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This study presents the design, manufacture and evaluation of a type of 3D hollow woven structure, as a mean for improving ventilation underneath ballistic body armour and thus, thermal comfort.

By means of a computational fluid dynamic package, fluid flows through different cross‐sectional tubular geometries were simulated in order to predict, which structural parameters of the 3D hollow fabrics are optimal to support ventilation.

As the result of the computational analysis four optimised 3D hollow woven structures were selected and generated on a standard weaving loom.

Investigation of thermal comfort of 3D ballistic vests.

The goal of this paper is to develop a model which may be used to demonstrate costs and benefits of risk management investments in the context of value-based management.

This paper answers the question of how to quantify changes in company value caused by risk management measures on a theoretical basis. First, a review of empirical studies allowing assertions about the cost and utility of risk management investments is presented. The results of these studies point to a nonlinear shape of the curve and form a basis for the development of a seemingly plausible cost/utility correlation.

In this paper, a model will be developed which can be used to demonstrate costs and benefits of risk management investments in the context of value-based management. It is assumed that at first, risk management expenditures without measurable monetary utility will have to be made. Furthermore, it is assumed to increase more than proportionally, then less than proportionally, until further investments in risk management activities yield only minimal increases in utility and cannot improve company value any further.

By inserting the yet-to-be-determined actual cost/benefit relationship for a company or industry sector into the EVA equation, it is possible to display the effects of risk management measures on the company value. This procedure is principally combinable with the analysis of other value-based control parameters, that is, the Discounted Cash Flow concept or the Cash Value Added methodology.

Risk management is increasingly gaining scientific and public interest, especially since the global financial crisis. Scientists and practical users espouse the benefits of risk management systems in this context. However, the extent to which investments in risk management systems can improve the value of a company remains still unclear.

We could determine that at first risk management expenditures will not result in a monetarily measurable benefit. The remaining slope of the curve is derived as increasing more than proportionally at first, then less than proportionally, until further investments into risk management activities yield almost no additional increase in benefits. In this paper, three different functions are offered to describe the shape of the curve identified. They differ in regard to their free parameters and hence in their flexibility of application. The higher flexibility of functions #2 and #3 is balanced by the disadvantage of increasing formal complexity, possibly leading to an increased effort for implementation and application.

To harness the relationships developed in this paper for practical use, further research should target the identification and empirical verification of dependencies between the parameters and principal company index values.

The purpose of this paper is to develop and test a framework to investigate the relationship between perceived value, satisfaction, trust and behavioral intentions and the moderator effect of the cruise line on cruise passengers’ perceptions.

A structural model was developed. In order to verify the hypotheses, a total of 729 cruise passengers were sampled. The study of the data used structural equation models by means of a multi-group analysis.

The results of this study suggest significant paths to increase behavioral intentions: perceived service quality? satisfaction? trust?. In addition, it has been proved that the cruise line moderates the relationships between constructs in most of the relationships in the two cruise lines analyzed.

The differences in the relationships of perceived service quality with overall satisfaction, trust and behavioral intentions suggest that one of the cruise lines analyzed ought to make decisions to improve the installations and the services on board the ships. These decisions involve substantial investments which affect, as well as the marketing management regarding the design of the product, the financial management and also the CEO.

Unlike earlier studies of cruise tourism carried out in Caribbean and Asian destinations, this study empirically tested a model of the formation of behavioral intentions which incorporates trust as a mediator variable between satisfaction and behavioral intentions and between perceived service quality and behavioral intentions in the Mediterranean. Also tests the moderator effect exercised by the cruise line on the consumers’ perception on the way to behavioral intentions.

Actor engagement (AE) literature shows inconsistent understandings of engagement intensity. However, a holistic picture of the nature of AE intensity is foundational to advance empirical AE models and measurement frameworks. This paper provides a nuanced understanding of what engagement intensity is and how it unfolds on different network levels.

This conceptual study draws from a literature review and offers a comprehensive classification scheme of AE intensity. The literature review extends beyond marketing and service research and draws from the etymology of AE intensity in management and social science, specifically, the fields of student, employee and civic engagement.

The classification scheme clarifies that AE intensity at the individual level refers to actors' affective and cognitive tone and varying magnitudes (i.e. efforts, duration, activeness) of resource investments. At the dyad level, AE intensity represents relational strength, and at the network level, it refers to the degree of connectedness in the network.

The research reconciles conceptual inconsistencies in the AE literature. Our classification scheme goes beyond the individual actor and actor–actor dyad and offers a holistic overview of possible ways to operationalize AE intensity in networks.

The classification scheme can be used as a strategic checklist to include AE intensities of individual actors (e.g. customers and employees), relationships between these actors and network connectedness, when further developing engagement measurement tools and benchmarks.

This is the first study providing a comprehensive understanding of AE intensity from an individual, dyadic and network perspective.

Over the last decade, customer experience management has gradually emerged as the most important activity for organisations. Organisations have turned towards leveraging the ubiquitous and easy-to-use technology in enhancing and enabling experience for the time-crunched customers of today who are looking for greater convenience and choices. It is therefore not surprising that disruptive technologies such as smartphones, virtual and augmented reality, cloud computing, big data analytics, Internet of things, artificial intelligence and robotics have also found their way into the design of customer experience. This chapter aims to present an overview of the technologies that have transformed the customer experience landscape. This chapter contributes by showcasing two illustrative cases from very diverse domains, a private sector bank and a public sector transportation organisation, to elucidate how India, a rapidly developing economy, is embracing technology to enhance the customer experience.

In the academic field of business management, several potential theories were established during the last decades to explain companies' decisions, organizational behavior, consumer patterns, and internationalization, among others. As a result, businesses and scholars were able to analyze and decide based on theoretical approaches to explain the current conditions of the market. Secondary research was conducted to collect more than 36 management theories. This chapter aims to develop the most famous theories related to business applied in the international field. The novelty of this chapter relies on the compilation of recognized previous research studies from the academic literature and evidence in international business.

The present paper reports on the development of SITE EXPERT: a prototype knowledge‐based expert system. It is an advisory system. SITE EXPERT is intended to be used for productivity improvement in construction and provides advice on: (1) the productivity of three basic operations of construction, i.e. pouring and placing of concrete, erection and removal of formwork, and fixing reinforcement; and (2) human resources and site layout as productivity factors. The system uses information from construction experts, text books, data recorded at construction sites and the engineer's own knowledge, as well as knowledge obtained by running simulation models. In the present paper, the development, operation and evaluation of the prototype system is described. The results of this prototype system development demonstrate that artificial intelligence methodologies provide powerful facilities for capturing information about construction processes and advising the practitioners of construction on productivity improvement within a computer format close to human reasoning.

Digital advertising enables retailers to rely on large volumes of data on consumers and even leverage artificial intelligence (AI) to target consumers online with personalised and context-aware advertisements. One recent example of such advertisements is programmatic advertising (PA), which is facilitated by automatic bidding systems. Given that retailers are expected to increase their use of PA in the future, further insights on the pros and cons of PA are required. This paper aims to enhance the understanding of the implications of PA use for retailers.

A theoretical overview is conducted that compares PA to traditional advertising, with an empirical investigation into consumer attitudes towards PA (an online survey of 189 consumers using an experimental design) and a research agenda.

Consumer attitudes towards PA are positively related to attitudes towards the retailer. Further, perceived ad relevance is positively related to attitudes towards PA, which is moderated by (1) consumer perceptions of risks related to sharing their data with retailers online and (2) consumer perceptions of AI's positive potential. Surprisingly, the disclosed use of AI for PA does not significantly influence consumer attitudes towards PA.

This paper contributes to the literature on technology-enabled services by empirically demonstrating that ad relevance drives consumer attitudes towards PA. This paper further examines two contingencies: risk beliefs related to data (i.e. the source of PA) and perceptions of AI (i.e. the somewhat nebulous technology associated with PA) as beneficial. A research agenda illuminates central topics to guide future research on PA in retailing.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Online customer relationship management (CRM) is an important issue for implementing digital marketing of electronic commerce or social commerce. The purpose of this study is to establish valuable markets for discovering customer knowledge from data-driven CRM systems for enhancing growth rates of businesses. Airline or travel agency industries are online businesses in the world. Therefore, the industries in Taiwan will be an empirical case for this study.

This research applied a procedure with an applied proposed model for establishing valuable markets from data-driven CRM systems. However, the study used a proposed customer value model (recency, frequency and monetary [RFM]; RFM model-based), the analytic hierarchy process (AHP) procedure and a proposed equation for estimating customer values.

For enhancing the data-driven CRM marketing of the industries, in this research, the market of air travelers can be partitioned into eight markets by the proposed model. As well, the markets can be ranked by the AHP procedure. Furthermore, the travelers’ customer values can be estimated by a proposed customer value equation.

Via the applied proposed procedure, online airlines, travel agencies or other online businesses can implement the research procedure as their data-driven marketing strategy on their online large-scale or Big Data customers’ databases for enhancing sales rates.