Quality performance of teachers: work environment, work attitude, and principal supervision: qualitative investigation

One of the most important factors in the face of the educational system is the quality of teachers’ performance. The goal of this study is to ascertain whether the teachers’ high-quality performance is actually impacted by the work environment, work attitude, and principal supervision. In this qualitative investigation, the Heideggerian Phenomenology design was employed. This study seeks to comprehend the phenomenon from the participant’s point of view and through their experiences. In this study, the purposive method was employed, and participants were chosen to expound on their experiences as general education teachers at PAU Excellencia Global Academy Foundation, Inc., teaching in an inclusion classroom. It has been discovered that the key to creating a positive learning environment in the classroom is workgroup encouragement, especially having good relationships with the principal. How frequently teachers must deal with unruly and aggressive students have largely defined teaching obstacles. A teacher’s perception of the supportive environment at school improved as he or she gained experience

Assessing the impact of principal’s instructional leadership, school level, and effectiveness in educational institutions

This study aimed to investigate the relationship between instructional leadership and school effectiveness in educational institutions in Toledo City Division, Philippines. A mixed-methods approach was utilized, including a survey questionnaire and focus group discussions. The survey was administered to 13 school principals, while the focus group discussions involved 14 teachers and school administrators. The quantitative results showed that instructional leadership had a significant positive effect on school effectiveness, while school level did not have a significant effect. The qualitative findings highlighted the challenges faced by school principals in implementing effective instructional leadership practices, including resistance to change and limited resources. The importance of collaboration and communication between school principals, teachers, and the community in promoting effective instructional leadership practices was also emphasized. The comparative analysis of the quantitative and qualitative results revealed that while the survey results showed a significant positive relationship between instructional leadership and school effectiveness, the focus group discussions provided valuable insights into the challenges and strategies for effective implementation of instructional leadership practices. Overall, this study suggests that instructional leadership plays a critical role in enhancing school effectiveness in educational institutions in Toledo City Division, Philippines. The findings highlight the need for collaboration and communication between school leaders, teachers, and the community to ensure the success of instructional leadership practices. These findings have implications for educational policy and practice, emphasizing the importance of investing in instructional leadership development and support to improve school effectiveness

Cocreation in Health Workforce Planning to Shape the Future of the Health Care System in the Philippines.

Background: The Philippines passed landmark legislation in 2019 on universal health coverage, including reforms in the development of its health workforce, an essential building block of responsive health care systems. Health Workforce Planning Cocreation Process: We based our planning process on a model of cocreation defined as sharing power and decision making to solve problems collaboratively and build consensus around action. Through cocreation with policy makers, researchers, and other stakeholders, we performed projection studies on 10 selected health professions and estimated the need for primary care at national and subnational levels, which was the most extensive health workforce projection carried out by the Philippine Department of Health to date. We determined health workforce requirements based on target densities recommended by the World Health Organization and a health needs approach that considered epidemiological and sociodemographic factors. In consultation with stakeholders, we interpreted our analysis to guide recommendations to address issues related to health workforce quantity, skill mix, and distribution. These included a broad range of proposals, including task shifting, expanding scholarships and deployment, reforming health professionals’ education, and pursuing a whole-of-society approach, which together informed the National Human Resources for Health Master Plan. Conclusions: Our cocreation model offers lessons for policy makers, program managers, and researchers in low- and middle-income countries who deal with health workforce challenges. Cocreation led to relationship building between policy makers and researchers who jointly performed the research and identified solutions through open communication and agile coordination. To shape future health care systems that are responsive both during normal times and during crises, cocreation would be essential for evidence-informed policy development and policy-relevant research

Cocreation in Health Workforce Planning to Shape the Future of the Health Care System in the Philippines

Background The Philippines passed landmark legislation in 2019 on universal health coverage, including reforms in the development of its health workforce, an essential building block of responsive health care systems. Health Workforce Planning Cocreation Process We based our planning process on a model of cocreation defined as sharing power and decision making to solve problems collaboratively and build consensus around action. Through cocreation with policy makers, researchers, and other stakeholders, we performed projection studies on 10 selected health professions and estimated the need for primary care at national and subnational levels, which was the most extensive health workforce projection carried out by the Philippine Department of Health to date. We determined health workforce requirements based on target densities recommended by the World Health Organization and a health needs approach that considered epidemiological and sociodemographic factors. In consultation with stakeholders, we interpreted our analysis to guide recommendations to address issues related to health workforce quantity, skill mix, and distribution. These included a broad range of proposals, including task shifting, expanding scholarships and deployment, reforming health professionals’ education, and pursuing a whole-of-society approach, which together informed the National Human Resources for Health Master Plan. Conclusions Our cocreation model offers lessons for policy makers, program managers, and researchers in low- and middle-income countries who deal with health workforce challenges. Cocreation led to relationship building between policy makers and researchers who jointly performed the research and identified solutions through open communication and agile coordination. To shape future health care systems that are responsive both during normal times and during crises, cocreation would be essential for evidence-informed policy development and policy-relevant research

The novel CXCR4 antagonist POL5551 mobilizes hematopoietic stem and progenitor cells with greater efficiency than Plerixafor

Mobilized blood has supplanted bone marrow (BM) as the primary source of hematopoietic stem cells for autologous and allogeneic stem cell transplantation. Pharmacologically enforced egress of hematopoietic stem cells from BM, or mobilization, has been achieved by directly or indirectly targeting the CXCL12/CXCR4 axis. Shortcomings of the standard mobilizing agent, granulocyte colony-stimulating factor (G-CSF), administered alone or in combination with the only approved CXCR4 antagonist, Plerixafor, continue to fuel the quest for new mobilizing agents. Using Protein Epitope Mimetics technology, a novel peptidic CXCR4 antagonist, POL5551, was developed. In vitro data presented herein indicate high affinity to and specificity for CXCR4. POL5551 exhibited rapid mobilization kinetics and unprecedented efficiency in C57BL/6 mice, exceeding that of Plerixafor and at higher doses also of G-CSF. POL5551-mobilized stem cells demonstrated adequate transplantation properties. In contrast to G-CSF, POL5551 did not induce major morphological changes in the BM of mice. Moreover, we provide evidence of direct POL5551 binding to hematopoietic stem and progenitor cells (HSPCs) in vivo, strengthening the hypothesis that CXCR4 antagonists mediate mobilization by direct targeting of HSPCs. In summary, POL5551 is a potent mobilizing agent for HSPCs in mice with promising therapeutic potential if these data can be orroborated in humans

Idelalisib sensitivity and mechanisms of disease progression in relapsed TCF3-PBX1 acute lymphoblastic leukemia

Peer reviewe

Prediction of self-compacting concrete elastic modulus using two symbolic regression techniques

yesThis paper introduces a novel symbolic regression approach, namely biogeographical-based programming (BBP), for the prediction of elastic modulus of self-compacting concrete (SCC). The BBP model was constructed directly from a comprehensive dataset of experimental results of SCC available in the literature. For comparison purposes, another new symbolic regression model, namely artificial bee colony programming (ABCP), was also developed. Furthermore, several available formulas for predicting the elastic modulus of SCC were assessed using the collected database. The results show that the proposed BBP model provides slightly closer results to experiments than ABCP model and existing available formulas. A sensitivity analysis of BBP parameters also shows that the prediction by BBP model improves with the increase of habitat size, colony size and maximum tree depth. In addition, among all considered empirical and design code equations, Leemann and Hoffmann and ACI 318-08’s equations exhibit a reasonable performance but Persson and Felekoglu et al.’s equations are highly inaccurate for the prediction of SCC elastic modulus

Pericoronary and periaortic adipose tissue density are associated with inflammatory disease activity in Takayasu arteritis and atherosclerosis.

AimsTo examine pericoronary adipose tissue (PCAT) and periaortic adipose tissue (PAAT) density on coronary computed tomography angiography for assessing arterial inflammation in Takayasu arteritis (TAK) and atherosclerosis.Methods and resultsPCAT and PAAT density was measured in coronary (n = 1016) and aortic (n = 108) segments from 108 subjects [TAK + coronary artery disease (CAD), n = 36; TAK, n = 18; atherosclerotic CAD, n = 32; matched controls, n = 22]. Median PCAT and PAAT densities varied between groups (mPCAT: P P = 0.0002). PCAT density was 7.01 ± standard error of the mean (SEM) 1.78 Hounsfield Unit (HU) higher in coronary segments from TAK + CAD patients than stable CAD patients (P = 0.0002), and 8.20 ± SEM 2.04 HU higher in TAK patients without CAD than controls (P = 0.0001). mPCAT density was correlated with Indian Takayasu Clinical Activity Score (r = 0.43, P = 0.001) and C-reactive protein (r = 0.41, P P = 0.002). mPCAT density above -74 HU had 100% sensitivity and 95% specificity for differentiating active TAK from controls [area under the curve = 0.99 (95% confidence interval 0.97-1)]. The association of PCAT density and coronary arterial inflammation measured by 68Ga-DOTATATE positron emission tomography (PET) equated to an increase of 2.44 ± SEM 0.77 HU in PCAT density for each unit increase in 68Ga-DOTATATE maximum tissue-to-blood ratio (P = 0.002). These findings remained in multivariable sensitivity analyses adjusted for potential confounders.ConclusionsPCAT and PAAT density are higher in TAK than atherosclerotic CAD or controls and are associated with clinical, biochemical, and PET markers of inflammation. Owing to excellent diagnostic accuracy, PCAT density could be useful as a clinical adjunct for assessing disease activity in TAK

The MC1R gene in the guppy (Poecilia reticulata): Genotypic and phenotypic polymorphisms

<p>Abstract</p> <p>Background</p> <p>The guppy (<it>Poecilia reticulata</it>) is an important model organism for studying sexual selection; male guppies have complex and conspicuous pigmentation, and female guppies exhibit preferences for males with specific color spots. Understanding the genetic basis underlying pigmentation variation in the guppy is important for exploring the factors causing the maintenance of color polymorphism in wild populations.</p> <p>Findings</p> <p>We focused on the melanic black pigmentation of guppies, and examined genetic variations in the <it>melanocortin 1 receptor </it>(<it>MC1R</it>) gene because variation in this gene is known to contribute to polymorphism of melanin pigmentation in several animal species. The complete coding sequence of the guppy <it>MC1R </it>gene was determined, and two different <it>MC1R </it>alleles (963 and 969 bp) were found in wild populations. Ornamental strain guppies with a 963-bp <it>MC1R </it>tended to show less black pigmentation than those with a 969-bp <it>MC1R</it>, although the association between <it>MC1R </it>genotype and black pigmentation disappeared in the F₂offspring.</p> <p>Conclusions</p> <p>The guppy <it>MC1R </it>gene showed variation in the five wild Trinidadian populations we examined, and these populations also differed in terms of allele frequencies. We identified a significant association between black pigmentation and <it>MC1R </it>genotype in fish obtained from aquarium shops. However, the results from F₂families suggest that there are other genes that modify the effects of the <it>MC1R </it>gene.</p

Wellbeing indicators affecting female entrepreneurship in OECD countries

[EN] The objective of this research is to know which wellbeing indicators, such as work-life balance, educational level, income or job security, are related to the rate of female entrepreneurship in 29 OECD countries. In addition, these countries have been classified according to the motivation of the entrepreneur either by necessity or by opportunity. The empiric study is focused on 29 OECD countries covering the different geographic areas (Western Europe, Central and Eastern Europe, Middle East, etc.) Due to the fact that the sample is relatively small, it is essential to use a selective approach when selecting the causal conditions. To this end, fsQCA is the most appropriate methodology for such a small data set. A total of 5 variables have been used: an independent variable (female TEA ratio), and four dependent variables (work life balance, educational level, sustainable household income and job security). Data measuring female TEA ratio have been obtained from Global Entrepreneur Monitor (GEM in Global report, 2015) data base, while data measuring wellbeing dimensions were taken from the Better Life Index (OECD in How¿s life? Measuring wellbeing, 2015. http://www.oecdbetterlifeindex.org). The results of this piece of research show that countries with high sustainable household income together with high level of education achieves high female entrepreneurship ratio with both, a good work-life balance (despite of a high unemployment probability), or a high labour-personal imbalance (in this latter, with a low probability of unemployment).This work has been funded by the R + D project for emerging research groups with reference (GVA) GV/2016/078.Ribes-Giner, G.; Moya Clemente, I.; Cervelló Royo, RE.; Perelló Marín, MR. (2019). Wellbeing indicators affecting female entrepreneurship in OECD countries. Quality & Quantity. 53(2):915-933. https://doi.org/10.1007/s11135-018-0796-4S915933532Ahl, H., Nelson, T.: How policy positions women entrepreneurs: a comparative analysis of state discourse in Sweden and the United States. J. Bus. Ventur. 30(2), 273–291 (2015). https://doi.org/10.1016/j.jbusvent.2014.08.002Andersson, P.: Happiness and health: wellbeing among the self-employed. J. Socio-Econ. 37(1), 213–236 (2008). https://doi.org/10.1016/j.socec.2007.03.003Bardasi, E., Sabarwal, S., Terrell, K.: How do female entrepreneurs perform? Evidence from three developing regions. Small Bus. Econ. 37(4), 417–441 (2011). https://doi.org/10.1007/s11187-011-9374-zBergheim, S., Schneider, S., Giesel, B., Walter, N.: Measures of Wellbeing. There is More to it Than GDP. Deutsche Bank Research, Frankfurt (2006)Berglund, H.: Between cognition and discourse: phenomenology and the study of entrepreneurship. Int. J. Entrep. Behav. Res. 21(3), 472–488 (2015). https://doi.org/10.1108/IJEBR-12-2013-0210Bianchi, M., Parisi, V., Salvatore, R.: Female entrepreneurs: motivations and constraints. An Italian regional study. Int. J. Gend. Entrep. 8(3), 198–220 (2016). https://doi.org/10.1108/IJGE-08-2015-0029Bittencourt Marconatto, D.A., Barin-Cruz, L., Pozzebon, M., Poitras, J.E.: Developing sustainable business models within BOP contexts: mobilizing native capability to cope with government programs. J. Clean. Prod. 129, 735–748 (2016). https://doi.org/10.1016/j.jclepro.2016.03.038Boarini, R., Comola, M., Smith, C., Manchin, R., de Keulenaer, F.: What makes for a better life? The determinants of subjective well-being in OECD countries—evidence from the Gallup World Poll. OECD statistics working papers, 2012(3), 0_1 (2012). https://doi.org/10.1787/5k9b9ltjm937-enBoarini, R., D’Ercole, M.M.: Going beyond GDP: an OECD perspective. Fisc. Stud. 34(3), 289–314 (2013). https://doi.org/10.1111/j.1475-5890.2013.12007.xBradshaw, J., Hoelscher, P., Richardson, D. (eds.): Comparing child well-being in OECD countries: Concepts and methods. Innocenti working paper, IWP-2006-03. UNICEF Innocenti Research Centre, Florence, Italy (2007)Brindley, C.: Barriers to women achieving their entrepreneurial potential. Int. J. Entrep. Behav. Res. Emerald Group Publishing Limited (2005). Retrieved from http://www.emeraldinsight.com/doi/full/10.1108/13552550510590554Burke, A.E., Fitzroy, F.R., Nolan, M.A.: What makes a die-hard entrepreneur? Beyond the “employee or entrepreneur” dichotomy. Small Bus. Econ. 31(2), 93–115 (2008). https://doi.org/10.1007/s11187-007-9086-6Buttner, H.E., Moore, D.P.: Women’s organizational exodus to entrepreneurship: self-reported motivations and correlates with success. J. Small Bus. Manag. 35(1), 34–46 (1997). Retrieved from http://search.ebscohost.comCarter, S.: The rewards of entrepreneurship: exploring the incomes, wealth, and economic wellbeing of entrepreneurial households. Entrep. Theory Pract. 35(1), 39–55 (2011)Castaño, M.-S., Méndez, M.-T., Galindo, M.Á.: The effect of social, cultural, and economic factors on entrepreneurship. J. Bus. Res. 68(7), 1496–1500 (2015). https://doi.org/10.1016/j.jbusres.2015.01.040Castellano, R., Musella, G., Punzo, G.: Structure of the labour market and wage inequality: evidence from European countries. Qual. Quant. 51(5), 2191–2218 (2017)Cervelló-Royo, R., Moya-Clemente, I., Ribes-Giner, G.: Microfinance Institutions (MFIs) in Latin America: Who should finance the entrepreneurial ventures of the less privileged? In: Peris-Ortiz, M., Sahut, J.-M. (eds.) New Challenges in Entrepreneurship and Finance, pp. 235–245. Springer, Cham (2015)Cervelló-Royo, R., Guijarro, F., Martinez-Gomez, V.: Social performance considered within the global performance of Microfinance Institutions: a new approach. Oper. Res. (2017). https://doi.org/10.1007/s12351-017-0360-3Chaaban, J., Irani, A., Khoury, A.: The composite global wellbeing index (CGWBI): a new multi-dimensional measure of human development. Soc. Indic. Res. 129(1), 465–487 (2016). https://doi.org/10.1007/s11205-015-1112-5Chapple, S.: Child wellbeing and sole-parent family structure in the OECD: an analysis. OECD. Social, employment, and migration working papers (82), 0_1 (2009)Christofides, L.N., Polycarpou, A., Vrachimis, K.: Gender wage gaps, “sticky floors” and “glass ceilings” in Europe. Labour Econ. 21, 86–102 (2013). https://doi.org/10.1016/j.labeco.2013.01.003Cumming, D., Hou, W., Lee, E.: Sustainable and ethical entrepreneurship, corporate finance and governance, and institutional reform in China. J. Bus. Ethics 134(4), 505–508 (2016). https://doi.org/10.1007/s10551-014-2381-7Cummins, R.A., Eckersley, R., Pallant, J., Van Vugt, J., Misajon, R.: Developing a national index of subjective wellbeing: the Australian Unity Wellbeing Index. Soc. Indic. Res. 64(2), 159–190 (2003). https://doi.org/10.1023/A:1024704320683De la Cruz Sánchez-Escobedo, M., Díaz-Casero, J.C., Díaz-Aunión, Á.M., Hernández-Mogollón, R.: Gender analysis of entrepreneurial intentions as a function of economic development across three groups of countries. Int. Entrep. Manag. J. 10(4), 747–765 (2014). https://doi.org/10.1007/s11365-014-0314-7Diener, E.: Subjective wellbeing. In: Diener, E. (ed.) The Sicence of Wellbeing, pp. 11–58. Springer, Dordrecht (2009). https://doi.org/10.1007/978-90-481-2350-6_2Dodge, R., Daly, A., Huyton, J., Sanders, L.: The challenge of defining wellbeing. Int. J. Wellbeing 2(3), 222–235 (2012). https://doi.org/10.5502/ijw.v2i3.4Fiss, P.C.: Building better casual theories: a fuzzy set approach to typologies in organization research. Acad. Manag. J. 54(2), 393–420 (2011)Fleche, S., Smith, C., Sorsa, P.: Exploring determinants of subjective wellbeing in OECD countries (2011)Fleche, S., Smith, C., Sorsa, P.: Exploring determinants of subjective wellbeing in OECD countries evidence from the world value survey. Working papers, OECD Statistics (2012). https://doi.org/10.1787/5kg0k6zlcm5k-enFoley, A., Griffith, B.: Education, training and the promotion of high quality entrepreneurs in the Republic of Ireland. In: Scott, M.G., Rosa, P., Klandt, H. (eds.) Educating Entrepreneurs for Wealth Creation. Ashgate, Aldershot (1998)Garikipati, S.: Microcredit and women’s empowerment: through the lens of time-use data from rural India. Dev. Change 43(3), 719–750 (2012). https://doi.org/10.1111/j.1467-7660.2012.01780.xGEM (Global Entrepreneurship Monitor): Global report (2015)Harter, J.K., Schmidt, F.L., Keyes, C.L.M.: Wellbeing in the workplace and its relationship to business outcomes. A review of the Gallup studies. In: Keyes, C.L.M., Haidt, J. (eds.) Flourishing: The Positive Person and the Good Life, pp. 205–224. American Psychologi cal Association, Washington (2003)Henry, C., Foss, L., Ahl, H.: Gender and entrepreneurship research: a review of methodological approaches. Int. Small Bus. J. 34(3), 217–241 (2015). https://doi.org/10.1177/0266242614549779Hessels, J., Van Gelderen, M., Thurik, R.: Entrepreneurial aspirations, motivations, and their drivers”. Small Bus. Econ. 31(3), 323–339 (2008). https://doi.org/10.1007/s11187-008-9134-xIezzi, D.F., Deriu, F.: Women active citizenship and wellbeing: the Italian case. Qual. Quant. 48(2), 845–862 (2014)Jansson, T.: Housing choices and labor income risk. J. Urban Econ. 99, 107–119 (2017). https://doi.org/10.1016/j.jue.2016.12.006Johansen, V., Foss, L.: The effects of entrepreneurship education—does gender matter? Int. J. Entrep. Small Bus. 20(3), 255–271 (2013). https://doi.org/10.1504/IJESB.2013.056889Judge, W.Q., Hu, H.W., Gabrielsson, J., Talaulicar, T., Witt, M.A., Zattoni, A., Kibler, B.: Configurations of capacity for change in entrepreneurial threshold firms: imprinting and strategic choice perspectives. J. Manag. Stud. 52(4), 506–530 (2015). https://doi.org/10.1111/joms.12121Kautonen, T., Kibler, E., Minniti, M.: Late-career entrepreneurship, income and quality of life. J. Bus. Ventur. 32(3), 318–333 (2017). https://doi.org/10.1016/j.jbusvent.2017.02.005Kephart, P., Schumacher, L.: Has the “glass ceiling” cracked? An exploration of women entrepreneurship. J. Leadersh. Organ. Stud. 12(1), 2–15 (2005). https://doi.org/10.1177/107179190501200102Kirkwood, J.: Motivational factors in a push–pull theory of entrepreneurship. Gend. Manag. Int. J. 24(5), 346–364 (2009). https://doi.org/10.1108/17542410910968805Kobeissi, N.: Gender factors and female entrepreneurship: International evidence and policy implications. J. Int. Entrep. 8, 1–35 (2010). Retrieved from https://doi.org/10.1007/s10843-010-0045-yKuckertz, A., Berger, E.S.C., Allmendinger, M.P.: What drives entrepreneurship? A configurational analysis of the determinants of entrepreneurship in innovation-driven economies. Die Betriebswirtschaft/Bus. Adm. Rev. 75(4), 273–288 (2015). https://doi.org/10.1017/cbo9781107415324.004La Placa, V., McNaught, A., Knight, A.: Discourse on wellbeing in research and practice. Int. J. Wellbeing 3, 116–125 (2013). https://doi.org/10.5502/ijw.v3i1.7Langowitz, N., Minniti, M.: The entrepreneurial propensity of women. Entrep. Theory Pract. 31(3), 341–364 (2007). https://doi.org/10.1111/j.1540-6520.2007.00177.xLee, S.S.Y.: Examining policy configurations as conditions for long-term unemployment and non-standard employment in OECD countries using fuzzy-set analysis. Qual. Quant. 47(6), 3521–3536 (2013)Leffler, E., Svedberg, G.: Enterprise learning: a challenge to education? Eur. Educ. Res. J. 4(3), 219–227 (2005)Levie, J., Autio, E.: A theoretical grounding and test of the GEM model. Small Bus. Econ. 31(3), 235–263 (2008). https://doi.org/10.1007/s11187-008-9136-8Maccagnan, A., Wren-Lewis, S., Brown, H., Taylor, T.: Wellbeing and society: towards quantification of the co-benefits of wellbeing. Soc. Indic. Res. 1–27 (2018)Mandl, C., Berger, E.S.C., Kuckertz, A.: Do you plead guilty? Exploring entrepreneurs’ sensemaking-behavior link after business failure. J. Bus. Ventur. Insights 5, 9–13 (2016). https://doi.org/10.1016/j.jbvi.2015.12.002Martin, B.C., McNally, J.J., Kay, M.J.: Examining the formation of human capital in entrepreneurship: a meta-analysis of entrepreneurship education outcomes. J. Bus. Ventur. 28(2), 211–224 (2013). https://doi.org/10.1016/j.jbusvent.2012.03.002McClelland, E., Swail, J., Bell, J., Ibbotson, P.: Following the pathway of female entrepreneurs. Int. J. Entrep. Behav. Res. 11(2), 84–107 (2005). https://doi.org/10.1108/13552550510590527Millán, J.M., Hessels, J., Thurik, R., Aguado, R.: Determinants of job satisfaction: a European comparison of self-employed and paid employees. Small Bus. Econ. 40(3), 651–670 (2013). https://doi.org/10.1007/s11187-011-9380-1Minniti, M., Nardone, C.: Being in someone else’s shoes: the role of gender in nascent entrepreneurship. Small Bus. Econ. 28(2–3), 223–238 (2007). https://doi.org/10.1007/s11187-006-9017-yMishra, V., Nielsen, I., Smyth, R.: How does relative income and variations in short-run wellbeing affect wellbeing in the long run? Empirical evidence from China’s Korean minority. Soc. Indic. Res. 115(1), 67–91 (2014)Murias, P., Martinez, F., de Miguel, C.: An economic wellbeing index for the Spanish provinces: a data envelopment analysis approach. Soc. Indic. Res. 77(3), 395–417 (2006). https://doi.org/10.1007/s11205-005-2613-4Naudé, W., Amorós, J.E., Cisti, O.: Surfeiting, the appetite may sticken: entrepreneurship and happiness. Small Bus. Econ. 42(3), 523–540 (2014)Ng, T.W.H., Feldman, D.C.: Re-examining the relationship between age and voluntary turnover. J. Vocat. Behav. 74(3), 283–294 (2009). https://doi.org/10.1016/j.jvb.2009.01.004O’Connor, A.: A conceptual framework for entrepreneurship education policy: meeting government and economic purposes. J. Bus. Ventur. 28(4), 546–563 (2013). https://doi.org/10.1016/j.jbusvent.2012.07.003Organisation for Economic Co-operation and Development (OECD): OECD guidelines on measuring subjective well-being (2013)Organization for Economic Cooperation and Development: How’s Life? Measuring Wellbeing (2015). http://www.oecdbetterlifeindex.org . Accessed 28 May 2017Orlova, L.V., Sakhabieva, G.A., Vasyaycheva, V.A., Pronina, N.N.: Impact of educational attainment on the development of female entrepreneurship in Kazakhstan. Indian J. Sci. Technol. (2016). https://doi.org/10.17485/ijst/2016/v9i11/89427Osberg, L., Sharpe, A.: An index of economic wellbeing for selected OECD countries. Rev. Income Wealth 5(3), 291–316 (2002). https://doi.org/10.1111/1475-4991.00056Osberg, L., Sharpe, A.: New Estimates of the Index of Economic Wellbeing for Selected OECD Countries, 1980–2007. Centre for the Study of Living Standards, Ottawa (2009)Parasuraman, S., Purohit, Y.S., Godshalk, V.M., Beutell, N.J.: Work and family variables, entrepreneurial career success, and psychological wellbeing. J. Vocat. Behav. 48(3), 275–300 (1996). https://doi.org/10.1006/jvbe.1996.0025Parasuraman, S., & Simmers, C.A.: Type of employment, work–family conflict and well-being: a comparative study. J. Organ. Behav.: Int. J Ind., Occup. Organ. Psychol. Behav. 22(5), 551–568 (2001)Patrick, C., Stephens, H., Weinstein, A.: Where are all the self-employed women? Push and pull factors influencing female labor market decisions. Small Bus. Econ. 46(3), 365–390 (2016). https://doi.org/10.1007/s11187-015-9697-2Poggesi, S., Mari, M., De Vita, L.: What’s new in female entrepreneurship research? Answers from the literature. Int. Entrep. Manag. J. 12(3), 735–764 (2015). https://doi.org/10.1007/s11365-015-0364-5Ragin, C.: The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. University of California Press, Berkeley (1987)Ragin, C.C.: New directions in comparative research. In: Kohn, M.L. (ed.) Cross-National Research in Sociology, pp. 57–76. Sage, Newbury Park (1989)Ragin, C.C.: Fuzzy-Set Social Science. University of Chicago Press, Chicago (2000)Ragin, Charles C., Sonnett, J.: Between complexity and parsimony: limited diversity, counterfactual cases, and comparative analysis. In: Ragin, Charles C. (ed.) Redesigning Social Inquiry. University of Chicago Press, Chicago (2004)Ragin, C.C.: Redesigning Social Inquiry: Fuzzy Sets and Beyond, vol. 240. University of Chicago Pres, Chicago (2008)Rahman, S.A., Amran, A., Ahmad, N.H., Taghizadeh, S.K.: Enhancing the wellbeing of base of the pyramid entrepreneurs through business success: the role of private organizations. Soc. Indic. Res. 127(1), 195–216 (2016). https://doi.org/10.1007/s11205-015-0951-4Renee Baptiste, N.: Tightening the link between employee wellbeing at work and performance. Manag. Decis. 46(2), 284–309 (2008). https://doi.org/10.1108/00251740810854168Rey-Martí, A., Tur Porcar, A., Mas-Tur, A.: Linking female entrepreneurs’ motivation to business survival. J. Bus. Res. 68(4), 810–814 (2015). https://doi.org/10.1016/j.jbusres.2014.11.033Reynolds, P.D., Bygrave, W.D., Autio, E., Cox, L.W., Hay, M.: Global entrepreneurship monitor, 2002 executive report. London (2002)Ribes-Giner, G., Moya-Clemente, I., Cervelló-Royo, R., Perello-Marin, M.R.: Domestic economic and social conditions empowering female entrepreneurship. J. Bus. Res. 89, 182–189 (2018)Ruth Eikhof, D., Summers, J., Carter, S., Eikhof, D.R., Summers, J., Carter, S.: Women doing their own thing: media representations of female entrepreneurship. Int. J. Entrep. Behav. Res. 19(5), 547–564 (2013). https://doi.org/10.1108/IJEBR-09-2011-0107Sampedro Gallego, R., Camarero Rioja, L.: Female entrepreneurs in rural Spain—the failed subject of development. Rev. Int. Sociol. 65(48), 121–146 (2007)Saridakis, G., Marlow, S., Storey, D.J.: Do different factors explain male and female self-employment rates? J. Bus. Ventur. 29(3), 345–362 (2014). https://doi.org/10.1016/j.jbusvent.2013.04.004Shepherd, D.A., Douglas, E.J., Shanley, M.: New venture survival: ignorance, external shocks, and risk reduction strategies. J. Bus. Ventur. 15(5), 393–410 (2000). https://doi.org/10.1016/S0883-9026(98)00008-1Shepherd, D., Haynie, J.M.: Birds of a feather don’t always flock together: identity management in entrepreneurship. J. Bus. Ventur. 24(4), 316–337 (2009). https://doi.org/10.1016/j.jbusvent.2007.10.005Shinnar, R.S., Hsu, D.K., Powell, B.C.: Self-efficacy, entrepreneurial intentions, and gender: assessing the impact of entrepreneurship education longitudinally. Int. J. Manag. Educ. 12(3), 561–570 (2014). https://doi.org/10.1016/j.ijme.2014.09.005Shir, N.: Entrepreneurial Wellbeing: The Payoff Structure of Business Creation. Stockholm School of Economics, Stockholm (2015)Thiem, A., Dusa, A.: QCA: a package for qualitative comparative analysis. R package version 2.0. R J. 5, 87–97 (2013). Retrieved from https://cran.r-project.org/web/packages/QCA/index.htmlTorri, M.M.C., Martinez, A.: Women’s empowerment and micro-entrepreneurship in India: constructing a new development paradigm? Prog. Dev. Stud. 14(1), 31–48 (2014). https://doi.org/10.1177/1464993413504347Tur-Porcar, A., Mas-Tur, A., Belso, J.A.: Barriers to women entrepreneurship. Different methods, different results? Qual. Quant. 51(5), 2019–2034 (2017)Uy, M.A., Foo, M.Der, Song, Z.: Joint effects of prior start-up experience and coping strategies on entrepreneurs’ psychological wellbeing. J. Bus. Ventur. 28(5), 583–597 (2013). https://doi.org/10.1016/j.jbusvent.2012.04.003Uy, M.A., Sun, S., Foo, M.Der: Affect spin, entrepreneurs’ wellbeing, and venture goal progress: the moderating role of goal orientation. J. Bus. Ventur. 32(4), 443–460 (2017). https://doi.org/10.1016/j.jbusvent.2016.12.001Van der Sluis, J., Van Praag, M., Vijverberg, W.: Education and entrepreneurship selection and performance: a review of empirical literature. J. Econ. Surv. 22(5), 795–841 (2008)Verheul, I., Stel, A.Van, Thurik, R.: Explaining female and male entrepreneurship at the country level. Entrep. Reg. Dev. 18(2), 151–183 (2006). https://doi.org/10.1080/08985620500532053Witbooi, M., Ukpere, W.: Indigenous female entrepreneurship: analytical study on access to finance for women entrepreneurs in South Africa. Afr. J. Bus. Manag. 5(14), 5646–5657 (2011)Woodside, A.G., Bernal, P.M., Coduras, A.: The general theory of culture, entrepreneurship, innovation, and quality-of-life: comparing nurturing versus thwarting enterprise start-ups in BRIC, Denmark, Germany, and the United States. Ind. Mark. Manag. (2015). https://doi.org/10.1016/j.indmarman.2015.11.00