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Researchers have found that enhanced self-determination can contribute to integrated employment and social inclusion outcomes for adults with disabilities. This chapter will provide an overview of the Self-determined Career Design Model (SDCDM) and research on its implementation. The SDCDM is an evidence-based career design model implemented by a facilitator (e.g. school professional, community service provider, or any supporter) to enable young people with disabilities to design their career trajectory. The SDCDM has the three phases: (1) set a goal, (2) take action and (3) adjust goal or plan. The SDCDM promotes social inclusion by enabling young people with developmental disabilities to leverage their strengths, interests and resources available to reach self-selected career-related goals. The chapter will specifically consider factors (e.g. culture, family background) that influence the development and expression of self-determination and goal-directed behaviour across the lifespan. A case study of the implementation of the SDCDM with two young women with developmental disabilities who participated in a larger study examining the impact of the SDCDM on employment outcomes will be used to demonstrate the use and impact of the model.

The purpose of this study is to examine the behavioral and emotional outcomes of nostalgic brand meanings derived from brand use that occurs in the early stages of a romantic relationship.

This research uses survey data (n = 656) and relies on structural equation modeling to test the hypotheses.

Relationship brand nostalgia has implications for how the relationship partners use the brand together as part of celebrating special occasions, how connected the brand is to their relational identity and how upset they would be if the brand was discontinued. Additionally, interpersonal relationship characteristics (relationship satisfaction and relationship power) influence these outcomes of relationship brand nostalgia.

The findings from this research show that it is important to account for real (experienced) brand nostalgia when considering behavioral and emotional implications of nostalgia in consumer–brand relationships. Specifically, brand use as part of early romantic relationship milestones influences the creation of nostalgic brand meanings, which in turn influence shared brand use, relational brand connections and brand separation distress.

Brand managers can increase relational brand connections and brand separation distress by encouraging shared brand use as part of romantic relationships milestones.

This research addresses gaps in extant research by examining the outcomes of relationship brand nostalgia, which is defined as brand nostalgia anchored in shared brand use that occurred as part of early relationship milestones.

This chapter addresses the alienability or inalienability of the bodily self by looking at continuing legal, economic, and cultural issues surrounding three case studies: the growth of cell lines, live organ transfer, and the practices of “forced prostitution” as a contemporary form of slavery. The essay contends that it is, ironically, Locke and Hegel's shared hyperliberal notion of the self as inalienable property that sustains a potential basis, in law and in culture, for troubling cases of self-alienation which persist in the case studies offered.

The purpose of this paper is to propose a Generic decision support system which is based on multi-Objective Optimisation for Green supply chain network design (GOOG). It aims to support decision makers to design their supply chain networks using three key objectives: the lowest cost and environmental impact and the shortest lead time by incorporating the decision maker’s inputs.

GOOG aims to suggest the best-fitted parameters for supply chain partners and manufacturing plant locations, their order allocations, and appropriate transportation modes and lot-sizes for cradle-to-gate. It integrates Fuzzy Goal Programming and weighted max-min operator for trade-off conflicting objectives and overcome fuzziness in specifying target values of individual objectives. It is solved using exact algorithm and validated using an industrial case study.

The comparative analysis between actual, three single-objective, and multi-objective decisions showed that GOOG is capable to optimising three objectives namely cost, lead time, and environmental impact.

Further, GOOG requires validation for different supply chain scenarios and manufacturing strategic decisions. It can improve by including multi-echelon supply chain networks, entire life cycle and relevant environmental legislations.

GOOG helps the decision makers to configuring those supply chain parameters whilst minimising those three objectives.

Companies can use GOOG as a tool to strategically select their supply chain that reduces their footprint and stop rebound effect which imposes significant impact to the society.

GOOG includes overlooked in the previous study in order to achieve the objectives set. It is flexible for the decision makers to change the relative weightings of the inputs for those contradicting objectives.

The purpose of this paper is to examine the way in which low‐performing schools and their district define, acquire, use, and diffuse research‐based evidence.

The mixed methods case study builds upon the prior research on research evidence and social networks, drawing on social network analyses, survey data and interview data to examine how educators in low‐performing schools and across the district use evidence (including which types and for what purposes), as well as the relationship between network structure and evidence use for school improvement.

Educators had narrow definitions of, and skepticism about, evidence, which limited its acquisition and use for school improvement. The authors found a lack of diffusion of evidence within schools and districtwide as a result of sparse connections among and between educators. Evidence was used in an instrumental, yet superficial, manner leading to weak interpretation of evidence and resulting in limited understanding of underlying problems and available solutions.

The paper suggests the importance of using social network analyses to examine the diffusion of evidence, as well as the need to better understand how evidence is defined and used.

It is necessary to pay greater attention to how educators acquire evidence, as well as the ways in which it is used to impact school‐based decisions in low‐performing schools and districts. Moreover, the work suggests the influence of the district office on school‐level reform.

The paper contributes to the research on low‐performing schools and accountability policy by examining the larger districtwide context and integrates social network, survey, and interview data.

The purpose of this paper is to develop an automated disassembly cell that is flexible and robust to the physical variations of a product. In this way it is capable of dealing with any model of product, regardless of the level of detail in the supplied information.

The concept of cognitive robotics is used to replicate human level expertise in terms of perception and decision making. As a result, difficulties with respect to the uncertainties and variations of the product in the disassembly process are resolved.

Cognitive functions, namely reasoning and execution monitoring, can be used in basic behaviour control to address problems in variations of the disassembly process due to variations in the product's structure particularly across different models of the product.

The paper provides a practical approach to formulating the disassembly domain and behaviour control of the cognitive robotic agent via a high‐level logical programming language that combines domain‐specific heuristic knowledge with search to deal with variations in products and uncertainties that arise during the disassembly process.

Full disassembly automation that is flexible and robust to the uncertainties that may arise potentially replaces human labour in a difficult and hazardous task. Consequently, the disassembly process will be more economically feasible, especially in developed countries.

The paper provides a practical approach to the basic cognitive functions that replicate the human expert's behaviour to the disassembly cell.

The purpose of this paper is to examine the mediating role of salespeople’s customer orientation on the relationship between sales manager personal characteristics, fellow salespeople’s characteristics, job satisfaction and adaptive selling and salespeople’s performance in the insurance industry in Jordan.

A structured and self-administered survey was employed targeting 500 insurance salespeople working at insurance companies operating in Jordan. The final sample size was 320 salespeople representing a response rate of 64 percent. A Confirmatory factor analysis was used to assess the research constructs dimensions, unidimensionality, validity and composite reliability. Structural path analysis was also used to test the hypothesized relationships of the research model.

The empirical findings indicate that salespeople’s customer orientation fully mediates the effect of fellow salespeople’s characteristics and adaptive selling on salespeople’s performance. Sales managers’ personal characteristics have a direct effect on salespeople’s performance, contrary to job satisfaction that had no effect on salespeople’s performance.

This paper has examined only five factors that affected directly and indirectly salespeople’s performance; meanwhile other factors may affect their performance, such as salespeople experience, internal marketing and corporate image. Additionally, the fact that paper’s sample consisted only of insurance salespeople working at insurance companies limits its generalization potential to other industries.

The findings emphasize the importance of fostering good relationships among fellow salespeople’s characteristics and adaptive selling strategies. Further, sales managers’ personal characteristics directly affecting salespeople’s performance signifies the importance to hire managers with the right personal approach.

This paper represents one of the early attempts that investigate factors affecting salespeople’s performance through the mediating role of customer orientation. Accordingly, the findings shed more light into the strategic role of this construct in enhancing salespeople’s performance. Also, the paper is the first of its kind to build and examine an integrated model of salespeople’s performance in the insurance market of Jordan, which provides valuable empirical evidence concerning the drivers of salespeople’s performance in the insurance industry in Jordan.

This chapter examines the influence of outsourcing on airlines’ performance from countries of the Asia Pacific region. Performance in the context of this study is drawn from productivity growth and technical efficiency scores that are calculated using the standard data envelopment analysis (DEA) approach. We utilize data from airlines over the period 2003–2011 and estimate the impact of outsourcing on productivity and technical efficiency using generalized method of moments (GMM) estimators. The findings from DEA reveal an improvement in the technical efficiency score of airlines from Asia Pacific. Nonetheless, productivity estimates indicate fluctuations in the productivity growth trend of airlines, attributable to global economic recession in 2007/2008. GMM estimation results, however, suggest negative impacts of outsourcing on technical efficiency and productivity of the airlines from Asia Pacific countries. We offer several explanations for these outsourcing findings. Heavy outsourcing of airlines activities particularly maintenance of aircraft may negatively affect aircraft utilization and ultimately erode the service level of airlines. The erosion of the service level of airlines would affect the demand for air travel in a downward manner, thereby lowering the technical efficiency and productivity of airlines. Also, relatively low labor costs enjoyed by airlines in the Asia Pacific region would suggest that having many airline activities in-house would save operating expenses attributable to labor costs.

This paper aims to develop methods for generating disassembly tasks for selective disassembly. The disassembly task contains the disassembly information, namely, disassembly direction, disassembly tool and selective disassembly sequence.

Ontology is adopted to represent the product, and ontology rules are used to represent the disassembly knowledge. A product ontology model (POM) is introduced on the basis of material, connection matrix and interference matrix. Two types of disassembly knowledge are taken into account, one is the disassembly knowledge of disassembly tool selection and the other is the disassembly knowledge of special connections. Based on the POM and the disassembly knowledge, decision support methods are designed to generate disassembly tasks.

A centrifugal pump is used to demonstrate the proposed methods, and the result shows that the methods work well.

The methods developed in this study are fundamental approaches. The ontology and the ontology rules can be extended with more disassembly knowledge.

The main contribution of this research is the development of methods for representing disassembly knowledge based on ontology rules and the decision support methods for generating disassembly tasks.

The rapid growth of credit card use in China poses the potential for card overuse and the accumulation of increased debt. The purpose of this paper is to report on an investigation into the determinants of overall credit card spending and card-financed debt by Chinese consumers.

This study focusses on two dependent variables: credit card monthly spending and card debt. The spending measure is based on consumer outlay for the month preceding the survey. Card debt is the consumers’ outstanding credit card debt when the survey was conducted. Three groups of independent measures are used: socio-demographic characteristics, card features and consumer attitude towards money. Both card spending and card debt are estimated with OLS methods. Data was obtained from the 2013 China Household Finance Survey of 1,920 households in 29 provinces and 262 counties across China that used credit cards over the survey period.

The empirical findings suggest consumers’ attitude towards money is more important in explaining card spending and debt variation than socio-demographic characteristics and card features. The credit limit set for a card, obligations to other loans and the method of paying for ordinary shopping exhibit positive effects on both card spending and card debt, while age exhibits a negative effect. Further, card spending is positively correlated with card debts, but the factors that determine card spending do not necessarily affect card debt and vice versa. Minimum card debt payments, cash advances, card tenure and interest-bearing debt have no effect on card spending but have positive effects on card debt. In addition, gender and income have opposite effects on card spending and debt.

The relationships we have documented suggest several actions the Chinese Government could consider dealing with credit card debt risk. Controlling the aggressive promotional campaigns that card issuers use to attract consumers and aggressive credit policies should be a focus of attention. The Chinese Government might, for example, impose minimum age and income requirements for granting credit cards and prohibit issuance of new cards to applicants who are already in debt with other types of credit. In addition, more stringent criteria to curb increases in card limits and tighter control over cash advances made on cards should be applied. Minimum payment amounts can also be increased in order to reduce credit card debt risk.

Despite ample documentation of consumers’ credit card behaviour, the literature is deficient in at least two areas of enquiry. First, most previous research has investigated either credit card spending behaviour or card debt, but not both. Second, with few exceptions, most research has investigated a range of specific factors that affect credit card use. In contrast, this study investigates card spending as well as card debt behaviour using a wide variety of consumer dimensions particularly relevant to credit card use and resulting debt. In addition, this study focusses on Chinese consumers, who traditionally prefer to save first and delay spending. The impact of the rapid growth of credit card use on this traditional Chinese orientation towards spending is dynamic. Documenting the influence of the individual factors examined in this study is likely to be of value to both policy makers and institutions that offer and manage credit in this changing environment.