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The authors analyze a model for N different measurements of a persistent latent time series when measurement errors are mean-reverting, which implies a common trend among measurements. The authors study the consequences of overdifferencing, finding potentially large biases in maximum likelihood estimators (MLE) of the dynamics parameters and reductions in the precision of smoothed estimates of the latent variable, especially for multiperiod objects such as quinquennial growth rates. The authors also develop an R² measure of common trend observability that determines the severity of misspecification. Finally, the authors apply their framework to US quarterly data on GDE and GDI, obtaining an improved aggregate output measure.

The authors propose the information matrix test to assess the constancy of mean and variance parameters in vector autoregressions (VAR). They additively decompose it into several orthogonal components: conditional heteroskedasticity and asymmetry of the innovations, and their unconditional skewness and kurtosis. Their Monte Carlo simulations explore both its finite size properties and its power against i.i.d. coefficients, persistent but stationary ones, and regime switching. Their procedures detect variation in the autoregressive coefficients and residual covariance matrix of a VAR for the US GDP growth rate and the statistical discrepancy, but they fail to detect any covariation between those two sets of coefficients.

This paper aims to report a study into the levels of abstraction hierarchy (LOAH) in two energy distribution teams. The original proposition for the LOAH was that it depicted five levels of system representation, working from functional purpose through to physical form to determine causes of a malfunction, or from physical form to functional purpose to determine the purpose of system function. The LOAH has been widely used throughout human supervisory control research to explain individual behaviour. The research seeks to focus on the application the LOAH to human supervisory control teams in semi‐automated “intelligent” systems.

A series of interviews were conducted in two energy distribution companies.

The results of the study suggest that people in the teams are predominantly operating at different levels of system representation, depending on their role. Managerial personnel work at functional purpose and abstract function levels, whereas operational personnel work at physical function and physical form levels. It is argued that both types of personnel are part of the wider distributed problem‐solving system, which includes both people and technology.

The research provides useful information on the application of the LOAH to human supervisory control teams in semi‐automated “intelligent” systems.

This paper aims to highlight the need to better understand the determinants of adopting (more) collaborative, integrated approaches in strategic destination management plans and operational business procedures which is to improve destination and business resilience towards the growing frequency, increasing number and accelerating impacts of natural disasters around the world.

The paper reviews literature on the topic of tourism planning, development and management in light of natural disasters.

The paper pinpoints a number of factors that hamper the adoption of a (better) integrated and (more) collaborative framework of disaster and destination management among tourism stakeholders. It further proposes how these factors can at least partially be addressed and highlights the role of scholarly research in this endeavour.

The paper highlights the determinants of adopting more integrated and collaborative approaches to managing natural disasters by individual tourism businesses and entire tourist destinations and proposes how these can be harnessed.

This study aims to examine the effect of green human capital readiness on business performance in the green economy era. This study also focuses on investigating whether the relationship is mediated by green market orientation and green supply chain management.

This is a quantitative study using the data of 182 manufacturing small and medium-sized enterprises in East Java, Indonesia. Data are collected using an online survey. A multiple mediation research framework is employed, and partial least squares structural equation modeling is used to test the hypotheses.

The findings demonstrate the following important results. First, green human capital readiness affects business performance. Second, green market orientation partially mediates the effect of green human capital readiness on business performance. Third, green supply chain management partially mediates the effect of green human capital readiness on business performance. Fourth, green market orientation and green supply chain management sequentially mediate the green human capital readiness-business performance relationship.

This study limits its sample to the small and medium-sized enterprises in East Java, Indonesia. Thus, caution must be applied when generalizing to other types of organizations and different regions. The results confirm the resource-based view and sustainability theory in explaining the antecedents of business performance in the era of the green economy which are useful for future researchers and students who are interested in studying human capital, market orientation, supply chain management and business performance.

This study has the following practical implications. First, it implies that the owners/managers of small and medium-sized enterprises need to properly develop their green human capital readiness because they play a strategic role in driving green market orientation, improving green supply chain management and enhancing business performance. Second, it provides useful information to policymakers to make better decision-making in developing environmentally friendly companies.

This study is a response to calls for studies on the antecedents of business performance in the green economy era. It provides empirical evidence for the development of resource-based view and sustainability theory by employing the new construct of green human capital readiness, which has been rarely investigated in previous studies. It also employs a multiple mediation research framework that provides a more comprehensive understanding by including green market orientation and green supply chain management. It also provides empirical evidence in the research setting of small and medium-sized enterprises in Indonesia as an emerging market.

The purpose of this paper is to investigate aerosol evolution in a planar mixing layer from a Lagrangian point of view. After using Monte Carlo (MC) method to simulate the evolution of aerosol dynamics along particles trajectories, the particles size distributions are obtained, which are unavailable in mostly used methods of moments.

Nucleation and growth of dibutyl phthalate (DBP) particles are simulated using the quadrature method of moments in a planar mixing layer, where a fast hot stream with DBP vapor is mixing with a slow cool stream without vapor. Trajectories of aerosol particles are recorded. MC method is used to simulate the aerosol evolution along trajectories.

Investigation on aerosol evolution along the trajectories prompts to classify these trajectories into three groups: first, trajectories away from the active nucleation zone; second, trajectories starting from the active nucleation zone; and third, trajectories crossing over the active nucleation zone. Particle size distributions (psds) along selected representative trajectories are investigated. The psd evolution exhibits interesting behavior due to the synthetic effects of nucleation and condensation. Condensation growth tends to narrow down the psd, and form a sharp front on the side of big particle size. Nucleation is able to broaden the psd through generating the smallest particles. The duration and strength of nucleation have significant effect on the shape of psd.

As far as the authors knowledge, it is the first simulation of aerosol evolution that takes a Lagrangian point of view, and uses MC simulation along particles trajectories to provide the particles size distribution.

There are insufficient health and nutrition education interventions targeting adolescent females in rural contexts in Indonesia. There is also a paucity of research evaluating the impact of implemented programs. This paper aims to develop and test the validity of a tailored education module to improve the knowledge, attitude and skills of adolescent females on health and nutrition.

The study was conducted between 2019 and 2023 in Ban Village, Karangasem Regency. This study used an explanatory sequential mixed methods research approach consisting of three stages: formative research using mixed methods, validation and review of the module by experts using the Delphi technique and pilot testing of the module. In the formative research stage, there were 40 female adolescent respondents implicated, in the validation and module review stage, there were 14 nutrition and public health experts implicated, and in the pilot test, a new cohort of 60 female adolescents were recruited. Validity was assessed by exploring the feasibility, reliability and linguistics of the module. The Delphi score was measured by the mean score and standard deviation.

The Health and Balanced Nutrition Education Module was impactful in improving the health and nutrition of female adolescents in Ban Village. The validation score of the module shows that from the total score of 4, construct reliability obtained a score of 3.18 with a 0.35 standard deviation. The construct feasibility and language revealed better scores, which were 3.31 with 0.4 standard deviations and 3.29 with 0.46 standard deviations, respectively. After dissemination of the module, participants’ mean score of knowledge on the importance of balanced nutrition significantly improved by 68.8% (p-value = 0.0001).

The Health and Balance Nutrition Education Module has been proven to improve the awareness of adolescents on balanced nutrition. Nevertheless, this study also has limitations due to the small number of respondents attending the information sessions and the pilot testing. Further studies should consider using implementation research for scale-up in other parts of Bali.

This study provides insight for health and nutrition educators for creating modules that better align with the context and information needs of the target group particularly for adolescents in rural areas, which are seldom neglected.

This study indicates that the trialed education materials can play a role in improving female adolescents’ knowledge of nutrition throughout their life cycle and their role in preventing stunting and noncommunicable diseases in later adult life.

The health and nutrition module trialed in the study is tailored specifically to the context of rural areas of Bali and validated by public health experts, then tested with 60 adolescents.

This study aims to analyse the effect of corporate governance on investment efficiency and the moderating impact of industry competition on the relationship between corporate governance and investment efficiency.

The research sample includes a total of 36 publicly listed companies assessed by the Indonesian Institute for Corporate Directorship from 2012 to 2018. Testing is performed on full sample and overinvestment and underinvestment subsamples. Additional testing is further carried out using the generalized method of moments to address endogeneity problems and a robustness test is performed to assess the estimated investment efficiency.

Corporate governance can increase investment efficiency and the effectiveness of corporate governance is found to drop when the level of industry competition is higher.

The results of the present study corroborate the suggestion that companies need to implement corporate governance mechanisms. Furthermore, designing a corporate governance mechanism requires the scrutiny of the external environment, including industry competition.

The present study adds the profitability factor in the calculation of investment efficiency levels. This study also considers external factors that can influence the effectiveness of corporate governance in determining investment efficiency.