An integrated SWOT-AHP-fuzzy TOPSIS approach for maturity management following the COVID-19 outbreak: lessons learned from fast fashion

Purpose Focussing on issues that have impacted textiles, clothing and fast fashion following the COVID-19 outbreak, this study aims to identify agility factors pertinent to retail maturity management, mainly on resilience. These factors were then assessed based on priority. Design/methodology/approach The authors conducted a strengths, weaknesses, opportunities and threats (SWOT) analysis to identify the main factors. This analysis was integrated with the analytic hierarchy process to rank the internal and external factors. Then, the authors used fuzzy technique for order of preference by similarity to the ideal solution to evaluate the significant strategies from the SWOT analysis based on adaptability and flexibility. Thus, the authors produced a prioritised list of relevant factors and guidelines useful in practical settings. Findings The authors identified and ranked 14 agility and resilience SWOT factors for maturity management and proposed and prioritised six relevant strategies. These highlighted changes and adaptations must be undertaken by various actors, ranging from the supply/manufacturing side to global retail locations. Research limitations/implications The sampling study of experts is limited, and the application is focussed on one area. Future research might investigate other fields, for retail and industry. Practical implications The output of this study enables a better understanding of the internal and external factors of maturity management for fast-fashion retailers. Hence, it will further help them go through resilience and agility challenges following the pandemic. Originality/value This study significantly contributes to the literature because the results can guide retailers in developing effective decision-making systems for mature business operations following the pandemic outbreak. Here, the authors incorporate internal, external, agility and resilience aspects into one decision-making support system while enhancing existing knowledge on fuzzy multi-criteria decision-making applications. Further, this study discusses critical issues that have affected several aspects of the fashion and textile industry and will likely persist for some time.

Public debt management and the interaction between fiscal and monetary policies

PurposeThis paper aims to investigate the existing relations between the management of public bonds on the dynamics of debt, term structure of interest rates and economic cycle, through a dynamic stochastic general equilibrium model (DSGE), which was estimated through Bayesian inference techniques using data from Brazil.Design/methodology/approachThe model developed was used to investigate the effects of the public debt average maturity management when the economy faces a monetary policy shock. For this, three management scenarios are evaluated, including Brazilian securities average term.FindingsContrary to what might be inferred from DSGE models that limited the analysis of the debt term by imposing only one-period bonds, a contractionary monetary policy shock does not necessarily cause public debt to increase significantly. Debt term structure plays a crucial role in this result since the government does not need to roll the debt over at higher costs when the debt term profile is longer, reducing the debt service costs and then the impact on the overall debt.Originality/valueDespite the relevance of this theme and its implications for the dynamics of the economy, there is still a gap to be filled in the literature when using DSGE models, since most part of the work that used this methodology limited the analysis of the debt term by imposing that government issues only one-period bonds. This paper differs from the others insofar as it promotes an investigation focused on the role played by debt maturity management on the performance of the contractionary monetary policy. This approach can generate a better understanding of debt management policy and its interaction with fiscal and monetary policies.

Partial exclusion of precipitation: throughfall, stemflow and canopy interception in Eucalyptus plantations in southern Brazil

Hydrological behavior in reforested watersheds is different from that under other forms of cover. The variation may be related to aspects intrinsic to species, planting density, physiological maturity, management system and climatic conditions. Periodically, climatic anomalies such as the case of La Ninã are observed, and these are responsible for the alteration of the rainfall regime and consequently generate water deficits in the southern region of Brazil. Water deficit is responsible for reducing growth and productivity for the Eucalyptus genus, in addition to causing changes in hydrological behavior in reforested watersheds. Accordingly, this study compared the partition of rainfall in throughfall, stemflow and canopy interception of eucalyptus trees submitted or not to partial exclusion of precipitation. In the open field, 3 rainfall collectors were installed, and in the stand, for each rain exclusion treatment, 9 throughfall collectors and 9 stemflow collectors were installed. Every two weeks for 12 months, the volume of the collectors was measured. The quantified precipitation was 1627 mm over a year. In the treatment without exclusion, 84.8, 2.9 and 12.3% referred to throughfall, stemflow and canopy interception, respectively, while in the treatment excluding rainfall 80.6, 2.3 and 17.2% referred to throughfall, stemflow and canopy interception. The regression adjustments for throughfall and stemflow showed satisfactory R2 coefficients.

Feeding and Nutritional Strategies to Reduce Methane Emission from Large Ruminants: Review

Livestock are considered as a main source of GHGs emission by contributing approximately 9% of the total global emission and a major concern for global warming. Domestic animals account approximately 94% of the total global emissions of animals from these large ruminants (dairy and beef cattle) produce 30% and 35% of the livestock sectors’ emissions. Most methane (CH4) that is emitted from livestock originates in the forestomach, also called the rumen, of ruminants. Minimizing amount of methane that comes from rumination can improve production efficiency of livestock and is environmentally a sound practice. The emission rate can be minimized by handling proper feeding and nutritional management strategies, which can reduce excretion of GHG during ruminant digestion process. Dietary manipulation, type of carbohydrates animals fed, forage quality and maturity, management of pasture land, nutrient composition of diet and feed intake, feeding frequency, fat supplementation, and inclusion of feed additives such as saponins, tannins and essential oils are among the best feeding and nutritional management strategies to minimize amount of methane produced during rumination. The aim of this review was to investigate feeding and nutritional management strategies used to reduce methane production from ruminants in general and large ruminants in particular.

The model of optimal enterprise maturity management in the conditions of noisy source data

The purpose of this work is to propose a mathematical model of the optimal process for managing the organization›s maturity levels in the presence of interference in the source data. Changes in the organizational maturity of a company are described in terms of linear dynamic management systems. The proposed methodology for optimal management of the organization’s maturity level is demonstrated by the example of evaluating and forecasting the maturity level of one of the departments of a technical university. Baseline data is collected by assessing organizational maturity over several years. The paper uses the Kalman-Letov method of analytical design of optimal controllers, as well as a Kalman recursive filter that estimates the state vector of a dynamic system based on a number of incomplete and noisy data. The constructed model demonstrates plausible behavior in predicting the process of managing organizational maturity. The effect of accelerated growth of controlled indicators, identified as priority ones in the model, is reproduced. Using the Kalman filter allows you to create a control effect on the dynamics of organizational maturity indicators in such a way that the target values of maturity levels are achieved even in conditions significantly distorted when measuring the source data.

AUDIT TATA KELOLA SISTEM INFORMASI PENDAFTARAN SISWA MENGGUNAKAN COBIT 4.1 DI BLK SURAKARTA

The registration information system at the BLK Surakarta enables data redundancy. It will be analyzed to avoid this. The process of registering student services into the system is limited to the number of prospective students but input data is still unable to implement policies so that when data input still occurs or data from the same data or many data often occur. This study uses Cobit 4.1 to audit the registration information system available at the BLK Surakarta. The selected subdomain is the Delivery Subdomain and Support DS 10 and DS11, the purpose of which is to determine the maturity level value in the IT process that has been applied in the BLK Surakarta and provide recommendations that need to be corrected. Based on the maturity level statement in the Maturity Management Guidelines Control Framework. The resulting output is the study indicate that BLK Surakarta must conduct system performance evaluations that are routinely carried out with those responsible for identifying and tracking problems so that they are aware of the current system conditions. In Domain 10 of Delivery & Support, the results of the Current Maturity Level calculation are 3.27 with conditions Determining the Process. While Domain Deliver & Support 11, the result of calculation of Current Maturity Level is 3.31 with the Requirements for Determining the Process. The new student registration section has implemented a payment data management process but the lack of available tools makes data management less than optimal.Keywords: Student Registration Services, Registration Information System, COBIT 4.1, DS 10 and DS11 Domains, Defined Process