bluuebunny/crossref_metadata_2025 huggingface dataset:
Energy Flexibility Prediction for Data Center Engagement in Demand Response Programs
Authors: Vesa Andreea Valeria , Cioara Tudor , Anghel Ionut , Antal Marcel , Pop Claudia , Iancu Bogdan , Salomie Ioan , Dadarlat Vasile Teodor
Published: February 2020

In this paper, we address the problem of the efficient and sustainable operation of data centers (DCs) from the perspective of their optimal integration with the local energy grid through active participation in demand response (DR) programs. For DCs’ successful participation in such programs and for minimizing the risks for their core business processes, their energy demand and potential flexibility must be accurately forecasted in advance. Therefore, in this paper, we propose an energy prediction model that uses a genetic heuristic to determine the optimal ensemble of a set of neural network prediction models to minimize the prediction error and the uncertainty concerning DR participation. The model considers short term time horizons (i.e., day-ahead and 4-h-ahead refinements) and different aspects such as the energy demand and potential energy flexibility (the latter being defined in relation with the baseline energy consumption). The obtained results, considering the hardware characteristics as well as the historical energy consumption data of a medium scale DC, show that the genetic-based heuristic improves the energy demand prediction accuracy while the intra-day prediction refinements further reduce the day-ahead prediction error. In relation to flexibility, the prediction of both above and below baseline energy flexibility curves provides good results for the mean absolute percentage error (MAPE), which is just above 6%, allowing for safe DC participation in DR programs.
A Study on Reduction of Copper Smelting Slag by Carbon for Recycling into Metal Values and Cement Raw Material
Authors: Wang Jei-Pil , Erdenebold Urtnasan
Published: February 2020

Copper smelting slag is a solution of molten oxides created during the copper smelting and refining process, and about 1.5 million tons of copper slag are generated annually in Korea. The oxides in copper smelting slag include ferrous (FeO), ferric oxide (Fe2O3), silica (SiO2 from flux), alumina (AI2O3), calcia (CaO) and magnesia (MgO). The main oxides in copper slag, which are iron oxide and silica, exist in the form of fayalite (2FeO·SiO2). Since copper smelting slag contains high content of iron, and copper and zinc, common applications of copper smelting slag can be used in value-added products such as abrasive tools, roofing granules, road-base construction, railroad ballast, fine aggregate in concrete, etc. Some studies have attempted to recover metal values from copper slag. This research was intended to recover ferrous alloy contained Cu, a raw material of zinc, from copper slag, and produce reformed slag such as blast furnace slag for Portland cement. As a result, it was confirmed that with reduction smelting by carbon at temperatures above 1400 °C, it is possible to recover pig iron containing copper from copper smelting slag, and the addition of CaO in reduction smelting helped to reduce iron oxide in the fayalite and change the chemical and mineralogical composition of the slag. The copper oxide in the slag can be easily reduced and dissolved in the molten pig iron, and zinc oxide is also reduced to a volatile zinc, which is removed from the furnace as fumes, by carbon during the reduction process. When CaO addition is above 5%, acid slag is completely transformed into calcium silicate slag and is observed to be like blast furnace slag.
A Framework to Predict Consumption Sustainability Levels of Individuals
Authors: Moro Arielle , Holzer Adrian
Published: February 2020

Innovative Information Systems services have the potential to promote more sustainable behavior. For these so-called Green Information Systems (Green IS) to work well, they should be tailored to individual behavior and attitudes. Although various theoretical models already exist, there is currently no technological solution that automatically estimates individual’s current sustainability levels related to their consumption behaviors in various consumption domains (e.g., mobility and housing). The paper aims at addressing this gap and presents the design of GREENPREDICT, a framework that enables to predict these levels based on multiple features, such as demographic, socio-economic, psychological, and factual knowledge about energy information. To do so, the paper presents and evaluates six different classifiers to predict acts of consumption on the Swiss Household Energy Demand Survey (SHEDS) dataset containing survey answers of 2000 representative individuals living in Switzerland. The results highlight that the ensemble prediction models (i.e., random forests and gradient boosting trees) and the multinomial logistic regression model are the most accurate for the mobility and housing prediction tasks.
Sustainable Value Creation in the Food Chain: A Consumer Perspective
Authors: Tóth József , Migliore Giuseppina , Schifani Giorgio , Rizzo Giuseppina
Published: February 2020

The growth of diet-related diseases is becoming an important societal concern and a challenge for a more sustainable society. This has developed important trends in food consumption, including the increasing demand for food with a natural attribute and with health claims (e.g., enriched food). Consumers tend to evaluate these two attributes as superior ones and tend to pay a premium price for them. Accordingly, the value added by producers also will upturn if they take into consideration the consumers’ preferences. However, to the best of our knowledge, consumer preference over the two types of products (natural and enriched) is not yet completely clear. The present study tries to contribute to reducing this gap by analyzing Hungarian consumer preferences for natural fruit juices over enriched ones and exploring the drivers which guide consumer choices for the two attributes. For this purpose, we analyze young consumers’ willingness-to-pay (WTP) for natural and enriched fruit juices using a seemingly unrelated regression (SUR) to derive the two value-added activities. Our results show that the fruit juice with the natural attribute is preferred over the enriched one, and that there is a common feature behind the perception of the two attributes, namely the healthiness. Based on the natural fruit juice characteristic, these results open space for local production in gardens or in small-medium sized farms. This could have beneficial effects, both for sustainable development of rural areas and for the promotion of healthy food systems towards sustainability in food consumption.
Effects of Aquatic Macrophytes on Spatial Distribution and Feeding Habits of Exotic Fish Species Lepomis macrochirus and Micropterus salmoides in Shallow Reservoirs in South Korea
Authors: Choi Jong-Yun , Kim Seong-Ki
Published: February 2020

Aquatic macrophytes determine the physical complexity of aquatic environments and may influence the distribution and feeding habits of fish species. We explored the influence of different microhabitats, including vegetated beds (VB), edges of vegetated beds (EVB), and open water zones (OW), on two exotic fish species (Lepomis macrochirus and Micropterus salmoides) in shallow reservoirs. Lepomis macrochirus was more abundant in VB than in other zones and M. salmoides was mainly distributed in EVB. In VB, L. macrochirus mainly consumed branchiopods and isopods, while M. salmoides in EVB relied on relatively larger food items, such as dipterans, odonatans, and young fish. The consumption of young fish by M. salmoides, including L. macrochirus, showed little difference between winter and summer. Based on these findings, we suggest that young L. macrochirus (~20 cm) utilize VB as a refuge to avoid predation by M. salmoides. Meanwhile, M. salmoides mainly occupied in areas surrounding VB, preying on animals at these edges. As such, the presence of aquatic macrophytes appears to plays a key role in the survival and population growth of L. macrochirus. Proper management of aquatic macrophytes can help reduce populations of exotic fish and support native fish species.
Sustainable Use and Conservation of the Environmental Resources of the Etna Park (UNESCO Heritage): Evaluation Model Supporting Sustainable Local Development Strategies
Authors: Sturiale Luisa , Scuderi Alessandro , Timpanaro Giuseppe , Matarazzo Benedetto
Published: February 2020

Rural areas are recognized as multifunctional spaces, where traditional agro-silvo-pastoral and other human activities (unrelated rural tourism, ecotourism, processing industries of agricultural and or extractive products, land maintenance, trade in local products, etc.) take place alongside each other. The integrated endogenous development model, established to mitigate the effects of human activity in protected areas, relies on the enhancement of specific resources of individual territories through the active participation of the community to promote local development. This model is intrinsically connected with the model of sustainable development, based on three cornerstones: environmental, social, and economic sustainability. The difficulty in achieving a reasonable balance among these values relates primarily to areas subject to protection (i.e., Parks and Natural Reserves). Ultimately, the environmental culture emphasizes the sustainability of natural resources, obviously in relation to these values and to the vulnerability of these areas. This paper outlines some relationships between environmental protection and the exercise of agricultural activities and other human activities in protected areas by using the theory of “rough sets”. The study aims to show that in the complex context of Etna Park (recognized World Heritage of Humanity by UNESCO in 2013), the model developed by the “rough sets” could provide useful guidance to policy makers to formulate local development strategies according to a model of the sustainable management of protected areas.
Sustainability and Resilience of Alternative Lifestyles: An Ethnography of Self-organizing Communities in South China
Authors: Wang Peng
Published: February 2020

As a manifestation of sustainability, self-organizing communities (SOCs) have been proven to be increasingly related to the environmental issues and living space crisis in the urban areas. Many social groups regard self-organizing communities as an ideal alternative to the problems of rapid urbanization since they challenge unsustainable materialism and consumerism. To penetrate this idea into a wider range of socio-cultural, economic, and political activities, such communities are moving towards becoming economically cooperative social entities and are usually characterized by small scale, co-construction, and co-creation. Community studies further point out that contemporary communities are somewhat decentralized, giving members a good sustainable mix of freedom and togetherness. This means that, compared to traditional communes, individualized differences within self-organizing communities are more prominent. They are susceptible to different cultural and political contexts, which have received little attention from Chinese scholars. To fill this gap, this study adopts ethnographic approaches to explore the lifestyle experiments of a self-organizing community (AnotherLand) in South China. It reviews the difficulties associated with identifying and characterizing SOCs. It examines how this self-organizing community maintains its sustainability by experimenting with specific lifestyles (internal factors) and building extensive social networks (external factors). It further suggests that sustainability should be taken as an essential conceptual framework for embodying the success or failure of self-organizing communities.
The Potential and Trend of End-Of-Life Passenger Vehicles Recycling in China
Authors: Li Yang , Fujikawa Kiyoshi , Wang Junbo , Li Xin , Ju Yiyi , Chen Chenyi
Published: February 2020

The contradiction between limited resources and rapid development in the automobile industry has been driving society to seek the supply of recyclable resources from End-of-Life Vehicles (ELVs). It has become an urgent need for vehicle recycling policymakers to have an overall understanding of the end-of-life (EoL) vehicle population, as well as for vehicle producers to note what and how they can benefit from ELV recycling. This paper estimated the potential population of EoL passenger vehicles, all recyclable resources from them, as well as the economic values of these recyclable resources. The results show that in 2030, with a lighter-weight trend of passenger vehicles, more than 26.3 million passenger vehicles will be retired with 19.1 million tons of recyclable steel and 6.2 million tons of plastics. The theoretical economic value of all recyclable resources will reach 101.3 billion yuan ($14.4 billion) in 2030, which is an average of approximately 2.4 thousand yuan ($341.8) for each EoL passenger vehicle. It is time for the vehicle producers to shift to a manufacturing mode considering such large potential of ELV recycling. The scenario analysis suggests that in the context of a light-weighting trend, ELV resource recovery in the future calls for improvement in the recycling and reuse technologies of plastics and rubbers.
Representation and Preservation of Heritage Crafts
Authors: Zabulis Xenophon , Meghini Carlo , Partarakis Nikolaos , Beisswenger Cynthia , Dubois Arnaud , Fasoula Maria , Nitti Vito , Ntoa Stavroula , Adami Ilia , Chatziantoniou Antonios , Bartalesi Valentina , Metilli Daniele , Stivaktakis Nikolaos , Patsiouras Nikolaos , Doulgeraki Paraskevi , Karuzaki Effie , Stefanidi Evropi , Qammaz Ammar , Kaplanidi Danae , Neumann-Janßen Ilka , Denter Ulrike , Hauser Hansgeorg , Petraki Argyro , Stivaktakis Ioannis , Mantinaki Eleni , Rigaki Anastasia , Galanakis George
Published: February 2020

This work regards the digital representation of tangible and intangible dimensions of heritage crafts, towards craft preservation. Based on state-of-the-art digital documentation, knowledge representation and narrative creation approach are presented. Craft presentation methods that use the represented content to provide accurate, intuitive, engaging, and educational ways for HC presentation and appreciation are proposed. The proposed methods aim to contribute to HC preservation, by adding value to the cultural visit, before, and after it.
A Market-Based Economic Instrument to Better Use Water in Agriculture
Authors: Brînzan Oana , Drăgoi Marian , Bociort Dalia , Țigan Eugenia , Mateoc-Sîrb Nicoleta , Lungu Monica
Published: February 2020

The paper presents a market-oriented system of returnable guarantees that can be combined with tradable permits to encourage farmers to use alternative sources of water instead of the regular watering network, or to steer the farming system toward environmentally-friendly systems like low tillage and/or organic farming. Factual data from real farming were bootstrapped to test whether or not a set of farms could save water and reduce chemical input due to the higher cost of maintaining the status quo. Based on interactions between water, pesticides, fertilizers, and crops, the system of returnable guarantee determines the farmers to reduce the amount of water harvested from aquifers, generates benefits for the most environmentally-friendly farmers, and stimulate conversion to organic farming.
Estimation of Small Onshore Wind Power Development for Poverty Reduction in Jubek State, South Sudan, Africa
Authors: Gudo Adam Juma Abdallah , Deng Jinsong , Belete Marye , Abubakar Ghali Abdullahi
Published: February 2020

Energy security is one of the challenging issues hindering developmental progress in developing countries. Wind power as a renewable energy source can play a significant role in poverty reduction if adequate information is provided. In this study, multi-approach technics were applied for a better understanding of the wind energy potential in Jubek State, South Sudan. Geographic Information System (GIS), remote sensing, and mathematical equations were applied in identifying suitable locations, potential power per unit area, wind farm layout, design of appropriate turbine size, and utilization of wind energy in both agricultural and domestic sectors. Wind speed, land use land cover, and digital elevation maps of the study area were processed in ArcGIS, MATLAB (Weibull distribution), and Minitab software. The results show that 17,331.4 km2 (94.64%) of the study area is appropriate for wind power generation, with wind density of about 3.65 W/m2 and installation capacity about 19,757.79 MW, resulting in an annual energy production of about 7269.29 GWh. With the proposed wind turbine, one ton of various crops and animal products require 1–4 and 2–20 turbines, respectively. Therefore, the step-by-step procedures followed in this study will contribute to poverty reduction through improving agricultural productivity and food quality.
Optimizing Bus Line Based on Metro-Bus Integration
Authors: Wei Junjun , Long Kejun , Gu Jian , Ju Qingling , Zhu Piao
Published: February 2020

Metros are usually built and added on the basis of a completed bus network in Chinese cities. After the metro construction, it is faced with the problem of how to adjust and optimize the original bus lines based on the new metro system. This research mainly proposes a bus line optimization method based on bus and metro integration. In the consideration of the geographical space, the cooperation and competition relationship between bus and metro lines is qualitatively introduced according to the geographical location and service range of metro (800 m radius) and bus (500 m radius) stations. The competition and cooperation indexes are applied to define the co-opetition relationship between bus and metro lines. The bus line optimization model is constructed based on the co-opetition coefficient and Changsha Metro Line Number 2 is chosen as a case study to verify the optimization model. The results show that the positive competition, efficient cooperation, and travel efficiency between metro and bus has been significantly enhanced after optimization. Moreover, this paper provides a reasonable reference for public transport network planning and resource allocation.
Transforming Turkish Universities to Entrepreneurial Universities for Sustainability: From Strategy to Practice
Authors: Genç Sema Yılmaz , Sesen Harun , Castanho Rui Alexandre , Kirikkaleli Dervis , Soran Semih
Published: February 2020

Today, universities are seen as the main actors of technological change, innovation, and social development; this situation causes new roles for universities, as well as forces them to change. At present, universities face very important expectations such as research and entrepreneurial activities by providing the industry–university cooperation along with education and training. In order to manage that transformation, it is seen that the universities across the world evolve to context of entrepreneurial university. Within this general framework, the main objective of this research is to determine where Turkish universities stand on the transformation of entrepreneurial university. In order to achieve this goal, 68 public universities’ strategic plans, which are thought to reflect the intentions for the future, were subjected to content analysis. The findings showed that the majority of universities in our country did not have entrepreneurial university features but they have strong intention and desire for a transformation in this direction.
Research on the Sustainable Development of Urban Housing Price Based on Transport Accessibility: A Case Study of Xi’an, China
Authors: Xue Chao , Ju Yongfeng , Li Shuguang , Zhou Qilong
Published: February 2020

The development of a real estate economy is beneficial to urban stability. A method of real estate price prediction based on transport accessibility is proposed. The method adds bus accessibility and metro accessibility into the model, which has higher prediction accuracy than the traditional model. Firstly, bus accessibility and metro accessibility are calculated according to the space syntax theory. Then, four models, the traditional hedonic price model (HPM) with transport accessibility, the traditional hedonic price model without transport accessibility, the random forest (RF) model with transport accessibility, and the random forest model without transport accessibility, are introduced. Finally, the four models are compared and analyzed in terms of precision and importance of index contributions. Taking Xi ’an, China, as an example, the experimental results show that the transport accessibility calculated based on space syntax can accurately represent the transport convenience in an urban space structure. Furthermore, it has a great influence on the contribution of indexes in the model. With the introduction of bus accessibility and metro accessibility, the accuracy of the real estate price prediction model is greatly improved.
Mobile Phone Data for Urban Climate Change Adaptation: Reviewing Applications, Opportunities and Key Challenges
Authors: Dujardin Sébastien , Jacques Damien , Steele Jessica , Linard Catherine
Published: February 2020

Climate change places cities at increasing risk and poses a serious challenge for adaptation. As a response, novel sources of data combined with data-driven logics and advanced spatial modelling techniques have the potential for transformative change in the role of information in urban planning. However, little practical guidance exists on the potential opportunities offered by mobile phone data for enhancing adaptive capacities in urban areas. Building upon a review of spatial studies mobilizing mobile phone data, this paper explores the opportunities offered by such digital information for providing spatially-explicit assessments of urban vulnerability, and shows the ways these can help developing more dynamic strategies and tools for urban planning and disaster risk management. Finally, building upon the limitations of mobile phone data analysis, it discusses the key urban governance challenges that need to be addressed for supporting the emergence of transformative change in current planning frameworks.
Analysis of China’s Manufacturing Industry Carbon Lock-In and Its Influencing Factors
Authors: Wang Xia , Zhang Lijun , Qin Yaochen , Zhang Jingfei
Published: February 2020

There are industry lock-in and regional lock-in phenomena in China’s manufacturing industry carbon emissions. However, the existing researches often focus on global carbon emissions, which is not adverse to finding the main problems of manufacturing industry carbon emissions. The biggest contributions of this study are the identification of the industry lock-in and regional lock-in of China’s manufacturing industry and the finding of the regional factors that affect the carbon lock-in of the manufacturing industry, which points out the direction for the low-carbon transformation of the local manufacturing industry. This paper is based on the IPCC (Intergovernmental Panel on Climate Change) carbon emissions coefficient method and energy consumption data from 2000 to 2016 to count the manufacturing industry carbon emissions of 30 provinces in China (except Hong Kong, Macao, Taiwan and Tibet). On this basis, the paper uses a spatial–temporal geographical weighted regression (GTWR) model to analysis the regional influencing factors of the high-carbon manufacturing industry. Results demonstrate that China’s high-carbon manufacturing industry mainly concentrates on the ferrous metal processing industry, non-metallic mineral manufacturing industry and other sectors. In addition, the carbon emissions of high-carbon manufacturing industries are mainly concentrated in Bohai Bay and the North China Plain. The industrial structure and economic scale are the main reasons for the regional carbon lock-in of the high-carbon manufacturing industry, and the strength of the lock-in has continued to increase. Resource endowment is a stable factor of carbon lock-in in high-carbon regions. Technological progress helps to unlock carbon, while foreign direct investment results in the enhancement of carbon regional lock-in. This study focuses on the regional factors of carbon lock-in in the manufacturing industry, hoping to provide decision support for the green development of China’s manufacturing industry.
Climatic Impacts on Basic Human Needs in the United States of America: A Panel Data Analysis
Authors: Ali Farhan , Huang Shaoan , Cheo Roland
Published: February 2020

This study empirically investigates the impact (overall, regional, and seasonal) of weather and climate extremes on basic human needs by employing a new poverty index, i.e., the Human Needs Index (HNI), in the United States of America. Detecting the contemporaneous correlations between errors, we apply second-generation unit root tests on monthly statewide panel data ranging from January 2004 to December 2018. The results obtained through cross-sectional time-series feasible generalized least square (i.e., FGLS) regression suggest that human necessities statistically and significantly correlate with a positive response to the weather extremes (cold, low precipitation) and with extreme events (drought, flood). However, the response is the opposite of that in the case of high precipitation. The seasonal variations in necessities indicate that there is a significant escalation of the needs between July and December (January is taken as the reference month), but, in February, they substantially shrink. Furthermore, the regional implications imply that, with the West of the US taken as the reference region, needs are significantly augmented in the Midwest; conversely, in the east and the south, they are significantly decreased. We also observe that some interaction effects, such as high precipitation and personal income as an interaction term, significantly, but negatively, correlate with HNI, indicating a 0.025% shared effect. Contrary to these findings, high precipitation, coupled with supplements to wages and salaries, shows a positive joint association of 0.274% with HNI. Besides, low precipitation, coupled with the unemployment rate, personal income, and flooding, shows an additional positive and significant mutual effect, while low precipitation has a negative effect on basic human needs when coupled with supplements to wages and salaries. The corresponding estimated interacting coefficients are 3.77, scoring 0.053%, 0.592%, and −0.67%, respectively.
An Integrated Decision-Making Approach for Cause-And-Effect Analysis of Sustainable Manufacturing Indicators
Authors: Bhanot Neeraj , Qaiser Fahham Hasan , Alkahtani Mohammed , Rehman Ateekh Ur
Published: February 2020

Sustainability is a growing concern for manufacturing companies, as they are major contributors to pollution and consume a substantial portion of the world´s natural resources. Sustainable manufacturing can reduce waste, conserve energy and increase resource efficiency. However, one of the main challenges facing manufacturing organisations to put sustainability into practice is the lack of understanding of the cause-and-effect relationships between critical indicators of sustainable manufacturing. To overcome this challenge, a novel, rigorous and integrated framework, composed of four quantitative methods, is proposed to analyse critical indicators of sustainable manufacturing. The analysis is based on responses from both academic and industry experts. These four methods including DEMATEL (decision-making trial and evaluation laboratory), the MMDE (maximum mean de-entropy) algorithm, ISM (interpretive structural modelling) and SEM (structural equation modelling) are uniquely integrated to present statistically validated relationships between critical indicators using information on varying degrees of relationship between them. The final cause-and-effect models for the respondent groups (i.e., researchers and industry experts) are further validated through gathering the viewpoints of a researcher and an industry practitioner for its robustness. The novelty of our research lies in: (1) proposing a novel and integrated rigorous quantitative framework combined with qualitative research method; (2) applying the proposed framework to analyse contextual relationships between critical indicators of implementing sustainability, in the manufacturing sector as a whole, which to the best of authors’ knowledge is the first of its kind; and (3) comparing and contrasting results of researchers and industry practitioners’ groups along with a check of their validation and robustness.
Study on Scheme of Outbound Railway Container Organization in Rail-Water Intermodal Transportation
Authors: Zhao Jiahao , Zhu Xiaoning , Wang Li
Published: February 2020

It has been proven that exploring how to achieve an efficient transportation system is a crucial component of every sustainable transportation study. Rail-water intermodal transportation is recognized as one of the future transportation methods for being efficient, economical and environmentally friendly. To improve the efficiency, reduce transportation costs and maximize the resource utilization of outbound intermodal container transportation, based on the relationship between the container central station and the port station in the actual problems, the organization of railway container transportation was studied. A multi-objective optimization model was established in order to minimize the total cost in the process of transportation, which means maximizing the resource utilization and ensuring it is environmentally friendly. Additionally, an improved genetic algorithm (GA) was developed to solve the model. The calculation results of the model are obtained by the simulation calculation. The comparison with the conventional fixed axis transportation organization method proves that the model and algorithm can reduce costs by up to 24.57%. The result also shows that the container transport organization should be tried to satisfy the direct loading and discharging condition of “train-ship,” meanwhile reducing the storage time at the high toll central station. In conclusion, the model and algorithm are feasible and effective. Due to the universality of the model, it can be easily used and generalized in or out of China.
Relations between National and Organisational Culture—Case Study
Authors: Szydło Joanna , Grześ-Bukłaho Justyna
Published: February 2020

Management science focuses on organisational culture. This reflection also applies to the broadly understood cultural context, as organisations operate in specific places and at specific times. As entrepreneurs enter foreign markets, there is a need to deepen their knowledge of cultural aspects, which results in the possibility to generate practical guidelines for shaping organisational culture in a different cultural environment. The article assumes that out of four elements conditioning organisational culture—type of environment, type of organisation, features of organisation and features of participants—two of them, type of environment and features of its participants, are the basic ways to organisational culture, by means of which the organisational culture is permeated by artefacts, values and basic assumptions, characteristic of national cultures. This permeation is exemplified by organisations from the same industry, having the same top management but functioning in different cultural environments. The study was conducted with the use of the multiple, exploratory and explanatory case study method. It consisted of three stages: The first stage included literature analyses (analyses of secondary data and legacy data), which aimed to determine the features of two cultures—Polish and Ukrainian. At the second stage, the authors conducted pilot studies among the representatives of the Polish and Ukrainian national culture. At the third stage, the organisational cultures of companies operating in the environment of the Polish and Ukrainian culture were surveyed. The research sample included 590 people. The authors based their studies on the Milton Rokeach Values Scale and an author’s tool, in which Hofstede’s concept of cultural dimensions. The statistical analysis involved the nonparametric Mann–Whitney U test.
Non-Parametric Model for Evaluating the Performance of Chinese Commercial Banks’ Product Innovation
Authors: Shao Luning , You Jianxin , Xu Tao , Shao Yilei
Published: February 2020

A thorough analysis of commercial banks’ product innovation performance is essential to promoting bank product innovation capabilities and sustainable development. In this paper, the product innovation performance of commercial banks is defined as the conversion efficiency of input and output factors. The credit risk of product innovation of banks is considered as an undesirable output and incorporated in the performance evaluation system. Depending on whether there is a synchronous relationship between innovation income and risks, a Fixed Correlation model (FCM) and a Variable Correlation model (VCM) are then constructed based on Data Envelopment Analysis (DEA) method for the evaluation of commercial bank product innovation performance. In addition, an output optimization model of the objective function is also constructed to estimate the target income of commercial banks’ product innovation in the FCM and VCM. Finally, the proposed model is applied to Chinese listed commercial banks for estimating the performance and target income of product innovation.
Biochars Originating from Different Biomass and Pyrolysis Process Reveal to Have Different Microbial Characterization: Implications for Practice
Authors: Żukiewicz-Sobczak Wioletta , Latawiec Agnieszka , Sobczak Paweł , Strassburg Bernardo , Plewik Dorota , Tokarska-Rodak Małgorzata
Published: February 2020

Sustainable technologies are increasingly promoted in various production areas. Protection of natural resources, as well as rational waste management, may lead to better optimization of technologies. Biochar, a product of pyrolysis of organic residues has found wide applications in waste management, agriculture, energy and construction industry. In the present study biochar samples produced in Poland and in Brazil were analysed for microbial content using three substrates: Plate Count Agar, Malt Agar, and Potato Agar. Both qualitative and quantitative measurements were done. Microscopic analysis of the biochar structure was also performed. We found that microbial cultures in both biochars represented a wide range of biodiversity of microorganisms genera and species. We demonstrate that the biochar samples differ depending on the botanical origin as well as on the production technology. Structure of the tested samples also varied depending on the botanical origin. Sample 1-PL (pine) was characterised by a compact and regular structure, while sample 2-PL (oak) showed porous and irregular structure. Sample from Brazil (1-BR) showed a more delicate structure than Polish biochars. Obtained properties may suggest a range of implications for practice.
Roundabout Entry Capacity Calculation—A Case Study Based on Roundabouts in Tokyo, Japan, and Tokyo Surroundings
Authors: Macioszek Elżbieta
Published: February 2020

The article presents the calculation of roundabout entry capacity as a case study based on roundabouts located in Tokyo, Japan, and Tokyo surroundings. The analysis was conducted as part of the project entitled “Analysis of the applicability of the author’s method of roundabouts entry capacity calculation developed for the conditions prevailing in Poland to the conditions prevailing at roundabouts in Tokyo (Japan) and in the Tokyo surroundings”. The main aim and the research question was whether the author’s model of roundabouts entry capacity calculation constructed for the conditions prevailing in Poland after calibration is suitable to calculate roundabout entry capacity of roundabouts located in Tokyo and in the Tokyo surroundings. In order to perform the calibration in 2019, measurements were taken at the single-lane roundabouts located in Tokyo and Tokyo surroundings. The model calibration revealed that it is possible to evaluate the entry capacity of roundabouts located in Tokyo and in Tokyo surroundings using the author’s model.
Joint Decision on Pricing and Ordering for Omnichannel BOPS Retailers: Considering Online Returns
Authors: Liu Jinrong , Xu Qi
Published: February 2020

Uncertainty in demand and high online return rates tend to generate a large inventory backlog after a hot selling season. Some well-known companies such as Burberry and H&M choose to burn these backlogs, which is very unfavorable to the sustainable development of enterprises and society. The omnichannel BOPS (Buy Online and Pickup in Store) provides consumers with a new and convenient choice of purchasing channels. Considering the probability of online return, we build expected profit models for retailers before and after opening a BOPS channel based on consumer surplus and purchase ratio via an online channel, store channel, and BOPS channel. Then, we prove the existence of optimal solutions and obtain the joint optimization decision on pricing and ordering. The results show that, under certain conditions, when the proportion of online channel buyers increases, the retailers’ optimal decision before opening a BOPS channel is to reduce the price and increase the order quantity, and the retailers’ optimal decision after opening a BOPS channel is to simultaneously reduce the price and the order quantity. Whether or not a BOPS channel is opened, when the purchase proportion of store channel increases, the optimal decision of retailers is to increase the price and order quantity at the same time. Furthermore, when the online return rate, the cost of online shopping, the inconvenient cost of the store channel, and the inconvenience of the BOPS channel relative to store channel increase, the optimal decision of retailers is to simultaneously reduce the price and order quantity. Moreover, when the maximum psychological value of the product increases, the optimal decision is to reduce the order quantity while increasing the price. In addition, the opening of a BOPS channel increases optimal price, optimal order quantity, and maximum expected profit.
Correction: Capocchi, A., et al. Overtourism: A Literature Review to Assess Implications and Future Perspectives. Sustainability 2019, 11, 3303
Authors: Capocchi Alessandro , Vallone Cinzia , Pierotti Mariarita , Amaduzzi Andrea
Published: February 2020

The authors would like to make the following corrections to the published paper [...]
Can Elements of Intellectual Capital Improve Business Sustainability?—The Perspective of Managers of SMEs in Poland
Authors: Gross-Gołacka Elwira , Kusterka-Jefmańska Marta , Jefmański Bartłomiej
Published: February 2020

Many organizations choose business sustainability to meet environmental, social, and financial demands to ensure responsible and long-term success. In order to achieve this, enterprises have to fully and optimally apply their resources. Intellectual capital is one of their most important resources creating market value and reinforcing sustainable competitive advantages. The main goal of the paper is to indicate which elements of the intellectual capital of small and medium-sized enterprises in Poland have the greatest impact on their sustainable development in the opinions of managers. The study took into account 1041 economic entities. Managers of small and medium enterprises operating in Poland have been asked to assess the elements of intellectual capital. The paper utilizes a new approach to the importance assessment of the impact of each characteristic on business sustainability. It is based on intuitionistic fuzzy sets. The proposed method is especially useful when variables are measured on an ordinal scale. In accordance with the classical theory of measurement, it does not allow the majority of arithmetic calculations to be performed. Based on the results of the research it has been determined that the most important factors are those which constitute human capital. Moreover, the observation has been made that there is a high degree of coherence of opinions expressed by managers of small and medium enterprises. The results of the research can be applied by both managers of enterprises in managing intellectual capital and employees of companies, by increasing their awareness of the topic of the influence of intellectual capital on business sustainability.
The Use of Fiber-Reinforced Polymers in Wildlife Crossing Infrastructure
Authors: Bell Matthew , Fick Damon , Ament Rob , Lister Nina-Marie
Published: February 2020

The proven effectiveness of highway crossing infrastructure to mitigate wildlife-vehicle collisions with large animals has made it a preferred method for increasing motorist and animal safety along road networks around the world. The crossing structures also provide safe passage for small- and medium-sized wildlife. Current methods to build these structures use concrete and steel, which often result in high costs due to the long duration of construction and the heavy machinery required to assemble the materials. Recently, engineers and architects are finding new applications of fiber-reinforced polymer (FRP) composites, due to their high strength-to-weight ratio and low life-cycle costs. This material is better suited to withstand environmental elements and the static and dynamic loads required of wildlife infrastructure. Although carbon and glass fibers along with new synthetic resins are most commonly used, current research suggests an increasing incorporation and use of bio-based and recycled materials. Since FRP bridges are corrosion resistant and hold their structural properties over time, owners of the bridge can benefit by reducing costly and time-consuming maintenance over its lifetime. Adapting FRP bridges for use as wildlife crossing structures can contribute to the long-term goals of improving motorist and passenger safety, conserving wildlife and increasing cost efficiency, while at the same time reducing plastics in landfills.
Compaction Process as a Concept of Press-Cake Production from Organic Waste
Authors: Sobczak Paweł , Zawiślak Kazimierz , Starek Agnieszka , Żukiewicz-Sobczak Wioletta , Sagan Agnieszka , Zdybel Beata , Andrejko Dariusz
Published: February 2020

As a result of agri-food production large amounts of organic waste are created in the form of press cakes. Until now, they were mainly used as animal fodder and also utilized for biofuels production. No other way usage has been found yet. A large quantity of these by-products is usually discarded in open areas, which leads to potentially serious environmental problems. The rich chemical composition of these waste products makes it possible to use them for producing other food products valuable for consumers. Based on the test results obtained, it can be stated that moisture content of press cakes is varied and depends on the input material. However, appropriately composed mixtures of various waste products and a properly conducted compaction process allows for obtaining a new product with functional properties. In addition, application of honey powder and starch tablet coating creates a product of resistant to compression and cutting. Results seem to have commercial importance, as they demonstrate that properly processed by-products can be used in food preparations as dietary supplements.
Can Stock Investor Sentiment Be Contagious in China?
Authors: Su Chi-Wei , Cai Xu-Yu , Tao Ran
Published: February 2020

This paper explores the impact of investor sentiment on financial markets in China by taking the quantile causality test. We find that government bond markets, gold markets, and foreign exchange markets are affected by stock investor sentiment, except for in the corporate bond market. In extreme situations, such as excessively optimistic or pessimistic sentiment, these markets will become more vulnerable to suffering from drastic fluctuations. On the contrary, the market return in government bonds, corporate bonds, and foreign exchange also has an influence on stock investor sentiment. Moreover, these links show various asymmetry due to the heterogeneity of different financial markets. Our results are consistent with the noise trader model, which shows the impact of investor sentiment on market returns. Hence, the authorities can sustain the stabilization of financial markets by reducing information asymmetry, guiding the rational sentiment of investors, and increasing effective regulations.
Optimization of Insulation Thickness of External Walls of Residential Buildings in Hot Summer and Cold Winter Zone of China
Authors: Liu Xiaojun , Chen Xin , Shahrestani Mehdi
Published: February 2020

It is important to reduce primary energy consumption and greenhouse gas emissions associated with residential buildings in the hot summer and cold winter (HSCW) zone of China. Changing the insulation thickness of the external walls of residential buildings (ITEWB) is regarded as an effective way to manage such problems within a budget. This paper aims at developing an innovative way to select the optimal insulation thickness of external walls for residential buildings (OTWRB) in the HSCW zone of China, considering economic, energy and greenhouse gas emissions issues associated with the ITEWB. Four different cities and two different operation modes of the air conditioners (continuous and intermittent) are considered in this study. To explain the selection process, typical hypothetical buildings are simulated in Wuhan, Changsha, Hangzhou and Chengdu. Expanded polystyrene is chosen as the material of the insulation layer while split air conditioners are selected as the equipment for space heating and cooling. Integrated Environmental Solutions-Virtual Environment is used for the dynamic operational energy consumption of buildings. Life cycle cost method is adopted to calculate the economic impact of ITEWB on building performance. The Chinese life cycle database is used to quantize the impacts of ITEWB on building performance in the aspect of energy and greenhouse gas emissions based on the life cycle theory. The most appreciated insulation thickness is chosen from the thickness range of 30 mm to 150 mm. We find that for continuous operation mode of air conditioners in Wuhan, the optimal economic insulation thickness is 70 mm, whereas when considering only energy and environmental aspects, the OTWRB is 150 mm. These are all larger than the current insulation thickness which is 30 mm. When the weighting efficiencies of the economy, energy, and greenhouse gas emissions are different, the OTWRB varies from 70 mm to 150 mm for continuous operation mode. The different cities have little influence on the OTWRB while the different operation modes of air conditioners have some influence on the OTWRB.
System Dynamics Model for the Evolutionary Behaviour of Government Enterprises and Consumers in China’s New Energy Vehicle Market
Authors: Sun Hongxia , Wan Yao , Lv Huirong
Published: February 2020

Exhaust pollution and energy crises are worsening worldwide. China has become the largest motor vehicle producer; thus, promoting the use of new energy vehicles (NEVs) in China has important practical significance. In this paper, considering the limited rationality of governments, NEV enterprises and consumers, we study the subsidy policy of the China NEV market using the evolutionary game and system dynamics (SD) methods. First, a tripartite evolutionary game model is developed and the replicator dynamics equations and Jacobian matrix are obtained. A SD simulation of the model was conducted to further clarify the impact of the initial market proportion and three variables used in the model. The results show that the initial market proportion affects the evolution speed but does not affect the evolution result when the three group players all choose a mixed strategy. For governments, they should not hastily cancel price subsidies provided to consumers; rather, they should dynamically adjust the rate of the subsidy decrease and increase the consumers’ extra cost for purchasing fuel vehicles (FVs). NEV enterprises should appropriately increase their investments in the research and development (R&D) of NEVs.