This study examines the factors influencing government employees’ cybersecurity behavior in Malaysia. The country is considered the most vulnerable in Southeast Asia. Applying the protection motivation theory, this study addresses the gap by investigating how government employees behave toward corresponding cyberrisks and threats. Using partial least-squares structural equation modeling (PLS-SEM), 446 respondents participated and were analyzed. The findings suggest that highly motivated employees with high severity, vulnerability, response efficacy, and self-efficacy exercise cybersecurity. Incorporating the users’ perceptions of vulnerability and severity facilitates behavioral change and increases the understanding of cybersecurity behavior’s role in addressing cybersecurity threats—particularly the impact of the threat response in predicting the cybersecurity behavior of government employees. The implications include providing robust information security protection to the government information systems.
Abstract Background The nursing profession's uniqueness contributes to the development of knowledge, experience, age, education, economy, and position, as well as a unique gender role. Thus, the development and advancement of demographic characteristics of nurses while in this profession influences their caring behavior. Objective The purpose of this study was to determine the effect of work setting and demographic factors on nurses' caring behaviour, as well as the differences in nurses' caring behaviour based on demographic factors between nurses in public hospitals and nurses in public health services in Sabah, Malaysia. Methods This research is a cross-sectional study using the survey method. Data were collected from 3,532 nurses (88.3% response rate) in public hospitals and public health services within Sabah, Malaysia. Data were analysed using two-way ANOVA. Results The two-way ANOVA test revealed no significant impact of the work setting on CB, nor was there a notable interaction between the work setting and demographic factors influencing nurses’ CB. However, demographic factors such as gender, age, education, economic status, position, and experience had a significant effect on CB. Conclusion The present research has provided convergent evidence on the effect of demographic factors on nurses caring behavior and the differences in caring behavior based on demographic factors among nurses in public hospitals and public health services in Sabah, Malaysia.
The introduction of artificial intelligence (AI) marks the beginning of a revolutionary period for the global economic environments, particularly in the developing economies of Africa. This concept paper explores the various ways in which AI can stimulate economic growth and innovation in developing markets, despite the challenges they face. By examining examples like VetAfrica, we investigate how AI-powered applications are transforming conventional business models and improving access to financial resources. This highlights the potential of AI in overcoming obstacles such as inefficient procedures and restricted availability of capital. Although AI shows potential, its implementation in these areas faces obstacles such as insufficient digital infrastructure, limited data availability, and a lack of necessary skills. There is a strong focus on the need for a balanced integration of AI, which involves aligning technological progress with ethical considerations and economic inclusivity. This paper focuses on clarifying the capabilities of AI in addressing economic disparities, improving productivity, and promoting sustainable development. It also aims to address the challenges associated with digital infrastructure, regulatory frameworks, and workforce transformation. The methodology involves a comprehensive review of relevant theories, literature, and policy documents, complemented by comparative analysis across South Africa, Nigeria, and Mauritius to illustrate transformative strategies in AI adoption. We propose strategic recommendations to effectively and ethically utilize the potential of AI, by advocating for substantial investments in digital infrastructure, education, and legal frameworks. This will enable Africa to fully benefit from the transformative impact of AI on its economic landscape. This discourse seeks to offer valuable insights for policymakers, entrepreneurs, and investors, emphasizing innovative AI applications for business growth and financing, thereby promoting economic empowerment in developing economies.
This study investigates the positive effect of social media on employee mental health, a critical factor affecting both individual well-being and organizational performance. Addressing a gap in empirical research, particularly in Malaysian context, this study utilizes a two-round Delphi method to gather expert opinions from diverse fields, sectors, industries, and generations. The research identified 41 themes, subsequently categorized into five key dimensions. The study found that interpersonal connection was the most important dimension, followed by psychological well-being, performance and satisfaction, growth and development, and working culture. This research elucidates the multifaceted benefits of social media in enhancing employee mental health and offers comprehensive insights into its constructive role in the workplace. Contributing to the literature, it provides practical implications and strategic recommendations for organizations to leverage social media effectively to bolster employee mental health.
The term learning disabilities is set as a broad category of neurological disorders due to a deficit in the cardinal neural system that bear upon a person's ability to preserve, process or convey information efficiently to other masses. However, there is no standard definition of LD and the concept is yet under discussion wordlwidely. The aim of this paper is to review the literature on the externalizing behaviours of persons with Learning Disabilities (LD) and the difficulties they faced due to the externalizing behaviours. Relevant literatures were gathered and synthesized, it was found that four aspects of external behaviours were frequently discussed which are defiant, aggression, hyperactivity-impulsivity and antisocial. Meanwhile, seven domains (major life areas, general tasks and demands, academic performance, community and social life, communication, interpersonal interactions and relationship, and domestic life) were discussed which associated with the difficulties faced by persons with LD due to the externalizing behaviours. This review can be practical for further investigation of externalizing behaviours characteristics of persons with LD in several perspectives especially in the educational setting.
Purpose This study provide an in-depth review on the knowledge structure of green information technology (GIT) adoption and behavior. Environmental degradation has escalated even further with information and digital technology development. Researchers have come up with a new concept of GIT to dampen the carbon emission due to the excessive use of IT in today’s everyday usage. A similar terminology, green information system (GIS), is a rather broad understanding of GIT, which relates to the environmental management system to improve operations in the organization and will be included in the scope of the study. Design/methodology/approach This study presents a science mapping analysis through a bibliometric review to explore emerging trends and predict future trends based on 293 publications in the Web of Science. Findings The bibliographic coupling analysis discovered five themes related to the theoretical foundation of GIT and the determinants of their adoption. The five themes are (1) theoretical foundation in GIT, (2) determinants of green IT and IS adoption, (3) fundamental of GIT and information science, (4) green technologies and green computing and (5) determinants of managers green IT adoption behavior. While co-word analysis presents the impact of GIT, driving performance and energy efficiency through the adoption of GIT producing four themes, (1) GIT acceptance through the theory of planned behavior, (2) impact of GIT’s: strategies for sustainable implementation, (3) driving sustainable performance through green innovation in information systems and technology and (4) energy efficiency and sustainability in green computing and cloud computing. Research limitations/implications The finding is relevant to managers, researchers and stakeholders bounded by environmental responsibilities to mitigate its impact on the socioeconomic and environment through GIT adoption. Originality/value The contribution of this study is presenting an in-depth analysis of the knowledge structure through bibliometric analysis by providing network visualization on one of the crucial pro-environmental behavior.
The transition to university is one of the ecological transition in which an individual experience
a change in the environment due to the shift of role, location, or both. Looking at the importance of
demographic factors to the academic adjustment, the current study aimed to investigate the predictive factor of
demographic characteristics of gender, ethnicity, pre-university academic preparation, parental educational
level, perceived adult status, and Grade Point Average (GPA) on academic adjustment among freshman in
Malaysia. Data were gathered from one of the public universities in East Malaysia namely, Sabah. The findings
show that only gender, ethnicity, and perceived adult status show a significant predictor on academic
adjustment. Specifically, female students have higher academic achievement than male students; Chinese
students have a higher academic achievement than Sabahan Native students; and emerging adult students have
a higher academic achievement than self-perceived adult students. Theoretical and practical implications
towards academic adjustment literature are further discussed.
Purpose: The study’s first objective was to investigate whether the utilization of the cooperative learning method can enhance Chinese college students’ performance and motivation in English communicative competence. The second objective was to explore students’ views on the cooperative learning method in learning communicative competence. Methodology: This study employed a quasi-experimental design using quantitative and qualitative data. The sample was 80 first-year non-English majors from two polytechnic colleges in Guangdong, China. The Experimental Group and the Control Group, respectively, consisted of 40 students. The Experimental Group was taught using the STAD (cooperative learning) method and the Control Group was taught using the conventional method for eight weeks. Before the intervention, both groups were given a pre-test and after the intervention, they were given a post-test to gauge their performance in English communicative competence. Following that, 8 students from the Experimental Group were interviewed, using semi-structured interview questions to explore their views and experiences on the STAD method. Findings: Results from the post-test indicated that the Experimental Group significantly outperformed the Control Group in their overall score for communicative competence and motivation. Thematic analysis from the focus-group interview showed that the STAD method was a very effective teaching tool in enhancing students’ English communicative competence and facilitated them to improve their fluency and coherence, lexical resource, grammatical range and accuracy, pronunciation, and listening skills. Conclusion: This study has crucial pedagogical implications because it suggests that the STAD method can enhance students’ English communicative competence.
The study examines the model fit of individual cognitive empowerment, which includes psychological and environmental factors, and investigates the direct effect of environmental empowerment specifically work methods, work criteria, and work schedules on in-role performance in Malaysia’s Electrical and Electronic (E&E) manufacturing firms. Data were obtained from 173 engineers and 173 managers, matched in pairs, who have worked together for at least 1 year in 73 E&E manufacturing firms. The study found that the model fit of psychological and environmental factors is stronger for individual cognitive empowerment. Work methods show a positive direct effect on in-role performance. However, work schedules and work criteria do not appear to have a direct effect on in-role performance. This study highlights the importance of considering work methods in the engagement between engineer and manager pairs in the E&E manufacturing sector to enhance in-role performance.
'/%3e%3cuse xlink:href='%23a' transform='translate(0 -400)'/%3e%3cuse xlink:href='%23a' transform='translate(0 -600)'/%3e%3cuse xlink:href='%23a' transform='translate(0 -800)'/%3e%3cuse xlink:href='%23a' transform='translate(0 -1000)'/%3e%3cuse xlink:href='%23a' transform='translate(0 -1200)'/%3e%3cpath d='M0 0h1400v800H0z' style='fill:%23010066'/%3e%3cpath d='M576 100c-166.146 0-301 134.406-301 300s134.854 300 301 300c60.027 0 115.955-17.564 162.927-47.783-27.353 9.44-56.71 14.602-87.271 14.602-147.327 0-266.897-119.172-266.897-266.01 0-146.837 119.57-266.01 266.897-266.01 32.558 0 63.746 5.815 92.602 16.468C696.217 118.91 638.305 100 576 100z' style='fill:%23fc0'/%3e%3cpath d='m914.286 471.429-99.538-53.25 29.43 108.982-66.575-91.165-20.77 110.96-20.428-111.024-66.857 90.96L699.314 418l-99.701 52.943 74.065-85.192-112.8 4.441 103.694-44.62-103.555-44.94L673.8 305.42 600 220l99.538 53.25-29.43-108.982 66.575 91.165 20.77-110.96 20.428 111.023 66.857-90.959L814.97 273.43l99.702-52.944-74.065 85.193 112.8-4.441-103.694 44.62 103.555 44.94-112.785-4.79z' style='fill:%23fc0' transform='matrix(1.2738 0 0 1.2423 -89.443 -29.478)'/%3e%3c/svg%3e)
