Knowledge sharing has been an important issue to the outcomes of Knowledge Management. Although research in the past dealt with many subjects, such as firms and profit and non-profit organizations, the focus has never been on the research team in the university. . This research adopts qualitative oriented research method to investigate the differences of the nature and goals of a research team in the university by participant observation, in-depth interview and secondary data collection. The members of a research lab in the university which has implemented knowledge management in the past six years were observed to find out what factors affecting their knowledge sharing behaviors when using the KM platform under particular situations. Based on the views of organizational behaviors, the factors affecting knowledge sharing were divided into three levels: individual level, group level and organization level. The research found out that the factors influencing knowledge sharing in individual level are subjective value, working attitude, self-satisfaction, altruism, self-evaluation, behavioral resistance and ability. In the group level, the factors are sharing atmosphere, interaction, peer stimulation, group culture, peer affection, society expectation, relationship difference, leadership style and trust. In the organization level, the factors are working pattern and environment, organization culture, system function, KM institution and knowledge content. Finally, the interaction among factors is discussed and a conceptual framework of the knowledge sharing among members is presented. Suggestions and improvements toward future research are then provided.

In the simulation of human crowd behavior including evacuation planning, transportation management, and safety engineering in architecture design, the development of pedestrian model for higher behavior fidelity is an important task. To construct plausible facsimiles of real crowd movements, simulations should exhibit human behaviors for navigation, pedestrian decision-making, and social behaviors such as grouping and crowding. The research field is quite mature in some sense, with a large number of approaches that have been proposed to path finding, collision avoidance, and visually pleasing steering behaviors of virtual humans. However, there is still a clear disparity between the variety of approaches and the quality of crowd behaviors in simulations. Many social science field studies inform us that crowds are typically composed of multiple social groups (James, 1953; Coleman and James, 1961; Aveni, 1977). These observations indicate that one component of the complexity of crowd dynamics emerges from the presence of various patterns of social interactions within small groups that make up the crowd. Hence, realism in a crowd simulation may be enhanced when virtual characters are organized in multiple social groups, and exhibit human-like coordination behaviors. Motivated by the need for modeling groups in a crowd, we present a multi-agent model for large crowd simulations that incorporates socially plausible group behaviors. A computational model for multi-agent coordination and interaction informed by well- established Common Ground theory (Clark, 1996; Clark and Brennan, 1991) is proposed. In our approach, the task of navigation in a group is viewed as performing a joint activity which requires maintaining a state of common ground among group members regarding walking strategies and route choices. That is, group members communicate with, and adapt their behaviors to each other in order to maintain group cohesiveness while walking. In the course of interaction, an agent may present gestures or other behavioral cues according to its communicative purpose. It also considers the spatiotemporal conditions of the agent-group's environment in which the agent interacts when selecting a kind of motions. With the incorporation of our agent model, we provide a unified framework for crowd simulation and animation which accommodates high-level socially-aware behavioral realism of animated characters. The communicative purpose and motion selection of agents are consistently carried through from simulation to animation, and a resulted sequence of animated character behaviors forms not merely a chain of reactive or random gestures but a socially meaningful interactions. We conducted several experiments in order to investigate the impact of our social group interaction model in crowd simulation and animation. By showing that group communicative behaviors have a substantial influence on the overall distribution of a crowd, we demonstrate the importance of incorporating a model of social group interaction into multi-agent simulations of large crowd behaviors. With a series of perceptual user studies, we show that our model produces more believable behaviors of animated characters from the viewpoint of human observers. / Ph. D.

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Abstracts in English, Afrikaans and Zulu / This Grounded Theory study focused on understanding how South Africa’s two numerically-dominant political parties, the African National Congress (ANC) and Democratic Alliance (DA), used micro-blogging site, Twitter, as part of their electioneering arsenal in the 2016 municipal elections to promote party-political digital issue ownership within an urban context. Using each party’s 2016 election manifesto and corpus of tweets, this three-phased study found that while both the ANC and DA used Twitter as a digital political communication platform to communicate their election campaigns, the DA notably leveraged the social networking site for intense ‘focused’ messaging of its negative campaign against the ANC while simultaneously promoting positive electoral messages around its own ‘core’ issues and metro mayoral candidates. ‘Battleground’ metros were identified by the DA in Ekurhuleni, Johannesburg, Tshwane and Nelson Mandela Bay, leading to an emphasised urban campaign here to either activate the party’s own support base and/ or to suppress the ANC’s turnout in these highly-contested areas. Additionally, it was found that both the ANC and DA used Twitter for explicit and implicit partypolitical issue ownership claiming in the 2016 municipal elections. Lastly, this study also culminated in the proposal of three but interconnected different elements of a conceptual framework for digital political communication that political parties could use to promote digital party-political issue ownership within a pronounced urban electioneering setting. These elements – ‘coordinating and managing how an election is tweeted’, 'focus' messaging the election’ and ‘audience-segmenting as a message-tailoring strategy’ – when used in unison can help political parties communicate better and ultimately more effectively in a highly mediatised technological media landscape. / Hierdie Gegronde Teorie Studie fokus op die verduideliking hoe Suid-Afrika se twee numeriese dominante politieke partye, die African National Congress (ANC) en Demokratiese Alliansie (DA), van die mikro-blog platform, Twitter, gebruik gemaak het tydens hulle verkiessingsstrategie in die 2016 munisipale verkiessings om die party politieke digitale kwessie rondom eienaarskap binne ‘n stedelike verband te bevorder. Deur elke party se 2016 verkiessings manifesto en arsenaal van twiets te gebruik, het hierdie drie-fase studie bevind dat beide die ANC en DA, Twitter gebruik het as ‘n digitale politieke kommunikasie platform. Die DA het egter die sosiale media netwerk kenmerkend gebruik vir ‘n intense gefokusde negatiewe veldtog teen die ANC terwyl hulle terselfdertyd ‘n positiewe verkiessings boodskap rondom die party se eie kernkwessies en metro burgermeesters kandidate gesentreer het. ‘Oorlogsgebied’ metros is deur die DA in Ekurhuleni, Johannesburg, Tshwane en Nelson Mandela Bay geidentifiseer wat ‘n defnitiewe stedelike veldtog tot gevolg gehad het om die party se eie ondersteuningsbasis te bevorder en/of die ANC se ondersteuning in hierdie hoogs betwiste areas te onderdruk. Daar was ook bevind dat beide die ANC en DA van Twitter gebruik gemaak het vir eksplisiete en implisiete party politieke kwessies rondom eiernaarskap tydens die 2016 munisipale verkiessings. Hierdie studie kan saamgevat word in drie onderskeie maar verwante elemente om ‘n raamwerk te vorm van die digitale politieke kommunikasie wat politieke partye kan gebruik om digitale party politieke kwessies binne ‘n stedelike verkiessings omgewing te bevorder. Wanneer hierdie elemente – ‘koordinering en bestuur van hoe twiets tydens ‘n verkiesing gebruik word’, ‘’die focus van die boodksap tydens die verkiessing’ and ‘die gehoorsegmentasie can ‘n boodskap strategie’ – in ‘n eenheid gebruik word kan dit politieke partye help om beter en meer effektief te kommunikeer binne ‘n baie kompiterende en tegnologiese medialandskap. / Inkcazo-bungcali yesisifundo ibigxile ekuqondeni ukuba uMzantsi Africa lo unamaqela amakhulu amabini ezopolitiko, ukutsho, iAfrican National Congress (ANC) kunye ne Democratic Alliance (DA), la maqela asebenzise iwebhusayithi encinane uTwitter, njengenxalenye yezixhobo zonxibelelwano kunyulo loo masipala ngo-2016. Bekwenza oku ngelikhuthaza amaqela ezopolitiko nebango lawo kwimiba yezinto abathi bazithethe kwisithuba sedijithali,kumxholo wendawo zase dolophini. Esi sifundo sisebenzisa imanifesto kunye nothotho lwe tweets zeqela ngalinye, nesenziwe ngokwezigaba ezithathu, sifumanise ukuba nangona iANC kunye ne DA zisebenzise uTwitter njenge qonga lonxibelelwano lwezopolitiko zedijithali (ngokolwimi lwasemzini) ukunxibelelana namaphulo onyulo, iDA izibonakalise amandla kwindawo yokuncokola kwiqonga uTwitter,ngokuthi imiyalezo yayo igxile kwaye itsole. Miyalezo leyo ithe yagxila ngokungafanelekanga kumkhankaso weANC. Ngaxeshanye, imiyalezo yayo yona iDA ibeyeyakhayo, kwaye incedisana nephulo layo kwimiba ephambili kunye nabagqatswa bosodolophu bo masipala abambaxa. Oomasipala abambaxa abathi babenongquzulwano bachongwe yiDA Ekurhuleni, eRhawutini, eTshwane nase Bhayi. Lonto ibangele ukuba bagxininise ekukhokeleni iphulo ledolophu ukuze bavuselele inkxaso ye DA apho okanye bacinezele ukuvela kwe-ANC kwezi ndawo kuphikiswana kakhulu ngazo. Ukongeza, kufumaniseke ukuba iANC kunye neDA zisebenzise uTwitter ngokwendlela ecacileyo nengathanga ngqo kwimeko yobunini bemicimbi yepolitiki ukuze bafumane ibango kunyulo loomasipala lwango 2016. Okokugqibela, esisifundo sigqibele kwisindululo sezinto ezintathu azahlukeneyo kodwa ezidityaniswe yinkqubosikhokelo eqingqiweyo kunxibelelwano lwezopolitiko zedijithali. Ezi zinto zizinto ezisenakho ukusetyenziswa ngamaqela ezopolitiko ukukhuthaza ubunini bemicimbi yezopolitiko ngaphakathi kulungiselelo lonyulo lwedolophu olubhengeziweyo. Ezi zinto- 'ukulungelelanisa nokulawula indlela unyulo luthunyelwe ngayo kusetyeziswa uTwitter', 'kugxilwe' kwimiyalezo yonyulo kunye nokuhlukaniswa kwabaphulaphuli okanye ababukeli njengecebo lokulungisa umyalezo '- xa zisetyenziswa ngazwinye zinokuwanceda amaqela ezopolitiko anxibelelane ngcono kwaye ekugqibeleni ngokuyimpumelelo kakhulu kuxhamlo olunamandla kakhulu kubume beendaba kumhlaba wetekhnoloji (ngokolwimi lwesiNgesi). / Communication Science / D. Litt. et Phil. (Communication)