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Accurate evaluation of the consequences of new technologies in various industries is of great significance. So, it will be essential to examine the impact of this technology on the banking industry, representing how to create, deliver and gain value in this industry. This study aims to investigate whether blockchain can affect the business intelligence efficiency of banks. This study also aims to examine the impact of security, fraud reduction and privacy of blockchain, equal and anonymous access to the blockchain, decentralization and sustainability of blockchain, accountability and transparency of blockchain, quality, speed and efficiency of blockchain on business intelligence efficiency.

Technological changes are creating new challenges and opportunities for various industries. The inability of organizations to adapt to these changes may even lead to their deletion from the market. Blockchain is one of the most critical technologies in recent years. One of the sectors that will undergo significant changes in blockchain technology is the banking industry. According to the reviewed literature in this study, a comprehensive model has been proposed to examine the impact of security, fraud reduction and privacy of blockchain, equal and anonymous access to the blockchain, the decentralization and sustainability of blockchain, accountability and transparency of blockchain and quality, speed and efficiency of blockchain on business intelligence efficiency. A survey method was used to collect data from banks of the Nanjing city. The partial least square technique was used for data analysis.

The results showed that the fit of the proposed model was very good. Also, all assumptions except one were confirmed. It means that security, fraud reduction and privacy of blockchain factor have a remarkable and positive impact on all aspects of business intelligence efficiency, namely information technology, employees, competitors and customers. Also, equal and anonymous access to the blockchain factor has a positive and significant effect on all aspects of business intelligence efficiency. The decentralization and sustainability of blockchain factors have an impact on business intelligence efficiency. Also, blockchain's accountability and transparency as a fourth factor have a positive and significant impact on all aspects of business intelligence efficiency. Finally, the last factor (quality, speed and efficiency of blockchain) has a positive and significant effect on information technology, employees and customers' dimensions. But, it does not affect the competitors' dimension, and this hypothesis has not been confirmed.

This paper offers valuable insight for business intelligence practitioners into how blockchain technology has the potential to disrupt existing business intelligence provisions.

This paper is one of the first studies to examine the impact of blockchain on IT dimension, organizational employees' dimension, customer dimension and competitors' dimension. It lays a firm foundation for future research.

Failure mode and effects analysis (FMEA) is a preventive technique in reliability management field. The successful implementation of FMEA technique can avoid or reduce the probability of system failure and achieve good product quality. The FMEA technique had applied in vest scopes which include aerospace, automatic, electronic, mechanic and service industry. The marking process is one of the back ends testing process that is the final process in semiconductor process. The marking process failure can cause bad final product quality and return although is not a primary process. So, how to improve the quality of marking process is one of important production job for semiconductor testing factory. This research firstly implements FMEA technique in laser marking process improvement on semiconductor testing factory and finds out which subsystem has priority failure risk. Secondly, a CCD position solution for priority failure risk subsystem is provided and evaluated. According analysis result, FMEA and CCD position implementation solution for laser marking process improvement can increase yield rate and reduce production cost. Implementation method of this research can provide semiconductor testing factory for reference in laser marking process improvement.

Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

Digital transformation has made enormous changes in the banking domain, where FinTech is the salient driving force inside it. Especially in the banking industry, Artificial Intelligence (AI) and Blockchain technology act as the most innovative technologies. Similarly, Chatbots in commercial banking and Robo-advisors in investment banking has shifted banks into the entire virtual environment. In this context, the main objectives of this chapter are: to determine the current application of AI and blockchain in the banking industry, to identify the challenges faced by banks in adapting AI and blockchain technology, and to provide new insights on future banking in the industry 5.0 in this digital era. This chapter discusses the application of two robotic platforms widely used in banking, chatbots, and Robo-advisors. Chatbots are more like frontline employees of banks who are commonly engaged in customer relationship management, sales, and marketing. In contrast, Robo-advisors are a relatively advanced AI tool involved in investment and portfolio management. Blockchain will accelerate digital transformation where a decentralized digital ledger system is used for banking transactions. However, this is entirely the opposite of conventional centralized digital banking, and the adoption of these technologies is still in its infancy. Employment, performance, security, privacy and trust, cost, ethical and regulatory challenges are the most common challenges. To avoid the challenges, banks should concern with strategies like collaboration with robots, increasing the platforms’ performance, etc. Finally, the chapter provides insights on banking at industry 5.0. In the future, banking customers can experience completely virtual and customer-oriented banking services. In this regard, the fusion of all technologies and collaborative human effort is essential.

The current depletion of fossil fuels and environmental degradation are requiring greater energy efficiency in buildings, particularly in the residential sector. However, environmental improvement actions for dwellings are usually based on general considerations, without identifying the most appropriate measurements to be taken in each case, or reviewing their application with stakeholders. This article puts forward a strategy to propose effective and feasible modifications in the design or refurbishment of single-family homes to reduce energy use while maintaining indoor comfort. The improvements proposed are based on dynamic energy simulations of individual models adapted to local realities that can be carried out by regular professionals. The process includes the review of studies and information on the geographic area, and compilation of the constructive features and occupancy data of each house to create a proper energy behaviour model. Possible improvements to the building are then simulated separately in each model and the results recorded. Subsequently, a budgetary analysis of these alternatives according to construction costs and financial projections is carried out in order to identify retrofit packages and consult the opinions of residents and builders. The application of this strategy is demonstrated in the study of several houses in Concepción, Chile, where different sets of measures have been identified to achieve high reductions in energy demand while having low cost and being highly appreciated by the participants. This provides a methodology for developing and validating effective solutions for the environmental improvement of existing dwellings and new housing projects.

The paper deals with a heuristic approach to a Chinese‐writing character search. Due to the small masks of the Chinese words being used in the approach, the database of the masks are compressed. Heuristic information, which is the summation of the values of elements of the mask, has been used in the searching process. It simplifies the approach and accelerates the search. By means of a FFT or FWT (Walsh Transformation) algorithm, a word may be mapped into its image form, which is a two‐dimensional array in a frequency domain; then a small mask is extracted.

This study aims to understand the house owners' energy concerns. An exploratory inductive research design has been chosen to explore the perceptions of households towards the modernization of energy use in residential buildings. Face-to-face interviews with experts and households were conducted in Baden-Württemberg, Germany to collect the data. This study found that most of the house owners do not know about the benefits of increasing the energy performance in residential buildings and which energy efficiency potentials they can acquire. Additionally, house owners’ superficial knowledge creates fears and doubts concerning the modernization of energy use in residential buildings. Moreover, this study found that the local public administration, such as the municipalities, has a good reputation among households. Hence, public marketing activities should be run locally. It is suggested that the public administration should not conduct any public marketing activities without the support, for example, of the mayor. Further, it is necessary to supply the house owners with clear and understandable information on the topic and to demonstrate the functionality of the technologies to increase energy efficiency in residential buildings. Moreover, interpersonal communication such as a hotline and personal advisory service concerning energy-efficient refurbishment of residential buildings can be very beneficial to support the households. Local public administration should aim to introduce public marketing activities to enhance the modernization of energy use in residential buildings.

The purpose of this paper is to give an overview of artificial intelligence (AI) and other AI-enabled technologies and to describe how COVID-19 affects various industries such as health care, manufacturing, retail, food services, education, media and entertainment, banking and insurance, travel and tourism. Furthermore, the authors discuss the tactics in which information technology is used to implement business strategies to transform businesses and to incentivise the implementation of these technologies in current or future emergency situations.

The review provides the rapidly growing literature on the use of smart technology during the current COVID-19 pandemic.

The 127 empirical articles the authors have identified suggest that 39 forms of smart technologies have been used, ranging from artificial intelligence to computer vision technology. Eight different industries have been identified that are using these technologies, primarily food services and manufacturing. Further, the authors list 40 generalised types of activities that are involved including providing health services, data analysis and communication. To prevent the spread of illness, robots with artificial intelligence are being used to examine patients and give drugs to them. The online execution of teaching practices and simulators have replaced the classroom mode of teaching due to the epidemic. The AI-based Blue-dot algorithm aids in the detection of early warning indications. The AI model detects a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection, sound pressure detection and light level detection. The above and various other applications are listed throughout the paper.

Research is largely delimited to the area of COVID-19-related studies. Also, bias of selective assessment may be present. In Indian context, advanced technology is yet to be harnessed to its full extent. Also, educational system is yet to be upgraded to add these technologies potential benefits on wider basis.

First, leveraging of insights across various industry sectors to battle the global threat, and smart technology is one of the key takeaways in this field. Second, an integrated framework is recommended for policy making in this area. Lastly, the authors recommend that an internet-based repository should be developed, keeping all the ideas, databases, best practices, dashboard and real-time statistical data.

As the COVID-19 is a relatively recent phenomenon, such a comprehensive review does not exist in the extant literature to the best of the authors’ knowledge. The review is rapidly emerging literature on smart technology use during the current COVID-19 pandemic.

Successful staffing in organizations requires that job applicant qualifications be properly matched with job requirements and corporate culture. With rapid economic expansion in China and predictions for continued growth, there has been a substantial increase in the staffing needs of companies operating in China or servicing this market from afar. Working with university placement offices and/or actively recruiting on campuses, many organizations are looking to undergraduate and graduate business programs in China as a source of job candidates.