Fida Hussain Chandio

Social influence, voluntariness, experience and the internet acceptance: An extension of technology acceptance model within a south‐Asian country context

Purpose – It has been argued that behavioural models of technology acceptance do not serve equally across cultures. This study aims to extend technology acceptance model (TAM) to suit in a developing country context. The model attempts to identify the relationship between social norms, management support and moderating factors voluntariness and experience.Design/methodology/approach – The study used a quantitative methodology to investigate the correlational paths. A cross‐sectional survey was completed by 504 academics working in higher educational institutes of Pakistan. The data were analysed using structural equation modelling (SEM) based on partial least squares (PLS) methods.Findings – The extended model achieved acceptable fit and most of the hypothesised paths were significant. Determinant perceived usefulness was an important construct of the internet acceptance, i.e. R2=34 per cent more than behavioural intention. Moderator experience diminished the impact of usefulness on behaviour usage.Practi...

Acceptance of online banking information systems: an empirical case in a developing economy

This paper proposes an extended model of technology acceptance to understand potential users’ acceptance of online banking information systems (OBIS). The proposed model integrates key constructs from information systems and e-commerce acceptance research streams into the theoretical frame of the technology acceptance model. The model was tested on a sample of 353 Internet banking users in Pakistan. Using structural equation modelling with Analysis of Moment Structures software, data analysis showed considerable support for the extended hypothesised model. The results suggested that, in order of importance: perceived usefulness (PU), perceived ease of use (PEOU) and trust explained 45.7% of the variance in intended acceptance behaviour. Trust and technological self-efficacy (TSE) predicted 28.1% of the variance in PU. While in PEOU 21.8% of the variance was predicted by TSE, accessibility and terminology clarity. This study produced valuable insights into the factors that influence acceptance of OBIS by intended users and offers new ideas in understanding the acceptance of technology, especially in developing countries.

Online banking information systems acceptance: a structural equation modelling analysis

Extending research on the technology acceptance model TAM, this paper develops an extended model of TAM, which besides TAMs original predictors of perceived usefulness PU and perceived ease of use PEOU, includes trust TR as an additional belief factor to predict the behavioural intention BI to use an online banking information system OBIS. The model was tested on a sample of 353 internet users in Pakistan. Using structural equation modelling with AMOS data analysis showed that all the proposed paths were significant and the model explained 44.7% of the variance in BI. As per expectation, highly significant paths were observed between the additional new factor of trust and the PU, followed by PU and BI. These findings suggest that inclusion of an additional factor within TAM extends its capability and validity to predict the individuals acceptance behaviour towards OBIS.

Resource allocation scheme to reduce communication cost in mobile ad hoc computational grids

Recent advancements in mobile computing and communication technologies have given rise to the development of mobile ad hoc computational grids which provide a software and hardware infrastructure to share computing resources in mobile ad hoc environments. The adaptation of computational grids in mobile ad hoc environments is not simple and presents numerous research challenges due to node mobility and infrastructure-less network environment. In order to improve utilisation of shared computing resources and application performance, one of the key services is a resource allocation. In this paper, we propose a centralised resource allocation scheme that allocates interdependent tasks to nodes in mobile ad hoc computational grids. First, we classify tasks and dependencies, and then exploit them to reduce communication cost between interdependent tasks, and thus application completion time. The effectiveness of proposed scheme is demonstrated through simulations.

Online Banking Information Systems Acceptance: An Empirical Examination of System Characteristics and Web Security

ABSTRACT Prior work on the technology acceptance model (TAM) is mainly devoted to the influence of TAM’s core motivational factors and their impact on behavioral intent toward IS acceptance. Relatively little research has focused on what specific system design characteristics motivate individuals toward IS acceptance. This article identified specific systems design factors and examined their impact on TAM’s motivational factors through the TAM. The findings will help designers to design and implement better user-accepted systems.

Investigating the Empirical Relation and Importance of Perceived Usefulness, Perceived Ease of Use and Intention to Use Online Information Resources for Evidence Based Medicine

This study explores the empirical relationship and importance of perceived usefulness, perceived ease of use and intention to use online information resources for Evidence-based Medicine (EBM). Although a significant literature is available that investigates the effect of various factors on intention to use digital information sources to practice EBM in developed countries. However, literature is a lacking in exploring the intention to practice EBM by physicians in developing countries like Pakistan. This is the motivation behind this study. This research is a cross sectional quantitative survey study (N=352). Based on related literature a questionnaire was developed. Selected participant sample of the survey is those physicians, who were in clinical practice and were having the knowledge of EBM. Structural equation modelling technique (SEM) with the Analysis of Moment Structures software (AMOS) is used for data analysis. The findings showed the significance and causal linkage between perceived usefulness, perceived ease of use and intention to use online information resources for EBM. Perceived usefulness is found as a strong predictor in acceptance and behavioral intention as compared to the perceived ease of use.