The Application of Cluster Analysis in Strategic Management Research: An Analysis and Critique

Ketchen, David J.; Shook, Christopher L.

doi:10.1002/(sici)1097-0266(199606)17:6<441::aid-smj819>3.0.co;2-g

Cited by 1,844 publications

(1,440 citation statements)

References 93 publications

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“…We divided the sample randomly into approximate halves by a computer. We obtained a similar pattern of cluster centroids of the subsamples to the original solution, providing evidence of internal consistency of the cluster solution (Ketchen & Shook 1996). 23 Although the Scheffe test is a very conservative procedure in terms of protesting against type I error (Stevens, 2009), all the 39 possible combinations in the 13 constructs are highly significant (p < 0.01).…”

Section: Validation Of Clustersmentioning

confidence: 61%

Configuring quality management and marketing implementation and the performance implications for industrial marketers

Lai

Yeung

Cheng

2012

Industrial Marketing Management

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Section: Validation Of Clustersmentioning

confidence: 61%

Configuring quality management and marketing implementation and the performance implications for industrial marketers

Lai

Yeung

Cheng

2012

Industrial Marketing Management

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“…As shown in Fig. 3, for most PSFs series, the explained variances increase with k more rapidly for k < 3 than k > 3, which suggests that k = 3 is a good choice according to the elbow method (Ketchen and Shook 1996). Therefore, the number of clusters was assigned 3 for simplifying the technical explanation of the results, and a popular K-means algorithm (Hartigan and Wong 1979) was then used to perform an "ensemble" cluster analysis in order to obtain a reasonable classification.…”

Section: Cluster Analysismentioning

confidence: 86%

Comparison of Three Western North Pacific Tropical Cyclone Best Track Datasets in a Seasonal Context

Ying

Cha

Kwon

2011

Journal of the Meteorological Society of Japan

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The quality of tropical cyclone (TC) best track data has increasingly received more attention in climate research in recent years because of the rising interest in the possible effects of global warming on TC activity. In this paper, three best track datasets for the western North Pacific TCs were compared in a seasonal context. Firstly, the statistical characteristics were examined based on their distributions. Then, the potential impact of particular features within the datasets was evaluated by using contrastive cluster analyses.The mean amplitude of the annual cycle in the Japan Meteorological Agency (JMA) data is largest among the three datasets. The smallest interannual variability helped the Shanghai Typhoon Institute of China Meteorological Administration (CMA-STI) dataset to resist the negative effect of outliers. An inhomogeneity around 2003-2004 was identified in the Joint Typhoon Warning Center (JTWC) data by the outliers and was compared with the JMA and CMA-STI data.By using contrastive cluster analyses, the differences among the datasets and some effects related to particular issues, including the representation of the annual cycle, the outliers, and wind conversion were evaluated. The JTWC dataset is affected by outliers and wind conversion among the different average times, whereas the representation of the annual cycle was important for the CMA-STI data. After excluding all the outliers, the results indicated more consistent classifications of the TC annual cycle between the JMA and JTWC data.

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“…Within the field of segmentation research three main themes can broadly be identified: (1) research aiming at improving segmentation methodology (Aldenderfer & Blashfield, 1984;Bailey, 1994;Dolnicar & Leisch, 2000;Dolnicar & Leisch, 2004;Ketchen & Shook, 1996; To Segment or Not to Segment? An Investigation of Segmentation Strategy Success Under Varying Market Conditions Krieger & Green, 1996;Lilien & Rangaswamy, 2000;Mazanec & Strasser, 2000;Milligan & Cooper, 1985;Milligan, 1981;Myers & Tauber, 1977;Punj & Stewart, 1983;Thorndike, 1953;(2) research comparatively evaluating the usefulness of different kinds of segmentation bases (Abbey, 1979;Frank, Massy & Wind, 1972;Haley, 1968;Wedel & Kamakura, 1998;Wind, 1978), and (3) empirically based reports on applied segmentation studies (these segmentation applications dominate in terms of quantity, a summarising report including 243 studies of this kind published in academic journals is provided by Baumann, (2000) and Dolnicar, (2003).…”

Section: Literature Reviewmentioning

confidence: 99%

To Segment or not to Segment? An Investigation of Segmentation Strategy Success under Varying Market Conditions

Dolničar¹,

Freitag²,

Randle³

2005

Australasian Marketing Journal

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A computer simulation study is conducted to explore the interaction of alternative segmentation strategies and the competitiveness of the market environment, a goal that can neither be tackled by purely analytic approaches as there is neither sufficient and undistorted real market data available to deduct findings in an empirical manner. The fundamental idea of the simulation is to increase competition in the artificial marketplace and to study the influence of segmentation strategy and varying market conditions on organisational success. Success/failure is measured using two performance criteria: number of units sold and survival of organisations over 36 periods of time. Three central findings emerge: (1) the more competitive a market environment, the more successful the concentrated market segmentation strategy; (2) increased levels of marketing budgets do not favour organisations following a concentrated segmentation strategy; and (3) frequent rethinking and strategy modification impairs organisations that concentrate on target segments.

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The Application of Cluster Analysis in Strategic Management Research: An Analysis and Critique

Cited by 1,844 publications

References 93 publications

Configuring quality management and marketing implementation and the performance implications for industrial marketers

Configuring quality management and marketing implementation and the performance implications for industrial marketers

Comparison of Three Western North Pacific Tropical Cyclone Best Track Datasets in a Seasonal Context

To Segment or not to Segment? An Investigation of Segmentation Strategy Success under Varying Market Conditions

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