Search results

1 – 10 of 409
Article
Publication date: 6 July 2010

Wayne S. DeSarbo, Qiong Wang and Simon J. Blanchard

The paper aims to examine the nature of competition within an industry by proposing and examining three separate sources of competitive heterogeneity: the strategies that industry…

1089

Abstract

Purpose

The paper aims to examine the nature of competition within an industry by proposing and examining three separate sources of competitive heterogeneity: the strategies that industry members use, the performance that they obtain, and how effectively the strategies are utilized to obtain such performance results.

Design/methodology/approach

To do so, a restricted latent structure finite mixture model is devised that can quantify the contribution of these three potential sources of heterogeneity in the formulation of latent competitive groups within an industry. The paper illustrate this modeling framework with respect to COMPUSTAT strategy and performance data collected for public banks in the USA.

Findings

The paper shows how traditional conceptualizations via strategic or performance groups are inadequate to fully represent intra‐industry heterogeneity.

Originality/value

This research paper proposes a new class of restricted finite mixture‐based models, which fit a variety of alternative forms/models of heterogeneity. Information heuristics are developed to indicate “best model.”

Details

Journal of Modelling in Management, vol. 5 no. 2
Type: Research Article
ISSN: 1746-5664

Keywords

Content available
Book part
Publication date: 19 November 2016

Taranza T. Ganziro and Robert G. Vambery

Abstract

Details

The Exorbitant Burden
Type: Book
ISBN: 978-1-78560-641-0

Book part
Publication date: 6 January 2016

Laurent Callot and Johannes Tang Kristensen

This paper shows that the parsimoniously time-varying methodology of Callot and Kristensen (2015) can be applied to factor models. We apply this method to study macroeconomic…

Abstract

This paper shows that the parsimoniously time-varying methodology of Callot and Kristensen (2015) can be applied to factor models. We apply this method to study macroeconomic instability in the United States from 1959:1 to 2006:4 with a particular focus on the Great Moderation. Models with parsimoniously time-varying parameters are models with an unknown number of break points at unknown locations. The parameters are assumed to follow a random walk with a positive probability that an increment is exactly equal to zero so that the parameters do not vary at every point in time. The vector of increments, which is high dimensional by construction and sparse by assumption, is estimated using the Lasso. We apply this method to the estimation of static factor models and factor-augmented autoregressions using a set of 190 quarterly observations of 144 US macroeconomic series from Stock and Watson (2009). We find that the parameters of both models exhibit a higher degree of instability in the period from 1970:1 to 1984:4 relative to the following 15 years. In our setting the Great Moderation appears as the gradual ending of a period of high structural instability that took place in the 1970s and early 1980s.

Details

Dynamic Factor Models
Type: Book
ISBN: 978-1-78560-353-2

Keywords

Book part
Publication date: 1 August 2017

Abstract

Details

Qualitative Consumer Research
Type: Book
ISBN: 978-1-78714-491-0

Book part
Publication date: 3 July 2018

Abstract

Details

Innovation and Strategy
Type: Book
ISBN: 978-1-78754-828-2

Abstract

Details

Review of Marketing Research
Type: Book
ISBN: 978-0-85724-727-8

Book part
Publication date: 27 June 2016

Abstract

Details

Marketing in and for a Sustainable Society
Type: Book
ISBN: 978-1-78635-282-8

Book part
Publication date: 2 September 2014

Abstract

Details

Shopper Marketing and the Role of In-Store Marketing
Type: Book
ISBN: 978-1-78441-001-8

Book part
Publication date: 13 June 2013

Abstract

Details

Review of Marketing Research
Type: Book
ISBN: 978-1-78190-761-0

1 – 10 of 409