Factors Influencing the Adoption of Automated Data Collection Technologies by Building Contractors in Kenya.

Submission Deadline-12th April 2024
April 2024 Issue : Publication Fee: 30$ USD Submit Now
Submission Deadline-20th April 2024
Special Issue of Education: Publication Fee: 30$ USD Submit Now

International Journal of Research and Scientific Innovation (IJRSI) | Volume IX, Issue III, March 2022 | ISSN 2321–2705

Factors Influencing the Adoption of Automated Data Collection Technologies by Building Contractors in Kenya.

Victor Maina 1, Stephen Diang’a1
1Department of Construction Management, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya

IJRISS Call for paper

 

Abstract: Despite the fact that automated data collection (ADC) technologies come with new avenues of opportunities to reckon with that can be relevant for establishment of effective and efficient management approaches, studies indicate that construction industry has lagged behind in adopting and implementing these technologies. In the Kenyan construction industry, the current application of the information communication technology (ICT) platforms is on the conventional technologies like cameras, Smart phones & tablets applications and Radio Frequency Identification (RFID). However the use of more advanced ICT platforms like Global positioning systems (GPS) and wireless sensor networks remains highly unexploited in the construction industry. This paper seeks to establish factors which affect the adoption of automated data collection technologies by building contractors in Kenya. A Descriptive research survey design was used and structured questionnaires issued. The target population in this study comprised of Building works contractors in categories National Construction Authority (NCA) 1 to NCA3 operating within Nairobi County. Stratified systematic sampling was then used to draw the sample size from the population of 300 with a return of response rate of 63%. The study concluded that: the level of adoption of automated data collection (ADC) technologies by local building contractors in Kenya is significantly influenced by the cost of technology, availability of technology, management commitment, size of the firm and human resource capacity. The study recommends that construction firms should have competent planning and strategy teams to deal with innovation adoption. There is also the need for the government to improve the information communication technology infrastructure and through bodies like NCA introduce training programs on an industry level on the emerging technologies that can be applied in the construction sector.

Keywords: Automated data collection technologies, hardware, software, data, internet, GPS

I. INTRODUCTION

Technological advancement in the field of data collection technologies have made the running of construction projects more effective by providing accurate, timely and reliable data (Omar & Nehdi, 2018). The use automated data collection technologies in construction sites provides accurate and timely information in order to compare the as built and as planned status of the project (Majrouhi, 2012). This facilitates the decision making on most appropriate corrective measures in order to avoid reworks. Despite the fact that automated data collection technologies come with new avenues of opportunities to reckon with that can be relevant for establishment of effective and efficient management approaches, studies indicate that construction industry has lagged behind in adopting and implementing these technologies (Majrouhi, 2015).
Most developed countries have successfully exploited automation in their construction sectors paving them the opportunity to accomplish quality projects within the set parameters (Lu et al., 2013). The need for developing nations to adopt the automated technologies in its construction industry cannot be ignored (Oesterreich & Teuteberg, 2016). In the Kenya, the current application of the automated data collection technologies platforms is on the conventional technologies like cameras ,Smart phones & tablets applications and Radio Frequency Identification (RFID, however the use more advanced ICT platforms like Global positioning systems (GPS) and wireless sensor networks(WSN) remains highly unexploited (Nyaga, 2015).
According to Gachungi 2017, studies should be carried out to determine ways to improve the adoption of more advanced ICT platforms like Global positioning systems (GPS) by building contractors in Kenya. Therefore this paper seeks to establish the factors which affect the adoption of automated data collection technologies by building contractors in Kenya, in order to determine ways to increase their level of adoption.