Review of Scandinavian leadership development programs: Open and closed customization

Leadership development programs (LDPs) have proliferated and diversified but still usually share the ambition of involving the participants’ on-the-job experiences. Yet, the dominant view hereof is crude, not acknowledging the variety of ways used to accomplish it. The Scandinavian context is illustrative for reviewing what we term ‘customization devices’ because of its tradition for LDPs with collective reflection, practice orientation, and broad participation. This review curates and synthesizes 31 studies evaluating empirical experiences with customization devices in Scandinavian university-based LDPs from no earlier than 2010. Such devices fall within three key categories, namely theories, cases, and relationships, and have three key effects: distancing from practice, dedicating to the program, and devising future action. Based on our findings, we challenge the dominant view that open enrollment programs cannot adequately mobilize participants’ experiences by theorizing the distinction between open and closed customization. The review further serves as a resource for LDP designers and instructors to carefully choose and mix customization devices that are complementary in their effects.     

A mass vaccination site selection problem: An application of GIS and entropy-based MAUT approach

Coronavirus disease (COVID-19) was recognized in December 2019 and spread very severely throughout the world. In 2022 May, the total death numbers reached 6.28 million people worldwide. During the pandemic, some alternative vaccines were discovered in the middle of 2020. Today, many countries are struggling to supply vaccines and vaccinate their citizens. Besides the difficulties of vaccine supply, mass vaccination is a challenging but mandatory task for the countries. Within this context, determining the mass vaccination site is very important for recovering, thus a five-step approach is generated in this paper to solve this real-life problem. Firstly the mass vaccination site selection criteria are determined, and secondly, the spatial data are collected and mapped by using Geographical Information System (GIS) software. Then, the entropy weighting method (EWM) is used for determining the relative importance levels of criteria and fourthly, the multiple attribute utility theory (MAUT) approach is used for ranking the potential mass vaccination sites. Lastly, ranked alternative sites are analyzed using network analyst tool of GIS in terms of covered population. A case study is conducted in Gaziantep city which is the ninth most population and having above-average COVID-19 patients in Turkey. As a result, the fourth alternative (around the Şehitkamil Monument) is chosen as the best mass vaccination site for the city. It is believed that the outcomes of the paper could be used by city planners and decision-makers.     

The impact of “Mass Entrepreneurship and Innovation” policy on SMEs’ innovation: Using quasi-natural experiments

This study presents an in-depth investigation of the impact of “Mass Entrepreneurship and Innovation” (MEI) policy on small and medium-sized enterprises’ (SMEs’) innovation using the propensity score matching–difference-in-difference method. The MEI policy's R&D subsidies are found to generate a positive effect on SMEs’ innovation. Although R&D subsidies have no significant impact on SMEs’ strategic innovation, they can promote substantial innovation and establish a solid microfoundation for China's high-quality development. Compared with R&D subsidies, tax incentives in the MEI policy cannot encourage SMEs to innovate and may even have a negative impact on SMEs’ innovation.