Esra Ekinci and Adil Baykasoğlu
The purpose of this paper is to present how complexity on retail supply chains should be recognized and its relationship with the performance. Different supply chain structures…
Abstract
Purpose
The purpose of this paper is to present how complexity on retail supply chains should be recognized and its relationship with the performance. Different supply chain structures and planning horizons have been analyzed to support practitioners taking action on the short, mid and long terms. Confronted complexity in the supply chain has been categorized as system, perceived and value adding. This would also help practitioners to understand the sources of the complexity and if the complexity is useful for the system or not.
Design/methodology/approach
Three different retail supply chain scenarios – each concentrating on different planning horizons – have been simulated on system dynamics software STELLA. Using the new classification scheme for complexity and suggested performance metrics, a multi-perspective analysis has been performed on the STELLA output.
Findings
The results and the methodology can be easily applicable in practice to support decision-making process and to answer “what-if” type scenario analysis on systems design and configuration. Using the selected complexity metrics, complexity of the system considering time factor – static and dynamic – and different information levels – system, perceived and value adding – has been evaluated. Used complexity metrics indicate the problematic areas in the systems to be distinguished.
Originality/value
This paper uses system dynamics modeling in retail supply chains to derive insight about dynamic behavior and to represent the complex interactions and a new classification scheme for system complexity.
Details
Keywords
Esra Ekinci and Adil Baykasoglu
The purpose of this paper is to describe the characteristics of complexity and how a retail supply chain can contain complexity in itself. A case has been provided to show the…
Abstract
Purpose
The purpose of this paper is to describe the characteristics of complexity and how a retail supply chain can contain complexity in itself. A case has been provided to show the measurement of complexity with/without information sharing and the relation of complexity with the performance measures. Quantification of the complexity will help the practitioners to take strategic actions.
Design/methodology/approach
System dynamics simulation has been used to model the retail supply chain with and without information sharing and data visibility. Entropy-based metric used for quantification and comparison of complexity based on the outputs of the models. Performance measures proposed for the retail supply chains to understand the effect of data visibility.
Findings
Paper provides insight about the complexity of retail supply chain perspective. Using system dynamics modelling can be a useful way to perform what-if type analysis before business process changes. Including both complexity and performance measures can be useful to understand if the complexity is good or bad for the business and if it is in manageable amount.
Research limitations/implications
Paper can encourage the future research on retail supply chains.
Practical implications
Approach can be useful to analyse what-if type analysis in practice easily. It can support strategic decision making process.
Originality/value
Combines retail supply chain with complexity and performance measurement.
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Alper Özer, Mehmet Özer, İrem Buran and Esra Genç
This study aims to investigate the impact of brand engagement on consumer responses to brand extensions, particularly in terms of value perception, attitude and purchase intention…
Abstract
Purpose
This study aims to investigate the impact of brand engagement on consumer responses to brand extensions, particularly in terms of value perception, attitude and purchase intention in a masstige context. The study examines low-fit/high-functionality and high-fit/low-functionality products. It also explores the crucial role of self-congruence in enhancing brand engagement, which leads to positive consumer responses towards brand extensions.
Design/methodology/approach
After establishing the theoretical foundations, pre-tests identified the product types and their fit level. In this quantitative study, 464 questionnaires were administered. Confirmatory factor analysis and structural equation modelling validated the model and tested the hypotheses for low-fit/high-functionality and high-fit/low-functionality products of a masstige brand.
Findings
Data analysis shows that brand engagement positively affects value perception, attitude and purchase intention. However, consumers’ responses to brand extension differed for low-fit versus high-fit products. Moreover, social self-congruence and actual and ideal self-congruence positively impact consumers’ active engagement with masstige brands.
Originality/value
This research shows that low-fit extensions of masstige brands can succeed with high functionality, while high-fit extensions mitigate the negative effects of low functionality, a key attribute of masstige brands. The study adds to the limited literature on self-congruence and engagement by identifying actual and ideal self-congruence as determinants of brand engagement. It is also among the first to demonstrate that social self-congruence drives brand engagement for masstige brands.
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Merlin Stone, Eleni Aravopoulou, Geraint Evans, Esra Aldhaen and Brett David Parnell
This paper reviews the literature on information mismanagement and constructs a typology of misinformation that can be applied to analyse project planning and strategic planning…
Abstract
Purpose
This paper reviews the literature on information mismanagement and constructs a typology of misinformation that can be applied to analyse project planning and strategic planning processes to reduce the chances of failure that results from information mismanagement. This paper aims to summarize the research on information mismanagement and provide guidance to managers concerning how to minimize the negative consequences of information mismanagement and to academics concerning how to research and analyse case studies that might involve information mismanagement.
Design/methodology/approach
Literature review accompanied by conceptual analysis.
Findings
Information mismanagement is widespread in organizations, so all those involved in managing and researching them need to be far more aware of the damage that can be done by it.
Research limitations/implications
The research is based on the Western society (Europe and North America). The same research should be carried out in other parts of the world. Also, all the case studies could usefully be investigated in more depth to apply the taxonomy.
Practical implications
Managers should be much more aware of their own and others’ tendencies to mismanage information to their own benefit.
Social implications
Stakeholders in public sector activities, including citizens, should be much more aware of the tendency of the government and the public sector to mismanage information to justify particular policy approaches and to disguise failure.
Originality/value
The taxonomy on information mismanagement is original, as is its application to project planning and strategic decision-making.