To read this content please select one of the options below:

Based on the S–O–R theory adoption intention of blockchain technology in libraries: a two-stage analysis SEM–PLS and ANN

Asad Ullah Khan (School of Management, Jiangsu University, Zhenjiang, China)
Saeed Ullah Jan (Department of Library and Information Science, Khushal Khan Khattak University, Karak, Pakistan)
Muhammad Naeem Khan (School of Social and Behavioral Sciences, Nanjing University, Nanjing, China)
Fazeelat Aziz (School of Management, Jiangsu University, Zhenjiang, China)
Jan Muhammad Sohu (School of Management, Jiangsu University, Zhenjiang, China) (Department of Business Administration, Sukkur IBA University, Sukkur, Pakistan)
Johar Ali (University of Peshawar, Peshawar, Pakistan)
Maqbool Khan (Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Haripur, Pakistan)
Sohail Raza Chohan (Department of Information Technology, Emerson University, Multan, Pakistan)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 2 August 2024

15

Abstract

Purpose

Blockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve into and assess the cognitive elements that impact the integration of blockchain technology (BT) within library environments.

Design/methodology/approach

Utilizing the Stimulus–Organism–Response (SOR) theory, this research aims to facilitate the implementation of BT within academic institution libraries and provide valuable insights for managerial decision-making. A two-staged deep learning structural equation modelling artificial neural network (ANN) analysis was conducted on 583 computer experts affiliated with academic institutions across various countries to gather relevant information.

Findings

The research model can correspondingly expound 71% and 60% of the variance in trust and adoption intention of BT in libraries, where ANN results indicate that perceived possession is the primary predictor, with a technical capability factor that has a normalized significance of 84%. The study successfully identified the relationship of each variable of our conceptual model.

Originality/value

Unlike the SOR theory framework that uses a linear model and theoretically assumes that all relationships are significant, to the best of the authors’ knowledge, it is the first study to validate ANN and SEM in a library context successfully. The results of the two-step PLS–SEM and ANN technique demonstrate that the usage of ANN validates the PLS–SEM analysis. ANN can represent complicated linear and nonlinear connections with higher prediction accuracy than SEM approaches. Also, an importance-performance Map analysis of the PLS–SEM data offers a more detailed insight into each factor's significance and performance.

Keywords

Citation

Khan, A.U., Jan, S.U., Khan, M.N., Aziz, F., Sohu, J.M., Ali, J., Khan, M. and Chohan, S.R. (2024), "Based on the S–O–R theory adoption intention of blockchain technology in libraries: a two-stage analysis SEM–PLS and ANN", Library Hi Tech, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/LHT-03-2024-0128

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

Related articles