Environmental, energy, business and development dynamics have received strong research interest. However, previous studies have mainly explored these topics separately. Conversely, we study these ...aspects jointly, constructing a composite indicator and assessing resulting impact on several SDGs domains. The aim of the analysis is to discover the importance of latent aspects in explaning the environmental, energy and business efficiency for specific countries. Estimating this multidimensional efficiency is relevant for the identification of the conditions for the achievement of CO2 containment and sustainable development progress. We make use of the World Bank's World Development Indicators (WB WDI) for selected emerging countries from the Asia-Pacific region ranging from lower-middle-income to upper-middle-income economies, following the WB Group country classifications by income level. We build a composite indicator for eliciting diverse dimensions related to the environment, energy policy and economic factors. The first steps of the indicators analysis are achieved by the combination of the DEA and Tobit analyses. Therefore, we examine the environmental, energy and business efficiency according to the economic development stage of the analysed countries, making use of an entropy index. The index’ robustness is tested at both stages – first, exploring the Tobit analysis, therefore, by inspecting an additional Asia-Pacific country having a different income with respect to the benchmark. The results suggest the creation of country clusters. Above all, China outstands in terms of environmental efficiency and R&D, as a result of a broader energy development strategic plan in the last few decades.
•Environmental, energy, business and development dynamics are analysed jointly for the first time•A composite indicator on selected SDGs components is built•The World Bank's World Development Indicators are used for Asia-Pacific emerging countries•DEA, Tobit, entropy and robustness analyses explore the effect of environmental efficiency on CO2 emissions•We observe different clusters for all sub-regions for the evaluation of efficiency and R&D intensity
The task of improving business performance always raises the problem of choosing the most effective ways to ensure it. The article is devoted to the substantiation of the business efficiency ...criterion, in accordance with the requirements of which those areas of business development that provide it with the greatest efficiency should be determined. The article puts forward and confirms the hypothesis that, according to the selected criterion the greatest efficiency can be provided not only by the variant of the simultaneous implementation of all possible directions for increasing efficiency, but also by the variant of their implementation in parts — in the form of sets of directions. The authors propose a model for the formation of an effective business, using Pareto optimality and implemented on the basis of two developed Algorithms, which is illustrated by a numerical example.
Technological advancements and environmental turbulences require firms to continuously reconfigure their operational models by rapidly transforming the workplace. This study explores how the Internet ...of Things (IoT) can improve employees’ productivity in operations. This conceptualization paper highlights five determinants of employee productivity: learning orientation, problem-solving, acquisition of knowledge, and monitoring and evaluation. The developed conceptual model has a three-phased approach to optimizing the impact of the internet of things with Bayesian classification. This is critical to effectively leverage improvement in employee productivity, profile deviation analysis and to predict the effectiveness of interventions. This study provides vital insights into leveraging the IoT during the fourth industrial revolution, offering the needed continuous development of employee productivity to help with the survival and stability of firms. This will assist the management of a firm by providing practical insights and an actionable approach towards fostering increased employee productivity during challenging times.
Purpose: This study aims to determine the effect of energy resources, greenport, and modern technology on the efficiency of port terminal operational business. Design / methodology / approach: This ...study uses a quantitative approach with multiple linear regression analysis techniques. Findings: The research was carried out at the Gresik port terminal. Research limitations / implications: Limitations in this study using three independent variables and one variable. The independent variables are energy resources, greenport and technology. The variable in question is business efficiency. Practical Implications: The population in this study were all operators and employees in the operational division with a total sample of 57 respondents. Originality / Value: This research was conducted at the Port of Gresik Paper type: Research paper
This study aims to examine the factors affecting the business efficiency of companies in the seafood industry listed on the Vietnamese stock market. The article analyzes the data collected from the ...financial statements of 20 listed seafood companies operating in Vietnam from 2016 to 2020. The study uses EViews software in quantitative analysis to build a panel data regression model to determine the relationship and level of impact of internal factors on the business performance of seafood companies. Business efficiency is measured by return on assets (ROA), return on equity. The research results show that the factors affecting the business efficiency of listed seafood companies include: capital structure, firm size, growth rate of assets, solvency.
In the modern era, Machine learning and Artificial intelligence remain the most remarkable IT application, a technology that has seen unprecedented progress in recent decades. AI and machine learning ...are all closely linked with using a computer to simulate intelligent behaviour with little human interaction. It has been noticed that many large organisations are implementing technologies such as ML and AI to improve their performance and productivity in the business. Companies can create better, more customised and engaging campaigns as AI becomes increasingly adept at collecting massive data faster than ever before. As AI and ML technologies become more widely used, being a technology-powered company will undoubtedly be a must for survival.
AI and ML are guiding on everything from production to delivering products and services to customers. Machine translation, chatbots, and self-learning algorithms are examples of AI technology that may help people better comprehend their surroundings and respond appropriately. Organisations have been embracing artificial intelligence technology advancements to create and maximising their strategic and competitive advantages. Hence, businesses rely heavily on AI to enhance their performance and develop new services to boost productivity and generate new offerings. In addition, they are fundamentally reshaping companies' business and operation processes to better meet customers’ requirements and expectations, resulting in increased efficiency.
Machine learning and artificial intelligence are broad concepts that will be examined further in this article. The report aims to understand the relationship between Machine Learning and Artificial Intelligence in large and diversified business organisations. The researcher used a study methodology oriented toward a more inclusive and comprehensive approach to better account for the intangible aids of ML and AI within organisations.
Incorporating sustainable decisions with the retailer’s operational management has attracted enormous significance due to government regulations and customer demand for environmental consciousness. ...However, incorporating sustainable operations may interfere with the operational performance of the firm and, hence, retail companies need to examine the influence of these operations on overall supply chain efficiency. The present study develops a performance measurement model based on a two-stage network data envelopment analysis (DEA) technique for measuring the joint impact of sustainable operations and operational activities on the business performance of a retail company. A case study of an Indian electronic retail chain is presented to reveal the potentiality and suitability of the proposed models. The novelty of the paper lies in establishing DEA models for an Indian retail chain company and for providing an analytical understanding of the conditions under which the strategic decisions at the operational level successfully support the integration of sustainable operations into the SC management. The results show that the additional sustainable constraints lead to improved operational efficiency of some firms of the retail chain and result in improved business efficiency, while for other firms the integration of sustainable objectives decrease business efficiency. The significance of the study lies in providing efficient target conditions for inefficient retail stores to improve their performance. The findings of the study provide meaningful insights to Indian retailers venturing into sustainable retailing operations for enhancing the operational and business efficiency of the supply chain.
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