Search results

The purpose of this paper is to examine the relationships of i-deals with the employability of older workers, and introduce two distinct theoretical processes through which these effects occur. On the one hand, a self-enhancement perspective postulates that i-deals enhance self-efficacy through which older workers become more employable. On the other hand, a lifespan perspective postulates that i-deals enhance older workers’ future time perspective through which they become more employable.

Data were gathered among 244 employees via an online questionnaire that had been sent to employees of 45 years or older at eight companies in the Netherlands.

Results showed that task and work responsibilities i-deals are strongly related to older workers’ employability, and that this relationship is mediated by future time perspective and self-efficacy. Location flexibility i-deals were positively related to employability. Financial i-deals and schedule flexibility i-deals were unrelated to employability.

This study introduces two novel ways through which i-deals for older workers can be studied: a self-enhancement and a future time perspective. Both can explain how older workers may enhance their employability by negotiating i-deals.

As the percentage of older workers will increase, there is a great need for organizations to focus on the employability of older workers. The present study shows that organizations are able to increase the employability of older workers by individual arrangements.

Individualization of work arrangements has been theorized to facilitate older workers’ employability, but the present study is the first to investigate how i-deals may contribute to greater employability.

Purpose: This literature review aims to answer the calls for further exploration of scaling challenges and opportunities for social entrepreneurs (SEs). We address the scaling issue of social entrepreneurship through the theoretical lens of sustainable business models. Methodology: This paper investigates, on a multilevel approach, 340 journal articles published in one of the 20 peer-reviewed journals in management, entrepreneurship, CSR, organizational behavior, and nonprofit. It also considers influential articles due to their relatively high citation count (i.e., more than 150 times) outside of those selected journals. This paper furthermore analyses in-depth 32 scaling articles. Findings: This study positions the topics of social entrepreneurship over the last decades, together with the six types of scaling strategies: scaling up, scaling down, scaling across, scaling deep, scaling out, and diversification. It also discusses 15 challenges related to the scaling efforts by SEs. It furthermore elaborates on potential leads for research and practice regarding scaling social impact. Social Implications: There are many pathways for SEs to increase their impact on society, even though it remains quite challenging to achieve for most. Understanding what possibilities or limitations apply to individual SEs is but a first step in developing the full potential of social entrepreneurship. Originality: This paper approaches scaling from three complementary levels of analysis, i.e., individual, organizational, and institutional. Thus we provide more clarity and a nuanced perspective on past and future research regarding scaling challenges and opportunities.

The purpose of this study is to investigate the determinants of agricultural insurance adoption by farmers of the state of São Paulo, Brazil.

Primary data from the 2015/2016 crop season was collected from a sample of 175 farmers. Logit econometric models were applied to identify the variables that affect the probability of agricultural insurance adoption.

The empirical results show that the education level, access to technical assistance, use of management tools and farm size positively affect the probability of adopting agricultural insurance. In addition, farmers who produce soybean and/or corn are more likely to use insurance. On the other hand, the higher the farmers’ propensity to take risk the lower the likelihood of using insurance.

The empirical analysis is based on cross-sectional data of a sample of 175 farmers of the state of São Paulo. The use of panel data with a larger sample of farmers, considering a period of years, could provide additional information.

To the best of the knowledge, this is the first empirical analysis about determinants of agricultural insurance adoption by Brazilian farmers, considering behavioral factors. The findings provide useful insights for policymakers in formulating risk management programs in the Brazilian agricultural markets. A better understanding about the determinants of insurance adoption is also relevant for private companies that sell insurance to farmers. Therefore, the paper may contribute with the diffusion of rural insurance as risk management tool in Brazilian agriculture.