Klaas, Brian S., John McClendon and Thomas W. Gainey, 'Managing HR in the Small and Medium Enterprise: The Impact of Professional Employer Organizations', Entrepreneurship Theory and Practice, vol. 25, no. 1 (Fall 2000), pp. 107-24

2001 ◽  
Vol 10 (2) ◽  
pp. 245-247
2021 ◽  
pp. 1-21
Author(s):  
Laurence G. Weinzimmer ◽  
Eric J. Michel ◽  
Jennifer Robin

Abstract Drawing on Wales, Monsen, and McKelvie's (2011, Entrepreneurship Theory and Practice, 35(5), 895–923) model of entrepreneurial orientation pervasiveness and the strong culture hypothesis (Denison, 1984, Organization Dynamics, 13, 4–22), this study investigates how entrepreneurial orientation (EO) strength, defined as the level of agreement in the shared perceptions of EO, serves as a boundary condition of the EO–firm performance relationship. Four field studies provide evidence for a valid and reliable 10-item multidimensional measure of entrepreneurial orientation, the EO-10, which in turn, may be used to assess EO strength. We establish content and construct validity of the EO-10 (study 1; n = 447 employees), criterion-related validity with revenue growth and sales growth (study 2; n = 412 employees in 43 profit centers), and convergent validity with Covin and Slevin's (1989, Strategic Management Journal, 10, 75–87) 9-item measure (study 3; n = 291 employees). Finally, in study 4 (n = 853 employees nested in 22 organizations), we demonstrate the interactive effects of EO and EO strength on profit growth and revenue growth. In sum, this study provides conceptual and empirical evidence for the importance of EO strength as a moderator of the EO–firm performance relationship.


2020 ◽  
Vol 10 (1) ◽  
pp. 29-34
Author(s):  
Arif Perdana ◽  
Junaitha Gaffoor ◽  
Hwee Hoon Lee

This case illustrates the challenges in implementing data analytics in a small and medium enterprise. A small and medium enterprise in Singapore, The Cage, runs a sports facilities rental business that has adopted basic data analytics and enjoyed the benefits data analytics offers. Since implementing enterprise resource planning in 2016 for their business processes, it now has readily available financial and customer data. Using available data from its enterprise resource planning system, The Cage now wants to incorporate more advanced data analytics into its decision-making process. While The Cage acknowledges the impact of data analytics on its business, it encounters practical challenges in the data lifecycle, namely, data discovery, data collection, analysis and modelling building, and data governance.


Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 186
Author(s):  
Mariana Pita ◽  
Joana Costa ◽  
António Carrizo Moreira

Entrepreneurial Ecosystems (EEs) have attracted the attention of academics, practitioners, and policymakers, that attempt to unlock ‘a winning recipe’ considering the different EEs pillars in order to ignite entrepreneurship at large. Therefore, understanding the degree of influence of each pillar on Entrepreneurial Initiative (EI) is helpful in framing more effective policies towards entrepreneurship. This study aims to bring a new facet to entrepreneurship research, specifically on decomposing the transformation of EEs and the influence of EEs pillars on EI. The transformation of EEs is shown by a balanced panel approach based on the Global Entrepreneurship Monitor (GEM) dataset over 8 years (2010–2017), comprising 18 countries. The study has several implications for entrepreneurship theory and practice as well as public policy since discusses three main issues, mainly supported by empirical results. First, the results show an unbalanced influence of EEs pillars on EI. Second, results also show the ineffectiveness of institutions in encouraging the desire to act entrepreneurially. Third, entrepreneurship needs to be part of the acculturation process evidencing the importance of collective normative. Therefore, providing the instruments and structures is not enough to encourage individuals to start an entrepreneurial journey. Generally, the results reveal that contextual determinants are significant in fostering entrepreneurial propensity to start a business. But the impact of the nine pillars is not equalized, revealing a fragmented influence with funding measures, R&D transfer, and cultural and social norms discouraging entrepreneurial initiative. Overall, the study contributes to the understanding of a multidimensional perspective on EEs and points future policy directions to overcome the lack of entrepreneurship and amend flawed entrepreneurship policies.


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