Purpose: To provide an integrated architecture framework for e‐government that represents the alignment of IT infrastructure with business process management in public sector organisations and classify the barriers that might complicate the implementation of the proposed architecture framework. The study will help IT practitioners in the public sector learn how to use and manage information technologies to revitalise business processes, improve decision‐making, and gain a competitive advantage from the adoption of e‐government. The proposed architecture framework for e‐government adoption will reduce confusion surrounding e‐government infrastructure in the public sector through understanding the implementation processes, identifying requirements of information and communications technology tools, highlighting the importance of the organisational management resources and the impact of barriers.Design/methodology/approach: A range of earlier studies have been critically examined and analysed to provide an integrated architecture framework for e‐government adoption that can address and identify the standards, infrastructure components, applications, and technologies for e‐government. The authors have divided the architecture framework into four layers; access layer, e‐government layer, e‐business layer, and infrastructure layer; each layer addresses a particular aspect of e‐government architecture. This paper then presents a critical analysis of barriers experienced in public sector organisations, which prevent the successful adoption of e‐government; such barriers being presented in a taxonomy.Findings: Defined organisational and technological requirements that will be necessary for the adoption of e‐government in public sector organisations through construct an integrated architecture framework for e‐government. The difficulties and barriers that have been experienced in public sector organisations which complicate the implementation process of e‐government have been analysed and then identified and presented in a taxonomy.Originality/value: The paper provides architecture framework for e‐government adoption that can help to guide IT managers recognise the technological and organisational requirements for e‐government adoption in public sector organisations. The framework can also help the decision makers to set a vision statement and strategic action plan for future direction in the information technology age through identifying key elements and stages for action. The authors also identify and classify the perceived barriers that might complicate the implementation process of e‐government projects. The awareness of these barriers is important for any e‐government project since they will alert the e‐government project team with any problems or challenges might be existed during the implementation process so they will be ready to overcome them.

Purpose: Food waste occurs in every stage of the supply chain, but the value-added lost to waste is the highest when consumers waste food. The purpose of this paper is to understand the food waste behaviour of consumers to support policies for minimising food waste. Design/methodology/approach: Using the theory of planned behaviour (TPB) as a theoretical lens, the authors design a questionnaire that incorporates contextual factors to explain food waste behaviour. The authors test two models: base (four constructs of TPB) and extended (four constructs of TPB plus six contextual factors). The authors build partial least squares structural equation models to test the hypotheses. Findings: The data confirm significant relationships between food waste and contextual factors such as motives, financial attitudes, planning routines, food surplus, social relationships and Ramadan. Research limitations/implications: The data comes from an agriculturally resource-constrained country: Qatar. Practical implications: Food waste originating from various causes means more food should flow through the supply chains to reach consumers’ homes. Contextual factors identified in this work increase the explanatory power of the base model by 75 per cent. Social implications: Changing eating habits during certain periods of the year and food surplus have a strong impact on food waste behaviour. Originality/value: A country is considered to be food secure if it can provide its citizens with stable access to sufficient, safe and nutritious food. The findings and conclusions inform and impact upon the development of food waste and food security policies.

Government legislation and calls for greater levels of oversight and transparency are leading public bodies to publish their raw datasets online. Policy makers and elected officials anticipate that the accessibility of open data through online Government portals for citizens will enable public engagement in policy making through increased levels of fact based content elicited from open data. The usability and benefits of such open data are being argued as contributing positively towards public sector reforms, which are under extreme pressures driven by extended periods of austerity. However, there is very limited scholarly studies that have attempted to empirically evaluate the performance of government open data websites and the acceptance and use of these data from a citizen perspective. Given this research void, an adjusted diffusion of innovation model based on Rogers’ diffusion of innovations theory (DOI) is proposed and used in this paper to empirically determine the predictors influencing the use of public sector open data. A good understanding of these predictors affecting the acceptance and use of open data will likely assist policy makers and public administrations in determining the policy instruments that can increase the acceptance and use of open data through an active promotion campaign to engage-contribute-use.