Text in English / An increasingly recognised prevention approach for substance use entails reduction in risk factors and enhancement of promotive or protective factors in individuals and the environment surrounding them during their growth and development. However, in order to enhance the effectiveness of this approach, continuous study of risk aspects targeting different cultures, social groups and mixture of society has been recommended. This study evaluated the impact of potential risk and protective factors associated with family management and relations on adolescent substance abuse in South Africa. Exploratory analysis and cumulative odds ordinal logistic regression modelling was performed on the data while controlling for demographic and socio-economic characteristics on adolescent substance use. The most intensely used substances were tobacco, cannabis, cocaine, heroin and alcohol in decreasing order of use intensity. The specific protective or risk impact of family management or relations factors varied from substance to substance. Risk factors associated with demographic and socio-economic factors included being male, younger age, being in lower education grades, coloured ethnicity, adolescents from divorced parents and unemployed or fully employed mothers. Significant family relations risk and protective factors against substance use were classified as either family functioning and conflict or family bonding and support. Several family management factors, categorised as parental monitoring, discipline, behavioural control and rewards, demonstrated either risk or protective effect on adolescent substance use. Some factors had either interactive risk or protective impact on substance use or lost significance when analysed jointly with other factors such as controlled variables. Interaction amongst risk or protective factors as well as the type of substance should be considered when further considering interventions based on these risk or protective factors. Studies in other geographical regions, institutions and with better gender balance are recommended to improve upon the representativeness of the results. Several other considerations to be made when formulating interventions, the shortcomings of this study and possible improvements as well as future studies are also suggested. / Psychology / M. A. (Psychology)

Abstracts in English, Afrikaans, Zulu, Tsonga and Portuguese / The purpose of the study was to develop a model of attitudes toward digital banking, by exploring the relationship between values, culture, the diffusion of innovation and the Technology Acceptance. In addition, actual behaviour in the use of digital banking, as well as the moderating effects of gender, age, education level, income, and urban versus rural backgrounds, was included to provide additional insights into the financial services market in Maputo, Mozambique. A quantitative survey with a convenience sample (n = 403) of bankable individuals (male and female) between the ages of 21 and 60, was conducted from 2015–2018. The findings revealed significant relationships between the variables included in the empirical model. Structural equation modelling indicated that the data were a good fit, resulting from the use of a correlations-derived measurement model. These findings provide new insights into the development of tailor-made digital banking actions to drive usage in different segments, which will contribute to the body of knowledge on consumer behaviour and digital banking adoption and use. / Hierdie studie se doel was om ’n model van ingesteldhede teenoor digitale bankwese te ontwikkel deur ondersoek in te stel na die verband tussen waardes, kultuur, die diffusie van innovering en die aanvaarding van tegnologie. Werklike gedrag wanneer digitale bankwese gebruik word, asook die modererende effek van gender, ouderdom, onderwysvlak, inkomste en stedelike teenoor plattelandse agtergrond, is ingesluit om bykomende insigte te verkry in die finansiëledienstemark in Maputo, Mosambiek. ’n Kwantitatiewe opname met ’n gerieflikheidsteekproef (n = 403) van bankbare individue (manlik en vroulik) tussen die ouderdomme 21 tot 60, is in die tydperk 2015 tot 2018 onderneem. Die bevindinge toon dat daar beduidende verbande is tussen die veranderlikes wat by die empiriese model ingesluit word. Die modellering van strukturele vergelykings toon dat die data goed gepas het omdat ’n korrelasie-afgeleide metingsmodel gebruik is. Hierdie bevindinge lei tot nuwe insigte in die ontwikkeling van pasgemaakte digitalebankwese-aksies om gebruik in verskillende segmente aan te dryf. Dit sal bydra tot die bestaande kennis van verbruikersgedrag en die aanvaarding en gebruik van digitale bankwese. / Inhloso yalolu cwaningo bekuwukwenza imodeli yendlela yokubona mayelana nokusebenzisa ibhangi ngendlela yedijithali, ukuhlola ubudlelwane phakathi kwama-value, usiko, ukusabalala kobuqambi kanye nokwamukelwa kwetheknoloji. Nangaphezu kwalokho, indlela yokuziphatha ekusebenziseni ibhangi ngendlela yedijithali, kanye nemiphumela ethobayo yobulili, iminyaka yobudala, izinga lemfundo, ingeniso, kanye nokuqhathanisa abasemadolobheni nabasemakhaya, kwabandakanywa ukuhlinzeka ngemibono engezelelekile kwimakethe yamasevisi ezezimali eMaputo eMozambique. Kwenziwe inhlolovo ngobuningi ngesampuli ye-convenience (n = 403) wabantu abasebenzisa ibhangi (abesilisa nabesimame) abaphakathi kweminyaka engu 21 kanye nengu 60 kwenziwe ukusukela ku 2015–2018 Imiphumela iveza ubudlelwane obubalulekile phakathi kwezinto ezehlukene ezibandakanya imodeli yobufakazi obubambekayo. I-structural equation modelling ikhombise ukuthi ulwazi belungoluhambisana kahle, ngokuvela kumphumela wokusebenzisa i-correlations-derived measurement model. Okutholakele kunikeza imibono emisha ngokukuthuthukiswa kwezinyathelo zokusebenzisa ibhangii ngendlela yedijithali okuhlinzekelwa abantu ngokuhambisana nabo, ukuphakamisa ukusetshenziswa ngabantu bemikhakha ehlukene, lokhu okuthela esivivaneni kumthamo wolwazi ngendlela yokuziphatha kwabasebenzisi, kanye nokwamukelwa kokusebenzisa ibhangi ngendlela yedijithali kanye nokusetshenziswa. / O presente estudo tinha como objectivo desenvolver um modelo de atitudes em relação à banca electrónica explorando a relação entre os Valores, a Cultura e a Difusão da Inovação e Aceitação de Tecnologias. Além disso, o comportamento real relacionado com o uso de serviços da banca electrónica, assim como o efeito moderador do género, idade, nível de escolaridade, rendimentos e os contextos urbano versus rural foram incluídos para permitir melhor compreensão do mercado de serviços financeiros de Moçambique (Maputo). De 2015 a 2018, fez-se um inquérito quantitativo em uma amostra de conveniência (n = 403) de indivíduos bancáveis (masculinos e femininos) com idades compreendidas entre os 21 e os 60 anos. Os resultados revelaram relações significativas entre as variáveis incluídas no modelo empírico. A modelagem de equações estruturais indicou um bom número de dados, o que resultou num modelo canónico de medição derivada de correlações. Ademais, faz-se uma exposição e interpretação de achados sensíveis sob o ponto de vista ético no contexto de banca electrónica baseado no consumidor. Estes achados servirão de base para um novo conhecimento para o desenvolvimento de acções de banca electrónica personalizadas com vista a incentivar o uso em diferentes segmentos, o que acrescentará valor ao conhecimento actual sobre o Comportamento do Consumidor e a utilização de serviços de banca electrónica. / Xikongomelo xa dyondzo leyi a ku ri ku hlamusela malangutelo ya vanhu ehenhla ka ku tirhisiwa ka bangi ya internet hi ku kambisisa vuxaka lebyi nga kona exikarhi ka Mikhuva, Ndhavuko ni ku Haxiwa ka Switirhisiwa Swintswha ni leswi thyiwaka ku amukeriwa ka thekinoloji. Ku engetela kwalaho, ku katsiwile mikhuva ya vhanu ehenhleni ka ku tirhisa bangi ya internet, ku katsa ni vuyelo leri ringaniselaka ro va munhu a ri wanuna kumbe wansati, ntanga, dyondzo, muholo, ni leswaku u tshama dorobeni kumbe emakaya, leswaku ku twisisiwa hi vuenti leswaku mintirho ya swa timali yi tshamise ku yini eMozambique (Maputo). Nxaxamelo wa swivutiso swo teka tinhlayo wu tirhisiwile eka ntlawa lowu voniweke wu ringana (n = 403) wa vanhu lava nga tirhisaka bangi (va xinuna ni va xisati), lava nga ni 21 ku ya ka 60 wa malembe ku sukela 2017 ku ya ka 2018. Tinhlamulo ti kombe leswaku ku ni ku yelana lokukulu exikarhi ka swivutiso leswi katsiweke eka xivumbeko xo hlamusela ha xona. Structural equation modelling yi kombe leswaku ku ni mihandzu yo tala, leswi endleke leswaku ku va ni xivumbeko lexi se xi tiviwaka xa mpimo lowu taka hi ka ku yelana ka swilo (correlations-derived measurement model). Mihandzu leyi yelanaka ni swilo leswi khumbaka mahanyela lamanene leswi lavaka ku voniwa hi vukheta na yona ya vikiwa yi tlhela yi hlamuseriwa hi ku landza matirhelo ya bangi ya internet hi ku ya vatirhisi va yona. Mihandzu leyi yi ta tisa vutisi byintswha leswaku ku makiwa mintirho ya bangi ya internet leyi tivaka ku tsakisa mutirhisi leswaku ku engeteriwa ku tirhisiwa ka yona exikarhi ka mintlawa yo hambana, leswi na swona swi nga ta engetela vutivi ehenhleni ka Mikhuva ya Vatirhisi ni matirhiselo ya bangi ya internet. / Industrial and Organisational Psychology / Ph. D. (Industrial and Organisational Psychology)