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Many entrepreneurs are enthralled with their company's technologies, products and potential markets. Invariably these emerging ventures present bedazzling business plans with industry-wise vernacular, detailed market research, and sophisticated financial spreadsheets. They often flaunt their “optimized business models.” Investors, however, typically want to know when and how the sales will start meeting the Plan. “Whereʼs the purchase order?” is the refrain. In this article, our “Practitionerʼs Corner” associate editor Joe Levangie collaborates with a long-time colleague, Deaver Brown, to address how businesses should “make sales happen.” Levangie warns that Brownʼs elitist education (Choate, Harvard College, Harvard Business School) should not be interpreted as a lack of “street smarts”; Brownʼs more entrepreneurially friendly credentials include winning Golden Gloves boxing medals and selling Fuller Brush products door-to-door! To ascertain how the entrepreneur can wrest an order from a prospective customer, read on.

Marketing orientation refers to a culture in which organizations strive to create superior value for their customers (and superior performance for the business) by focusing on customer needs and long-term profitability. Some studies have found that firms with a high degree of marketing orientation experience improved performance; others have found mixed or nonsignificant results. The marketing orientation of small businesses has not been thoroughly investigated, however. This study of more than 200 small business CEOs examines the marketing orientation levels of small to medium-sized firms (SMEs) as well as the impact of various internal variables (sales/profit performance, company characteristics, and CEO characteristics) on marketing orientation levels. The results confirm some earlier research on marketing orientation and provide new insights into this important strategic dimension.

This paper aims to inform strategies to enhance public procurement opportunities for women-owned small- and medium-sized enterprises (SMEs). To do so, the study examines two research questions: To what extent are women-owned enterprises under-represented among SME suppliers to government; and Do barriers to public procurement – as perceived by SME owners – differ across gender?

The study draws on the resource-based view (RBV) of the firm and on theories of role congruity and social feminism to develop the study’s hypotheses. Empirical analyses rely on comparisons of a sample of 1,021 SMEs that had been suppliers to government and 9,376 employer firms that had not been suppliers to government. Data were collected by Statistics Canada and are nationally representative. Logistic regression analysis was used to control for systemic firm and owner differences.

Controlling firm and owner attributes, majority women-owned businesses were underrepresented as SME suppliers to government in some, but not all sectors. Women-owned SMEs in Wholesale and Retail and in Other Services were, ceteris paribus, half as likely as to be government suppliers as counterpart SMEs owned by men. Among Goods Producers and for Professional, Scientific and Technical Services SMEs, there were no significant gender differences in the propensity to supply the federal government. “Complexity of the contracting process” and “difficulty finding contract opportunities” were the obstacles to contracting cited most frequently.

The limitations of using secondary analyses of data are well documented and apply here. The findings reflect only the perspectives of “successful bidders” and do not capture SMEs that submitted bids but were not successful. Furthermore, the survey did not include questions about sub-contractor enterprises, data that would likely provide even more insights about SMEs in government supply chains. Accordingly, the study could not address sub-contracting strategies to increase the number of women-owned businesses on government contracts. Statistics Canada’s privacy protocols also limited the extent to which the research team could examine sub-groups of small business owners, such as visible minorities and Indigenous/Aboriginal persons. It is also notable that much of the SME literature, as well as this study, define gender as a dichotomous (women/female, men/male) attribute. Comparing women/female and men/males implicitly assumes within group homogeneity. Future research should use a more inclusive definition of gender. Research is also required to inform about the obstacles to government procurement among the population of SMEs that were unsuccessful in their bids.

The study provides benchmarks on, and directions to, enhance the participation of women-owned SMEs or enterprises in public procurement. Strategies to support women-owned small businesses that comply with United Nations Sustainable Development Goals are advanced.

The study offers insights to reconcile economic efficiency and social (gender equity) policy goals in the context of public procurement. The “policy-practice divides” in public procurement and women’s enterprise policies are discussed.

The study is among the first to use a feminist lens to examine the associations between gender of SME ownership and public procurement, while controlling for other salient owner and firm attributes.

The early care and education (ECE) workforce plays a pivotal role in shaping early childhood developmental trajectories and simultaneously experiences significant mental health disparities. The purpose of this study is to investigate how social determinants of health and external stressors are associated with the mental health of ECE staff, which represent a low-resourced segment of the workforce; how psychological capital (psycap) can mitigate these associations.

The authors administered an 89-item survey to 332 ECE staff employed in 42 Head Start centers in the USA. The authors ran three hierarchical linear regression models to analyze associations between social determinants of health, external sources of stress, psycap and potential moderation effects and mental health outcomes.

Individuals experiencing greater finance-related stress reported 0.15 higher scores on the depression scale and 0.20 higher scores on the anxiety scale than those experiencing less finance-related stress (p < 0.05). Individuals experiencing greater work-related stress reported 1.26 more days of poorer mental health in the past month than those experiencing less work-related stress (p < 0.01). After controlling for all sociodemographic variables and sources of stress, psycap was significantly and negatively associated with depressive symptomology (b-weight = −0.02, p < 0.01) and the number of poor mental health days reported in the past month (b-weight = −0.13, p < 0.05). Moderation models suggest that higher levels of psycap may mitigate the association between work-related stress and the number of poor mental health days reported in the past month (b-weight = −0.06, p = 0.02).

The implications of these findings suggest a need for policy change to mitigate social determinants of health and promote pay equity and multi-level interventio ns that target workplace-related stressors and psycap to combat poor mental health of the ECE workforce.