Supply chain agility enablers and SME performance: The roles of supply chain risk management performance and risk management culture

Integration management is a significant factor of success in different types of organizations. Yet, the definition of integration management and ways to measure performance in a comprehensive framework need to be investigated in different environments. This paper analyzes the impact of integration management practices on company performance in the United Arab Emirates (UAE). The study uses a questionnaire that was designed with constructs and dimensions following the literature review. The components of integration management are supply chain integration, supplier integration, customer integration, knowledge transfer with customers, and managing knowledge transfer channels with customers. A questionnaire was distributed among organizations in the UAE. Statistical analysis methods were employed to analyze 94 responses, e.g. reliability tests, ANOVA, and correlation analysis. The results show that integration management improves organizational performance to a considerable degree in the UAE. The impact of these practices was positive and significant on the performance of organizations, with an average correlation coefficient of 0.81. The comprehensive assessment for integration best practices and performance and their relationship are done for the first time in the context of the UAE organizations.

The objective of this study was to validate three independent variables, namely market sensing, learning, targeting and positioning, as to dimensions of dynamic marketing capability (DMC). By developing a theoretical framework, this study demonstrates the importance of three dimensions of DMC. This study collected 530 valid samples through an online questionnaire survey in major cities in Indonesia. Respondents are Indonesian citizens aged over 15 years who have stayed at three to five-star international hotels in Indonesia during the Covid-19 period in 2020. This study used a combination of Smart-PLS and SPSS to examine the outer model and inner model. The outcome of this study demonstrated that market sensing had a significant effect on DMC. Then, market learning also had a significant effect on DMC. Next, market targeting and positioning had a significant effect on DMC from the perspective of the customer in international hotels in Indonesia. The outcome of this study is to support the development of a conceptual framework and conduct an empirical evaluation of the relationship between market sensing, market learning, market targeting and positioning, which are DMC dimensions in global marketing. In general, this study contributes to the international hotel industry in developing the marketing area in the context of DMC.

The study’s goal was to demonstrate the modifying role of supply chain agility in the impact of artificial intelligence applications on organizational excellence in Jordanian e-commerce companies. The analytical and descriptive approach was adopted. The study population consisted of 160 companies operating in the e-commerce sector in Jordan. The sample comprised 400 respondents working in senior and middle management positions. The questionnaire was utilized to collect the data. The results showed an impact of artificial intelligence applications in all dimensions (expert systems and neural networks) on the organizational excellence of e-commerce companies in Jordan. The value of the adjusted coefficient of determination (Adj. R2) was .265%. Based on the model’s F value (4.1190) and its level of significance (P; 0.00), the impact of these techniques on organizational excellence is statistically significant. Additionally, the results displayed an impact of supply chain agility on improving the impact of artificial intelligence applications on organizational excellence. The value of the degree of influence ß after introducing the modified variable supply chain agility and the value of R Square increased by .11 at the significance level (Sig). = 0.000. This study recommended training workers to stay up to date with developments in artificial intelligence, expert systems, and neural networks in their operations, control of searching for this evidence within databases, and knowledge representation.