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Register a new userMission Statements in Universities: Readability and performance
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The mission statement(s) (MS) is one of the most-used tools for planning and management. Universities worldwide have implemented MS in their knowledge planning and management processes since the 1980s. Research studies have extensively explored the content and readability of MS and its effect on performance in firms, but their effect on public or nonprofit institutions such as universities has not been scrutinized with the same intensity. This study used Gunnings Fog Index score to determine the readability of a sample of worldwide universities MS and two rankings, i.e., Quacquarelli Symonds World University Ranking and SCImago Institutions Rankings, to determine their effect on performance. No significant readability differences were identified in regions, size, focus, research type, age band, or status. Logistic regression (cumulative link model) results showed that variables, such as universities age, focus, and size, have more-significant explanatory power on performance than MS readability.
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The mission statement (MS) is the most used organizational strategic planning tool worldwide. The relationship between an MS and an organizations financial performance has been shown to be significantly positive, albeit small. However, an MSs relationship to the macroeconomic environment and to organizational innovation has not been investigated. We implemented a Structural Equation Modeling using the SCImago Institutional Ranking (SIR) as a global baseline sample and assessment of organizational research and innovation (RandI), an automated MS content analysis, and the Economic Complexity Index (ECI) as a comprehensive macroeconomic environment measure. We found that the median performance of organizations that do not report an MS is significantly higher than that of reporting organizations, and that a path-dependence driven by the States long-term view and investment is a better explanatory variable for organizational RandI performance than the MS construct or the intermediate-term macroeconomic environment.
There is an established research agenda on dissecting an articles components, title and abstract readability and diversity, keywords, number references, and determining their association with bibliometrics performance. Yet, journals titles and their overview, aim and scope (i.e., journals mission statement, JMS(s) have not been investigated with the same diligence. This study aims to conduct a comprehensive outlook of titles and JMSs lexical structure and identify significant differences between journals prestige and type of access groups and their JMS content in the field of business, management and accounting (BMA). Lexical network analysis was used to explore journals title structure. JMS were examined through the Flesch-Kincaid grade level for readability and the Yules K for lexical diversity. Titles and JMS structural analysis reflected current and critical discussion in BMA: an obsession for counterintuitive findings and ICT tools. JMS expressed mostly target customers and markets. JMS from reputable journals showed a higher betweenness for key terms related to rigorous features, while JMS of lower reputable journals highlighted indexing attributes (i.e., Scopus). Wilcoxon rank sum and Kruskal Wallis tests showed significant differences in the JMS median diversity regarding the journals type of access and best quartiles.
This paper studies the extent to which social capital drives performance in the Chinese venture capital market and explores the trend toward VC syndication in China. First, we propose a hybrid model based on syndicated social networks and the latent-variable model, which describes the social capital at venture capital firms and builds relationships between social capital and performance at VC firms. Then, we build three hypotheses about the relationships and test the hypotheses using our proposed model. Some numerical simulations are given to support the test results. Finally, we show that the correlations between social capital and financial performance at venture capital firms are weak in China and find that Chinas venture capital firms lack mature social capital links.
This study reports on the current state-of-affairs in the funding of entrepreneurship and innovations in China and provides a broad survey of academic findings on the subject. We also discuss the implications of these findings for public policies governing the Chinese financial system, particularly regulations governing the initial public offering (IPO) process. We also identify and discuss promising areas for future research.
Economic shocks due to Covid-19 were exceptional in their severity, suddenness and heterogeneity across industries. To study the upstream and downstream propagation of these industry-specific demand and supply shocks, we build a dynamic input-output model inspired by previous work on the economic response to natural disasters. We argue that standard production functions, at least in their most parsimonious parametrizations, are not adequate to model input substitutability in the context of Covid-19 shocks. We use a survey of industry analysts to evaluate, for each industry, which inputs were absolutely necessary for production over a short time period. We calibrate our model on the UK economy and study the economic effects of the lockdown that was imposed at the end of March and gradually released in May. Looking back at predictions that we released in May, we show that the model predicted aggregate dynamics very well, and sectoral dynamics to a large extent. We discuss the relative extent to which the models dynamics and performance was due to the choice of the production function or the choice of an exogenous shock scenario. To further explore the behavior of the model, we use simpler scenarios with only demand or supply shocks, and find that popular metrics used to predict a priori the impact of shocks, such as output multipliers, are only mildly useful.
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