An Innovative Solar Energy and Decision Support System Approach by Using IoT

Global warming affects everyone, and the effects will be more dangerous all over the world in time. Therefore, it is very important to use our world's limited resources and to prefer the renewable resources such as solar energy and wind energy. In this study, the authors consider an elevator system, which includes a solar-powered and conventional one with some new Internet-of-Things (IoT) features. The elevator may be operated by both electric energy and solar energy. Solar energy, as being a renewable energy source, leads to various benefits. Internet-of-Things-enabled elevator has a global system for mobile communications (GSM) module to send messages to pre-specified receivers in case of a power failure. The target performance measures are defined, and the advantages of the solar-powered smart elevator are explained.

The Role of Artificial Intelligence Within the Scope of Digital Transformation in Enterprises

Digital transformation, which is the beginning of a new era, and performed in order to provide a more effective service, has become a compulsory situation for the enterprises that take into account the increasing corporate volumes. However, the processes and technologies used in this transformation may change according to the enterprise volume and needs. At this point, activities that implement artificial intelligence technologies will make significant contributions to digital transformation. Artificial intelligence technologies serve many purposes such as search, reasoning, problem-solving, perception, learning, estimating, analytical thinking, optimization, and planning. The purpose of this chapter is to demonstrate the effects of artificial intelligence techniques on the processes of digital transformation utilized in enterprises by considering the difficulties experienced in the realization of digital transformation. It is expected that the study will provide a perspective for other studies on digital transformation and thus create an awareness.

The Affective Domain of E-Commerce

The purpose of this chapter is to examine customer perceptions in the affective domain that directly or indirectly influence the shopping process and purchasing decision between the online customer and online shopping sites. This chapter investigates the effects of nine different perceptions as perceived benefit, perceived control, perceived customer services, perceived customization, perceived risk, perceived security, perceived self-efficiency, perceived privacy, and perceived value on the trust, satisfaction, and loyalty of online customers. Revealing the effects of these relationships on online customer trust, satisfaction and loyalty is important for online shopping sites to maintain their existence in the long-run, be able to compete with others, and increase their profitability.

FinTech in the Saudi Context

With the constant development in FinTech globally, Saudi Arabia is a late arrival in the FinTech world. However, the FinTech growth pace in Saudi is fast and not slowing down. This fast pace is confusing stakeholders, including bankers. This chapter unpacks how FinTech is developing in Saudi Arabia, considers the challenges and opportunities that FinTech may be facing in Saudi, and discusses how these changes may affect current bankers and how future bankers can be ready to enter the new market. The study draws on interviews with professionals in the banking and FinTech industries and makes two contributions: It suggests that FinTech is affecting retail and long-tail clients of banks (i.e., the effect on core banking operations, such as corporate banking and treasury). Findings also highlight that professionals should upgrade their knowledge around matters necessary to retain their jobs in the sector. The study has implications for future bankers (i.e., university students), suggesting that university curricula should be updated to include relevant knowledge and professional placements.

Connected Employee Platforms

In the modern era, enterprises are facing a variety of difficulties because of today's emerging technologies. One of the numerous difficulties for a business is to fulfill its employees in order to adapt to the constantly changing business processes and to make progress and stay in competition. In order to build proficiency, viability, efficiency, and occupation responsibility of employees, the business must fulfill the requirements of its employee by giving great working conditions. The target of this chapter is to dissect the effect of workplace on employee work fulfillment. This chapter may profit society by urging individuals to contribute more to their occupations and may help them in their daily work life. Consequently, it is fundamental for an association to support their employee to snap down for accomplishing the hierarchical objectives and goals.

Enhancing Calculative Commitment and Customer Loyalty Through Online Relationship Marketing

This study examines the mediating role of online trust in enhancing calculative commitment and customer loyalty through online relationship marketing activities (engagement and interactivity). The study draws on signaling theory. Data were gathered from 429 retail bank customers in Ghana and analyzed using confirmatory factor analysis and structural path modelling. Findings suggest that engagement is assessed to be low by Ghanaian bank customers and presently has no influence on customer commitment, online trust, and customer loyalty. However, signals communicated through interactivity online is of great benefit to the banks in influencing customers' online trust, as well as their calculative commitment and loyalty. Further, though, website and email emerged as the most predominant technologies used in online relationship marketing (ORM), customers also expect banks to engage with them through social media, which has the potential to improve upon the current levels of ORM activities.

The Potential and Capabilities of NoSQL Databases for ERP Systems

Today, nearly all possible business activities or information systems in enterprises such as sales, marketing, accounting, finance, customer relations, and manufacturing are carried out through traditional relational database management systems. However, technological, social, and competitive pressures in enterprises coming together with the rapid change in technology and then the problems arising from traditional databases force enterprises to adopt new database technologies. This chapter aims to highlight the main differences between traditional relational databases and NoSQL databases and to present an overview of the concepts, features, potential, problems, benefits, and limitations of NoSQL databases for enterprise information management systems, for especially enterprise Resource Planning (ERP) systems, which have a significant role in digital transformation of enterprises.

Knowledge Management Within the Context of Organizational Innovation

Knowledge management aims to provide easy access and management of the information resource for the institutions and thus to create value by taking the right decisions. Since knowledge management has a decisive impact on the business performance and innovation process at different stages and requires a different knowledge management concept, enterprises should integrate innovation selection activities into knowledge management processes. Otherwise, businesses may face problems in the management processes of the information resources they have. The purpose of this chapter is to first specify the definition and tasks of knowledge management, then to examine the knowledge management processes and to correctly identify of the problems encountered in these processes to find and to implement effective solutions and to realize effective management of the knowledge management within the scope of organizational innovation. This study is very important for businesses with a large scale of the budget, human resources, corporate memory, and thus, a data source.

Investigation of the Attitudes for Environment and Evaluation of Artificial Neural Networks

This study was conducted to evaluate the attitudes of the students in a secondary school in Aksaray towards the environment according to some variables. The research group of the study was constituted of 426 students who were attending in the 1st, 2nd, 3rd, and 4th grade at a secondary school in the academic year of 2015-2016. The research done by using environmental attitude scale concluded that the secondary students have a positive attitude towards the environment. It was found that there was a meaningful difference according to gender, age group, father profession status, mother profession status. It was also concluded that students did not differ according to mother education level, father education level, grade level, family income level, and number of siblings variables. Similar evaluations were made with artificial neural networks. In this study, it has been shown that artificial neural networks can be used in the studies conducted in the field of education.