We propose a fractional-order discrete model to capture the dynamics of an economic adoption process with indirect interactions and short-term memory effects. Using a truncated Grünwald-Letnikov (GL) fractional-difference operator of order \(\alpha \in (0,1]\) over a finite horizon of k past steps, the model incorporates memory in a computationally tractable way. A three-dimensional fractional system is introduced, describing non-adopters, adopters, and accumulated knowledge spillovers, analogous to indirect transmission in epidemic models. Sufficient conditions for nonnegativity and boundedness of the trajectories are derived to ensure economic feasibility. An \((\alpha ,k)\) -Basic Adoption Number is defined to analyze the local stability of equilibria, and a lifted companion-matrix approach is employed to relate stability to the spectral radius, revealing how \(\alpha \) and k affect the speed of adjustment and adoption dynamics. Numerical simulations illustrate the impact of fractional memory on technology diffusion, highlighting the persistence effects of knowledge spillovers in economic adoption.