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We explored social studies teachers’ dispositions towards working with immigrant students in an Atlantic new gateway state. We surveyed 99 middle and high school social studies teachers using the additive versus subtractive models as a theoretical framework. Although teachers’ professional backgrounds and school contexts were connected to teaching inclusively, their academic expectations of immigrant students, their beliefs on assimilation (regarding schools’ and teachers’ roles in maintaining heritage cultures and languages), and their opinions on the effective implementation of school policies concerning immigrant students’ learning were significant contributors to teaching inclusiveness.

This chapter traces one student teacher's (Joan) experiences of learning to teach English as a second language in a cross-cultural context during a teaching practicum in Hong Kong. The school-based practicum is a core component of many initial teacher education programmes. During this induction period, usually an 8-week block, student teachers are placed in local schools to learn how to integrate theories into practice in real teaching situations. Specifically, I uncover how Joan grappled with the tensions and complexities of teaching young learners from a different cultural and linguistic background, in a small elementary school situated in the borderland between Hong Kong (an autonomous region of China) and Shenzhen (a province of Mainland China).

Critical incidents from Joan's practicum experiences were analysed to uncover how she dealt with the tensions and dilemmas in confronting difference and marginalising practices while learning to teach English as a second language (ESL) in the practicum school. Implications on how to develop initial teacher education programmes so that student teachers learning to teach across cultural contexts can be encouraged to explore, confront and ‘deal with the emotional terrain of understanding difference’ will be discussed (Boler & Zembylas, 2003, p. 123; Zembylas, 2010).

Many market examples show that consumers are willing to pay a premium for “green” products and services. The purpose of this paper is to gain some insight into how consumers respond to green alternatives, and examine how managers can best position their green products to maximize the premium consumers are willing to pay.

A series of behavioral experiments was conducted to demonstrate how the green product's characteristics are framed significantly affects the size of the “green premium” consumers are willing to pay.

The results show that positive framing (focusing on the advantages of the green product) works best for environmentally conscious consumers while negative framing (focusing on avoiding the disadvantages of the non‐green product) works best for less environmentally conscious consumers. Additionally, subtractive price framing which focuses on the discount consumers would pay for the non‐green product alternative results in a higher green premium than additive price framing which focuses on the additional price consumers would pay for the green choice, and especially so for less environmentally conscious consumers.

Overall, the results suggest that green firms can maximize the green‐pricing premium by careful targeting of consumers and framing their products appropriately.

This paper explores how the difference between the green versus non‐green alternative can be framed in different ways, and interact with the consumer's level of environmental consciousness, to influence the “green premium,”, i.e. how much more consumers are willing to pay for the green alternative relative to a comparable non‐green alternative.

The purpose of this paper is to present an algorithm for an additive/subtractive rapid pattern manufacturing (RPM) process where thick slabs of material are sequentially stacked and then cut to 3D shapes. Unlike traditional rapid prototyping processes where layer thickness is typically uniform, this process is able to vary the layer thickness in order to most effectively generate feature shapes.

This paper discusses the factors affecting layer thickness decisions and then presents an algorithm to determine layer thicknesses for a given part model. The system is designed to import a computer‐aided design file and use the algorithm to automatically generate the set of layers based on the slab height, material and bonding properties and the process parameters used in the system.

The layer thickness algorithm is implemented and tested using an additive/subtractive manufacturing system developed in the laboratory. The algorithm has proved effective in determining appropriate layer heights for thick slab machining, taking into account a variety of geometries. Several sand casting patterns have been successfully created using the proposed system, which could significantly improve traditional sand casting pattern manufacturing.

The proposed RPM process is a new process presented by the authors, developed for rapid sand castings. The layer thickness algorithm is an original contribution that enables automatic process planning for this new process.

The aim of this article is to examine the interaction effect of customization mode and regulatory focus on the “tailoring” outcomes of customized services in both the number of options retained and consumer evaluations.

Two experiments investigate the interaction between customization mode and consumer regulatory focus, together with mediating and moderating factors.

An interaction effect of customization mode and regulatory focus exists: it significantly influences the number of options retained, and prevention‐focused consumers retain more options in the final customized offering than promotion‐focused consumers in subtractive customization, whereas this effect is reduced in additive customization; it significantly affects how consumers evaluate the customization service with regard to task enjoyment and attitudes toward products; and it is fully mediated by task enjoyment and positively moderated by product familiarity.

This article provides an important contribution to service customization design and regulatory focus theory by shedding light on the interaction between customization mode and consumer regulatory focus and revealing how this interaction affects the decision outcomes of customization services.

The purpose of this paper is to examine the cross‐cultural generalization of the effect of option choice framing on product option choices and other managerial and psychological variables.

The experiment employs 124 Singaporean and 96 Thai working adults, who add options to a base model or delete options from a full model in a condominium purchase scenario. Hypotheses are derived from the different weights for monetary losses and utility gains from adding options vs utility losses and monetary gains from deleting options.

For both Singaporeans and Thais, compared to additive framing, subtractive framing results in a higher number of options chosen, higher total option prices, higher expected product prices and higher perceived product prestige. For Thais, compared to additive framing, subtractive framing also results in lower perceived decision difficulty and shorter decision time. For Singaporeans, compared to additive framing, subtractive framing results in shorter decision time and higher perceived value.

The option choice task is a scenario, not a real‐life choice task in which participants have to spend real money.

Subtractive option choice framing should be used rather than additive option choice framing. However, in recession time, the use of subtractive framing may backfire because consumers perceive the product as more expensive than its counterpart presented under additive framing, thus lowering their purchase intention of the product. In addition, whenever marketers want consumers to perceive the starting price as low, the price of a base model should be emphasized as opposed to the price of a full model.

This study examines an important issue – whether the superiority of subtractive framing over additive framing reported in past research is valid in other cultures that are very different from American and whether it is valid in another product category. The results qualify past findings that people give more weight to utility losses than monetary losses.

The purpose of this paper is to relate additive manufacturing (AM) and machining (CNC) synergistically in a modular approach in the design and manufacturing domains, to generate value for end‐users and manufacturers (a teleological system).

The research methodology decomposes a part into modules, by employing a teleological systems theory approach paired with principles of modular design. Modules are manufactured with either additive manufacturing (fused deposition modeling, FDM) or machining (CNC). Process selection is determined by a decision‐making framework that quantifies strength and weakness comparisons of FDM and CNC machining processes, accomplished using the analytic hierarchy process (AHP).

The developed methodology and decision‐making framework is successfully applied to the design and manufacturing of a large, complex V6 engine section sand casting pattern. This case study highlights the merits of the research.

The research assumes that the processes being considered are capable of meeting the product functional requirements. The proposed methodology can be extended to evaluate additional processes.

Value is assessed in this research relative to: time and cost opportunities, managing knowledge limitations of a process by leveraging hybrid options, and aligning design and manufacturing to create a product that accomplishes the goals of the end‐user (teleological effectiveness).

Utilizing the AHP process and a teleological perspective are new, and proven effective, approaches in relating additive and subtractive processes in a hybrid approach with end‐user perspectives. The research demonstrates a systematic methodology to quantify additive and subtractive process selection.

The purpose of this study is, to compare laser-based additive manufacturing and subtractive methods. Laser-based manufacturing is a widely used, noncontact, advanced manufacturing technique, which can be applied to a very wide range of materials, with particular emphasis on metals. In this paper, the governing principles of both laser-based subtractive of metals (LB-SM) and laser-based powder bed fusion (LB-PBF) of metallic materials are discussed and evaluated in terms of performance and capabilities. Using the principles of both laser-based methods, some new potential hybrid additive manufacturing options are discussed.

Production characteristics, such as surface quality, dimensional accuracy, material range, mechanical properties and applications, are reviewed and discussed. The process parameters for both LB-PBF and LB-SM were identified, and different factors that caused defects in both processes are explored. Advantages, disadvantages and limitations are explained and analyzed to shed light on the process selection for both additive and subtractive processes.

The performance of subtractive and additive processes is highly related to the material properties, such as diffusivity, reflectivity, thermal conductivity as well as laser parameters. LB-PBF has more influential factors affecting the quality of produced parts and is a more complex process. Both LB-SM and LB-PBF are flexible manufacturing methods that can be applied to a wide range of materials; however, they both suffer from low energy efficiency and production rate. These may be useful when producing highly innovative parts detailed, hollow products, such as medical implants.

This paper reviews the literature for both LB-PBF and LB-SM; nevertheless, the main contributions of this paper are twofold. To the best of the authors’ knowledge, this paper is one of the first to discuss the effect of the production process (both additive and subtractive) on the quality of the produced components. Also, some options for the hybrid capability of both LB-PBF and LB-SM are suggested to produce complex components with the desired macro- and microscale features.

This study aims to discuss the state-of-the-art digital factory (DF) development combining digital twins (DTs), sensing devices, laser additive manufacturing (LAM) and subtractive manufacturing (SM) processes. The current shortcomings and outlook of the DF also have been highlighted. A DF is a state-of-the-art manufacturing facility that uses innovative technologies, including automation, artificial intelligence (AI), the Internet of Things, additive manufacturing (AM), SM, hybrid manufacturing (HM), sensors for real-time feedback and control, and a DT, to streamline and improve manufacturing operations.

This study presents a novel perspective on DF development using laser-based AM, SM, sensors and DTs. Recent developments in laser-based AM, SM, sensors and DTs have been compiled. This study has been developed using systematic reviews and meta-analyses (PRISMA) guidelines, discussing literature on the DTs for laser-based AM, particularly laser powder bed fusion and direct energy deposition, in-situ monitoring and control equipment, SM and HM. The principal goal of this study is to highlight the aspects of DF and its development using existing techniques.

A comprehensive literature review finds a substantial lack of complete techniques that incorporate cyber-physical systems, advanced data analytics, AI, standardized interoperability, human–machine cooperation and scalable adaptability. The suggested DF effectively fills this void by integrating cyber-physical system components, including DT, AM, SM and sensors into the manufacturing process. Using sophisticated data analytics and AI algorithms, the DF facilitates real-time data analysis, predictive maintenance, quality control and optimal resource allocation. In addition, the suggested DF ensures interoperability between diverse devices and systems by emphasizing standardized communication protocols and interfaces. The modular and adaptable architecture of the DF enables scalability and adaptation, allowing for rapid reaction to market conditions.

Based on the need of DF, this review presents a comprehensive approach to DF development using DTs, sensing devices, LAM and SM processes and provides current progress in this domain.