Value creation and appropriation of software vendors: A digital innovation model for cloud computing

A theoretical framework to companies value creation through a systematic review of intangibles' management

The purpose of this article is to develop a theoretical framework that identifies the intangible aspects that can be managed and contribute to the value creation for organizations. The theoretical framework was developed based on a systematic review performed according to a protocol that proposes steps to identify the intangible aspects present in the scientific literature. Mendeley software assisted in organizing and reading the 3152 articles identified by the systematic review. The results of the article propose a classification of intangible aspects identified in levels that collaborate with the value creation in organizations. The first and main group being called FPVs, encompassing: reputation, innovation, performance, legitimacy, and knowledge. Strategically, the FPVs are subdivided into 15 CSFs, that cover the other 35 intangibles perceived in the studies, called Indicators and that can be managed. The results of the article provide theoretical and managerial implications and can be used by the academic community and by managers of industrial organizations. The results present reflections on how intangible aspects are present in research and the management of organizations. Furthermore, the literature review proves the importance of analyzing and monitoring intangible aspects nowadays.

Unearthing the determinants of digital innovation adoption in the agricultural sector: The role of food security awareness and agricultural experience

Extant research has widely acknowledged the role of digital innovation as a facilitator of digital transformation, presenting solutions for various challenges in various industries. However, prior research demonstrates inadequate discussions on the determinants of digital innovation adoption for digital transformation in developing countries, particularly in the agricultural sector. To address this gap, this study investigates the effect of food security awareness, innovation characteristics, and the moderating role of agricultural experience on behavioral intention to adopt digital innovation in the agricultural sector. A dyadic model based on diffusion innovation theory and the technology acceptance model is proposed to investigate the phenomenon. This study employed a cross-sectional quantitative approach to investigate the phenomenon based on survey data collected from 207 study participants in Ghana's agricultural sector and the partial least square structural equation modeling technique. The study's findings revealed that personal innovativeness significantly affects food security awareness (β = 0.574; p < 0.000), relative advantage (β = 0.699; p < 0.000), compatibility (β = 0.687; p < 0.000), and complexity (β = 0.312; p < 0.000). In addition, food security awareness (β = 0.336; p < 0.000), compatibility (β = 0.257; p < 0.000), and agricultural experience (β = 0.238; p < 0.003) significantly affect behavioral intention to adopt digital innovation. Furthermore, the study revealed that agricultural experience (β = -0.145; p < 0.036) moderates the relationship between compatibility and behavioral intention. Together, these variables explain 78.9 % of the variance in behavioral intention to adopt digital innovation in the agricultural sector in Ghana. The study contributes to the literature on digital innovation adoption in the agricultural sector in developing countries and proffers actionable insights for practitioners.