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In this paper, a CAD‐based integration method for analyzing and verifying robotic mechanisms design is proposed. The work is motivated by the fact that current structural design of complex mechanisms still requires substantial efforts of human intervention even with CAD assistance.

It is accomplished by blending the unique capabilities of two popular engineering CAD packages, namely, the mathematical computations in Matlab and the virtual prototyping functions in Pro/Mechanica. Here we take advantage of the numerical computation capability of Matlab to complete the first portion of design tasks. Consequently, the proposed integration of these two CAD tools comes into play, which involves writing the joint angle values calculated from Matlab to.tab text files first. These.tab files are then directly used as the input for joint angles' drivers in Pro/Mechanica's virtual motion analysis function.

The proposed method realizes design automation of robotic mechanisms and provides design flexibility by allowing the designers to change designated critical design parameters rather easily and quickly within the blended Matlab and Pro/Mechanica design environment. The results demonstrate that the design process of robot manipulators can be largely automated by using the integrated CAD means proposed in this paper. Thus, the contributions of the work in design cost saving, performance verification, structural flexibility, as well as assembly dynamics are all evidenced.

Future research will consider the generalization of the methodology to include dynamics aspect for design of complicated mechanisms.

To show the efficiency and effectiveness of the proposed method, several case studies are conducted aimed at the design analysis and verification of a six degree‐of‐freedom PUMA industrial robot.

The proposed method realizes design automation of robotic mechanisms and provides design flexibility by allowing the designers to change designated critical design parameters rather easily and quickly within the blended Matlab and Pro/Mechanica design environment. As a result, it greatly reduces total design cycle time of complex mechanisms.

In this chapter, we present a case study that explicates the work that two Black boys undergo to write their narratives despite the low expectations of their academic abilities espoused by their White teacher. Orienting ourselves within a critical race theory framework, we relied upon storytelling to tell the stories of John and Seth, two young Black boys whose science interests fueled their engagement across school subjects despite the semantic deficit-oriented positioning of their academic abilities by the White teachers and staff within their school. Throughout this chapter, we center their experiences to argue that understanding the inherent underrepresentation of Black men in science-based professions requires an examination of the pivotal educational moments preceding this disparity. Rich and culturally responsive science teaching may support equity for Black boys, but John and Seth's stories illustrate that these practices alone will only perpetuate the status quo unless teachers challenge their dispositions regarding who their students are and what they are capable of. We conclude by offering suggestions for practitioners to consider when designing and implementing equitable student-centered science instruction.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

Major concern over monopolies and trusts was one of the distinguishing marks of the American Economic Association from its foundation and lasted well into the early 1900s (Coats, 1960). The failed merger attempt of the Northern Securities Company and the subsequent panic of 1902–1903, the 1907 financial crisis and its aftermath, as well as the ostensibly illegal financial practices of many conglomerates, all contributed to keep the trusts issue alive on academic circles. But it was only after the 1911 Court decisions that the debate on the trust problem and the necessary measures to amend the existing antitrust legislation acquired new vigor and incisiveness.³

This chapter develops a predictive approach to Granger causality (GC) testing that utilizes k -fold cross-validation and posterior simulation to perform out-of-sample testing. A Monte Carlo study indicates that the cross-validation predictive procedure has improved power in comparison to previously available out-of-sample testing procedures, matching the performance of the in-sample F-test while retaining the credibility of post- sample inference. An empirical application to the Phillips curve is provided evaluating the evidence on GC between inflation and unemployment rates.

A number of multidimensional poverty measures that respect the ordinal nature of dimensions have recently been proposed within the counting approach framework. Besides ensuring a reduction in poverty, however, it is important to monitor distributional changes to ensure that poverty reduction has been inclusive in reaching the poorest. Distributional issues are typically captured by adjusting a poverty measure to be sensitive to inequality among the poor. This approach, however, has certain practical and conceptual limitations. It conflicts, for example, with some policy-relevant measurement features, such as the ability to decompose a measure into dimensions post-identification and does not create an appropriate framework for assessing disparity in poverty across population subgroups. In this chapter, we propose and justify the use of a separate decomposable inequality measure – a positive multiple of “variance” – to capture the distribution of deprivations among the poor and to assess disparity in poverty across population subgroups. We demonstrate the applicability of our approach through two contrasting inter-temporal illustrations using Demographic Health Survey data sets for Haiti and India.

Purpose: The main goal of this discussion is to explain how competitiveness could be an important source of knowledge and economic power in a society, especially in the period of higher demands on knowledge, innovation and organisational base growth. Our focus of the discussion will be tourism as an important service sector economic activity in countries all over the world.

Methodology: The chapter will be conceptually based on its goal to develop the theories of competitiveness and to discuss how competitiveness influences knowledge, organisational processes and forms with a focus on tourism services.

Findings: Competitiveness in tourism depends on many factors. As an intangible source of knowledge, organisational culture processes and organisational forms generally influences tourism activity. For this reason, not only is comparative advantage important in the competitiveness concept, but also competitive advantage and the way of deploying resources play an important role.

Significance: Resources are not only based on labour, capital and land (neoclassical theory approach), but resource-advantage theory underlines the importance of financial, physical, legal, human, organisational, informational and relational capital. In this process, new processes and organisational forms must be created, as well as innovative approaches to processes and the importance of knowledge capital.

Practical Implications: New ideas about this process could be helpful for researchers and practitioners to recognise the importance of competitiveness for their work and research.

The purpose of this paper is to (1) characterize representational and nonrepresentational images; (2) review the literature on representational and nonrepresentational images; (3) introduce the theory of consumption values (TCV) framework vis-à-vis representational and nonrepresentational images; and (4) generate propositions and questions for future research based on that intersection.

Conceptual/literature review with propositions and future research directions.

The authors offer nine propositions and several associated example research questions to explore and document the important ways in which representational and nonrepresentational images can affect the five dimensions of value as outlined in the TCV.

It is the hope that this work serves as a theoretical starting point – surely, there are other theories and frameworks beyond the TCV that may share ties with types of images, which scholars should be encouraged to explore, but if the authors had attempted to document every possible theory, the result would be a limitless document. As such, the authors have honed the efforts on a broad-reaching framework, the TCV, in the attempt to balance theoretical insights with parsimony. Through exploration of these and other avenues, the authors hope that scholars and practitioners alike will benefit from elucidation of theories and effects around representational and nonrepresentational images.

Several practical implications flow from the dimensions and propositions within this work.

Representational and nonrepresentational images have featured prominently throughout visual content and communications for centuries, yet the current body of literature remains scant and underdeveloped in its relationship to marketing. The present work addresses this gap by using the TCV as an overarching framework to generate propositions and future research questions.