Mazida Ahmad

Software Development Projects (SDPs) in developing economies often experience high failure rates, with the knowledge transfer (KT) behavior of SDP managers being a key challenge. While research on KT behavior is extensive in developed nations, limited studies focus on emerging economies, particularly Nigeria. This study aims to examine the factors influencing KT behavior among SDP managers in Nigeria based of insights from Social Cognitive Theory (SCT) and the SECI model. This study employs a quantitative research approach with multiple regression analysis in SPSS to test the research hypothesis and analyze the relationships among the variables in the proposed model. Data was collected from 160 SDP managers in Nigeria using a structured survey questionnaire. The results indicate that Work Motivation, Trust to Share, Social Interaction, IT Infrastructure, and Security and Privacy significantly influence KT behavior among SDP managers. However, Reciprocity, Social Identity, and Shared Language were found to have no significant impact. These findings suggest that both psychological and technological factors play a vital role in fostering KT behavior, however SDP managers in Nigeria do not regard reciprocal benefit social identity and shared languages as critical factors that influences their KT behaviors. This study provides insights for SDP managers, policymakers, and knowledge management practitioners on the factors that can improve KT behaviors of SDP managers. It emphasizes the need for targeted interventions, such as fostering trust-based collaboration, strengthening IT infrastructure, and ensuring secure knowledge-sharing platforms to enhance KT practices.

The knowledge discovery from graphical graphs could be challenging. Most of the time, the visual analysis cannot be done solely based on naked eyes interpretation. Therefore, knowledge visualization is vital to assist the process, especially in business intelligence and analytics to improve data insights and cognitive abilities. To effectively facilitate knowledge discovery from visual graphs, different analytical techniques should be explored in analyzing and visualizing the datasets. This study proposes an intelligent system to discover hidden knowledge from educational data by using interactive visualization and prescriptive analytic techniques. It focuses on model processing, as well as the development of an intelligent system to improve students’ academic performance. The method adapted Design Research, comprising of four stages which are 1) problem definition, 2) suggestion, 3) development, and 4) evaluation. Additionally, three stages of data analytics were applied in the development stages, namely 1) descriptive-analytic on Internet usage pattern and students’ academic performance, 2) predictive analytic of students’ academic performance based on Internet usage pattern, and 3) prescriptive analytic to recommend the suitable action to improve students’ academic performance. All these techniques involve data visualization by using the Microsoft Power BI tool. This approach is tested using a real dataset from Universiti Utara Malaysia, collected from 2017 to 2019. As a result, this leads to the desired knowledge visualization that facilitates the decision-making related to student performance enhancement. Theoretically, this study contributes to enhance the visualization and interpretation of data by using cognitive and reasoning components in prescriptive analytic. Besides, the proposed model enables decision maker in educational domain to make meaningful decisions regarding Internet usage management.

Aim/Purpose: The purpose of this study is to identify the key determinants hindering Knowledge Transfer (KT) practices for Information Technology Project Managers (ITPMs) Background: The failure rate of IT projects remains unacceptably high worldwide, and KT between project managers and team members has been recognized as a significant issue affecting project success. Therefore, this study tries to identify the determinants of KT within the context of IT projects for ITPMs. Methodology: A systematic review of the literature (SLR) was employed in the investigation. The SLR found 28 primary studies on KT for ITPMs that were published in Scopus and Web of Science databases between 2010 and 2023. Contribution: Social Cognitive Theory (SCT) was used to build a theoretical framework where the determinants were categorized into Personal factors, Environmental (Project organizational) factors, and other factors, such as Technological factors influencing ITPMs (Behavioral factors), to implement in KT practices. Findings: The review identified 11 key determinants categorized into three broad categories: Personal factors (i.e., motivation, absorptive capability, trust, time urgency), Project Organizational factors (i.e., team structure, leadership style, reward system, organizational culture, communication), and Technological factors (i.e., project task collaboration tool and IT infrastructure and support) that influence implementing KT for ITPMs Recommendations for Practitioners: The proposed framework in this paper can be used by project managers as a guide to adopt KT practices within their project organization. Recommendation for Researchers: The review showed that some determinants, such as Technological factors, have not been adequately explored in the existing KT model in the IT projects context and can be integrated with other relevant theories to understand how a project manager’s knowledge can be transferred and retained in the organization using technology in future research. Impact on Society: This study emphasizes the role of individual actions and project organizational and technological matters in shaping the efficacy of KT within project organizations. It offers insight that could steer business owners or executives within project organizations to closely observe the behavior of project managers, thereby securing successful project outcomes. Future Research: The determinant list provided in this paper is acquired from extensive SLR and, therefore, further research should aim to expand and deepen the investigation by validating these determinants from experts in the field of IT and project management. Future studies can also add other external technological determinants to provide a more comprehensive KT implementation framework. Similarly, this research does not include determinants identified directly from the industry, as it relies solely on determinants found in the existing literature. Although a comprehensive attempt has been made to encompass all relevant papers, there remains a potential for overlooking some research in this process.

Several organizations have adopted Agile software development methods without reforming their performance appraisal. An Agile-compliant performance appraisal should be reformed and aligned to Agile values, principles, and practices. However, there is a paucity of empirical studies that focus on an Agile-compliant performance appraisal. Even though literature indicates several improvements towards an Agile-compliant performance appraisal, we strongly believe that there are more assessment criteria need to be explored through intensive literature. Suitable assessment methods for an Agile-compliant performance appraisal also need to be discovered. Therefore, this study gathered quantitative data through online survey involving 31 Agile practitioners based in Malaysia, Jordan, and New Zealand. The purpose of survey is to explore, affirm and confirm the assessment criteria and methods of an Agile-compliant performance appraisal. This paper presents the assessment criteria and methods of an Agile-compliant performance appraisal that might be considered by management in reforming the effective an Agile-compliant performance appraisal.

Recent advances in information and communication technology (ICT) have allowed humans to accomplish various tasks more effectively. This also applies to the quality of education, research, and development. For this reason, as one of the countries striving to improve the education system quality, Laos aims to leverage the ICT. As the empirical data on the ICT tools needed to achieve this goal in Laos is limited, this gap in extant knowledge has motivated the present study. Its aim is to examine the views of Laotian academics on the ICT tools and platforms needed, level of ICT usage, and required ICT training. The data for this quantitative study was obtained through a survey involving 11 participants who are directly involved in Building Research Building Social Research Capacities in Higher Education Institutions in Lao PDR and Malaysia (BRECIL) under the ERASMUS project. Subsequent analyses revealed that SPSS, Survey Monkey, Google Scholar, and Grammarly are among the tools academics need the most to support them in research. They also require plagiarism and grammar checking, dissemination and networking, and analysis and interpretation platforms. Most of the respondents also indicated the need for training on how to use ICT tools for analyzing research data. These findings can be used by the educational decision makers when formulating their strategies for introducing ICT tools and organizing training for Laotian academics on research and development.

The Malaysia ICT Volunteers (MIV) is an ICT volunteer programme that aims to empower Malaysians towards becoming digital citizens of the Digital Smart Nation. As its effectiveness in attaining this goal has never been measured using rigorous scientific methods; the present study aimed to fill this gap. The aim of this study is to investigate the effectiveness of the MIV programme in terms of its impact on the MIV volunteers’ behaviour. This study is guided by the Theory of Planned Behaviour (TPB), and a set of questionnaires was developed for the online survey. During the data collection period from August to October 2021, 329 valid cases from the MIV volunteers were gathered. Structural Equation Modelling (SEM) was used to analyse the date. Statistical results confirmed that Attitude towards MIV and Perceived Behavioural Control exert a significant influence on Intention to Volunteer, which in turn significantly influences the ICT Volunteering Behaviour of MIV volunteers. On the other hand, Subjective Norms do not play a significant role in the participants’ attitudes toward the MIV programme. Another important finding that emerged from this study is that the MIV programme is effective in promoting ICT Volunteering Behaviour by exerting a positive influence on the participants’ willingness and attitude by increasing their confidence in the MIV programme advantages. However, its benefits can be further enhanced by strengthening partnerships with schools, higher education institutions, private/government agencies, and non-governmental organisations (NGOs), as well as through more active social media utilisation for the promotion of ICT knowledge sharing and engagement.

The Impact of Socialization on Collaborative Learning Method in E-Learning Management System (eLMS)

The current study focused on the instrument designing to measuring the persuasion perspectives of parents using persuasive mobile child’s obesity monitor (PMCOM) app. So far, there is no single agreement on how to measure the level of persuasion of users especially for behaviour change systems. Therefore, the majority of researchers attempt to measure the level of users’ acceptance or attitude. In this context, the present paper is aimed to provide a general process of an instrument design to be persuasive and generalizable for a similar behaviour change system, and appropriate for a similar context to target different groups of parents in other areas. A review of literature analysis led to five dimensions located under three variables that include trigger, ability and motivation. These variables are used to establish the required behaviour when combined with mobile applications. Finally, the process of developing this questionnaire provides guidance and information on the construction and validation of the questionnaires for any future studies.