Mobile Industry Research Articles

Trade Specialization Dynamics in a Small Open Resource-Based Developing Economy: Empirical Evidence from Botswana

ABSTRACT We analyze trade specialization dynamics in Botswana, applying the Galtonian regression and Markov matrix on the Lafay index for the period of 1998 to 2019. Galtonian regressions reveal de-specialization – Botswana gained a comparative advantage in industries for which it was initially not specialized and became less competitive in industries for which it was initially specialized. The industry hierarchy was altered only slightly due to persistence in trade specialization patterns. The Markov matrix reveals stronger upward industry mobility than downward industry mobility. De-specialization suggests slow-paced economic diversification, induced by import substitution in de-specialized industries, rather than by an expanding export base.

Mobile Device Forensics Framework: A Toolbox to Support and Enhance This Process

Cybercrime is growing rapidly, and it is increasingly important to use advanced tools to combat it and support investigations. One of the battlefronts is the forensic investigation of mobile devices to analyze their misuse and recover information. Mobile devices present numerous challenges, including a rapidly changing environment, increasing diversity, and integration with the cloud/IoT. Therefore, it is essential to have a secure and reliable toolbox that allows an investigator to thwart, discover, and solve all problems related to mobile forensics while deciphering investigations, whether criminal, civil, corporate, or other. In this work, we propose an original and innovative instantiation of a structure in a forensic toolbox for mobile devices, corresponding to a set of different applications, methods, and best practice information aimed at improving and perfecting the investigative process of a digital investigator. To ensure scientific support for the construction of the toolbox, the Design Science Research (DSR) methodology was applied, which seeks to create new and unique artifacts, drawing on the strength and knowledge of science and context. The toolbox will help the forensic investigator overcome some of the challenges related to mobile devices, namely the lack of guidance, documentation, knowledge, and the ability to keep up with the fast-paced environment that characterizes the mobile industry and market. Doi: 10.28991/ESJ-2024-08-03-011 Full Text: PDF

Design of a Mobile Industrial Robot Platform based on Fixed Cameras

This study presents a design for an autonomous mobile robot system that utilizes environmental cameras for navigation and obstacle avoidance. Operating within a known environment, the robot employs these cameras to facilitate path planning and to circumvent obstacles. The hardware setup includes fixed cameras strategically placed in the environment to pinpoint the robot’s location and to identify obstacles amidst varying conditions. A computer system is essential for processing the data captured by the cameras, and a wireless transmission system communicates operational instructions to the robot.For navigation, the study explores various algorithms for path planning, selecting the most efficient one through comparative analysis. Once the path is established, the robot’s instructions are computed under the designed control rate, employing the vehicle’s PD control method. This method is informed by the external camera’s simulation of the vehicle, ensuring accurate and responsive navigation.The project’s goal is to create a mobile robot platform that leverages an external camera as its primary sensor. This design promises efficient autonomous navigation and the capability to avoid static obstacles. The robot’s design is conceptualized using SolidWorks and brought to life through implementation in the Python and MATLAB programming languages, demonstrating the system’s practicality and adaptability in real-world scenarios. Additionally, the system’s design considers ease of integration and scalability to accommodate future technological advancements and new application requirements.

Enhancing ToF Sensor Precision Using 3D Models and Simulation for Vision Inspection in Industrial Mobile Robots

Enhancing ToF Sensor Precision Using 3D Models and Simulation for Vision Inspection in Industrial Mobile Robots

CEO industry tournament, investor attention, and company value

AbstractBased on the emerging capital market of China, this paper uses the data of Chinese listed companies to test the market value management behavior of CEOs under the incentive of industry tournaments. The empirical results show that the CEOs industry tournament improves the value of listed companies by attracting investor attention. In the test of the incentive mechanism of the industry tournament, we find that in the samples with lower industry mobility and state ownership and where the CEO is new, retiring, or a founder, the industry pay gap has a weaker incentive effect on the CEO. In the test of the CEOs' efforts to manage investor attention, this paper finds that CEOs are incentivized to disclose more financial and nonfinancial information, increase advertising spending, and hold more shareholder meetings. Discussed with other incentives, compensation incentives and equity incentives enhance the motivational role of industry championships for CEOs. This study explores in depth the possible impact of industry tournaments on CEO behavioral decisions and also provides a new perspective for corporate to manage investor attention. This provides important reference value for corporate CEO compensation, information disclosure supervision, and investor decision‐making.

Evaluation of the urban industrial coupling strategy based on the global production networks theory: A case study of the smart phone industry in the Guangdong-Hong Kong-Macao Greater Bay Area.

In the context of uncertain economic environments urban agglomerations play a crucial role in economic development, reshaping industrial chains and fostering inter-city cooperation. This study employs the Global Production Network (GPN) theory to enhance our understanding of how cities integrate into regions, emphasizing the often-overlooked governmental influence in strategic coupling processes. In examining the evolution of China's smartphone industry within the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) this research categorizes 19,599 smartphone companies into five distinct groups. Through analyzing their spatial distribution and geographical linkage the study identifies four strategic coupling modes based on the localization of assets, considering spatial influence and technological complexity along horizontal and vertical dimensions. Structural and institutional elements within these modes are also explored. The research uncovers unique integration patterns among nine cities in the GBA's mobile industry, revealing distinct spatial clusters rooted in technological, resource and innovation factors. Crucially, local policies play a pivotal role. Cities such as Shenzhen and Dongguan emerge as technology hubs, contrasting with Foshan and Zhongshan, which leverage resource advantages. The spatial impact, contingent on specific assets, underscores the necessity for nuanced top-down coupling methods in regional development. Moreover, the study emphasizes the significance of nurturing innovation links, not only between leading companies but also among midstream and downstream enterprises, enhancing cities' strategic coupling capabilities.

A Critical Analysis of Quadratic Boost Based High-Gain Converters for Electric Vehicle Applications: A Review.

Conventional DC-DC boost converters have played a vital role in electric vehicle (EVs) powertrains by enabling the necessary voltage to increase to meet the needs of electric motors. However, recent developments in high-gain converters have introduced new possibilities with enhanced voltage amplification capabilities and efficiency. This study discusses and evaluates the state-of-the-art high-gain DC-DC converters for EV applications based on the Quadratic Boost Converter (QBC). Research into innovative topologies has increased in response to the increasing demand for efficient and high-performance power electronic converters in the rapidly expanding EV industry. Due to its ability to provide more significant voltage gains than conventional boost converters, the QBC has become a viable option for meeting the unique requirements of EV power systems. This survey focuses on the efficiency, power density, and overall performance parameters of QBC-based high-gain converters. The literature review provides a foundation for comprehending power electronics converters' trends, challenges, and opportunities. The acquired knowledge can enhance the design and optimization of high-gain converters based on the QBC, thereby fostering more sustainable and efficient power systems for the expanding electric mobility industry. In the future, the report suggests that investigating new high-gain converter design methodologies will reduce component stress and enhance the intact system efficiency.

Study on Bearing Strength and Failure Modes of Single Bolted Joint Carbon/Epoxy Composite Materials.

The growth of the Urban Air Mobility (UAM) industry emphasizes the need for considerable study into assembly procedures and dependability to guarantee its effective integration into air transport networks. In this context, this study seeks to evaluate the mechanical characteristics of bolted joint Carbon Fiber Reinforced Plastic (CFRP), with a particular emphasis on bearing strength. By altering the w/D (specimen width to hole diameter) and e/D (distance between hole center and specimen end to hole diameter) ratios, the study investigates how edge and end distances affect material performance. The study discovered a shift from tension to bearing failure at w/D ratios of 4.0, with maximum bearing strength decreases of 90.50% and 69.96% compared to full bearing failure. Similarly, for e/D ratios of 1.5, 2.0, and 3.0, transitioning from shear to bearing failure at 2.0 resulted in maximum bearing strength losses of 94.90% and 75.96%, respectively. Maintaining a w/D ratio of at least 6.0 and an e/D ratio of at least 3.0 is critical for maintaining maximum performance and stability in CFRP structure design.

Acoustic measurements of full-scale electric vertical takeoff and landing aircraft

The Advanced Air Mobility industry is progressing rapidly towards the goal of revolutionizing transportation by connecting urban and underserved communities with electric vertical takeoff and landing (eVTOL) aircraft. To achieve widespread use, eVTOL aircraft must generate acceptable noise in surrounding communities. Many eVTOL aircraft currently under development have novel configurations of rotors, propellers, and wings that may produce rotor-rotor and rotor-airframe interaction noise at certain flight conditions. Acoustic measurements of full-scale eVTOL aircraft are critical to understand the complex noise-generation mechanisms and to validate aeroacoustic models for these novel aircraft designs. In this presentation, we present acoustic measurements of Hexa, an 18-rotor, single-passenger eVTOL aircraft developed by LIFT Aircraft, Inc. We apply acoustic source characterization techniques using simultaneous acoustic measurements and vehicle telemetry data to provide a better understanding of the noise-generation mechanisms. One such analysis technique is the Vold-Kalman filter, which we apply to auralize the tonal waveforms of individual rotors. Finally, we discuss plans for upcoming acoustic measurements of a full-scale, multi-passenger eVTOL aircraft. These measurements and analyses provide the data and tools required to better understand the noise-generation mechanisms and to validate aeroacoustic models for full-scale eVTOL aircraft

Enhancement of Fatigue Life of Polylactic Acid Components through Post-Printing Heat Treatment

To reduce the carbon footprint of manufacturing processes, it is necessary to reduce the number of stages in the development process. To this end, integrating additive manufacturing processes with three-dimensional (3D) printing makes it possible to eliminate the need to use tooling for component manufacturing. Furthermore, using 3D printing allows the generation of complex models to optimize different components, reducing the development time and realizing lightweight structures that can be applied in different industries, such as the mobility industry. Printing process parameters have been studied to improve the mechanical properties of printed items. In this regard, although the failure of most structural components occurs under dynamic load, the majority of the evaluations are quasistatic. This work highlights an improvement in fatigue strength under dynamic loads in 3D-printed components through heat treatment. The fatigue resistance was improved regarding the number of cycles and the dispersion of results. This allows 3D-printed polylactic acid components to be structurally used, and increasing their reliability allows their evolution from a prototype to a functional component.

Political connections and firm performance: evidence from the mobile industry in Indonesia

Political connections and firm performance: evidence from the mobile industry in Indonesia

Political connections and firm’s performance: evidence from mobile industry in Indonesia

Political connections and firm’s performance: evidence from mobile industry in Indonesia

The Dallas Story: The North American Aviation Plant and Industrial Mobilization During World War II by Terrance Furgerson (review)

The Dallas Story: The North American Aviation Plant and Industrial Mobilization During World War II by Terrance Furgerson (review)

Cyber Physical Systems: A Brief Survey and an Application of a MIR (Mobile Industrial Robot) for Inspection

This work refers to the realization of a Cyber Physical System (CPS), i.e. modeling, analysis, and integration of a MIR (Mobile Industrial Robot) platform with an industrial robot, in order to test its operating conditions. MIRs, although usually employed in industrial environment, can be used in sectors such as inspection, assistance, defense, production, remote exploration as well as search and rescue. In addition of being programmable, thanks to the provision of sensors and navigation systems, they can adapt in real time to various environmental contexts and purposes of use. The objective of the paper is to create a CPS of a MIR that can basically perform two fundamental actions. The first one is to carry out movements in predominantly external environments and therefore with various types of terrain. The second fundamental action is the pick and place operations, i.e. the robot must be able to carry out the manipulation of objects.

Intelligent Stock Price Fusion in Mobile Industries

In the tough cell phone business, guessing phone­ prices right is a key but hard job for new companies. Joining different types of info to look at stock prices may help, but we need strong ways to see how phone things and their costs tie together. This study wants to make stock price checking better in the cell phone busine­ss by using ways to join info. The work looks for strong ties between many phone things like memory, camera details, and screen size and how they affect the price. To fix this, very careful work was done to clean and fix the info. The Quadratic Discriminant Analysis rule­ was then used, along with top classifiers, for saying what will happen. Our findings demonstrate the QDA model's ability to detect subtle patterns and nonlinear correlations in the mobile phone data set. The model's resilience and predictive ability are demonstrated through visualizations such as ROC AUC and Precision-Recall curves. Comparative analyses with current approaches highlight the higher performance of the suggested data fusion approach. The use of QDA in data fusion models demonstrates its versatility in capturing complicated interactions, resulting in nuanced insights into mobile phone price factors. This study adds an improved prediction framework for mobile phone price analysis, which is critical for new enterprises looking to gain a competitive advantage in the volatile mobile industry.

Impact of work life balance on employee performance with reference to auto mobile industry in around Chennai

Impact of work life balance on employee performance with reference to auto mobile industry in around Chennai

Typological analysis of mobile housing technology in the context of the problem of energy saving

The practice of using structural and functional features of mobile housing technologies is primarily related to migration processes: labour, tourist-recreational, educational, as well as forced ones (caused by militarypolitical and natural-technogenic disasters). In many leading and economically developed countries there is considerable experience in the implementation of landand water-based mobile housing technologies in the creation of socially affordable housing (including as part of an alternative approach to solving overpopulation problems). In modern conditions, new design methods based on the requirements of environmental friendliness and conservation of natural resources are introduced into architectural and construction activities all over the world. In the Ukrainian state, in connection with the existing political and economic situation, the practical development of mobile housing technologies is of particular social significance, taking into account the level of providing the population with housing of various types and quality. The application of mobile housing technologies can be, in particular, a temporary solution to the housing problem, thanks to certain advantages in terms of environmental friendliness and energy saving, in comparison with capital residential buildings. The use of mobile homes in Ukraine today is characterized by limited functional and typological composition. The development of the production of industrial mobile housing technologies has the prospect of their practical application in a wide operational spectrum.

A Study on Familiarity Bias in Investor Decision-Making

Abstract: For a considerable amount of time, conventional finance theories have maintained that investors make judgments based on logical analyses and economic models. But the development of behavioral finance casts doubt on this notion, showing that emotions, cognitive biases, and natural tendencies frequently influence human decision-making. This study looks into familiarity bias, a psychological component that affects investor decisions, and how common it is. Using a thorough methodology, the study examines investor choices in the banking, FMCG, and auto mobile industries. Results repeatedly point to a considerable preference for well-known businesses, even in situations when risks and returns on investment are similar. Investors exhibit behavioral biases and brand loyalty; familiarity bias is particularly persistent across various investor profiles. The findings show that investors, irrespective of expertise level, devote a sizeable chunk of their capital to reputable businesses. The results of hypothesis testing show relationships between gender and familiarity bias as well as between different investor types according to holding length and risk. However, monthly income did not show a significant correlation with familiarity bias, indicating that it is prevalent at different income levels. The study comes to the conclusion that a thorough understanding of investor decision-making requires an awareness of behavioral biases.

Navigating Brand Loyalty: The Dynamic Interplay of Engagement, Attachment, and Usage Patterns

Mobile electronic devices’ demand is greater than any other electronic device currently. This study aims to find the mechanism that creates Brand Loyalty through Brand Engagement in the context of the mobile industry, where market saturation makes it very difficult for organizations to gain it. This study determines the effectiveness of psychological drivers including Brand Awareness; Brand Image; Brand Psychological Ownership; and Value Congruity in developing Customer Brand Engagement, as well as to investigate the effect of Customer Brand Engagement on Behavioral Brand Loyalty through the mediating influence of Brand Awareness. The study also investigated the moderating role of Brand Usage Duration and the role of Usage Frequency between Brand Awareness and Behavioral Brand Loyalty. Customers' data was collected using an existing established questionnaire through convenience sampling, the public intercept sampling approach was used. The data was acquired from 384 respondents. The structure equation model method was used to analyze the data. This study demonstrated the effectiveness of consumer psychological motives in establishing Customer Brand Engagement that further leads to Customer Loyalty and reflects which element is more powerful. Further research indicates the impact of Brand Usage Duration on Customer Brand Engagement and Behavioral Brand Loyalty. All variables were proved to have a positive and significant effect except Usage Frequency. This research will assist Brand managers in determining which aspects are more influential in the growth of Customer Brand Engagement that further leads to Brand Loyalty. Study limitations and future directions have been provided at the end of the study.

Antecedents of consumers' brand switching behavior in mobile service provider

PurposeSwitching behavior is predominantly seen in the consumer buying behavior of the mobile industry. This research aims to identify the factors influencing consumers to switch from their present mobile service provider. The consumer of the mobile industry operates in a dynamic and ever-changing environment that is difficult to predict, so this paper aims to focus on these issues.Design/methodology/approachThe selection of factors was made with the help of qualitative study and quantitative research methods for further findings; with the help of a structured questionnaire, a total of 514 valuable responses were collected to get the results. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the data.FindingsThe finding shows that technology and edge-on-competition (TEC) and pricing have a negative influence on customer switching behavior. The switching cost (SC) is the most significant factor and has a positive impact, while service encounter failure (SEF) also positively impacts switching behavior.Research limitations/implicationsThe findings provide important implications for consumers switching brands if they are finding alternative offers that are cost-effective and SEF from service providersPractical implicationsThe study of one of the largest mobile markets is learning lessons for other markets around the world. This study will be helpful for mobile service provider companies in their branding and marketing strategies. This study will also be helpful to practitioners, educators and researchers in understanding the consumer behavior of mobile users.Social implicationsThe learning of the largest mobile market will be a great learning lesson for other mobile markets around the world. Consumer behavior will help marketers follow ethical practices and make their strategy so a consumer does not switch brands and remain satisfied with the existing brand.Originality/valueThe study provides unique learning for practitioners, educators and researchers to understand the consumer behavior of mobile users. This will help marketers create factors that stop consumers from switching brands and develop strategies to retain customers.