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Research has demonstrated that employees desire to be shown appreciation in various ways. The five languages of appreciation provide a model for exploring these differences. This study aims to explore whether individuals who speak different languages (and are from various cultures) differ in how they prefer to be shown appreciation.

The Motivating By Appreciation Inventory (MBAI) is an online tool that assesses each person’s preferences in how they desire to be shown appreciation at work. Initially developed in English, the MBAI has been translated into seven additional languages. Over 2,200 employees took the MBAI in their preferred spoken language: Mandarin (Chinese), Danish, French (Canadian), Portuguese (Brazilian), Spanish (Latin American), Thai and Turkish. The frequency of each group’s preferred appreciation languages was analyzed to determine similarities and differences across the languages spoken.

Given the non-normal distribution of the data, the Kruskal–Wallis test found that there was a significant difference in preferences for participants’ primary appreciation language across the seven groups of various spoken languages. One key theme was that words of affirmation were most frequently chosen by five of the seven language groups, whereas employees from Thailand and Turkey chose acts of service most frequently. Additionally, tangible gifts were the least frequently chosen appreciation language by all groups, and at rates below their US counterparts. In three of the languages, quality time was preferred significantly less compared with the other languages.

Some of the groups’ findings (Portuguese, Thai) may be impacted by a confounding variable of the type of work setting (manufacturing) in which the employees worked – in comparison to office-based work settings.

One theme was, in comparison to other ways of receiving appreciation, tangible gifts are not highly valued by most employees across all language groups. Therefore, organizations using gifts as the primary way to communicate appreciation to employees may be wasting a lot of money. Similar to English-speaking employees, five of the seven language groups chose words as their preferred appreciation language. A wide range exists, however, across language groups with regards to the proportion who desire words, quality time or acts of service. Multicultural organizations should pay attention to employee preferences, lest they waste time and energy on undesired actions.

To the best of the author’s knowledge, this is the first study that has examined the preferences of how employees like to be shown appreciation across seven different language groups.

Research for the case study was conducted using a combination of semi-structured interviews and secondary data sources.

This case traces the international expansion of Sadowsky Guitars’ bass guitar product line. Roger Sadowsky is one of the most respected instrument makers in the world and gained early acclaim for his outstanding repair and restoration work on guitars and basses. Some of his early clients included Prince, Will Lee (The Tonight Show), Tom Hamilton of Aerosmith, Jason Newsted of Metallica, Eddie Van Halen and Marcus Miller. Roger’s reputation and the demand for his instruments led to some customers having to wait for more than a year to obtain the chance to purchase a Sadowsky instrument, while others were unable to do so due to financial constraints. In 2003, Roger made the decision to form Sadowsky Japan to begin the contract manufacturing of more affordable Sadowsky instruments in Tokyo, Japan. As the company grew in size, Roger realized he was becoming more focused on running a business than building instruments. Furthermore, his Japanese partners were only interested in serving the Japanese market. This required him to handle the sales and distribution in the remaining parts of the world. In December of 2019, he announced a new, exclusive licensing agreement and distribution partnership between Sadowsky Guitars and Warwick GmbH & Co Music Equipment KG. The new agreement allowed Roger to continue running the Sadowsky NYC Custom Shop while Warwick would take over building and distributing the Metro instruments and a less-expensive, Chinese-built version of the MetroExpress instruments.

This case is appropriate for undergraduate and graduate-level courses related to marketing and consumer behavior. The case walks students through a real-life scenario when the founder of a well-known musical brand sought to expand internationally as a way to meet growing market demand. Students are asked to consider the advantages and disadvantages of the five key international market entry strategies: exporting, licensing, contract manufacturing, joint ventures and investment (equity/acquisition).

The case works well in the classroom, even if people are unfamiliar with the musical instrument retail industry. Participants are most likely aware of some of the artists and musicians mentioned in the case. Some may also be or know musicians. The instructor should be able to quickly engage participants in a lively discussion about Roger Sadowsky’s vision for his instruments and the opportunities and challenges of expanding product offerings and increasing market share.

Teaching notes are available for educators only.

This chapter examines the concepts of race and racism, critically reviewing their historical and contemporary applications in everyday life as well as in academic and policy debates. Racism has been extensively researched, with various theories and conceptualisations developed across social science. However, there is a great deal of disagreement regarding its nature, contemporary significance and empirical validation. This chapter examines these and attempts to synthesise some of the common definitions of racism provided in the literature. It explores related concepts and underlying themes pertaining to expressions of race and racism. Furthermore, it unpacks current knowledge about racial issues and discusses recent advances in the conceptual understanding of various forms of racism. It also elucidates the social, political and analytical applications of racism as a concept and the significance of racism in contemporary societies. The chapter concludes by highlighting how racism is a dynamic phenomenon, continuously evolving with the social, political and technological transformations in contemporary societies.

This study, rooted in affordance-actualization theory and communication theory, aims to critically examine how ChatGPT influences users’ transition from new adopters to loyal advocates within the context of travel decision-making. It incorporates constructs including communication quality, personalization, anthropomorphism, cognitive and emotional trust (ET), loyalty and intention to adopt into a comprehensive model.

This study used quantitative methods to analyze data from 477 respondents, collected online through a self-administered questionnaire by Embrain, a leading market research company in South Korea. Lavaan package within R studio was used for evaluating the measurement model through confirmatory factor analysis and using structural equation modeling to examine the proposed hypotheses.

The findings reveal a pivotal need for enhancing ChatGPT’s communication quality, particularly in terms of accuracy, currency and understandability. Personalization emerges as a key driver for cognitive trust, while anthropomorphism significantly impacts ET. Interestingly, the study unveils that in the context of travel recommendations, users’ trust in ChatGPT predominantly operates at the cognitive level, significantly impacting loyalty and subsequent adoption intentions.

The findings of this research provide valuable insights for improving Generative AI (GenAI) technology and management practices in travel recommendations.

As one of the few empirical research papers in the burgeoning field of GenAI, this study proposes a highly explanatory model for the process from affordance to actualization in the context of using ChatGPT for travel recommendations.

The study's objective was to address the factors impacting the employability attributes of fresh graduates in the Kingdom of Bahrain while considering the various challenges. This study used a quantitative approach which employed the questionnaire tool, and data were collected by using a convenience sampling method. The study sample comprised n = 385 respondents from different industries, including manufacturing, banking and finance, hospitality, healthcare, oil and gas, and real estate sectors of Bahrain. Data gathered from questionnaire were analyzed using Statistical Package for the Social Sciences (SPSS), where descriptive and inferential statistics was used to analyze the data. The results of the study showed for the major Hypothesis 1 that the demographic variables have no significant statistical impact on employment attributes of the new fresh graduates. Moreover, findings suggest that null hypothesis for major Hypothesis 2 has been rejected as applied academic skills and critical thinking skills have no significant impact on employability attribute of fresh graduates in the Kingdom of Bahrain. Null hypothesis for major Hypothesis 3 has been accepted as findings suggest that technology use skills (β ₁ = 0.080), system thinking skills (β ₂ = 0.210), communication skills (β ₃ = 0.402), and information skills (β ₄ = −0.100) which are an antecedent of workplace skills, have significant statistical impact on employability attribute of fresh graduates in Kingdom of Bahrain. Lastly, null hypothesis for major Hypothesis 4 has been accepted as findings suggest that interpersonal skills (β ₅ = 0.229) which are an antecedent of effective relationship have significant statistical impact on employability attribute of fresh graduates in the Kingdom of Bahrain.

Despite large bodies of research related to the impacts of e-commerce on last-mile logistics and sustainability, there has been limited effort to evaluate urban freight using an equity lens. Therefore, this study proposes a modeling framework that enables researchers and planners to estimate the baseline equity performance of a major e-commerce platform and evaluate equity impacts of possible urban freight management strategies. The study also analyzes the sensitivity of various operational decisions to mitigate bias in the analysis.

The model adapts empirical methodologies from activity-based modeling, transport equity evaluation, and residential freight trip generation (RFTG) to estimate person- and household-level delivery demand and cargo van traffic exposure in 41 U.S. Metropolitan Statistical Areas (MSAs).

Evaluating 12 measurements across varying population segments and spatial units, the study finds robust evidence for racial and socio-economic inequities in last-mile delivery for low-income and, especially, populations of color (POC). By the most conservative measurement, POC are exposed to roughly 35% more cargo van traffic than white populations on average, despite ordering less than half as many packages. The study explores the model’s utility by evaluating a simple scenario that finds marginal equity gains for urban freight management strategies that prioritize line-haul efficiency improvements over those improving intra-neighborhood circulations.

Presents a first effort in building a modeling framework for more equitable decision-making in last-mile delivery operations and broader city planning.

This chapter is one of five chapters dedicated to anti-racism, specifically focusing on its conceptual foundations. Drawing from critical scholarship on ideas that have inspired political debates and policies about racism, I address key questions pertaining to anti-racism as an idea, policy framework and as a catalyst for sociopolitical action. This chapter engages with the fundamental principles that underpin anti-racism endeavours, ranging from community engagement to political activism and civil rights movements. It critically examines the ongoing debates on whether the goals of anti-racism, such as racial justice and dismantling of institutional racism/privilege, align with existing sociopolitical order. In addition, this chapter contributes to anti-racism scholarship that has evolved over the past five decades, by synthesising how anti-racism relates to various societal goals. Furthermore, this discussion incorporates themes such as the promotion of tolerance, equality, social justice and recognition within the context of anti-racism.

This study aims to explore the impact of carbon neutral announcements on “stock market value” of publicly listed companies in China.

The event study approach is adopted. Market, market-adjusted, Carhart four-factor model and a cross-sectional regression model are employed to examine the impacts of carbon neutral announcements on “stock market value” of Chinese companies based on data from 188 carbon neutral announcements.

Carbon neutral announcements positively impact Chinese shareholder value. Carbon neutral announcements at the strategic level have a more positive and significant impact on Chinese stock market value. Innovative carbon neutral announcements do not significantly cause Chinese stock market reactions. Companies have more positive and significant stock market reactions when the companies make carbon neutral announcements that reflect high supply chain network resilience and heterogeneity and strong supply chain network relationships.

The findings uncover the business value of carbon neutral activities and provide operations managers in developing countries insights into how to improve enterprises' market value by actively implementing carbon neutral activities.

This paper is the first trial to apply an event study to examine the relationship between carbon neutral announcements and Chinese stock market value from the perspective of announcement level and type and supply chain networks. This paper introduces corporate reputation theory and enriches the application of corporate reputation theory in the field of low-carbon environmental protections and supply chains.