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The Internet of Things (IoT) is gaining popularity and market share, driven by its ability to connect devices and systems that were previously siloed, enabling new applications and services in a cost-efficient manner. Thus, the IoT fuels societal transformation and enables groundbreaking innovations like autonomous transport, robotic assistance, and remote healthcare solutions. However, when considering the Internet of Remote Things (IoRT), which refers to the expansion of IoT in remote and geographically isolated areas where neither terrestrial nor cellular networks are available, internet connectivity becomes a challenging issue. Non-Terrestrial Networks (NTNs) are increasingly gaining popularity as a solution to provide connectivity in remote areas due to the growing integration of satellites and Unmanned Aerial Vehicles (UAVs) with cellular networks. In this survey, we provide the technological framework for NTNs and Remote IoT, followed by a classification of the most recent scientific research on NTN-based IoRT systems. Therefore, we provide a comprehensive overview of the current state of research in IoRT and identify emerging research areas with high potential. In conclusion, we present and discuss 3GPP's roadmap for NTN standardization, which aims to establish an energy-efficient IoRT environment in the 6G era. [ABSTRACT FROM AUTHOR]

Taiwan has gradually increased its electric vehicle (EV) market share over the past few years. The increasing availability of affordable EV models has also contributed to the rising market share of EVs in Taiwan. This study provides a system dynamics model for evaluating the impact of various factors on the electric vehicle market share in Taiwan. The model incorporates key variables such as consumer preferences, financial acceptability, charging infrastructure and accessibility, EV performance, and customer acceptance to simulate the dynamic behavior of the EV market. Moreover, the model utilizes historical data and the government's target plan to calibrate and validate a model that accurately captures the current state of Taiwan's electric vehicle (EV) market share. Results indicate that charging stations and financial issues impact EV adoption significantly. Overall, this study demonstrates the usefulness of system dynamics modeling in evaluating policy interventions and identifying critical drivers for promoting the transition to a greener transportation system. [ABSTRACT FROM AUTHOR]

Background: An estimated 50% of suspected malaria cases in sub-Saharan Africa first seek care in the private sector, especially in private medicine retail outlets. Quality of care in these outlets is generally unknown but considered poor with many patients not receiving a confirmatory diagnosis or the recommended first-line artemisinin-based combination therapy (ACT). In 2010, a subsidy pilot scheme, the Affordable Medicines Facility malaria, was introduced to crowd out the use of monotherapies in favour of WHO-pre-qualified artemisinin-based combinations (WHO-PQ-ACTs) in the private health sector. The scheme improved the availability, market share, and cost of WHO-PQ-ACTs in countries like Nigeria and Uganda, but in 2018, the subsidies were halted in Nigeria and significantly reduced in Uganda. This paper presents findings from six retail audit surveys conducted from 2014 to 2021 in Nigeria and Uganda to assess whether the impact of subsidies on the price, availability, and market share of artemisinin-based combinations has been sustained after the subsidies were reduced or discontinued. Methods: Six independent retail audits were conducted in private medicine retail outlets, including pharmacies, drug shops, and clinics in Nigeria (2016, 2018, 2021), and Uganda (2014, 2019, 2020) to assess the availability, price, and market share of anti-malarials, including WHO-PQ-ACTs and non-WHO-PQ-ACTs, and malaria rapid diagnostic tests (RDTs). Results: Between 2016 and 2021, there was a 57% decrease in WHO-PQ-ACT availability in Nigeria and a 9% decrease in Uganda. During the same period, non-WHO-PQ-ACT availability increased in Nigeria by 41% and by 34% in Uganda. The price of WHO-PQ-ACTs increased by 42% in Nigeria to $0.68 and increased in Uganda by 24% to $0.95. The price of non-WHO-PQ-ACTs decreased in Nigeria by 26% to $1.08 and decreased in Uganda by 64% to $1.23. There was a 76% decrease in the market share of WHO-PQ-ACTs in Nigeria and a 17% decrease in Uganda. Malaria RDT availability remained low throughout. Conclusion: With the reduction or termination of subsidies for WHO-PQ-ACTs in Uganda and Nigeria, retail prices have increased, and retail prices of non-WHO-PQ-ACTs decreased, likely contributing to a shift of higher availability and increased use of non-WHO-PQ-ACTs. [ABSTRACT FROM AUTHOR]

In this research, the brand equity pattern to increase market share is done. The research method is applied in terms of purpose and Discovery and explanation in terms of approach. Due to the fact that the present study is of mixed, Discovery and explanation type, the mixed method was used in two phases, qualitative and quantitative. In the first phase, using inductive approach and using qualitative form through content analysis and implementation of grounded theory, the foundation identified 8 dimensions and 24 components affecting the brand equity model in order to increase market share in the form of Causal conditions, central conditions, contextual conditions, intervening conditions, strategies and consequences. Then, in the second phase, the dimensions and components were quantitatively confirmed and finally the conceptual model developed in the qualitative phase was approved. The required information in the qualitative phase was collected through interviews with 12 branding and economic experts, the number of whom was determined by targeted snowball sampling. Also, in the quantitative part, the required data were collected by distributing a researcher-made questionnaire among 65 consumers (customers) of Kish commercial centers, which was determined according to Cochran. In this research, to design and implement the explained model, the structural equation modeling technique with SmartPLS software was used to test the qualitative model. The findings of the research showed that marketing strategies and management factors have a significant effect on the brand equity; The brand equity also has a significant effect on the competitive advantage; Also, external factors, competitive intelligence and environmental capabilities have a significant effect on competitive advantage. Competitive advantage has a significant effect on increasing market share. Therefore, the results showed that increasing the market share is a complex process and is strongly influenced by the brand equity, which is itself affected by marketing strategies and management factors. [ABSTRACT FROM AUTHOR]

We examine the fragmentation of trading around the ex‐dividend date. We argue that the taker‐maker and dark trading venues provide potential dividend capture traders a more favorable platform than the maker‐taker venue(s) given the price improvement, lower queues, and lower net transaction costs. Our evidence indicates that taker‐maker (dark) venue market share decreases (increases) on cum‐dividend days but reverts to normal levels on the ex‐dividend day. Additionally, we find fragmented trading impacts the ex‐dividend price change and improves price efficiency. Finally, we find evidence that retail trades are associated with potential dividend‐capture trading. [ABSTRACT FROM AUTHOR]

Share of national food products in retail is a frequent subject of policy debates. Local food is often associated with national security, sustainability, and support of local economy, contributing to value-added production, employment, rural development, and preservation of local food culture. Despite its importance, relevant academic literature about the proportion of national food in retail is basically non-existent. This paper presents a unique study that fills this gap and gives an account of the proportion of the main national food products in the Hungarian retail sector. The study presents a comprehensive picture of the food supply situation of the 10 largest retail chains in Hungary in the second half of 2020 for 16 key product categories (representing 67% of total food sales in value in the country), based on the experience of research that covered the physical examination of nearly 40 thousand individual food products. The study found that 70.85% of the analysed food products were supplied by domestic companies. Proportion of national products was higher for fresh food (meat, milk, perishable meat and milk products, eggs, fruits, and vegetables) and honey, while imports were dominant in higher value-added categories. Domestic chains had 15.37% points more local products in stock than international ones. The exact results can be used for benchmarking between companies and sectors, indicating comparative advantages and disadvantages, and provide solid basis for economic development plans. [ABSTRACT FROM AUTHOR]

Unemployment prediction is an important topic in economics and finance. The stock market is considered as one of the key indicators of economic performance. Therefore, using stock market data to predict unemployment is an interesting and valuable research area. In this paper, a neural network-based approach has been proposed for unemployment prediction using stock market data. Specifically, it uses a Recurrent Neural Network (RNN) architecture to model the time-series relationship between stock market data and unemployment rate. Moreover, S&P 500 index, the NASDAQ index, and the Dow Jones Industrial Average (DJIA) index are used as predictors for unemployment rate. The proposed model was trained and tested on historical data from 1990 to 2020. The experimental results showed that the proposed RNN model achieved an accuracy rate of 96.24% which outperformed the baseline model that used a simple linear regression algorithm. This result suggests that proposed RNN-based models provide accurate predictions of unemployment rates. Predicting unemployment rates accurately can help policymakers make informed decisions on economic policies and programs. Additionally, investors can use this prediction model to make informed decisions about their investment strategies in the stock market. [ABSTRACT FROM AUTHOR]

Unfair business competition in the business world is not uncommon even though there has been a law on the prohibition of monopolistic practices and unfair business competition, namely Law Number 5 of 1999. Basically, in carrying out business activities, it is natural for business actors to compete with other business actors, but must comply with legal signs governing such competition. Along with the increasingly complex development of the business world and the ever older anti-monopoly and unfair business competition laws, unfair business competition practices are also developing. On this occasion, unfair business competition practices will be discussed by bankrupting competing business actors. The study in this paper uses the normative juridical research method which prioritizes literature studies through the applicable laws and regulations in Indonesia as well as several related book references and uses an analytical descriptive approach. Based on the studies carried out, along with the results of his research, competition for market share control for business actors is a very strategic matter as a result of which business actors often use unhealthy methods as stipulated in the anti-monopoly and unfair business competition law. Unfair business competition in the perspective of bankruptcy law as mentioned above can occur due to weaknesses in regulatory patterns regarding bankruptcy requirements as stated in Article 2 paragraph (1) UUK & PKPU. [ABSTRACT FROM AUTHOR]

This article explores the impact of experiential marketing on customer loyalty in the fast fashion industry, specifically focusing on Uniqlo. The study found that sense and relate directly have a positive effect on customer loyalty, while feel, think, and act do not directly impact loyalty. Sense and relate partially affect loyalty, mediated by job satisfaction, while feel, think, and act have no effect on loyalty and are fully mediated by customer satisfaction. The research provides insights into factors that influence customer loyalty and can guide marketers and managers in designing strategies to increase loyalty through targeted experiential marketing efforts. The document presents discriminant validity results, reliability test results, and a structural model evaluation of the study. The results suggest that sense and relating have a positive effect on customer loyalty, while feelings, thinking, and acting do not directly affect loyalty. The influence of sense and feelings on loyalty is mediated by customer satisfaction. The research findings indicate that sense, feel, think, act, and relate all have varying effects on customer loyalty, with sense and relate having direct influences and the others having indirect effects through customer satisfaction. The implications of the research suggest that companies should focus on enhancing customer experiences, fostering emotional connections, and maintaining customer satisfaction to effectively increase loyalty. [Extracted from the article]

Why was the work done: Floor malting maintains a small but notable market share due to its reputed contributions to beer flavour. These malts are viewed as premium products and are produced in both historic and contemporary floor maltings. Despite this, little work has been performed on floor malting to evaluate its effect on malt and subsequent beer quality and flavour. Accordingly, this work investigated whether floor malting produces distinct malts and beers relative to pneumatic maltings. How was the work done: A mini-floor malting protocol was developed to malt small quantities of grain in a repeatable system that produces malt comparable to the production scale. Two winter barley varieties (Lontra and Thunder) were used to understand whether there was a malting type by variety interaction effect on beer flavour. What are the main findings: Both floor and pneumatic malts produced similar malts and beers based on quality metrics and the differences found between malts were more attributable to variety and the respective rate of proteolysis. Sensory results showed that there was a significant malting type by variety interaction driving hedonic and descriptive sensory results. Why is the work important: These results suggest that while the different malting types produce analytically similar malt, selection of barley variety can be used to optimise the floor malting process to produce distinct beer flavour profiles. [ABSTRACT FROM AUTHOR]

Marketing through digital platforms is becoming an increasingly important component for the success of any company. On the other hand, digital marketing is constantly evolving. B2B marketing refers to the formation of a collaborative business partnership between two firms for the purpose of exchanging products and services. It enables businesses to engage in the sale of products or services to other firms or organizations, who then resell them, utilize them in their own products or services, or provide assistance in their operations. B2B marketers are looking forward to advances in digital technology and greater emphasis on digital products to improve brand visibility, online presence, and technical capabilities. Trending technologies such as artificial intelligence, virtual reality, augmented reality, and the metaverse are of great importance for digital and B2B marketing. The main purpose of the study is to emphasize the development of digital marketing and digital technologies in B2B marketing. In this study, B2B marketing, digital marketing tactics, growth of digital marketing, market share of search engines, marketing automation technologies, and digital marketing and digital technologies used for B2B marketing were examined. Additionally, in the study, a SWOT analysis was conducted for the B2B marketing strategies used by businesses. [ABSTRACT FROM AUTHOR]

High-tech products, which have a dominant share in global markets, have significant value both for the countries that sell them and for the countries that buy them. The competitive advantage of the exporter countries in these products arouses a research curiosity. Moreover, since these countries are mostly in the developed markets group, the extent to which high-tech exports are realized efficiently draws attention as a second research question. In addition to all these, the relationship between export efficiency and global competitiveness in related products constitutes the third and final research question. In this study, the aforementioned three research questions are answered using three different methods and answers are presented for countries that want to export high-tech products. It has been observed that exporting effectively makes a significant difference on the global competitiveness of high-tech products. Countries should channel their economic power to high-tech export, and that the country's wealth should be used efficiently in the financing of foreign trade. [ABSTRACT FROM AUTHOR]

Tourism is not only the largest sector in the world economy, but also one of the fastest growing emerging industries in the world. Unlike other economic sectors that transport products to consumers, tourism enables people to migrate to places where tourism resources are concentrated. These resources are consumed somewhere. With the development of social economy, tourism has increasingly shown its important position in the national economy. After years of development, Kazakhstan's tourism industry has made significant contributions to the national economic development. At the same time, the industry has also accumulated many problems and contradictions in the long-term development process. From a macro level, the development situation of Kazakhstan's tourism industry is good, with total tourism revenue and tourist numbers rising rapidly. From a micro level, tourism enterprises are small in scale, have poor operations, and have low overall competitiveness. From the industrial level analysis, the main problems and contradictions of Kazakhstan's tourism industry are related to its market structure characteristics. Structural issues are core issues in the development of tourism in Kazakhstan. Using structural ideas and methods to study the tourism industry in Kazakhstan can guide the sustainable development of the tourism industry and provide a basis for decision-making by the government. Based on the literature review of the tourism market structure, the authors analyze the optimization path based on the Kazakhstan tourism market structure and effectively promotes the tourism industry. [ABSTRACT FROM AUTHOR]

CCTV surveillance systems are ubiquitous IoT appliances. Their forensic examination has proven critical for investigating crimes. DAHUA Technology is a well‐known manufacturer of such products. Despite its global market share, research regarding digital forensics of DAHUA Technology CCTV systems is scarce and currently limited to extracting their video footage, overlooking the potential presence of valuable artifacts within their log records. These pieces of evidence remain unexploited by major commercial forensic software, yet they can hide vital information for an investigation. For instance, these log records document user actions, such as formatting the CCTV system's hard drive or disabling camera recording. This information can assist in attributing nefarious actions to specific users and hence can be invaluable for understanding the sequence of events related to incidents. Therefore, in this paper, several DAHUA Technology CCTV systems are thoroughly analyzed for these unexplored pieces of evidence, and their forensic value is presented. [ABSTRACT FROM AUTHOR]