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Igbo communities in diaspora are arguably some of the most innovative communities, in terms of business start-ups and engagements in entrepreneurial activities. Despite the lack of material resources, individuals within these communities have often started and engaged in new businesses, in environments considered extremely difficult. This chapter interrogates the sociocultural conditions behind such Igbo entrepreneurial incubation. Drawing largely on the experiences of selected Igbo individuals in a diasporan community (South Africa), it investigates how such Igbo business individuals’ start-up their businesses. A qualitative research method which allowed in-depth semi-structured interviews to collect data from the respondents was adopted. A simple thematic analysis was used to analyse the data. The result showed pressure to succeed and pre-existing repertoire of business knowledge and skill-set as some of the conditions that stimulate entrepreneurial activities of the Igbo business individuals in diaspora. It also showed other conditions such as the untapped business-friendly South African market and the association with the Igbo business networks as important conditions responsible for creating the opportunities upon which such business start-ups and entrepreneurial activities thrive. Based on these findings, the study encourages economic policy makers in South Africa and other African countries to develop similar national business models, that draws from the indigenous practices within the ITBS model.

This chapter extends the work of Baltagi, Bresson, Chaturvedi, and Lacroix (2018) to the popular dynamic panel data model. The authors investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution. The proposed robust Bayesian approach departs from the standard Bayesian framework in two ways. First, the authors consider the ε-contamination class of prior distributions for the model parameters as well as for the individual effects. Second, both the base elicited priors and the ε-contamination priors use Zellner’s (1986) g-priors for the variance–covariance matrices. The authors propose a general “toolbox” for a wide range of specifications which includes the dynamic panel model with random effects, with cross-correlated effects à la Chamberlain, for the Hausman–Taylor world and for dynamic panel data models with homogeneous/heterogeneous slopes and cross-sectional dependence. Using a Monte Carlo simulation study, the authors compare the finite sample properties of the proposed estimator to those of standard classical estimators. The chapter contributes to the dynamic panel data literature by proposing a general robust Bayesian framework which encompasses the conventional frequentist specifications and their associated estimation methods as special cases.

This paper proposes a new class of estimators for the autoregressive coefficient of a dynamic panel data model with random individual effects and nonstationary initial condition. The new estimators we introduce are weighted averages of the well-known first difference (FD) GMM/IV estimator and the pooled ordinary least squares (POLS) estimator. The proposed procedure seeks to exploit the differing strengths of the FD GMM/IV estimator relative to the pooled OLS estimator. In particular, the latter is inconsistent in the stationary case but is consistent and asymptotically normal with a faster rate of convergence than the former when the underlying panel autoregressive process has a unit root. By averaging the two estimators in an appropriate way, we are able to construct a class of estimators which are consistent and asymptotically standard normal, when suitably standardized, in both the stationary and the unit root case. The results of our simulation study also show that our proposed estimator has favorable finite sample properties when compared to a number of existing estimators.

During the COVID-19 pandemic, working from home (WFH) has become the norm for many employees and their families in Germany. Although WFH has been suggested as a form of flexible work to foster work–life integration (especially for workers with greater care responsibilities), studies have also pointed to its risks when the boundaries between these two life spheres become blurred. To help disentangle these inconsistent findings in relation to work–family conflict, this study focuses on two main concerns: the relevance of additional forms of flexibility for those who work from home (i.e., temporal flexibility, job autonomy, fixed rules about availability) and the implications of WFH for employees’ social relationships with co-workers and supervisors. Based on linked employer–employee data collected in the spring of 2021, the study examined work-to-family conflict (WFC) and family-to-work conflict (FWC) among a sample of 885 employees who worked from home. The results indicate that three factors – temporal flexibility, job autonomy, and fixed rules about availability as a way to set boundaries between work and family life – are important predictors of fewer work–family conflict. This equally applies to employees with caring obligations who overall experience more work–family conflicts while WFH. For those who cared for relatives, autonomy contributed even to fewer work–family conflicts. Supportive relationships with supervisors and co-workers are certainly directly beneficial when it comes to avoiding conflict, but they also reinforce the positive implications of flexible work, whereas poor relationships counteract the benefits of such flexibility. Thus, employers need to provide additional forms of flexibility to employees who work from home and should pay attention to social relationships among their employees as a way to support families and other individuals.

This study analyzes the effects of gender and occupational status differences on parents’ work-to-family conflicts, comparing COVID-19 pandemic and pre-pandemic periods. It is examined whether this association is mediated by parents’ telework. Theoretically, we use the work/family border theory and flexible resource versus greedy role perspectives to shed light on the gender- and status-related use of telework and illustrate the influence of flexible working practices on parents’ work-to-family conflicts. Using moderated mediation analysis combined with bootstrapping, we analyze data from two waves of the German Family Panel (pairfam), covering pre-pandemic (2017/18, 2019/2020) and pandemic periods (2020) (N = 3,315). Our results show higher work-to-family conflicts for parents with higher occupational status as well as teleworking parents. Furthermore, we find supporting evidence for the mediation from occupational status to work-to-family conflicts via telework, with a slightly stronger relationship among mothers than fathers. Under the consideration of the pandemic, the mediating effect was only provable for mothers but not for fathers. However, the mediating effect of telework does not strengthen under the pandemic conditions. Our findings support the greedy role perspective, in particular for employees with higher-status occupations, and the assumption of a negative influence of work–family integration through telework for work-to-family conflicts.

We investigate how firing notification procedures influence wage growth. Using a sample of 33 countries over the period 2006–2015, we show that administrative requirements in cases of dismissal have a positive and significant effect on wage growth. The result is robust even after controlling for the endogeneity of the firing notification restrictions, the involvement of third parties in the wage bargaining process, the minimum wage, the firms' training policy, and the composition of employment. These findings suggest that firing notification procedures foster the growth of wages by increasing the bargaining power of incumbent workers.

Retail marketing is in the midst of an evolution. The paradigm is shifting from a product-centric to a consumer-centric focus, with a particular emphasis on understanding how consumers transition from harboring an interest in a product to actually purchasing that product. In response, shopper marketing, and in-store marketing (ISM) in particular, have emerged as important mechanisms to influence shopper behavior in brick & mortar and online retail environments. The academic literature is replete with work on what factors of ISM influence shopper behavior. In this chapter, we categorize prominent streams of findings on ISM into firm, customer, competitor and product characteristics of ISM and examine how the notion of a “store” is evolving from bricks to clicks – namely from physical formats to online shopping experiences. Insights from this chapter will help retailers and store managers identify what their customers respond to within a physical store, how technology is changing the way they can capture information on customers, and how shopper behavior is evolving in response to brick & mortar and online retail environments.