Purpose The purpose of this paper is to examine the factors that influence the adoption of mobile technology by considering the information technology (IT) managers’ perception. The research identified the key challenges managers faced and whether management would adopt mobile technology or not. Design/methodology/approach A quantitative approach was used for this research, whereby an explanatory research was utilised. Questionnaires were developed and distributed to respondents who were in management and leadership positions and who were responsible for IT within their organisations. Demographic variables of age, gender differences, level of education, level of experience and culture were tested for association to the perceived factors and adoption. A χ2 of association was used to test the association between demographic variables and mobile technology adoption. Findings The results found that perceived ease of use, perceived usefulness, perceived complexity and perceived cost are important factors for adoption. However, perceived risk was a key factor in the adoption of mobile technology. Mobile strategy adoption must consider perceived risk factors central to the adoption. The younger generation (20 to 40) years found it easier to adopt technology than the older generation of 41 years and older. Individuals with a post matriculation level of education understood the importance of risk and cost required for adoption. Research limitations/implications Purposive sampling from a single industry (Life Insurance) was used. Limited literature was available regarding managers perception of mobile technology adoption in the Life Insurance industry. Practical implications The research offers managers insight into the important factors that need to be considered in adopting mobile technology. Originality/value With mobile technology being pervasive, the research seeks to provide managers with the insight in managing the adoption of the technology.
Background: Knowledge loss causes challenges for organisations that wish to remain competitive. These organisations must identify the risks that could lead to knowledge loss and become aware of issues that affect knowledge retention.Objectives: The objective of this research was to identify tacit knowledge retention barriers that could cause knowledge loss in an organisation. The paper presents a framework for the assessment of the impact of these barriers and discusses the research findings in order to critique that framework.Method: A quantitative strategy was used to interpret the findings. The target population is information technology (IT) professionals in a government organisation. Interviews were conducted in order to produce a more context-sensitive interpretation of the findings. A quantitative research approach was used to ensure the findings would precisely reflect the target population.Results: The majority of respondents confirmed that career development requires professional development, training prospects and improves the employability of employees. The agreed result was that respondents seek autonomy, that is, the ability to make decisions. Job stress and burnout are experienced because of problems with in filling posts, and the competition between the private and public sectors for experienced IT employees.Conclusion: Certain determinants were found that affect barriers in knowledge management: organisational commitment, job satisfaction, job characteristics and talent management. These need to be measured to prevent barriers from occurring. Implications are drawn from the study; these provide a focus for further research to bridge some gaps in information technology that currently limit the widespread use of knowledge management
Entrepreneurship is becoming an increasingly important
Internet based technology is globally endorsed as a stimulant for small business success (Chibelushi and Costello, 2009). For the last twenty years, the Small Medium Enterprise (SME) business segment is seen as a key driver to social and economic growth in South Africa (Manuel, 1995). The purpose of the research was to identify and rank all sociopsychological influences on South African SMEs at macro (institutional), meso (industrial) and micro (individual) levels to adopt and use broadband based internet. The TechnologyOrganisational-Environmental (TOE) model proposed by Tornatzky and Fleischer (1990) was augmented with the Reasoned Action Approach (RAA) (Fishbein and Ajzen, 2011) to ensure reasonable inter-relatedness and defragmentation of the various socio-psychological items, including environmental, industry and technology level influences. Exploratory factor analysis was used to establish specific factors influencing broadband adoption amongst SMEs in South Africa. Three levels of statistical testing were conducted: testing strength of all items using exploratory factor analysis, testing factor impact on independent variables (business activity and turnover) through one-way ANOVA and predictability testing using logistic regression analysis. This was done across multiple SME sectors and business sizes. Purposive sampling was used, with a target of both users and non-users of broadband technologies, and a response rate of 14.1% (211 valid observations) was obtained across both sets. From the ANOVA analysis, there was a significant impact of technology drivers on retail businesses, and higher impact on manufacturing than on transport. It was found that organisational elements related significantly differently across varying sizes of businesses, especially between retail versus manufacturing entities. Finally, for the environmental factor, supplier and customer influence on SMEs weighed in relatively higher than competitor pressure. It is recommended that to enhance business climate for broadband adoption, key operator tactics for supply need to be defined and market conditions adjusted to influence demand. Ultimately, the paper suggests that an ecosystem of elements that must be managed to assist in widespread adoption, over and above technology readiness and possibilities in using broadband based ICT for SME growth.
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