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The railway track system is the platform by which loads from moving trains are transferred to the underlying soil or supporting infrastructure such as bridges. The most common type of railway track system is ballasted track, which has been in use for over a century. Ballasted track has proved versatile. It can be constructed using locally available materials and with modifications to the rails and sleepers, crossings transferring trains from one route to another can be created. The structure of a ballasted track system consists of two main parts. The upper portion, termed the superstructure, comprises the rails, fastenings and sleepers. It is formed of components whose shape, stiffness and strength are designed and closely controlled. Below the superstructure is the substructure, which comprises the ballast and sub-ballast. Although the materials used in the substructure may have been specified, their engineering properties and geometric placement are less well controlled. In this chapter, we will explore how a typical ballasted track system transfers load to the ground and the ways in which the track form deteriorates, requiring maintenance and eventually renewal.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

The purpose of this chapter is to review and synthesise the available evidence for the health benefits of walking. It follows a non-systematic evidence review and finds that the evidence base for the health benefits of walking is growing. Increasingly we are finding strong evidence for the beneficial effects of walking for both individuals and populations. More evidence is required on how to better understand the health outcomes associated with walking and how to promote long term increases in walking behaviour. Systematic reviews of specific health benefits remain rare. Walking should be promoted in all population groups regardless of age or sex. There are currently few existing integrative syntheses of the physical and mental health outcomes associated with walking and this chapter aims to help fill that gap.

This chapter is designed for use by commercialization teams evaluating the commercial relevance of a new invention. To be relevant commercially, an invention must create value in one or more markets, which involves solving a problem or satisfying customer needs currently unmet. Unmet needs create market opportunities, and the goal is to identify and evaluate the profitability of these opportunities. The chapter provides an overview of concepts and techniques commonly used in the process. Important distinctions between market and industry concepts are introduced along with common rubrics for categorizing inventions in terms of their technological and market implications. These concepts are then used to discuss the roles of prior experience, lead users, and brainstorming in identifying market opportunities for various types of inventions. Techniques covered include market analysis, Porter’s five forces of industry profitability, analysis of political, economic, social, and technical environments (PEST), and the analysis of strengths, weaknesses, opportunities, and threats (SWOT). The use of these techniques is illustrated for two startup commercialization teams.

This study examines the volatility of inflation in Indonesia before and during COVID-19, focusing on people’s purchasing power. The high inflation variability makes future price expectations uncertain, creating risks in the long run and uncertainty in wealth redistribution. The ARIMA model was used from January 2005 to June 2020. The results show that the ARMA (0.1) model is suitable for testing inflation volatility in Indonesia. Forecasting results show that inflation for the next six months will still be under pressure due to COVID-19.

At least 35 years have passed since Slovic's (1987) seminal article on the ‘Perception of Risk’, wherein the conceptual foundations for understanding general risk and the psychometric properties underlying how individuals perceive risks were laid. Over the same time span, research on risk perception in the context of travel has become voluminous and recurrent. It is therefore fitting that in a modern, post-COVID age, Slovic's theory of risk perception is re-examined in the travel context, given the recent dramatic transformation of travel, the emergence of novel tourism-related risks and persistent scholarly attempts to understand travel risk theory. Using modern data mining methods and content analysis techniques, this chapter examines the stability and validity of long-standing categories and taxonomies of perceived travel risks, based on data archived in a sizeable database of scholarly studies related to travel risk (n = 17,790 studies), across an extensive 35-year period from 1990 to 2022. Findings infer two higher-order dimensions that likely underpin the taxonomic organization and relational ordering of different travel risk types and clusters. Findings also suggest a possible shift from Slovic's original theory in the way risks are perceived, at least in the travel context.

The purpose of the chapter is to identify the fundamental characteristics of organisational resilience in management science with particular emphasis on selected approaches to the concept of resilience and organisational resilience in management, development of the definition of organisational resilience, comparison of the definitions of the concept of organisational resilience according to the adopted features, location of the defined features of organisational resilience in the planning perspective of the organisation and application of the concept of resilience to entrepreneurs, enterprises, and their strategies. Understanding resilience differs between disciplines and research contexts. In the management theory, the perception of resilience and organisational resilience is broadly diversified, which implies a niche for discussing their crucial pivot, which will be addressed in this chapter. A systematic literature review was conducted as well as a critical analysis of literature sources, as a result of which relevant significant foundation of organisational resilience area within the theory of management was determined. Analysed directions significantly indicate the importance of organisational resilience in management, enriching its heritage in accordance with current scientific discoveries. Entrepreneurs can use the selection of the theoretical foundation of organisational resilience as an indication of the management areas that may be developed to search for organisational excellence.

Introduction: Human resource management (HRM) is going through a transformation phase due to the pandemic. The COVID-19 crisis compelled the employees to work virtually. To mitigate the effects of COVID-19, several organisations heavily invested in artificial intelligence (AI) in the realm of HRM.

Purpose: With limited studies on the paradigm shift in HRM post-pandemic and the role of AI, the study investigates and proposes a conceptual framework for the paradigm shift in HRM practices post-COVID-19 pandemic and the significance of AI. Furthermore, the study investigates the outcomes of the use of AI in HRM for organisations and employees.

Methodology: A comprehensive review of the literature based on the guidelines of Tranfield, Denyer, and Smart (2003) and Crossan and Apaydin (2010) has been followed. A systematic literature review assisted in critically analysing, synthesising, and mapping the extant literature by identifying the broad themes involved.

Findings: COVID-19-related economic disruption has led to a paradigm shift in HRM practices. AI-enabled HRM practices are now centred around remote and contingent workforce management, mindfulness, social capital, increasing employee engagement, reskilling and upskilling towards new competencies, etc. AI is making remote work seamless through smooth recruitment and selection process, onboarding, career and development, tracking and managing the performance, facilitating learning, and talent management. Post-pandemic, AI-powered tools based on data mining (DM), predictive analytics, big data analytics, natural language processing (NLP), intelligent robots, machine learning (ML), virtual (VR)/augmented reality (AR), etc., have paved the way for managing the HRM practices effectively, thereby leading to enhanced organisational performance, employee well-being, automation, and reduced cost.