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Quad-band global system for mobile communications complementary metal-oxide-semiconductor transmitter /Lee, See Taur. January 2003 (has links)
Thesis (Ph. D.)--University of Washington, 2003. / Vita. Includes bibliographical references (p. 183-191).
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Young adults' relationship intentions towards their cell phone network providers / by Liezl-Marié KrugerKruger, Liezl-Marie January 2010 (has links)
Marketers use relationship marketing in order to establish mutually beneficial long-term
relationships with their customers as a means to retain these customers in the
competitive market environment. Relationship marketing should, however, not be used
to target each and every customer as not all customers want to build long-term
relationships with organisations. In order to identify the most profitable customers to
target through relationship marketing, organisations should consider their customers'
relationship intentions to form long-term relationships with them.
The primary objective of this study was to determine young adults' (aged 18 to 25)
relationship intentions towards the South African cell phone network providers they use,
namely Vodacom, MTN or Cell C. This was done by considering the five constructs
used to measure relationship intention, namely involvement, expectations, forgiveness,
feedback and fear of relationship loss. A focus group was used to determine which
features related to cell phone network providers young adults consider when selecting a
cell phone network provider. This data was used to develop a self-administered
questionnaire, which was distributed among respondents studying at the Potchefstroom
Campus of the North-West University in the North-West Provirice. A convenience (non
probability) sampling method was used and a total of 315 respondents participated in
this study. The distribution between the cell phone network providers was Vodacom
(115), MTN (101) and Cell C (99). Initial data analysis revealed that 73% of respondents
had high relationship intentions, while the remainder (26%) had low relationship
intentions of forming long-term relationships with their respective cell phone network
providers.
By means of a factor analysis it was determined that the five relationship intention
factors, namely involvement, expectations, forgiveness, feedback and fear of
relationship loss, were valid and reliable to measure the relationship intentions of
respondents. The results further indicated that respondents with a t"iigh relationship
intention are more involved with thei r cell phone network providers and feared losing
thei r relationships with their cell phone network providers more than those respondents
with a low relationship intention. Furthermore, respondents from the different cell phone
network providers do not view the five factors comprising relationship intention
differently, but they do differ with regards to other factors related to cell phone network providers. It was found that the majority of respondents regard Vodacom (not
necessarily the respondent's cell phone network provider) as the cell phone network
provider with the latest technology, as being the quickest, having the best coverage,
best handsets, coolest image and best service. The majority of respondents regard Cell
C as being the cheapest and MTN as being the most expensive. Results also indicate
that respondents' parents play an important role with regard to the choice of their cell
phone network providers as the majority of respondents' parents initially chose the cell
phone network providers and pay their cellular expenses.
It is recommended that cell phone network providers should target young adults'
parents with a view to gain a foothold in the young adult market. Furthermore, it is
recommended that cell phone network providers should determine how their customers
perceive them as compared with competitors in order to better position themselves and
to improve communication with young adults. Most importantly, it is recommended that
cell phone network providers should identify those young adults with high relationship
intentions (those young adults who are more involved with and fear losing their
relationship with the cell phone network provider more) in order to retain them by
attempting to build long-term relationships with these young adults through dedicated
relationship marketing efforts.
Recommendations for future research include examining relationship intention with
regards to other age groups (such as scholars and adults), other service industries and
other geographical areas. Furthermore, the influence which young adults exert on
decisions concerning cell phone network providers and the influence of parents on
young adults' product and service choices, can be explored in future research by means
of the family decision roles. / Thesis (M.Com. (Marketing Management))--North-West University, Potchefstroom Campus, 2010.
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Young adults' relationship intentions towards their cell phone network providers / by Liezl-Marié KrugerKruger, Liezl-Marie January 2010 (has links)
Marketers use relationship marketing in order to establish mutually beneficial long-term
relationships with their customers as a means to retain these customers in the
competitive market environment. Relationship marketing should, however, not be used
to target each and every customer as not all customers want to build long-term
relationships with organisations. In order to identify the most profitable customers to
target through relationship marketing, organisations should consider their customers'
relationship intentions to form long-term relationships with them.
The primary objective of this study was to determine young adults' (aged 18 to 25)
relationship intentions towards the South African cell phone network providers they use,
namely Vodacom, MTN or Cell C. This was done by considering the five constructs
used to measure relationship intention, namely involvement, expectations, forgiveness,
feedback and fear of relationship loss. A focus group was used to determine which
features related to cell phone network providers young adults consider when selecting a
cell phone network provider. This data was used to develop a self-administered
questionnaire, which was distributed among respondents studying at the Potchefstroom
Campus of the North-West University in the North-West Provirice. A convenience (non
probability) sampling method was used and a total of 315 respondents participated in
this study. The distribution between the cell phone network providers was Vodacom
(115), MTN (101) and Cell C (99). Initial data analysis revealed that 73% of respondents
had high relationship intentions, while the remainder (26%) had low relationship
intentions of forming long-term relationships with their respective cell phone network
providers.
By means of a factor analysis it was determined that the five relationship intention
factors, namely involvement, expectations, forgiveness, feedback and fear of
relationship loss, were valid and reliable to measure the relationship intentions of
respondents. The results further indicated that respondents with a t"iigh relationship
intention are more involved with thei r cell phone network providers and feared losing
thei r relationships with their cell phone network providers more than those respondents
with a low relationship intention. Furthermore, respondents from the different cell phone
network providers do not view the five factors comprising relationship intention
differently, but they do differ with regards to other factors related to cell phone network providers. It was found that the majority of respondents regard Vodacom (not
necessarily the respondent's cell phone network provider) as the cell phone network
provider with the latest technology, as being the quickest, having the best coverage,
best handsets, coolest image and best service. The majority of respondents regard Cell
C as being the cheapest and MTN as being the most expensive. Results also indicate
that respondents' parents play an important role with regard to the choice of their cell
phone network providers as the majority of respondents' parents initially chose the cell
phone network providers and pay their cellular expenses.
It is recommended that cell phone network providers should target young adults'
parents with a view to gain a foothold in the young adult market. Furthermore, it is
recommended that cell phone network providers should determine how their customers
perceive them as compared with competitors in order to better position themselves and
to improve communication with young adults. Most importantly, it is recommended that
cell phone network providers should identify those young adults with high relationship
intentions (those young adults who are more involved with and fear losing their
relationship with the cell phone network provider more) in order to retain them by
attempting to build long-term relationships with these young adults through dedicated
relationship marketing efforts.
Recommendations for future research include examining relationship intention with
regards to other age groups (such as scholars and adults), other service industries and
other geographical areas. Furthermore, the influence which young adults exert on
decisions concerning cell phone network providers and the influence of parents on
young adults' product and service choices, can be explored in future research by means
of the family decision roles. / Thesis (M.Com. (Marketing Management))--North-West University, Potchefstroom Campus, 2010.
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Motor telephony the practices and problems of regulating mobile telephony and driving /Jessop, Glenn. January 2007 (has links)
Thesis (PhD) - Institute for Social Research, Faculty of Life and Social Sciences, Swinburne University of Technology, 2007. / Thesis submitted in fulfillment of the requirements of the degree of Doctor of Philosophy, Institute for Social Research, Faculty of Life and Social Sciences, Swinburne University of Technology, 2007. Typescript. Includes bibliographical references (p. 208-243).
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Wireless channel modeling, simulation, and estimationPatel, Chirag S. January 2006 (has links)
Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2006. / Andrew, Alfred, Committee Member ; Durgin, Gregory, Committee Member ; Li, Geoffrey, Committee Member ; Ingram, Mary Ann, Committee Member ; Stuber, Gordon, Committee Chair.
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Optimising the frequency assignment problem utilizing particle swarm optimisationBezuidenhout, William 08 October 2014 (has links)
M.Sc. (Information Technology) / A new particle swarm optimisation (PSO) algorithm that produces solutions to the xed spectrum frequency assignment problem (FS-FAP) is presented. Solutions to the FS-FAP are used to allocate frequencies in a mobile telecommunications network and must have low interference. The standard PSO algorithm's velocity method and global selection is ill suited for the frequency assignment problem (FAP). Therefore using the standard PSO algorithm as base, new techniques are developed to allow it to operate on the FAP. The new techniques include two velocity methods and three global selection schemes. This study presents the results of the algorithm operating on the Siemens set of COST 259 problems and shows that it is viable applying the PSO to the FAP.
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The Impact of Cell Phone use on the Driving Performance of Teenagers with and without Attention Deficit Hyperactivity DisorderNarad, Megan 10 October 2014 (has links)
No description available.
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Documentary Photography and the Edge of the SwordOpal, Jack A. 16 June 2017 (has links)
No description available.
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Providing value-added services to cellphone contract clients - a hybrid recommendation approachNdlovu, Mpumelelo January 2016 (has links)
A thesis submitted in fulfilment of the requirements for the degree of Master of Science Computer Science in the School of Computer Science. Faculty of Science
November 21, 2016. / There is stiff competition for customers and market share in the South African telecommunications
industry amongst the four predominant mobile service providers, namely Vodacom,
MTN, Cell C and Telkom Mobile. The First National Bank (FNB) through one of its entities,
FNB Connect, has also joined this intensely competitive environment. These companies face
a constant challenge of having to come up with new and innovative ways of attracting new
customers and retaining their current ones. Cell C has embarked on a good strategy of claiming
solid market share and growing itself against the competition by using the Private Label
Promotions (PLP) group, a leading BEE Level 3 company that provides a variety of business
solutions, to market GetMore, its value-added service package. A recommender system could be
used to suggest and promote the items available in this package to existing and potential clients
(users). There are different approaches to recommendation, the most widely used ones being
the collaborative and content-based recommendation. The collaborative filtering approach uses
the ratings of other users to recommend the items the current (active) user might like. In the
content-based approach, items are recommended in terms of their content similarity to items a
user has previously liked, or elements that have matched a user’s attributes (features). Hybrid
recommendation approaches are used To eliminate the drawbacks individually associated with
the CF and CBF approaches and to leverage their advantages. One of the aims of this research
was to design and implement a prototype hybrid recommender system that would be used to
recommend Cell C’s GetMore package to current and potential subscribers. The system was to
implement matrix factorisation (collaborative) and cosine similarity (content-based) techniques.
Several experiments were conducted to evaluate its performance and quality. The metrics used
included Mean Absolute Error (MAE), Root Mean Squared Error (RMSE) and Area Under the
ROC Curve (AUC). We expected the proposed hybrid recommender system would leverage the
advantages provided by its different components and demonstrate its effectiveness in providing
Cell C’s customers with accurate and meaningful recommendations of its GetMore package
services.
Keywords:
Content-based Recommendation, Collaborative Recommendation, Hybrid Recommendation,
Cosine Similarity, Matrix Factorisation, Association Rule Mining, J48 Classifier, Decision Table,
Naive Bayes, Simple K-means, Expectation Maximization, Farthest First, Predictive Apriori / LG2017
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Smartone Telecommunications Holdings Limited: a case study.January 1999 (has links)
by Tung Yee Shing. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaf 53). / ABSTRACT --- p.ii / TABLE OF CONTENTS --- p.iii / LIST OF ILLUSTRATIONS --- p.v / LISTOF TABLES --- p.vi / Chapter CHAPTER I --- INTRODUCTION --- p.1 / Chapter CHAPTER II --- OBJECTIVES AND SCOPE --- p.2 / Chapter CHAPTER III --- SMARTONE TELECOMMUNICATIONS HOLDINGS LIMITED --- p.4 / History --- p.4 / Benefits from the Initial Public Offering --- p.5 / The Three Brands --- p.5 / The Three Focuses --- p.6 / Diversification --- p.9 / Recent Performance --- p.10 / Chapter CHAPTER IV --- THE ENVIRONMENTAL CHANGES --- p.12 / Government Regulations --- p.12 / Technology --- p.14 / Economic Factors --- p.15 / Social Factors --- p.18 / Chapter CHAPTER V --- THE INDIVIDUAL DEPTH INTERVIEWS --- p.19 / Interviewees' Profile --- p.19 / Perception on Network Quality --- p.20 / Usefulness of Mobile Phone --- p.21 / Usefulness of Value-added Services --- p.22 / Handset Selection --- p.23 / Introduction of the Personal Communications System (PCS) --- p.24 / Effect of Mobile Number Portability --- p.25 / The Student Segment --- p.26 / Chapter CHAPTER VI --- THE SURVEY --- p.28 / Sampling Frame --- p.28 / The Final Sample --- p.28 / Research Findings --- p.29 / Current Usage --- p.29 / Attitude --- p.31 / Information Sources --- p.33 / Chapter CHAPTER VII --- THE DISCRIMINANT ANALYSIS --- p.34 / Chapter CHAPTER VIII --- CONCLUSIONS AND RECOMMENDATIONS --- p.37 / The Environment --- p.37 / The customers --- p.37 / Need Recognition --- p.38 / Information Search --- p.39 / Evaluation of Alternatives --- p.39 / Purchase Decision --- p.40 / Postpur chase Behavior --- p.40 / SmarTone's Strategies --- p.41 / Corporate Level Strategy --- p.41 / Recommendations --- p.44 / APPENDIX --- p.48 / BIBLIOGRAPHY --- p.53
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