Smart grids (SGs) revolutionize existing power grids by using a wide range of developing disruptive technologies to generate clean, efficient, and predictable energy. Our study uses an action research method and focuses solely on the first two stages of the action research process, diagnosis and action planning, to evaluate ways to adopt artificial intelligence (AI) applications in SGs for predictive analytics in practice. The diagnosis stage of the study entails conducting a systematic literature review on AI applications in SGs, highlighting four areas of potential for predictive analytics: power outage prediction, demand response, control and coordination, and AI-enabled security to optimize decision-making, diagnose faults, and improve grid stability and security. The action planning step included a document analysis to devise methods to enable the practical implementation of AI in smart grids for predictive analytics. Finally, we address practical ways for implementing transparent AI for predictive analytics, followed by a conclusion and future research direction. The study’s key conclusion is that more research is needed to complete the action taking (implementing the solution), evaluation (assessing the results), and learning (reflecting on lessons learned) phases of the action research cycle.

This study explore reasons and drivers for replacing on-premise Enterprise Resource Planning (ERPs) systems with cloud-based solutions. The research questions asked was: What reasons and drivers makes an larger organization that has all necessary infrastructure installed and has a working on-premise ERP to replace that with an cloud-based solution. Data was collected through semi-structured interviews from which an thematic analysis was conducted. From the analysis some reasons and drivers were identified, which then was related to earlier gained experience from the literature. The main conclusion is that even if a well working ERP and installed infrastructure exist there are strong reasons and drivers suggested for doing the change. The findings have indicated that the main drivers for large organizations to implement cloud-based ERPs are: the ease of updates, the possibility to scalability and flexibility as well as the potential of having reduced IT costs. The study's contribution lies in the fact that it provides an in-depth understanding of why large organizations choose to implement cloud-based ERPs despite previous investments in on-premise ERPs. © 2025 The Author(s).

Smart grids (SG) transform a traditional electricity energy grid by incorporating many emergingdisruptive technologies to produce clean, efficient, and dependable energy. This review focusesexclusively on one instance of AI application in SG - predictive analytics. We conducted asystematic literature review on AI applications in SG, which resulted in a review of 18 articlespublished after 2015. In the first part of the review, it is concluded that integrating AI into SGcould address many challenges in SGs and transform traditional grids. The second part focuseson the predictive analytic capability enabled through AI in SG. Predictive analytics can be appliedin many contexts to optimize decision-making, diagnose faults, and enhance grid stability. Thelast part presents two use cases for AI-enabled predictive analytics: energy outage prediction andsecurity enhancement. AI, especially the predictive analytic technique, is a future avenue for SGenhancement. The main conclusion from the review is that more research describing empiricalexamples of the adoption and deployment of AI predictive analytics in SG is needed.

Recently different studies discussed the importance of consumer engagement in the power system. Since the power system is undergoing digitalization by harnessing the capabilities of digital technologies for consumers, it triggered our curiosity to understand the role of new actors referred to as smart service providers in building consumer engagement. Therefore, this paper explores consumer engagement potentials via the digitalization of power systems by centering on the development of a smart service provider as a case in Sweden. Our analysis uncovers three types of engagement potentials: Exclusive, connective, and inclusive. These types highlight the evolution from early technology adoption focused on individual benefits, towards a more inclusive model fostering collective action and sustainability in the energy sector. Our results illustrate the dynamic interaction between smart service providers, consumers, and the wider energy grid showcasing the multifaceted nature of consumer engagement. The implication of our result provides insights for policymakers and power system stakeholders in shaping strategies for inclusive and sustainable energy transitions.

Smart home technologies for energy-related purposes have increased attention. At the same time a concept known as energy citizenship (EC), where citizens play an active role in the energy ecosystem has emerged. The increasing automation enabled by Energy smart home technologies (ESHTs) raises questions about citizens’ active role in the emerging smart grid paradigm, potentially undermining EC. A question is how ESHTs play roles in enactment of EC. To address this, our literature review aims to describe the enactment of EC through ESHTs by introducing a conceptual framework. By adopting the lens of affordances, findings reveal that such technologies influence awareness and agency at individual and collective levels, primarily through affordances of monitoring, personalizing, flexible control, and contribution feedback. However, the influence of ESHTs on EC is not uniform, as it depends on citizens’ behaviours, preferences, and the compatibility of various technologies working together.

Smart Meters (SM) are a key element in modern energy systems, utilizing information technologies to optimize energy management. Despite their growing recognition, their global implementation faces numerous challenges. One such challenge arises from the ambiguity surrounding the term "smart," leading to confusion about the defining characteristics of smartness in these meters. Drawing inspiration from Alter's seminal paper "Making Sense of Smartness in the Context of Smart Devices and Smart Systems" (2020), we employ Alter's guiding principles to structure our research. Through a literature review and the application of these principles, our aim is to align chosen studies with the concept of smartness in SM while uncovering additional dimensions. Our analysis results in the development of a framework comprising 16 key aspects that incorporate smartness in SM, providing structured criteria for their evaluation. We offer a tailored framework for a comprehensive and enduring definition of smartness in SM beyond technical considerations.

mHealth is believed to be a strategic solution to Thailand’s healthcare problems. This research intendsto investigate causes for the (non)-adoption of MDme, an anonymized Thai mHealth application forself-care. Our current literature review indicates two research gaps: (1) a lack of qualitative study, and(2) a limited body of research on mHealth (non)-adoption in Thailand.

This paper presents a case study on ERP implementation and how organizational culture impact and influences the implementation. The study builds on semi-structured interviews and an interpretive qualitative method. Organizational culture and ERP implementation has been explored previous. However, there are different opinions on the role it plays. The findings from this study is that it is a major factor that heavily influences a set of other critical success factors. This mean that in order to have a successful ERP implementation it is important to have an understanding of existing organizational culture and treat that as an influencing factor on other critical success factors. © 2024 The Author(s). Published by Elsevier B.V.

Smart Grid has emerged as a phenomenon in energy management by replacing traditional gridswith cutting-edge technology. Central to this innovation are smart meters, which hold significantpotential for transforming energy consumption, monitoring, and regulation. However, thesuccess of smart meter implementation relies heavily on user engagement. This research delvesinto the perceptions, barriers, and concerns associated with smart meter usage, focusing onSweden, where smart meter deployment is mandated by the government. Utilizing a two-stepinvestigation comprising a literature review and interviews with new smart meter users, thisstudy identifies key obstacles and apprehensions hindering acceptance and adoption. Byemploying the Social Construction of Technology (SCOT) theory as an interpretive lens, theanalysis underscores the understanding of users as a relevant social group and the interpretiveflexibility of a technology that, for its closure, requires further negotiation among the differentrelevant social groups. This approach sheds light on the challenges associated with the need forappraisal by users and the commitment to a specific technological choice by institutions. Thefindings offer insights for future research and practice to promote sustainable energy systems.