Ownership structure, organisational flexibility and store performance in retail chains

Volberda, Henk; Verwaal, Ernst; Weerdt, Niels van der

doi:10.1504/ijbe.2006.010924

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Input flexibility, b. process flexibility and c. outcome flexibility. Organizations do not need to risk much because operational flexibility increases a firm's ability to steer itself in the face of environmental changes (Volberda et al, 2006). According to Mcfadden et al (2006), management should have enough types of equipment which can be used in case of emergency.…”

Section: Literature Reviewmentioning

confidence: 99%

Proposed Mathematical Model to Study and Analyze the Relationship Between Operational Flexibility Dimensions and Hospital Performance

Alolayyan

Ibrahem

2021

Glob J Flex Syst Manag

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The objective of this work is to create an active interaction between real and theoretical results. Study design was a cross-sectional study, and the opinion of 100 leaders against the hospital operation was used. The data sources were primary data collected from the leaders in King Abdullah University Hospital (KAUH)-Jordan. The findings show the system represents the input variable (input flexibility, process flexibility and outcomes flexibility) as well as hospital performance as production. Depending on the actual results, design identification system assessed the effects of input flexibility, process flexibility and outcomes flexibility against hospital performance to be 68.9%, 68.9% and 77%, respectively. In conclusions, a computational mathematical model that was derived based on factual data has a high accuracy to optimize the active input parameters of input flexibility, process flexibility and outcomes flexibility to be equal 84.3%, 85.6% and 95.5%, respectively, to produce optimum outcomes 93%. However, more studies are needed to confirm the outcomes of this survey using this active technique.

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Section: Literature Reviewmentioning

confidence: 99%

Proposed Mathematical Model to Study and Analyze the Relationship Between Operational Flexibility Dimensions and Hospital Performance

Alolayyan

Ibrahem

2021

Glob J Flex Syst Manag

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“…Структуризацію гнучкості підприємств проведено у наукових працях багатьох вчених (Yang & Li, 2002;Volberda et al, 2006;Weerdt, 2009). Питання оцінювання рівня гнучкості суб'єктів бізнесу широко дослідили деякі зарубіжні науковці (Goldman et al, 1995;Dove, 1996;Vokurka & Fliedner, 1998;Sherehiy et al, 2007;Yauch, 2011). Кількісне оцінювання гнучкості господарюючих суб'єктів на базі положень теорії нечітких множин пропонують деякі науковці (Tsourveloudis & Valavanis, 2002;Yang & Li, 2002;Lin et al, 2006).…”

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The Level of Flexibility of Agricultural Enterprises in the Zhytomyr Region

Nykolyuk¹,

Pyvovar²,

Zherybor³

2019

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A high level of flexibility is an essential condition for the long and efficient functioning of agricultural enterprises in an uncertain environment. Flexibility is the ability of business entities to predict and timely and adequately respond to external challenges. The aim of the study is to assess and analyze the level of flexibility of agricultural enterprises in the Zhytomyr region, for which it is necessary to develop a methodology for quantifying the level of flexibility of agricultural enterprises, implement it on the example of manufacturers in the Zhytomyr region, assess the relationship between the level of flexibility and size of an agricultural enterprise, and group agricultural enterprises and regions in terms of their flexibility. The study proposed a methodological approach to assessing the level of flexibility of agricultural enterprises, providing for the assessment of operational, structural and strategic flexibility. The methodology is based on measuring the ability of manufacturers to quickly restructure their business activities during financial and economic crises. It is proved that a relatively high level of operational flexibility coefficient and insufficient levels of structural and strategic flexibility coefficients characterize the majority of enterprises in the Zhytomyr region. It was established that the levels of flexibility in agricultural enterprises of various sizes do not significantly differ from each other. A cluster analysis of the regions of the Zhytomyr region in terms of the flexibility of agricultural producers was carried out. It has been proven that more than 50 % of enterprises are characterized by low levels of all flexibility factors, and about 43 %by low structural and strategic flexibility coefficients and a high level of structural flexibility. In the following studies, attention should be focused on the search for mechanisms to strengthen the flexibility of agricultural enterprises based on statistical modeling methods.

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Operations flexibility and outsourcing benefits: an empirical study in service firms

Aranda

Bustinza

Barrales‐Molina

2011

The Service Industries Journal

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Ownership structure, organisational flexibility and store performance in retail chains

Cited by 3 publications

References 17 publications

Proposed Mathematical Model to Study and Analyze the Relationship Between Operational Flexibility Dimensions and Hospital Performance

Proposed Mathematical Model to Study and Analyze the Relationship Between Operational Flexibility Dimensions and Hospital Performance

The Level of Flexibility of Agricultural Enterprises in the Zhytomyr Region

Operations flexibility and outsourcing benefits: an empirical study in service firms

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