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The purpose of this paper is to test the hypothesis that savers may be substituting equity capital gains from stockholdings for traditional measures of personal saving. The analysis also aims to investigate dividend yield (DY) as a signal to investors about corporate saving rates (CSRs).

Regression analysis is used to examine the relationship between personal saving and corporate saving. The personal saving rate (PSR) is the dependent variable while three measures of corporate saving (S&P500 corporate saving rate (SPSR), S&P500 DY and national income and product accounts (NIPA) CSR) alternatively serve as the independent variable.

The results confirm that personal saving is negatively related to corporate saving for large‐cap publicly traded firms. The study also finds a significant positive relationship between DY and PSR, offering support that DY provides an observable signal about corporate saving.

The relationship between personal and CSRs is found to be robust through time. However, the downward spiral the US economy is experiencing today will provide unique and interesting data for examining the relationship in future studies.

This analysis differs from previous approaches by utilizing retained earnings, rather than stock market capital gains, to measure corporate saving, and provides new evidence that individuals substitute corporate saving for personal saving. The alarm expressed by the media and government over falling PSRs may not be warranted. Individuals appear to adjust personal rates to reflect the changes in corporate saving and reach the total saving rate that is optimal.

Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator.

The study draws on the emerging literature on big data, the resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model.

The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented.

The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.

This study aims to empirically connect green logistics performance, renewable energy, non-renewable energy, CO₂ emissions and gross domestic product in Vietnam from 2000 to 2022.

Within this study, the author uses innovative tools, specifically a R2 decomposed linkage method, to scrutinize the connections between green logistics, environmental issues and the use of green and dirty energy.

The results highlight the two-way relationship between green logistics and energy security in Vietnam. Green logistics plays various roles in diverse periods, from a net shock transmitter to a net shock receiver in the designed system. Using a dynamic and contemporaneous dynamic linkage method, this study emphasizes the change in the role and the dominance of green logistics and renewable energy consumption. Notably, the unexpected shocks also lead to changes in these variables’ roles.

This paper presents two significant contributions to the existing body of literature. Firstly, as previously emphasized, this research marks a pioneering effort to examine the connection between green logistics, environmental issues and the use of green and dirty energy when it comes to developing nations such as Vietnam. Secondly, this research introduces a novel approach to investigating the interconnectedness of volatility across diverse markets, offering a more suitable method for such analyses. Within this study, the author uses innovative tools, specifically an R2 decomposed linkage method, to scrutinize the connections between green logistics, environmental issues and the use of green and dirty energy. In this analysis, the author examined data from 2000 through 2022. A thorough analysis is presented using the data, exploring the connections between the volatilities resulting from various problems in Vietnam.

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.

This chapter explores the interaction between celebrity culture and contemporary masculinities, introducing the public appearances of actors Timothée Chalamet, Paul Mescal, and Barry Keoghan that are under examination in the following chapters. The chapter sets the context of hegemony, heterosexuality, and masculinity, which will be the basis of the examination that is offered in the following chapters of these books where a showcase of their sartorial choices is presented to analyse whether they challenge traditional norms of gender and masculinity. The present chapter begins by setting a theoretical framework that draws on key theorists like Butler, Foucault, and Gramsci, emphasising the role of hegemony in reinforcing heteronormative standards. The analysis then moves to celebrities with attention to how they through their sartorial choices, particularly at high-visibility events like award shows, engage with and potentially subvert expected masculine norms. Despite being heterosexual men conforming to cisheteronormative societal norms in their personal lives, their public fashion choices serve as a form of cultural commentary that challenges rigid boundaries around male attire and behaviours. Furthermore, the chapter reviews relevant literature on the social construction of gender, the concept of hegemonic masculinity, and the performative nature of gender, drawing on established studies to frame the actors’ public presentations within broader societal and cultural dynamics. This chapter aims to provide a comprehensive overview of how gender norms are maintained and challenged within the sphere of celebrity culture.

Recent discussions of the service‐dominant logic (S‐D logic) and the creation of a multidisciplinary service science highlight the need for a paradigmatic discussion that provides directions for ongoing service research. This article aims to examine different epistemological foundations and proposes a framework to describe and better understand the development and future of service research.

Using the proposed framework, an assessment of 60 selected award‐winning and most cited articles is categorized using the paradigmatic framework.

Four paradigms are found to be prominent in service research: positivistic, hermeneutic, dialogic, and monologic. The positivistic option has been the dominant paradigm employed by service scholars, suggesting service scholars need to apply the three alternative paradigms more as a means to enrich and extend the service research discipline.

There is a need to discuss the fundamental beliefs and worldviews (ontological and epistemological positions) guiding service research. Paradigms are critical determinants and drivers of good research.

A new framework for analyzing paradigmatic foundations in service research and directions for the future design of service research studies is proposed. The suggested framework could inspire scholars to reflect on their ontological and epistemological foundations and provide paradigmatic guidance within service research. This provides a basis for continuous expansion of the service research field.

Wesley Snipes has had an extensive career on the big screen starting out as part of the New Black Cinema movement in the 1990s working with Spike Lee and Mario Van Peebles. His roles have been incredibly varied covering drama, comedy, action, thriller, horror and Science Fiction: he has played everything from jazz saxophonist to paraplegic and drag queen to vampire, as well as recently appearing as character actor D'Urville Martin in Eddie Murphy's critically acclaimed Dolemite Is My Name. However, despite his versatility as an actor and his popularity in action films such as Demolition Man and the Blade Trilogy, Snipes has been, surprisingly, the subject of minimal analysis unlike, for example Schwarzenegger and Stallone. Unfortunately, he has also fallen foul of the direct to video curse from around 2005 as well as being sentenced to three years in prison for tax evasion. However, this should not negate Snipes' contribution to cinema, especially in the genre of action. Snipes can be a commanding presence given the right script and direction – as an expert martial artist he is lithe and agile; he has strong facial features and a powerful voice, plus the ability to deliver the wisecracking humour which often goes hand-in-hand with action performances. The aim of this chapter, then, is to focus on Snipes as an action star and, more specifically, his significance as a black action star, examining several key films which have helped to develop his onscreen persona and performance style.

This chapter analyzes the relations among bank mergers, changes in boards and their networks, and changes in the global footprint of merging banks. We examine all mergers involving U.S. banks with foreign branches between 1986 and 2004. We find that while the largest banks have become even larger through mergers, their boards have stayed roughly the same size with the same pattern of connections, leaving banks relatively less central in the intercorporate network. And while global banks previously had more globally oriented boards, this is no longer the case, as the link between board networks and strategy has become more tenuous. Because global banks were particularly prone to merging, the average commercial bank in the U.S. is now far more domestically oriented than firms in most other industries. American banks have thus become more domestic at the same time that the rest of American industry has grown much more global.

The purpose of this paper is to apply a fuzzy LinPreRa cognitive map to evaluate the interaction and importance of factors affecting the development of strategic alliance partnerships between the outlying island duty-free shops and existing collaboration firms in duty-free shops. Meanwhile, the key factors should be considered in establishing strategic alliance partnerships while analyzing and comparing the perspectives of owners for outlying island duty-free shop and partner vendors of collaborating firms along with differences of influencing key factors on partnership quality.

This study incorporates a fuzzy linguistic preference relation analytical network process (fuzzy LinPreRa ANP) in the fuzzy cognitive map (FCM) method to formulate a fuzzy LinPreRa cognitive map to evaluate the interactions and importance of key factors and the conditions of interactive impacts during the establishment of strategic alliance partnerships. The authors use the outlying island duty-free shops in Taiwan as the empirical subject to illustrate how the fuzzy LinPreRa cognitive map is applied. In-depth, interviews and questionnaire surveys are conducted to collect and evaluate respondents concerning key factors affecting strategic alliance partnerships establishment.

The following three findings based on the results of empirical analysis: first, the administrative behavioral patterns of managers for strategic alliance partnerships encompass shared values and goal coherence, while the associative statements are located on the first layer of fuzzy LinPreRa cognitive map core associations, which illustrates that businesses attach great importance to conceptual ideas. Second, integrity and reputations of both parties are the governing mechanism of strategic alliance partnerships, influencing mutual reputation. Third, the relationship of strategic alliance partnerships refers to the profit opportunities of both parties and their ability to respond to the market, including future development, regional indicators, marketing capabilities, brand multiplicity and customer retention. However, it can be inferred that such associative factors are located in the outer layer or belong to noncore associations, which means that both parties’ abilities to respond to market reactions are weakened.

This study provides valuable relationship managerial strategies to maintain long-term partnerships for outlying island duty-free shops and their alliance collaborating firms including strengthened relationships of both parties’ managers to achieve common values and consistent objectives; improved beneficial value of both parties in strategic alliance partnerships; continued close communications to enhance the quality of strategic alliance partnerships; and establishment of personnel training mechanisms and strict formulation of management rules for strategic alliance partnerships.

The main valuable contributions are included the fuzzy LinPreRa cognitive map by combining two different decision methods including FCM and fuzzy LinPreRa ANP is proposed to help decision makers to improve the evaluation quality and calculation efficiency for critical elements’ interaction and importance; the fuzzy LinPreRa cognitive map can clarify considering significant factors when maintaining strategic alliance partnerships and further provide valuable relationship managerial strategies to maintain long-term relationships for duty-free shop owners and their alliance collaborating firms.