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This chapter explains the role and potential of colour and lighting as two important elements of the service atmosphere in tourism and hospitality service encounters. The chapter first explains the importance of colour and lighting in services from the perspective of customers’ sensory perceptions. Then, the chapter provides examples to demonstrate how psychological/neuro-marketing tools of Eye Tracker and Facial Recognition, Galvanic Skin Response (GSR) and Heart Rate (HR) can be used to understand the role of colour and lighting in customer satisfaction in tourism and hospitality service encounters. Based on this perspective, the study offers recommendations to design service environments in terms of colour and lighting.

Stations have two main functions. The primary function of a station is to connect different modes quickly and easily with each other, this is when passengers are moving from one place to another. The secondary function is to make sure that passengers can spend their (waiting) time at a station in a pleasant way when they are staying at the station. Interchanges have to be designed to make moving as efficient as possible and staying as pleasant as possible. This means that users want a station where they can move safe, fast and easily and spend their time in a comfortable and pleasant way. The station experience can be enhanced with optimal (intuitive) wayfinding and environmental stimuli (e.g. music, light, colours, infotainment and advertisements) that can turn a transport interchange into an efficient node and a positive unique place. In this chapter, we explain how the quality of stations can be improved.

This chapter offers an overview of the applications of artificial intelligence (AI) in the textile industry and in particular, the textile colouration and finishing industry. The advent of new technologies such as AI and the Internet of Things (IoT) has changed many businesses and one area AI is seeing growth in is the textile industry. It is estimated that the AI software market shall reach a new high of over US$60 billion by 2022, and the largest increase is projected to be in the area of machine learning (ML). This is the area of AI where machines process and analyse vast amount of data they collect to perform tasks and processes. In the textile manufacturing industry, AI is applied to various areas such as colour matching, colour recipe formulation, pattern recognition, garment manufacture, process optimisation, quality control and supply chain management for enhanced productivity, product quality and competitiveness, reduced environmental impact and overall improved customer experience. The importance and success of AI is set to grow as ML algorithms become more sophisticated and smarter, and computing power increases.

In this chapter, drone and vision camera technology have been combined for monitoring the crop product quality. Three vegetable crops such as tomato, cauliflower, and eggplant are considered for quality monitoring; hence, image datasets are collected for those vegetables only. The proposed method classified the vegetables into two classes as rotten and nonrotten products so the images were collected for rotten and nonrotten products. Three different features information such as chromatic features, contour features, and texture features have been extracted from the dataset and further used to train a Gaussian kernel support vector machine algorithm for identifying the product quality. The system utilized multiple features such as chromatic, contour, and texture features in classifier training which enhances the accuracy and robustness of the system. Chromatic features were utilized for detecting the crop while other features such as contour and texture features were utilized for further classifier building to identify the crop product quality. The performance of the system is evaluated based on the true positive rate, false discovery rate, positive predictive value, and accuracy. The proposed system identified good and bad products with a 97.9% of true positive rate, 2.43 % of false discovery rate, 97.73% positive predictive value, and 95.4% of accuracy. The achieved results concluded that the results are lucrative and the proposed system is efficient in agriculture product quality monitoring.

Together with developing information and communication technologies and the increasing use of the Internet, there have been changes in the behaviors of the consumers during the purchasing decision process. Today’s consumers realize most of the decision process phases (such as gathering the information, determining the alternatives, evaluating the alternatives and even purchasing) from the Internet. Tourists who would like to purchase a holiday are also using the Internet during their holiday decision process. Today, websites which became an increasingly popular information source for the consumers play a significant role in potential visitors/tourists’ choices related to the destinations. Websites are used as a distribution and marketing tool in promotion and marketing of the tourism destinations. In this context, the design and content of the destination websites should be on a level which would attract and satisfy the tourists. In this chapter, the author will primarily discourse the visual and auditory factors which affect the perception of tourists and the application areas of these factors in website design. Then, the subjects such as the key features of the websites, information that should be provided on websites, the design of the website and their functions will be covered. The parameters that should be taken under consideration in order to evaluate the performance of a website and the evaluation criteria for the sites will also be included within the context of this chapter. In this chapter, the author will also discourse the benefits that the websites provide for destinations and the success factors of the destination websites. In the conclusion section of this chapter, the author will provide propositions related to the factors that should be taken under consideration in destination website design.

Research indicates that faculty of color in the United States face numerous challenges in the academy. To complicate their experiences further, children significantly impact academics’ work. Additional difficulties can arise in balancing work with familial responsibilities. Indeed, strategies to navigate parental obligations while engaging in professional activities are seldom examined among minority parents, across genders and institution types. In response, the current study investigates the intersectionality of race, gender, and parenthood on navigating a work–life balance in academia. This study examines 13 male and female minority parents from an array of institutions and explores their strategies for navigating professional advancement while managing familial obligations.

Our data suggest that parents of color often develop timesaving strategies to complete their work more efficiently. However, in order to do so, they tend to engage in professional and social isolation and to recalibrate personal expectations of work and accomplishments. Of importance, the study uncovered significant gender differences. While fathers faced comparable challenges, the findings indicate that familial responsibilities can disadvantage women more so by impacting their ability to foster professional relationships and potentially harm their emotional well-being. While most faculty of color face difficulties in the workplace, we argue that those with children, especially mothers, face additional challenges that should be addressed by home institutions to foster more equitable opportunities for professional growth.

The No Child Left Behind Act (2002) and Race to the Top (2009) led to the highest rate of standardized-state testing in the history of the United States of America. As a result, the Every Student Succeeds Act (2015) aims to reevaluate standardized-state testing. Previous research has assessed its impact on schools, educators, and students; yet, youth’s voices are almost absent. Therefore, this qualitative analysis examines how youth of color perceive and experience standardized-state testing.

Seventy-three youth participated in a semistructured interview during the summer of 2015. The sample consists of 34 girls and 39 boys, 13–18 years of age, of African American, Latino/a, Jamaican American, multiracial/ethnic, and other descent. It includes 6–12th graders who attended 61 inter-district and intra-district schools during the 2014–2015 academic year in a Northeastern metropolitan area in the United States that is undergoing a racial/ethnic integration reform.

Youth experienced testing overload under conflicting adult authorities and within an academically stratified peer culture on an ever-shifting policy terrain. While the parent-adult authority remained in the periphery, the state-adult authority intrusively interrupted the teacher-student power dynamics and the disempowered teacher-adult authority held youth accountable through the “attentiveness” rhetoric. However, youth’s perspectives and lived experiences varied across grade levels, school modalities, and school-geographical locations.

In this adult-dominated society, the market approach to education reform ultimately placed the burden of teacher and school evaluation on youth. Most importantly, youth received variegated messages from their conflicting adult authorities that threatened their academic journeys.