Productive performance, technology heterogeneity and hierarchies: Who to compare with whom

Tsekouras, Kostas; Chatzistamoulou, Nikos; Κουνετάς, Κωνσταντίνος

doi:10.1016/j.ijpe.2017.08.010

Cited by 37 publications

(22 citation statements)

References 59 publications

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“…The simulation studies showed that the sizes of the two test statistics are quite close to the nominal level, and that the powers are also satisfactory-even when the sample size is relatively small (n = 50). The theory developed in this paper is useful for production managers (see details in [25][26][27]) in their decisions on production [19] and for investors [28] in their decision making in their investment.…”

Section: Discussionmentioning

confidence: 99%

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Specification Testing of Production in a Stochastic Frontier Model

Guo

McAleer

et al. 2018

Sustainability

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Parametric production frontier functions are frequently used in stochastic frontier models, but there do not seem to be any empirical test statistics for the plausibility of this application. In this paper, we develop procedures to test whether or not the parametric production frontier functions are suitable. Toward this aim, we developed two test statistics based on local smoothing and an empirical process, respectively. Residual-based wild bootstrap versions of these two test statistics are also suggested. The distributions of technical inefficiency and the noise term are not specified, which allows specification testing of the production frontier function even under heteroscedasticity. Simulation studies and a real data example are presented to examine the finite sample sizes and powers of the test statistics. The theory developed in this paper is useful for production managers in their decisions on production.

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Section: Discussionmentioning

confidence: 99%

“…To the best of our knowledge, this is a novel contribution to the literature. The theory developed in this paper is useful for production managers in their decisions on production [19].…”

Section: Introductionmentioning

confidence: 99%

Specification Testing of Production in a Stochastic Frontier Model

Guo

McAleer

et al. 2018

Sustainability

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“…Furthermore, the relatively high value of the correlation among the three key inputs of our analysis may lead to multicollinearity problems that can severely affect the results of stochastic production frontiers (SPFs). Another reason is that SFA cannot successfully distinguish between technical improvements and efficiency improvements [57]; when using panel data, SPF estimators are often biased [58] and the independency of the inefficiency terms over the different time periods is difficult to hold [57]. Although DEA is not completely free of disadvantages, given the characteristics of the available data and the above reasons, this type of analysis was chosen in this particular study.…”

Section: Methodsmentioning

confidence: 99%

“…Consequently, for each observation, the peer group was composed of those firms operating in the same sector and same time period as that of the unit under analysis. While time-, country-and industry-specific frontiers have been used in some studies to take productivity differentials into account, how to account for a firm's specific heterogeneity remains unclear [58]. As DEA efficiency rates are relative to the observations in the peer group, the resulting efficiency scores represent how efficient a firm is relative to the other firms operating in the same sector and same time period, and hence the seasonal circumstances under which it operates does not affect the efficiency score.…”

Section: Methodsmentioning

confidence: 99%

“…Secondly, another step is needed to explain the firm's heterogeneity [58]. Heterogeneity has been studied in this work by considering that capabilities are latent aspects of the company that cannot be directly observed and, consequently, an a priori segmentation that supposes that resources and strategies from firms with similar characteristics will show a similar impact on efficiency would introduce some bias into the analysis.…”

Section: Methodsmentioning

confidence: 99%

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Capturing Firms’ Heterogeneity through Marketing and IT Capabilities in SMEs

Ramón-Jerónimo

Herrero

2017

Sustainability

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To achieve sustainability, firms capable of surviving economic recessions is of key relevance; the capabilities that firms need to face dynamic environments remain an open question. In this work, a new procedure is proposed to capture firms' heterogeneity with regard to the capabilities they possess in operating efficiently in dynamic environments. This approach enables the identification of the classes of firms that develop efficiency with a specific integration of resources. While the literature has most often measured firm capabilities using subjective measures, this study suggests the use of Data Envelopment Analysis to capture the ability to transform resources into outcomes and of Latent Class Regression to capture differences across firms that explain firms' heterogeneity in the way they perform. By combining these two techniques, this work presents a way to identify those firms that need to invest in and develop certain capabilities. This work analyses a large dataset of manufacturing Small Medium Enterprises (SMEs) extracted from the Business and Strategy survey provided by Fundación de la Sociedad Estatal de Participaciones Industriales( SEPI) in Spain. The dataset used enfolds 10,960 observations from 2048 firms during the period 1994-2011. The complete dataset has been employed to calculate manufacturing firms' efficiency. In a second step, data were cleaned to eliminate outliers, and to identify SMEs and observations with records of IT capabilities. As a result, 329 manufacturing SMEs were analysed to capture their heterogeneity. The results contribute to the current literature by explaining how manufacturing SMEs show a different need in their development of capabilities to be efficient and adapt to environmental changes. While approximately 20% of firms analysed really take advantage of recessions through their investment in R&D, the remaining 80% need to adjust their size or invest in IT capabilities to become competitive. The assumption shown in previous studies regarding the performance of SMEs to better confront recessions is discussed in this paper.

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Efficiency of football teams from an organisation management perspective

Escuer

Cebrián

2020

Manage Decis Econ

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The aim of this paper is to assess the efficiency of football. Our contributions to the literature are the use of the resource‐based theory and the strategy‐structure‐performance perspective as the study's framework, efficiency has been considered as the result of the qualities of the productive resources in football teams and efficiency is calculated in every area in the field of play. The results show that the entire team's efficiency is positively related to sporting success and the efficiency of attacking and ball recovery areas is directly related to the sport result and the efficiency of the team as a whole.

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Productive performance, technology heterogeneity and hierarchies: Who to compare with whom

Cited by 37 publications

References 59 publications

Specification Testing of Production in a Stochastic Frontier Model

Specification Testing of Production in a Stochastic Frontier Model

Capturing Firms’ Heterogeneity through Marketing and IT Capabilities in SMEs

Efficiency of football teams from an organisation management perspective

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