Theses and Dissertations (Operations Management)
https://hdl.handle.net/10500/21673
2024-03-28T13:34:25ZAssessing work engagement of street traders (vendors) in the City of Tshwane, South Africa
https://hdl.handle.net/10500/30167
Assessing work engagement of street traders (vendors) in the City of Tshwane, South Africa
Mabasa, Dumisani Godfrey
The study was conducted to determine the occupational well-being of street traders, the
most visible own-account workers in the informal sector, by assessing their work
engagement through the UWES. The UWES is one of the few valid and most used
instruments in assessing work engagement. UWES is validated for use in the formal
sector. The informal sector accounts for most employment at more than 60 percent, yet
well-being is most studied in the formal sector than in the informal sector. Participants
were selected through a convenient sampling strategy. A survey questionnaire was
administered face-to-face to collect quantitative data from participants. Data were
analysed using International Business Machines (IBM) SPSS version 28. The pretest and
pilot studies were conducted and reported prior data collection for the main study to
improve quality assurance in the study. The UWES-7, instead of UWES-9, was validated
for the study. The data did not support the factorial invariance of the three dimensions of
UWES, namely, vigour, dedication, and absorption. Thus, a one-factor model was
computed to determine work engagement, thus alleviating challenges associated with
multicollinearity in the study. Some demographic variables were assessed and found to
relate to work engagement. For example, agency motives traders (those trading out of
choice) were reported to be more engaged in their work than structural motives traders
(those trading out of necessity). The validity of UWES in assessing the work engagement
of street traders is important for SDG 8, which promotes decent work for all. Given that
the formal economy struggles to create decent work for all, the ILO recommends that the
informal sector should be supported through policy development so as bring this about.; Dinyakisiso tse di dirilwe go laetsa go phela gabotse mmeleng mosomong ga barekisi ba
mebileng, basomi ba go soma mesomo ya bona bao ba bonagalago kudu ka lekaleng le
e sego la semmuso, ka go sekaseka mabaka a bona a mosomo ka UWES. UWES ke ye
nngwe ya didiriswa tse mmalwa tse di somago le tse di somiswago kudu go sekaseka
mabaka a mosomo. UWES e netefaditswe go somiswa ka lekaleng la semmuso. Lekala
leo e sego la semmuso le ikarabela go bontsi bja mesomo ka go feta diphesente tse 60,
le ge go le bjalo bophelo bjo Aon Hewitt bo ithutwa kudu ka lekaleng la semmuso go feta
ka lekaleng leo e sego la semmuso. Bakgathatema ba ile ba kgethwa ka leano le le
loketsego la go tsopola. Lenaneopotsiso la tekolonyakisiso le ile la laolwa go lebanya ka
mahlo go kgoboketsa datha ya go somisa dipalopalo go tswa go bakgathatema. Datha
e ile ya sekasekwa ka go somisa phetolelo ya 28 ya Metshene ya Kgwebo ya
Boditshabatshaba ebago International Business Machines (IBM) SPSS. Dinyakisiso tsa
pele ga teko le tsa go tseba ka kgonagalo di dirilwe gomme tsa bega kgoboketso ya datha
ya pele ya dinyakisisokgolo go Aon Hewitt afatsa netefatso ya boleng mo dinyakisisong.
UWES-7, go e na le UWES-9, e ile ya netefatswa bakeng sa dinyakisiso. Datha ga se ya
thekga go se se fapane ga dintlha tsa dikarolo tse tharo tsa UWES, e lego, maatla,
boikgafo, le go monego. Ka go realo, mohlala wa lebaka le tee o ile wa balwa go laetsa
mabaka a mosomo, ka go realo wa fokotsa ditlhohlo tseo di amanago le kamano ye
maatla ya diphetogo tse di ikemego ka dinyakisisong. Diphetogo tse dingwe tsa
tshedimoso ka ga setshaba di ile tsa hlahlobja gomme gwa hwetswa di amana le mabaka
a mosomo. Go fa mohlala, bagwebi ba maikemisetso a setheo (bao ba gwebago ka
boithaopo) go ile gwa begwa gore ba swaregile kudu mosomong wa bona go feta bagwebi
ba maikemisetso a sebopego (bao ba gwebago ka lebaka la maemo ao a ka se
fetoswego). Nepagalo ya UWES mo go sekasekeng mosomo wa bagwebi ba mebileng
go bohlokwa go SDG ya 8, yeo e tswetsago pele mesomo ye e hlomphegago go batho
bohle. Ka ge go bonagala gore ikonomi ya semmuso e katana le go hlolela batho bohle
mesomo ye e hlomphegago, ILO e sisinya gore lekala leo e sego la semmuso le swanetse
go thekgwa ka tlhabollo ya pholisi gore se se direge.; Ucwaningo lwenziwa ukuze kutholwe inhlalakahle yomsebenzi yabahwebi
basemgwaqweni, abasebenzi ama-akhawunti wabo emkhakheni ongakahleleki,
ngokuhlola ukuzibandakanya kwabo emsebenzini nge-UWES. I-UWES ingelinye
lamathuluzi ambalwa asemthethweni futhi asetshenziswa kakhulu ekuhloleni
ukuzibandakanya komsebenzi. I-UWES iqinisekisiwe ukuthi isetshenziswe emkhakheni
osemthethweni. Umkhakha ongakahleleki uhola abantu abaningi abaqashwayo
ngamaphesenti angaphezu kwama-60, kodwa inhlalakahle ifundwa kakhulu emkhakheni
osemthethweni kunasembonini engahlelekile. Ababambiqhaza bakhethwe ngesu
lokusampula elikahle. Uhlu lwemibuzo lwenhlolovo lwasetshenziswa ubuso nobuso
ukuze kuqoqwe iminingwane yobuningi kubabambiqhaza. Imininingwane yahlaziywa
kusetshenziswa i-International Business Machines (IBM) SPSS ivejini yama-28.
Ucwaningo lwangaphambili kanye nokuhlola lwenziwa futhi lwabika ukuqoqwa kwedatha
yangaphambili yocwaningo oluyinhloko ukuze kuthuthukiswe ukuqinisekiswa
kwekhwalithi ocwaningweni. I-UWES-7, esikhundleni se-UWES-9, yaqinisekiswa
ocwaningweni. Iminingwane ayizange isekele ukuguquguquka kwezinto zobukhulu
obuthathu be-UWES, okungukuthi, amandla, ukuzinikela, nokwamukeleka. Ngakho-ke,
imodeli yesici esisodwa yahlanganiswa ukuze kunqunywe ukuzibandakanya
komsebenzi, ngaleyo ndlela kuncishiswe izinselele ezihlobene nekhoniliyarithi yokuningi
ocwaningweni. Okunye okuguquguqukayo kwezibalo zabantu kwahlolwa futhi
kwatholakala ukuthi kuhlobene nokuzibandakanya komsebenzi. Isibonelo, abathengisi
bezinjongo ze-ejensi (labo abahweba ngaphandle kokuzikhethela) kubikwe ukuthi
bamatasa kakhulu emsebenzini wabo kunabathengisi bezinjongo zesakhiwo (labo
abahweba ngaphandle kwesidingo). Ukuba semthethweni kwe-UWES ekuhloleni
ukuzibandakanya komsebenzi wabadayisi basemgwaqweni kubalulekile ku-SDG 8,
ethuthukisa umsebenzi ohloniphekile wawo wonke umuntu. Uma kubhekwa ukuthi umnotho osemthethweni udonsa kanzima ukudala imisebenzi ehloniphekile yawo wonke
umuntu, i-ILO incoma ukuthi umkhakha ongekho emthethweni kufanele usekelwe
ngokuthuthukiswa kwenqubomgomo ukuze lokhu kwenzeke.
Abstracts in English, Northern Sotho and Zulu
2023-01-31T00:00:00ZAssessment of human factors as a main contributory factor to youth-related road fatalities, and countermeasures to address the problem
https://hdl.handle.net/10500/30165
Assessment of human factors as a main contributory factor to youth-related road fatalities, and countermeasures to address the problem
Mofokeng, Motselisi Precious
Road-related deaths contribute significantly to the death rate in South Africa (SA) and
across the world, especially among the youth. The current study investigated road
fatalities among the age group classified as youth, between the ages of 20 and 35
years, from the perception of traffic officers and crash investigators. In addition, the
current study attempted to identify countermeasures to address this problem.
The cross-sectional, quantitative study used a questionnaire for the collection of the
data. The study found that the main human factors that contribute to fatalities among
youth aged 20-35 years are drunken driving, speeding, disregard for traffic lights,
overtaking and not wearing a seatbelt. The study found a strong correlation between
speeding and drunken driving. The study also captured strategies that can be
implemented, and key among those was the need for stricter requirements for
obtaining a driver’s licence, increased visibility of traffic officers at high-accident zones,
more traffic fine enforcement, and implementing road safety education as part of the
school curriculum.
The results of this study could assist policymakers to develop programmes aimed at
this specific age group between 20 and 35 years and passing laws that can address
the legislative-related gaps as identified in the current study.; Padverwante sterftes dra aansienlik by tot die sterftesyfer in Suid-Afrika (SA) en
regoor die wêreld, veral onder jeugdiges. Hierdie studie het padsterftes ondersoek
onder die ouderdomsgroep wat as jeug geklassifiseer word – dit is persone tussen 20
en 35 jaar oud – vanuit die persepsie van verkeersbeamptes en ongelukondersoekers.
Boonop het hierdie studie gepoog om teenmaatreëls te identifiseer om hierdie
probleem op te los.
Dié deursnee- kwantitatiewe studie het ’n vraelys gebruik om data in te samel. Die
studie het bevind dat die belangrikste menslike faktore wat tot sterftes by jeugdiges
tussen die ouderdomme van 20 en 35 jaar bydra, dronkbestuur, spoed, die minagting
van verkeersligte, verbysteek en versuim om ’n sitplekgordel te dra, is. Die studie het
ook ’n sterk korrelasie tussen spoed en dronkbestuur gevind. Die studie het ook
strategieë uitgewys wat geïmplementeer kan word, met die volgende strategieë wat
deurslaggewend was: die behoefte aan strenger vereistes om ’n rybewys te bekom,
verhoogde sigbaarheid van verkeersbeamptes by hoë-ongeluksones, strenger
afdwinging van verkeersboetes en die implementering van padveiligheidsonderrig as
deel van die skoolkurrikulum.
Die resultate van hierdie studie kan beleidmakers help om programme te ontwikkel
wat op hierdie bepaalde ouderdomsgroep – persone tussen 20 en 35 jaar – gerig is
en wette aanneem wat aandag sal gee aan die regsverwante leemtes wat in dié studie
geïdentifiseer is.; Mahu ao a hlolwago ke dikotsi tša mebileng ke sebakwakgolo go palomoka ya mahu
ka Afrika Borwa le lefaseng ka bophara, kudukudu go baswa. Nyakišišo ye e
sekasekile dikotsi tša mebileng go dihlopha tša baswa ba mengwaga ya magareng ga
20 le 35, go ya ka dipego tša bahlankedi ba mebila le banyakišiši ba dikotsi tša
mebileng. Go tlaleletša mo, nyakišišo ye e laeditše magato ao a ka tšewago go
šomana le bothata bjo.
Nyakišišo e šomišitše mokgwa wa khwanthithethifi ka go šomiša mananeopotšišo go
kgoboketša datha. Nyakišišo e hweditše gore mabaka ao a hlolago dikotsi go baswa
ba mengwaga ye magareng ga 20 go ya go ye 35 ke go otlela ba nwele madila, go
otlela ka lebelo, go hlokomologa melao ya mebileng (diroboto), go feta dinamelwa tše
dingwe le go se apare mapanta a polokego. Nyakišišo e hweditše gore go na le
tswalano e matla magareng ga go otlela ka lebelo le go otlela o nwele madila. Dipoelo
tša nyakišišo di laeditše gore go na le tlhokego ya go bea melawana e thata ya go
hwetša laesense ya go otlela, go oketša bahlankedi ba taolo ya sephethephethe
mafelong ao go bago le dikotsi tše ntši, go oketša kotlo go bao ba tshelago melao ya
mebileng le go akaretša thuto ya polokego ya mebileng go kharikhulamo ya sekolo.
Dipoelo tša nyakišišo ye di ka thuša badiramelao go hlama mananeo ao ba ka a
lebišago go sehlopha sa baswa ba mengwaga ya magareng ga 20 le 35 le go bea
melao yeo e tla thibago tlhaelelo ye e utolotšwego ke nyakišišo ye
Abstract in English, Afrikaans and Sepedi
2023-05-01T00:00:00ZAcademic-Staff Rating Index (ARI) System
https://hdl.handle.net/10500/27704
Academic-Staff Rating Index (ARI) System
Mokole, Thapelo Godwin
Supervising students at a distance presents numerous social, mental, professional, and individual challenges on the student- supervisor relationship, and on the substance, progress, and conveyance. From the literature review, several tools and technologies are developed to improve academic quality; however, most of these tools and technologies focus on journal articles’ quality rather than student/supervisor relationships. This study aims to develop an academic rating index (ARI) that will show a supervisor’s review by students and provide an interactive forum. The application will serve as an academic supervision teaching-level index that provides an aggregated measure of supervisors’ past and current impact. Thus, the ARI aims to aggregate all academic supervisor ratings and the number of ratings that they received in the entire academic career to complement their citation index. The study will use quantitative coding and programming tools to ensure a good quality system in the development phase. The application and findings of the study contribute to academic service quality.
2021-06-01T00:00:00ZGreen logistics practices in Botswana : challenges and prospects for the large construction companies
https://hdl.handle.net/10500/27362
Green logistics practices in Botswana : challenges and prospects for the large construction companies
Mpondori, Priscilla Fungai
The construction industry is generally characterised by limited implementation of green logistics. With that in mind, this study aimed to examine the nature and extent of green logistics practices in large construction companies in Botswana. Although empirical studies have analysed green supply chain in the construction industry, most of them have not addressed the challenges and prospects of adopting green logistics by construction companies in a developing country like Botswana. Project Managers were interviewed after which a thematic analysis was used to interpret the qualitative results. Thereafter, a comparative analysis was done between the results obtained from the interviews and from extant literature. The findings showed that the adoption of the green logistics strategies was aligned more to economic reasons than environmental ones. The findings further showed that until and unless the construction, technical and administration issues are addressed, the adoption of green logistics will continue to be a challenge for the construction industry in Botswana
2020-04-01T00:00:00Z