Redefining Advertising in the Arithmetical Budget: Publishing 3.0
Dibya Jyoti, Kumpatla Sihu*
DOI: 10.1654/zkdx.2023.28.2-4
Pages: 16-20
Abstract
Publishing 3.0 is a publishing strategy that integrates online and physical interactions between businesses and customers. It is an approach which more effectively takes into account the convergence of the offline and on line worlds of businesses and customers. The concept focuses on how, in the times of a digital economy boom, offline touch serves as a major differentiation in an increasingly online world. It also encompasses how style blends with substance, in that even as brands need to adopt flexible and adaptive styles in view of fast-changing technological developments, the brand’s core, authentic character is ever more important. Publishing 3.0 is about balancing machine-to-machine (M2M) with human-to-human (H2H). As connected devices become more commonplace on the back of artificial intelligence and Internet of Things (IoT), resulting in greater publishing productivity, they need to go hand-in-hand with human-to-human connectivity in order to strengthen customer engagement. This study explores the conceptual understanding of Publishing 3.0 and move from publishing 1.0 to publishing 3.0, i.e. traditional to digital publishing.
Keywords: Publishing 3.0, Traditional Publishing, Digital Publishing
Macroeconomic and Firm-Specific Elements of Group Routine: A one-step system GMM dynamic section ideal
Abass Cetradze*, Asep Aprianto
DOI: 10.1654/zkdx.2023.28.2-3
Pages: 8-15
Abstract
The study investigated the macroeconomic and bank-specific determinants of Ethiopian banks’ performance from 2011 to 2020. All the 14 commercial banks that were operational during the study period were included. We employed a one-step system GMM dynamic panel data approach owing to its lower bias and higher efficiency than other approaches such as the standard first-difference GMM estimator. The dynamic character of the model specification has been manifested through significant coefficients of lagged performance indicators. The lag of ROE, credit growth, and interest rate showed a positive and significant effect on bank performance while branch expansion, economic growth, and capital adequacy ratio exhibited a negative and significant impact on the outcome variable. However, three macroeconomic factors: deposit growth, exchange rate, and inflation rate found to be insignificant to influence bank performance. The research concludes bank-specific factors predominantly influence the performance of the Ethiopian banking industry.
Keywords: Bank Presentation, Self-motivated Panel Data, Macroeconomic issues, Bank-specific influences
Collected works Analysis on the Application of Develops in Automatic Learning Systems
Devinder Samrtah*, Esraa Kolkaila
DOI: 10.1654/zkdx.2023.28.2-2
Pages: 4-7
Abstract
The main purpose of this research was to explore recent studies on the application of Develops in E-learning. E-learning has become an essential tool for many people in the current technological environment. The integration of seeks to provide comprehensive technological training and processes for users. The application of Develops in E-learning is common in education, marketing, sales, and other electronic sharing operations. Develops environment combines development and operations to make sure there is a quick efficient and continuous workflow of processes. Building an understanding of Develops best practices is necessary in an E-learning environment. Develops combines cultural philosophies tools and practices to ensure that applications and created faster and therefore assist organizations in evolving and developing quality products. The main aspect of Develops is the high velocity when creating applications and services which is faster than the traditional infrastructure and software development processes. Additionally, the high velocity in Develops helps organizations to compete effectively in the market and serve their end users well.
Keywords: Develops, e-learning, Micro learning, Revolutionizing
Machine Scientific Reverse Engineering in Quark
Anas Jamwal*
DOI: 10.1654/zkdx.2023.28.2-1
Pages: 1-3
Abstract
Android forensic reverse engineering is the process of analyzing the internal structure of Android applications and the underlying operating system to extract useful information and detect potential security threats. This involves disassembling the binary code of an Android app, identifying its components and functionalities, and uncovering any hidden or malicious activities. Forensic reverse engineering can be used to investigate a variety of security incidents, including data breaches, malware attacks, and intellectual property theft. It can help identify thesource of a security breach, determine the scope of the damage, and provide insights intothe methods and tools used by attackers .Some of the key techniques used in Android forensic reverse engineering include dynamic analysis, static analysis, and reverse engineering tools such as disassemblesand decompilers. These tools can help extract information from an Android app such as its file system, network traffic, and memory usage. Overall, Android forensic reverse engineering is an important field for enhancing the security of Android-based devices and applications, and for detecting and mitigating potential threats.In the era of smartphones, Android has become one of the most popular mobile operating systems, powering millions of devices worldwide. With the rise of mobile devices, the need for mobile security has become increasingly important. In this context, Android forensic and reverse engineering are important techniques to identify potential security risks in Android applications. Quark is a powerful tool that can be used to analyze the behavior of Android applications and identify potential vulnerabilities. This includes decompiling APK files, monitoring network traffic, and extracting data from Android devices. By using Quark in combination with other forensic tools and techniques, investigators can gain a comprehensive understanding of the behavior of Android applications and identify potential security risks. In this article, we will explore the various aspects of Android forensic and reverse engineering in the context of cyber security, with a focus on using Quark to analyze and extract data from Android devices.
Keywords: Cyber security, Quark, Android forensic