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Digitalization and Competitiveness in the Logistics Service Industry

100%
Cichosz M.
e-mentor
|
2018
|
issue 5 (77)
73-82
EN
This study aims to present changes that are taking place in the market of logistics services as a result of the development of digital technologies and show their influence on the business models of logistics service providers. In her research, the author applied Porter’s 5 forces model as a theoretical framework for the analysis in the area of innovation and technology in logistics. The study uses the deduction method. This is a conceptual paper based on the analysis of secondary materials, i.e., examples of innovative logistics solutions, reports of research agencies and consulting companies, and literature studies. The results of the analysis show that we are dealing with the digital transformation of the logistics service industry (not digital destruction). Technologies like sensors, robots, automation, cloud computing, data analysis, 3D printing, autonomous vehicles, artificial intelligence, digital twins or blockchain technology supplement but not replace the real world of logistics by providing customers with higher logistics service value.
2

The Mutual Benchmarking Method for Smes’ Competitive Strategy Development

86%
Rostek K.
Foundations of Management
|
2013
|
vol. 5
|
issue 2
81-96
EN
Competitive advantage is a relative feature, evaluated in respect of other competing enterprises. The gaining of sustainable competitive advantage is conditioned by knowledge of own performance and the results of the competitive environment. SMEs have limited opportunities to obtain such information on their own. The method of mutual benchmarking changes this situation by introducing the collaborative network. The aim of the cooperation is to support each of the group members to achieve sustainable competitive advantage, which is the result of a conscious strategy, and not only a matter of chance. This cooperation is based on the collecting and processing of data and sharing information through a common IT platform: for example, a group of Polish SMEs was shown how to implement such a common IT solution and how to provide the information preparing within the proposed service. The whole is a complete proposal for effective support of creating a competitive strategy in SMEs.
3
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Podejście rozmyte w prototypowaniu strategii konkurencyjności MŚP

86%
Rostek K.
Problemy Zarządzania
|
2015
|
issue 2/2015 (52), t.1
162-175
PL
Wspomaganie problemów decyzyjnych źle strukturalizowanych, a do takich należy zaliczyć zadania z zakresu wyznaczania strategii konkurencyjności, przy braku dostępu do wiedzy eksperckiej jest trudne i nieefektywne. Jednak nie wszystkie przedsiębiorstwa, czego przykład stanowią MŚP, mają możliwość korzystania z zasobów wiedzy eksperckiej. Istnieje zatem potrzeba zastąpienia doświadczenia i umiejętności ekspertów wiedzą pozyskiwaną poprzez analizę danych pochodzących z przedsiębiorstwa oraz jego otoczenia. Dane te są zazwyczaj niekompletne i niedokładne, co decyduje o precyzji podejmowanych decyzji. Znane z literatury przedmiotu metody wyznaczania strategii konkurencyjności nie wykorzystują dostępnych technik drążenia danych i uwzględniających ich niepewność technik wnioskowania rozmytego. Proponowana metoda integrująca te techniki stanowi atrakcyjną alternatywę dla stosowanych metod jakościowych lub jakościowo-ilościowych. Weryfikacja metody została przeprowadzona na grupie MŚP świadczących usługi medyczne.
EN
Supporting the decision-making in unstructured problems, such as tasks related to developing a competitiveness strategy, is difficult and inefficient without access to expert knowledge. However, not all companies, for example SMEs, have the ability to use their resources. There is a need to replace the experience and skills of experts by knowledge obtained through the analysis of data from the company and its environment. This data is usually incomplete and inaccurate, which affects the precision of decisions made. The methods of developing competitiveness strategies that are known from literature do not use available data mining techniques or fuzzy inference techniques taking into account the uncertainty of data. The proposed method, which integrates the above techniques, is an attractive alternative to the use of qualitative or qualitative-quantitative methods. The verification of the method was carried out on a group of SMEs providing medical services.
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