ICT-supported pedagogical policies and practices in South Africa and Chile: emerging economies and realities

2010 ◽  
Vol 26 (6) ◽  
pp. 507-522 ◽  
Author(s):  
S.J. Howie
Keyword(s):  
South Africa ◽  
Emerging Economies ◽  
Policies And Practices

Language Policy and Politics

2020 ◽  
pp. 812-820
Author(s):  
Kembo Sure
Keyword(s):  
South Africa ◽  
Human Rights ◽  
Conceptual Framework ◽  
Language Policy ◽  
Behavior Patterns ◽  
Language Behavior ◽  
Public Recognition ◽  
Access Services ◽  
Policies And Practices

The chapter is a discussion of the nexus between language policy and the national sociopolitical policies and practices with regard to the distribution of opportunities, human rights, values, recognition, freedom, equity, fairness, and the resolution of disputes. Examples from Africa are discussed using a modified conceptual framework adopted from Patten (2001) in which he argues that “a language enjoys public recognition when it is possible to access services and/or conduct public business in that language.” Using the examples of South Africa and Ethiopia we see how the official multilingualism model fails to promote all languages in a complex plurilingual polity, as it inadvertently promotes strong languages to the detriment of weaker ones. The use of the language rationalization model also failed in Kenya, Tanzania, and Somalia, where the state’s tinkering with language behavior patterns only helps to privilege some languages and disadvantage others.

scholarly journals Does the national innovation system spur economic growth in Brazil, Russia, India, China and South Africa economies? Evidence from panel data

2018 ◽  
Vol 21 (1) ◽  
Author(s):  
Brima Sesay ◽  
Zhao Yulin ◽  
Fang Wang
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Panel Data ◽  
Emerging Economies ◽  
Innovation System ◽  
National Innovation System ◽  
High Tech ◽  
Potential Growth ◽  
Data Set ◽  
The Relationship

The question as to whether the national innovation system (NIS) plays a significant positive role in influencing economic growth has been intensely debated by academics as well as policy analysts. The main controversy, however, is the fact that the ongoing empirical evidences on the relationship between innovation and economic growth are still mixed. The aim of this paper is to provide further evidence on the relationship between the NIS and economic growth using consistent and reliable data from a sample of emerging economies (Brazil, Russia, India, China and South Africa [BRICS]). The research has a BRICS focus and constructs NIS using historical panel data set for the main variables, that is, university enrolment rate for science and engineering students, government research and development expenditure, high-tech export and the enclosure of control variables covering the period 2000Q1–2013Q4. The study employed a dynamic panel estimation technique with a view of evaluating the relative impact of the NIS on economic growth in BRICS. The results revealed that the NIS as a whole has a positive effect on economic growth in BRICS economies. An important policy implication emerging from this study is that extra efforts are needed by emerging economies to promote the development of a NIS so as to explore the potential growth-inducing effects of a well-functioning NIS. Consequently, findings from this study have offered some persuading indicators for BRICS economies to explore the development of a NIS as a potential opportunity to speed up their economic growth.

scholarly journals The Adoption of WhatsApp: Breaking the Vicious Cycle of Technological Poverty in South Africa

2014 ◽  
Vol 6 (7) ◽  
pp. 542-550 ◽  
Author(s):  
Richard Shambare
Keyword(s):  
South Africa ◽  
Technology Acceptance ◽  
South African ◽  
Emerging Economies ◽  
Structural Equation ◽  
Socioeconomic Development ◽  
Vicious Cycle ◽  
Adoption And Diffusion ◽  
Acceptance Model ◽  
And Diffusion

Although research clearly demonstrates that consistent technology usage is correlated to socioeconomic development, the Vicious Cycle of Technology Affordability and Non-adoption impedes the uptake of ICTs in many developing countries. In South Africa, however, one Smartphone messaging application, WhatsApp, appears to have broken this vicious cycle. This paper argues that, given that promoting the uptake of ICTs is a developmental imperative for emerging economies, studying the adoption and diffusion patterns of WhatsApp provides invaluable insights into ICT usage within the context of a developing country. This study modelled the factors influencing the adoption of WhatsApp among South African youths. Some 192 students participated in the study by means of a self-completion questionnaire developed from the Technology Acceptance Model. Structural equation modelling tested the proposed theoretical model. Results suggest that a combination of cost efficiency, simplicity, userfriendly features, and the ability to run on multiple platforms influences and promotes users’ attitudes and behavioural intentions to adopt WhatsApp.

scholarly journals The Innovation Process in Emerging Economies

2015 ◽  
Vol 16 (1) ◽  
pp. 5-17 ◽  
Author(s):  
David Lingelbach ◽  
Ven Sriram ◽  
Tigineh Mersha ◽  
Kojo Saffu
Keyword(s):  
South Africa ◽  
Longitudinal Data ◽  
Emerging Economies ◽  
Real World ◽  
Financial Services ◽  
Resource Constraints ◽  
Innovation Process ◽  
Process Approach ◽  
Real World Data ◽  
The Impact

The authors investigate the impact of two contrasting logics, effectuation and causation, on the innovation process in emerging economies (EEs). Effectuation theory, which emphasizes responses to uncertainty, is integrated with the innovation process literature, which emphasizes resource constraints. In particular, the authors show that in EEs the flexibility dimension of effectuation is underemphasized, while its pre-commitment dimension is overemphasized. The combination of effectuation and causation mechanisms is influenced by the industry context, as well as by the type, degree and timing of resource constraints. Employing longitudinal data from six innovation process cases across one industry (financial services) and four EEs (Botswana, Ethiopia, Ghana and South Africa), the authors employ a process approach using real-world data to support their propositions.

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