Currently in the advancement of big data, the challenges for many organisations are not technologically related. The biggest barrier relates to cultural challenges which include organizational alignment, resistance or lack of understanding as well as change management. As a result, many organizations are purely not ready to take advantage of this new strategic resource called big data. Therefore, big data acceptance compels addressing the above mentioned challenges that falls within the domains of technology, people as well as organization. Thus, this study employed diffusion of innovation theory to assess the cultural challenges in an organization. The interpretivist approach was applied in the analysis of the data.

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In recent years, healthcare service providers have increasingly employed mobile systems in delivering services. However, the nature of the diversities in tribes and languages within many developing countries enhance the difficulty of delivering or receiving the services which are provided by many healthcare organisations. This is so because the English language is the primary medium of communication, although many healthcare recipients are not conversant in English as they cannot speak English fluently or understand it coherently. The objective of the study was to understand the impact which language barrier have on healthcare services. The interpretivist approach was employed. The case study approach was applied. Qualitative data were collected using semi-structured technique. The analysis of the data was guided by two theories, actor network theory and diffusion of innovation. From the findings, a framework was developed, which is intended to guide a solution that can be provided to address the barrier in the South African healthcare environment.

Despite its essentiality, spoken languages continue to pose severe challenges within the South African health facilities, which can be attributed to the country's adaptation of 11 official languages. Some of the challenges can be attributed to the fact that the limits to an individual's language are commensurate to the limits to an individual's real-life world and meaning, which are often influenced by semantics. The objectives of this study was to establish the factors that influence spoken languages, and how the semantics in the languages can be translated from local dialects to English by using mobile systems. The interpretivist approach was applied in the study. Data was collected through semi-structured interview technique. The actor-network theory was used as a lens to guide the analysis of the data. From the analysis, the following factors—heterogeneity of networks, bilingualism, healthcare facility, and information engine—were found to influence language semantics in South African healthcare. Based on the findings, a framework was developed that can be used to understand how language semantics influence healthcare services in the country. Thus, the study can be of interest to healthcare practitioners, language specialists for translation purposes, and IT experts for support and enablement.

Industries and organizations have recently engaged in initiatives focusing on the exploration of methods and models for digital transformation. As a result, it somehow remains unclear to many business leaders as to what digital transformation mean. However, based on the mere fact that industries at large are embracing the concept of digital transformation and initiating programs around this concept. It can only mean that there are common benefits envisioned though, the main challenge to be addressed is how best can organizations get over the initial humps from vision to execution. Enterprise Architecture (EA) discipline on the other hand, have been praised for being a good approach on mapping the future state of the enterprise ranging from business processes reorganization to technology alignment. Hence, the focus of this paper is to examine the capability of EA approach in driving the digital transformation, more so in the public sector. This study employed a case study research approach to investigate the significance of EA in driving digital transformation on public sectors. Semi-Structured technique was used as a method for collecting data. The analysis was carried out, using Actor Network Theory (ANT). Through the findings that was established using ANT as a framework for driving a digital transformation for public sectors was proposed.