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The purpose of this paper is to reveal a new contribution to behavioural finance that focuses on individuals rather than groups.

Research is based on field studies with executives utilizing an assessment instrument to identify and measure their financial traits. The approach to the topic is to present the underlying model of financial traits and show how they add another dimension to behavioural finance approaches.

The model identifies three financial styles, each of which comprises three financial signatures. Each of the financial signatures leads to characteristic financial decisions with specific valuation outcomes.

The research is in its early stages. It requires larger sample sizes and needs to be conducted across industries and different cultures. Its implications are that can be predicted the financial performance and valuation of companies by knowing the financial styles of their leaders and managers, and also their financial cultures.

Practical implications are that this work can be used as a new method for valuing companies, for stock analysis and for portfolio analysis and valuation. It can also be used as a basis for M&A, to assess the financial alignment of companies conducting M&A and the likely chances of success.

The paper shows a totally new way to assess the valuation outcomes of individuals, teams and companies based purely on their behavioural financial traits.

The purpose of this paper is to develop an analytical model to value traits at different developmental phases and to determine the value of drought tolerance (DT) in wheat using GM technology.

A stochastic binomial real-options model of GM traits was developed to estimate the value of a DT wheat trait.

The results indicate that the value of DT wheat using GM technology is in-the-money at each development phase. The greatest value would accrue for the Prairie Gateway and Northern Great Plains regions in the USA.

The approach is useful for valuing high-cost risky investments in technology and results provide guidance for development strategies.

The model is original and its applications to wheat are unique.

Improving the performance of recommender systems (RSs) has always been a major challenge in the area of e-commerce because the systems face issues such as cold start, sparsity, scalability and interest drift that affect their performance. Despite the efforts made to solve these problems, there is still no RS that can solve or reduce all the problems simultaneously. Therefore, the purpose of this study is to provide an effective and comprehensive RS to solve or reduce all of the above issues, which uses a combination of basic customer information as well as big data techniques.

The most important steps in the proposed RS are: (1) collecting demographic and behavioral data of customers from an e-clothing store; (2) assessing customer personality traits; (3) creating a new user-item matrix based on customer/user interest; (4) calculating the similarity between customers with efficient k-nearest neighbor (EKNN) algorithm based on locality-sensitive hashing (LSH) approach and (5) defining a new similarity function based on a combination of personality traits, demographic characteristics and time-based purchasing behavior that are the key incentives for customers' purchases.

The proposed method was compared with different baselines (matrix factorization and ensemble). The results showed that the proposed method in terms of all evaluation measures led to a significant improvement in traditional collaborative filtering (CF) performance, and with a significant difference (more than 40%), performed better than all baselines. According to the results, we find that our proposed method, which uses a combination of personality information and demographics, as well as tracking the recent interests and needs of the customer with the LSH approach, helps to improve the effectiveness of the recommendations more than the baselines. This is due to the fact that this method, which uses the above information in conjunction with the LSH technique, is more effective and more accurate in solving problems of cold start, scalability, sparsity and interest drift.

The research data were limited to only one e-clothing store.

In order to achieve an accurate and real-time RS in e-commerce, it is essential to use a combination of customer information with efficient techniques. In this regard, according to the results of the research, the use of personality traits and demographic characteristics lead to a more accurate knowledge of customers' interests and thus better identification of similar customers. Therefore, this information should be considered as a solution to reduce the problems of cold start and sparsity. Also, a better judgment can be made about customers' interests by considering their recent purchases; therefore, in order to solve the problems of interest drifts, different weights should be assigned to purchases and launch time of products/items at different times (the more recent, the more weight). Finally, the LSH technique is used to increase the RS scalability in e-commerce. In total, a combination of personality traits, demographics and customer purchasing behavior over time with the LSH technique should be used to achieve an ideal RS. Using the RS proposed in this research, it is possible to create a comfortable and enjoyable shopping experience for customers by providing real-time recommendations that match customers' preferences and can result in an increase in the profitability of e-shops.

In this study, by considering a combination of personality traits, demographic characteristics and time-based purchasing behavior of customers along with the LSH technique, we were able for the first time to simultaneously solve the basic problems of CF, namely cold start, scalability, sparsity and interest drift, which led to a decrease in significant errors of recommendations and an increase in the accuracy of CF. The average errors of the recommendations provided to users based on the proposed model is only about 13%, and the accuracy and compliance of these recommendations with the interests of customers is about 92%. In addition, a 40% difference between the accuracy of the proposed method and the traditional CF method has been observed. This level of accuracy in RSs is very significant and special, which is certainly welcomed by e-business owners. This is also a new scientific finding that is very useful for programmers, users and researchers. In general, the main contributions of this research are: 1) proposing an accurate RS using personality traits, demographic characteristics and time-based purchasing behavior; 2) proposing an effective and comprehensive RS for a “clothing” online store; 3) improving the RS performance by solving the cold start issue using personality traits and demographic characteristics; 4) improving the scalability issue in RS through efficient k-nearest neighbors; 5) Mitigating the sparsity issue by using personality traits and demographic characteristics and also by densifying the user-item matrix and 6) improving the RS accuracy by solving the interest drift issue through developing a time-based user-item matrix.

This study aims to investigate the relationship between chief executive officer (CEO) narcissism and internal control weaknesses in the Iranian listed companies.

The study’s statistical population consists of 1,309 firm-year observations from 2012 to 2018. Multivariate regression and the least squares regression are used in this study to examine the hypothesis.

The hypothesis confirms a positive and significant relationship between the CEOs’ narcissism and the internal control weaknesses (ICWs). In other words, managers with narcissistic personality traits prioritize their position, interests and goals. Therefore, there is more possibility of information distortion and denying the existing internal controls, leading to an increase in misreporting.

In this paper, two variables, including the manager’s signature and the managers’ cash compensation index, are used to assess the CEO’s narcissism, leading to more accurate results. This is also the first study examining CEO narcissism and internal control weaknesses, especially in the emerging market.

This study presents a meaningful moderator, a fundamental characteristic of employers – their size, to unravel the inconsistencies regarding the relationship between the workers’ voluntary employer changes and salary attainment in previous studies. Results indicate that voluntary employer changes did not predict salary attainment in large firms, whereas a positive effect was found to be stronger in medium than in small firms. Also presented herein are several explanations for the moderating property of firm size.

This study aims to explore the impact of remote work (RW) on millennials’ organizational commitment (OC) by addressing four research gaps identified in existing studies. Drawing on social exchange theory (SET), the authors also investigate if millennials are well-suited for RW environment and how shared leadership (SL) and followership moderate the relationship between RW and millennials’ OC.

A survey was conducted involving 154 millennial employees. Confirmatory factor analysis and hierarchical multiple regression analysis were performed to investigate the moderating effect of SL and followership on the relationship between RW and millennials’ OC.

The results reveal that millennials’ OC increases with the degree of RW. Moreover, both SL and followership exhibited a moderating effect on the RW-millennials’ OC relationship, emphasizing their importance in shaping millennials’ OC.

While the effect of RW on individual-level outcomes remains controversial, this study sheds light on the positive impact based on millennials' characteristics and suggests strategies to strengthen their OC in remote working environments. However, due to the cross-sectional nature of our research, a longitudinal study would be valuable to provide deeper insights.

This study contributes to the field of organizational behavior (OB) by connecting millennials’ traits with SL and followership, offering valuable insights into strengthening their OC within the context of RW through the lens of SET. By addressing and filling the four identified research gaps, our research advances knowledge in the improvement of millennials’ OC within the RW environment.

Biofortification of staple crops is a promising strategy to alleviate micronutrient deficiencies in rural populations of the developing world. The possibility to sell biofortified crops at “a good market price” plays a vital role for the acceptance by smallholder farmers. This study is therefore focused on non-farming consumers' willingness to pay (WTP) for biofortified crops.

Specifically, we elicited non-farming consumers' WTP a premium for the improved iron content (+30% iron) in a 1kg finger millet bag using a 2nd price Vickrey auction with six auction rounds and one health- and one process-related information treatment. Due to multiple bids per subject, premiums were analyzed using a linear mixed-effects model, controlling for market feedback and auction round.

Despite more than half of the respondents being skeptical toward new crop varieties, the acceptance rate was very high (98% with a WTP above zero). The average premium amounted to 27% and could be significantly increased with the provision of health-related information. In contrast, information about the breeding method was ineffective. The WTP was significantly higher for higher income and lower for higher age, education and skepticism toward new crop varieties and increased with increasing rounds.

Our results suggest that non-farming consumers are willing to pay “a good market price” for iron-biofortified finger millet. Our analysis also confirms the importance of health-related information for raising consumers' WTP. This information supports the further development and introduction of biofortified crops to alleviate micronutrient malnutrition.

This study adds to the still limited literature on consumers' WTP for iron-biofortified crops in India, focusing on non-farming consumers to assess the price such crops can achieve on the market.

Extant expatriate literature largely adopts a global north/western focus and expatriate-centric approach in investigating spousal/partners’ motives for supporting expatriation. Contrastingly, this study focuses on the lived experiences of dual-career female partners from an emerging global south economy and a patriarchal society as it relates to motives for supporting a partner’s international assignment (IA) to a developed country.

This investigation adopts a hermeneutic interpretive phenomenology research design. Twelve career-oriented female partners from an emerging global south economy (Brazil) who supported a partner’s IA to a developed country (USA) participated in this study. The data included semi-structured interviews and field notes.

The study indicates that societal constraints, gendered career experiences and career and life stage reasons influenced women’s decision to engage in career opt out and/or interruption in support of their partners' IA. Further, patriarchal long-lasting structures and ideologies shaped women’s career experiences; women perceived IAs as a means of acquiring embodied and institutionalized cosmopolitan capital for themselves and their families in order to gain a better position in a transnational/globalized world.

Although the sample size of this study is appropriate for the methodological choice adopted, future studies should include more participants and address different socioeconomic, political and cultural contexts.

This study highlights dual-career female partners' lived experiences in an emerging global south economy and a patriarchal society as it relates to motives for supporting IAs.

The purpose of the study was to find out the impact of the castrated and intact attribute of the male goat on its price in Pakistan.

Five major goat markets of Punjab, Pakistan, representing various cropping systems, climatic conditions and socio-economic conditions, were selected for the study. Data about the market location, traits of traded male goat (weight, age, breed, castration, etc.), buyer attributes (education level, experience of buying goats), the purpose of buying and price of 383 traded male goats were collected by using a pretested questionnaire. The hedonic regression model was used to estimate the impact of male goat attributes on its price.

Results indicated a significant price difference between castrated and intact male goats and recommended castration of male goats for a better price. Additional findings showed a significant positive impact of live weight, age, breed and the selling marketplace on the male goat prices.

By targeting and marketing male goat characteristics like castration, weight, breed and selling markets, goat producers can receive a premium price for their animals.

In livestock markets of developing countries, buyers strongly prefer castrated or intact male goats for several reasons. However, as existing literature did not document the effect of male goat's castrated and intact attribute on its price; therefore, the study is important to fill this gap.

Purpose – The chapter aims to explore women's entrepreneurship in the sciences, specifically, veterinary medicine, and to highlight future potential.

Methodology/approach – Following a review of the extant literature, the chapter employs a single case approach to explore the experiences of a woman academic entrepreneur in the field of veterinary medicine.

Findings – The findings support the view that women are significantly under-represented in the sciences (SET/STEM) both as professionals and as entrepreneurs. The chapter also finds that, due to a relatively low number of veterinary professionals currently working in industry and/or commercialisable research areas, the sector offers significant potential for entrepreneurship, particularly among women veterinarians.

Research limitations/implications – Despite providing rich and meaningful insights that enhance understanding, the single case approach limits the potential for generalising the findings.

Practical implications – Given the significant increase in the number of women entering veterinary education in recent years, the chapter has important implications for how gender is considered in the promotion of entrepreneurship within veterinary medicine curricula.

Social implications – In view of the imminent gender shift within the profession, the case discussed in this chapter serves as an important role model to encourage more women to engage in entrepreneurship.

Originality/value of chapter – As one of the few studies offering insights on women's entrepreneurship in veterinary medicine, this chapter helps enhance our understanding of the field.