Identifying industry clusters: a critical analysis of the most commonly used methods

Komorowski, Marlen

doi:10.1080/21681376.2020.1733436

Cited by 16 publications

(8 citation statements)

References 10 publications

(14 reference statements)

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“…First, from a methodological point of view, the proposed use of the CPs mining method can help alleviate the problems of traditional methods for identifying industrial clusters. According to a critical analysis by Komorowski (2020), the major limitations of the most commonly used methods (e.g. LQ) include inadequate ability to reflect the exact extent and location of industrial clusters, and the issues of data harmonization if additional data are required for analysis.…”

Section: Discussionmentioning

confidence: 99%

Detecting industry clusters from the bottom up based on co-location patterns mining: A case study in Dongguan, China

Liu

Chen

et al. 2021

Environment and Planning B: Urban Analytics and City Science

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Industry cluster development is important to stimulate regional economy. Conventional spatial methods for detecting industry clusters use a pairwise manner to infer the co-location relationships of multiple industrial types or instances, which increases the difficulty of interpreting the results. This study proposes to use co-location patterns (CPs) mining method to directly capture the co-location of multiple industrial types from the bottom up without any conditions of data relations defined a priori. The method is applied in Dongguan, China, to investigate the industry cluster patterns at an intra-urban scale. At the city level, the results show prevalent CPs of information communication and technology industry and other associated sectors. At the sub-regional level, however, approximately 41% of the industrial CPs are different from those obtained at the city level. The local features of sub-regional industry clusters are associated with productions of, for instance, sporting goods and toys, digital instrument and office equipment, machine parts and woodware, and textile-related products.

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Section: Discussionmentioning

confidence: 99%

Detecting industry clusters from the bottom up based on co-location patterns mining: A case study in Dongguan, China

Liu

Chen

et al. 2021

Environment and Planning B: Urban Analytics and City Science

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“…Their dynamic relations contribute to the increased individual and collective competitiveness of the participating actors. Thus, industrial clusters evolved into an important policy tool for economic development [65]. The general context of this study is still characterized by limited generalized trust, a legacy of hierarchical management structures, insufficient traditions of industrial cooperation and self-organization [66].…”

Section: Methodsmentioning

confidence: 99%

Managing Strategic Tensions in the Development of Organizational Ecosystems

Jucevičius,

Grumadaitė

2024

Sustainability

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The paper explores the key strategic tensions in the development of organizational ecosystems as well as the applied responses. It presents a conceptual overview of the key tension areas faced by the coordinators of complex inter-organizational systems and the results of empirical case studies conducted in knowledge-intensive industrial clusters in Lithuania (in the fields of high-technologies, information and communications technology, medical innovations and wellness products, cinema and game industries, machinery production and tourism). The research presented in the paper identifies eight strategic tensions faced by the leaders responsible for the development of organizational ecosystems: (1) focused interventionism vs. self-organization; (2) hierarchy-based structures vs. network-based (eco)systems; (3) under-connectedness vs. over-connectedness; (4) central rules vs. emerging metanorms; (5) short-term vs. long-term orientation; (6) focus on elements vs. relationships in the system; (7) big wins vs. small wins; and (8) exploitation vs. exploration. Case studies and expert interviews with the coordinators of different industrial clusters revealed the diversity of adopted approaches. The more mature the social and industrial context of the industrial cluster is, the less pronounced are the strategic tensions, and there is less need for focused interventions. In cases where such interventions are needed, the leaders of ecosystems adopt one of the following approaches: (1) take a position on one of the extremes by seeking to leverage the situation; (2) adopt a trade-off approach by seeking a point of balance; (3) capitalize on both extremes at the same time. The adopted approach may vary from one strategic tension to another within the same organizational ecosystem.

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“…All methods portrayed in this chapter have characteristic strengths and weaknesses, which is why a mix of complementary methods (see Terfrüchte/Frank in this volume)such as top-down and bottom-up approaches -is generally recommended (Komorowski 2020). Industry agglomerations identified through top-down approaches can lead to the formulation of assumptions about potential clusters, thus serving as a starting point for the targeted use of bottom-up approaches.…”

Section: Comparative Assessment and Conclusionmentioning

confidence: 99%

Metropolitan Research. Methods and Approaches

Kunzmann¹

2022

disP - The Planning Review

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He is co-founder and speaker of the Competence Field Metropolitan Research (KoMet) in the University Alliance Ruhr. His research areas include literary urban studies, theories and methods of urban and metropolitan research, model theory, literature and climate change as well as British literature of the 17th to the 21st centuries and contemporary US fiction. Rolf Parr (Prof. Dr.), born in 1956, is a professor of German Literature and Media Studies at Universität Duisburg-Essen. He is a member of the extended coordination circle of the Competence Field Metropolitan Research in the University Alliance Ruhr (KoMet). His research areas include literature, media and cultural theory/history of the 18th to 21st centuries, discourse theory and research on normalism, collective symbols, literature/media relations, television, medial representations of work, urban and metropolitan research. Dennis Hardt (Dipl.-Geogr.), born in 1984, is an urban geographer and regional planner in the Department of Regional Development at Regionalverband Ruhr. Before, he was coordinator of the Competence Field Metropolitan Research in the University Alliance Ruhr (KoMet) and researcher in the Department of Spatial Planning and Planning Theory at Technische Universität Dortmund. His research 1 For detailed discussions of the rewards, challenges and pitfalls of interdisciplinary collaboration, see the collections by Frickel/Albert/Prainsack 2017; Frodeman 2017; Menken/Keestra 2016; for a brief discussion of conceptual as well as practical challenges, cf. Gurr/Kluwick 2021.

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Identifying industry clusters: a critical analysis of the most commonly used methods

Cited by 16 publications

References 10 publications

Detecting industry clusters from the bottom up based on co-location patterns mining: A case study in Dongguan, China

Detecting industry clusters from the bottom up based on co-location patterns mining: A case study in Dongguan, China

Managing Strategic Tensions in the Development of Organizational Ecosystems

Metropolitan Research. Methods and Approaches

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