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Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

The purpose of this paper is to introduce a hybrid framework (suppliers, inputs, process, output and customers+define, measure, analyze, improve and control (SIPOC+DMAIC)) aimed at improving supply chain management (SCM) process dimensions in a supply chain (SC) network.

Based upon the critical review of literature, process dimensions (average outgoing quality limit (AOQL), average outgoing quality (AOQ), process Z, defect per million opportunity) critical to SCM performance were identified. A framework consisting of three phases, i.e., design, implementation and results has been conceptualized and a case from paint industry is investigated. Implementation framework makes use of SIPOC model and Six Sigma DMAIC methodology. The goals of the study were achieved by using Six Sigma tools such as brainstorming sessions; root cause analysis, histograms, statistical tools such as control charts and process capability analysis.

Authors made an attempt to propose a conceptual framework for improving process dimensions in a SC network. It is observed from the results that selection of appropriate strategies for improving process performance based upon experiences, and use of statistical tools by cross-functional teams with an effective coordination, guarantees success. Metrics such as AOQL shows the maximum worst possible defective or defect rate for the AOQ. Process Z helps to know about sigma capability of the process.

The framework so developed is tested in a single company manufacturing batches of paint. The study has important implications for the industry since it tries to integrate SCM process dimensions which would help in successful implementation of SCM practices in firm by following the DMAIC process. The framework enables the practitioners to investigate the process and demonstrate improvements using DMAIC which makes use of statistical tools.

Although process dimensions related to SCM are critical to organization competitiveness, research so far has tended to focus on supply chain operations and reference model, balanced scorecard, total quality management, activity-based costing, just in time, etc., but in literature hardly any description of the SIPOC-DMAIC model to improve SCM process performance is provided. The use of statistics in DMAIC provides better insight into the process performance, and process control.

The purpose of this tri‐sectoral comparative study is to analyze the scope and content of vocational training policies, and their practical implications and outcomes for employers and employees at three French‐based companies, one in the pharmaceutical sector, the second in the consultancy and information technology sector, and the third in the automobile industry.

The paper is a qualitative study and relies on a cross‐fertilization of methods valorizing the triangulation approach: in‐depth informal interviews with different categories of personnel, participant and non‐participant observation, and documentary investigation.

Our results show that though the three companies investigated rank as training friendly organizations both in terms of the level of financial investments and training densities, these statistical regularities mask significant qualitative differences. The focus, goals, opportunities and outcomes of training policies at the three firms share few common attributes. The paper goes on to propose a typology identifying three types of training organisations: skill up‐dating, learning, and capability enhancing.

The paper demonstrates that product specificities and the technology associated with it matter less than the system of work organisation and the mode of management in determining the scope and content of training programmes as well as their outcomes in matters of professional development. Whereas researchers have invariably monopolized the term of learning organizations to designate service‐sector corporations, staffed by highly skilled workforces, operating at the core of the knowledge economy, our findings shows that even neo‐taylorist industrial firms can justifiably qualify to be learning organizations. Finally, the paper proposes a comprehensive analytical grid to facilitate further qualitative research in the field of vocational training.

This paper aims to examine how Chinese apparel retailers manage their production outsourcing risks and why they elect to manage those risks in a particular manner.

The investigation used the case study approach to explore factors driving two Chinese apparel retailers operating in different market environments to manage their production outsourcing risks.

The selection of production outsourcing risk management strategies hinges on what apparel retailers view as the most important value their products provide to customers. Product values were linked to specific product characteristics as well as the market environment in which the apparel retailers operated. The retailer that regarded product quality as a key value driver was found to place emphasis on manufacturer selection and use of a formal contract for process control. The retailer that viewed newness and variety as a value driver opted to cultivate a strong, committed business relationship based on Guanxi to achieve speed‐to‐market.

As a case study research, the findings of this study have their limitations in generalisability. Given that one of the retailers did not invoke Guanxi to cultivate a long‐term business relationship with its outsourced manufacturers, the role of Guanxi in outsourcing risk management in China deserves further exploration, as businesses in China become more globalised.

This study grounds mainstream outsourcing strategy literature on operational practice through case studies. It highlights the influence of both product characteristics and market environment in dictating the choice of outsourcing risk management strategies in apparel manufacturing.

The study views outsourcing risk management from the perspective of minimizing outsourcing failures, rather than achieving outsourcing success. It reveals that risk management behavior of apparel retailers was linked to the notion of value protection, which varied according to what they considered as their principal product value drivers.

This paper aims to identify the current research trends and set the future research agenda in the area of human resource (HR) analytics by an extensive review of the existing literature. The paper aims to capture state of the art and develop an exhaustive understanding of the theoretical foundations, concepts and recent developments in the area.

A portfolio of 125 articles collected from the Scopus database was systematically analyzed using a two-tier method. First, the evolution, current state of the literature and research clusters are identified using bibliometric techniques. Finally, using content analysis, the research clusters are studied to develop the future research agenda.

Based on the bibliometric analysis, network analysis and content analysis techniques, this study provides a comprehensive review of the existing literature. The study also highlights future research themes by identifying knowledge gaps based on content analysis of research clusters.

The evolution and the current state of the HR analytics literature are presented. Some specific research questions are also provided to help future research.

This study enriches the literature of HR analytics by integrating bibliometric analysis and content analysis to develop a more systematic and exhaustive understanding of the research area. The findings of this study may assist fellow researchers in furthering their research in the identified research clusters.

This study aims to offer a holistic halal cosmetic consumption framework by describing the current knowledge about halal cosmetics and presenting new directions for future research.

The theory, method and context–attributes, decision and outcome systematic review framework was used in this study. This study addresses the halal cosmetics literature published in the Scopus database: nonpredatory journals between 2010 and 2021.

This study found seven antecedent categories that affect four halal cosmetics consumption decisions. Those decisions led to three outcomes. In addition, behavioral theories were identified as the most frequent theory used to explain this phenomenon in personal and business settings.

To the best of the authors’ knowledge, this is the first systematic review of halal cosmetics consumption. This study explores the relevant theories, contexts, methods, antecedents and consumer decisions. Therefore, this study offers important insights into this phenomenon.

This study aims to contribute to the discussion on the interplay between music and destination advertising by exploring the roles of music in destination promotional videos (DPVs).

Eight focus group discussions on DPVs about Budapest (Hungary) were assessed through thematic analysis. Individuals’ interactions with and perceptions of advertising can be explored in depth through the former, whereas the latter allowed to identify the roles of music in DPVs.

Results show that music plays a very important role in DPVs in which it acts as a conveyor. Viewers associate a DPV’s musical elements and genre with a destination’s character. Here, the use and remix of traditional music was felt to be controversial because of its ability to communicate cultural identity. The music caught the audience’s attention, elicited emotions in them and made them think about the destination in question. An original music track can make a video memorable.

A convenience sample was used with international and Hungarian university students for the focus groups.

Music is a powerful conveyor of the particular characteristics of a destination and if the structural elements of music, such as tempo, rhythm and dynamics, are chosen appropriately, tourism marketers can create compelling promotional videos. By recognising that different audiences are attracted by different genres of music, marketers can target specific tourist segments. Furthermore, tourism marketers are advised to ask locals’ opinions about which music best represents their city’s cultural identity.

Through an understanding of the important role of music in DPVs, this study provides a novel insight into assessing young people’s cognitive and affective responses to music in promotional videos.