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Despite an enormous growth of the literature and research on inclusive education during the last two and a half decades, theory and practice on inclusive education are still inconsistent across the education systems worldwide. It is defined, conceptualised and practised differently across diverse socioeconomic contexts and groups of scholars and practitioners. While some promote educating all students in a mainstream classroom setting irrespective of their abilities and physical, emotional and behavioural challenges, others emphasise improving the overall quality of education for all children from diverse backgrounds. Given that education is a multidimensional social enterprise, promoting a single perspective at the cost of others or merely emphasising the role of schools and teachers may hardly result in improved education outcomes and guarantee equal learning opportunities for all. This chapter will critically review the relevant theory and discuss the different approaches to inclusive education. Then it will discuss the potential challenges to inclusive education across the education systems. Finally, the chapter will offer an inclusive way forward for improving the quality of education for all children, irrespective of their backgrounds, in mainstream schools in multicultural contexts.

Shopper marketing describes the planning and execution of all marketing activities that influence a shopper along – and beyond – the path-to-purchase, from shopping trigger to purchase, consumption, repurchase, and recommendation stages. Shopper marketing practices at manufacturers and retailers are growing at a tremendous pace and a rising portion of marketing budgets are now devoted to shopper marketing. The first phase of shopper marketing research and practice, Shopper Marketing 1.0, addressed interesting issues, primarily relating to in-store marketing. In the next phase, Shopper Marketing 2.0, will significantly extend to out-of-store marketing, including online and mobile marketing, resulting in an integrated practice. In this new environment, to formulate and execute effective shopper marketing strategies, managers need to better understand the complete picture of how online, offline, mobile and in-store marketing influence shoppers in the path-to-purchase-and-beyond cycle. In this chapter, we present the evolution of shopper marketing, summarize key learnings, outline important issues, and discuss the opportunities and challenges of Shopper Marketing 2.0.

Electric spring (ES) is a demand response method that can stabilize the voltage of critical loads and improve power quality, especially in a weak power grid with a high proportion of renewable energy sources. Most of existing ESs are implemented by voltage-source inverter (VSI), which has some shortcomings. For example, the DC-link capacitor limits the service life of ES, and the battery is costly and hard to recycle. Besides, conventional VSI cannot boost the voltage, which limits the application of ES in high-voltage occasions. This study aims to propose a novel scheme of ES to solve the above problems.

In this work, an ES topology based on current-source inverter (CSI) without a battery is presented, and a direct current control strategy is proposed. The operating principles, voltage regulation range and parameter design of the proposed ES are discussed in detail.

The proposed ES is applicable to various voltage levels, and the harmonics are effectively suppressed, which have been validated via the experimental results in both ideal and distorted grid conditions.

An ES topology based on battery-less CSI is proposed for the first time, which reduces the cost and prolongs the service time of ES. A novel control strategy is proposed to realize the functions of voltage regulation and harmonic suppression.

Mobile marketing, the two- or multi-way communication and promotion of an offer between a firm and its customers using a mobile medium, device, platform, or technology, has made rapid strides in the past several years. Mobile marketing has entered its second phase or Mobile Marketing 2.0. The surpassing of desktop by mobile devices in digital media consumption, diffusion of wearable devices among customers, and an overall integration and interconnectedness of devices characterize this phase. Against this backdrop, we present a synthesis of the most recent literature in mobile marketing. We discuss three key advances in mobile marketing research relating to mobile targeting, personalization, and mobile-led cross-channel effects. We outline emerging industry trends in mobile marketing, including mobile app monetization, augmented reality, data and privacy, wearable devices, driverless vehicles, the Internet of Things, and artificial intelligence. Within each extant and emerging area, we delineate the future research opportunities in mobile marketing. Finally, we discuss the impact of mobile marketing on customer, firm, and societal outcomes.

This paper replicates with a unionized, Indian sample, the well‐established finding that managerial evaluations of employee performance are affected by both objective productivity and organizational citizenship behavior. Data from the managers of 104 Indian pharmaceutical sales representatives and company records replicated the findings of previous research. While objective productivity alone accounted for 9 percent of the variance in subjective performance, objective productivity and organizational citizenship behavior together accounted for 41 percent of the variance. Implications of the findings for future research and managerial practice are discussed.

Using a sample of 103 Indian supervisor‐pharmaceutical sales representative dyads, this study hypothesized that procedural justice, distributive justice, perceived organizational support, and communication satisfaction with supervisor would have a stronger positive relationship to organizational citizenship behavior than to in‐role behavior. Supportive result was found for one variable, i.e., communication satisfaction with supervisor had a stronger relationship to organizational citizenship behavior.

The purpose of this paper is to address the extent to which quality management is “culture‐specific”.

The paper presents the results of a survey administered across 21 countries that seeks to examine quality priorities and practices by adopting the global leadership and organizational behaviour effectiveness (GLOBE) framework. Data were collected in 2006 as part of the fourth iteration of the International Manufacturing Strategy Survey. The methodology involved the use of a self‐administered questionnaire to director/head of operations/manufacturing in best practice firms within the sector of firms classified by ISIC codes (rev.3.1) Divisions 28‐35.

From this study, it emerges that adopting the GLOBE framework provides an invaluable insight into understanding quality management across countries. In particular, the findings show that some national cultures are more conducive to the implementation of quality management than others.

The analysis of the data leads this paper to endorse the idea that through an accumulation of scientific knowledge relevant to the applicability of quality management across national settings, managers can better understand how to transfer best quality management practices from one country to another.

While some previous research portrays quality management as a comprehensive management paradigm with elements and relationships that transcend cultural and national boundaries, the current study provides evidence that the adoption of certain quality practices across different countries can follow distinctive patterns.

Determining the right number of customers inside a store (i.e. human or customer density) plays a crucial role in retail management strategies. On the one hand, retailers want to maximize the number of visitors they attract in order to optimize returns and profits. On the other hand, ensuring a pleasurable, efficient and COVID-19-proof shopping experience, would go against an excessive concentration of shoppers. Fulfilling both retailer and consumer perspectives requires a delicate balance to be struck. This chapter aims at supporting retailers in making informed decisions, by clarifying the extent to which store layouts influence (perceived) consumer density. Specifically, the chapter illustrates how new technologies and methodologies (i.e. agent-based simulation) can help in predicting a store layout's ability to reduce consumers' perceived in-store spatial density and related perceptions of human crowding, while also ensuring a certain retailers' profitability.

Packaging and labelling have become essential to how food manufacturers generate and deliver value to customers. The information displayed on the packaging can be used to communicate to customers the properties and unique characteristics of a food product (e.g. nutrients, calories and country of origin). To achieve communication goals effectively, manufacturers need to understand how consumers evaluate products based on their attributes. In particular, companies should be aware of which specific product attributes affect consumer buying behaviour and which product attributes are more critical during food assessment. So, the paper aims to investigate consumer's behaviuor linked to typical product attributes indicated on the packaging.

The present study examines consumer willingness to pay (WTP) for a cherry jam with different attributes (brand, type of production method and price) on a sample of 2,166 Italian respondents through a choice experiment using a random parameter logit-error component model.

The results showed that WTP for jams can be affected by attributes such as brand, price and production methods; precisely, they indicated that the level of naturalness in the production process constitutes the main element for the consumer’s choice; however, the considerable weight that price and brand have in influencing the purchasing behaviour of the food consumer was still confirmed: in fact, a p-value of less than 0.05 was found in all cases.

To the best of the authors’ knowledge, this is the first study that assesses the effect of different types of production on WTP for food products. In addition, this study also reflects on the importance of the level of education for consumer choice.

The increasing importance and proliferation of text data provide a unique opportunity and novel lens to study human communication across a myriad of business and marketing applications. For example, consumers compare and review products online, individuals interact with their voice assistants to search, shop, and express their needs, investors seek to extract signals from firms' press releases to improve their investment decisions, and firms analyze sales call transcripts to increase customer satisfaction and conversions. However, extracting meaningful information from unstructured text data is a nontrivial task. In this chapter, we review established natural language processing (NLP) methods for traditional tasks (e.g., LDA for topic modeling and lexicons for sentiment analysis and writing style extraction) and provide an outlook into the future of NLP in marketing, covering recent embedding-based approaches, pretrained language models, and transfer learning for novel tasks such as automated text generation and multi-modal representation learning. These emerging approaches allow the field to improve its ability to perform certain tasks that we have been using for more than a decade (e.g., text classification). But more importantly, they unlock entirely new types of tasks that bring about novel research opportunities (e.g., text summarization, and generative question answering). We conclude with a roadmap and research agenda for promising NLP applications in marketing and provide supplementary code examples to help interested scholars to explore opportunities related to NLP in marketing.