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From these data, the authors construct an uncertainty index through the use of a vector autoregressive (VAR) model to measure the impact of uncertainty on GDP, controlling for inflation, which may affect macroeconomic performance. Results indicate that uncertainty is negatively correlated with the economic cycle and the inter-annual variation of the biannual average product.

This study empirically explores the dynamics of expectations of the Uruguayan manufacturing firms about industrial economic growth. This study explores the dynamics of the industrial economic growth expectations of Uruguayan manufacturing firms. The empirical research is based on firms' expectations data collected through a monthly survey carried out by the Chamber of Industries of Uruguay (CIU) in 2003–2018.

Granger causality tests show that uncertainty Granger-causes industrial production growth and a one standard deviation shock on uncertainty generates a contraction in the industrial production growth rate. Finally, the authors use statistical and network tools to identify groups of firms with similar performance on expectations. Results show that higher uncertainty is associated with smaller, more interconnected groups of firms, and that the number of homogeneous groups and the distance between groups increases with uncertainty. These findings suggest that policies focused on the coordination of expectations can lead to the development of stable opinion groups.

The paper introduces new data and new methodologies to analyze the dynamics of expectations of manufacturing firms about industrial economic growth.

1. An empirical approach to compare expectations of firms is introduced.

2. The occurrence of groups of opinion is tested.

3. Central companies in the network of expectations are detected.

4. More uncertainty implies a higher degree of discrepancy between the overall firm’s opinions and more compact opinion groups.

An empirical approach to compare expectations of firms is introduced.

The occurrence of groups of opinion is tested.

Central companies in the network of expectations are detected.

More uncertainty implies a higher degree of discrepancy between the overall firm’s opinions and more compact opinion groups.

In developing countries, women microentrepreneurs are characterized as being informal, creating a challenge for the sustainability of their businesses. The purpose of this study is to analyze different businesses that adopt this form of operation arguing that formality is unnecessary because they are legitimate businesses (institutional reason). In addition, the role of gender in business management was incorporated, and the consistency of the results was validated in the context of COVID-19.

This study used data from the National Household Survey of Peru for the development of a compared analysis between the period 2018–2019 (pre-COVID-19), made up of a sample of 14,077 observations, and the period 2020–2021 (COVID-19), with 7,922 observations. The unit of analysis was the informal microenterprise with more than three years of operation, and the data was analyzed using a logistic model.

The probability of adopting informality for institutional reasons is more significant in the case of women in contrast to the men when it is a business belonging to the commerce sector and operating in a dwelling with basic services, while this probability decreases if the firm does not have a fixed location. These results are consistent in pre-COVID-19 and COVID-19 periods.

The purpose of this research was to contribute to closing gaps in the generation of evidence that helps to understand the behavior of informal microentrepreneurs in developing countries, allowing a better approach to this problem for the design and implementation of suitable public policies. All this will contribute to the accomplishment of the Sustainable Development Goals.

En países en desarrollo, las mujeres microempresarias se caracterizan por ser informales generando un desafío para la sostenibilidad de sus negocios. La presente investigación analizó diferentes negocios que adoptan esta forma de operación con el argumento de que la formalidad no es necesaria porque son negocios legítimos (motivo institucional); además, se incorporó el rol del género en la gestión del negocio, y se validó la consistencia de los resultados en un contexto de COVID-19.

Se utilizaron datos de la Encuesta Nacional de Hogares de Perú para el desarrollo de un análisis comparado entre el período 2018–2019 (pre-COVID-19), compuesto por una muestra de 14.077 observaciones, y el período 2020–2021 (COVID-19), con 7.922 observaciones. La unidad de análisis es la microempresa informal con más de tres años de operación y los datos son analizados mediante un modelo logístico.

Resulta mayor la probabilidad de adoptar la informalidad por motivos institucionales en el caso de las propietarias en contraste con los propietarios, cuando se trata de un negocio perteneciente al sector comercio y que funciona en una vivienda con servicios básicos, mientras que disminuye esta probabilidad si el negocio no posee un local fijo. Estos resultados son consistentes en tiempos de pre-COVID-19 y COVID-19.

La investigación tiene por fin contribuir al cierre de brechas en la generación de evidencia que ayude a comprender el comportamiento de las mujeres microempresarias informales en países en desarrollo, permitiendo una mayor aproximación a esta problemática para el diseño e implementación de políticas públicas adecuadas. Todo esto contribuirá con los Objetivos de Desarrollo Sostenible.

Nos países em desenvolvimento, as mulheres microempreendedoras caracterizam-se por serem informais, criando um desafio para a sustentabilidade dos seus negócios. A presente investigação analisou diferentes negócios que adotam essa forma de operação com o argumento de que a formalidade não é necessária por serem negócios legítimos (razão institucional); além disso, foi incorporado o papel do gênero na gestão empresarial e se validou a consistência dos resultados num contexto de COVID-19.

Se utilizaram dados da Pesquisa Nacional de Domicílios do Peru para desenvolver uma análise comparativa entre o período 2018–2019 (pré-COVID-19), composto por uma amostra de 14.077 observações, e o período 2020–2021 (COVID-19), com 7.922 observações. A unidade de análise é a microempresa informal com mais de três anos de operação e os dados são analisados através de um modelo logístico.

Resulta maior a probabilidade de adoção da informalidade por motivos institucionais no caso das proprietárias em contraste com os proprietários, quando se trata de um negócio pertencente ao setor do comércio e que funciona numa casa com serviços básicos, enquanto esta probabilidade diminui se o negócio não tem local fixo. Estes resultados são consistentes em tempos pré-COVID-19 e COVID-19.

A pesquisa tem como objetivo contribuir no fechamento de brechas na geração de evidências que ajude a compreender o comportamento dos microempreendedores informais nos países em desenvolvimento, permitindo uma melhor abordagem desta problemática para o desenho e implementação de políticas públicas adequadas. Tudo isto contribuirá para o cumprimento dos Objetivos de Desenvolvimento Sustentável.

Selecting and scheduling optimal project portfolio simultaneously is a complex decision-making problem faced by organizations to realize the strategy. However, dynamic synergy relationships among projects complicate this problem. This study aims at constructing a project portfolio selection and scheduling (PPSS) model while quantifying the dynamic synergetic effects to provide decision support for managing PPSS problems.

This study develops a mathematical model for PPSS with the objective of maximal project portfolio benefits (PPBs). To make the results align with the strategy, comprehensive PPBs are divided into financial and non-financial aspects based on the balanced scorecard. Then, synergy benefits evolve dynamically in the time horizon, and system dynamics is employed to quantify them. Lastly, a case example is conducted to verify the applicability of the proposed model.

The proposed model is an applicable model for PPSS while incorporating dynamic synergy. It can help project managers obtain the results that which project should be selected and when it should start while achieving optimal PPBs.

This study complements prior PPSS research in two aspects. First, financial and non-financial PPBs are designed as new criteria for PPSS, making the results follow the strategy. Second, this study illuminates the dynamic characteristic of synergy and quantifies the synergetic effect. The proposed model provides insights into managing a PPSS effectively.

Firms in the architectural, engineering, construction and operations (AECO) sector continue undertaking projects in a disruptive environment due to the coronavirus disease 2019 (COVID-19) pandemic. This study aims to explore environmental turbulence in the AECO project delivery space and suggest mechanisms for enhancing resilience against future pandemics.

The study adopts the quantitative approach by administering 110 survey questionnaires to participants comprising project managers, site engineers, quantity surveyors, contractors and subcontractors.

The study identifies 24 COVID-19 disruptions linked to environmental turbulence categorised as scheduling, performance and productivity, project budget, supply chain, resource allocation and technological and regulatory. The study suggested resilient mechanisms for surviving in future pandemics.

This study enhances the understanding of environmental turbulence from the perspective of COVID-19 disruptions in AECO project delivery, while the implementation of the resilient mechanisms improves capability of AECO firms against future pandemics.

The Takāful (Islamic insurance) industry operates on the principles of Maqāṣid al-Sharī’ah, and of late, the industry has witnessed significant market growth. The purpose of this study is to develop a performance measurement model based on Maqāṣid al-Sharī’ah to evaluate the performance of Takāful firms.

A mixed-method research approach was adopted to conduct the present study. Priorities were assigned to various dimensions of the Maqāṣid model using analytic hierarchy process and by taking inputs from 18 Takāful experts. On the contrary, six experts were involved in identifying the elements and measures for the operationalization of the Maqāṣid dimensions.

Maṣlaḥa (0.359) was found to possess the highest priority, followed by Justice (0.345) and Educating Individuals (0.295). Furthermore, under Necessity, protection of religion (0.398) and protection of life (0.388) are assigned almost similar priorities. These two are followed by the protection of progeny (0.107), protection of wealth (0.058) and protection of intellect (0.047). The final outcome of this study is a hierarchical model for the evaluation of performance of Takāful firms.

The application of the performance evaluation model will provide information to the management of Takāful firms on where they stand in terms of fulfilling Maqāṣid al-Sharī’ah principles. If any firms are found to have a deficiency in a certain part of Maqāṣid components, then proper and adequate measures can be taken to ameliorate the situation.

It is necessary to have a performance evaluation model based upon Maqāṣid al-Sharī’ah to evaluate the performance of Takāful firms as these firms operate on the principles of Maqāṣid al-Sharī’ah. Because there does not exist any such model, this study fills up this gap. Details of the measures that can be used to evaluate the performance of Takāful firms are also provided.

The purpose of this study is to examine the application of sustainable building design and operation within a university setting to determine its economic efficacy and potential for further university investment.

This study incorporated a life cycle cost analysis (LCCA), simple payback period and discounted payback period calculations to determine the return on investment, including a sensitivity analysis when comparing the energy use and financial benefits of the sustainable design of a multi-use facility at Toronto Metropolitan University with buildings of similar size and use-type.

It was found that there is a positive business argument for Canadian Universities to consider the use of sustainable design to reduce energy use and greenhouse gas (GHG) emissions. A reasonable payback period and net present value within an institutional context were determined using a life-cycle cost assessment approach.

This study was limited to the measure of only a single location. Certain assumptions regarding energy pricing and interest rates and the related sensitivities were anchored on a single year of time, and the results of this study may be subject to change should those prices or rates become significantly different over time. Considerations for future research include a longitudinal approach combined with a more detailed analysis of the effect of use-type on the variables discussed.

For university administrators, the results of this study may encourage institutions such as universities to approach new building projects through the lens of energy efficiency and environmental sustainability.

GHG emissions are a well-proven contributor to global climate change, and buildings remain a significant source of GHG emissions in Canada due to their winter heating and summer cooling loads. As a result, sustainable building design on university campuses can mitigate this impact by optimizing and reducing energy consumption.

Research related to the economic evaluation of sustainable building design on university campuses is generally limited, and this study represents the first of its kind in regard to an LCCA of a sustainably designed building on a Canadian University campus.

Industry 4.0 is recognised as a competitive strategy that helps implementers optimise their value chain. However, its adoption poses several challenges. This study investigates and ranks the drivers and barriers to implementing Industry 4.0 in the Thai sugar industry, the world's second-largest sugar exporter. It also evaluates the industry's readiness for Industry 4.0.

The drivers and impediments were identified based on a systematic literature review (SLR) and further investigated using a questionnaire, expert interviews, Pearson's correlation and nonparametric statistical analyses. The IMPULS model was used to assess the industry's readiness.

Most companies expect to minimise costs, develop employees and improve various elements of operational performance and data tracking capability. Thai sugar producers are still at a low readiness level to deploy Industry 4.0. High investment is the major challenge. Small businesses struggle to hire competent employees, collaborate with a highly credible technology provider and adapt to new solutions.

The findings can serve as a benchmark or guide for sugar manufacturers and companies in other sectors, where Industry 4.0 technologies are not yet widely utilised, to overcome existing roadblocks and make strategic decisions. They can also assist governments in developing policies that foster digital transformation and increase national competitiveness.

There is a scarcity of research on Industry 4.0 execution in the sugar industry. This study addresses this gap by investigating the reasons for the hesitancy of sugar producers to pursue Industry 4.0 and proposing solutions.

Even if there is a wealth of research highlighting the key role of values and cultural significance for heritage management and, defining specific interventions on built heritage, seldom the relation to their leading values and values hierarchy have been researched. How do values and interventions relate? What values trigger most and least interventions on heritage? How do these values relate and characterize interventions? And what are the values hierarchy that make the interventions on built heritage differ?

This paper conducts a systematic content analysis of 69 international doctrinal documents – mainly adopted by Council of Europe, UNESCO, and ICOMOS, during 1877 and 2021. The main aim is to reveal and compare the intervention concepts and their definitions, in relation to values. The intensity of the relationship between intervention concepts and values is determined based on the frequency of mentioned values per intervention.

There were three key findings. First, historic, social, and aesthetical values were the most referenced values in international doctrinal documents. Second, while intervention concepts revealed similar definitions and shared common leading values, their secondary values and values hierarchy, e.g. aesthetical or social values, are the ones influencing the variation on their definitions. Third, certain values show contradictory roles in the same intervention concepts from different documents, e.g. political and age values.

This paper explores a novel comparison between different interventions concepts and definitions, and the role of values. The results can contribute to support further research and practice on clarifying the identified differences.

In recent years, cost overrun becomes a common problem in steel building construction projects. The average percentage can vary widely depending on the project type, size, complexity and location. The steel structure change ratio in Taiwan is from 1 to 18% in statistics. The contractors always put every possible effort into preventing or mitigating project cost overruns, and one of the approaches is an accurate cost overrun risk estimate. Traditional project cost overrun risk assessment models mainly focus on macro-level evaluation and may not function well for the project-specific level (micro-level). This study creates a network-like connection model between the outcome (i.e. cost overrun risk) and the associated root causes in which the project status evaluation checklists of design, manufacturing, construction and interfaces are used to evaluate the checklists' influences through the Bayesian network (BN) composed by intermediate causes.

Due to the constraint of data availability, BN nodes, relationships and conditional probabilities are defined to establish a BN-based steel building project cost overrun assessment model following the knowledge of experts. Because of the complexity of the BN, the construction of the BN structure is first to build BN's fault tree (FT) hierarchy. And then, basic BN framework is constructed by the transformation of the FT hierarchy. Furthermore, some worthwhile additional arcs among BN nodes are inserted if necessary. Furthermore, conditional probability tables (CPTs) among BN nodes are explored by experts following the concept of the ranked node. Finally, the BN-based model was validated against the final cost analysis reports of 15 steel building projects done in Taiwan and both were highly consistent. The overall BN-based model construction process consists of three steps: (1) FT construction and BN framework transformation, (2) CPT computation and (3) model validation.

This study established a network-like bridge model between the outcome (i.e. cost overrun risk) and the root causes in a network of which cost influences are evaluated through the project-specific status evaluation checklists of design, manufacturing, construction and interfaces. This study overcame several limitations of the previous cost overrun risk assessment models: (1) few past research support assessment of cost overrun based on real-time project-owned data and (2) the traditional causal models inadequately depict interdependencies among influence factors of cost overrun at the network. The main influence factors of the cost overrun risk at the steel building projects in Taiwan were also examined using sensitivity analysis. The main root causes of cost overrun in steel building projects are design management and interface integration.

The proposed model belongs to the project-specific causal assessment model using real-time project-owned status checklist data as input. Such a model was seldom surveyed in the past due to the complicated interdependence among causes in the network. For practical use, a convenient and simple regression equation was also developed to forecast the cost overrun risk of the steel building project based on the root causes as input. Based on the analysis of cost overrun risk and significant influence factors, proper tailor-made preventive strategies are established to reduce the occurrence of cost overrun at the project.

The purpose of this study is to establish the relationship between chief executive officer (CEO) power, audit committee effectiveness and earnings quality in regulated firms in Uganda.

The authors employed cross-sectional and correlational research designs, based on a sample of 136 regulated firms in Uganda. Data were collected using a questionnaire survey from Chief Finance Officers and Chief Audit Executives. Data were analyzed using a Statistical Package for Social Sciences and Partial Least Squares Structural Equation Modeling.

Results indicate that CEO power causes negative variances in earnings quality. The results also reveal that audit committee effectiveness positively relates relatively similarly with earnings quality. In addition, CEO power and audit committee effectiveness are negative and significantly related. The results further indicate that CEO power and earnings quality are mediated by audit committee effectiveness.

CEO power creates an opaque accounting environment which may leave the stakeholders unable to evaluate the true economic reality of the firm. Audit committee effectiveness is an important enabler for reporting high-quality earnings even in the presence of a powerful CEO.

This study contributes toward a methodological stance of using perceptions to understand earnings quality in regulated firms in Uganda. This is probably the first study that has specifically explored earnings quality using only the fundamental qualitative characteristics of accounting information (as proxies) as enshrined in the Conceptual Framework for Financial Reporting 2018 particularly in Uganda since Her adoption of International Financial Reporting Standards in 1998. Second, the indirect effect of audit committee effectiveness and CEO power is tested.