Abstract:
Construction's sectoral share of Pakistan's GDP has steadily increased over the last
decade, from 2.42 percent to 2.58 percent, demonstrating its significant contribution to
the country's economic development. Construction, on the other hand, is lagging other
industries. One of Pakistan's most neglected industries is construction. Regulations,
standards, mechanization, advanced technology, and a waste management plan are all
missing from the industry. This necessitates identifying the significant driving factors
as well as investigating the root causes of such deficiencies. Focusing on these factors
will improve stakeholder behavioral intentions to use and adopt prefabricated
construction, thereby improving the construction industry's overall performance.
As a result, the current research aims to develop a model that will help researchers better
understand the inter-relationships between constructs that are thought to play a
significant role in prefabricated construction acceptance in the construction industry.
The current study's specific objectives are to: identify the factors that influence
prefabricated construction adoption; develop an adoption model based on the
Technology Acceptance Model for prefabricated construction acceptance; and
investigate the mediation relationships between factors that affect prefabricated
construction acceptance. A set of constructs is included in the research model that are
thought to influence the intention to adopt and use prefabricated construction.
Prefabricated construction's perceived usefulness, perceived ease of use, project
resources, site management, project coordination, technological features, user trust, and
satisfaction are among them.
A self-administered questionnaire was used to collect data from 360 construction
industry professionals with varying levels of experience for this study, which used a
cross-sectional design. The interrelationships between the constructs of the proposed
model were tested using structural equation modelling. Model variables' mediating
effects on behavioral intention to use prefabricated construction were also investigated.
This study's main contribution is an extended technology acceptance model based on
external factors relevant to prefabrication construction, which identifies key predictors
of prefabricated construction's perceived ease of use and usefulness.
For researchers and academic practitioners, the findings of the study have significant
theoretical and practical implications. There are a number of implications to the study.
Firstly, it has identified key Prefabricated Construction influencing factors considering
which respective stakeholders can prioritize their efforts to eliminate root causes
hindering Prefabricated construction acceptance and usage. Second TAM developed
and tested with high explanatory powers compared to other previously published
models, making it a robust model suitable for testing in other contexts and cultures.
Third, it proposes, tests, and validates 'trust' and ‘satisfaction' as new constructs that
enhance intention to adopt and use prefabrication construction and act as a mediating
variable in the model. Fourth, the research model for this study sheds light on the
relationship between the proposed variables and the intention to use Prefabricated
Construction, which has never been investigated or tested before in the Construction
Industry. By identifying factors that influence Prefabricated Construction adoption and
use, as well as providing a theoretical framework for future Construction Industry
Prefabricated Construction research, the findings of this study may help construction
organizations prepare for Prefabricated Construction adoption and use. The proposed
model will be useful in predicting construction professionals' behavioral intentions to
use prefabricated construction, as well as generating additional future research in other
contexts and cultures with the goal of designing and adopting prefabricated construction
technologies that are widely accepted throughout the construction industry.