Augmented Reality (AR) technology adoption has been growing worldwide in recent years. The potential of AR to blend digital information into the physical world has been a challenge for both academia and industry, who attempt to realize and anticipate its impact on users’ perceptions, adoption intention and use. The present paper is an empirical study aimed at making substantial suggestions and investigating an integrative theoretical paradigm which attempts to establish the significance of specific factors which allow using mobile augmented reality apps in shopping malls. The study employs information from the extant literature with a view to extending the Unified Theory on Acceptance and Use of Technology (UTAUT). The results show that performance expectancy, enjoyment and reward are direct determining factors of adopting the specific technology in shopping malls, whereas facilitating conditions, social influence, innovativeness and trust exert an indirect effect on behavioral intention adoption. The research findings have far-reaching theoretical and practical implications for the development, marketing and application of mobile AR apps in the context of the specific contemporary form of shopping.

The banking sector has been considered as one of the primary adopters of Information and Communications Technologies. Especially during the last years, they have invested a lot into the digital transformation of their business process. Concerning their retail customers, banks realized very early the great potential abilities to provide value added self-services functions via mobile devices, mainly smartphones to them; thus, they have invested a lot into m-banking apps’ functionality. Furthermore, the COVID-19 pandemic has brought out different ways for financial transactions and even more mobile users have taken advantage of m-banking app services. Thus, the purpose of this empirical paper is to investigate the determinants that impact individuals on adopting or not m-banking apps. Specifically, it examines two groups of individuals, users (adopters) and non-users (non-adopters) of m-banking apps, and aims to reveal if there are differences and similarities between the factors that impact them on adopting or not this type of m-banking services. To our knowledge, this is the second scientific attempt where these two groups of individuals have been compared on this topic. The paper proposes a comprehensive conceptual model by extending Venkatech’s et al. (2003) Unified Theory of Acceptance and Use of Technology (UTAUT) with ICT facilitators (i.e., reward and security) and ICT inhibitors (i.e., risk and anxiety), as well as the recommendation factor. However, this study intends to fill the research gap by investigating and proving for the first time the impact of social influence, reward and anxiety factors on behavioral intention, the relationship between risk and anxiety and the impact of behavioral intention on recommendation via the application of Confirmatory Factor Analysis and Structural Equation Modeling (SEM) statistical techniques. The results reveal a number of differences regarding the factors that impact or not these two groups towards m-banking app adoption; thus, it provides new insights regarding m-banking app adoption in a slightly examined scientific field. Thus, the study intends to assist the banking sector in better understanding their customers with the aim to formulate and apply customized m-business strategies and increase not only the adoption of m-banking apps but also the level of their further use.

The present study explores the process of Greece’s current decarbonisation transition and its energy policy regarding the country’s two coal-mining areas. Using the Region of Western Macedonia as a case study, we aimed at providing a holistic approach—as until now only few attempts have been made to systematise the ‘Just Transition Plans’ in European Union (EU)—for raising awareness on issues related to water resource management in post-lignite areas and analysing the use of hydropower in Greece. Our research draws on a flexible method approach, serving as a tool to identify gaps in current knowledge and practices, based on two stages—first the analysis of existing literature, reviews, and sources from government’s core strategies, as well as policy and decision-making papers, and then formulating research questions by synthesising relevant data. In Greece, both ‘Just Transition Development Plan of Lignite Areas’ and hydropower production practices overlook water resources management. By summarising our findings and identifying gaps that remain in current approaches, this work indicates future directions by suggesting processes necessary for addressing the complex issue of adoption of sustainable water resources management measures in post-lignite eras in accordance with EU’s water policy.

This study investigates thermal stress and energy-related anxiety as lived, multidimensional manifestations of energy poverty in Western Macedonia, Greece, a coal phase-out region undergoing just transition. Using a 261-household survey, we construct a thermal stress index from four Likert-type items capturing seasonal thermal adequacy, energy anxiety, and restricted use of rooms. High thermal stress is defined as the upper quartile of the index. Descriptive results indicate that high thermal stress affects 27.2% of households, exceeding a 20% threshold, while energy-related anxiety and restricted room use are widespread. We then estimate logistic regression models to examine whether vulnerability characteristics (disability-related thermal/electric needs, single parenthood, dependent children, benefit receipt, elderly presence), financial stress indicators (arrears, energy debt, frequent forced reductions in consumption), and socio-economic controls (income, employment, tenure, age, gender) predict high thermal stress. Adjusted models show that vulnerability markers do not retain statistically independent associations once controls are included. In contrast, tenure and energy-related financial stress are significantly associated with the probability of high thermal stress. The findings highlight the importance of measurement choices and suggest that experiential indicators capture energy-poverty dynamics that are not reducible to income-based targeting, with implications for just-transition policy design and energy justice.

Coal phase-out regions concentrate the distributional risks of the energy transition, yet the tools used to identify energy-poor households in these territories still rely mainly on income and welfare criteria. This study asks whether such criteria can identify the households that suffer. Drawing on a survey of 706 households across six municipalities of Western Macedonia, Greece, the core territory of the national lignite phase-out, we validate a four-item Thermal Stress Index (polychoric ω = 0.885; loadings = 0.71–0.88; no differential item functioning by gender, income, or survey wave) and test nine hypotheses and one descriptive benchmark on prevalence, mechanisms, typologies, and targeting. Winter thermal inadequacy reaches 22.9%, which sits above the 19.0% national EU-SILC figure, reported as descriptive context. Dwelling energy features dominate all socioeconomic predictors of severe thermal stress (pseudo-R-squared 0.482 against 0.024), and no direct tenure association remains once envelope quality is included, while the protective association of income operates primarily through dwelling quality and is not observed across the range of inefficient dwellings. Latent class analysis identifies a hidden energy poverty class, 19.5% of households with severe experiential deprivation, above-average income, and no payment problems. A machine learning targeting audit shows that administrative criteria alone identify severely stressed households and show no discriminative capacity for identifying severely stressed households (AUC = 0.517), whereas adding dwelling and financial-strain information raises discrimination to an area under the curve of 0.938. Finally, in this sample, income-based screening is weakly associated with the households reporting severe thermal deprivation.

The decarbonization of electricity generation transfers a system-level transformation onto a few regions whose productive structure was built around fossil generation. Such regions are expected to adjust through job losses and the reallocation of labor, yet the macroeconomic anatomy of that adjustment is rarely measured. This study examines Western Macedonia, the core lignite territory of Greece, using a panel of 13 Greek NUTS-2 regions from 2000 to 2024 with regional sectoral accounts, employment, household income, and population series. A two-way fixed-effects panel design with an event study, convergence tests, and a McMillan–Rodrik decomposition measures the regional trajectory and the sources of its productivity change. Per-capita output falls about 11% below the path implied by common year effects from 2019, although randomization inference does not attain conventional significance. Industrial gross value added contracts by 62.6%, while industrial headcount rises by 7.6%. Labor productivity falls 31.2% in nominal and 48.5% in real terms, almost entirely within sectors. Adjustment, therefore, operated through productivity, household income, and out-migration rather than headcount employment. The case shows how the recomposition of an energy system reaches regional output, productivity, and demography, and why transition policy judged on job retention alone may misread it.