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PurposeLittle previous research has investigated the relationships among strategic orientations, supply chain integration and firm performance. The purpose of this study is to advance a research model that examines the direct and indirect effects of strategic orientations via supply chain integration on firm performance in the Saudi transitional context.Design/methodology/approachThis study is based on data collected from a survey using questionnaires completed by 187 top management members of Saudi firms from different sectors. To analyse the data and test the proposed hypotheses, confirmatory factor analysis and structural equation modelling were conducted using the AMOS statistical analysis package.FindingsResults show that both market orientation and supply chain integration have a significant positive direct effect on Saudi firm performance. They also reveal that supply chain integration fully mediates the effect of technology orientation on firm performance, while partially mediating the effect of market orientation on firm performance.Research limitations/implicationsThis study contributes to the literature by showing how SCI could serve as an organizational capability that links strategic resources to firm performance. The main limitation of this study is that it was not possible to generalize the findings. Future research perspectives were proposed to address this limitation and add new insights to the field.Practical implicationsThe results could help decision-makers in Saudi firms choose the right strategic orientations and aid them in integrating their supply chains by sharing the necessary information and coordinating operations with key partners to enhance their firms' performance.Originality/valueThis study is one of the first to conduct such an investigation in the Saudi context. The study simultaneously examines the role of supply chain integration in linking strategic orientations to firm performance and fills a current research gap in such a transitional context.

Supported by the literature on big data, supply chain management (SCM), and resource-based theory (RBT), this study aims to evaluate the organizational variables that influence the intention of Saudi SCM professionals to adopt big data analytics (BDA) in SCM. A survey of 220 supply chain respondents revealed that both top management support and data-driven culture have a high significant influence on their intention to adopt BDA. However, the firm entrepreneurial orientation showed no significant effect. Also, the findings revealed that supply chain connectivity positively moderates the link between top management support and intention. This study contributes to the practical field, offering valuable insights for decision makers considering BDA adoption in SCM. It also contributes to the literature by helping minimize the research gap in BDA adoption in the Saudi context.

Grounded in the technology-organization-environment framework, this paper investigates critical drivers of mobile commerce (m-commerce) adoption intention by SMEs in Saudi Arabia, a developing country in transition, during the COVID-19 pandemic. A quantitative approach was adopted in this study for data collection and analysis. A proposed research model was tested and validated using PLS-SEM on data collected using a structured questionnaire from a sample of 171 Saudi SMEs located in the capital city of Riyadh. The findings reveal that top management support, environmental uncertainty and perceived benefits are the critical drivers of m-commerce adoption intention. However, perceived costs do not influence firms’ intentions to adopt m-commerce. This study contributes to a better understanding of m-commerce adoption intention in developing countries, particularly in Saudi Arabia. Both theoretical and practical implications of interest can be derived from this study.

The current study combines the institutional theory and the TOE framework to examine the effects of environmental factors along with the mediating role of top managements support on the decision to adopt big data analytics (BDA) in supply chain management (SCM) in Saudi firms as context of a developing economy in transition. The statistical analyses of the PLSPM performed with Smartpls showed that the environment factors could affect directly and indirectly the intention to adopt BDA in SCM. From a theoretical perspective, combining TOE framework with an institutional theory perspective provided us with a research model that highlight the importance of TMS as a mediating factor that can help to assimilate the effects of environment factors when dealing with BDA adoption. From a managerial perspective, this research should be useful for practitioners involved in the SCM and interested by the use of BDA by showing them the critical roles that can be played by environment factors in the decision to adopt BDA in SCM.