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This study aims to provide evidence of how budget officers use non-financial and accrual-based cost information in the budgeting process and how the usage of this information is influenced by financial constraints.

A randomized survey-based field experiment investigating budget officers in 546 Japanese local governments (LGs) was conducted. This allowed us to identify the budget officers' decision-making in the public sector budgeting process by creating and analyzing primary data with regression models.

We found that budget officers suppress budget amounts based on non-financial information of good performances. Under fiscal constraints, officers further reduce budget amounts using information on high accrual-based costs and poor non-financial performance.

Our survey-based field experiment allowed us to obtain primary data from officers making budget decisions. To the best of our knowledge, this study provides the first evidence that non-financial good and poor performance information and accrual-based cost information affect budget officers' decision-making under financial constrain.

This chapter brings an overview of the history of research management in Brazil. Additionally, the main funding agencies for scientific research projects in Brazil are presented and the difficulties faced by researchers with the constant budget cuts for Research, Development and Innovation (RD&I) in the country were also addressed.

Since research management and administration are not yet fully recognised as a profession in Brazil, BRAMA has been working to become a consolidated association, seeking increased recognition by research management professionals through their training, benchmarking, and advocacy for the profession.

The RD&I scenario reinforces the importance of professional management to support researchers and shows the importance of BRAMA and the urgent need for actions to provide training and value to this professional category.

Transportation infrastructure asset management has long been an active but challenging problem for agencies, which urges to maintain a good state of their assets but faces budgetary limitations. Managing a network of transportation infrastructure assets, especially when the number is large, is a multifaceted challenge. This paper aims to develop a life-cycle cost analysis (LCCA) based transportation infrastructure asset management analytical framework to study the impacts of a few key parameters/factors on deterioration and life-cycle cost. Using the bridge as an example infrastructure type, the framework incorporates an optimization model for optimizing maintenance, repair, rehabilitation (MR&R) and replacement decisions in a finite planning horizon.

The analytical framework is further developed through a series of model variations, scenario and sensitivity analysis, simulation processes and numerical experiments to show the impacts of various parameters/factors and draw managerial insights. One notable analysis is to explicitly model the epistemic uncertainties of infrastructure deterioration models, which have been overlooked in previous research. The proposed methodology can be adapted to different types of assets for solving general asset management and capital planning problems.

The experiments and case studies revealed several findings. First, the authors showed the importance of the deterioration model parameter (i.e. Markov transition probability). Inaccurate information of p will lead to suboptimal solutions and results in excessive total cost. Second, both agency cost and user cost of a single facility will have significant impacts on the system cost and correlation between them also influences the system cost. Third, the optimal budget can be found and the system cost is tolerant to budge variations within a certain range. Four, the model minimizes the total cost by optimizing the allocation of funds to bridges weighing the trade-off between user and agency costs.

On the path forward to develop the next generation of bridge management systems methodologies, the authors make an exploration of incorporating the epistemic uncertainties of the stochastic deterioration models into bridge MR&R capital planning and decision-making. The authors propose an optimization approach that does not only incorporate the inherent stochasticity of bridge deterioration but also considers the epistemic uncertainties and variances of the model parameters of Markovian transition probabilities due to data errors or modeling processes.

This study aims to provide a comprehensive overview on positive drivers and negative factors connected to the Covid-19 pandemic which can jointly shape wine tourism intentions.

The present study relies on a large sample of 399 US wine tourists. Partial least square structural equation modelling is adopted for data analysis.

Results reveal that willingness to avoid Covid risk while travelling negatively impacts wine tourism intentions and competitively mediates the effect of Covid phobia. Both situational and personal involvement with wine are key antecedents of future wine tourism intentions.

This research contributes to understand the role of willingness to avoid travel-related risks during health crises. Furthermore, it improves existing knowledge on the effect of wine involvement on wine tourism intentions, highlighting the predictive relevance of situational involvement in explaining this relationship.

Results constitute critical information to practitioners and destination management operators for improving their resilience under similar circumstances. Updated information on wine tourists’ profile is also provided.

To the best of the authors’ knowledge, this is among the first studies exploring how positive and negative drivers act synergically in affecting wine tourism intentions after the Covid-19 outbreak.

The purpose of this paper is to identify the determinants of the proportion of communes that met all national new rural criteria (hereafter NRD communes).

First, the method of propensity score (PS) stratification is used to classify 63 provinces into the subgroups. Second, the ordinary least squares (OLS) model is used with the subgroups classified from the PS stratification method as one of explicative variables. The dependent variable in the OLS model is the proportion of NRD communes.

With the sample of 63 provinces of Vietnam, the author found that per capita income growth rate, high growth of gross regional domestic product (GRDP) and effort of the provincial authority have positive impact on the proportion of NRD communes.

This research suggests that the provincial authority should actively participate in the NRD program, and the economic development is key factor for success implementation of the NRD program.

This research contributes to understand the factors impacting the result of the NRD program and then help to identify the measures to support this program.

The purpose of this paper is to study how budgetary constraints can have ethical implications on patient treatment options.

By applying a qualitative methodological approach (interviews) and participant observation, this paper studies the behaviour of surgeons in scenarios of financial restriction.

The empirical findings show that despite the conflict between the economy and the leges artis, surgeons maintain the ethical and deontological principles of their profession with fair rules of orientation.

The importance of this study can be realised by its continuity. One of the authors is already implicated on a wider research to investigate the influence of the economic scarcity of resources on general surgeons’ ethical behaviours.

This paper is a contribution to understanding the rules that restrain the activities of surgeons. Politicians sometimes do not have a full understanding of the pressures that the medical profession faces in their day-to-day activities. Currently, with the addition of problems relate to COVID-19, politicians and populations seem to better understand the importance of the Serviço Nacional de Saúde (SNS), This paper hopes that this understanding will be not only a conjectural moment.

In conjunction with the economic recession that began in the first decade of this century, health institutions have long faced budgetary constraints that condition their material and human resources and correspondingly shape the scope of health professional activities. Until now, it has not been studied the impact of economic crises on the ethical behaviour of Portuguese surgeons. Therefore, this research is a first step and a useful contribution to understanding the rules that can restrain (or not) the ethical conduct of these health professionals.

The purpose of this paper is to uncover the right type of organizational slack for innovation. It examines how city managers conceive slack, and how they create slack to facilitate innovation while dealing with fiscal stress.

The study is built around a comparative case study approach to uncover contrasts, similarities and patterns of slack-building for innovation in austere times. It relies on the experiences of 12 experienced city managers. Data are sought from elite interviews and one focus group.

The main finding is that innovation in the public sector does not benefit from slack in general, but from a specific type of slack. The evidence shows that useful slack for innovation is not so much about financial slack or HR slack, but about psychological slack.

This study adds to the literature that the key questions of slack research should not only focus on identifying the “right amount” of slack but also on identifying of the “right type” of slack.

Public managers who want to deal with (fiscal) crises more innovatively might reconsider their perceptions of slack and its value. Rather than operating on a pure cost effectiveness paradigm, they should balance the costs of slack and its innovative abilities.

This paper highlights the social/psychological side of austerity management. It concludes that increasing the ability of public organizations to innovatively cope with fiscal stress is not so much about increasing predictive capacity or financial buffers, but about increasing the mental leeway of coworkers.

This study examines how an externally imposed management control system (MCS) – hospital accreditation – influences the salience of organisational tensions and consequently attitudes of management towards the system.

Data are collected using a case study of a large public hospital in Spain. In-depth interviews were conducted with 27 senior and middle managers across different functions. Relying on the organisational dualities classification in the literature, tensions are unpacked and analysed.

Evidence is presented of how hospital accreditation increases the salience of organisational tensions arising from exposition of the organisational dualities of learning, performing, organising and belonging. Salient tensions were evident in the ambivalent attitudes of management towards the hospital accreditation system.

The role of mandatory external control systems in exposing ambivalence and tensions will be of interest to organisational managers.

The study extends the management control literature by identifying an active role for an external MCS (accreditation) in increasing the salience of organisational tensions and triggering ambivalence. Contrary to the prior literature, the embedding of both poles of an organisational duality into the MCS is not a necessary precondition for increased tension salience. The range of attitudes towards MCSs beyond those specified in the previous literature (positive/negative/neutral) is extended to include ambivalence.

The purpose of this paper is to examine the impacts of fiscal policy, namely, net tax and government expenditure on national saving and its nonlinearity. The author first investigates whether the impacts of fiscal policy on national saving have changed after the global financial crisis of 2008. Then, the author tests the nonlinearity of the relationship by taking account of the economic cycle, namely, economic expansion (boom) and economic recession (bust).

The empirical model bases on a reduced-form equation with national saving as a dependent variable, lagged value of national saving, output gap and fiscal policy as independent variables. The two-step system GMM approach was employed to estimate the empirical model, using a panel of 23 emerging Asian economies in the period of 1990-2015.

The empirical results show that tax policy and expenditure policy follow the predictions of the overlapping generation model with finite horizon and the Keynesian view. The nonlinearity of fiscal policy is twofold. The conduct of fiscal policy in the period after 2008 seems effective, while the effect is insignificant in the period before 2008. Likewise, fiscal policy tends to have more significant effects in bust cycle. The effect of tax policy is increased during recession, while the effect of government spending is more pronounced during economic downturn.

The contributions of this paper are twofold. First, it is shown that fiscal policies in the region had more impacts on national saving after the global financial crisis of 2008. Second, the research confirms nonlinear impact of fiscal policy on saving behavior during economic recession and economic boom.

The purpose of this paper is to map the process of opening an innovation network in the context of the Brazilian agroforestry sector.

Qualitative case study of the open innovation network Embrapa Florestas (17 semi-structured interviews, observation and documentary data). Social network analysis (SNA) of the open innovation network from primary data is available at Embrapa Florestas’ system.

Three primary triggers to the opening process of Embrapa Florestas’ innovation network were identified. The process starts with an innovation network with closed network characteristics. The process of opening the innovation network is motivated by a restructuring in its source of fundraising (trigger 1), by the change in strategic orientation toward the internationalization of its network activities (trigger 2) and by opening the black box of its innovation with greater proximity to the productive sector and partner universities (trigger 3). Comparing the pre-opening and post-opening networks (open innovation network), sociometric data allows us to verify that the opening of the innovation network presents better density, clustering and centrality indexes for the network as a whole and for the Embrapa Florestas specifically.

This is one of the first studies that aims to investigate the transition from a closed innovation network to an open innovation network by a public research institute. It may also be considered innovative because it presents practical and managerial relevance – in addition to contributions to public policy makers – which allows for improvements in the development of innovation and technology in the country's strategic sectors.