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Industrial Revolution 4.0 encourages the digitalization of manufacturing, especially in terms of improving the supply chain processes. Currently, the development of information technology follows the principles of Industrial Revolution 4.0 in the form of interconnections/connections to communicate with machines, transparency, and technical assistance. The presence of a decision support system, COBIT 5, and ISO 9126 are expected to maximize business processes and technology. Thus, relationship analysis needs to be carried out on decision support systems, COBIT 5, and ISO 9126, to determine the relationship of each variable with the supply chain process. Relationship testing can be performed using statistical tool such as Structural Equation Modelling (SEM). The study focuses in analyzing influence of DSS COBIT 5 variables, ISO 9126 functionality, ISO 9126 reliability, and decision support systems on supply chain management. The primary data are based on questionnaires to employees of the furniture manufacturing industry. The results of this study are DSS COBIT 5, functionality ISO 9126, reliability ISO 9126, and decision support systems significantly affecting the supply chain management process. Thus, the industry needs to focus on implementing these factors so that business processes comply with the standards and principles of the industrial revolution 4.0.

E-Learning is widely used in distance education, particularly in vocational high schools (VHS), where it supports students in accessing materials and engaging in interactive learning without face-to-face interaction. These portals are crucial for developing both practical and theoretical skills. However, the effectiveness and usability of E-Learning systems in VHS are critical concerns. Given the unique needs of VHS students, these platforms must efficiently deliver content and support skill development through interactive modules. Ensuring the quality of E-Learning systems is essential for meeting the educational goals of vocational programs. This study evaluates the VHS E-Learning portal using the ISO 9126 standard, a recognised framework for software quality assessment that includes functionality, usability, reliability, and efficiency. Despite the broad adoption of E-Learning, there is a research gap specifically focused on quality assurance for VHS portals. This study addresses that gap, offering insights and recommendations to enhance the effectiveness of E-Learning in vocational education, ensuring these portals meet the high standards necessary for vocational training success.

In the increasingly competitive landscape of the manufacturing industry, leveraging advancements in information technology has become pivotal for gaining a competitive edge. Specifically, the furniture manufacturing industry has adopted decision support systems (DSS) to meet diverse information needs. However, user concerns regarding these systems, including information reporting speed, order reception, and the accuracy of raw material usage calculations, persist. The development of any system necessitates the application of quality assurance standards that align with user requirements. In light of these concerns, the measurement of software quality emerges as an essential strategy to assuage user doubts about the DSS. Employing the ISO 9126 standard as an assessment parameter provides a reliable framework for evaluating the quality of the DSS. Although the ISO 9126 model possesses several characteristics, this study focuses exclusively on two: functionality and reliability. The anticipated outcome of this research is a refined understanding of user satisfaction pertaining to the implementation of the DSS. Consequently, this study's findings may contribute to the DSS's credibility, specifically concerning the speed of reporting, order reception, and the precision of raw material usage calculation. This, in turn, can influence the decision-making process in production, thereby enhancing the overall effectiveness of the manufacturing industry.

The usability of a software product has recently become a key software quality factor. The International Organization for Standardization (ISO) has developed a variety of models to specify and measure software usability but these individual models do not support all usability aspects. Furthermore, they are not yet well integrated into current software engineering practices and lack tool support. The aim of this research is to survey the actual representation (meanings and interpretations) of usability in ISO standards, indicate some of existing limitations and address them by proposing an enhanced, normative model for the evaluation of software usability.

Critical aspects of the environment can reduce the efficiency of Environmental Management Systems (EMS) when applied to Marine Transport. Accordingly, this paper focuses on the improvement of the traditional EMS approach through the usage of Balanced Scorecard (BSC). The BSC represents a managing tool able to measure and increase organizational performance, taking into consideration environmental aspects. The proposed method, based on the ISO 14001 standard, allows management of environmental metrics through conventional BSC systems and it is applied to the biggest organization for marine transport in Montenegro as a case study methodology. In this qualitative investigation, particular attention was paid to creating EMS criteria able to orient the complete business operation of the organization but also to test their potential linkage to the conventional BSC approach. Four models of the BSC were created, each one including to a different extent the issue of environmental protection. Finally, an expert’s evaluation of model efficiency, based on the ISO 9126, was carried out. As a result, the best ranked model is recommended for the selection of an approach toward environmental protection based on the use of the EMS metric in a conventional BSC system. This method—in short ECO-BSC—was developed for the specific benefit of those organizations operating on the marine transport market.

The issue on how to effectively deliver video streaming contents over cloud computing infrastructures is tackled in this study. Basically, quality of service of video streaming is strongly influenced by bandwidth, jitter and data loss problems. A number of intelligent video streaming algorithms are proposed by using different techniques to deal with such issues. This study aims to propose and demonstrate a novel decision making analysis which combines ISO 9126 (international standard for software engineering) and Analytic Hierarchy Process to help experts selecting the best video streaming algorithm for the case of private cloud computing infrastructure. The given case study concluded that Scalable Streaming algorithm is the best algorithm to be implemented for delivering high quality of service of video streaming over  the private cloud computing infrastructure.

This study addresses a significant problem: it is difficult to choose a suitable mobile learning platform effectively since many learning platforms are readily available for users. For this purpose, the study proposes an efficient way to rank and choose the most suitable mobile learning platform by integrating risk analysis and multi-criteria decision-making methods. The selection of a suitable mobile learning platform is challenging due to the vast collection of available platforms. Traditional decision-making approaches often struggle to manage the inherent uncertainty and subjectivity in platform evaluation. To address this, we propose an enhanced methodology that combines grey relational analysis (GRA) and fuzzy analytic hierarchy process (FAHP), leveraging their complementary strengths to provide a robust and adaptive solution. The study employs ISO/IEC 9126 software quality standards to locate the most suitable mobile learning platform. FMEA is based on three risk factors: occurrence, severity, and detection. The fuzzy analytical hierarchy process (FAHP) is used to determine the relative weight of each risk factor to identify the grey risk priority number that can be calculated for each criterion. Mobile learning platforms are then ranked based on their grey risk priority number. The method was applied to five widely used mobile learning platforms with three decision-makers. In addition, the multi-criteria decision-making software was developed to aid users, educators, and administrators in their decision-making processes. The integrated FMEA-GRA-FAHP technique, using ISO/IEC 9126 standards, provides an effective way of locating the most suitable mobile learning platform and ranking them according to their reliability. This research is believed to be the only study applying an integrated FMEA-GRA-FAHP approach to evaluate the risks and quality of mobile learning platforms. The unique approach overcomes certain limitations of the standalone methods such as FMEA and FAHP, making it a valuable tool for identifying the suitability of mobile learning platforms. In addition, the study underscores the importance of inclusivity and equity in ensuring high-quality education and creating an environment conducive to lifelong learning for all.

In higher education institutions, digital learning environments, referred to as virtual learning systems in this article, have been adopted and are becoming increasingly popular among academics. A virtual learning system (VLS) has a suite of tools with associated functions and non-functional system characteristics. Higher education institutions (HEIs) implement a VLS with the intent to assimilate e-Learning with face-to-face instruction and thereby derive associated benefits from its usage. Currently there is limited information on educators’ perceptions on the usefulness of VLS tool functionality, and the importance assigned to non-functional characteristics. This article adapted the generic framework of the ISO 9126 external software quality model to ascertain the perceptions of educators with regards to VLS functionality and non-functional quality characteristics. A case study research strategy was adopted, using two South African higher education institutions. The main contribution of this article is a proposed model representing VLS quality in use characteristics, measured by the constructs of perceived usefulness and perceived importance. In addition to the theoretical contribution, this article makes a practical contribution by providing educators’ recommendations on the improvement of VLS quality characteristics. This article has potentially useful implications for the use of a VLS by educators and future VLS design iterations.

Maintainability is an essential software quality attribute as software maintenance is a costly process. ISO 9126 characterised maintainability with five sub-characteristics, one of which is stability. Unstable software may lead to high maintenance cost and effort. Classes in object-oriented systems form the basic elements of the software architecture; hence, stable classes may contribute to reducing the software maintenance cost and effort. In this study, the author conducts an empirical study to evaluate the relationship between class stability and maintainability. The author correlates class stability with maintainability effort measured by the number of hours spent on maintenance activities and by the line of code changes. Results show that classes with higher values of stability measured by the class stability metric (CSM) are associated with a lower value of perfective maintenance effort measured by hours. CSM also correlated with all types of maintenance (corrective, adaptive and perfective) if measured for the cumulatively combined system classes in all iterations rather than per iteration. The author also found that none of the stability metrics show a relationship with maintainability when measured by number of line of code changes.