Assessing the Reliability of Self‐reported Income Information in Informal Small Business Lending through a Bogus Pipeline Experiment

Coping with asymmetric information plays a major role in successful small business lending. Our purpose is to determine if small business applicants report their income information correctly when requesting a loan. We use a randomised controlled trial bogus pipeline experiment, established during a typical cash‐flow analysis of a bank for small businesses in the Philippines. The bogus pipeline approach is commonly applied in social science and aims to increase the rate of truth telling by informing participants that answers will be verified by a lie detector. The experimental data, which include 243 observations of credit clients that are mainly from the agricultural and food value chain, served to identify asymmetric information. Additionally, debtors’ repayment behaviour for approved loans was observed by the bank. Our results indicate that loan applicants of the treatment group report lower incomes, an effect which is most pronounced in lower income quantile. Our analyses also reveal higher loan delinquencies in the control group.     

Portfolio optimization based on GARCH-EVT-Copula forecasting models

This study uses GARCH-EVT-copula and ARMA-GARCH-EVT-copula models to perform out-of-sample forecasts and simulate one-day-ahead returns for ten stock indexes. We construct optimal portfolios based on the global minimum variance (GMV), minimum conditional value-at-risk (Min-CVaR) and certainty equivalence tangency (CET) criteria, and model the dependence structure between stock market returns by employing elliptical (Student-$t$ and Gaussian) and Archimedean (Clayton, Frank and Gumbel) copulas. We analyze the performances of 288 risk modeling portfolio strategies using out-of-sample back-testing. Our main finding is that the CET portfolio, based on ARMA-GARCH-EVT-copula forecasts, outperforms the benchmark portfolio based on historical returns. The regression analyses show that GARCH-EVT forecasting models, which use Gaussian or Student-$t$ copulas, are best at reducing the portfolio risk.     

Effects of commitment on intentional loyalty at the person-to-person and person-to-firm levels

This study explores how customers’ affective commitment and calculative commitment to the personal adviser and bank, respectively, affect their intentional loyalty to the personal adviser and bank. Data were collected using a web survey of mass affluent customers of a major Swedish bank. Responses were measured and analysed using factor, correlation, and regression analyses. The results reveal that the person-to-person and person-to-firm loyalty categories are influenced by affective and calculative commitment to the personal advisor and by affective commitment to the bank, but not by calculative commitment to the bank. Moreover, there is a strong relationship between customer loyalty to the personal adviser and to the bank. It can be concluded that affective commitment has a stronger overall impact on customer loyalty than does calculative commitment, indicating the importance of creating affective ties with customers, and that personal advisers are central to bank – customer relationships. The importance of financial issues to mass affluent customers implies that both affective commitment and calculative commitment to the personal adviser are important in building customer loyalty to a bank or brand.     

The role of psychological and socio-demographical factors for electric bike use in Norway

The electric bike (e-bike) is emerging as a new sustainable transport mode in Norway and has the potential to lead to increased cycling among the population. However, little is known about psychosocial determinants of e-bike use. The aim of the study was to examine the role of normative and environmental beliefs, the perceived attributes of e-bikes, and innovativeness and demographical factors related to e-bike use in a Norwegian sample. An online survey was used to collect data from 910 respondents, including both e-bike users (252) and non-users (658). The respondents were recruited via a commercial panel (response rate 42.04%) and a Facebook post. A structural equation modeling analysis was used to analyze the data. The structural model had a good fit to the data. The results showed that attitudes towards e-bike use followed by innovativeness were the most important predictors of e-bike use. The normative processes measured within the Norm Activation Model activated positive attitudes towards e-bike use, which in turn predicted e-bike use. There was a negative relationship between e-bike and conventional bike use, while a positive relationship was found between car and e-bike use. The results are discussed with regard to their implications for interventions aiming to promote e-bike use.     

Consumers’ Perceptions of Corporate Social Responsibility: Scale Development and Validation

Researchers and companies are paying increasing attention to corporate social responsibility (CSR) programs and the reaction to them by consumers. Despite such corporate efforts and an expanding literature exploring consumers’ response to CSR, it remains unclear how consumers perceive CSR and which “Gestalt” consumers have in mind when considering CSR. Academics and managers lack a tool for measuring consumers’ perceptions of CSR (CPCSR). This research explores CPCSR and develops a measurement model. Based on qualitative data from interviews with managers and consumers, the authors develop a conceptualization of CPCSR. Subsequently, model testing and validating occurs on three large quantitative data sets. The conceptualization and the measurement scale can assist companies to assess CPCSR relative to their performance. They also enable managers in identifying shortcomings in CSR engagement and/or communication. Finally, the paper discusses implications for marketing practice and future research.     

Foreign banks,financial crises and macroeconomic fluctuations

Understanding the implications of increased foreign bank presence is especially compelling in periods of financial crisis. In this paper, we explore this issue by examining the relationship between the involvement of foreign banks in the banking systems and the volatility of key macroeconomic variables in normal and crisis periods. Using a sample of 20 Emerging European countries from 1998 to 2013, we find that an increase in the assets of foreign banks in the banking system reduces output and consumption growth volatility in general but does not significantly affect the volatility of investments. However, these banks were found to play a significant role in increasing output, consumption and investment volatility in 2009. Our findings suggest that foreign banks’ harmful impact during the global crisis was only temporary and that they seem to help Emerging European countries stabilize macroeconomic volatility in normal times and after the global crisis.     

Sustainability practices of family firms: the interplay between family ownership and long-term orientation

Sustainability practices are critical for family firms, as they relate directly to the continuity of the business and relationships with important stakeholders, such as members of the local community. Nevertheless, not all family firms wish to adopt sustainability practices. To examine this, we draw upon the socioemotional wealth perspective in order to develop a theoretical model of the direct negative effects of family ownership on the adoption of sustainability practices. We also suggest moderating effects of long-term orientation (LTO) on this link. Our model is tested on a sample of 195 family firms in the tourism and hospitality sector. The results support our hypothesis that family ownership negatively influences the adoption of sustainability practices. Additionally, LTO moderates the relationship between family ownership and the adoption of sustainability practices, such that family owners with a high LTO are more likely to adopt this particular practice compared to those with a low LTO.     

Only the lonely? The influence of the spouse on the transition to self-employment

Previous research showed that married individuals are overrepresented among the self-employed. Few studies proposed skill-spillover between the spouses within the marriage as an explanation. This paper deviates from the previous research by exploring different relationship contexts (e.g., cohabitation, being married or divorced, a widow(er) or single) and the role of partner influences under these contexts. It argues that the interaction between gender and relationship status implies variation in not only resources but also constraints, and hence sorts individuals into two different types of self-employment: entrepreneurial self-employment (i.e., incorporated business) and unincorporated self-employment. Using “Panel Study of Income Dynamics (PSID) 1965–2005” data, results of the competing risk models show that marital status contributes to both types of self-employment transitions, especially for men, but also for women. Cohabitation is a less supportive context for entrepreneurship and a partner’s self-employment experience increases only women’s likelihood of entering into entrepreneurship. These results suggest that skill-spillover between partners might be context dependent and only in one direction (from men to women).