A Systematic Review of the Use of Social Media as a Recruitment Tool on the Social Ethical and Privacy Context

The influence of social media such as Facebook, LinkedIn, and Twitter plays an increasingly influential role in the daily lives of people. Despite the rise of interest in this topic, the research discussing the ethical concerns of using social media for recruitment purposes remains in exploratory stages. This chapter provides a systematic review of recent research that was published from 2012 to 2018 and focused on ethical issues related to the use of social media for recruitment purposes. The techno-ethical lens, which studies the impact of technology on ethics, was used to explore the social and ethical aspects of how recruiters use social media for recruitment purposes.

Consumer Protection in Online Shopping

The main purposes of this research are (1) to reveal the virtual credit card (VCC) awareness of online shoppers and (2) to prepare a to do list for managers and relevant institutions to provide a more secured internet shopping process by enhancing the trust perception of consumers. To this end, a structured questionnaire consists of three sections was designed and conducted during the period April-May 2018 in Turkey. The findings achieved show that online shoppers mostly attach importance to the recognition of the website, which means they seek trust in online shopping process. On the other hand, they mostly use credit and debit cards, which may make consumers encounter serious fraud issues. VCC usage is only 4.9% in general although VCC awareness is 55.1%. This low level of VCC awareness is associated with education level and the information provided by the financial banks.

An Assessment of Federated Machine Learning for Translational Research

Translational research (TR) is the harnessing of knowledge from basic science and clinical research to advance healthcare. As a sister discipline, translational informatics (TI) concerns the application of informatics theories, methods, and frameworks to TR. This chapter builds upon TR concepts and aims to advance the use of machine learning (ML) and data analytics for improving clinical decision support. A federated machine learning (FML) architecture is described to aggregate multiple ML endpoints, and intermediate data analytic processes and products to output high quality knowledge discovery and decision making. The proposed architecture is evaluated for its operational performance based on three propositions, and a case for clinical decision support in the prediction of adult Sepsis is presented. The chapter illustrates contributions to the advancement of FML and TI.

They Know What You Will Do Next Click

This chapter focuses on predicting web user behaviors. When web users enter a website, every move they make on that website is stored as web log files. Unlike the focus group or questionnaire, the log files reflect real user behavior. It can easily be said that having actual user behavior is a gold value for the organizations. In this chapter, the ways of extracting user patterns (user behavior) from the log files are sought. In this context, the web usage mining process is explained. Some web usage mining techniques are mentioned.

In Digital Technology We Trust

This chapter explores the concept of trust and issues relating to how the construct is conceptualised and understood in a traditional offline context as well as in online environments. The chapter opens with a mini case study that highlights the complexities of being a privately-owned small firm operating in a dynamic and largely unregulated web environment. The firm is relatively new to the financial sector thus augmenting the challenges that lie in reducing perceived risk in an industry that has a chequered history with customer perceptions of credibility and integrity in the financial services sector. The chapter introduces the theoretical underpinning, which draws from the trust theories and technology adoption at firm level, which is critiqued through the lens of the technology acceptance model. Concepts related to institution-based trust are discussed and managerial implications are considered for pure play firms operating online. Each section of the chapter explores these theoretical perspectives from a FinTech context.

Rural Economy Activation Through E-Commerce

Rural economy has been characterized by low incomes and self-consumption production. With the expansion of global markets and the access of customers through internet, the possibility of moving traditional markets to e-commerce increases. This expansion allows the inclusion of rural economy into the e-commerce market. This chapter describes the challenges to be overtaken in order to activate rural economy through e-commerce. The chapter is organized in five sections: The first section focuses on the communication infrastructure available in rural areas. In the second section, the current state and challenges to be addressed for guaranteeing on time delivery are presented. The third section describes payment methods. The fourth section presents schemes of organization required into the communities to guarantee the quality of products. Finally, marketing, advertising, and social networks are discussed.

Factors That Determine Users' Switching Intention From a Debit/Credit Card to Adopting E-Wallet as a Payment Method

This study investigates the switching intention and actual behavior of e-wallet users in Greater Jakarta by using the push-pull and mooring model. There were 33 constructs distributed in Greater Jakarta. Using a quantitative technique, this research used non-probability sampling. The samples collected consisted of 357 valid responses. PLS-SEM and bootstrapping were conducted to check the validity, reliability, and hypothesis testing. Based on the results, low efficiency and personal experience had no significant influence towards switching intention. There was a significant influence from switching cost, social image, security, and alternative attractiveness towards switching intention. Lastly, there was a significant influence of switching intention towards actual behavior. The results gained from the study generated managerial and theoretical implications, which later can be used for the e-wallet provider to improve its services.

Digital Transformation and Innovation Explained

Digital transformation is reshaping many areas of work and life within contemporary society. These include healthcare, education, government, politics, law, human rights, and ethical controversies. This chapter addresses the following questions, What is the current conception of digital transformation as an emerging interdisciplinary field of research and study? The objectives of the chapter are twofold: (1) to conceptualize digital transformation as an emerging interdisciplinary field and (2) to identify key research areas that currently constitute digital transformation. The chapter contributes by positing a comprehensive systems definition of digital transformation as an interdisciplinary research field to help guide researchers and other leaders in the field.

The Phenomenon of Blockchain Technology and the Future of Self-Stabilising and Self-Adaptive Systems of Systems

Thinking in terms of blockchain technology has developed rapidly over the past decade, with the focus primarily being on all the new possibilities created by this essentially technology-driven development. At its core, blockchain technology consists of a combination of reliable communication mechanisms between systems and the performance of joint decision-making processes by these systems. Consensus algorithms enable combinations of hardware, algorithms, and software (i.e., cyber-physical systems) to operate in networks and engage in secure intercommunication and interaction in these networks. Thanks to intercommunication, cyber-physical systems are able to reach consensus on decisions on information transactions to perform. This, in turn, empowers interconnected systems to increase their level of autonomy and adapt their individual and joint operations to changes that emerge from within them or from their environment.

Final Framework for a Successful Business Incubator for Indonesian Public Universities

Universities have a meaningful function in motivating young graduates to become entrepreneurs in the technology field. Still, Indonesia has an unemployment issue for people's welfare. Indonesia has many potential markets. The first objective of the research is to investigate the indicators and success factors of business incubators in Indonesian public universities. Second is to examine the critical factors that influence the success of business incubators in the Indonesian public universities The third is to propose and develop successful business incubators in Indonesian public universities, and fourth is to measure the influence of IT and e-commerce assistance factor to the success of the university business incubator. The results indicated that there are four significant success factors (i.e., information technology and e-commerce assistance – abilities of business incubator, mentoring and networking, funding and support, and university regulation) with the moderating factors of age of facility, credit and rewards, and good infrastructure system.