Effects of Deep Learning Technologies on Employment in the Field of Digital Communication Systems

There are significant challenges and opportunities facing the economies of the United States in the coming decades of the 21st century that are being driven by elements of technological unemployment. Deep learning systems, an advanced form of machine learning that is often referred to as artificial intelligence, is presently reshaping many aspects of traditional digital communication technology employment, primarily network system administration and network security system design and maintenance. This paper provides an overview of the current state-of-the-art developments associated with deep learning and artificial intelligence and the ongoing revolutions that this technology is having not only on the field of digital communication systems but also related technology fields. This paper will also explore issues and concerns related to past technological unemployment challenges, as well as opportunities that may be present as a result of these ongoing technological upheavals.

Designing a Mobile Chat Application Based on Android Platform

Securing confidential information on mobile platforms has been, is, and will be a topical issue for specialists. In order to eliminate these vulnerabilities, specialized companies have made some patches, but these do not constitute a real guarantee that the same or any other applications will not be attacked and exploited without the users' will. Mitigating these attacks on smartphones can be achieved by securing mobile phones from both users and mobile providers. This article proposes the development of a chat application on the Android platform as a solution to ensure the security of digital data that is transferred through the available communication platforms. When designing this mobile application, the sudden increase in the number of users was taken into account so that the application is stable and creates a pleasant experience for them.

An Empirical Study of User Acceptance Behaviours of Internet Banking in Tunisia Using UTAUT2 Model

The conceptual model proposed was based on the extended unified theory of acceptance and use of technology (UTAUT2). The proposed model was empirically tested using survey data provided by 203 respondents and was analyzed using a structural equation model (SEM). The analysis results indicated that performance expectancy, effort expectancy, social influence, and facilitating conditions show a significant positive impact on the users' behavioural intention to use internet banking services. However, price value, hedonic motivation, and habit do not positively influence the behavioural intention. This study offers Tunisian banks some guidelines to develop strategies and to improve their services in order to increase the adoption of mobile banking by their customers.

Barriers in Digital Transformation

In recent years, companies in almost all the industries have been exploring new ways to use digital technologies to generate value from digital investments. However, many companies are struggling to realize the digital transformation due to various existing barriers. They face many obstacles in the development and implementation of new digital processes. In cases where the companies fail to reflect upon these barriers, digital transformation processes carry the risk of not being realized successfully. Therefore, this study has looked to identify the barriers in digital transformation, in a company in the IT sector in Sweden. The data was collected through semi-structured interviews with the team members involved in digital transformation and from the company's documents, and then thematically analyzed. The findings of this research study are that there are 28 barriers in digital transformation from which 15 are new barriers that could support executives and managers who are planning a digital transformation in their organizations.

The Relevance of Academic Performance in Career Development According to the Big Five Model

A purely theoretical analysis reveals the existence of a direct relationship between academic performance and work performance. It is also expected that individuals who have registered during academic performance will develop a career in their field of academic preparation. A research of the students' academic performance contributes to the identification of the relevant factors of the academic performance with an impact on the work performance. The fundamental idea is that the performance of individuals is determined by their personality, characterized by the big five model. Known to be a positive personality ensures both academic performance and work performance and career success.

Age and Digital Divide

Over the last decades, while we have been witnessing digital transformation with the rise of the internet and other technological innovations, the older population continues to rise all around the world with increasing life expectancy. These important developments pose important health, economic, and social challenges to societies. Even though the diffusion of the internet has rapidly increased worldwide, the digital divide between young and elderly people is still present, particularly in the developing countries. The aim of this study is to explore age-based digital divide in the Turkish population. Although the number of internet users has increased among the older population over time, a prominent digital divide remains between younger and older people in the Turkish population.

Digital Skills and Their Relevance to the COVID-19 Innovative Responses in the European Union

COVID-19 has caused strong restrictions in the activities of companies and people in the European Union. Its effects are not restricted to the public health field, but also include the economic and social dimensions. To face this wide range of challenges, government entities, companies, and civil society have sought to develop innovative solutions to cope with the effects posed by COVID-19. This study aims to explore these innovative initiatives using the observatory of public sector innovation (OPSI) framework and intends to understand the effects of digital skills of citizens and companies in the emergence of these initiatives. The findings reveal that the proposed innovative solutions result essentially from incremental innovation projects and are promoted by government entities at national and local levels. Nevertheless, the relevance of the participation of companies and civil society in these innovative initiatives is also highlighted. Finally, the digital competencies of each EU state member do not appear to influence the countries' capacity to offer innovative solutions.

Service-Level Agreement Negotiation in Cloud Computing Buying Organizations

The cloud archetype is fundamentally dynamic for both service customer and service provider. From the provider's perspective, resources are removed and/or added irregularly and urgently together with updating of service level agreements (SLAs). However, this dynamical behavior makes contracting sophisticated. Yet, there is a lack of knowledge on how to handle these dynamics contractually. To address this knowledge gap, the authors have investigated “how to improve SLA management with dynamic SLA iterations.” For this reason, a model for cloud computing SLA negotiation is proposed to facilitate the buying organization in determining uncertainty by analyzing attributes of asset specificity and risks associated with them. Survey research has been used for testing the model. The respondents rationalized the SLA negotiation with a better cognitive understanding in all phases within the model. The study's findings could support cloud service buying organizations to minimize the risks with ever-changing requirements.

Economic Aspects Related to Investments in Energy-Efficient Houses in the Framework of Bioeconomy

The challenges related to the sustainable use of renewable natural resources and the European Union's attention to the bioeconomy provide Romania with the legislative framework and building and innovation opportunities in the field of construction, with benefits for consumers, society, and the environment. EU-wide regulation focuses on nearly zero energy buildings (NZEB), with a differentiated degree for each member state of the European Union. That is the reason why, in this article, the authors focus on the economic and the technical aspects, on the minimal way in which it is approached in the scientific literature, as it is reflected in the national legislative structure, and as it is present in the applied practice in Romania.

Barriers to AI Adoption in Indian Agriculture

Greater adoption of artificial intelligence (AI) in Indian agriculture can contribute to regional and global food security. An examination of parameters that may prevent and postpone AI transfer, diffusion, and adoption is essential. However, little research on AI adoption barriers in Indian agriculture has been conducted. This paper attends to the gap. In order to recognize, categorize, and prioritize the most critical impediments to AI adoption in Indian agriculture, this paper draws on a participatory research design in which workshops were used as the main research methodology. Seven working groups of local experts identified five categories of constraints, covering 18 explicit adoption barriers. Two constraints in particular were recognized as most critical: lack of trust in technology among farmers and a language barrier compounded by high illiteracy rates and a digital divide. With an initial catalog of constraints, this paper aims to contribute to the actualization of AI in Indian agriculture and thereby to local and global food security.