In the Big Data age, businesses in every industry must deal with vast volumes of data. Several experts and practitioners have lately emphasized the need of understanding how, why, and when Big Data Analytics (BDA) applications may be a valuable resource for businesses seeking a competitive edge. However, BDA pays off for some firms while failing to pay off for others due to the fact that investment in Big Data continues to present significant challenges due to the missing link between analytics capabilities and firm performance. According to a recent survey, many businesses spend the bulk of their time analyzing data, with only a tiny fraction employing Big Data Analytics to forecast outcomes and even fewer utilizing analytics apps to enhance processes and strategies. As a result, BDA is not widely used, and only a few companies have seen any benefit from it. To address this issue in the telecommunications domain and in light of the paucity of research on the subject, this study focused on the BDA Pillars (BDAP) in order to achieve benefits through increased revenues and cost savings. For the purpose of this research we have adopted qualitative approach with case study method, and technique of data collection includes semi-structure interview and document analysis. The Delphi technique and in-depth interviews conducted confirmed the existence of five critical elements that contribute to the sustainability of BDAPs and their impact on firm performance.

Industry4WRD is Malaysia's effort to become a technological frontrunner in the Fourth Industrial Revolution (4IR). Based on the Theory of Inventive Problem Solving (TRIZ) and scholarly insights on technology adoption, this study creates a flexible 4IR intervention framework for Malaysia's Manufacturing and Related Services (MRS) industry. The evidence-focused reviews, Delphi surveys, content analysis, and patent evaluations comprise the framework's backbone and provide direction for MRS businesses adopting 4IR technologies while keeping risks in check. It is of universal interest because it helps governments and businesses deal with the challenges posed by the 4IR. Ultimately, it helps Malaysian MRS industries to flourish in 4IR tech, promote economic growth, generate employment, and enhance the quality of life in a rapidly developing technology context.

As part of its "industry revolution plan," also known as "Industry4WRD," Malaysia has accepted and implemented contemporary technology, transforming Malaysia's diverse industrial sectors. We are currently well-established fourth Industrial Revolution of human history. The range and sophistication of digital instruments have increased significantly in recent years. Everything from robots to the Internet of Things (IoT) devices, communications infrastructure, data centres, and their power requirements. The manufacturing industry must develop innovative technologies, designs, structures, and concepts for communication and data storage to enhance the digital world's functioning and reduce the amount of energy necessary to operate it. Industry 5.0 is the next wave of industrial innovation, and industry experts eagerly anticipate its arrival. To increase industrial efficiency and flexibility, digitalisation and AI-driven technologies have supplanted the original goals of Industry 4.0, which included social fairness and sustainability. One interpretation of Industry 5.0 is that it is the return of the "human-centred" emphasis of Industry 4.0. By prioritising the well-being of people and the planet over pursuing financial gain, technological breakthroughs in industrial production would acquire a renewed sense of purpose and direction. A literature search was conducted to learn more about the first description of Industry 5.0. By utilising this strategy for systematic literature research, we could understand the concept and the most recent advancements in various published works. Following this, we used the software NVivo to develop a conceptual framework congruent with the study's objectives.

The Malaysian industrial revolution strategy, also known as Industry4WRD, has been the driving force behind the transformation of the industrial sectors by accepting and implementing modern technology. The initial phase of the Industry4WRD initiative focuses on the readiness assessment of industrial businesses to determine their level of adoption of Industry 4.0. However, the second phase challenges firms to advance and increase their readiness index. According to data collected from 473 firms, the 'People' shift element has the most significant obstacle for companies to overcome, particularly for small and medium-sized businesses (SMEs). In the 'people' dimensions of Industry4WRD, the research emphasised the importance of competency in developing human capital for 5G technology applications. The benchmarking technique revealed five skill levels, the competency unit and work activities associated with 5G telecommunications and system networks. The theory of creative problem solving (TRIZ) was applied to a system-based idea to develop a conceptual competence framework. Twenty-five firms were selected and contributed to this research by designing and verifying a conceptual competence framework for 5G technology implementation. With a 0.81 concordance coefficient, the study's objective has been accomplished by obtaining a high level of unanimity across 25 organisations in three rounds of the Delphi poll. As a guideline, the conceptual competency framework may be utilised to create other technology competencies, such as automation and artificial intelligence workforce. It would benefit the country to conduct more research on the specifics of competence units depending on the needs of industrial sectors.

Understanding the trends of evolution in a technology is essential to make appropriate decisions. This paper aimed at mapping the technological evolution in automotive industries and understanding the main trends through patent data. Thus, the objective of this paper is to provide a structured overview for identifying the trend of patent in three automotive companies by employing text mining techniques. In natural language processing (NLP), text mining is used to determine several features such as segmentations and attributes of data. To achieve the objective, the abstract of patent documents in the period of the last two decades are mined from the DWPI database. To demonstrate the behaviour of selected patent documents, word cloud, co-occurrence networks and correspondence analysis are presented.

The integration of the Internet of Things (IoT) in sustainable buildings has gained significant attention due to its potential to optimize energy use, improve occupant health and enhance environmental performance. This study provides a comprehensive analysis of IoT applications in sustainable buildings from 2019 to 2023 using sciencetometric techniques. A systematic review of the literature was conducted through databases such as Scopus and Web of Science, identifying key trends, sensor types and applications. Statistical analyses, including regression, chi-square tests and time-series analysis, were employed to validate observed trends and assess the significance of year-wise publication growth. The findings reveal that energy performance optimization, occupancy management and environmental monitoring are the most prominent applications of IoT in sustainable buildings. Additionally, IoT-enabled Building Management Systems (BMS) have been increasingly recognized for their role in enhancing energy efficiency, while emerging technologies like blockchain and low-cost sensors are proposed as potential solutions to address challenges such as high implementation costs and data security concerns. This study highlights the evolving role of IoT in shaping smart, sustainable building practices and identifies key areas for future research, including the development of affordable solutions and standardized protocols for broader adoption in small and medium-sized buildings.