Modelling of Ladyfinger Plantations Using Open Data Malaysia: A Comparative Study of Machine Learning Techniques

This study investigates the potential of using open data from Open Data Malaysia to develop classification models for agricultural practices specifically focusing on ladyfinger plantations. The integration of climate data with agricultural data is performed to build predictive models for crop yield prediction for sustainable agriculture. Four machine learning models, namely Naïve Bayes, SVM, KNN, and decision tree, are evaluated based on various performance metrics. The ladyfinger dataset was obtained from Open Data Malaysia containing both climate and agricultural data. was preprocessed and mined. The results indicate that the Naïve Bayes model achieves the highest performance making it the most suitable model for predicting ladyfinger yield. The decision tree model performed poorly and may not be suitable for this type of classification task. This study highlights two important findings. Firtstly, the inclusion of climate data significantly improved the classification performance of the models. Secondly the limited size of the ladyfinger dataset emphasizes the need for larger and more diverse datasets to enhance the accuracy and generalizability of predictive models in agriculture. Open data initiatives are important for providing researchers with data however larger and more diverse datasets are needed to improve model accuracy. Future research could investigate machine learning models for predicting crop yields in different crops with various climate and agricultural data combinations

Influence of organizational culture on organizational performance, perceived obstacles and technology usage intention amongst small and medium enterprises in Malaysia

The failure to adopt and absorb the benefits of advanced technologies (AMT) for their own advantage can hinder small and medium companies from becoming or remaining competitive in the global market. Therefore, this study aims to investigate the relationship between organizational culture on the perceived obstacles of AMT adoption, organizational performance and technology usage intention. In addition this study seeks to determine the role of perceived benefits of AMT adoption as mediator on the relationship between organizational performance and technology usage intention. Based on the gaps in the body of knowledge and objectives of the study theoretical framework were developed. Based on the data collected from 152 SME manufacturers only 140 SME manufacturers were qualified for further analysis. The data was analyzed using Statistical Package for Social Science (SPSS) version 15.0 (Pearson Correlation, Multiple Regression and Hierarchical Mediated Regression). Competing Value Framework which consists of four culture: group, developmental, rationale and hierarchy culture proposed by Quinn and Rohrbaugh (1981) was used in this study. Results indicate that regardless of the organizational culture, firms perceived that financial, knowledge, and infrastructure and external support are the obstacles towards the technology adoption. However, it was found, the higher the group or the rationale culture, the less likely firms perceived people resistance as obstacles towards technology adoption. Based on this study, it was also found that high rationale culture value in the organization will lead to the high level of technology usage intention. In terms of perceived benefits, firms that perceived high operational and managerial benefits as a result of adopting the technology have higher technology usage intentions. Meanwhile, for perceived obstacles, the result showed that the higher firms perceived people resistance and knowledge as an obstacle toward technology adoption, the lower their technology usage intention, while, the higher firms perceive financial, and infrastructure and external support obstacles, the higher their technology usage intention. This study suggests that organization with stronger elements of group culture and rationale culture are more likely to experience higher performance. This study also found that performance level impact the way firms perceived benefits of AMT adoption. This implies that, the higher the performance of the organizations, the more likely they perceived the operational, managerial and competitive benefits as a result from AMT adoption. Further analysis on this study signifies that the effect of organizational performance towards technology usage intention is greater when these firms perceived higher operational and managerial benefits as a result of the technology adoption. This study offered several implications for both the academic and practitioner audience. This study has covered the identified gaps and added value to the knowledge on the field of advanced technology adoption and organizational culture. Meanwhile, practical implications addressed the contributions made towards improving the advanced manufacturing adoption amongst SME

Understanding future adopters of advanced manufacturing technology: Evidences from Malaysian SMEs

Advanced manufacturing technology is a computer-based technology or can simply be any technology which is advanced to a firm when compared to its previous or current manufacturing technology. These technologies include technologies that can be used to support designing, processing, packaging, and supply chain activities. This research investigates why firms do not adopt AMT although they have the intention to adopt (we term them as the “future adopters”). This paper highlights what future adopters perceive as benefits of AMT adoption. As they have the intention to adopt, but yet to adopt, the paper also unveils their major obstacles towards the technology adoption. Based on survey results of 140 SMEs, the study found that finance and lack of knowledge as the top two obstacles of AMT adoption. Further statistical analysis indicates, these hold true for both performing and less performing SMEs. Meanwhile, competitive benefits were found as a major driver for their intention to have the technology. This study contributes in terms of understanding the underlying dimensions of perceived benefits and obstacles of technology adoption within the context of the future adopters. Perhaps, a new perspective from which many more studies could be developed. The results of the study can serve as guidelines to the practitioner and the policy makers

Obstacles in Green Practices Adoption: From the Perspectives of Green Hotels

Environmental problems facing today's world are claimed to be done by human activities through industrialization processes. Thus, action needs to be taken by businesses to control and stop this problem from become worse. Besides that, the changing in government regulations and consumer demands for more environmentally friendly products and services also drove businesses to consider environmental concerns in their daily operations. However, what has not yet been addressed are the obstacles faced by the hotel industry in adopting green practices. Therefore, this study will identify the barriers that hinder hotel industry from adopting green practices in their operations. Based on past research, the hotel industry contributes more to environmental pollution than other service industries. Therefore, samples are taken from green hotels in the United Kingdom and selected through the Green Tourism Business Scheme. This study will employ qualitative research through a case study to achieve this research's aim. The results show that barriers in green practices adoption are divided into two main themes: internal and external obstacles. The results of this study will have relevance for both researchers and practitioners as a model to identify the barriers to green practices adoption in hotel industry

Evaluation on the perceived benefits and obstacles of technology implementation and the role of organizational culture: evidences from Malaysian SMEs

Technological innovations are changing rapidly and firms have to continuously update their operation technologies to ensure sustainability and competitiveness. However, new technology adoption is a risky endeavour which may seriously endanger the long-term profitability of the firms. Therefore, technology adoption continues to be an important research agenda as many firms are still struggling with the implementation issues. This study investigates why firms do not adopt new manufacturing technology although they have the intention to adopt. Specifically, it focuses on the influence of organizational culture on the perceived benefits and obstacles of technology implementation. Based on survey results of 140 SMEs, this study found that financial constraint and lack of knowledge as the top two perceived obstacles of technology adoption. Meanwhile, competitive benefits were found as a major driver for their intention to have the technology. Although organizational culture was found to have no influence on perceived benefits of technology adoption, firms with different culture differ in terms of ways in which they perceived obstacles to technology adoption. It was found that group culture is less likely to perceive people resistance as obstacles to technology adoption. This study helps to address issues related to the importance of having the right organizational culture within the context of technology adoption. The results of the study can serve as guidelines to the practitioner and the policy makers

Effects of organisational, individual and contextual factors on employees’ intentions to adopt green practices

Building on the perspectives of the theory of planned behaviour, behaviour spillover, and social bond, this study develops and tests an integrative framework that explores the linkages between hotel employees’ organisational commitment (OC) and pro-environmental behaviour in the home (PEBH) as key antecedents affecting their intention to adopt green practices in the workplace (IGPW). We further examine the moderating role played by green organisational climate (GOC). Empirical results from 407 Malaysian hotel employees show that employees’ PEBH enhances IGPW via attitude and perceived behavioural control (PBC); OC positively affects intention mediated only by attitude, and GOC strengthens the effect of OC on PBC. These findings provide novel evidence concerning the importance of the contextual and organisational environment in shaping employees’ green behaviour

Essential of RFID Technology in Supply Chain Management: A review on Digital Perspective

Barcode has been identified as the main tool in supply chain management (SCM) science since the 1970s. Recently, the growing interest of many industries have emphasised cost saving by implementing radio frequency identification (RFID) technology. This paper provides an overview of RFID’s technical characteristics and implications in supply chains. The paper also highlights the advantages of inventory control and management that assists organization to understand how RFID provides comprehensive services with a cost-saving approach. Thus, this paper can be used as a resource for future studies in this area

Integrated Knowledge Management Tools for Sharing Knowledge in Implementing Building Information Modelling (BIM): The Case of Malaysian Construction Organisations

Building Information Modelling is an innovative technology coupled with the process and human interactions. BIM has been used by the Architecture, Engineering, and Construction (AEC) industry in developed and developing countries, including Malaysia. Implementing BIM in construction organisations involves knowledge sharing between employees in the organisations, as well as project team players from other organisations due to the nature of project-based organisations and the multidisciplinary players. This paper aims to explore and identify the KM tools used for sharing knowledge in implementing BIM in Malaysian Construction Industry. This paper begins with a literature review and then reports on the findings of case studies of selected Malaysian construction organisations. The review highlights several KM tools or approaches used to support KM processes and sub-processes. The result from the analysis showed that KM tools used to facilitate KS in implementing BIM was a balance between the application of KM technologies and KM techniques, which indicates the equal importance of both tools in supporting KS in implementing BIM

Challenges and opportunities of disaster education program among UUM student

“Disaster education” is a new area and concepts in the field of education in Malaysia. UUM students are less exposed to Disaster education compared with students in the other country. Nowadays, there have been significant increases in the frequency of the disasters. The goals of this research are given knowledge for UUM student to prevent, prepared and more aware of the future disaster. Providing UUM students with disaster education is one of the steps towards the creating of the culture of prevention and preparedness within each other. The aimed of this study on “Disaster Education” is for reducing vulnerabilities to natural hazards and makes people more aware of the natural disaster. The importance of disaster education is for reducing disaster and achieves safety of human for sustainable development among university students. Based on these literature findings, the questionnaires were conducted among UUM students to explore the challenges and opportunity of Disaster Education Program among UUM students. The objective of this research is to present the questionnaire findings on challenges and opportunities of disaster education among UUM students is related to the disaster knowledge factors. A comprehensive list of challenges and opportunities for disaster education program among UUM students is identified from this research

Meta-analysis of food supply chain: pre, during and post COVID-19 pandemic

Abstract Background Despite the unprecedented impact of COVID-19 on the food supply chain since 2020. Understanding the current trends of research and scenarios in the food supply chain is critical for developing effective strategies to address the present issue. This study aims to provide comprehensive insights into the pre, during, and post COVID-19 pandemic in the food supply chain. Methodology This study used the Scopus database from 1995 to November 6, 2022, to analyse the food supply chain. Bibliometric analysis was conducted using VOSviewer software to create knowledge maps and visualizations for co-occurrence, co-authorship, and country collaboration. Biblioshiny, a shiny app for the Bibliometrix R package, was then used to explore theme evaluation path maps in the research domain. Results The bibliometric analysis of 2523 documents provides important insights into present and future publication trends. Top author keywords included blockchain, traceability, food safety, sustainability, and supply chain management. The Sustainability (Switzerland) journal ranked first in productivity, and the International Journal of Production Economics received the highest citations. The United Kingdom was the most productive country, collaborating with partners in Europe, Asia, and North America. The Netherlands had the highest percentage of documents with international authors, while India and China had the lowest. The thematic evaluation maps revealed that articles focused on important research topics including food processing industry, information sharing, risk assessment, decision-making, biodiversity, food safety, and food waste. Conclusion This study contribute to the growing body of literature on the food supply chain by providing a comprehensive analysis of research trends during different phases of the pandemic. The findings can be used to inform policymakers and industry leaders about the measures required to build a more resilient and sustainable food supply chain infrastructure for the future. This study considered only Scopus online database for bibliometric analysis, which may have limited the search strategy. Future studies are encouraged to consider related published articles by linking multiple databases