Dynamic Capabilities Influence on the Operational Performance of Hotel Food Supply Chains: A Mediation-Moderation Model

Abstract

This study develops and tests an integrated model based on the Dynamic Capabilities View (DCV) to empirically examine how dynamic capabilities influence the operational performance of hotel food supply chains through the mediating role of supply chain resilience and the moderating influences of environmental uncertainty and disruption orientation. The model is tested using survey data from 160 five- and four-star hotel managers in Egypt and the findings of structural equation modeling. The findings support the proposed model and reveal a positive effect of total dynamic capabilities and the four dynamic capabilities (i.e., collaboration, integration, agility, and reconfiguration) on the operational performance of hotel food supply chains through the mediating role of supply chain resilience. The results affirm that supply chain resilience mediates the relationship between dynamic capabilities (in total) and operational performance. Furthermore, the results show that environmental uncertainty moderates the above linkage, whereas disruption orientation does not do that. With the extension of DCV, our findings contribute to deepening our understanding of the dynamic capabilities contributing to the development of hotel food supply chain performance. These findings hold crucial implications for academics, managers, and policymakers. They also provide valuable insights on how to effectively control operational performance during disruptions.

Empowering Clusters: How Dynamic Capabilities Drive Sustainable Supply Chain Clusters in Egypt

“…This supports organisations' ability to adapt to changes and make use of opportunities [38,40,41]. In turn, it facilitates their development of absorptive capacity [12] and resilience [20,37], especially since collaboration and governance among organisations support supply chain dynamic capabilities [42].…”

“…Barakat, Boaventura [35] also utilised RBV to investigate how value created can be enhanced through information sharing. Oliveira-Dias, Kneipp [36] focused on DCs and their impact on sustainability through utilising DC theory, while Abou Kamar, Albadry [37] also utilised DC theory to test the impact of collaboration on resilience and eventually organisational performance, while Khan, Piprani [38] used DC theory to investigate the impact of information collection and processes capabilities on organisations' ability to adapt to a dynamic business environment to sustain their performance. Jain, Thomas [39] only used RBV to investigate how corporate social responsibility can be enhanced through collaboration and information sharing.…”

Do Smartphone Addiction and Self-Regulation Failures Affect Students’ Academic Life Satisfaction? The Role of Students’ Mind Wandering and Cognitive Failures

“…According to Hair et al, 116 the structural model is evaluated using the goodness-of-fit indices (GoF), R 2 , p values, effect sizes (f 2 ), and the path coefficient' significances (β). 120 Model Fit in Egypt Results of the model, see Figure 2, revealed that the R 2 values were 33%, 59%, 69%, and 74% for all the dependent variables of the model which indicates that the dependent variables interpret about 33 −74% of changes in the independent variables of the model reflecting a sequential explanatory power. 121 As shown in Table 3 and Figure 2 both β and P values indicate statistical significance between the model variables.…”