Fuzzy multi criteria decision making approach to innovative strategies based on Miles and Snow typology

Akman, Gülşen; Özcan, Burcu; Hatipoğlu, Tuğçen

doi:10.1007/s10845-013-0820-4

Cited by 13 publications

(10 citation statements)

References 66 publications

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“…• The previous studies highlight the equal importance of factors of online shopping behavior when implementing successful e-commerce strategy (Akman et al 2015;Ke et al 2017;Prashant 2009;Kim et al 2018Kim et al , 2009Richard et al 2010;Wang et al 2010;Yanes-Estévez et al 2018). This hypothesis verification aims to support the findings of previous studies.…”

Section: Hypothesis 2 (H2mentioning

confidence: 55%

“…Businesses in e-commerce that want to be successful in the long run must adapt their e-commerce strategy to the online shopping habits of their customers (Kim et al 2009;Martín and Camarero 2009;Roca et al 2009;Pereira et al 2016;Svatošová 2018Svatošová , 2019aWang et al 2010). The basis for successful e-commerce strategy creation and implementation is the consideration of current factors of online shopping behavior identified by previous studies (Akman et al 2015;Kim et al 2018;Ke et al 2017;Yanes-Estévez et al 2018). One of the key elements of a successful e-commerce strategy is the implementation of the needs and current online habits of potential and existing customers.…”

Section: Introductionmentioning

confidence: 99%

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Strategic Behavior of E-Commerce Businesses in Online Industry of Electronics from a Customer Perspective

Svobodová¹,

Rajchlová²

2020

Administrative Sciences

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The issue of online shopping behavior is gaining importance with the continued development of e-commerce. E-commerce businesses that aim to be successful in the online market in the long run must consider the factors of online shopping behavior when creating and implementing their e-commerce strategy. This paper is focused on the strategic behavior of e-commerce from a perspective of the online customer. The aim of the paper is to evaluate the strategic position of e-commerce businesses that focus on online sales of electronics, based on their strategic behavior from the customer’s perspective. The first objective is to identify the current factors of online shopping behavior in the industry of online electronics. The second obejctive is to identify the current economic performance and financial strategy of e-commerce businesses and their relevance to strategic behavior in e-commerce. The third objective is to identify the possible differences in strategic behavior of e-commerce SMEs and e-commerce large businesses. The research methods employed were: situation analysis, benchmarking, quantitative research, selected methods of financial analysis. The selected methods of statistical induction were chosen to verify the research hypotheses. A research sample of 89 e-commerce businesses selling online electronics was selected for this research. It was found that most e-commerce businesses apply a balanced e-strategy based on the assessed factors of online shopping behavior that does not correspond to the progressive growth of e-commerce. Fifteen factors were identified that influence customers when choosing and buying electronics online. It was also found that the strategic behavior of e-commerce businesses is influenced by factors of online shopping behavior. Finally, it was found that the current balanced e-strategy of e-commerce businesses does not correspond with conservative financial strategy.

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Section: Hypothesis 2 (H2mentioning

confidence: 55%

Section: Introductionmentioning

confidence: 99%

Strategic Behavior of E-Commerce Businesses in Online Industry of Electronics from a Customer Perspective

Svobodová¹,

Rajchlová²

2020

Administrative Sciences

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“…AHP has been applied in solving numerous problems, for example, Akman et al (2013) applied AHP within the fuzzy environment in the evaluation of innovative management strategies in different leading companies in Turkey. AHP has been chosen mainly because it provides a framework to manage conflicting multicriteria problems involving both qualitative and quantitative facets.…”

Section: Analytical Hierarchy Process (Ahp)mentioning

confidence: 99%

Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems

2015

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The key to achieving optimum ship system reliability and safety is to have a sound maintenance management system in place for mitigating or eliminating equipment/component failures. Maintenance has three key elements; risk assessment, maintenance strategy selection and the process of determining the optimal interval for the maintenance task. The optimisation of these three main elements of maintenance is what constitute a sound maintenance management system. One of the challenges that marine maintenance practitioners are faced with is the problem of maintenance selection for each equipment item of the ship machinery system. The decision making process involves utilising different conflicting decision criteria in selecting the optimum maintenance strategy from among multiple maintenance alternatives. In tackling such decision making problems the application of a multi-criteria decision making (MCDM) method is appropriate. Hence in this paper two hybrid MCDM methods; Delphi-AHP and Delphi-AHP-PROMETHEE, are presented for the selection of appropriate maintenance strategies for ship machinery systems and other related ship systems. A case study of a ship machinery system maintenance strategy selection problem is used to demonstrate the suitability of the proposed methods.

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“…The typology of Miles and Snow (1978) is one of the most used approaches for the study of the strategic behaviour of organizations (e.g., Anwar and Hasnu 2016;Bouhelal and Mohamm 2016;Frambach et al 2016;Lin et al 2014) and one of the most validated typologies (Fiss 2011;Parnell et al 2015). This typology has been widely applied to large enterprises, and different results could be obtained for small and medium-sized enterprises (SMEs) due to their own characteristics (Akman et al 2015). Miles and Snow (1978) established four types of strategic behaviours (prospector, defender, analyser, and reactor) based on three different problems faced by organizations: the entrepreneurial, the technological, and the administrative.…”

Section: Introductionmentioning

confidence: 99%

The Strategic Behaviour of SMEs

Yanes-Estévez

García‐Pérez

Oreja-Rodríguez

2018

Administrative Sciences

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This paper analyses the strategic behaviour of small and medium-sized enterprises (SMEs) and identifies the entrepreneurial, technological, and administrative problems of the Miles and Snow typology (1978). This typology is applied to a sample of SMEs in the Canary Islands (Spain) by using a multi-item questionnaire. Then, the Rasch Measurement Theory is applied to obtain the results, with the linear continuum as a key tool. By applying the Rasch Measurement, there is a coherency between the data treatment and the new interpretation of the Miles and Snow typology (1978), which lists 4 types that are close to trends than to pure types (for example, Sollosy 2013). There are differences between the administrative and the technological problems, with their technological approach being more prospector and their administrative one, which is more defender. This shows an almost absence of enterprises with purely defender or prospector behaviours. These results show that SMEs do not follow any comprehensive framework in order to develop their strategies. Managers should analyse their strategic situation and consider the alignment of the three problems.

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Fuzzy multi criteria decision making approach to innovative strategies based on Miles and Snow typology

Cited by 13 publications

References 66 publications

Strategic Behavior of E-Commerce Businesses in Online Industry of Electronics from a Customer Perspective

Strategic Behavior of E-Commerce Businesses in Online Industry of Electronics from a Customer Perspective

Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems

The Strategic Behaviour of SMEs

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