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This paper aims to explore the pathways of carbon transfer in 200 US corporations along with the motivations that drive such transfers. The particular focus is on each firm’s embeddedness in the global value chain (GVC) and the influence of environmental law, operational costs and corporate social responsibility (CSR). The insights gleaned bridge a gap in the literature surrounding GVCs and corporate carbon transfer.

The methodology comprised a two-step research approach. First, the authors used a two-sided fixed regression to analyse the relationship between each firm’s embeddedness in the GVC and its carbon transfers. The sample consisted of 217 US firms. Next, the authors examined the influence of environmental law, operational costs and CSR on carbon transfers using a quantitative comparison analysis. These results were interpreted through the theoretical frameworks of the GVC and legitimacy theory.

The empirical results indicate positive relationships between carbon transfers and GVC embeddedness in terms of both a firm’s position and its degree. From the quantitative comparison, the authors find that the pressure of environmental law and operational costs motivate these transfers through the value chain. Furthermore, CSR does not help to mitigate transfers.

The findings offer insights for policymakers, industry and academia to understand that, with globalised production and greater value creation, transferring carbon to different parts of the GVC – largely to developing countries – will only become more common. The underdeveloped nature of environmental technology in these countries means that global emissions will likely rise instead of fall, further exacerbating global warming. Transferring carbon is not conducive to a sustainable global economy. Hence, firms should be closely regulated and given economic incentives to reduce emissions, not simply shunt them off to the developing world.

Carbon transfer is a major obstacle to effectively reducing carbon emissions. The responsibilities of carbon transfer via GVCs are difficult to define despite firms being a major consideration in such transfers. Understanding how and why corporations engage in carbon transfers can facilitate global cooperation among communities. This knowledge could pave the way to establishing a global carbon transfer monitoring network aimed at preventing corporate carbon transfer and, instead, encouraging emissions reduction.

This study extends the literature by investigating carbon transfers and the GVC at the firm level. The authors used two-step research approach including panel data and quantitative comparison analysis to address this important question. The authors are the primary study to explore the motivation and pathways by which firms transfer carbon through the GVC.

The purpose of this paper is to propose the complementary design rules, give a quantitative comparison and analyze the force production mechanism of two kinds of primary wound field flux-switching linear (PWFFSL) motors.

PWFFSL motors have the merits of no use of rare-earth magnet, low cost and a wide operation range in which the armature windings and the field windings are all located at the short primary mover and the secondary is very robust. Hence, the PWFFSL motor is ideal for rail transportation systems which need a long stator and a wide speed range. To overcome the disadvantages of the existing PWFFSL motors, new complementary design rules will be proposed. Also, to offer a better PWFFSL motor for the rail transportation systems, it is necessary to investigate different structures of PWFFSL motors and give a comprehensive comparison. To predict the force performance of two kinds of PWFFSL motors with different secondary types, their flux density analysis and force production mechanism will be presented and compared.

The comparison result shows that the PWFFSL motor with toothed secondary can offer larger thrust force, higher force density and higher efficiency, whereas the PWFFSL motor with segmented secondary has the merits of lower force ripple, less use of stator iron, higher power factor and less critical saturation.

Many PWFFSL motors with different primary/secondary pole pitches based on the proposed design principle have not been considered in this paper.

This paper has presented the air-gap flux analysis, proposed the complementary design rules for two kinds of PWFFSL motors with different secondary types and compared the electromagnetic performance of the two motors.

Attaining high response rates in survey‐based supply chain management (SCM) research is becoming increasingly difficult, but small samples can limit the reliability and validity of empirical research findings. The purpose of this article is to analyze the status quo and provide a discussion of methodological issues related to the use of small samples in SCM research.

An in‐depth review of 75 small sample survey studies published between 1998 and 2007 in three journals in the field that frequently publish survey‐based research papers (TJ, IJPDLM, and JBL) was conducted, and key characteristics of these studies were compared with the characteristics from 44 small sample survey studies published in leading operations management (JOM) and management (AMJ) journals.

The review of papers published in TJ, IJPDLM, and JBL shows that small samples are frequently used in SCM research. This study provides an overview of current practices, opportunities for improvement, and a number of specific recommendations that may help increase the analytical rigor of (future) survey‐based studies that rely on small samples.

The recommendations provided in this article can greatly benefit researchers in the field of SCM. By following these proposals, the reliability and validity of research findings will be increased, researchers will be better equipped to investigate interesting questions where small samples are the norm rather than the exception (e.g., the study of dyadic supply chain relationships), and important and valid contributions to the theory and practice of SCM will be generated.

The study aims to present a logic map linking the Professional Development School (PDS) Nine Essentials as a PDS theory of action and offer an analysis of dissertations that compare outcomes of learning in PDS and non-PDS contexts.

For this current study, the authors identified 25 of the 210 dissertations from a larger study that used a comparison methodology to provide a window into how learning in PDS and non-PDS settings may differ. In reviewing these comparison studies, the authors identified a set of clustered themes, as well as a variety of comparison constructs and measurements researchers used to determine the impact of PDS.

Five themes emerged including (1) the experience of learning to teach in a PDS setting vs. a non-PDS; (2) the experience of teaching in a PDS vs. non-PDS; (3) teacher candidate quality in a PDS vs. non-PDS; (4) teacher quality in a PDS vs. non-PDS; (5) school leader quality in a PDS vs. non-PDS; and (6) K-12 student learning in PDS vs. non-PDS.

Limitations of this study include the complications related to comparison, logic-related fallacies and the complexity of capturing simultaneous renewal.

In the 30th year of PDS work, the study utilizes a theory of action comprised of linking the PDS Nine Essentials to situate the comparison dissertation analysis of outcomes in PDS and non-PDS contexts suggesting challenges and possibilities and perhaps a direction for new research questions.

Based on social representation theory, this study aims to evaluate and analyze the similarities and differences between social representations of climate change held by people living in two territories, which have in common that they are exposed to coastal risks but have different socio-cultural contexts: on the one hand, Cartagena (Colombia) and on the other, Guadeloupe (French overseas department, France).

A double approach, both quantitative and qualitative, of social representation theory was adopted. The data collection was undertaken in two phases. First, the content and organization of social representation of climate change (SRCC) was examined with a quantitative study of 946 participants for both countries, followed by a qualitative study of 63 participants for both countries also.

The study finds unicity in the SRCC for the quantitative study. In contrast, the qualitative study highlights differences at the level of the institutional anchoring of the climate change phenomenon in these two different socioeconomic and political contexts.

These results are relevant for a reflection in terms of public policies for the prevention and management of collective natural risks, as well as for the promotion of ecological behavior adapted to political and ideological contexts.

The use of a multi-methodological approach (quantitative and qualitative) in the same research is valuable to confirm the importance of an in-depth study of the social representations of climate change because of the complexity of the phenomenon.

Social media is noted for its usefulness and contribution to destination marketing and management. Social media data is particularly valued as a source to understand issues such as tourist behavior and destination marketing strategies. Among the social media platforms, Twitter is one of the most utilized in research. Its use raises two issues: the challenge of obtaining historical data and the importance of qualitative data analysis. Regarding these issues, the chapter argues that retrieving tweets using hashtags and keywords on the Twitter website provides a corpus of tweets that is valuable for research, especially for qualitative inquiries. In addition, the value of qualitative analysis of Twitter data is presented, demonstrating, among other things, how such an approach captures in-depth information, enables appreciation and inclusion of the nonconventional language used on social media, distinguishes between “noise” and useful information, and recognizes information as the sum of all parts in the data.

The purpose of this paper is to identify and characterize different work value patterns empirically. Furthermore, it is analyzed how these patterns are distributed in different countries and how they change in the course of time.

Latent class analysis as an advanced clustering procedure was applied. The empirical analysis is based on data from the International Social Survey Program from three time periods (1989, 1997 and 2005), covering five countries (USA, Great Britain, West Germany, Norway and Hungary).

The analysis reveals four distinct work value patterns among employees: “moderate demanders”, “high demanders”, “post modern demanders” and “income and security demanders.” The affiliation to these patterns depends on gender, generational membership, education, occupation and nationality. The historical analysis reveals considerable variety in cross-national developments.

The work value patterns identified have implications for recruitment, employee motivation and international HRM strategies. Management needs to be aware of work value patterns in the workforce in order to avoid mismatches and their negative consequences. If mismatch is unavoidable, the paper highlights the need to proactively manage mismatches between work value patterns and workplace situation.

The authors argue that different work values are not independent of each other. Instead, they seem to have systematic interrelations and exist in specific patterns. Accordingly different segments within the labor force can be characterized by specific combinations of work values. This is highly relevant because it could help to customize HR instruments and incentives.

The flow phenomenon of particle image velocimetry has revealed the transition process of the complex multi-scale vortex between the boundary layer and mainstream region. Nonetheless, present computational fluid dynamics methods inadequately distinguish the discernable flows in detail. A multi-physical field coupling model, which was applied in rotor-stator fluid machinery (Umavathi, 2015; Syawitri et al., 2020), was put forward to ensure the identification of multi-scale vortexes and the improvement of performance prediction in torque converter.

A newly-developed multi-physical field simulation framework that coupled the scale-resolving simulation method with a dynamic modified viscosity coefficient was proposed to comparatively investigate the influence of energy exchange on thermal and flow characteristics and the description of the flow field in detail.

Regardless of whether quantitative or qualitative, its description ability on turbulence statistics, pressure-streamline, vortex structure and eddy viscosity ratio were visually experimentally and numerically analyzed. The results revealed that the modification of transmission medium viscous can identify flows more exactly between the viscous sublayer and outer boundary layer. Compared with RANS and large eddy simulation, a stress-blended eddy simulation model with a dynamic modified viscosity coefficient, which was further used to achieve blending on the stress level, can effectively solve the calculating problem of the transition region between the near-wall boundary layer and mainstream region.

This indeed provides an excellent description of the transient flow field and vortex structure in different physical flow states. Furthermore, the experimental data has proven that the maximum error of the external performance prediction was less than 4%.

An improved model was applied to simulate and analyze the flow mechanism through the evolution of vortex structures in a working chamber, to deepen the designer with a fundamental understanding on how to reduce flow losses and flow non-uniformity in manufacturing.

This paper presents a mixed methodology to map and analyse the spatial connectivity of the everyday pathways that link the doorway of an individual's home–work locations to the local main commercial street. These pathways include public streets, semi-private lanes, alleys and stairs.

Pathways within different morphological areas in Hanoi, Vietnam, are used as examples to illustrate the development and application of the methodology. The methodology, adapted from Conzenian, typological, and space syntax methods, combined with observations and interviews, seeks to overcome several identified limitations of each of these approaches for understanding pedestrians' horizontal and vertical movement patterns within urban settings.

Analytical diagrams of pathways are developed on figure-ground maps of the neighbourhoods and three-dimensional projections of circulation spaces within buildings. Scatter plots are used to analyse the distribution of collected samples according to their business types and distances to local main streets. Field observations and interviews with homeowners revealed the critical influence of the pathways' spatial characteristics on home-based businesses' operations.

The methods developed here are potentially useful for urban morphologists and urban designers in decoding the intricacies of informal urban settings and understanding their socio-economic significance for users.

This paper aims to develop a crisis readiness framework for road traffic crisis response for law enforcement agencies in the United Arab Emirates (UAE).

A Delphi method was used that combined questionnaire-based survey and the analytical hierarchy process to collect quantitative and qualitative data from an expert panel of crisis readiness professionals on how they prioritise and weigh the different strategic criteria, sub-criteria and performance indicators in the context of law enforcement agencies’ traffic response.

The findings of this paper resulted in the identification, ranking and validation of ten key dimensions of crisis readiness clustered into three distinct sets of priority rankings: response planning, resources, training and coordination; information management and communication and risk and hazard assessment; and early warning, legal and institutional frameworks, recovery initiation and property protection. The results additionally established the relative priority of sub-criteria for each criterion and validated a broad set of key performance indicators (KPIs) for the top six ranked criteria.

The findings are based on a single case study focused on a specific area of operation within crisis response and one group of organisations of the UAE police sector. This potentially places a constraint on the wider generalisation of the findings to different operational areas and agencies, as they may have different priorities or organisational conditions that have implications for the framework application and the relative importance of certain criteria and sub-criteria.

This paper provides strategic guidance in the form of a prioritised list of criteria, sub-criteria and KPIs that can direct efforts to optimise different dimensions of crisis readiness at a strategic and operational level.

This paper makes an original contribution in identifying the key criteria and performance indicators of crisis readiness for road traffic situations. The findings contribute a comprehensive strategic readiness framework that supports planning and decision-making for the development of organisational capacities that can enhance response times of police to road traffic crises. This framework ranks dimensions of crisis readiness and key sub-criteria in order of priority and validates the key components of crisis readiness that can support practitioners to structure, standardise and benchmark key processes and elements of crisis response.