Thesis (MTech (Human Resource Management)--Cape Peninsula University of Technology, 2009 / This thesis explores the barriers/constraints that the SMME may experience whilst attempting to recover their skills levies from the wholesale and retail SETA (W&RSETA). Skills development legislation was introduced in South Africa to address the previous disparities in education and training. The Skills Development Levies Act (SOLA) of 1999 established the introduction of skills levies. The SOLA stipulated that all companies with an annual payroll in excess of R 500 000 would be required to pay skills levies to the South African Revenue Service (SARS). SARS then distributes the funds to the relevant sector education and training authority (SETA). The company would then have the option of recovering up to seventy percent of its skills levies, provided that it had implemented various skills development and training initiatives throughout the year. While larger companies may be more attuned in terms of recovering these levies, small, micro and medium enterprises (SMMEs) may experience difficulties in doing so. The research design included a descriptive study of both qualitative and quantitative components. The investigation was conducted by interviewing twenty stakeholders within the wholesale and retail sector. The stakeholders were divided into two categories, namely SMMEs and the assistants to SMMEs. The information was analysed within the context of the twenty stakeholders interviewed who were located in the Westem Cape area and registered with the W&RSETA. The findings indicated that the main constraints that SMMEs may be experiencing whilst attempting to recover their skills levies from the W&RSETA included: a lack of understanding of the grant recovery system; lack of time; burdensome administration; a lack of finance; and a lack of communication and support from the W&RSETA This research would be a pilot study that would provide a basis for a future study which may seek to provide practical recommendations to policy makers both in govemment and the private sector, in terms of assisting levy paying SMMEs within the W&RSETA to recover skills levies.

Small, medium and micro-enterprises (SMMEs) play an important part in all economies but particularly in developing economies. Growth 'SMMEs seek to grow either in size, revenue and/or asset value by reinvesting available resources; these enterprises tend to spend their available resources on operational when it comes to information and communication technology (ICT). But these systems, whilst necessary are not sufficient. They are geared toward capturing data but not producing information. Business intelligence (BI) can provide decision-makers, who in SMMEs are predominantly owner-managers, with access to information that enables them to make informed decisions on where to apply limited resources. Because BI requires operational systems to be in place to gather the data it is the logical next step. Despite increasing discussion in the press and amongst BI practitioners, academic research with regard to BI in SMMEs remains sparse. Since the potential contribution of BI to SMMEs can only be assessed by first understanding current information practices and needs in such enterprises, the purpose of this study is to explore the use of use of BI to support strategic, tactical and operational decision-making. This research uses an interpretive approach to collect data using semi-structured interviews from the owner-managers of six knowledge-based growth SMMEs in South Africa selected through purposive sampling. The research results suggest that BI can play an important role in knowledge-based growth SMMEs but that support and guidance is needed to ensure that BI is used appropriately to fully exploit available data for decision-making in addition to expanding available data sources. Future research can adopt a more rigorous positivist approach to confirm the findings of this study, expand the population to other sectors in South Africa and/or SMMEs in other countries. An action research methodology can also be used to apply BI interventions in SMMEs to investigate specific BI solutions in-depth. The research may be of value to participating and other SMME owner-managers, policy makers, government agencies, business advisers, and academic researchers. / Thesis (PhD)--University of Pretoria, 2011. / Information Science / unrestricted

Abstracts in English, Afrikaans and Tswana / This study explores whether the turnover tax system (TTS) fulfils its intended function of being a simplified tax system, using primary and secondary data. Structural-functionalism and the tax canons form the theoretical foundations for this study and are used to guide the questionnaire design, data collection process, identification of the overarching themes and the data analysis. Semi-structured interviews are utilised to solicit information from the selected participants, using convenience and snowball selection techniques. The participants believe that the TTS is not functioning as a fully simplified tax system, as not all the tax canons and structural functionalism principles of an effective tax system are being met. The concept of the TTS is perceived as good, although the administration thereof and the South African Revenue Service officials’ knowledge on the TTS are seen to be inadequate. Various recommendations are provided to improve the TTS. / Hierdie studie het ten doel om te bepaal of die omsetbelastingstelsel (“TTS”) sy beoogde funksie vervul – naamlik dié van ʼn vereenvoudigde belastingstelsel, deur die gebruik van primêre en sekondêre data. Strukturele funksionalisme en die belastingbeginsels vorm die teoretiese grondbeginsels vir hierdie studie en word gebruik om die vraelysontwerp, data-insamelingsproses, identifisering van die oorkoepelende temas en die data-ontleding te lei. Halfgestruktureerde onderhoude word gebruik om die uitgesoekte deelnemers om inligting te vra met behulp van gerieflikheid- en sneeubalselekteringstegnieke. Die deelnemers glo dat die omsetbelastingstelsel nie as ʼn ten volle vereenvoudigde belastingstelsel funksioneer nie, aangesien nie al die belastingbeginsels en strukturelefunksionalismebeginsels van ʼn doeltreffende belastingstelsel gevolg word nie. Die konsep van die omsetbelastingstelsel word as goed beskou, hoewel die administrering daarvan, sowel as die kennis wat die Suid-Afrikaanse Inkomstediens se amptenare ten opsigte van die omsetbelastingstelsel het, as ontoereikend beskou word. Verskeie aanbevelings word gedoen om die omsetbelastingstelsel te verbeter. / Thuto ye e lebeledišiša ge e le gore poelo ya tshepedišo ya lekgetho (TTS) e kgotsofatša mohola wo e nepetšwego wona e lego wa go ba tshepedišo ya lekgetho yeo e nolofaditšwego ka go šomiša tshedimošo ya motheo le ya tlaleletšo. Tšhomišego ya sebopego le melao ya motšhelo go hlama metheo ya dikgopolo ya thuto ye le go e šomiša go hlahla tlhamo ya letlakalapotšišo, tshepedišo ya go kgoboketša tshedimošo, tlhaolo ya merero ya go tlaleletša le tekolo ya tshedimošo. Dipoledišano tša go hlamega gannyane di šomišwa go hwetša tshedimošo go batšeakarolo bao ba kgethilwego, go šomišwa kgonagalo le mekgwatiro ya go kgetha ka go ya godimo. Batšeakarolo ba dumela go re TTS ga e šome bjalo ka tshepedišo ya go tlala ya lekgetho, ka ge e se metheo ka moka ya melao ya lekgetho yeo e fihlelelwago. Lereo la TTS le lemogwa bjalo ka le kaone, le ge tshepedišo ya lona le tsebo ya bašomi ba Ditirelo tša Lekgetho tša Afrika Borwa ya TTS e bonala e sa lekana. Ditigelo tše mmalwa di tšweleditšwe go kaonafatša TTS. / College of Accounting Sciences / M, Phil. (Accounting Sciences)