Green computing: The importance of sustaining the peopleware

Green Computing has attracted concerns in the past few decades, with the sole concern for the procedures involve in the designing, manufacturing, usage and disposal of information and communication technology (ICT) basically for environmental sustainability. The importance of human factor in green computing has not received the deserved attention. The social, moral and ethical decadence resulting from the use of ICT has reduced the quality of human in modern time. This study advocates the importance of peopleware as essential aspect of green computing which equalling demands concern. Thus the adoption of peopleware in green computing practices will invariably improve sustainability of the physical and spiritual environment

Modeling the relationship between human intelligence, knowledge management practices, and innovation performance

Pioneers in knowledge management (KM) have well articulated the relationship between KM and innovation. In addi- tion, there are many theoretical papers as well as empirical studies that examined the positive relationship between KM and innova- tion. However, these empirical studies analysed the relationship between KM and innovation at management or organisational level. There is a need to study this relationship at the knowledge workers level to see how they actually in°uence their organisational KM and innovation. This study aims to analyse the knowledge worker's intelligence, emotional, and spiritual potential towards KM and innovation as well as examine the relationship between knowledge workers, KM and innovation. Survey questionnaires are used to measure knowledge workers' intelligence quotient (IQ), emotional quotient (EQ), and spiritual quotient (SQ), their KM processes involvement, and perception on their innovation perfor- mance. Partial least square (PLS) analysis is used in the analyses to determine the relationship between human intelligence, KM pro- cesses and innovation performance. Results indicate that human EQ and SQ in°uenced KM and innovation but not IQ

STA Data Model for Effective Business Process Modelling

AbstractBusiness process management (BPM) is becoming popular in business, and the business process modelling is a way of representing an organisation to enable its analysis and improvement. A business-friendly modelling is very helpful for business people, and also can act as a communication tool between them and technical IT people. This paper focuses on a new data model, called Source-Transaction-Agent (STA) data model, as a modelling technique for business process modelling. STA data model uses business metadata to assist business and IT person to communicate and participate effectively and efficiently in business data modelling of a system development process. The STA data model uses relational database concept and semantic data modelling, developed by combining Resource-Event-Agent (REA) data model and form-based approach. Entity Relationship Diagram (ERD) is used as the benchmark for the STA effectiveness evaluation. The results show that the STA data model is an effective data model technique for business process modelling

Overcoming Knowledge Management Success Issues by Utilizing IS Theories

The study aims to examine factors that are influencing knowledge management success in one of the leading company in oil and gas industry in Saudi Arabia. It equally evaluates and validates a new proposed framework Information System Technology Acceptance Model (ISTAM) by combining two previously validated information system questionnaires. Data were collected from 401 employees of an oil and gas company in Saudi Arabia by adopting simple random sampling technique. Confirmatory factor analysis was used to measure and validate the hypothesized model while Structural Equation Modeling (SEM) and AMOS were used to test the highlighted hypothesis. The major findings which can be deduced from the overall results of the study is that, IS theories’ underline’s construct and components fitted well in overcoming knowledge management success challenges. This result practically states that, IS theories as embedded in the KM model can suitably bring about knowledge management success in corporate organization

Knowledge exploration: selected works on Quran ontology development

This paper presents key features and challenges ahead for the development and knowledge retrieval of Quran ontology. Recent studies have made significant advances towards the development of Quran ontology. In the recent past, there have been numerous studies conducted on the application of semantic technologies on Quran. Contribution of this paper is its focus on finding the direction of knowledge exploration in Quran. Several studies on Quran ontology development help us in analyzing its linguistic features. Another dimension where Quran excels is the Knowledge of it. There are few studies that concentrate on retrieval of knowledge from Quran. In this literature review, we have included studies that can help us in developing semantic application for knowledge exploration from Quran. This paper devises challenges mainly focusing towards exploration of knowledge in the Quran and summaries research in this area, discuss key features and open research issues

Factors influencing the adoption of m-commerce: a literature review

Mobile Commerce also known as M-commerce is thought to be the next big phase in technologically dependent society after following E-commerce era. Mobile commerce has been a huge success in terms of individuals’ adoption in some markets like Japan, while, surprisingly, not as flourishing in others. Many studies have been conducted using traditional adoption models and theories (such as TAM) that mainly focus on technology aspects. A more complete understanding of the issue requires the need to integrate. This study aims to identify some factors from the current literature that impact the adoption of M-commerce. Based on the literature this study develops Mcommerce adoption framework. The contribution of this research is a framework for representing the factors that influence mobile commerce adoption

Factors influencing the adoption of m-commerce: an exploratory analysis

Mobile Commerce, also known as, M-commerce is thought to be the next big phase in this technologically dependent society after E-commerce era. However, its adoption and level of use is low in Malaysia compared to others nations such as Korea, Singapore, and Japan. This study aims to identify some factors that affect the adoption of Mcommerce in Malaysia based on traditional technology models such as Theory of Reason Action (TRA), Theory of Planned Behavior (TPB),Technology Acceptance Model (TAM) and Diffusion Innovation theory (DOI). In this research, an exploratory factor analysis was conducted on different measures to identify the underlying factors influencing the adoption of M-commerce. The findings revealed that all the thirteen (13) factors were statistically significant and can affect the adoption of m-commerce