Studies on open innovation (OI) have highlighted the importance of inter-organizational knowledge networks. However, little is known about OI networks established by family firms, and their roles in such knowledge networks. By focusing on one of the most important Italian footwear clusters, this...

The purpose of the research is to extract an empirical typology presenting the diverse types of PMSs. For creating empirical typology, a Two-Step cluster analysis was applied. The types of PMSs are characterized by the variables extracted from the chain model found in the literature. We...

We introduce a new dynamic clustering method for multivariate panel data char- acterized by time-variation in cluster locations and shapes, cluster compositions, and, possibly, the number of clusters. To avoid overly frequent cluster switching (flickering), we extend standard cross-sectional...

Industry classification groups firms into finer partitions to help investments and empirical analysis. To overcome the well-documented limitations of existing industry definitions, like their stale nature and coarse categories for firms with multiple operations, we employ a clustering approach...

Mean-variance portfolio optimization models are sensitive to uncertainty in risk-return estimates, which may result in poor out-of-sample performance. In particular, the estimates may suffer when the number of assets considered is high and the length of the return time series is not sufficiently...

Based on the input-output table and the supplier-customer data disclosed by the listed companies in China, this paper builds China's production network on both industry level and firm level. We describe the characteristics of such network using various network indexes and obtain the following...

This paper employs k-means clustering, a multidimensional pattern recognition method, to categorize countries using information from five Varieties of Democracy indices. K-means country clusters are similar but not entirely identical to both k-medians clusters and arbitrary groups formed using...

This study explains the factors that enhance the innovation performance of a cluster by focusing on its knowledge spillovers. Based on the literature on industry clusters, organizational diversity, and innovation, we suggest testable propositions. Specifically, this study suggests that two types...

Concerns are mounting over the potential for weak future growth as the Korean economy faces a wide range of structural issues including an aging society, a crisis in key regional industries, and the COVID-19 pandemic. Due to these concerns, the Korean government has established innovation growth...

Based on panel data from 41 cities in China's Yangtze River Delta region from 2003 to 2019, this article empirically has conducted an in-depth study of the impact of financial agglomeration on the level of urban economic green coordinated development and the intermediary role of innovation. The...

The subject of this study is the strategy of the innovative-industrial cluster. The purpose of this work is to form a cluster strategy using parallel and sequential real options. The method proposed for this involves applying a parallel real option when justifying the prospect of acquisition,...

We develop a unified stochastic frontier model which controls for the local spatial correlation and the global factor dependence as well as parameter heterogeneity, simultaneously. We then propose the regional productivity network analysis to examine the diffusion impacts of the capital...

In today's fast-paced business environment, leaders who fail to recognize and respond to the emotions of their employees can result in stagnation or a lack of growth in their organization. In light of this, the current study presents a method for identifying leadership styles based on the...