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The purpose of the paper is 1) to address the importance of contingency at the right level when defining project control baseline, including cost reserves / “room to manoeuvre” and 2) present proactive uncertainty management as a regime to ensure cost effective management of project reserves and contribute to project success.

The paper is a combination of literature study and quantitative research on how contingency develops during the lifetime of a case project. The investigation into the case project includes document study into quantitative material from the case project. The combination of empirical material and theory makes the discussion robust.

Unrealistic low cost uncertainty will lead to unrealistic low contingency. The case study from a Norwegian mega project shows a contingency of 15 per cent in addition to expected costs. The case study shows that by continuous opportunity management and risk reduction, the needs for management reserves are systematically reduced and the contingency is controlled.

This research is limited to one case study. A higher number of cases are necessary to generalise the findings. However, the authors would claim that the systematic mapping of need for management reserve towards the project contingency, and a continuous uncertainty management system will help to obtain cost effective management. The findings from the case study could be applied on similar cases.

The case study shows a way of setting contingencies and managing contingencies through systematic uncertainty management.

Improved management of project provisions will increase the value of future projects.

This study examined Taiwan's fiscal policy responses for sustainable post-COVID-19 recovery. The costs and benefits, aligned with Sustainable Development Goals (SDGs), of fiscal policy responses were identified and valued. Although it may be too early to conclude whether the benefits outweigh the costs, the performance and outcome of fiscal measures were evaluated.

The study relied on secondary data, including governmental official data, legislative reviews, audit reports and public opinion polls to understand objective and subjective benefits and costs in economic, social and environmental dimensions. However, while the costs were measured in monetary terms, some of the benefits (i.e. satisfaction) could not be monetized; therefore, this study focused on identifying and valuing benefits from fiscal measures but set aside the issues of monetizing and discounting.

With respect to the costs, a special budget of NT$840 billion was approved, of which 66.83% was allocated for economic development, 33.12% for social welfare and 0.05% for environmental protection. In terms of the benefits, the economic growth rate was forecasted to be 5.88% in 2021 and 3.69% in 2022, while the average economic growth rate was 2.77% during the period from 2012 to 2019. Social equity was emphasized as various and customized bailout packages were provided to impacted individuals and industries. Moreover, most citizens were confident in the government's efforts to combat the pandemic and stimulate recovery in Taiwan.

This paper comprehensively details Taiwan's experience of fiscal policy responses for sustainable post-COVID-19 recovery. The cost-benefit approach was conceptually adopted. Bearing the value of “build back better” and “rebuild better,” the benefits of fiscal measures are promising, although there are indebted costs of the special budget.

The purpose of this study was to investigate the stability of the cost performance index (CPI) for environmental remediation projects as the topic is not addressed in the literature. CPI is defined as the earned value of work performed divided by the actual cost of the work, and CPI stability represents the point in time in a project after which the CPI varies by less than 20 percent (measured in different ways).

After collecting monthly earned value management (EVM) data for 136 environmental remediation projects from a United States federal agency in fiscal years 2012 and 2013, the authors used the nonparametric Wilcoxon signed-rank test to analyze CPI stability. The authors also used nonparametric statistical comparisons to identify any significant relationships between CPI stability and independent variables representing project and contract characteristics.

The CPI for environmental projects did not stabilize until the projects were 41 percent complete with respect to project duration. The most significant factors contributing to CPI stability were categorized into the following managerial insights: contractor qualifications, communication, stakeholder engagement, contracting strategy, competition, EVM factors, and macro project factors.

As CPI stability for environmental remediation projects has not been reported in the literature, this research provides new insights to help project managers understand when the CPIs of environmental remediation projects stabilize and which factors have the most impact on CPI stability.

This study aims to explore the calculations and valuations that unfold in everyday practices within social care settings. Specifically, the paper concerns the role of accounting in dealing with multiple calculable and non-calculable spaces within the case management process. The study sheds light on the multiplicity produced in constructing the client as an object through the calculations and valuations embedded in the costing and caring practices in social work.

This is a qualitative case study in a Swedish social care organisation, with a specific focus on the calculations and valuations within the case management process. The data have been gathered from 20 interviews with social workers, team leaders, managers and a management accountant, along with more than 36 h of on-site observations and internal organisational documents, including policy documents, guidelines and procedural lists.

The case management process involves interconnected practices in constructing the client as an object. While monetary calculations and those associated with worth are embedded in costing and caring practices, they interact and proliferate in various ways. Three elements are found: transforming service units into centres of calculation, constructing the accounts of calculation and establishing the cost-value calculations. Calculations and valuations are actuated in these elements in describing the need, matching the case with the unit and caseworker and deciding on the measure. The objectification of the client entails the construction of accounts, for example, ongoing qualifications, categorisations and groupings of units, juridical frameworks, case types, needs and measures. As an object multiple, the client becomes different objects at different stages, challenging the establishment accounts, and thus producing a range of calculations and valuations. Such diversity in calculations concomitantly produces more calculations to represent the present and absent multiple facets of the client, resulting in a multiplicity of costing and caring.

The study might flag up for practitioners the possible risks and unintended consequences of depending too much on fixed guidelines and (performance) indicators since social work involves object multiples, which are always in diversity and changeable in situ. Considering the multiple dimensions within the specific contexts could thus be helpful to mitigate such risks in the evaluation of social care processes and the design of (performance) metrics.

This study contributes to the literature on accountingisation by extending the concept as a part of ongoing organisational practices, materialised within the calculations of money and worth in everyday social care. Besides demonstrating their reconsolidation, this study shows a multiplicity of costing and caring practices depending on the way the client is constructed, resulting in the proliferation of accounting(s) and ultimately accountingisation of social work.

Budgeting data curation tasks in research projects is difficult. In this paper, we investigate the time spent on data curation, more specifically on cleaning and documenting quantitative data for data sharing. We develop recommendations on cost factors in research data management.

We make use of a pilot study conducted at the GESIS Data Archive for the Social Sciences in Germany between December 2016 and September 2017. During this period, data curators at GESIS - Leibniz Institute for the Social Sciences documented their working hours while cleaning and documenting data from ten quantitative survey studies. We analyse recorded times and discuss with the data curators involved in this work to identify and examine important cost factors in data curation, that is aspects that increase hours spent and factors that lead to a reduction of their work.

We identify two major drivers of time spent on data curation: The size of the data and personal information contained in the data. Learning effects can occur when data are similar, that is when they contain same variables. Important interdependencies exist between individual tasks in data curation and in connection with certain data characteristics.

The different tasks of data curation, time spent on them and interdependencies between individual steps in curation have so far not been analysed.