Information and communication technology (ICT) developments and trends in recent years have had great impacts on banking sector worldwide. Therefore, the disruptive innovative technology has accelerated changes in the way of banking business. The purpose of this paper is to explore the factors that influence on Pakistani customer’s intentions to adopt internet banking. The sample used in this empirical study includes 265 responses of internet banking users collected through structured questionnaire. For statistical analysis, structural equation model (SEM) approach was used. The present study suggests that internet banking use increases as long as customer perceives it as useful tool. Findings confirmed that perceived usefulness, perceived ease of use and attitude were the key constructs for promoting internet banking usage in Pakistan. Furthermore, the importance performance matrix analysis has shown that attitude was the most important factor. Thus, banks can focus on cultivation of positive attitudinal beliefs about internet banking among prospect cus-tomers.

The aim of this study is to recognize and scrutinize the barriers affecting the utilization of quality tools and techniques (QT&T) in manufacturing organizations. For this purpose, twelve barriers af-fecting the execution of QT&T in manufacturing organizations have been identified from literature analysis and experts’ opinion (academicians and industrial). Questionnaire-based survey has been utilized for the validation of identified barriers. Afterwards, an integrated model of QT&T has been developed by using interpretive structural Modelling (ISM) and Matriced Impacts Croisés Multi-plication Appliquée á un Classement (MICMAC) approach. This research gives an apparent depic-tion to identify and handle the barriers by computing the effectiveness of each barrier. Barriers like accessibility of time and space, inability to change organizational culture and inadequate coordina-tion and teamwork are found to be the key barriers for utilization of QT&T in manufacturing organ-ization. The developed model will help the manufacturing organizations effectively utilize QT&T.

The aim of the study was to examine how consumers integrate into brand communities on social media network sites (SNSs) and how it affects overall satisfaction of social media sites users among students. The study depends on the service-dominant logic (SDL) to develop the constructs for hypotheses testing. The study used a cross-sectional survey research design. The data were col-lected using a web-based survey of university of Nairobi Students. In all, a total of 608 students participated in the survey. The data was analyzed using structural equation modeling with AMOS software. The results revealed that frequency of usage of SNSs and duration of usage positively affect the self –perceived relevance of SNSs. Also, the self-perceived relevance leads to building brand community which finally leads to customer satisfaction. The research was limited to only students of Nairobi and selecting students in itself, which is a limitation as well as limiting it to uni-versity of Nairobi. The younger or the millennial are not the only users of SNSs. We have older generations as well, who also use SNSs for various activities such as professional development among others. Understanding why consumers of social media network site would integrate brand community is seminal for both local and foreign firms doing business in a developing country. This would enable marketing practitioners to craft marketing strategies best for community brand building.

This paper presents the case study of fuzzy statistical process control which has been simulated for variable and discontinuous production within a particular time frame in a key manufacturing work-shop. In order to reduce waste production and increase productivity, dimensional inspection from raw product is categorized into three groups: product of type A, product of type B, and discard. In first part, the appearance characteristics of product is defined as fuzzy membership function as the input of the system in order to allocate the output obtained from fuzzy inference of product to one of the three quality levels. Afterwards, each quality level is assigned to its own group by means of Monte Carlo simulation techniques. In the second part, with fuzzy development of a multinomial p chart, the production process is illustrated as a control chart within the particular period of time.