Competition in the smart phone market is fierce and despite the high market growth, smart phone manufacturers find it difficult to maintain their market share. Generation Y consumers generally have a good command of technology and engage in technology-related behaviour such as texting, tweeting and web-surfing. Therefore, when it comes to the adoption of smart phones applications, Generation Y is leading the way. For this reason, it is important to consider Generation Y consumers‟ attitudes and perceptions towards smart phone manufacturers and their brands. It has thus become critical for smart phone manufacturers to achieve customer satisfaction, generate loyalty, and build meaningful long-term relationships with Generation Y consumers. The primary objective of this study was to investigate customer satisfaction, brand loyalty and relationship intention amongst Generation Y consumers towards smart phone brands. The questionnaire was distributed by means of non-probability, convenience and quota sampling among 18 and 26 year old respondents living in Gauteng who owned or used a smart phone. In total, 395 respondents participated in the study. Based upon the literature review, a theoretical model was proposed that hypothesised the relationship between customer satisfaction, brand loyalty and relationship intention amongst Generation Y consumers with respect to their current smart phones. From the data analysis, it was evident that respondents exhibit a strong level of customer satisfaction, a mediocre level of brand loyalty, and a strong relationship intention towards their current smart phone brand. The results confirm that the measurement scales used to measure customer satisfaction, brand loyalty and the five dimensions of relationship intention all exhibit construct validity and internal consistency reliability. The study also uncovered significant differences between groups of Generation Y consumers in terms of gender, home language, education, employment status and time period of smart phone brand usage. The results of the structural equation modelling (SEM) technique used to test the theoretical model found that customer satisfaction exhibits a significant and large positive influence on brand loyalty, and a significant and medium positive influence on relationship intention. Furthermore, brand loyalty exhibits a significant medium positive influence on relationship intention. Finally, the dimensions of relationship intention exhibit significant medium to large effects on relationship intention. It is recommended that smart phone manufacturers should provide customers with a customer service application to measure customers‟ satisfaction in terms of their needs met. Smart phone manufacturers should also introduce new ways to communicate with Generation Y consumers to generate brand loyalty. Innovating ideas should be considered for smart phone manufacturers to retain Generation Y consumers. Brand loyalty can be improved by adding more applications according to Generation Y consumers‟ needs. The more a smart phone manufacturer focuses on customer satisfaction and brand loyalty, the more consumers will want to build long-term relationships with their smart phone brands. Recommendations for future research include the possibility to investigate each construct separately to ensure a more detailed investigation. Different cultures and age groups, as well as geographical areas can be studied to broaden results on how different consumers of different generations exhibit customer satisfaction, brand loyalty and relationship intention towards their smart phones. Specific smart phone manufacturers could be investigated to obtain specific information on customer satisfaction, brand loyalty and relationship intention so as to formulate appropriate strategies on improving the constructs measured. / MCom (Marketing Management), North-West University, Potchefstroom Campus, 2014

<p>In recent years mobile phones have become very popular in India, even among the poorer parts of the population. Our aim was to study how this has affected the small businesses. During the fall of 2007 we made 44 interviews with various businessmen in two states in northern India, Rajasthan and Orissa. During the study we found that the access to mobile phones had had altered the way business is handeled on many levels. The businessmen had gotten more customers, more time on their hands and they had changed they way they handeled supplies and suppliers. The ultimate effect of this was an increase in personal income.</p>

The frequency spectrum allocated to cellular mobile telephone systems is very limited. Efficient channel assignment schemes can significantly increase the utilization of the available frequency channels. Virtually Fixed Channel Assignment (VFCA) is a dynamic channel assignment method. The idea behind it is simple: each cell is allocated a set of nominal channels. A call request generated in a cell is assigned a nominal channel if one is available. Otherwise, a channel from an adjacent cell is borrowed to serve this call as long as frequency interference constraints are satisfied. VFCA is a promising method because (i) it is efficient in channel assignment, and (ii) it is relatively easy to implement compared to other dynamic channel assignment methods. VFCA has been analyzed based primarily on simulation studies in the past twenty years. In this thesis, we focus our study on development of new channel borrowing strategies and analytical models for VFCA. The contribution of this work is summarized as follows. (1) Development of an queuing model for performance analysis of VFCA. This model may also be used to conduct sensitivity analysis on some system parameters when VFCA is used. (2) Proposed a new channel reservation scheme for handoffs. (In a cellular system, when a call using a channel crosses a cell boundary, it needs to be handed off to a new channel in the new cell. This is called a handoff.) An optimization model for this channel reservation scheme is developed. (3) Applied the fluid-flow approach to modeling an integrated mobile cellular system that uses VFCA to estimate the distribution of data queue length in a cell of the system. These results are useful in the design, performance analysis and optimization of VFCA schemes.

The increase in student cell phone use in classrooms has led to a decrease in academic performance and satisfaction with instruction (Dietz & Henrich, 2014). Currently, it is unknown as to whether student classroom cell phone usage has any effect on the teacher. The purpose of this study was to determine student and teacher opinions of classroom cell phone usage and perceived distraction. Surveys were conducted with a sample of college students (N = 163) and college faculty (N = 289), from a university in the Southeastern region of the United States. Data indicate there are differing opinions on classroom cell phone usage between students and teachers. Results revealed teachers believe significantly more than students that cell phones should not be used during class. A majority of teachers also reported they have been distracted by students using their phones, while only about half of the students believe their teachers have been distracted by cell phones. Students using cell phones during class may affect more than just their individual academic performance; student cell phone use may actually have a negative impact on the entire class and the quality of teaching.

The older population is increasing, as is life expectancy. Technical devices are becoming more widespread and used for many everyday tasks. Knowledge about new technology is important to remain as an active and independent part of the society. However, if an old user group should have equal access to this technology, new demands will be placed on the design of interfaces and devices. With respect to old users it is and will be important to develop technical devices and interfaces that take the age-related decline in physical and cognitive abilities into account. The aim of this work was to investigate to what extent the age-related cognitive decline affects performance on different computer-related tasks and the use of different interfaces. With respect to the use of computer interfaces, two studies were conducted. In the first study, the information was presented with a hierarchical structure. In the second study the information was presented as a 3D-environment, and it was also investigated how an overview map could support navigation. The third study examined the age-related cognitive decline in the use of a small mobile phone display with a hierarchical information structure. The results from the studies showed that the most pronounced age-related difference was found in the use of the 3D-environment. Within this environment, prior experience was found to have the largest impact on performance. Regarding the hierarchical information structures, prior experience seemed to have a larger impact on performance of easy tasks, while age and cognitive abilities had a larger impact on performance of more complex tasks. With respect to navigation aids, the overview map in the 3D-environment did not reduce the age-differences; however, it contributed to a better perceived orientation and reduced the feeling of being lost.

The effects of mobile phone-like electromagnetic radiation on the human brain activity are examined. The research focuses on both radio frequency (RF) exposures and the much less studied low frequency (ELF) exposures (less than 40 kHz) arising from the battery operation of GSM handsets. The first single blind study recruited a small sample of twelve human volunteers. The eyes closed resting EEG activity is monitored after radio frequency exposure. With SAR levels of 2 W/kg, results reveal no statistical changes in any of the examined frequency bands for neither pulsed modulated RF signals nor continuous wave RF signals. In the second double blind study, a sample of 72 volunteers is recruited and an improved protocol comprised of separate pulsed RF, continuous RF and pulsed ELF exposures is employed. Exposures are delivered through a custom made handset capable of independent RF and ELF exposures. Findings include a reduced alpha band frequency activity during pulsed radio frequency and low frequency radiations exposures but no changes under the continuous RF radiation. Changes are present both during as well as after exposure, while greater changes are observed during exposures. The study of some non linear measures of the resting EEG revealed no changes under any of the active exposures. As the observed changes are very close to the normal EEG variation during resting conditions, their biological significance and health impact is not immediately obvious. However, their mere demonstration points to a low level interaction mechanism which may deserve further study.

This thesis aims to determine whether RF pulsed exposures from mobile phones can influence nervous function within the human brain and heart. In order to address this objective, a robust double-blind study to investigate mobile phone exposures on nervous response has been undertaken by means of analysis of electrophysiological test measures of brain wave activity and heart responses. Generally, test measurements of the electroencephalogram (EEG), the electrocardiogram (ECG), and the pulse plethysmogram (PPG) (for indications of blood pressure response) have been undertaken whilst participants are exposed and sham exposed to various GSM mobile phone radiofrequency and low-frequency protocols. In initial work, both standby and full-power mode GSM exposures have been investigated (Chapter 3 - EEG investigated only), while pulsed 900 MHz and 1800 MHz continuous wave exposures have been investigated in the final experimental work involving 100 test participants (Ch apter 8 - EEG, ECG, and PPG measures are investigated). Four predominant outcomes are determined from the final experimental work conducted. These main outcomes specifically include: 1. A new 'characteristic' finding in the EEG alpha band (8-13 Hz) as due to 900 MHz exposures is observed from almost all recording sites, over both brain hemispheres. Notably, this response only appears at 900 MHz, though is not observable for the 1800 MHz exposure; 2. An EEG effect due to both pulsed 900 MHz and 1800 MHz exposures notably appearing at 16 Hz is a new critical finding and is observed across both hemispheres. Most importantly, at this beta rhythm only a decreasing tendency in EEG power can be noted for the 900 MHz exposure tested but only an increasing tendency in EEG power may be noted at 1800 MHz, suggesting that the direction of the effect in EEG power may be dependent on the RF component; 3. Effects at 900 MHz on the contralateral side to exposure at central, temporal, and parietal sites appear to indicate a common median difference response between sham and exposure EEG spectral power density, which does not appear on the ipsilateral side to exposure; 4. As consistent with most previously published research, 900 MHz or 1800 MHz exposures pulsed at 217 Hz do not appear to alter heart rate, heart rate variability (HRV), or blood pressure variability (BPV). To reduce confounding factors and errors in experimental results, several novel approaches were developed as described (Chapters 4 - 8). These approaches include the development and testing of an experimental handset to support multiple mobile phone signals, a comparative analysis of 900 MHz and 1800 MHz exposures (near the health protection limits) on the same group of participants in simultaneous experiments, development of a statistical analysis approach to EEG that addresses both type 1 and type 11 errors at high resolution, and quantification of potential effects of EEG recording leads on SAR and electric field distribution (at both 900 MHz and 1800 MHz) inside a SAM phantom and realistic computational head model. Outcomes of this research address forefront international health concerns regarding almost 2-billion mobile phone users worldwide.

As mobile phone connections approach two billion worldwide and become steadily more available and affordable, demands for scientific studies on the effect of such EMFs on human functioning similarly increase. The current thesis systematically investigated the effects of acute mobile phone exposure on human brain activity and performance using an in-vivo approach. The research question comprised the following parts: First, is human neural function sensitive to acute mobile phone exposure? Second, if so, what processes are affected? Third, if so, do these neural changes affect gross measures of performance or behaviour? A review of the previous literature found that there was some, but not conclusive evidence that mobile phone exposure affects neural function and some aspects of human performance, and that the studies in question required replication with reliable and realistic dosimetry, double-blinding and additional technical tests to ensure that the experimental set-up was free of artefact contamination. A pilot study was conducted to provide an indication of possible future results, assist in the formation of hypotheses for the main study, and highlight what technical issues required attention before the main study could begin. Results of the pilot study indicated that EMFs emitted by GSM900 mobile phones may alter human brain activity during an auditory task, particularly in proximity to the phone. Both early sensory and later more cognitive ERP components were significantly altered during active compared to sham exposure. Results also suggested that mobile phone exposure may hinder human performance, with longer RTs during the active exposure relative to the sham exposure. However, due to the small sample size of the pilot investigation and questions remaining as to possible technical limitations of the study, these results were treated with caution and used primarily in the formation of future hypotheses for the larger experimental study. Subsequent technical tests provided improvement and validation of the experimental set-up and exposure delivery system, and ensured that future research would be free from such technical limitations. These tests included the characterisation of spectral emissions by the test phone; ensuring that EMFs emitted by the test phones would not interfere with, nor distort, data from the response pad or that processed by the electrode leads; determining whether electrode leads cause an increase or decrease in SAR; and examining the issue of experimenter interference. These tests enabled the conclusion that a positive finding from the large experimental trial would be due to the active exposure of the mobile phone, or in the case of a null finding, would not be due to insufficient or unreliable exposure. Applying the knowledge gained from these technical tests, the main study aimed to provide results of a definitive nature by employing a sample size of 120 sufficient statistical power to detect relatively subtle effects, and a stringent methodological design to account for past limitations. The main study also increased the scope of investigation beyond that achieved in previous research by including endpoints related to sensory processing (auditory and visual tasks), higher cognitive processing (cardsorting task), performance (reaction time and accuracy) and cortical activation (EEG alpha power). To increase this scope even further, within these tasks, the study used data from each scalp electrode and offered insights into the effect of laterality (ipsi- versus contralateral in relation to the exposure source), psychological arousal, perception of transmission, and between-subject factors such as age, gender, previous mobile phone use and hemisphere exposed (right versus left hemisphere exposure). The results of the main study suggested that acute exposure to GSM900 mobile phone significantly reduced levels of psychological arousal, particularly in relation to selfratings of Energy. Results also indicated that only minutes of active exposure can lead to enhanced alpha EEG activity during active exposure relative to sham exposure. Interestingly, this effect was found to be transient, decreasing below sham levels after ten minutes of active exposure and up until ten minutes after exposure cessation. These exposure-induced changes in EEG alpha power were here interpreted as representing an overall reduction in integrative brain function, possibly caused by the physiological response to neural interference or altered synaptic transmission. Acute exposure did not alter human brain activity in the form of the early sensory or later cognitive ERP responses during an auditory or visual task, or EEG synchronisation during a higher cognitive task. The findings also suggested that resultant behaviour, as indexed by RT and accuracy, is unaffected by exposure. Conversely, exploration into specific groups within the sample resulted in some interesting interactions, which raised the possibility that active mobile phone exposure may affect individuals differently as a function of age, gender and which hemisphere is exposed. Specifically, the auditory processing of older individuals was particularly vulnerable to the detrimental effects of mobile phone exposure compared to their younger counterparts. Results of the visual task suggested that the performance of females may also be particularly vulnerable to the detrimental effects of active exposure, compared to males. Overall, the present study has confirmed that there are mobile phone-related bioeffects at the low levels that mobile phones are permitted to operate at. Although various effects have been observed, there is no indication from the present results that cumulative effects or any health consequences exist as this was not the focus of the research. It is argued that future investigation into mobile phone-related bioeffects should apply more sophisticated methodologies to the investigation of acute exposure on EEG alpha power and higher cognitive functioning, as well as larger sample sizes and fewer carefully planned comparisons in order to detect small effects. Further investigation into exposure-induced effects on different groups according to age, gender and which hemisphere is exposed should also be a priority.

The use of mobile phones is continually increasing throughout the world, with recent figures showing that there are currently more than 2 billion mobile phone users worldwide. However, despite the recognised benefits of the introduction and widespread use of mobile phone technologies, concerns regarding the potential health effects of exposure to the radiofrequency electromagnetic fields emitted by mobile phone handsets have similarly increased, leading to an increase in demand for scientific research to investigate the possibility of health effects related to the use of mobile phones. An increasing amount of radiofrequency bioeffects research related to mobile phone use has focussed on the possible effects of mobile phone exposure on human brain activity and function, particularly as the absorption of energy in the head and brain region is much higher than in other body regions, which is a direct result from the close proximity of the mobile phone to the head when in normal use. In particular, the use of sleep research has become a more widely used technique for assessing the possible effects of mobile phones on human health and wellbeing, and is particularly useful for providing important information in the establishment of possible radiofrequency bioeffects, especially in the investigation of potential changes in sleep architecture resulting from mobile phone use. A review of the previous literature showed that a number of studies have reported an increase in the electroencephalogram spectral power within the 8 � 14 Hz frequency range in both awake and sleep states following radiofrequency electromagnetic field exposure. In regards to sleep, the enhancements reported have not been entirely consistent, with some early studies failing to find an effect, while more recent studies have reported that the effect differs in terms of particular frequency range. However, in general the previous literature suggests that there is an effect of mobile phone emissions on the sleep electroencephalogram, particularly in the frequency range of sleep spindle activity. In addition to changes in spectral power, changes in other conventional sleep parameters and the production and secretion of melatonin have also been investigated, however, there has been little or no consistency in the findings of previous studies, with the majority of recent studies concluding that there is no influence of mobile phone radiofrequency fields on these parameters of sleep or melatonin. Following a detailed review of the previous research, the current study was developed with the aim to improve on previous methodological and statistical limitations, whilst also being the largest study to investigate mobile phone radiofrequency bioeffects on human sleep. The principle aims were thus to test for the immediate effects of mobile phone radiofrequency electromagnetic fields on human sleep architecture and the secretion of the pineal hormone, melatonin. The experiment included 50 participants who were randomly exposed to active and sham mobile phone exposure conditions (one week apart) for 30 minutes prior to a full night-time sleep episode. The experimental nights employed a randomised exposure schedule using a double-blind crossover design. Standard polysomnography was used to measure subsequent sleep, and in addition, participants were required to provide urine samples immediately following exposure and upon waking in the morning. A full dosimetric assessment of the exposure system was also performed in order to provide sufficient details of the exposure set-up used in the current thesis and to account for the lack of detailed dosimetric data provided in the majority of previous studies. The results of the current study suggest that acute exposure to a mobile phone prior to sleep significantly enhances electroencephalogram spectral power in the sleep spindle frequency range compared to the sham exposure condition. The current results also suggest that this mobile phone-induced enhancement in spectral power is largely transitory and does not linger throughout the night. Furthermore, a reduction in rapid eye movement sleep latency following mobile phone exposure was also found compared to the sham exposure, although interestingly, neither this change in rapid eye movement sleep latency or the enhancement in spectral power following mobile phone exposure, led to changes in the overall quality of sleep. Finally, the results regarding melatonin suggested that, overall, overnight melatonin secretion is unaffected by acute exposure to a mobile phone prior to sleep. In conclusion, the current study has confirmed that a short exposure to the radiofrequency electromagnetic fields emitted by a mobile phone handset immediately prior to sleep is sufficient to induce changes in brain activity in the initial part of sleep. The consequences or functional significance of this effect are currently unknown and it would be premature to draw conclusions about possible health consequences based on the findings of the current study.

<p>This essay presents a survey that was conducted on 52 college students regarding their opinions on advertisement received to the mobile phone. The questionnaire survey focused on what college students think of advertising to the mobile phone and what attitude they have towards it. The thoughts behind this study are that advertisement to the mobile phones is something that is getting more popular when the mobile phone is getting more advanced. The result of the study showed that college students are not that interested in receiving advertisement to their mobile phones. Several of the college students that participated in the study already get advertisement to their mobile phones, advertisement that they don't want because it doesn't reflect their interests. The study showed that if the advertisement sent to the respondents was to get more customized to their personal interest they might consider receiving it.</p>