In this study, we aim to gain a comprehensive understanding of factors that precede and follow very rich system usage within the specific use context of a contemporary IS. Based on in-depth review of literature and analysis of prior studies, we propose a conceptual research model that links comprehensiveness of usage, very rich system usage, use behaviour, and continuance usage moderated by habit. We empirically evaluate the research model using longitudinal data collected over two periods from users of video conferencing applications. The study findings suggest that very rich system usage is pivotal to explain IS continuance usage, but that the comprehensiveness of usage and very rich usage is context specific and tied to the technological functionalities of the information systems in use.

Because of their focus on the acquisition of new technologies, local energy communities are increasingly being recognised as major players in the current energy transition and revealing the valuable role of technological solutions in sustainable development. Nevertheless, the success of these communities is not limited to the acquisition of technologies. Instead, it is strongly dependent on citizen participation. Prior literature has focused much more on the institutional and policy factors than on the roles of citizens and their participation in such communities, and indirectly on sustainability. To address the lack, this study aims to explain the determinants of citizen participation in local energy communities by developing a research model grounded on the stimulus-organism-response (S-O-R) framework, and then through a mixed-methods design, study the impact of technological factors as a stimulus on more social outcomes, namely the organism and response behaviours. Our results highlight the strong impact of sustainable technologies and gamification in citizens’ attitudes. Moreover, the research model reveals a strong influence of empowerment and pro-environmental behaviour in the citizen intention to participate in local energy communities.

Given the current environmental problems, sustainable energy technologies are at the centre of many mitigation efforts, since they refer to energy solutions that help to monitor and manage household energy consumption. Although their adoption has been investigated in previous research, studies about their impact on humanistic outcomes, like well-being, are still very scarce. To fill this gap, this study aims to understand how the impact of sustainable technologies use on well-being may diverge according to different cultural factors. Therefore, a research model was created and tested using a sample of 1602 observations from four European countries. The work discerned a significantly positive impact of sustainable technologies use on perceived well-being, as well as moderation effects of uncertainty avoidance, collectivism, and indulgence on that relationship. The study provides valuable insights into the post-adoption stage of sustainable technologies, especially on how this can vary across different cultures.

Sustainable technologies are increasingly being introduced into consumers’ life as a mitigation effort against environmental problems. However, the study of the main factors that influence its use and satisfaction, but especially their impact on well-being has not been yet fully explored. In fact, post-adoption stages are infrequently studied on this topic. To fill this gap, this study aims to explain the consumers’ inner motivations for sustainable technology use and satisfaction and the impact of those technologies on consumers’ perceived well-being. Moreover, the moderating impact of intrinsic motivations is explored. A contextualized model is created based on a mixed-methods approach. We tested our model using 400 observations from Greece. The work found the significance of all hypotheses, except the moderation between use and perceived well-being. The study provides valuable insights into the understanding of the consumers’ motivations to use sustainable technologies, as well as the role of technologies in more humanistic outcomes.

Artificial intelligence (AI) and big data, among other new technologies, have attracted the attention and interest of practitioners and researchers in cognitive cybersecurity regarding the use of AI technologies to protect digital as well as analogue systems. This mixed-method study explores the main determinants of cognitive cybersecurity adoption at the individual level. We propose an integrated model with unified theory of acceptance and use of technology model in combination with trust, word-of-mouth, information security awareness, and habit. We empirically examine the hypotheses using a survey of 267 people from southern Europe. The results obtained from the use of structural equation modelling show that performance expectancy, effort expectancy, and word-of-mouth affect behavioural intention. The behavioural intention and word-of-mouth influences use behaviour. The results were triangulated with field interviews, which supported the findings. This study offers a valuable contribution to software-selling companies that are at the moment, or will in the future be, interested and/or involved in developing cognitive cybersecurity software to be used at an individual level.

Identity theft poses a significant threat to mobile users, yet mobile identity protection is often overlooked in cybersecurity literature.Despite various technical solutions proposed, little attention has been given to the motivational aspects of protection.Moreover, the disparity between individuals' expectations and their ability to safeguard their mobile identities exacerbates the problem.This study adopts a mixed-methods approach and draws on expectancy-value theory to address these gaps and explore the impact of expectations, capabilities, motivational values, technical measures, and awareness on individuals' intentions to achieve mobile identity protection.Our research reveals that protection awareness acts as a crucial mediator between individuals' expectations and capabilities.Additionally, motivational values not only enhance technical protection measures but also significantly influence identity protection intentions.Furthermore, we identify the moderating effect of protection experience on individuals' expectations and perceived value of identity protection.This study contributes to mobile security literature by highlighting the pivotal role of protection awareness in bridging the divide between individual expectations and actual capabilities in mobile identity protection.

Naranjo-Zolotov, M.; Oliveira, T.; Cruz-Jesus, F.;Martins, J.; Gonçalves, R.; Branco, F. & Xavier, N. (2019). Examining social capital and individual motivators to explain the adoption of online citizen participation. Future Generation Computer Systems, Vol. 92 (march 2019), 302-311. [Advanced online publication on 9 October 2018]. Doi: https://doi.org/10.1016/j.future.2018.09.044

This article presents an analysis of the global digital divide, based on data collected from 45 countries, including the ones belonging to the European Union, OECD, Brazil, Russia, India, and China (BRIC). The analysis shows that one factor can explain a large part of the variation in the seven ICT variables used to measure the digital development of countries. This measure is then used with additional variables, which are hypothesised as drivers of the divide for a regression analysis using data from 2015, 2013, and 2011, which reveals economic and educational imbalances between countries, along with some aspects of geography, as drivers of the digital divide. Contrary to the authors' expectations, the English language is not a driver.

The authors present an in depth understanding of B2B e-commerce adoption and routinization across Europe. The research was informed by the technology, organization, and environment (TOE) framework. A sample of 7,172 firms across Europe was used. A seven factor model is presented that includes technology readiness, technology integration, firm size, obstacles, education level, competitive pressure, and trading partner collaboration, which inform B2B adoption and routinization. Based on adoption and routinization, clusters of European countries, are identified and factors presented that ensure movement from one cluster to the other.

Enterprise resource planning (ERP) post-adoption stages (use and value) and small and medium enterprises (SME) are of high interest among both academics and practitioners. Grounded in the diffusion of innovation theory to explain ERP use and resource-based view theory to explain ERP value the authors postulate that use is an important link to value. The authors propose and test a model using a unique dataset of 883 SMEs from Scandinavia and Iberia. Whereas for both regions, competitive pressure, efficiency, and best-practices are important factors to use ERP, analytics and collaboration are important factors for ERP value. Whereas complexity and training are not relevant for ERP use among Scandinavian SMEs, they are facilitators for Iberian firms. This is an empirical theoretically grounded research studying ERP use and value among SMEs across two distinct European regions, thus adding an international dimension to the IS literature, as well moving beyond dichotomous “adoption versus non-adoption”.