Delay is an important quality-of-service measure for the design of next-generation wireless networks. This dissertation considers the problem of delay-limited communication over block-fading channels, where the channel state information is available at the receiver but not at the transmitter. For this communication scenario, the difference between the ergodic capacity and the maximum achievable expected rate (the expected capacity) for coding over a finite number of coherent blocks represents a fundamental measure of the penalty incurred by the delay constraint. This dissertation introduces a notion of worst-case expected-capacity loss. Focusing on the slow-fading scenario (one-block delay), the worst-case additive and multiplicative expected-capacity losses are precisely characterized for the point-to- point fading channel. Extension to the problem of writing on fading paper is also considered, where both the ergodic capacity and the additive expected-capacity loss over one-block delay are characterized to within one bit per channel use. The problem with multiple-block delay is considerably more challenging. This dissertation presents two partial results. First, the expected capacity is precisely characterized for the point-to-point two-state fading channel with two-block delay. Second, the optimality of Gaussian superposition coding with indirect decoding is established for a two-parallel Gaussian broadcast channel with three receivers. Both results reveal some intrinsic complexity in characterizing the expected capacity with multiple-block delay.

Historically, companies disseminated financial information via the press release. The ability to disseminate information now exists on multiple "new media" channels beyond just the press release, with each channel reaching a different audience. With the different channels of communication come different connotations and associations that people have about the channels, which may affect the interpretation of the message, thereby altering management's ability to effectively communicate with stakeholders. I investigate whether retail investors' processing of financial information disclosures is dependent upon the fit between the channel and the type of information sent on the channel. Using the Elaboration Likelihood Model, I experimentally test how good and bad financial information posted on a social media channel, Twitter, compares to a more traditional channel, a company investor relations page where financial information is traditionally posted. I find that Twitter is associated with investors processing financial information unconsciously on the peripheral route while conscious or central route processing is associated with information coming from the company's investor relations page. Additionally, I find that investors have lower perceptions of management credibility after viewing financial disclosures on a company's Twitter feed than after viewing the same disclosures on the company's investor relations page.

The landscape of banking has changed drastically over the past two decades. Client loyalty is key for banks to stay relevant and deliver sustainable growth. In that context the objective of this research is to identify the main factors that determine client loyalty of small to medium sized businesses to banks and to rank these according to importance. The purpose of the study is using management information systems to determine the client loyalty drivers in SMEs within the banking industry as well as ranking them according to the level of importance. The study defines and provides a broad overview of the different concepts. It further provides an overview of the banking industry and casual factors driving the need to focus on client loyalty. A high-level overview of SMEs are also covered The current problem statement has a look at the various areas of concern to the banking industry such as high level debt ratios, weak corporate demand, and more The research methodology; objectives; design; scope; significance and the limitations of the study are outlined. Obtaining high levels of client loyalty remains a challenge for banks; failing, places banks at risk and hampers their ability to grow. MIS is the main enabler in understanding client loyalty, tracking client behaviour and changing needs. For this purpose a questionnaire was employed to obtain a deeper understanding of what drives client loyalty. A secondary source of information incorporated into the study is recent surveys done by KPMG, Accenture, Ernest & Young, and others. The model currently used by banks is based on the net promoter system. Client satisfaction, and Relationship and Service Quality are factors that get measured and incorporated in the net promoter system. Other factors that showed relevance and impact on client loyalty are Product Quality, Skills/EQ and Corporate/brand image. The researcher aims to explain the effect and influence the aforementioned have on client loyalty as well as rank these in order of importance in small to medium-sized business banking clients in South Africa. Primary data has been used in this study complemented by secondary data. A quantitative method has been adopted for this study. The techniques employed are: Frequency, Reliability (including the mean, standard deviation & Cronbach’s Alpha coefficient) and the Spearman Rank Order Correlations. The sample consisted of SMEs in Johannesburg Central Region and 200 questionnaires were distributed to conveniently selected SMEs out of a total population of 550. Sixty one (61) SMEs responded resulting in a 31% response rate. The study evidenced that the factors listed are interlinked and have an influence on client loyalty. The study has also demonstrated that the link between customer loyalty and true sustainable organic growth is well established. Limitations of the study are discussed. The researcher also recommends that a management information system be employed; that the study be extended to include large and corporate business and that the framework be broadened to include trust, product/channel, skills/EQ and brand/image. / MBA, North-West University, Potchefstroom Campus, 2014

The landscape of banking has changed drastically over the past two decades. Client loyalty is key for banks to stay relevant and deliver sustainable growth. In that context the objective of this research is to identify the main factors that determine client loyalty of small to medium sized businesses to banks and to rank these according to importance. The purpose of the study is using management information systems to determine the client loyalty drivers in SMEs within the banking industry as well as ranking them according to the level of importance. The study defines and provides a broad overview of the different concepts. It further provides an overview of the banking industry and casual factors driving the need to focus on client loyalty. A high-level overview of SMEs are also covered The current problem statement has a look at the various areas of concern to the banking industry such as high level debt ratios, weak corporate demand, and more The research methodology; objectives; design; scope; significance and the limitations of the study are outlined. Obtaining high levels of client loyalty remains a challenge for banks; failing, places banks at risk and hampers their ability to grow. MIS is the main enabler in understanding client loyalty, tracking client behaviour and changing needs. For this purpose a questionnaire was employed to obtain a deeper understanding of what drives client loyalty. A secondary source of information incorporated into the study is recent surveys done by KPMG, Accenture, Ernest & Young, and others. The model currently used by banks is based on the net promoter system. Client satisfaction, and Relationship and Service Quality are factors that get measured and incorporated in the net promoter system. Other factors that showed relevance and impact on client loyalty are Product Quality, Skills/EQ and Corporate/brand image. The researcher aims to explain the effect and influence the aforementioned have on client loyalty as well as rank these in order of importance in small to medium-sized business banking clients in South Africa. Primary data has been used in this study complemented by secondary data. A quantitative method has been adopted for this study. The techniques employed are: Frequency, Reliability (including the mean, standard deviation & Cronbach’s Alpha coefficient) and the Spearman Rank Order Correlations. The sample consisted of SMEs in Johannesburg Central Region and 200 questionnaires were distributed to conveniently selected SMEs out of a total population of 550. Sixty one (61) SMEs responded resulting in a 31% response rate. The study evidenced that the factors listed are interlinked and have an influence on client loyalty. The study has also demonstrated that the link between customer loyalty and true sustainable organic growth is well established. Limitations of the study are discussed. The researcher also recommends that a management information system be employed; that the study be extended to include large and corporate business and that the framework be broadened to include trust, product/channel, skills/EQ and brand/image. / MBA, North-West University, Potchefstroom Campus, 2014