![]() ![]() Similarly, our finding agrees with the theory of Transaction cost economics (TCE), that the element of opportunism in most transactions is an enemy to both supplier relationship management and information sharing (Rindfleisch, 2019). ![]() The finding is also in consonance with Said, (2021) who explored supply chain practices and marketing performance of SMEs: a field study on furniture manufacturing in Egypt and showed that a positive relationship exists between supply chain practices dimensions (supplier relationship management and customer relationship management) and marketing performance. addition, we discuss various challenges of IoT implementations in agriculture. To investigate the factors that contribute to successful IoT implementations in agriculture Diffusion of innovation theory Structural equal modeling for comprehending the antecedents of IoT diffusion in the agricultural sector To explore the determinants of perceived usefulness and ease of use of the IoT in agriculture Technology acceptance model Empirical studies to test adoption constructs, such as system complexity, perceived usefulness, and network compatibility of the IoT in agriculture To examine farmers' intention to apply the technology to different farming processes Theory of planned behavior Surveys using the theory of planned behavior to explore the attitudes toward IoT-enabled agriculture To understand attitudes of farmers towards IoT adoption and the functional barriers that hamper the implementation of the technology in agriculture Innovation resistance theory Interviews to inform the policy and efforts of farmers seeking to establish IoT-based agricultural processes To identify potential stakeholders involved in IoT agriculture, explain their influences, and their requirements Stakeholder theory Experiments to investigate how the IoT can drive the operationalization of holistically sustainable farming models To examine the IoT's contribution to operational efficiencies in terms of cost savings by reducing transaction costs and improving agri-food supply chain collaboration Transaction cost theory Simulation approaches for modeling transaction costs in IoT-enabled agri-food supply chains To investigate how farmers and their supply chains reconfigure their structures after IoT adoption Institutional theory AI techniques to understand and enhance reconfiguration processes of farming operations To study how the IoT can help farmers and their operations to establish operations capability to achieve competitiveness and boost sustainability Theory of dynamic capabilities Simulation approaches for modeling farming systems and agri-food supply chains with a view to efficient and sustainable processes and resources control during complex and dynamic events To apprehend how the IoT can facilitate farming operations during emergencies Contingency theory Case studies and AI approaches to examine different strategies to adapt to changes in the IoT ecosystem A. ![]() MSME’s owners or managers can use the knowledge on the relationship between the strategic alliance and organizational performance, including absorptive capacity in mediating the relationship, for policymaking and manifesting strategic alliances through collaboration with partners to achieve companies’ common goals is also highly recommended. Further analysis attests that absorptive capacity partially mediates strategic alliance and organizational performance relationships this research is specific to MSMEs in Indonesia, and thus generalization to other countries needs further verification. The results suggest that strategic alliance directly influences the organizational performance of MSME’s technology-based in Indonesia. TRANSACTION COST OFFLINEThe online and offline questionnaires were distributed to 308 Indonesian MSME owners/managers. This paper investigates absorptive capacity’s significance in mediating strategic alliance and organizational performance using the partial least square structural equation model (PLS-SEM) Warp PLS 7.0. ![]()
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