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Blili, Sam
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Blili, Sam
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- PublicationAccès libreInnovation-Centric Cluster Business Model: Findings from a Design-Oriented Literature Review(2021-4-7)
; ; How should a cluster be designed to foster the innovativeness of its members? In this article, we view self-aware and organised clusters as “meta-organisations” which can deliberately shape their internal structures through design-based interventions. To formulate interventions for cluster design fostering its innovativeness, we adopt a methodology combining a systematic literature review and a design-oriented synthesis. We distinguish between six cluster business model elements: actors and their roles, resources and capabilities, value flows, governance, value propositions and value-creating activities. To gain insight into the properties of these elements conducive to cluster innovativeness, we review literature at the intersection of cluster, meta-organisation, business model and innovation studies. Our study allows to consolidate the extant research into “organised” clustering and the drivers of the cluster actors’ innovativeness. It also helps identify several important unanswered questions in the literature and to suggest potentially fruitful directions for further work. - PublicationAccès libreClusters as institutional entrepreneurs: lessons from Russia(2021-2-15)
; ; In this article, we explore whether organized clusters can act as institutional entrepreneurs to create conditions favorable to innovation in their constituent members. We view self-aware and organized clusters as “context-embedded meta-organizations” which engage in deliberate decision- and strategy-making. As such, clusters are not only shaped by their environments, as “traditional” cluster approaches suggest but can also act upon these. Their ability to act as “change agents” is crucial in countries with high institutional barriers to innovation, such as most transition economies. Focusing on Russia, we conduct two cluster case studies to analyze the strategies these adopt to alter and shape their institutional environments. We find that clusters have a dual role as institutional entrepreneurs. First, these can act collectively to shape their environments due to the power they wield. Second, they can be mechanisms empowering their constituent actors, fostering their reflexivity and creativity, and allowing them to engage in institutional entrepreneurship. Moreover, both collective and individual cluster actors adopt “bricolage” approaches to institutional entrepreneurship to compensate for the lack of resources or institutional frameworks or avoid the pressures of ineffective institutions. - PublicationAccès libreDesigning organised clusters as social actors: a meta-organisational approach(2021-1-21)
; ; In this paper, we aim at exploring whether and how ‘organised’ clusters can be conceived of as deliberate actors within their contexts. Seeing such clusters as meta-organisations, we suggest that these can make ‘organisationality’ design choices, or decisions regarding full or partial implementation of the five elements constitutive of formal organisations: membership, hierarchy, rules, monitoring, and sanctions. To explore the relationship between clusters’ organisationality and actorhood, we conduct two qualitative case studies of organised clusters in Australia. Our findings suggest that clusters can deliberately ‘construct’ themselves both as organisations and social actors. Furthermore, drawing upon the institutional work perspective, we propose that clusters can engage in deliberate identity, boundary, and practice work. However, in doing so, they address both internal and external legitimating audiences. Finally, our findings suggest that clusters’ organisationality design choices may influence the locus of their actorhood resulting in more or less collaborative approaches to institutional work. - PublicationMétadonnées seulement
- PublicationMétadonnées seulement
- PublicationAccès libreRigorous testing of causality models in consumer behavior research(Neuchâtel : Université de Neuchâtel - Faculté des sciences économiques - [Institut de l'Enterprise], 2017)
; The hypothetico-deductive method is one of the pillars of scientific research. Within consumer behavior research in marketing, Structural Equation Modeling (SEM) is an increasingly popular statistical approach to deduction, especially given recent software packages that simplify its use. However, facile reliance on the convenience of SEM can create significant pitfalls, particularly regarding its implementation as a statistical tool. To address this issue, this thesis presents three essays on applying SEM more consistently and rigorously. The first essay proposes a decision protocol for using SEM. The second essay assesses the impact of sample size, choice of estimation methods, and degree of nonnormality of variables on fit indices. Finally, the third essay compares the results of two SEM methods, namely confirmatory factorial analysis (CFA) and exploratory structural equation modeling (ESEM), through four involvement measurement models. The general purpose of this study is to assist researchers — especially novices in statistics — in applying SEM, while discouraging those methods that have been shown unsuitable in the literature. The decision protocol suggested in the first essay can also be used by journal reviewers as a benchmark for evaluating SEM-based articles. Specifically, for this essay we reviewed four articles on SEM review practices, and formulated a proposed baseline based on a synthesis of the authors’experiences and recommendations. The second essay emphasizes the importance of choosing the proper fit index when evaluating a model. Mittal and Lee's (1989) causality model of consumer involvement was taken as a model of study. This study demonstrated that the data characteristics (sample size and degree of nonnormality of the variables) and choice of estimation method (maximum likelihood or general least squares methods) affect the fit indices. However, the impacts of each fit index are different. Using the Monte Carlo simulation method, we propose several suggested criteria to assess the Mittal and Lee’s model (1989) for other replication studies. Overall, we recommend the use of Standardized Root Mean Square Residual (SRMR) and Root Mean Square Error of Approximation (RMSEA), but also we suggest Comparative Fit Index (CFI) and Tucker-Lewis Index (TLI) under certain specific conditions, depending on the sample size and the choice of estimation methods. Adjusted Goodness-of-FIt statistic (AGFI) and Goodness-of-FIt statistic (GFI) are not recommended. The third essay compares two SEM methods, namely Confirmatory Factor Analysis (CFA) and Exploratory Structural Equation Modeling (ESEM). ESEM is a new approach within SEM, and to our knowledge it has not yet been applied in the field of consumer behavior research in Marketing. We compare these two methods by using the concept of consumer involvement in terms of footwear products. This concept was chosen because the issue of its operationalization has caused much controversy in the literature. After comparing four main models used to measure consumer involvement in CFA and ESEM, we rank their performance according to their psychometric qualities. To perform this analysis, data were gathered by means of a survey among the students of the University of Neuchâtel. The results of the study show that the two methods are not interchangeable, but that ESEM can be a helpful complementary tool to CFA for operationalizing constructs. - PublicationMétadonnées seulement
- PublicationMétadonnées seulement
- PublicationMétadonnées seulement
- PublicationAccès libreThe mapping of an agile strategy in a new business world from atoms and recipes to bytes and mental agility(2014)
; In a hostile post-industrial business environment characterized by globalisation and the immaterial age, we first establish an Initial Strategy Map which is based on the state of knowledge and focuses on the agility requirement. After this, based on the data collection of the empirical research, we adopt, synthesise and specify this initial framework as the Proposed Dynamic Strategy Map. Finally, as a result of an in-dept analysis of six business cases, the Proposed Dynamic Strategy Map is validated and clarified at the end of the thesis.
Such a framework offers a strategic approach for small and medium companies (SMEs) from established economies with tradable goods that have a low likelihood of imitation and (the potential for) a global brand. Due to their simple structure and manageable sites and scopes, our decision to analyse SMEs as units of observation can methodologically be justified and adds value to the understanding of their characteristics.
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