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Adapt or perish! : a systematic review of the literature on strategic renewal and the family firm

Hernández-Linares, Remedios; Arias Abelaira, Triana - In: European journal of family business 12 (2022) 2, pp. 137-155

The objective of this paper is to examine the current state of strategic renewal research in family businesses, identifying the main research gaps and providing a path for future research to the academics. To do so, we have performed a systematic and comprehensive review of 21 studies (20...

Persistent link: https://www.econbiz.de/10014506570

A Clustering Method for Analysis of Data Subject to Pre-Defined Classifications

Liu, Yang - 2019

In this paper, we present a methodology to perform clustering and grouping analysis for dataset with classification …

Persistent link: https://www.econbiz.de/10014105767

Clustered and distinct : a taxonomy of local multihospital systems

Shay, Patrick D.; Mick, Stephen S. - In: Health care management science 20 (2017) 3, pp. 303-315

Persistent link: https://www.econbiz.de/10011741255

Clustering categories in support vector machines

Carrizosa, Emilio; Nogales-Gómez, Amaya; Romero … - In: Omega : the international journal of management science 66 (2017), pp. 28-37

Persistent link: https://www.econbiz.de/10011598956

Classification and clustering in biomedical signal processing

Dey, Nilanjan (ed.); Ashour, Amira (ed.) - 2016

signal processing for biomedical applications with an emphasis on classification and clustering techniques"--Provided by …

Persistent link: https://www.econbiz.de/10011728492

An investigation of the imputation techniques for missing values in ordinal data enhancing clustering and classification analysis validity

Alam, Shafiq; Ayub, Muhammad Sohaib; Arora, Sakshi; … - In: Decision analytics journal 9 (2023), pp. 1-14

, distortions, and poor decisions. The presence of missing values in data introduces inaccuracies in clustering and classification …. Furthermore, the study examines the impact of imputed values on classification algorithms, including k-Nearest Neighbors (kNN …

Persistent link: https://www.econbiz.de/10014532502

A practical approach to determining critical macroeconomic factors in air-traffic volume based on k-means clustering and decision-tree classification

Chen, Jieh-Haur; Wei, Hsi-Hsien; Chen, Chih-Lin; Wei, … - In: Journal of air transport management 82 (2020), pp. 1-11

Persistent link: https://www.econbiz.de/10012253058

A new dynamic classification of enterprises for implementing precise industrial policies

Xu, Bing; Chen, Xiaohui; Wang, Yanyan - In: Journal of business research : JBR 118 (2020), pp. 463-473

Persistent link: https://www.econbiz.de/10012288631

Statistical industry classification

Kakushadze, Zura; Yu, Willie - In: Journal of risk & control 3 (2016) 1, pp. 17-65

Persistent link: https://www.econbiz.de/10012229122

Multicriteria and Clustering : Classification Techniques in Agrifood and Environment

Andreopoulou, Zacharoula - 2017

multicriteria and clustering classification techniques in practice. Further, it presents some of the most common methodologies for …

Persistent link: https://www.econbiz.de/10012397973