Role of Perception of Politics in Enhancing Organizational Dissent: Case of Pakistan Telecom Sector

The prime objective of the study is to examine the impact of perception of politics on organizational dissent. Moreover, mediating role of self enhancement was examined as well. The data of the study was collected from the employees of the telecom sector through random sampling. For this research, survey method was found to be more suitable involving questionnaire as a data collection instrument. Thus, the present study employed SEM-PLS, which is used to carry out hypothesis testing and the statistical and numerical analysis. The findings of the study revealed that Perception of politics and self enhancement motives significantly impacts organizational dissent. Moreover, mediating role of self enhancement motive also proved to be significant. The findings of the study are important for the academicians and policy makers of HR department in telecom sector of Pakistan

Mobile Commerce: A Rising Wave of Consumer Purchase Intention

Because of the commonness and extensive usage of online technology these days, mobile commerce is an emerging area of attraction for marketing research. Although there is a dearth of studies exploring the factors that influence on mobile commerce embracement and adoption through mobile applications in general, particularly the effect of mobile commerce adoption attitude using Technology Acceptance Model (TAM) remains uncharted. The exploration of the technology acceptance factors is quite challenging and demanding primarily due to the reason that online population is widely dispersed and diversified in terms of their dynamics. Still this area remains a venture of curiosity to the marketers due to magnetism in its potential. Current research assist marketers by providing an insight into the factors that explains this scenario and the results could be used to capitalize the fast growing online market. Three hypothesis strongly validated the effect of perceived trust, perceived value and social influence on mobile commerce adoption while perceived self-efficacy was found to have a little effect on mobile commerce adoption. Predominantly, it was found that Technology Acceptance Model (TAM) remains most effective predictor to mobile commerce adoption. Current research could be used to comprehend and take advantage of key psychological attributes mentioned in the study to upsurge the volume of existing mobile commerce market

Impact of Leverage and Risk Exposure on Financial Performance in SMEs of Northern Punjab

Basic objective of this research was to discover the impact of Leverage on Risk and Profitability. For this purpose main focus of research was SMEs and Commercial sector of Pakistan. Leverage has three types DOL, DFL and DTL. And these three types of leverage are independent variables for this research while dependent variables of this research are ROE, ROA, ROS, GM and Risk. Further sales growth is also used as control variable in this research. Time frame for data analysis was 3 years from 2012 to 2014. Sample size for this research is 61 SMEs and Commercial sector organizations. Secondary data was used in this research and data was collected by using different data collection methods. SPSS version 20 was used to analyze data. Linear regression analyses were used to check the significant relationship between independent variables and dependent variables. This research is limited to just SMEs and Commercial sector organization so we cannot use these results for overall industry or sectors. This research is entirely new research for SMEs and Commercial sector organizations

Rate of EGFR mutation in patients with pulmonary adenocarcinoma

Purpose: Contemporary literature on lung adenocarcinoma has demonstrated a genetic difference of the epidermal growth factor receptor (EGFR) pathway conferring to ethnicity, such as higher frequency of activated EGFR mutations in East Asian population. This information is missing in some developing countries, and we intend to address this gap in the literature. Methods: We examined the rate of EGFR mutations among Pakistani patients with adenocarcinoma of the lung. Fine-needle aspiration samples were gathered from 73 patients. Polymerase chain reaction was performed on extracted DNA for mutational analysis of EGFR exons 19 and 21. Results: EGFR mutations were discovered in 18 of 73 (24.6%) patients. We did not find any significant difference in EGFR mutation rate with regard to patient's age, sex, smoking history, clinical stage of lung cancer, subtypes of adenocarcinoma, and tumor differentiation. Conclusion: Our investigation shows that the EGFR mutation rate in our patient population with adenocarcinoma of the lung was higher than in African-American, Arabian, and white Caucasian patients, and was lower than the East Asian population

Market Research: Demand & Business Models for an Online Grocery Shopping service in Porvoo

The thesis is named Market Research: Demand & Business Models for an Online Grocery Shopping service in Porvoo the commisioning party for the thesis is a young restaurant food delivery company. The primary objectives of the thesis written is to gather data on attitudes & opinion of people on online grocery shopping, particularly in the city of Porvoo, Finland; research is conducted to investigate if an online grocery delivery service is a favorable business in Porvoo or not. Goal of this research in thesis is to gather primary data through quantitative reseach approach & analysis of different business models that could be adopted by the commisioning party. The research questionnaire includes 14 questions divided in to two sections. The questions asked are described and data gathered is analysed. The empirical part of this thesis includes data analysis, disscussion and conclusion. Data retrieved suggest to a posibility of a pilot program to test the service. It does not recommend a full scale initiation of a grocery delivery business as more data is needed. Lastly all sources are cited and appendices are attached

Energy Efficient Analysis for WCDMA/ 3G Homogeneous and Heterogeneous Deployments in Indoor Environment

In near future, the cellular traffic will increase rapidly with majority of the increase coming from Indoor traffic. To cope up with the ever increasing demand, more Base Stations are being deployed in limited areas, which can increase the capacity but will also be responsible for increased energy consumption. Since power is a valuable commodity today both economical and environmental wise, energy efficient deployment along with capacity improvement is crucial for both incumbent and new telecom operators. The objective of this Thesis is to evaluate Power consumption and Capacity for Indoor users, both in Homogeneous and Heterogeneous infra structure cases for the 3G WCDMA/UMTS technology. The comparison is done for Uniform and Non-Uniform Traffic Distributions. In homogeneous case, results indicate that there is a tradeoff between Area Power Consumption, APC and Area Spectral Efficiency, ASE. Large Macro Base Stations covering a limited Indoor Area use less APC but provides low ASE. Small Micro Base Stations which cover the same Indoor Area consumes little more APC then Macro BS but increases the ASE manifold. In Heterogeneous case results suggest that Heterogeneous Networks (HETNET) cases enhance the Area Throughput significantly with a small increase in Area Power Consumption. MACRO+10WLAN 1is the best HETNET case in both Uniform and Non-Uniform Traffic with up to 40% Energy savings and higher data/user compared to MACRO Only deployment. The traffic patterns, number of active users in a cell and Inter Site Distances between Base Stations strongly influence the energy saving and capacity enhancements

Empathetic Leadership and Follower Workplace Engagement: Mediating Role of Climate for Inclusion

Although inclusive climate is an emerging approach in empathetic leadership to enhance workplace outcomes, limited research has shown how empathetic leaders create climate for inclusion. The basic aim of current study was to investigate the role of empathetic leaders to promote a climate for inclusion and to examine the effect on workplace outcomes. Survey method was used to collect data of female teachers from various universities. Data revealed that Empathetic leadership plays a vital role to create an inclusive climate for female teachers to engage at their workplace. Findings supported the research hypothesis and research model and established a connection between empathetic leadership, climate for inclusion and follower workplace engagement

Portfolio Selection and Optimization through Neural Networks and Markowitz Model: A Case of Pakistan Stock Exchange Listed Companies

This paper used artificial neural networks (ANNs) time series predictor for approximating returns of Pakistan Stock Exchange (PSX) listed 100 companies. These projected returns are then substituted into expected returns in the Markowitz’s Mean Variance (MV) portfolio Model. For comparison empirical data used is closing prices of PSX listed stocks, Karachi Inter Bank Offer Rates (KIBOR) as risk free rate and KSE-all share index as benchmark. The Portfolio returns are compared for two datasets by employing various constraints like budget, transaction costs, and turnover constraints. The value of portfolios is measured through Sharpe ratio and Information ratio. Both Sharpe and Information ratios support use of ANNs as return predictor and optimisation tool over simple MV model implemented for empirical data as well as predicted data. ANNs framework performed better in both Long and Short positions and its portfolio returns are significantly higher as compared with MV

An Investigation of Factors Effecting Consumers’ Intention to Share Knowledge through Development as a Social Norm in Travel-Related Online Societal Networks

For recommendations, customers are increasingly having faith in suggestions over the internet. Online societal/social networks (OSNs) are frequently used in Tourism and tourists use them to gain knowledge and gather information about different tourist’s resorts. The main objective of the current research is to develop understanding about the effect of different independent variables such as apparent Ease of use, Belief in reliability, Functional belief and Switching Cost to determine Social Norms which ultimately effect Intention to Share knowledge.  This model helps to understand the underlying motives that influence consumers to share information about tourist’s resorts with others. Data was collected from the people who were using social networking sites for more than a year for tourism recommendations. Structural equation modeling was used for the data analysis and it was found the most of the proposed hypothesis were accepted validating presence of a significantly valid relationship between the variables. The study carries considerable theoretical and practical implications for researchers as well as tourism managers