Literature suggests that new product development (NPD) has an impact on sustainable organizational performance. Yet, previous studies in NPD have mainly been based on “experience-driven”, not data-driven, decision-making in the NPD proces...
13 December 2020
Increasing haze pollution and its adverse effects on human health is pressuring academics and practitioners to search for different solutions for environmental sustainability around the world. Similar to other countries, Pakistan is also affected by...
A product’s impact on environmental issues in its complete life cycle is significantly determined by decisions taken during product development. Thus, it is of vital importance to integrate a sustainability perspective in methods and tools for...
The industry acknowledges the value of using data and digitalization approaches to improve their systems. However, companies struggle to use data effectively in product development. This paper presents a conceptual framework for Data Sensemaking in P...
In the digital economy, promoting enterprise data asset trading and cultivating enterprises’ new quality productive forces are systemic issues. The present paper employs a combined method of QCA and regression analysis to construct a complex me...
Industrial Internet of Things (IoT) is a ubiquitous network integrating various sensing technologies and communication technologies to provide intelligent information processing and smart control abilities for the manufacturing enterprises. The aim o...
Product design is crucial for product success. Many approaches can improve product design quality, such as concurrent engineering and design for X. This study focuses on applying product usage information (PUI) during product development. As emerging...
This work aims to evaluate the current state of research on the use of artificial intelligence, deep learning, digitalization, and Data Mining in product development, mainly in the mechanical and mechatronic domain. These methods, collectively referr...
Digital twin, a new emerging and fast-growing technology, which connects the physical and virtual world, has recently attracted much attention worldwide [...]
Big data analytics, described as the fourth paradigm of science breaking through Industry 4.0 technological development, continues to expand globally as organizations strive to attain the utmost value and sustainable competitive edge. Yet, concerning...
This study focuses on improving multifunctional product development. Instead of face-to-face or other survey methods, we used text mining of online reviews to confirm which characteristics consumers prefer. The reference probability (importance), and...
The sector of knowledge-intensive services is one of the fastest-growing sectors in the present-day economy of knowledge, which explains the scientific interest in developing methods of its quantitative assessment. The object of the research is the d...
Globalization is embedded in socioeconomic development at the glocal scale (local to global). Drawing up from Kate Raworth’s Doughnut economics framework coupled with UN Sustainable development goals, we interrogate the relationship of globalization...
Recently, various Earth Observation Networks (EONs) have been designed, developed and launched by in-situ, on-site and off-site collected data from fixed and moving marine sensors and remote sensing (RS) satellite data. This information can significa...
Increased greenhouse gas (GHG) emissions in the past decades have created concerns about the environment. To stymie global warming and the deterioration of the natural environment, global CO2 emissions need to reach approximately 1.3 tons per capita...
The mobility sector is the world’s second-largest producer of energy-related CO2 emissions, and it is facing a global resource shortage. The demand for circular products, the use of secondary materials in future vehicles, and the need for susta...
The constant rise in the consumption of resources puts the environment under pressure. Most resources are non-renewable in nature, which is why they must be utilized with great care. For this reason, the European Union devotes increasingly more atten...
The loss of a city’s agricultural lands due to land use change through urban development is a global problem, as local food production is an essential green infrastructure for intergenerational sustainability. Like many cities, much of Sydney&r...
The development of new sugarcane varieties affects crop production positively. However, only some studies have investigated how the use of different sugarcane varieties reacts to the impact of climate change, and how to improve sugarcane production e...
This study aims to explore whether and how data elements affect the green total factor productivity (GTFP) of China’s logistics industry, and conducts empirical tests using the super-efficiency SBM model, Malmquist exponential model, and spatia...
Low-enthalpy geothermal energy can make a major contribution towards reducing CO2 emissions. However, the development of geothermal reservoirs is costly and time intensive. In particular, high capital expenditures, data acquisition costs, and long pe...
Improving human well-being is increasingly recognized as essential for movement toward a sustainable and desirable future. Estimates of different aspects of human well-being, such as Gross Domestic Product, or percentage of population with access to...
Previous application of the stochastic frontier model and subsequent measurement of the performance of the crop sector can be criticized for the estimated production function relying on the assumption that the underlying technology is the same for di...
Green total factor productivity (GTFP) is a key driver of China’s green development, and innovative human capital (IHC) plays a pivotal role in enhancing GTFP. This study examines the impact of the quantity and quality dimensions of IHC on regi...
In online commerce systems that trade in many products, it is important to classify the products accurately according to the product description. As may be expected, the recent advances in deep learning technologies have been applied to automatic pro...
Valorisation of food by-products has recently attracted considerable attention due to the opportunities to improve the economic and environmental sustainability of the food production chain. Large quantities of non-edible parts of the artichoke plant...
An Earth Observing System global snow cover extent data products record at moderate spatial resolution (375–500 m) began in February 2000 with the Moderate-resolution Imaging Spectroradiometer (MODIS) instrument onboard the Terra satellite. The...
This study examined the relationship between the early production data and the long-term performance of shale gas wells, including the estimated ultimate recovery (EUR) and economics. The investigated early production data are peak gas production rat...
The Landsat program has been producing an archive of thermal imagery that spans the globe and covers 30 years of the thermal history of the planet at human scales (60–120 m). Most of that archive’s absolute radiometric calibration has been fixed thr...
3 July 2020
Scientific determination of energy and environmental efficiency and productivity is the key foundation of green development policy-making. The hyperbolic distance function (HDF) model can deal with both desirable output and undesirable output asymmet...
Food market globalization, food security as well as increasing consumer demand for safe, minimally processed and healthy food impose the need to establish new approaches for identifying and assessing food quality markers. Nowadays, food industry stak...
Faster product lifecycles make long-term investments in machines for micro assembly riskier. Therefore, reconfigurable manufacturing systems gain more and more attention. But most companies are uncertain if a reconfigurable manufacturing system can f...
As global economic recession and deterioration of the ecological environment become increasingly prominent, every responsible enterprise, especially the energy enterprises with more environmental controversies, will be faced with the most difficult c...
This article provides a novel approach to the traditional constant market share (CMS) analysis recognizing the importance of global production networks and fragmentation that necessitate using trade in value added (TiVA) rather than gross trade. We d...
China is a bank-dominated country; therefore, the sustainability of the Chinese banking industry is important for economic development. In this paper, data envelopment analysis (DEA) was combined with the Malmquist index, and we statically and dynami...
1 May 2019
The open data ventures can be summarized in a way that companies are reluctant to share their data with anyone, whereas governments open their data for citizens, institutions, and businesses as much as they can. However, this principle is changing, s...
Initially designed as an automated ledger tool, Excel swiftly evolved into a data analytics platform for financial analysts to execute intricate financial analyses. Excel is so commonplace in the financial industry that many do not even consider it a...
The establishment of Green Agricultural Development Pilot Programs (GAPPs) is a strategic initiative aimed at advancing agricultural green transformation in China. It plays a crucial role in transitioning the production methods of family farms to mor...
As an intellectual property product that is highly farmer-friendly, geographical indication (GI) products have always garnered significant attention. In recent years, research on how GI products promote agricultural development has been increasing, y...
Some companies improve their production performance using manufacturing or operations models. In the last decade these models have come to be known as “X” production systems (XPS), or company-specific production systems. XPS systems have...
Wrist osteoarthritis (OA) is one of the most common conditions encountered by hand surgeons with limited efficacy of non-surgical treatments. The purpose of this study is to describe the Platelet-Rich Plasma (PRP) mixed-microfat biological characteri...
In this study, two types of data-driven models were proposed to predict biogas production from anaerobic digestion of spent mushroom compost supplemented with wheat straw as a nutrient source. First, a k-nearest neighbours (k-NN) model (k = 1–1...
In the digital economy era, artificial intelligence implementation has accelerated the intellectualization of productive forces, emphasizing the critical relationship between higher education and this transformation. As the primary conduit for develo...
Soil moisture (SM) is a key variable regulating land–atmosphere energy exchange, hydrological processes, and ecosystem functioning. Though important, there are still unresolved problems in accurate SM monitoring and the practical application an...
Data from Earth observation (EO) satellites are increasingly used to monitor the environment, understand variability and change, inform evaluations of climate model forecasts, and manage natural resources. Policymakers are progressively relying on th...
The relevance of this research is due to the need to stabilize the composition of the melting products of copper–nickel sulfide raw materials. Statistical methods of analyzing the historical data of the real technological object and the correla...
In the “2030 Agenda for Sustainable Development” proposed by the United Nations, there are several Sustainable Development Goals (SDGs) related to the sustainable development of urbanization. Therefore, this paper combines remote sensing...
Soil moisture is among the most essential variables in hydrology and earth science. Many satellite missions, such as AMSR-E/2, have been launched to observe it in broader spatial coverage to overcome the shortage of in situ observations. However, the...
Quality improvement is essential for a nation’s economy to transition from large to strong. In the 21st century, a new wave of quality development has emerged globally, and upgrading the quality of enterprise export products is a key measure fo...
Amid escalating concerns over air pollution and demographic shifts, industrial robots have emerged as a key solution to enhancing energy efficiency, reducing emissions, and fostering economic growth. However, existing research often overlooks their r...
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