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...

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...

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...

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...

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....

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...

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...

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 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...

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 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...

The intensification of innovation processes in Russia is a challenging task that requires a continuous search for solutions to make possible the many required changes in economics. We consider the major factors needed to advance an innovative activity at all levels in the national economy to...

There are several enablers to the innovation capability in the exisiting literature, but they all are considered with equal importance. Researchers believe ranking will advance the understanding of academicians and practitioners further. Hence, we started by recognizing the enablers from the...

Labour market areas (LMAs) are a type of functional areas that provides the appropriate framework for spatially-explicit analyses of the labour market to guide policymaking in this field. This resource presents a data base with the most recent definition of LMAs for Spain using a...

This is an analytical, descriptive, and cross-sectional case study to identify a pharmaceutical company's organizational life cycle (OLC) situation using clustering methods. Data came from Iran's pharmaceutical firms in 2001-2018. We used sales growth, dividend per ratio, and performance...