The medical industry incorporates technology and breaks different types of equipment into three various categories determined according to the technologies and their usage. The first category, which is the focus of this article, consists of devices that are directly linked to the life of the patients, for example a ventilator. The purpose of this study is to develop a new reliability technique, based on the Reliability Block Diagram (RBD) and Petri Net, for Category 1 equipment. The RBD, focuses on showing how the failure of different parts could affect the sub-systems of the equipment and how those failures could cause an overall system failure. The second method, Petri Net, is a tool that is used to analyze various types of information processing systems. Combining these two methods will allow the user to determine the reliability of the different systems and subsystems with various pieces of equipment. The knowledge gained by this analysis will be used to determine the likelihood that the failure of specific subsystems will cause an overall system failure. The overall anticipated result is to thoroughly develop this new methodology. The complete process that is used to finish the calculation process for the subsystems will be shown, in addition to the completion of the final Reliability Block Diagram.

Small and medium sized enterprises (SMEs) of Batik play strategic roles such as a substance, a mover, and a buffer of the nation’s economy and supporting the national economic growth sustain-ably. However, these SMEs have not been able to compete in both national and international levels. This is caused by the low rate of knowledge-creation. In line with this, this study aims to reveal how the knowledge-creation can create the competition atmosphere of the SMEs with the support from technology and entrepreneurship orientation. Additionally, the methodology employed in this study was explanatory survey design, with 286 Batik business units as sample. More specifically, the sampling technique to select the target area was non-probability in form of purposive sampling. The data were then analyzed using Structural Equation Modeling (SEM). Further, the result of this study reveals that knowledge-creation influences on creating the business competition atmosphere with the support of the technology and entrepreneurship and orientation. Based on the research finding, SMEs Batik finds it difficult to organize the collection of Explicit Knowledge into a more systematic media, due to the lack of media infrastructure to keep the knowledge. In addition, tech-nology adoption is not necessary for handmade batik by considering that handmade batik relies on personal skill.

The mobile services sector in Saudi Arabia has experienced significant growth in recent years, largely driven by the increasing demand for mobile communication and internet services. This systematic review aims to identify and evaluate the effective strategies for enhancing customer satisfaction in Saudi Arabia's mobile services sector. A systematic review was conducted across five databases from 1st January 2010 and 31st March 2023. The entire process was followed as recommended by the PRISMA guidelines. The findings suggest that the most effective strategies for enhancing customer satisfaction in the Saudi Arabian mobile services sector are improving network coverage, enhancing customer service, offering competitive pricing, introducing new technology and features, and providing value-added services. By adopting these strategies, mobile service providers in Saudi Arabia can enhance their customers' satisfaction, build stronger relationships with their customers, and ultimately increase customer loyalty. Moreover, the study revealed that a combination of these strategies would lead to higher levels of customer satisfaction. The study's findings indicate that mobile service providers in Saudi Arabia can enhance customer satisfaction by focusing on various strategies, such as improving network coverage, customer service, pricing, technology, and features, and providing value added services. Customer satisfaction is one of the main aspects of service delivery. Immediate measures in this regard will assist the mobile sector in Saudi Arabia to plan effective approaches to improve customer satisfaction; this, in turn, can give them a competitive edge in the market and sustain growth in the mobile services sector.

As battery electric vehicles become more prevalent in emerging markets, it is important that policymakers and the public consider their potential to contribute to the reduction of greenhouse gas emissions. This study explores the link between financial knowledge, attitude and green economic sustainability. The study, which was conducted in Indonesia, collected data about 155 individuals. Through a PLS-SEM analysis, the study revealed that financial knowledge and green innovation were related to the attitude toward sustainability. The study also found that green innovation was associated with the economic sustainability of the country. However, it did not find any significant relationship between financial knowledge and green investment. The study revealed that financial literacy is very important for consumers to adopt sustainable practices. It can help them make informed decisions when it comes to the use of battery electric vehicles. This study was conducted after the Indonesian government stated that it would promote the use of green products. Innovation and green investment can help improve the economic sustainability of a country by increasing people's green attitudes and knowledge.

In the era of IoT gaining traction, attacks on IoT-enabled devices are the order of the day that emanates the need for more protected IoT networks. IoT's key feature deals with massive amounts of data sensed by numerous heterogeneous IoT devices. Numerous machine learning techniques are used to collect data from different types of sensors on the objects and transform them into information relevant to the application. Furthermore, business and data analytics algorithms help in event prediction based on observed behavior and information. Routing information securely over the internet with limited resources in IoT applications is a key problem. The study proposes a model for detecting network anomalies in IoT devices to enhance the security of the devices. The study employed the IoT Botnet dataset, and K-fold cross-validation tests were used for validating the values of evaluation metrics. The average values of Accuracy, Precision, Recall, and F Score was 97.4.

This study has examined factors, such as technology and employee influence on artificial intelligence (AI) adoption of e-innovative projects in the United Arab Emirates. The present study revealed the success or failure of e-innovation adoption in the public sector of the UAE and hinted at potential e-innovative projects to consider essential factors before adopting it. The study's sample covered the government sector, and the data collection method was a survey questionnaire with a sample size of 1037 responses made up of government employees. This paper was mainly built upon the diffusion of innovation and technology acceptance theories. The analysis findings showed that technology (an external factor) significantly and positively contributed to adopting AI e-innovation technology. Further analysis revealed that employee (internal factor) proxies directly influenced the adoption of AI e-innovation technology. Overall, internal and external factors contributed to adopting e-innovation technology in the United Arab Emirates. For future directions, additional factors related to the market should be considered to explore their contribution.

In the current decade, with an increase in e-commerce, the logistics activities have grown rapidly. However, the logistics industry of the Malaysian country is declining, as the ranking of this industry has shown downfall continuously during the past few years. The decrease in logistics industry performance reduces the contribution in a Gross Domestic Product (GDP). Therefore, to address this issue, the primary objective of this study was to examine the role of strategic management accounting practices to enhance the profitability of the Malaysian logistics firms. Questionnaires were adopted to collect the primary data and they were distributed among the employees of the logistics companies. All the questionnaires were distributed through area cluster sampling technique. Partial least square (PLS) structural equation modelling (SEM) was used to analyze the collected data. The results indicate that strategic management accounting practices had a significant positive relationship with supply chain outcomes and supply chain outcomes had a significant positive relationship with the profitability of the logistics companies. Finally, this is one of the pioneer studies, which examined the impact of strategic management accounting practices on the outcome of the logistics firms.

The purpose of this paper is to investigate the drivers of firms’ sociability on social media (SM), an unregulated area, in an emerging country, namely, Kingdom of Saudi Arabia (KSA). The sample of this study is 345 non-financial listed firms on Tadawul stock exchange during 2016-2019. Data are collected from several sources such as annual reports, the official website of the sample companies. Other data are collected manually such as the presence of the CEO and the sampled companies on SM. Our findings show that firm size and leverage level are important firms’ characteristics that drive firms’ sociability on social media. The finding shows that CEO sociability on social media is a key CEOs’ characteristic that drives firms’ sociability on social media. Further analysis reports that there is a complementary effect between CEO’s sociability on social media and firm size in increasing firms’ sociability on SM. The findings also show that there is a complementary effect between CEO’s sociability on social media and firm leverage in increasing firms’ sociability on SM. This study contributes to the disclosure literature by providing empirical evidence of the drivers of firms’ sociability on SM, an unregulated area in KSA. It also complements the considerable literature on voluntary disclosure which ignores the use of SM platforms as a “new” voluntary type of reporting. The present study complements recent literature on the adoption of SM by providing evidence that the sociability of top leaders is a driver of firms’ sociability on SM.

This paper investigates the effects of different factors influencing on the successful implementation of the business process re-engineering (BPR) in Iran. The study selects 386 experts randomly and using some statistical tests examines the effects of four groups of factors including strategic, organizational, methodologic and technological & educational issues on the success of the BPR implementation in Iran. The study designs a questionnaire in Likert scale and distributes it among some experts where Cronbach alpha was calculated as 0.71. The implementation of Pearson correlation ratio has confirmed that technological and educational factors marinated the highest effects (r = 0.523, Sig. = 0.000) followed by strategic (r = 0.505, Sig. = 0.000), organizational (r = 0.352, Sig. = 0.000) and methodologic issues (r = 0.267, Sig. = 0.000). In addition, the implementation of Stepwise regression has confirmed that technological & educational, strategic and methodologic factors influence on BPR in Iran.

In the current era of information technology Big Data has gained significant importance in almost all the industries throughout the world. Big Data is now renowned for having the capability of effective decision making. Now companies around the globe are using Big Data for market analysis, customer analysis, however, the utilization of Big Data is much higher in the financial sector, yet publications on Big Data and finance are limited because of having significant challenges. Even though utilization of Big Data is highest in the financial sector and its importance cannot be ignored, the studies and analysis are inadequate. Considering the importance of Big Data in the financial sector this paper is an attempt to conduct a comprehensive literature review in the field of Big Data and finance. Thus, the study will contribute to the body of knowledge by providing horizons for empirical research in the field of Big Data and finance.