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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.

The purpose of this study was to explore the question: Does the Motivating By Appreciation (MBA) Inventory accurately identify the ways that individuals prefer to be shown appreciation by their colleagues at work?

Over 400 remote employees responded to an online questionnaire, answering an open-ended question regarding how they liked to be shown appreciation by colleagues. Their answers were coded according to the four languages of appreciation assessed by the MBA Inventory, and then a pairwise comparison was completed with their primary language of appreciation as identified by the MBA Inventory.

In total, 80% of the participants’ responses matched their preferred appreciation language from specific actions given with their primary language of appreciation on the MBA Inventory. A chi-square analysis was found to be highly statistically significant (p < 0.001) and the Cramer V effect size (0.61) indicated a strong relationship between the observed and expected number of matches. As a result, the MBA Inventory was found to be highly accurate in identifying individuals’ preferred appreciation language when comparing their primary language of appreciation to specific actions they identified as meaningful to them.

Participants were remote employees, with a majority being 40 years old or older. Therefore, caution should be taken in generalizing these results to other populations.

HR practitioners can use the MBA Inventory with a reasonable amount of confidence that the results are accurate.

To the best of the author’s knowledge, no other research exploring the validity of an online assessment of appreciation is known.

The present study aims to explore the intergenerational differences in the virtue of appreciation. The construct of appreciation takes a broadened perspective with six dimensions of “have” focus, awe, ritual, present moment, loss/adversity and interpersonal appreciation. Four different generations are studied – baby boomers (above 55 years), pre-millennial or Generation X (41–55 years), millennial or Generation Y (23–39 years) and post-millennial or Generation Z (below 23 years).

The collected data is analyzed in two stages. First, the adaptability of the scale is examined using exploratory factor analysis, confirmatory factor analysis, reliability and validity estimates. And in the second stage, the variations in appreciation scores are explored using ANOVA and post hoc analysis.

The results reveal statistically significant intergenerational differences among four subscales of appreciation, i.e. “have” focus, awe, present moment and loss/adversity. Only one subscale of appreciation, i.e. ritual, does not vary significantly across respondents of different generations. Also, younger generations have lesser scores on subscales of appreciation than older generations. Thus, it seems that older generations are generally more appreciative than younger generations.

The present study, to the best of the authors’ knowledge, could be the first research that examines the variation among generations for the experience of broader construct of appreciation within the Indian context.

The relationship between real exchange rate and services export diversification is at the heart of this study.

The analysis is performed using a sample of 113 countries over the period 1985–2014, and the 2-step system Generalized Method of Moments (GMM) approach. The analysis uses both the Theil index and Herfindahl–Hirschman index of services export concentration.

The analysis shows that over the full sample, the real effective exchange rate appreciation induces a greater services export diversification. This outcome applies to high-income countries and developing countries. However, the positive effect of the appreciation of the real exchange rate on services export concentration is lower in least developed countries than in other countries. Finally, the effect of the appreciation of the real exchange rate on services export concentration in tax haven countries depends on the indicator of services export concentration, as this is positive for the Theil index and negative for the Herfindahl–Hirschman index of services export concentration.

These findings highlight the strong influence of real exchange policies on countries' path of services export diversification.

To the best of the authors' knowledge, this topic is being addressed in the empirical literature for the first time.

Given food industry manufacturers and retailers' growing economic interest in sub-Saharan Africa (SSA), this research aims to contribute to the understanding of consumer food decisions in this specific geographical area. Thus, the intention is to analyze whether there are significant differences in the appreciation of food values according to certain key demographics of consumers (related to the individual and the context) in one of the largest SSA economies: Nigeria.

The review of the relevant literature enabled us to propose a series of hypotheses regarding potential significant differences in the appreciation of a series of food values (in particular, price, safety, environmental impact, nutrition and weight and measures) according to variables related to the individual and the economic and social context. In order to test the hypotheses, a structured questionnaire was personally administered to 500 Lagos residents between June and July 2020. The questionnaire contained, as well as diverse questions related to the appreciation of food values selected for this study, a group of questions about the consumers' sociodemographic characteristics – at both the individual and context level. The database was analyzed using descriptive statistics and Kruskal–Wallis tests.

The results show that nutrition and weight and measurement values are the most and least appreciated food values, respectively. However, these values differ across segments determined by the chosen sociodemographic variables.

The results of this study are preliminary and not a complete representation of the Lagos State population, and, consequently, of the Nigerian population. Additional studies in the same and other countries in SSA are needed to confirm the authors’ findings. The results, however, provide an insight into what the most likely outcomes are. A field survey was used as respondents tend not to answer online surveys spontaneously.

Food manufacturers and retailers should encourage consumer-operator feedback mechanisms to improve product characteristics and development. The variations found across each segment can be capitalized upon for advertising and branding food products.

Having selected a country in SSA for the study is an important contribution, given that few studies have focused on this geographical area.

This study aims to share with business leaders how annual reviews can assist with workplace engagement.

Findings derived from industry experience, working closely with HR leaders from 95% of Fortune 500 companies, and first-hand experience as chief executive officer/leader.

Key ways that annual reviews boost employee morale are recognition and acknowledgment, constructive feedback, personalized appreciation, team recognition and continuous appreciation.

This study shares original thoughts on annual reviews, which is a timely topic in December, and how they can be used to increase workplace engagement. This study is from a workplace engagement perspective rather than just the organizational benefits of annual reviews.

The main objective of the present study is to explore whether there are variations in the employment of evaluative language resources by male and female writers. More specifically, the study focuses on variations, if any, that can be attributed to difference in gender.

The study compared and contrasted forty recommendation letters written by male academics to the same number of letters written by female recommenders. The study uses both quantitative and qualitative approaches.

The investigation of three attitudinal resources in letters of recommendations showed that the most employed resource was the judgment sub-system. The appreciation domain was in the second position, and the least frequent was the affect. The results also revealed no statistically significant variations in attitude sub-systems: Affect and appreciation as the writers in both groups (males and females) employed almost the same options in each. In respect with judgment, however, the analysis explored significant differences between the two sets as male academics used more judgment resources than females.

The main contributions of this study may be as follows: first, it is one of very few studies drawing on the attitude-category of appraisal system, as an analytical tool to examine gender differences in recommendation letters very particularly on the ones written by non-native speakers of English. Second, the gender factor is central in the genre of the recommendation letters and hence researchers should be cognizant of its role as certain variations might be impacted by it. Third, the lists of tokens can be offered as heuristics for academics to have most common words or phrases to use in their letters. Finally, the findings can hopefully bear some important pedagogical implications, very specifically for novice and non-native academic writers of recommendations letters.

This study aims to address the critical need for innovative financing solutions in the global housing sector, focusing specifically on Malaysia’s distinct housing finance system encompassing both conventional and Islamic loans. The primary objective is to develop a transformative housing finance model that addresses affordability challenges and reshapes the Malaysian housing landscape.

The study presents an alternate housing finance model for Malaysia, integrating lower monthly payments and reduced household debt. Key variables include house price appreciation rates, interest rates, initial guarantee fees and loan-to-value ratios. Inspired by the Help to Buy (HTB) scheme, the model aligns with proven global initiatives for enhanced affordability, balancing payment amounts, loan interest rates and acceptable price thresholds.

The study’s findings promise to address affordability disparities and reshape Malaysia’s housing finance landscape. The emphasis is on introducing a structured repayment plan that offers a sustainable path to homeownership, particularly for low-income families. Incorporating the future value adaptation concept, inspired by reverse mortgages and Islamic finance, enhances adaptability, ensuring long-term sustainability despite economic shifts.

The proposed model promotes widespread access to homeownership, offering practical solutions for policymakers to improve affordability, prompting adaptable risk management strategies for financial institutions and empowering potential homebuyers with increased flexibility.

The study introduces a transformative housing finance model for Malaysia, merging elements from reverse mortgages, Islamic finance and the HTB scheme, offering potential applicability to similar systems globally.

This paper aims to explore current inconsistencies within the theoretical framework of current posttraumatic growth (PTG) literature in support of the suggestion for an alternative novel phenomenon labelled “post-adversarial appreciation”.

This re-conceptualisation has developed from the findings of empirical research conducted by the authors and their understanding of PTG.

Significant inconsistencies persist across the PTG literature in relation to the parameters required for PTG to manifest. It appears that PTG or an alternative concept labelled adversarial growth does take place following adverse/traumatic events, but that a separate phenomenon may better explain positive improvements in perceived personal appreciation during such events. This phenomenon is theorised by the authors as “post-adversarial appreciation”.

This paper suggests the existence of a novel phenomenon that may address many of the inconsistencies and present within the current PTG literature. This highlights a significant need for further research within the field of trauma and adversity in relation to positive outcomes which may result from such negative experiences.

This paper provides a structural model to value startup companies and determine the optimal level of research and development (R&D) spending by these companies.

This paper describes a new variant of float-the-money options, which can act as a financial instrument for financing R&D expenses for a specific time horizon or development stage, allowing the investor to share in the startup's value appreciation over that duration. Another innovation of this paper is that it develops a structural model for evaluating optimal level of R&D spending over a given time horizon. The paper deploys the Gompertz-Cox model for the R&D project outcomes, which facilitates investigation of how increased level of R&D input can enhance the company's value growth.

The author first introduces a time-varying drift term into standard Black-Scholes model to account for the varying growth rates of the startup at different stages, and the author interprets venture capital's investment in the startup as a “float-the-money” option. The author then incorporates the probabilities of startup failures at multiple stages into their financial valuation. The author gets a closed-form pricing formula for the contingent option of value appreciation. Finally, the author utilizes Cox proportional hazards model to analyze the optimal level of R&D input that maximizes the return on investment.

The integrated contingent claims model links the change in the financial valuation of startups with the incremental R&D spending. The Gompertz-Cox contingency model for R&D success rate is used to quantify the optimal level of R&D input. This model assumption may be simplistic, but nevertheless illustrative.

Once supplemented with actual transaction data, the model can serve as a reference benchmark valuation of new project deals and previously invested projects seeking exit.

The integrated structural model can potentially have much wider applications beyond valuation of startup companies. For instance, in valuing a company's risk management, the level of R&D spending in the model can be replaced by the company's budget for risk management. As another promising application, in evaluating a country's economic growth rate in the face of rising climate risks, the level of R&D spending in this paper can be replaced by a country's investment in addressing climate risks.

This paper is the first to develop an integrated valuation model for startups by combining the real-world R&D project contingencies with risk-neutral valuation of the potential payoffs.