CSV Strategy and Clustering for Improvement of the Stone and Marble Sector’s Competitiveness: Empirical Evidence from Hebron

Ibrahim Awad and Neda A. Alnatsha ()
Additional contact information
Neda A. Alnatsha: Al-Quds University

Journal of the Knowledge Economy, 2024, vol. 15, issue 3, No 129, 13552-13573

Abstract: Abstract The purpose of this study is to devise a strategy for creating shared value in Hebron’s stone and marble sector through the use of a stone cluster. To achieve this goal, the study employed an experimental structural equation modeling (SEM) approach using the Analysis of Moment Structures (AMOS) software. A stratified random sample of 125 factories was selected, but only 102 factories were utilized in the study. The results of the empirical study suggest that creating shared value (CSV) through the cluster is more likely to enhance the competitiveness of the stone and marble sector than direct clustering alone. Business owners can promote this CSV strategy by activating the cluster through problem-solving, improving infrastructure, and teamwork. Therefore, the study suggests that improving Porter’s diamond factors for competitiveness through the creation of a shared value strategy within the cluster is crucial for the growth of this essential sector in the Palestinian economy.

Keywords: Clustering; Competitiveness; CSV; Palestine; Stone and marble cluster; SEM (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13132-023-01612-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jknowl:v:15:y:2024:i:3:d:10.1007_s13132-023-01612-2

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13132

DOI: 10.1007/s13132-023-01612-2

Access Statistics for this article

Journal of the Knowledge Economy is currently edited by Elias G. Carayannis

More articles in Journal of the Knowledge Economy from Springer, Portland International Center for Management of Engineering and Technology (PICMET)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().