Browsing by Subject "adoption"

Now showing 1 - 3 of 3
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    Open Access
    Adopting research data management (RDM) practices at the University of Namibia (UNAM): a view from researchers
    (2019) Samupwa, Astridah Njala; Kahn, Michelle
    This study investigated the extent of Research Data Management (RDM) adoption at the University of Namibia (UNAM), viewing it from the researcher’s perspective. The objectives of the study were to investigate the extent to which RDM has been adopted as part of the research process at UNAM, to identify challenges encountered by researchers attempting to practice RDM and to provide solutions to some of the challenges identified. Rogers’ Diffusion of Innovation (DOI) theory was adopted for the study to place UNAM within an innovation-decision process stage. The study took a quantitative approach of which a survey was used. A stratified sample was drawn from a list of all 948 faculty members (the number of academics taken from the UNAM annual report of 2016). The Raosoft sample size calculator (Raosoft, 2004) states that 274 is the minimum recommended sample size necessary for a 5% margin of error and a 95% confidence level from a population of 948, and this was the intended sample size. A questionnaire administered via an online web-based software tool, SurveyMonkey, was used. A series of questions was asked to individuals to obtain statistically useful information on the topic under study. The paid version of SurveyMonkey was used for analysis while graphics and tables were created in Microsoft Excel. The results of the study showed that for the group that responded to the survey, the extent to which they have adopted RDM practices is still very low. Although individuals were found to be managing their research data, this was done out of their own free will; this is to say that there was no policy mandating and guiding their practices. The researcher placed most of the groups that responded to the survey at the first stage of the innovation-decision process, which is the information stage. However, librarians who responded to the survey were found to be more advanced as they were seen to be aware of and engaged in knowledge acquisition regarding RDM practices. Thus, the researcher placed them at the second stage in the innovation-decision process (Persuasion). Recommendations for the study are based on the analysed data. It is recommended, among others, that UNAM should give directives in the form of policies to enhance the adoption of RDM practices and this should be communicated to the entire UNAM community to create awareness regarding the concept of RDM.
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    Open Access
    Evaluation of building information modelling (BIM) adoption, capability and maturity within South African consulting and construction firms
    (2019) Mtya, Amanda; Windapo, Abimbola Olukemi
    The Construction Industry Indicators (CIIs) continue to reflect a steady growth in the level of client dissatisfaction with the performance of contractors and consultants on construction projects whilst firms in the industry battle for survival. In order to survive in the highly competitive construction market, firms within the industry, need a paradigm shift. To move from traditional project delivery methodologies which continue to yield unsatisfactory results to innovative project delivery methods and practices. With the advancements in computational technologies and processes, the industry needs to move towards integrated, collaborative and computable processes, to increase productivity, efficiency, infrastructure value, quality and sustainability, reduce lifecycle costs, lead times and duplications. Building Information Modelling (BIM) is the innovative project delivery method that helps reduce fragmentation and provides opportunities for enhanced collaboration and distributed project development. BIM is slowly gaining momentum in the South African construction industry. Even though there is an abundance of industry discussions and academic literature professing the ability of BIM methodologies to increase productivity, scholars have found that it has not yet been coupled with the availability of useful metrics, knowledge and tools to reliably measure BIM benefits. Few organisations and individuals have been exposed to some BIM tools whilst many still lack thorough understanding of BIM as a project delivery method. To capture the full benefit of BIM methodologies, firms in project networks must coordinate and develop interoperable business practices and procedures. This study assessed the level of BIM adoption, capability and maturity in consulting and construction firms and evaluated if there were differences in the level of adoption, capability and maturity of BIM between consulting and construction firms. The study also evaluated the relationship between level of BIM maturity and project performance of consulting and construction firms. The study found that there is a statistically significant relationship between the level of BIM capability and project performance. Lastly, the study reports on the current perceived benefits of BIM in the South African construction industry.
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    Open Access
    Internet of Things in organisations: artefactual characteristics that influence adoption
    (2025) Tshilenge, Henry Busaka; Brown, Irwin
    Background: The Internet of Things (IoT) has gained significant attention from businesses and academia. IoT promises are ambitious: creating, collecting, and sharing information independently of time, place, and motion. Things are rendered autonomous, able to identify themselves, network with other objects, and analyse the data they produce. IoT systems are used in some organisations to improve efficiency and facilitate trade in commodities and services. These systems help prevent errors, monitor operations, track assets, deter theft, and integrate complex systems through real-time data collection and analysis. Problem Statement: IoT promises many benefits, which are already tangible in the agriculture, logistics, retail, and supply chain sectors. However, some organisations still adopt IoT hesitantly, while others still hold a conservative stance. Little is known about its adoption in organisations based on its artefactual characteristics. Purpose: This study explores the artefactual characteristics of the Internet of Things that lead to its adoption and implementation in organisations. The focus is on the impact of identified IoT characteristics on its adoption as reflected by the continuance intention. Methodology: The study adopted a quantitative survey strategy and collected data via the Academic Prolific Online Panel1, with a sample of 293 participants from South Africa, the United Kingdom, and the United States. Findings: The results indicate that IoT characteristics closely aligned with business needs, such as relative advantage (profitability), Compatibility (alignment with values), seamless integration, and self-adaptation (intelligent, efficient operation and future growth), significantly influence IoT adoption as reflected by the continuance intention in organisations. The study went beyond the traditional Technology-Organisational-Environment (TOE) framework technology characteristics adapted from the Diffusion of Innovation framework, such as relative advantage, complexity, and compatibility. In addition, the findings revealed that integration and self-adaptation (i.e., intelligence) significantly influence technology adoption, as reflected by continuance intention. The research contributes to the knowledge of IoT. The study recommends that future research look further into the technocentric characteristics such as connectivity, security and interoperability, which were unexpectedly found not to influence adoption as reflected by the continuance intention.