Exploring Knowledge Sharing Practices for Raising Security Awareness

This study aims to explore the types of information can be effectively communicated in three knowledge-sharing methods and their impact on employees’ security practice. On one end, guarding the organisation’s information system against cyber-attacks is critical and improving users’ knowledge and skills is a common approach to any security program. On the other end, organisations lack a clear understanding in determining what types of security information should be delivered through various methods of communication to be effective in boosting users’ knowledge and compliance behaviour. The study employed a qualitative method using semi-structured interviews with business users in Vietnam. The initial findings indicate a single method of knowledge and skill development is not sufficient to assist users to deal with complex and constant changing security needs. It is necessary to further experiment methods of encouraging formal and peer knowledge sharing that can support individual effort in complying with security policies

Budidaya Maggot Lalat BSF Sebagai Pakan Ternak, KKN-Reguler Desa Bone-Bone Universitas Muhammadiyah Enrekang (UNIMEN)

Waste management in a number of areas in the country is still limited and is still a problem for the environment. One way to manage waste wisely is by using it as a medium for cultivating BSF fly maggots (black soldier flies). That's why the Regular Community Service Team at Muhammadiyah University, Enrekang, Bone-bone Village Command Post, Baraka District, Enrekang Regency is cultivating BSF fly maggots in Bone-bone village. The aim of this program is to empower Bone-bone village residents to manage organic waste by cultivating BSF fly maggots into animal feed. The implementation method is by conducting training and at the same time practicing with the local Bone-bone village community and making BSF fly cages directly. The result of this activity is that animal feed is produced in the form of BSF fly maggots and organic fertilizer in packaged form ready to be marketed. The evaluation results also show that there is positive enthusiasm from residents to carry out the same cultivation

Other Lean Tools in Fashion and Textile Manufacturing

This chapter discusses how waste reduction, process efficiency and safety in textile manufacturing can be managed using lean manufacturing tools: namely Muda, six Sigma and statistical process control, in addition to ergonomics. Muda approach identifies seven waste groups in post-implementation manufacturing process. The chapter highlights four Muda techniques to perform the waste identification including building lean thinking and cultures, hybrid approach of combining multiple decision-making methods, integrating lean and green management, and value stream mapping to prioritize responses to wastes. Statistical process control focuses on process deviation in manufacturing and provide a real-time analysis to enhance the future production predictability. Six Sigma is a process-based strategy consisting of five stages (DMAIC-Define, measure, analyze, improve, and control) used as a data-driven process to eradicate defects in manufacturing process. Finally, ergonomics which focuses on interactions among humans and other elements of a system to optimize human well-being and overall system performance, is recommended to combine with lean manufacturing to improve quality and well-being of workers in textile industry

An Exploratory Study of the Effects of Knowledge Sharing Methods on Cyber Security Practice

In a networked global economy, cyber security threats have accelerated at an enormous rate. The security infrastructure at organisational and national levels are often ineffective against these threats. As a result, academics have focused their research on information security risks and technical perspectives to enhance human-related security measures. To further extend this trend of research, this study examines the effects of three knowledge sharing methods on user security practices: security training, social media communication, and local security experts (non-IT staff). The study adopts a phenomenological method employing in-depth focus group interviews with 30 participants from eight organisations located in Ho Chi Minh city, Vietnam. The study expands on understanding factors contributing to self-efficacy and security practice through various knowledge sharing channels. Current methods of periodical training and broadcast emails were found to be less effective in encouraging participants to develop security self-efficacy and were often ignored. Security knowledge sharing through social media and local experts were identified as supplementary methods in maintaining employees’ security awareness. In particular, social media is suggested as a preferred channel for disseminating urgent security alerts and seeking peer advice. Local security experts are praised for providing timely and contextualised security advice where member trust is needed. This study suggests that provisions of contemporary channels for security information and knowledge sharing between organisations and employees can gain regular attention from employees, hence leading to more effective security practices

Investigating Stakeholder Perspectives on the Knowledge Management of Construction Projects: A Case Study of the Vietnamese Construction Industry

Knowledge management (KM) is imperative for the successful completion of complex projects. This research, which constitutes a recent doctoral dissertation, centers on exploring the KM practices of internal project stakeholders in managing emergent events within construction projects during the construction stage. Herein, a qualitative approach was utilized. Twenty-five semi-structured interviews were conducted with experts from five internal project stakeholders. A thematic analysis was subsequently conducted using NVivo12 qualitative data analysis software. This study identified a total of eleven types of events categorized into four major themes. Furthermore, the analysis highlighted KM mechanisms applied by construction project stakeholders to overcome the events. In the emergent events context, personalization techniques, such as face-to-face meetings and discussions, are more effective for problem-solving. This study aims to enable Vietnamese construction companies to understand the importance of different KM mechanisms in the emergent events context and offers recommendations on effective KM

Estimates of Heritabilities of Milk Fat and Milk Protein and Their Correlations with Milk Yield in Sahiwal Cattle of Punjab Pakistan

This study aimed to estimate the genetic parameters for lactation milk yield (LMY), lactation fat yield (LFY), and lactation protein yield (LPY) in the Sahiwal cattle breed of Pakistan. Performance data of 3364 purebred Sahiwal cattle with 9964 herd test records were collected from the public and/or private herds. Various edits were applied, such as herd test day records < 3, unknown calving and drying dates, etc., which reduced the data set to 1039 animals with 4489 herd test records. Lactation yields for milk, fat, and protein were calculated using the test interval method. Preliminary data analysis was performed using PROC MIXED in SAS. The animal model under the REML method was used to estimate the genetic parameters of the milk yield, milk fat, and milk protein. A multivariate model (3-traits) was fitted, which included the fixed effects of parity besides random effects of herd-year-season of calving (HYS), animal and residuals for all three traits. Mean ± SD (kg) of LMY, LFY, and LPY were 1444.07±554.51, 60.48±25.18, and 48.26±19.39, respectively. Parity and HYS significantly varied (p<0.05) among cows for all investigated production traits. The estimates of heritabilities with their standard errors for LMY, LFY, and LPY were 0.164±0.065, 0.124±0.061, and 0.181±0.067, respectively. The phenotypic and genetic correlations were high among all three production traits, which ranged between 0.879 to 0.975 and 0.990 to 0.999, respectively, with standard errors ranging from 0.002 to 0.03. Low to moderate heritability estimates for milk component traits obtained in the present study suggest that these traits could be improved through genetic selection