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According to the Project Management Institute, 70% of projects fail globally. The causes of project failure in many instances can be identified as non-technical or behavioral in nature arising from interactions between participants. These intangible risks can emerge in any project setting but especially in project settings having diversity of cultures, customs, beliefs and traditions of various companies or countries. This paper provides an objective framework to address these intangible risks.

This paper presents a structured approach to identify, assess and manage intangible risks to enhance a project team’s ability to meet its objectives. The authors propose a user-friendly framework, Intangible Risk Assessment Methodology for Projects (IRAMP), to address these risks and the factors that cause them. Meta-network (e.g., a network of networks) simulation and established social network analysis (SNA) measures provide a quantitative assessment and ranking of causal events and their influence on the intangible behavior centric risks.

The proposed IRAMP and meta-network approach were utilized to examine the project delivery process of an international energy firm. Data were gathered using structured interviews, surveys and project team workshops. The use of the IRAMP to highlight intangible risk areas underpinned by the SNA measures led to changes in the company’s organizational structure to enhance project delivery effectiveness.

This work extends the existing project risk management literature by providing a novel objective approach to identify and quantify behavior centric intangible risks and the conditions that cause them to emerge.

While the monetary returns to education are well documented in the economics literature, the studies on non-monetary returns to education are scarce. The purpose of this study is to provide new insights into the non-market outcomes by exploring how education influences the food consumption choices of households and how these effects vary across different socio-economic groups using household-level calorie consumption data from Sri Lanka.

This study uses two waves of Household Income and Expenditure Surveys – 2006/2007 and 2016. The methods adopted in analysing the data were descriptive statistics and the OLS regression model.

The empirical results show that educated poor households pay less per calorie compared to non-educated poor households, highlighting the role of education in improving the ability to make better food choices and manage household budgets more economically.

This study informs policy-makers of the importance of education for formulating food and nutritional policies, which aim to raise the standard of living of resource-poor and vulnerable households in Sri Lanka as well as other developing countries with similar socio-economic conditions.

To the best of the authors' knowledge, this study is the first to explore the impact of education on the calorie consumption behaviour of people in the Sri Lankan context using nationwide household surveys.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2022-0007

What’s the flow path of knowledge sharing among members in online health community (OHC)? Exploration of this issue could shed light on mechanisms behind user knowledge sharing and interaction on OHC, but few studies have focused on it. This study is going to address this research gap and to provide richer support for subsequent knowledge management related research.

Based on the core-periphery effect, this study combines content analysis and social network analysis to portray the paths of different types of social support for core and periphery users from social support perspective.

Results reveal that the core users follow a pattern of high-stage and low-stage users with distinct needs, while the path pattern of the edge user group mainly consists support from high-stage to low-stage users. Results show that there is apparent distinction between the paths of emotional and informational support between core and periphery users. For core users, emotional support flows from lower stage users to higher stage users, while informational support follows the opposite direction. For periphery users, the paths of emotional support and informational support are identical, with both flowing from higher stage users to lower stage users.

This study explores the flow paths of information support and emotional support for core and periphery users, and discovers the different patterns of these two types of users, providing theoretical guidance for platform administrators to manage users more efficiently and ensure the sustainable development of the platform.