Search results

This study analyzes the advantages and disadvantages of the electoral mechanism of local education superintendents in South Korea, draws conclusions and makes suggestions for future reforms.

The research method of this study included document analysis and interviews. Document analysis was used to collect and analyze the relevant official documents of education superintendents across countries. Semi-structured interviews were conducted with four professors and two superintendents.

The results of the interviews indicate the following: 1) Korean stakeholders are getting more familiar with the direct election of superintendents, as the interviews indicate a more mature direct election system due to previous experience and public officials taking direct election into account; 2) The direct election of superintendents has advantages and disadvantages. The advantages include increasing the participation of the general public in education, and the disadvantages include conflict between the central government and local superintendents belonging to different political parties. However, the current system is likely to be retained; 3) The superintendent systems in various countries differ due to their respective traditions and social contexts. However, the authors can always learn lessons and implications from foreign countries if the authors compare their education systems with their foreign counterparts.

As far research limitations, although this was a small study, it shows the importance of collecting multiple stakeholders' views on the direct election of education superintendents as a basis for future reform of education management.

The Korean system for electing superintendents provides a good model for other countries reflecting on the educational autonomy and accountabilities of their own systems.

The direct election of superintendents provides an example of professionalism, independence and political neutrality in education that other countries can learn from. The separation of general and educational administration in Korea through direct elections protects educational activities from political influence.

In terms of originality/value, this study adds a new perspective to the debate about whether the general public should directly elect education superintendents, as well as to the literature on local education management.

Large-scale farm management in China has developed rapidly in recent years. Large-scale farmers face substantial operating risks, requiring extensive price risk management. However, the agricultural insurance and futures markets in China are incomplete. This study aims to analyze the price-risk-management behaviors of large-scale farmers under incomplete market conditions, with a focus on the interconnections between large scale farmers' subjective preferences (risk preferences, time preferences), liquidity constraints and their price risk management.

The authors construct an analysis framework to reveal the impact of large-scale farmers' risk preferences, time preferences and liquidity conditions on their price-risk-management behaviors under incomplete market conditions. Using data from field surveys and subjective preference experiments involving 409 large-scale grain farmers in China, an empirical analysis was conducted using the bivariate probit model.

The results show that risk-averse farmers will use risk transfer (such as contract farming) and risk diversification (such as multi-period sales) to avoid price risk. However, farmers subject to liquidity constraints and strong time preferences will not choose risk diversification, and the interaction between time preferences and liquidity constraints will strengthen this decision. The larger the farm-management scale, the greater the impact.

The authors focus on rapidly developed large-scale farm management in China. Appropriate price risk management is required by large-scale farmers due to their substantial operating risks. Considering the incomplete conditions of agricultural insurance and futures markets, the results of this study will help identify behavioral characteristics of large-scale farmers and optimize their price-risk-management strategies, further stabilizing large-scale farm management.

Due to the Coronavirus 2019 (COVID-19) pandemic, education has been disrupted right from kindergarten to University. Globally, states are advocating for online learning. The COVID-19 pandemic had led to the closure of universities and it was not clear how long this would last. e-Learning was crucial. Lecturers were asked to complete their syllabuses and continue to teach and administer tests remotely. So far, there is a dearth of information on how Kenya’s higher education responded to the pandemic through online learning. This qualitative study utilized online platforms (zoom and Skype) for interviews. This study employed a constructivist approach to explore the faculty officials’ perception of online learning in Kenya’s institutions of higher education. Approximately 45 faculty officials from public universities were involved in this study. The study was carried out in three public universities in Western Kenya. The participants argued that online education was beneficial and primarily promoted online research and enabled them to connect with other practitioners in the global community. There were challenges associated with online learning for instance unreliable internet. This study’s results are hoped to inform the ministry of education and higher learning policies on making online effective and efficient to both the students and the lecturers. This will also be a fairer spring-ball for Kenya toward the realization of Vision 2030.

Our aim is to better understand access to finance and financial inclusion and how this impacts the development of female-run enterprises in Nigeria. In such a way, we can better understand the gendered context of entrepreneurship and the implications for business growth. This chapter adopts an interpretivist paradigm to explore the social reality within which entrepreneurship is enacted. Qualitative data are interpreted from semi-structured interviews of 10 Nigerian entrepreneurs, five males and five females. Findings reveal that, though structural support may be apparent, the entrepreneurial process of financing a business is characterised, in part, by social expectations of gender. It is through this social view of entrepreneurship that we provide an understanding of what it is to be entrepreneurial in practice. This chapter makes recommendations that in practice while financial institutions and policy makers may assume a ‘one size fits all’ approach to financial inclusion through different programmes currently available for entrepreneurs by the various governmental and non-governmental institutions in Nigeria, the context of gender has implications for the nature of business activity, particularly in a society characterised by patriarchy. This study also makes practical contributions for research and for practice.

In Denmark, there has been, over decades, an intensified political focus on how humanities research and doctoral education contribute to society. In this vein, the notion of impact has become a central part of the academic language, often associated with terms like use, effects and outputs, stemming from neoliberal ideologies. The purpose of this paper is to explore how humanities academics are living with the impact agenda, as both experienced researchers and as doctoral supervisors educating the next generation of researchers in this post-pandemic era. Specifically, the authors are interested in the supervisor-researcher relationship, that is, the relationship between how the supervisors navigate the impact agenda as researchers and then the way they tell their doctoral students to do likewise.

The authors have studied how the impact agenda is accommodated by humanities academics through a series of qualitative interviews with humanities researchers and humanities PhD supervisors, encompassing questions of how they are living with the expectation of impact and how it is embedded in their university and departmental context.

The study shows that there is no link between how the supervisors navigate the impact agenda in relation to their own research work and then the way they tell their doctoral students to approach it. Within the space of their own research, the supervisors engage in resistance practices towards the impact agenda in terms of minimal compliance, rejection or resignation, whereas in the space of supervision, the impact agenda is re-inscribed to embody other understandings. The supervisors want to protect their students from this agenda, especially in the knowledge that many of them are not going to stay in academia due to limited researcher career possibilities. Furthermore, the paper reveals a new understanding of the impact agenda as having a relational quality, and in two ways. One is through a positional struggle, the reshaping of power relations, between universities (or academics) and society (or the state and the market); the other is as a phenomenon very much lived among academics themselves, including between supervisors and their doctoral students within the institutional context.

This study opens up the impact agenda, showing what it means to be a humanities academic living with the effects of the impact agenda and trying to navigate this. The study is mapping and tracking out the many different meanings and variations of impact in all its volatility for academics concerned about it. In current, post-pandemic times, when manifold expectations are directed towards research and doctoral education, it is important to know more about how these expectations affect and are dealt with by those who are expected to commit to them.

This paper evaluates the precision of four metasearch engines (MSEs) – DuckDuckGo, Dogpile, Metacrawler and Startpage, to determine which metasearch engine exhibits the highest level of precision and to identify the metasearch engine that is most likely to return the most relevant search results.

The research is divided into two parts: the first phase involves four queries categorized into two segments (4-Q-2-S), while the second phase includes six queries divided into three segments (6-Q-3-S). These queries vary in complexity, falling into three types: simple, phrase and complex. The precision, average precision and the presence of duplicates across all the evaluated metasearch engines are determined.

The study clearly demonstrated that Startpage returned the most relevant results and achieved the highest precision (0.98) among the four MSEs. Conversely, DuckDuckGo exhibited consistent performance across both phases of the study.

The study only evaluated four metasearch engines, which may not be representative of all available metasearch engines. Additionally, a limited number of queries were used, which may not be sufficient to generalize the findings to all types of queries.

The findings of this study can be valuable for accreditation agencies in managing duplicates, improving their search capabilities and obtaining more relevant and precise results. These findings can also assist users in selecting the best metasearch engine based on precision rather than interface.

The study is the first of its kind which evaluates the four metasearch engines. No similar study has been conducted in the past to measure the performance of metasearch engines.

The COVID-19 outbreak reached a critical stage when it became imperative for public health systems to act decisively and design potential behavioral operational strategies aimed at containing the pandemic. Isolation through social distancing played a key role in achieving this objective. This research study examines the factors affecting the intention of individuals toward social distancing in India.

A correlation study was conducted on residents from across Indian states (N = 499). Online questionnaires were floated, consisting of health belief model and theory of planned behavior model, with respect to social distancing behavior initially. Finally, structural equation modeling was used to test the hypotheses.

The results show that perceived susceptibility (PS), facilitating conditions (FC) and subjective norms are the major predictors of attitude toward social distancing, with the effect size of 0.277, 0.132 and 0.551, respectively. The result also confirms that the attitude toward social distancing, perceived usefulness of social distancing and subjective norms significantly predict the Intention of individuals to use social distancing with the effect size of 0.355, 0.197 and 0.385, respectively. The nonsignificant association of PS with social distancing intention (IN) (H1b) is rendering the fact that attitude (AT) mediates the relationship between PS and IN; similarly, the nonsignificant association of FC with IN (H5) renders the fact that AT mediates the relationship between FC and IN.

The results of the study are helpful to policymakers to handle operations management of nudges like social distancing.

The research is one of its kind that explores the behavioral aspects of handling social nudges through FC.