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 study investigates the impact of fiscal incentives on the tax compliance behaviour of firms in industrial clusters in Nigeria. Data from 800 firms drawn from three industrial clusters in SouthEast Nigeria were collected using a structured questionnaire through a multi-stage sampling...

In this study, an investigation is conducted into the phenomenon of price clustering in Bitcoin (BTC) denominated in the Japanese yen (JPY). It answers two questions using tick-by-tick data. The first is whether price clustering exists in BTC/JPY transactions, and the other is how the scale of...

Since the emergence of Bitcoin, cryptocurrencies have grown significantly, not only in terms of capitalization but also in number. Consequently, the cryptocurrency market can be a conducive arena for investors, as it offers many opportunities. However, it is difficult to understand. This study...

We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe, considering patterns of specialization among innovation types. We combine patent registration data and other innovation and economic data...

The conventional wisdom has maintained that being in proximity to entrepreneurial ecosystems helps startups to raise financing, develop and grow. In this paper, we examine the effect of a major component of an entrepreneurial ecosystem-financial or venture capital clusters on the exit of a...

In linear regression analysis, the estimator of the variance of the estimator of the regression coefficients should take into account the clustered nature of the data, if present, since using the standard textbook formula will in that case lead to a severe downward bias in the standard errors....

Purpose - This paper aims to address research gaps with regard to the relationship between market orientation and marketing performance when small- and medium-sized enterprises (SMEs) are located within a service cluster. The three main objectives of this research are to determine the effect...

The effectiveness of the unification of enterprises in the cluster is also associated with high uncertainty and risks. Thus, the development of theoretical approaches and methodological instruments for efficient risk management of enterprises under the conditions of cluster association is an...

We defined the concept of a common-knowledge network of authors in a research institution and used it to identify communities of authors using a new heuristic algorithm for clustering editing problem on weighted similarity measure networks. We analyzed dominant research topics based on most...

This study answers the question on whether areas of agglomeration or high industry specialization constitute supportive prone-to-innovation environments for the generation of radical innovation. By drawing on the CIS distinction between incremental vs radical innovation, we disentangle the...

This paper exploits time and geographic variation in the adoption of Special Economic Zones in India to assess the direct and spillover effects of the program. We combine geocoded firm-level data and geocoded SEZs using a concentric ring approach, thus creating a novel dataset of firms with...

Cluster-robust inference is widely used in modern empirical work in economics and many other disciplines. The key unit of observation is the cluster. We propose measures of "high-leverage" clusters and "influential" clusters for linear regression models. The measures of leverage and partial...

Multiple unordered treatments with a binary instrument for each treatment are common in policy evaluation. This multiple treatment setting allows for different types of changes in treatment status that are non-compliant with the activated instrument. Therefore, instrumental variable (IV) methods...

We provide new and computationally attractive methods, based on jackknifing by cluster, to obtain cluster-robust variance matrix estimators (CRVEs) for linear regres- sion models estimated by least squares. These estimators have previously been com- putationally infeasible except for small...

This paper follows an algorithm that considers different dimensions of linkages across service and manufacturing industries to identify a cluster configuration of the Mexican economy and analyze their role in the economic performance of regions. It identifies 24 clusters and analyzes their...

This paper discusses the issues of industrial cluster analysis. Initially, the authors explore theoretical approaches to understanding the clusters phenomenon and their identification and analysis. Looking at industrial clusters as network structures connected by various forms of interaction...

The problem of staffing the gas and petrochemical cluster is acutely raised in all oil-producing states. This article's purpose is to study program-targeted and problem-oriented approaches to forming infrastructure provision for personnel needs in Iran's gas and petrochemical cluster. Their...

Coworking and its merits and benefits have been under heavy scholarly investigation. Also in practice, the phenomenon with its characteristics and manifestations becomes increasingly relevant on many levels and for many different types of people and organizations. But why is that so, and how are...

We propose a new, computationally-efficient way to approximate the "grouped fixed-effects" (GFE) estimator of Bonhomme and Manresa (2015), which estimates grouped patterns of unobserved heterogeneity. To do so, we generalize the fuzzy C-means objective to regression settings. As the...