Browsing by Author "Matopoulos, Aristides"
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Item Open Access An exploration of the influence of innovations on organizational performance: a dynamic capabilities perspective(Springer, 2022-06-25) Matopoulos, Aristides; Aktas, EmelThis research explores the impact of dynamic innovation capabilities on firm performance, investigating how alliances and networks improve the focal firm’s capabilities. We examine four innovation capabilities and their effect on profitability, performance, and growth of companies in the food industry. Drawing on the extant literature on innovation and dynamic capabilities theory, we develop six hypotheses to explain the relationship between different innovation capabilities and firm performance. We test the proposed research model and hypotheses using partial least squares structural equation modeling (PLS-SEM) with primary data from the food industry in Greece. Results indicate that dynamic innovation capabilities play a crucial role in improving profitability, growth, and overall firm performance through ordinary innovation capabilities. This study provides critical insights into innovation capabilities in the food industry. These insights are significant because prior studies have not investigated the relative effects of different innovation capabilities on profitability, growth, and overall firm performance, particularly the interrelationships between dynamic and ordinary innovation capabilities. The generalization of the study results may be limited due to the sample size.Item Open Access Supply chains under resource pressure: strategies for improving resource efficiency and competitive advantage(Emerald, 2019-12-10) Kalaitzi, Dimitra; Matopoulos, Aristides; Bourlakis, Michael; Tate, WendyPurpose – The purpose of this paper is to investigate the implications of supply chain strategies that manufacturing companies can use to minimise or overcome natural resource scarcity, and ultimately improve resource efficiency and achieve competitive advantage. The relationship between resource efficiency and competitive advantage is also explored. Design/methodology/approach – The proposed research model draws on resource dependence theory. Data were collected from 183 logistics, purchasing, sustainability and supply chain managers from various manufacturing companies and analysed by applying the partial least squares structural equation modelling technique. Findings – The results indicate that both buffering and bridging strategies improve resource efficiency; however, only bridging strategies seem to lead to firm’s competitive advantage in terms of ownership and accessibility to resources. The relationship between resource efficiency and competitive advantage is not supported. Research limitations/implications – Future research could confirm the robustness of these findings by using a larger sample size and taking into account other supply chain members. Practical implications – This research provides guidance to managers faced with the growing risk of resource scarcity to achieve a resource efficient supply chain and an advantage over competitors. Originality/value – Studies have explored the appropriate strategies for minimising dependencies caused by the scarcity of natural resources in the field of supply chain management; however, there is limited empirical work on investigating the impact of these strategies on resource efficiency and competitive advantage. Purpose – The purpose of this paper is to investigate the implications of supply chain strategies that manufacturing companies can use to minimise or overcome natural resource scarcity, and ultimately improve resource efficiency and achieve competitive advantage. The relationship between resource efficiency and competitive advantage is also explored. Design/methodology/approach – The proposed research model draws on resource dependence theory. Data were collected from 183 logistics, purchasing, sustainability and supply chain managers from various manufacturing companies and analysed by applying the partial least squares structural equation modelling technique. Findings – The results indicate that both buffering and bridging strategies improve resource efficiency; however, only bridging strategies seem to lead to firm’s competitive advantage in terms of ownership and accessibility to resources. The relationship between resource efficiency and competitive advantage is not supported. Research limitations/implications – Future research could confirm the robustness of these findings by using a larger sample size and taking into account other supply chain members. Practical implications – This research provides guidance to managers faced with the growing risk of resource scarcity to achieve a resource efficient supply chain and an advantage over competitors. Originality/value – Studies have explored the appropriate strategies for minimising dependencies caused by the scarcity of natural resources in the field of supply chain management; however, there is limited empirical work on investigating the impact of these strategies on resource efficiency and competitive advantage.Item Open Access The use of modelling in purchasing/supply management research(Elsevier, 2016-09-19) Matopoulos, Aristides; Bell, John E.; Aktas, EmelThe purpose of this research to explore the use of modelling in the field of Purchasing and Supply Management (P/SM). We are particularly interested in identifying the specific areas of P/SM where there are opportunities for the use of modelling based methods. The paper starts with an overview of main types of modelling and also provides a categorisation of the main P/SM research themes. Our research shows that there are many opportunities for using descriptive, predictive and prescriptive modelling approaches in all areas of P/SM research from the ones with a focus on the actual function from a purely operational and execution perspective (e.g. purchasing processes and behaviour) to the ones with a focus on the organisational level from a more strategic perspective (e.g. strategy and policy). We conclude that future P/SM research needs to explore the value of modelling not just at the functional or operational level, but also at the organisation and strategic level respectively. We also acknowledge that while using empirical results to inform and improve models has advantages, there are also drawbacks, which relate to the value, the practical relevance and the generalisability of the modelling based approaches.