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The purpose of this paper is to present the Business Strategy Assessment Model (BSAM) approach, in an attempt to explore the principle dynamics of an energy‐economic system with emphasis on the private actors' point of view and the impact different policy instruments may have on the decisions of private actors with different characteristics.

In the BSAM model, investment decisions under consideration depend on their perceived financial value. Basis for the financial valuation of an investment option is formed by simulating market dynamics with alternative price scenarios. The outputs include: investment strategies, derived as a function of the (uncertain) state vector of future market conditions and risk premium, calculated by contrasting the expected net present value for the optimal timing of the investment and the expected net present value of an immediate investment generation module of the BSAM, while both of these outputs are estimated for each available technology option.

Different models make different assumptions shedding light upon different aspects of the socio‐economic systems they attempt to analyze and hitherto, no such model succeeds in incorporating all the perceptions that are driving the integration of energy policies. BSAM is based on the notion that a convergence between policy evaluation and business strategy assessment models could be truly beneficial for regulators that aim to derive effective energy policies. Both the algorithm adopted and the structure of the modules of BSAM facilitate the analysis of complex interactions in a firm's decision making process, and even more the what‐if analyses needed for alternative policy measure evaluation.

Setting the framework for a modelling approach that incorporates the role of risk‐return perceptions of private actor's with diverse features, portfolio effects, path dependence and agent competition, into appraising energy and climate policies, and suggest that the heterogeneous world of investors requires reflexive assessment techniques. Above and beyond, understanding the drivers and triggers of firm's investment strategies will allow improving the effectiveness of energy policies.

The purpose of this paper is to identify the most appropriate multidisciplinary data sources related with energy optimization decision support as well as the related methodologies, tools and techniques for data capturing and processing for each of them.

A review is conducted on the state-of-play of decision support systems for energy optimization, focussing on the municipal sector, followed by an identification of the most appropriate multidisciplinary data sources related with energy optimization decision support. An innovative methodology is outlined to integrate semantically modeled data from multiple sources, to assist city authorities in energy management.

City authorities need to lead relevant actions toward energy-efficient neighborhoods. Although there are more and more energy and other related data available at the city level, there are no established methods and tools integrating and analyzing them in a smart way, with the purpose to support the decision-making process on energy use optimization.

A novel multidimensional approach is proposed, using semantic technologies to integrate data from multiple sources, to assist city authorities to produce short-term energy plans in an integrated, transparent and comprehensive way.

The purpose of this paper is to examine the electronic identity (eID) market from a social, technical and regulatory viewpoint, and the opportunities/challenges for policymakers. The paper also aims to discuss whether a single European market for identity is realistic and whether a common eID framework for Europe is timely and appropriate.

The paper presents a structured review of user behaviours, a timeline of technical developments, and an analysis of market trends and policy analysis in relation to the eID ecosystem.

Users of electronic systems and applications disclose increasingly more identity‐relevant data. These data are often a prerequisite to the supply of advanced electronic services. In economic terms, the utility functions of users and service providers in relation to eID data are divergent. This generates a market asymmetry, as service providers are able to extract value from user data via opaque value propositions. European policymakers have different options to redress this unbalance. An eID framework based on the “privacy by design” approach is seen to offer a solution to excessive disclosure, market fragmentation and unclear value propositions. The strengths and weaknesses of the approach are assessed.

Results from the application layer of the eID market are based on exploratory research. Evidence from a larger number of cases and sectors is required to determine and articulate emerging value chains.

In discussing an eID framework, policymakers should address critical issues concerning resources and funding, balance between online versus offline transactions and between present versus future technologies, users' actual behaviours, the infrastructure of certification and trust, and governance at the industrial, member state and EU levels.

The paper draws together research in four domains – social, technical, market and regulatory. It addresses for the first time the barriers to the “privacy by design approach”, alongside its virtues.

The purpose of this paper is to reveal the dynamics of the Greek energy sector. As energy sectors contribute substantially to a national economy and stimulate national output and employment, it is important to identify their upward and downward linkages and interrelations with the other sectors of the economy.

To do this and capture such relations in the economy, a general equilibrium model is used. In specific, input–output (I–O) analysis is used and a model is specifically built for the Greek economy to examine in detail the energy sectors. Multiplier and linkage analysis is performed to assess their dynamics in terms of output, household income and employment.

Results indicate that the three energy sectors’ multipliers and elasticities, though are not ranking in the first places, are enough high indicating their strong linkages in the economy and their potentials to enhance the economy’s total output, employment and household income.

Further disaggregation of the economy’s energy sectors is needed to make clearer the separation among renewable and non-renewable sector, to identify and compare the dynamics and contribution of each category in the economy. Additionally, an environmental I–O model would indicate consequences on the environment and not just pure economic benefits.

Through the analysis, it can be seen that energy sectors and secondary energy products have the ability to drive a country’s economic activity through exports and intersectoral linkages, even if it is not a crude petroleum producing economy. Thus, knowledge of the economic impacts of such sectors is a valuable information.

The current study provides significant information of an economy’s energy sectors regarding their ability to support economic activity and employment. A general equilibrium model is used, examining the whole economy, to assess direct and indirect interrelationships.

The purpose of this paper is to assess the potential of renewable energy as an essential future energy source in the Gulf Cooperation Council (GCC) region. This paper summarizes the main projects and measures established to start the transition toward renewable energy. The opportunities and challenges for developing renewable energy projects have been discussed to reach a better understanding of the future of renewable energy in the region.

The paper provides a literature-based study on the status of the renewable energy sector in the GCC, including potentials, projects, targets and strategies. The opportunities and challenges of the development of renewable energy sources in the GCC region have been discussed based on the literature.

The paper shows that the GCC countries have begun to adopt a more proactive approach toward renewable energy, while the reorientation of strategies and plans for renewable energy is evolving in these countries. All of the GCC countries focus on solar and wind energies and plan to invest in waste-to-energy (WtE), while only Saudi Arabia is interested in going for geothermal.

The paper contributes to the provision of an extensive literature review on the development of renewable energy in the GCC countries. It provides an updated and comprehensive overview of the region’s renewable energy potential and highlights the main renewable energy strategies and targets. This paper targets regional decision-makers as well as multilateral stakeholders to formulate a set of recommendations to promote renewable energy deployment and improve industrial capabilities.

This paper aims to present a conceptual framework for the emerging field of green energy platform economics.

The authors develop a conceptual framework based on a careful review of the existing literature, and research into the current provider landscape and insights from academic and industry experts. The authors also examine the implications for the energy sector’s value chain and derive a research agenda based on those areas where research still needs to be pursued.

The framework combines the spatial characteristics of platform models (residential/mobile) with the different types of platform business model (B2C/C2C/C2Grid). Using this framework, the authors illustrate how green energy platforms can fundamentally disrupt the conventional electricity value chain by enabling prosumers to market their assets, creating new arenas for trading and collaboration, and by increasing transparency and competition in the sector. The authors also identify areas where more research is required, particularly empirical studies into energy forms other than electricity and analyses of currently underrepresented aspects such as user interfaces and social interactions.

Green energy platforms have the potential to contribute meaningfully to the energy sector’s decarbonization, digitalization and decentralization, and hence to the deceleration of climate change.

This paper is among the first to provide a holistic perspective on platformization in the energy sector. It also offers a new perspective on platform economics in general that is based on the unique characteristics of energy as an economic good (intangibility, homogeneity, credence good).

This study aims to understand households’ adoption of small-scale solar energy to reduce carbon dioxide emissions that cause due to conventional energy consumptions.

This study is quantitative in nature and households were selected as unit of analysis. Online data has been collected from seven main cities of Pakistan to understand households’ intention to use small-scale solar energy for domestic consumption. A total of 370 valid data were analyzed through partial least square structural equation modeling.

The study findings reveal that publicity information, attitude green norm and perceived behavioral control are the strongest predictors of households’ intention to use small-scale solar energy.

The considered model practically contributes to the literature by understanding households’ intention to adopt solar technologies that are viable means to conserve conventional energy and preserve the environment through less emission of carbon dioxide. In addition to this, understanding the green norm of households is imperative in a developing country, Pakistan where climate risk is high. Understanding household’ green norms would help marketers and practitioners to design and introduce new and more efficient renewable technologies that maintain environmental sustainability.

This study has contributed to theory of planned behavior (TPB) by the inclusion of publicity information and green norms. Previous studies focused on the environmental benefits of using renewable energy sources. This study added novel antecedents into TPB that help to understand the adoption of small-scale solar energy for domestic consumption.

Researchers began investigating the diffusion of renewable energy technologies (RETs) in the late 1990s, and, up to today, a variety of authors have presented different approaches to understand the special characteristics of RET diffusion. However, one factor has been thus far disregarded in the research: the influence of raw material prices on RET diffusion. The dependence of a multitude of technologies on raw material prices became especially apparent in recent years due to rather sudden and volatile price movements in raw material markets. Thus, the aim of this work is to contribute to the research by providing evidence for a direct linkage between raw material price developments and RET diffusion.

A theoretical framework used in this article derives from the concept of induced diffusion. This empirical study is based on publicly available data of 18 Organisation for Economic Co-operation and Development (OECD) countries over 20 years and uses multivariate regression analysis to identify the corresponding diffusion models for selected established and emerging RETs.

Results reveal that crude oil prices play a crucial role in the diffusion of emerging RETs. In addition, a joint reflection of induced diffusion and path dependencies as the theoretical foundation of RET diffusion models might be reasonable.

This paper makes a significant contribution to the literature on induced diffusion in the field of renewable energies by providing insights from publicly available data from 18 OECD-countries. The findings are highly relevant for managers of the energy industry and policymakers in this field.