How Firm Age and Size Influence Value Creation from Cloud Computing

Most studies of value creation from cloud computing have examined firms that are old in age and large in size. We theorize different value appropriation pathways from cloud computing dependent upon the age and size of a firm, such that there are different pathways for younger firms as compared to established firms, and smaller firms as compared to larger firms. We hypothesize that established firms gain more Business Performance from Enterprise Cloud Capability – a higher-order capability formed of three second-order cloud computing capabilities, through the mediation effect of Business Responsiveness, whereas younger firms gain more Business Performance directly from Enterprise Cloud Capability. We further hypothesize that smaller firms achieve higher Business Performance through the mediating effect of Business Scalability, whereas larger firms achieve more Business Performance directly from Enterprise Cloud Computing. Partial least squares analysis of matched pair survey data from 197 firms in India provides support for our theor

Size Matters for Cloud Capability and Performance

Most research on cloud computing has been conducted in large firms. However, small, and medium enterprises (SMEs) constitute the majority of organizations worldwide. SMEs differ significantly from large firms and organizational size is a significant contingency variable in the organizational context. Accordingly, we examine how SMEs and large firms differ in leveraging cloud capabilities to achieve performance. We suggest that Business Scalability mediates the link between Enterprise Cloud Capability and a firm\u27s Business Performance. We further hypothesize that the positive effect of Enterprise Cloud Capability on Business Performance is stronger for SMEs as they benefit more from Business Scalability than larger firms. We collect primary matched pair survey data from 147 small and large firms in India to test our research model. Empirical analysis using partial least squares provides support for our primary thesis that SMEs and large firms derive value from Enterprise Cloud Capability through different value creation pathways

Greatest common divisors of shifted primes and Fibonacci numbers

Let $(F_n)$ be the sequence of Fibonacci numbers and, for each positive integer $k$, let $\mathcal{P}_k$ be the set of primes $p$ such that $\gcd(p - 1, F_{p - 1}) = k$. We prove that the relative density $\text{r}(\mathcal{P}_k)$ of $\mathcal{P}_k$ exists, and we give a formula for $\text{r}(\mathcal{P}_k)$ in terms of an absolutely convergent series. Furthermore, we give an effective criterion to establish if a given $k$ satisfies $\text{r}(\mathcal{P}_k) > 0$, and we provide upper and lower bounds for the counting function of the set of such $k$'s. As an application of our results, we give a new proof of a lower bound for the counting function of the set of integers of the form $\gcd(n, F_n)$, for some positive integer $n$. Our proof is more elementary than the previous one given by Leonetti and Sanna, which relies on a result of Cubre and Rouse

GPU-Acceleration of Tensor Renormalization with PyTorch using CUDA

We show that numerical computations based on tensor renormalization group (TRG) methods can be significantly accelerated with PyTorch on graphics processing units (GPUs) by leveraging NVIDIA's Compute Unified Device Architecture (CUDA). We find improvement in the runtime and its scaling with bond dimension for two-dimensional systems. Our results establish that the utilization of GPU resources is essential for future precision computations with TRG.Comment: v1: 1+15 pages, comments welcome

A Review on Comparative Analysis of Leaf Spring by Using Different Variable Materials

Reducing weight while increasing or maintaining strength of products is getting to be highly important research issue in this modern world. Composite materials are one of the material families which are attracting researchers and being solutions of such issue. In this paper we describe design and analysis of polymer composite leaf spring. The objective is to compare the stresses, deformations and weight saving of composite leaf spring with that of steel leaf spring. The Automobile Industry has great interest for replacement of steel leaf spring with that of composite leaf spring, since the composite materials has high strength to weight ratio and good corrosion resistance. The material selected was glass fibre reinforced polymer (E-glass/epoxy) and is used against conventional steel. The design parameters can be selected and analysed with the objective of minimizing weight of the composite leaf spring as compared to the steel leaf spring