Search results

The purpose of this paper is to measure the influence of corruption distance (CD) on foreign direct investment (FDI) with the characteristics of the value function from the Prospect Theory (PT) such as loss aversion and diminishing sensitivity.

Data are derived from Transparency International and the Organisation for Economic Co-operation and Development (OECD) and tested on the countries China, Germany, Italy, Japan, Korea, Russia, Spain and the UK and are analysed with a natural log (LN) regression model.

The findings indicate a negative asymmetric relationship for China, Germany, Korea, Spain and Russia. This means that negative performance on CD will not have greater impact on FDI outflows than positive performance on CD in the same country. Loss aversion, as well as diminishing sensitivity, as suggested by the PT, cannot be supported with the empirical results.

Its originality lies in contributing and extending knowledge on CD on FDI in several ways. First, it analyses the data of emerging and industrialized countries, namely, Russia, China, Germany, Italy, Japan, Korea, Spain and the UK. Second, a potential asymmetric impact is explained by the characteristics of the hypothetical value function of the PT. Third, it seeks empirical evidence by applying an econometric model developed to analyse the variables CD and FDI.

Robotic process automation (RPA) is a rapidly emerging field of computer science. It refers to the use of software robots or similar virtual assistants, which are programmed to complete repetitive and labor-intensive tasks. It has been shown that RPA offers technologically advanced solutions to businesses around the world and can cut costs, raise levels of efficiency, and improve quality. In the effort to remain competitive in the market, RPA has become a powerful and competitive tool for companies spanning a range of different industries. In this chapter, the authors’ focus is on the role of RPA in the banking sector. In this chapter author will analyze the existing scientific research in this area, with a focus on the process requirements for implementing RPA in banks, RPA vendors, and the general benefits of robotization in banking. The chapter will provide additional value through a list of suggestions for the practical use of RPA in the banking industry.

In recent years, with the development of technology, the number of contact points between companies and their customers has multiplied. From the company point of view, companies may reach their customers through multiple marketing channels. Moreover, business intelligence necessitates increasing data sources, strengthening the power of analysis tools, and developing knowledge to be used as a competitive advantage. On the other hand, today’s mostly digitized customers expect more than just commoditized products or services. Customer activation creates experiences that make them feel strong as agents perpetrating the structure (brand strategies) by taking an active role instead of being passive. In other terms, customers are in the main decision position to plan the structure. Thus, companies should design unique and memorable customer experiences through different channels in an integrated way, which is called omnichannel. Omnichannel customer experience management is possible by determining and coordinating customer touch points. In other terms, a melody should exist at these interaction points. This book aims to contribute to this advancement by first providing general reviews of the literature, then covering the pillars to design omnichannel customer experiences, and lastly providing technology-enhanced applications from several industries. This book aims also to provide fresh conceptual insights and thinking about the ways to design and develop omnichannel customer experiences.

Academic healthcare systems face great challenges in coordinating services across a continuum of care that spans hospital, community providers, home and chronic care facilities. The Johns Hopkins Community Health Partnership (J-CHiP) was created to improve coordination of acute, sub-acute and ambulatory care for patients, and improve the health of high-risk patients in surrounding neighborhoods. The paper aims to discuss this issue.

J-CHiP targeted adults admitted to the Johns Hopkins Hospital and Johns Hopkins Bayview Medical Center, patients discharged to participating skilled nursing facilities (SNFs), and high-risk Medicare and Medicaid patients receiving primary care in eight nearby outpatient sites. The primary drivers of the program were redesigned acute care delivery, seamless transitions of care and deployment of community care teams.

Acute care interventions included risk screening, multidisciplinary care planning, pharmacist-driven medication management, patient/family education, communication with next provider and care coordination protocols for common conditions. Transition interventions included post-discharge health plans, hand-offs and follow-up with primary care providers, Transition Guides, a patient access line and collaboration with SNFs. Community interventions involved forming multidisciplinary care coordination teams, integrated behavioral care and new partnerships with community-based organizations.

This paper offers a detailed description of the design and implementation of a complex program to improve care coordination for high-risk patients in an urban setting. The case studies feature findings from each intervention that promoted patient engagement, strengthened collaboration with community-based organizations and improved coordination of care.