ChuangF-HWengH-CHsiehP-N (2019) A qualitative study of barriers to innovation in academic libraries in Taiwan. Library Management40(6/7): 402–415. Emerald Publishing Limited.
18.
CoghillJG (2018) Blockchain and its implications for libraries. Journal of Electronic Resources in Medical Libraries15(2): 66–70. Routledge.
19.
CreswellJW (2003) Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Thousand Oaks, CA: Sage Publications.
20.
CruzJD (2023) Classroom Assessment Thoughts, Skills, and Practices of Secondary School Mathematics Teachers: An In-Depth Analysis. Universal Journal of Educational Research2(2): 184–190.
21.
CruzKFSMendesGHSLizarelliFL, et al. (2020) Antecedents and consequences of library service innovation: An investigation into Brazilian academic libraries. The Journal of Academic Librarianship46(6): 102235. Elsevier.
22.
DavisFD (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of. MIS Quarterly13(3): 319–340.
23.
EmmanuelVOEfeminiMYahayaDO, et al. (2023) Application of blockchain technology to 21st century library services: Benefits and best practices. Data and Metadata2: 59.
24.
EstevesJCurtoJ (2013) A risk and benefits behavioral model to assess intentions to adopt big data. In: Proceedings of the 10th international conference on intellectual capital, knowledge management and organisational learning: ICICKM, 2013.
25.
FinkLYogevNEvenA (2017) Business intelligence and organizational learning: An empirical investigation of value creation processes. Information and Management54(1): 38–56. Elsevier B.V.
26.
FrederickDE (2019) Blockchain, libraries and the data deluge. Library Hi Tech News36(10): 1–7.
27.
HairJF (2011) Multivariate data analysis: An overview BT . In: LovricM (eds) International Encyclopedia of Statistical Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 904–907.
28.
HairJFBlackWCBabinBJ, et al. (2006) Multivariate data analysis (Vol. 6. Upper Saddle River, NJ: Pearson Prentice Hall. Epub ahead of print 2006.
29.
HasanSKumarSPandaS, et al. (2024) Academic Libraries: Sustaining Excellence Through Innovation & Technology. New Delhi, India: Synergy Books India.
30.
HenselerJRingleCMSarstedtM (2015) A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science43(1): 115–135. Springer Science and Business Media, LLC.
31.
IslamAYMAAhmadKRafiM, et al. (2020) Performance-based evaluation of academic libraries in the big data era. Journal of Information Science47(4): 458–471.
32.
IslamAYMARafiMAhmadK (2022) Analyzing the impact of technology incentives on community digital inclusion using structural equation modeling. Library Hi Tech (May)42(3): 826–848.
33.
IslamAYMARafiMAhmadK (2024) Analyzing the impact of technology incentives on community digital inclusion using structural equation modeling. Library Hi Tech42(3): 826–848. Emerald Publishing Limited.
34.
IsonJRapackiKMénagerH, et al. (2016) Tools and data services registry: A community effort to document bioinformatics resources. Nucleic Acids Research44(D1): D38–D47.
35.
JhaSK (2023) Application of blockchain technology in libraries and information centers services. Library Hi Tech Newsahead-of-p(ahead-of-print). Emerald Publishing Limited.
36.
JinPYuLAhmadK, et al. (2024) Evaluating the factors influencing the adoption of digital culture among university students in developing areas of South Punjab. Information Development. SAGE Publications Ltd: 02666669241270909.
37.
KangZHamidAAhmadK, et al. (2024) Research on internet of things (IoT) indexed in Web of Science from 2011–2022. Information Development. DOI: https://doi.org/10.1177/02666669241247783.
38.
KaranjiaBinaiferShankar LakshmanSG (2017) Blockchain Technology in India: Opportunities and Challenges. Deloitte17.
39.
Kayode Sunday John DadaKSJMohammedHTDadaKSJ, et al. (2024) Connecting the Dots Through the Adoption of Blockchain Technologies in Library Services. Https://Services.Igi-Global.Com/Resolvedoi/Resolve.Aspx?Doi=10.4018/978-1-6684-7366-5.Ch009. IGI Global, pp. 1–18.
40.
KenediJSatriawanBKhaddafiM (2022) The effect of organizational culture on employee performance. International Journal of Educational Review, Law and Social Sciences (IJERLAS)2(6): 817–826.
41.
KhanAUMaZLiM, et al. (2024a) Beyond bookshelves, how 5/6G technology will reshape libraries: Two-stage SEM and SF-AHP analysis. Technology in Society78: 102629.
42.
KhanAUMaZLiM, et al. (2024b) From silent spaces to smart spaces: Leveraging IoT-based innovative services to enhance library system performance using SEM approach. Information Development. SAGE Publications Ltd: 02666669241241755.
43.
KhechineHLakhalSNdjambouP (2016) A meta-analysis of the UTAUT model: Eleven years later. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l’Administration33(2): 138–152. Wiley Online Library.
44.
KimJ (2006) Toward an understanding of web-based subscription database acceptance. Journal of the American Society for Information Science and Technology57(13): 1715–1728. Wiley Online Library.
45.
LaroiyaCSaxenaDKomalavalliC (2020) Applications of Blockchain Technology. INC.
46.
LiuJSunLZhengJ (2023) Factors affecting users’ intention to use mobile health services of public libraries. Library & Information Science Research45: 101223.
47.
MaQLiuL (2004) The technology acceptance model: A meta-analysis of empirical findings. Journal of Organizational and End User Computing (JOEUC)16(1): 59–72. Igi Global.
48.
MahmoodZ (2020) A study on issues and challenges of blockchain technology in Malaysian higher education institutes. International Journal of Psychosocial Rehabilitation24(5): 3867–3880.
49.
MalikAHSeemabSWAKhudaiU, et al. (2023) Contemporary pedagogical practices of translation skills in ESL classrooms. Pakistan Journal of Humanities and Social Sciences11(1): 373–381.
50.
MaroufkhaniPWagnerRWan IsmailWK, et al. (2019) Big data analytics and firm performance: A systematic review. Information 201910(7): 226. Multidisciplinary Digital Publishing Institute.
51.
NamasudraSAkkayaK (2023) Introduction to blockchain technology. In: NamasudraSAkkayaK (eds) Blockchain and Its Applications in Industry 4.0. Singapore: Springer Nature Singapore, 1–28.
52.
NaqviNHussainM (2020) Evidence-based blockchain: Findings from a global study of blockchain projects and start-up companies. The Journal of The British Blockchain Association. The British Blockchain Association. Epub ahead of print 2020. doi:https://doi.org/10.31585/jbba-3-2-(8)2020
53.
Ndung’uR (2022) Blockchain as a solution of information security and data privacy issues: Review. International Journal of Computer Applications Technology and Research11: 337–340.
54.
NnajiCOkpalaIAwolusiI (2020) Wearable sensing devices: Potential impact & current use for incident prevention. Professional Safety65(04): 16–24. ASSE.
55.
NortaAKormiltsynAUdokwuC, et al. (2022) A blockchain implementation for configurable multi-factor challenge-set self-sovereign identity authentication. In: 2022 IEEE International Conference on Blockchain (Blockchain), pp.455–461.
56.
OjoborRCOjoborCIOlurantiJ (2022) Blockchain technology and organizational practices: The case of Nigerian academic libraries. In: MisraSKumar TyagiA (eds) Blockchain Applications in the Smart Era. Cham: Springer International Publishing, 171–186.
57.
PaganelliALPaganelliALPaganelliAL, et al. (2021) Blockchain and the Research Libraries. Https://Services.Igi-Global.Com/Resolvedoi/Resolve.Aspx?Doi=10.4018/978-1-7998-5589-7.Ch012. IGI Global, pp. 232–250.
58.
PatilPTamilmaniKRanaNP, et al. (2020) Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management54: 102144. Elsevier.
59.
PuSLamJSL (2021) Blockchain adoptions in the maritime industry: A conceptual framework. Maritime Policy & Management48(6): 777–794. Routledge.
60.
RadanlievPDe RoureDNovitzkyP, et al. (2023) Accessibility and inclusiveness of new information and communication technologies for disabled users and content creators in the Metaverse. Disability and Rehabilitation: Assistive Technology19(5): 1849–1863.
61.
RafiMJianMingZAhmadK (2020) Digital resources integration under the knowledge management model: An analysis based on the structural equation model. Information Discovery and Delivery48(4): 237–253. Emerald Publishing Limited.
62.
RahmanMH (2019) Changing roles of university libraries of Bangladesh: An exploratory study. Library Hi Tech News37(2): 5–9.
63.
RialtiRZolloLFerrarisA, et al. (2019) Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model. Technological Forecasting and Social Change149: 119781. Elsevier.
64.
SentanuIGEPSPraharjoAWulandariAA (2018) The influence of innovation of braille corner service innovation on service quality and library performance. nternational Journal of Humanities and Social Science Research4(4): 99–104.
65.
ShahzadKKhanSAIqbalA (2024) Effects of blockchain technology (BT) on the university librarians and libraries: a systematic literature review (SLR). Library Hi Techahead-of-p(ahead-of-print). Emerald Publishing Limited.
66.
SharmaSGargVKumarS (2020) Voting System using Blockchain. Epub ahead of print 2020.
67.
ShiauW-LChauPYK (2016) Understanding behavioral intention to use a cloud computing classroom: A multiple model comparison approach. Information & Management53(3): 355–365. Elsevier.
68.
ShinD-HBohlinE (2020) Demystifying big data: Anatomy of big data developmental process. Telecommunications Policy40: 837–854. Telecommunications Policy 44(5). ELSEVIER SCI LTD.
69.
SinghAKKumarVRPDehdashtG, et al. (2023) Investigating barriers to blockchain adoption in construction supply chain management: A fuzzy-based MCDM approach. Technological Forecasting and Social Change196: 122849. Elsevier.
70.
SousaMJ (2023) Blockchain as a driver for transformations in the public sector. Policy Design and Practice6(4): 415–432. Routledge.
71.
SunMTYangDWXieLS, et al. (2023) Research progress on the application of metaverse in chronic diseases health management. Fudan University Journal of Medical Sciences50(2.
72.
Sunday JohnK (2024) Chapitre 6. Adopting BlockChain technologies in libraries services. Journal International de Bioethique et D’ethique des Sciences35(2): 77–92. France.
73.
TanwarS (2022) Introduction to blockchain technology. In: TanwarS (eds) Blockchain Technology: From Theory to Practice. Singapore: Springer Nature Singapore, 1–41.
74.
TaraNRafiMAhmadK (2024) Evaluating the implementations of big data analytics in academic libraries: A structural equation model-based approach. Performance Measurement and Metrics25(3/4): 215–227. Emerald Publishing Limited.
75.
VenkateshV (2022) Adoption and use of AI tools: A research agenda grounded in UTAUT. Annals of Operations Research308(1): 641–652. Springer.
76.
VenkateshVMorrisMGDavisGB, et al. (2003) User acceptance of information technology: Toward a unified view. MIS quarterly27(3): 425–478.
77.
VermaRDhandaN (2023) Chapter 5 - blockchain types: A characteristic view. In: PandeyRGoundarSFatimaS (eds) Distributed Computing to Blockchain. Uttar Pradesh, India: Amity University Uttar Pradesh, Uttar Pradesh, 69–85.
78.
WidiarGYuniarintoAYuliantiI (2023) Perceived ease of use’s effects on behavioral intention mediated by perceived usefulness and trust. Interdisciplinary Social Studies2(4): 1829–1844.
79.
WuBChenX (2017) Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Computers in Human Behavior67: 221–232. Elsevier.
80.
XiaoYXiaoRZhuC, et al. (n.d.) Digital copyright management strategy of digital library based on blockchain technology. Journal of Combinatorial Mathematics and Combinatorial Computing119: 153–162.
81.
XuXShangJ (2024) Research on the construction scheme of smart library based on blockchain technology. Measurement: Sensors31(June 2023), Elsevier Ltd: 100943.
82.
Zar KyawATZhouLWangZ (2025) User requirements for research data management services in Myanmar university libraries: A case study of the University of Yangon Library. Information Development. SAGE Publications Ltd: 02666669241309015.
83.
ZebaSSumanPTyagiK (2023) Chapter 4 - types of blockchain. In: PandeyRGoundarSFatimaS (eds) Distributed Computing to Blockchain. Cambridge, MA: Academic Press, 55–68.
84.
ZhouLShafiqueHMAhmadK (2025) The development and implementation of strategies for promoting cultural literacy Among university students in the digital environment. Information Development. SAGE Publications Ltd: 02666669251314835.
