Consumer’s values, Cultural values, Emotional Values and Word of mouth expressiveness, are good predictors for their buying decision satisfaction. In current study sample of 500 was taken to assess the consumer’s buying decision satisfaction in relation to the importance of their values associated with those decisions. This study also reveals how gender influences buying decision satisfaction. Consumer values have a positive and significant impact on buying decision satisfac-tion. While evaluation on the basis of gender and females have more emotional and word of mouth linkages than males, on the contrary to this, males are more concerned with cultural val-ues, and are less expressive and have a tendency to suppress their emotions while making buy-ing decisions.
The purpose of this study is to determine the critical success factors (CSF) of IT projects in Pa-kistan. The identified factors cannot only be functional to exact type IT projects but also to all types of IT projects, their success directly affects the achievement of whole organization. The proposed study of this paper has determined 15 factors influencing the most on the success of IT projects through multiple regression analysis. The survey has disclosed that many CSFs were found related to IT projects but these 15 factors are also the backbone of IT projects. The re-search results obtained clearly indicated that the Leadership Qualities played a significant role in obtaining Top Management support in order to access to resources however, the Leadership Qualities did not play any role on the trained and capable Project Team Members. Besides, it is undoubtedly defined effective communication of the project was established to be influential on the conclusion and contributing factor towards the Success of IT projects in Pakistan. Top Man-agement Support as a whole was not found to play a key role in the IT Project Success.
Customer Equity is true representative of relationship marketing. There are two major approach-es to measure Customer Equity: Transaction/sales based approach and Attitudinal Approach. This research is an effort to check customer equity of fast food restaurants of Pakistan by using attitudinal approach. Transactional customer equity is treated as criterion for attitudinal customer equity. Three drivers of Customer Equity are Value Equity, Brand equity and Relationship equity are taken as independent variables in this research. Convenient sampling technique was used and sample size was 393 respondents. The results show that attitudinal customer equity had strong association with transactional equity. Brand equity, value equity and relationship equity show positive associations with attitudinal customer equity.
This study aims to investigate the technology acceptance and purchase intention for Third Generation (3G) technology in Pakistan’s telecom sector. In such respect, Technology Acceptance Model (TAM) has been used to find the effects of the independent variables (Perceived Usefulness, Perceived Ease of Use, Perceived Value, Perceived Enjoyment, Personal Innovativeness and Price) on dependent variable (purchase intention). The study population consisted of smartphone users among Millennials in district Haripur-a region in transition towards urbanization. 200 respondents provided the useable data. The results of the study show that perceived usefulness, perceived ease of use, perceived value, perceived enjoyment, personal innovativeness, and price have a significant and positive relationship with purchase intention which validates the growing acceptance of advanced technologies in such regions.
Mobile computing represents a need of this decade. Mobile computing is possible with a tablet device, for which there is no clear-cut definition. It is partly because mobile computation field is still an emerging field. Tablet industry is still in its infancy stage and therefore, standards have yet to be defined. Given the limitations, however, a tablet device can be defined as a computing device smaller and slower than a laptop, however larger, and faster than a palm type device. In this research work, factors affecting adoption behavior for tablet device among computer users have been studied. An integral part of the study was to compare effect of the income level on adoption behavior. In this regard, two samples of private and public university students were studied. A modified technology acceptance model (TAM) has been used. Two variables were added to TAM model based on Pakistan’s demographics. A questionnaire was used to collect data. 1000 questionnaires were distributed from which we received 972; twenty two questionnaires were having major missing values so they were separated from analysis. Twenty five respondents were found outliers during data screening; by this sample used in this study is 925. Results were analyzed using linear regression which showed only perceived ease of use and perceived usefulness affected attitude to adopt tablet device. These results were found to be consistent for both private and public universities. Facilitation conditions and price perception play an insignificant role. The results confirmed perceived usefulness and ease of use are the only important factors affecting adoption behavior for tablet device.
Human Resource Management is relatively a new concept in small firms in Pakistan. The purpose of this study is to examine the impact of some of the human resource practices on organizational performance in small manufacturing firms. Using various statistical techniques confirming the adequacy of the model for small manufacturing firms, the result of the study based on the data collected through questionnaires, revealed that HR practices like recruitment, training, compensation and promotion do affect performance of organization. The intensity of these effect are positively mediated by HR outcomes i.e. employees skill, attitude and behavior. Thus it can be safely concluded that although the nature of HR practices in small firms is informal but the organizational performance can be improved by adopting carefully tailored HR practices keeping in mind the limited resources of small firms.
The psychometric properties of the Absorptive capacity construct have been assessed in this study in the context of Pakistan. A total of 201 bank managers were included in the survey. Data analysis using the Smart PLC 3.0 revealed that the scale has satisfactory level of internal consistency reliability, conversion validity and discriminant validity. The findings refer to the fact that the ACAP construct could be responsively used in measuring the absorptive capacity in the banking sector of Pakistan.
The purpose of this study is to examine the role of knowledge management practices in enhancing performance of universities, specifically in the context of Pakistan. A convenient sample of 450 employees from the universities all over the Pakistan was taken for the study. Exploratory factor analysis was performed to identify the elements of knowledge management and linear regression analysis was performed to test the hypotheses presented in the study. This study measures the moderating role of technology in the knowledge management framework. Furthermore, it relied on R & D, employee commitment and industry linkages to construct universities’ performance. The results revealed that knowledge management process and knowledge management infrastructure (HR and culture) are significant predictors of the performance of universities. It was also found that technology moderates the relationship of knowledge management dimensions and universities’ performance. The study highlighted that with proper attention towards knowledge management infrastructure, knowledge management processes and technology, universities can outperform their competitors.
In this paper, computational intelligence technique are presented for solving multi-point nonlinear boundary value problems based on artificial neural networks, evolutionary computing approach, and active-set technique. The neural network is to provide convenient methods for obtaining useful model based on unsupervised error for the differential equations. The motivation for presenting this work comes actually from the aim of introducing a reliable framework that combines the powerful features of ANN optimized with soft computing frameworks to cope with such challenging system. The applicability and reliability of such methods have been monitored thoroughly for various boundary value problems arises in science, engineering and biotechnology as well. Comprehensive numerical experimentations have been performed to validate the accuracy, convergence, and robustness of the designed scheme. Comparative studies have also been made with available standard solution to analyze the correctness of the proposed scheme.