Alberto Ferraris | Searcharxiv

arXiv2026

Too much of a good thing? Entrepreneurial orientation and the non-linear governance effects of SaaS platforms

This study investigates how entrepreneurial orientation (EO) affects governance of SaaS platforms in SMEs, including strategy alignment and long-term governance performance. This study uses SaaS as a hybrid governance model to examine how transaction cost variables affect strategic alignment and how EO moderates these associations. The research uses multi-study design. Study 1 examined 180 UK and US entrepreneurs' survey data using PLS-SEM with reflecting constructs. Study 2 used a quasi-experimental approach using a secondary dataset from 238 European start-ups to operationalize variables using industry-based indicators. The study found an inverted U-shaped association between human asset specificity, SaaS usage frequency, and SMEs' strategic objectives. Risk-taking deepens the link between human asset distinctiveness and SaaS strategic alignment, while proactiveness strengthens the link to long-term success. Both studies show that SaaS strategic alignment has an inverted U-shaped connection with long-term performance, suggesting that excessive SaaS dependence may harm governance-enabled strategic outcomes. This paper introduces SaaS as a hybrid governance paradigm and examines its strategic influence on SMEs, utilizing transaction cost theory and EO perspectives. It shows the non-linear effects of SaaS adoption on strategic alignment and performance, emphasizing entrepreneurial decision-making in digital technology adoption.

cs.CY↗

arXiv2025

Cryogenic In-Memory Computing with Phase-Change Memory

In-memory computing (IMC) is an emerging non-von Neumann paradigm that leverages the intrinsic physics of memory devices to perform computations directly within the memory array. Among the various candidates, phase-change memory (PCM) has emerged as a leading non-volatile technology, showing significant promise for IMC, particularly in deep learning acceleration. PCM-based IMC is also poised to play a pivotal role in cryogenic applications, including quantum computing and deep space electronics. In this work, we present a comprehensive characterization of PCM devices across temperatures down to 5 K, covering the range most relevant to these domains. We systematically investigate key physical mechanisms such as phase transitions and threshold switching that govern device programming at low temperatures. In addition, we study attributes including electrical transport, structural relaxation, and read noise, which critically affect readout behavior and, in turn, the precision achievable in computational tasks.

cond-mat.mes-hall↗