bluuebunny/crossref_metadata_2025 huggingface dataset:
Can Local Government’s Attention Allocated to Green Innovation Improve the Green Innovation Efficiency?—Evidence from China
Authors: Xu Mengzhi , Li Jixia , Ping Zeyu , Zhang Qianming , Liu Tengfei , Zhang Can , Wang Huachun
Published: September 2022

Green innovation is an important way to integrate China’s innovation-driven strategy with sustainable development strategy. Adopting the attention-based view in policy implementation analysis, this paper constructs an analytical framework of how the local government’s attention paid to green innovation (LGA-GI) affects green innovation efficiency (GIE). Using the panel data of 30 provincial administrative regions in China from 2009 to 2020, we describe the temporal and spatial characteristics of LGA-GI, empirically test the impact of LGA-GI on GIE through two-way fixed effects models, and then compare the effects in the three stages of green innovation. The major findings are as follows: (1) the LGA-GI in China from 2009 to 2020 shows an upward trend with mild fluctuations, and peaks three times in 2012, 2016, and 2018. The spatial distribution of LGA-GI has changed from a pattern of “low in the middle” (low LGA-GI in the central region) to “continuous highs with scattered lows”. (2) LGA-GI has a significant positive effect on the overall GIE, but the effect is concentrated in the stage of knowledge absorption and commercialization, rather than in the stage of knowledge innovation. The implication of these results is that local governments need to allocate more attention to green innovation and maintain its continuity, and governments at all levels should distribute policy implementation resources based on the characteristics of different green innovation stages.
Evaluation of Sustainability and Accessibility Strategies in Vocational Education Training
Authors: Kibrit Gunay , Altinay Fahriye , Dagli Gokmen , Altinay Zehra , Sharma Ramesh , Shadiev Rustam , Tlili Ahmed , Celebi Menil , Jemni Mohamed , Bastas Meryem
Published: September 2022

Sustainability plays a significant role in all levels of education. Paying attention to strategies for accessibility in educational levels is highly needed. This research aims to evaluate accessibility strategies in vocational education training (VET). It is significant to put efforts into VET to raise awareness on accessibility for the societal benefits of inclusivity and digital transformation in services for all. While preparing the educational context for digital education, accessibility strategies are essential for establishing the future of education. The study adopted the qualitative research approach and used semi-structured interviews and public reports for data collection. The sample of the study comprised the staff working at the management/administrative level in VET and at the ministry of education. Results indicated that suitable strategies are crucial for sustainability and accessibility in VET. Active citizenship for the global world requires understanding the practical sides of accessibility. In this respect, this study recommends vocational training activities based on sustainability and accessibility. To set sustainable strategies in VET, defining the proper roles and responsibilities of teachers, trainers, and staff are essential. The administrative authority, protection of school fixtures and procedures, resolving financial issues, overcoming obstacles such as quality activities, and the professional inadequacy of teacher training are basic steps for developing VET.
Application of the Multicriteria Method Seeking to Assess Concentration, and Its Effects on Competition in the Manufacturing Sector
Authors: Peleckis Kęstutis
Published: September 2022

(1) Background: comprehending market concentration and its implications is one of the most crucial aspects of studying and evaluating competition issues, and this is gaining increasing attention in companies’ sustainability research. Sustainability in the manufacturing industry refers to a company’s ability to continue operations over the long term. A manufacturing business must be able to ensure that it will have appropriate resources, labor, and consumers for its products well into the distant future in order to remain economically viable. At this time, market competition concentration influence is significant. The purpose of this article is to assess the viability of measuring the HHI in the implementation of business strategies in order to prevent market distortions in the manufacturing industry. (2) Methods: the distinguishing aspect of this paper is that it describes the capabilities of the fuzzy VIKOR approach for evaluating the HHI in order to avoid market distortion by studying the most important economic characteristics of the manufacturing market. (3) Results: the contribution of this study is the compilation of the HHI evaluation system in the manufacturing sector, with the goal of identifying the market conditions of corporate entities and facilitating the attainment of long-term market competitiveness. (4) Conclusions: a comparison of the multicriteria techniques approach and probability theories reveals that the industrial sector’s HHI-based performance may be measured. It is more adaptable to the organization’s actual decision-making procedure. The operation of manufacturing businesses in the market with the least amount of distortion can be significant for enhancing competitiveness not only at the national level, but also at the global level, particularly by enhancing reputation, reducing costs, responding to market demands, and adapting to market demands. The findings will be relevant for policymakers tasked with controlling market inefficiencies and fostering sustainable economic initiatives.
The Impact of Factor Market Distortion on the Efficiency of Technological Innovation: A Spatial Analysis
Authors: Lu Qian , Hua Chao , Miao Jianjun
Published: September 2022

The growth of scientific and technological innovation in China is facing a bottleneck under the influence of domestic and foreign environments. The economic internal circulation policy of China may explore new driving forces for innovation from the perspective of optimizing the efficiency of production factor allocation. This research applies the provincial data from 2001 to 2017 to empirically investigate the spatial effects of factor market distortions on the efficiency of technological innovation. The DEA (Data envelopment analysis) model with variable returns to scale is exploited to measure the efficiency of technological innovation. The production function approach can be harnessed to measure labor market distortions and capital market distortions. The spatial correlation test results and the spatial econometric results regressed with three spatial weight matrices draw the following conclusions: (1) No matter how the spatial connection is established, the efficiency of the scientific and technological innovation in China shows a strong positive spatial correlation. (2) Labor market distortion and capital market distortion lead to low factor allocation efficiency, which inhibits the improvement of scientific and technological innovation efficiency. (3) When considering inter-regional economic connections, the inhibitory effect of factor market distortions on the efficiency of technological innovation shows spillover effects on surrounding areas. (4) Human capital and advanced industrial structure are conducive to the improvement of scientific and technological innovation efficiency. Optimizing the efficiency of factor market allocation can become a significant path for China to release new room for improvement in scientific and technological innovation.
Comprehensive Sustainable Assessment and Prioritization of Different Railway Projects Based on a Hybrid MCDM Model
Authors: Liu Ziquan , Zhang Yanchun
Published: September 2022

Railways play an essential role in China’s development, driving economic and social progress while negatively impacting the environment. Assessing different railway projects’ sustainability can maximize the positive effects and minimize the side effects. This article aims to propose a methodological framework containing a series of indicators to evaluate the sustainability of four railway projects in China. A hybrid MCDM (multi-criteria decision-making) method was adopted to analyze the interrelationships among the dimensions and indicators and then present the projects’ differences. The weights of each indicator in the research were studied according to experts’ advice, and the same indicators were of different importance when placed in different research environments, such as developing and developed countries. This helps to establish a developing-country-centered evaluation indicator system. After comparison, it can be seen that Railway A is the best in terms of sustainability, mainly because it is in an economically developed region of China that is rich in construction resources, and is less constrained by natural conditions than other projects. The results show that although environmental sustainability has been improved over the past few years, its low level of influence still urges people to invest more attention and take more actions with significant effects in this respect. Furthermore, railways show significant differences in economic sustainability, while the differences in social sustainability have reduced considerably. This study provides further insight into the investigated measures and proposes recommendations for improving railway transport in China.
Redefining the Concept of Local Wisdom-Based CSR and Its Practice
Authors: Susanto Yulius Kurnia , Rudyanto Astrid , Rahayuningsih Deasy Ariyanti
Published: September 2022

Local wisdom is very important for corporate social responsibility (CSR) activities which benefit local communities, especially in the case of companies in Indonesia; however, these companies have not yet understood the concept and examples of local wisdom-based CSR activities. This research aims to formulate the concept of such CSR and its practice in Indonesia. To fulfil its objective, the study makes a systematic review of 74 local wisdom-based, CSR articles with an Indonesian background based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Google Scholar, ScienceDirect, Scopus, and Emerald Insight were used as the main databases to find related articles. In accordance with the concept of local wisdom-based CSR, the research focuses on community empowerment activities and how local wisdom is a key part of these. Local wisdom-based CSR activities are categorised into three types: CSR based on local wisdom, CSR that considers local wisdom, and CSR that uses local wisdom. The findings will aid companies in planning and implementing such activities. Through the research gaps identified, the study will also facilitate future researchers in conducting local wisdom-based CSR research.
Relationships between Organic Matter and Bulk Density in Amazonian Peatland Soils
Authors: Crnobrna Brian , Llanqui Irbin B. , Cardenas Anthony Diaz , Panduro Pisco Grober
Published: September 2022

The carbon pool of Amazonian peatlands is immense and mediates critical ecological functions. As peatlands are dynamic, similar to other wetland systems, modeling of the relationship between organic matter and dry bulk density allows the estimation of the accumulation and/or decomposition of peats. We tested several models: the generalized linear mixed logarithmic, to test depth, and the non-linear logarithmic and power-law models. There is a negative power-law relationship between organic percentage and dry bulk density using peat samples collected in Amazonian peatlands (n = 80). This model is supported by the coefficient of determination (R2) estimates garnered from model fitting, while Akaike Information Criterion (AIC) values further support parsimonious models. We also ran trials of the ideal mixing model with two parameters: k1 representing organic density and k2 representing mineral. The mixture of organic and inorganic components generally falls in accordance with the theory that decreasing k1 trends with increasing k2, although k2 values for these peat samples are negative. The organic k1 coefficient allows us to identify two sites out of the nine investigated, which can be prioritized for their carbon dynamics. The presence of high-density samples, which were not related to depth, indicates clay intrusion in these peatlands. We hope the modeling can explain processes significant to these globally important carbon-rich ecosystems.
Chronological Progress of Blockchain in Science, Technology, Engineering and Math (STEM): A Systematic Analysis for Emerging Future Directions
Authors: Dziatkovskii Anton , Hryneuski Uladzimir , Krylova Alexandra , Loy Adrian Chun Minh
Published: September 2022

The emergence of Industry 4.0 has awoken the adoption of blockchain as a key factor to enhance the industrial supply chain across the globe, enabling cost-effective and fast-paced delivery of products and services, ownership of products with privacy, and high security as well as traceability. This new digital horizon is underpinning the future direction of humankind, aligning with the Sustainable Development Goal themes of Good Health and Well-being (SDG3) and Sustainable Cities and Communities (SDG 11). Thus, the main objective of this paper is to elucidate the adoption of blockchain technology in Science, Technology, Engineering, and Math (STEM) disciplines by determining of the key academic research players and the evolution of blockchain in different fields. It begins by clarifying the definition of these concepts, followed by a discussion regarding the chronological progress of blockchain over time, an evaluation of the adoption of blockchain technologies in different key research areas, and lastly, providing comments on several directions to guide practitioners in developing a sustainable global blockchain roadmap in education science.
University Teachers’ Change Readiness to Implement Education for Sustainable Development through Participation in a PBL-Based PD Program
Authors: Du Xiangyun , Guerra Aida , Nørgaard Bente , Chaaban Youmen , Lundberg Adrian , Lyngdorf Niels Erik Ruan
Published: September 2022

This study investigated university teachers’ perspectives on their change readiness to implement education for sustainable development (ESD) through their participation in a problem-based learning (PBL) pedagogical development (PD) program. Theoretically, the study connected a systems-thinking approach to change readiness literature and proposed a four-dimensional conceptual framework, including intrapersonal, relational, and environmental dimensions. Q methodology was adopted to collect and analyze data both qualitatively and quantitatively. Four significantly different viewpoints emerged among the 25 participants regarding what they considered most important for their change readiness towards ESD, namely (1) improvement of teaching and learning performance, (2) personal learning and conviction, (3) applying PD learning to practice, and (4) student learning engagement and professional practice. Revealing a complex and interrelated connection between the four dimensions of change readiness, these results also observed university teachers’ expression of learning gains and engagement in prospective change. Nevertheless, such change readiness was mainly within their micro teaching practice environment, with little anticipation of commitment to a wider institutional scale of change. Such restrictions on their change readiness were attributed to constrained institutional conditions and supports for long-term improvement. Results of the study suggested that it is essential to facilitate both individual awareness and efforts, as well as institutional readiness for the goal of implementing ESD in higher education (HE). In this regard, both systemic and systematic professional learning activities are recommended.
Visitor’s Motivational Framework and Wine Routes’ Contribution to Sustainable Agriculture and Tourism
Authors: Ingrassia Marzia , Altamore Luca , Bellia Claudio , Grasso Giuseppe Lo , Silva Paula , Bacarella Simona , Columba Pietro , Chironi Stefania
Published: September 2022

Wine Routes develop inside the larger context of wine tourism (WT), which is increasingly important for rural communities. Italy is one of the most important countries in the world for wine production and tourism. Sicily is one of the leading regions in Italy for wine production and wine tourists. This study focuses on the Sicilian wine routes (SWRs) and gives an excursus of their development during the last ten years, highlighting strengths and weaknesses. Moreover, the study wants to make an attempt to bridge the existing gap in the literature and highlight the nature and extent of the contribution of the SWR to the development of the WT ‘product’ from the perspective of the increasingly booming sustainable–rural tourism. Face-to-face interviews were conducted along the SWRs with 283 wine tourists, 65 wine enterprises, and eight expert stakeholders. The motivations for tourists to visit the first time and their intention to return were investigated by the explorative factor analysis. Moreover, the wine tourist profile was highlighted. Findings outline some specific features of the general experience economy model where visitors’ emotional involvement and local cooperation appear crucial for the integrated territorial development of the backward rural areas of wine regions in different parts of the world. Managerial implications of findings are discussed.
Development Strategies and Policy Trends of the Next-Generation Vehicles Battery: Focusing on the International Comparison of China, Japan and South Korea
Authors: Chen Hongxia , Yu Jeongsoo , Liu Xiaoyue
Published: September 2022

In recent years, with the rapid spread of next-generation vehicles (NGVs), China, Japan, and South Korea (CJK) have been leading the development of vehicle batteries. As development strategies and policy trends of NGVs battery are changing in CJK, the competition among battery manufacturers is expected to become more intense in the future. However, there are few international comparative studies on the development policy, production, and sales of NGV batteries in CJK. Based on the review and investigation of the technical development, policy trends, and the world market share of vehicle batteries in CJK, this study spots trends in the features of development strategies and policies of NGV batteries in CJK, and further inspects the interrelationships in these three countries comprehensively. The result shows that CJK have different focuses on the development of NGVs battery technology and policymaking. It is predicted that in the future competition of the vehicle battery market, Japan is likely to be far surpassed by China and South Korea. Based on grasping the development strategies and policy trends of vehicle batteries in CJK, this study plays an important role in the academic research and policymaking of the production, sales, regeneration, and resource recycling of the NGVs and vehicle batteries.
Business Models and Sustainability Plans in the FinTech, InsurTech, and PropTech Industry: Evidence from Spain
Authors: Bittini Javier Sada , Rambaud Salvador Cruz , Pascual Joaquín López , Moro-Visconti Roberto
Published: September 2022

After describing the main features of the Spanish companies belonging to the FinTech, InsurTech, and PropTech sectors, the main objective of this study is to analyze whether their B2B/B2C business models are related to the existence of sustainability plans. Specifically, this paper analyzes whether the existence of a sustainability department is a determining factor for the business model adopted by the Spanish FinTechs, InsurTechs, and PropTechs. By using the multinomial logit regression, other factors such as the current closeness of companies to the sustainable development goals (SDGs), the sensitivity to domestic and European FinTech/InsurTech regulations, and the perception of FinTechs about such European regulations are debated before conclusions are drawn for a future research agenda.
Lane Optimization of Highway Reconstruction and Expansion Work Zone Considering Carbon Dioxide Emission Factors
Authors: Sun Chi , Hong Weiqi , Li Hao , Zhou Chenjing
Published: September 2022

During the highway reconstruction and expansion, some lanes are often closed on the construction side to ensure that the construction is carried out normally. The presence of the work zone increases the traffic pressure on the construction side of the highway, causing traffic congestion, increased CO2 emissions from motor vehicles, and increasing environmental pollution. The bi-level programming model was developed based on the objective of minimizing the travel time and total CO2 emissions of the system so as to solve it using a quantum particle swarm algorithm with high convergence speed and high intelligence to form the lane optimization scheme for the three forms of reclosing and expanding six-lane highways in both directions. The results show that reasonable use of opposite non-construction lanes in the work zone of a partially closed highway expansion can reduce the total system travel cost, alleviate traffic congestion, reduce CO2 emissions, and contribute to the sustainable development of transportation, as well as the environment.
Subjective Wellbeing and Work Performance among Teachers in Hong Kong during the COVID-19 Pandemic: Does Autonomy Support Moderate Their Relationship?
Authors: Wong Kapo , Man Siushing , Chan Alan H. S.
Published: September 2022

(1) Background: A higher level of subjective wellbeing is often assumed to have a positive effect on the performance of workers. However, this relationship has seldom been studied extensively among teachers shifting from face-to-face teaching to online teaching. Thus, this study provided quantitative evidence regarding the effect of subjective wellbeing on work performance among male and female teachers during the outbreak of a pandemic. (2) Methods: We examined the subjective wellbeing of teachers from three perspectives, namely workload, organisational support, and interaction with students. Furthermore, we tested whether autonomy support affected the association between subjective wellbeing and work performance, and a comparison between male and female teachers was drawn. (3) Results: The findings suggested that the student interaction wellbeing of female teachers positively and significantly affected their work performance (b = 1.19, t = 4.28, p < 0.001). Moreover, autonomy support tended to amplify the positive effect of organisational wellbeing for both male and female teachers (males’ OWB: b = 0.25, t = 2.44, p < 0.05; females’ OWB: b = 0.31, t = 0.09, p < 0.05). (4) Conclusions: This study provides useful information for educational management when reviewing teacher performance and wellbeing during the pandemic.
An Analysis of Irish Dairy Farmers’ Participation in the Bioeconomy: Exploring Power and Knowledge Dynamics in a Multi-actor EIP-AGRI Operational Group
Authors: Harrahill Kieran , Macken-Walsh Áine , O’Neill Eoin , Lennon Mick
Published: September 2022

The European Commission’s European Innovation Partnership for Agricultural Productivity and Sustainability (EIP-AGRI), part of the European Commission’s Europe 2020 strategy, aims to ‘achieve more and better from less’ by bringing together a diversity of innovation actors to harness their combined knowledges to creatively achieve sustainability goals. The creation and novel use of biomaterials remains both a significant challenge and opportunity and bringing together all the relevant actors from primary production through to refinement and processing is anticipated to make progress in bringing into practice pilot operational approaches on the ground. For the bioeconomy, a nascent sector, it is a significant challenge for it to become established; grow; innovate and engage all the relevant actors. It has been noted internationally that primary producers, among other cohorts, remain marginalised from bioeconomy activities, which significantly compromises how inclusive and innovative the bioeconomy is likely to be henceforth. In this context, an interesting case study is the Biorefinery Glas Operational Group (OG), located in Ireland. The OG was a ‘small-scale-farmer-led green biorefinery supporting farmer diversification into the circular bioeconomy’. The central research question of this paper concerns the dynamics of farmers’ participation in the OG, focusing specifically on how their knowledges shaped the operation of the OG and bioeconomy activities within it. This paper presents a social network graph illustrating the diverse actors involved in the OG, their relative degrees of connectedness to each other, and an overview of the differing levels of actors’ influence in the network. Interrogating the roles of different actors further, a lens of power theory is used to explore how farmers’ knowledges were used in combination with others’ knowledges to shape the development of the OG and innovation within it. The overall conclusion from an analysis of interviews conducted with farmer and non-farmer participants in the OG is that while farmers were highly connected with other members of the OG and viewed their involvement in the OG positively, the level of influence they had in decision-making processes in some areas of the OG was relatively limited. Different types of members of the OG tended to work in a relatively segmented way, with farmers contributing as input suppliers and on the practical side at the farm level, while other members of the OG such as scientists worked on more technical aspects. This paper concludes by providing conclusions and lessons of relevance to innovation-brokers and practitioners, and for the operation of OGs involving farmers elsewhere.
Performance Evaluation of Lane Detection and Tracking Algorithm Based on Learning-Based Approach for Autonomous Vehicle
Authors: Waykole Swapnil , Shiwakoti Nirajan , Stasinopoulos Peter
Published: September 2022

Disruptive technology, especially autonomous vehicles, is predicted to provide higher safety and reduce road traffic emissions. Lane detection and tracking are critical building blocks for developing autonomous or intelligent vehicles. This study presents a lane detecting algorithm for autonomous vehicles on different road pavements (structured and unstructured roads) to overcome challenges such as the low detection accuracy of lane detection and tracking. First, datasets for performance evaluation were created using an interpolation method. Second, a learning-based approach was used to create an algorithm using the steering angle, yaw angle, and sideslip angle as inputs for the adaptive controller. Finally, simulation tests for the lane recognition method were carried out by utilising a road driving video in Melbourne, Australia, and the BDD100K dataset created by the Berkeley DeepDrive Industrial Consortium. The mean detection accuracy ranges from 97% to 99%, and the detection time ranges from 20 to 22 ms under various road conditions with our proposed algorithm. This lane detection algorithm outperformed conventional techniques in terms of accuracy and processing time, as well as efficiency in lane detection and overcoming road interferences. The proposed algorithm will contribute to advancing the lane detection and tracking of intelligent-vehicle driving assistance and help further improve intelligent vehicle driving safety.
Quantifying the Relation between Activity Pattern Complexity and Car Use Using a Partial Least Square Structural Equation Model
Authors: Sprumont François , Scheffer Ariane , Caruso Geoffrey , Cornelis Eric , Viti Francesco
Published: September 2022

This paper studies the relationship between activity pattern complexity and car use using two multi-day surveys involving the same participants but collected just before and about one year after they relocated their workplace. Measurable characteristics related to two latent variables, namely activity pattern complexity, or trip chaining (e.g., number of activities done within and outside the home–work tour), and to car use (e.g., usage rate, distance travelled by car) were selected. The study shows that the methodology adopted, partial least square structural equation modelling, quantifies the relation between the two variables, and is robust towards changes in important contextual characteristics of the individuals, namely workplace location. The findings indicate that the number of activities chained to commuting travels strongly impact mode choice and, in particular, car use. The paper also shows that chaining non-work-related activities has a stronger impact on car use. The results of this study suggest that planning and management solutions aimed at reducing car use, but focusing only on the commuting trip while neglecting the impact of other daily activities, may be less effective than expected.
Social Insurance Burden and Corporate Environmental Performance: Evidence from China
Authors: Wang Nai-Chun , Si Deng-Kui , Dong Chun-Feng
Published: September 2022

Appropriate social insurance contribution rates are crucial for the green development of firms. While the existing literature lacks an exploration of the relationship between social insurance policy and corporate environmental performance, this paper empirically examines the impact of social insurance contributions on corporate environmental performance using unbalanced panel data of 2947 A-share listed firms in China from 2008 to 2019. Our study shows that there is an inverted-U-shaped relationship between the social insurance burden and firms’ environmental performance, and the result remains robust after changing the measurements of core variables, replacing estimation method, and controlling endogenous problems. The inverted-U-shaped relationship is more pronounced in non-heavily polluting industries, non-labor-intensive industries, and non-state-owned enterprises (non-SOEs). In addition, corporate innovation and digital transformation can positively moderate the inverted-U-shaped effect of social insurance burden on corporate environmental performance, and firms should grasp the “double-edged sword” effect of innovation and digital transformation in different periods of social insurance burden. Further analysis reveals that a reasonable social insurance burden can enhance firm value and risk taking through improving firms’ environmental performance, whereas an excessive social insurance burden is not conducive to the improvement of firms’ environmental performance, internal value creation, and risk taking.
An Efficient MPPT Technique-Based Single-Stage Incremental Conductance for Integrated PV Systems Considering Flyback Central-Type PV Inverter
Authors: Ali Ahmed Ismail M. , Alaas Zuhair Muhammed , Sayed Mahmoud A. , Almalaq Abdulaziz , Farah Anouar , Mohamed Mohamed A.
Published: September 2022

Central-type photovoltaic (PV) inverters are used in most large-scale standalone and grid-tied PV applications due to the inverter’s high efficiency and low-cost per kW generated. The perturbation and observation (P&O) and incremental conductance (IncCond) have become the most common techniques for maximum power point tracking (MPPT) strategies of PV/wind generation systems. Typically, the MPPT technique is applied in a two-stage operation; the first stage tracks the MPP and boosts the PV voltage to a certain level that complies with grid voltage, whereas the second stage represents the inversion stage that ties the PV system to the grid. Therefore, these common configurations increase the system size and cost as well as reduce its overall footprint. As a result, this paper applies two IncCond MPPT techniques on a proposed single-stage three-phase differential-flyback inverter (DFI). In addition, the three-phase DFI is analyzed for grid current negative-sequence harmonic compensation (NSHC). The proposed system efficiently provides a MPPT of the PV system and voltage boosting property of the DC-AC inverter in a single-stage operation. Moreover, the MPPT technique has been applied through the DFI using the conventional and modified IncCond tracking strategies. Furthermore, the system is validated for the grid-tied operation with the negative-sequence harmonic compensation strategy using computer-based simulation and is tested under uniform, step-change, as well as fast-changing irradiance profiles. The average efficiencies of the proposed system, considering the conventional and modified IncCond MPPT techniques, are 94.16% and 96.4% with tracking responses of 0.062 and 0.035 s and maximum overshoot of 46.15% and 15.38%, respectively.
An Empirical Framework to Sustain Value Generation with Project Risk Management: A Case Study in the IT Consulting Sector
Authors: Testorelli Raffaele , Verbano Chiara
Published: September 2022

Projects are the main vehicles of innovation and growth and are characterised by inherent uniqueness and uncertainty, particularly in the current complex, dynamic, and highly uncertain business environment. In most types of organisations, much effort is expended on dealing with risk-related issues in order to ensure project success. For this reason, there is growing interest from both academia and practitioners in Project Risk Management (PRM) as a value generation process for different stakeholder groups, particularly to understand what value can be generated in projects through PRM and how value generation can be improved, while considering contextual factors and the impacts on the individual, organisational, and societal levels. This study analyses value generation through PRM in a pilot case study in the IT consulting sector. From the analysis of the results, it is possible to grasp preliminary indications on how to promote value generation in projects through PRM; in addition, the integration of ecological and social impacts into the notion of value generation through PRM provides a perspective on the sustainability orientation of projects. This work contributes to filling a gap in the literature and provides guidance to organisations on how to tailor the PRM system to maximise value generation in projects to different stakeholder groups.
The Practical Experience of “Zero Waste City” Construction in Foshan City Condenses the Chinese Solution to the Sustainable Development Goals
Authors: Qin Tianyu , She Lingling , Wang Zhaolong , Chen Luosong , Xu Wanyi , Jiang Gaoming , Zhang Zhe
Published: September 2022

“Zero Waste City” (ZWC) is an urban development model that minimizes the environmental impact of solid waste at the city level and is a specific practice of the Sustainable Development Goals (SDGs). This paper aims to summarize the key points for realizing the construction of ZWC and the SDGs and make suggestions for promoting the construction of ZWC and forming a Chinese solution for the SDGs. It takes Foshan City, one of the second batch of ZWC pilot projects, as a case study, analyzes the relationship between the construction of ZWC and sustainable urban development from the relevance of the ZWC index system in Foshan City and the SDGs, and analyzes the foundation and problems of its ZWC construction in adjusting the industrial structure and improving the protection system. We find that the concept of the ZWC index system in Foshan City and the SDGs are consistent in the objectives of solid waste, resource utilization, management, sustainability, and multi-stakeholder partnerships. The construction of ZWC in Foshan City is built through two intertwined paths by (1) adjusting the industrial structure of solid waste generation areas such as industrial waste, domestic waste, agricultural solid waste, and hazardous waste and promoting the refinement of the whole industrial chain in these fields and (2) improving the institutional, technical, market, regulatory and other protection systems in the solid waste generation fields. This paper condenses the construction of ZWC in Foshan as a Chinese solution for SDGs, providing a practical example of sustainable transformation for other manufacturing cities, with implications for both China and other manufacturing-oriented cities.
The Association between Post-Traumatic Stress Disorder and Psychological Distress among Primary School and Middle School Teachers during the COVID-19 Epidemic: A Moderated Mediation Analysis
Authors: Liang Jia-Xin , Gao Ying , Chen I-Hua , Chen Xiu-Mei , Zheng Yuan-Yuan
Published: September 2022

Background: The outbreak of the coronavirus disease (COVID-19) and its rapid spread may have led to individuals developing post-traumatic stress disorder (PTSD) and psychological distress. Under this context, teachers merit more attention as a group with high levels of work stress. The purpose of this study was to verify the relationship between PTSD and psychological distress and to explore sleep problems as a possible mediator in the relationship between PTSD and psychological distress, as well as the moderator of internet gaming disorders (IGD) in the relationship between sleep problems and psychological distress. Methods: A total of 11,014 Chinese primary and middle school teachers participated in this study. The survey was conducted online between 25 May and 30 June 2020. Results: PTSD was shown to have both a direct and indirect effect on teachers’ psychological distress. The indirect effect was mediated by sleep problems. IGD played a moderating role between sleep problems and psychological distress. Conclusions: During the COVID-19 pandemic, PTSD has been shown to have had a serious impact on the psychological stress of teachers, which was mediated by sleep problems. In addition, IGD raised the harm brought from sleep problems on teachers’ mental health.
Consumer Preference for End-of-Life Scenarios and Recycled Products in Circular Economy
Authors: Cao Yu , Lu Honglei , Zhu Chunxiao
Published: September 2022

The way consumers dispose of end-of-life products (EoL products) and their acceptance of recycled products largely determine the final direction of resource flow. Therefore, clarifying consumers’ preferences for end-of-life scenarios (EoL scenarios) and recycled products and guiding consumers to participate in a circular economy is of great significance for enterprises and society to transition to a circular economy. However, as far as the existing research is concerned, there is a lack of comparison and summary of consumer preferences based on multi-category EoL products and recycled products. Therefore, this study took four categories of common consumer durables as the object to study consumers’ preferences for EoL solutions and recycled products and, based on the survey results, user segmentation in the market and consumer type segmentation in the CE were performed. The research results show that users generally support product reuse, and they generally have the highest acceptance of second-hand products and the lowest acceptance of refurbished products; meanwhile, consumers’ acceptance of recycled products varies by product type; according to the differences in preferences, consumers are divided into groups with different consumption characteristics; based on the differences in support for product recycling and recycled products, consumers are divided into the high perception group, the general perception group, and the low perception group in CE. The results of this study can provide reference for related research on sustainable waste management and sustainable consumption.
Research on Automatic Driving Trajectory Planning and Tracking Control Based on Improvement of the Artificial Potential Field Method
Authors: Li Yongyi , Yang Wei , Zhang Xiaorui , Kang Xi , Li Mengfei
Published: September 2022

With the continuous increase in motor vehicle ownership in recent times, traditional transportation has been unable to meet people’s travel needs. Research on autonomous driving technology will help solve a series of problems associated with driving, such as traffic accidents, traffic congestion, energy consumption, and environmental pollution. In this paper, an improved artificial potential field method is proposed to complete the planning of automatic driving trajectories by adding the distance adjustment factor, dynamic road repulsive field, velocity repulsive field, and acceleration repulsive field. The invasive weed algorithm is introduced to solve the defects associated with the traditional artificial potential field method. The prediction model—for which corresponding constraint variables were set and an optimal objective function was established to build up the MPC model controller to achieve the goal of trajectory tracking—was linearized and discretized from a vehicle dynamics model. Finally, co-simulation based on MATLAB and CarSim was used to verify the practicability of the model.
ЕФЕКТИВНІСТЬ МАК «ПОДОЛАННЯ» У РОЗВИТКУ СТРЕСОСТІЙКОСТІ ОСОБИСТОСТІ
Authors: Діомідова Наталія
Published: September 2022

Актуальність і мета дослідження. Одним з потужніших способів терапевтичної роботи з клієнтом є метафоричні асоціативні картки (МАК), утім у наукових розвідках існує брак емпіричного обґрунтування їх ефективності у роботі з клієнтом.

Мета статті:перевірити ефективність застосування МАК «Подолання» у розвитку стресостійкості особистості.

Результати і висновки:Модель BASICPh була розроблена М. Лаада та О. Аялон з метою розвитку стресостійкості та подолання негативних психоемоційних станів клієнта, зумовлених психотравмуючими ситуаціями та подіями життя. Розглянута модель є придатною для реалізації метафоричних асоціативних карток. Кожен із складників моделі BASICPh складає ядро індивідуального стилю поведінки під час перебування у стресі, тобто копінгу, тому МАК-терапевтичні засоби розвитку стресостійкості, запропоновані у даному дослідженні, передбачають актуалізацію шести ресурсів стресостійкості.

У результаті впровадження комплексу корекційно-розвивальних впливів було показано, що модель BASICPh є ефективною у подоланні стресу, зумовленого пандемією COVID-19, та розвитку стресостійкості клієнтів. У клієнтів, залучених до корекційно-розвивальних впливів МАК, зросли на статистично значущому рівні показники життєстійкості, стресостійкості, нервово-психічної стійкості та спали показники тривожності, зумовлені стресом від пандемії COVID-19.
ФЕНОМЕН СОЦІАЛЬНОЇ КРЕАТИВНОСТІ У ПСИХОЛОГІЇ: КОНЦЕПТУАЛІЗАЦІЯ ПОНЯТТЯ І МЕТОДИ ПСИХОДІАГНОСТИКИ
Authors: Поєзднік Олександр
Published: September 2022

Актуальність дослідження: У підлітковому та юнацькому віці сфера міжособистісного спілкування набуває першочергового значення, що висуває необхідність у розробці новітніх методів психодіагноситики соціальної креативності особистості.

Мета дослідження: концептуалізувати феномен соціальної креативності та визначити основні шляхи її психодіагностики.

Методи дослідження: тести соціальної креативності, опитувальник соціальної креативності А. Батаршева.

Результати і висновки.Соціальна креативність є багатовимірною здатністю особистості до ефективної соціальної взаємодії та соціальної діяльності, що характеризується низкою стандартних для загальної креативності властивостей (швидкість, гнучкість, оригінальність та розробленість) та представлена мотиваційним (мотивація афіліації і творчості, готовність до співпраці з іншими), когнітивним (соціальний інтелект та вербальна креативність, соціальна компетентність, групова креативність), поведінково-комунікативним (володіння комунікативними стратегіями, надситуативність у прийнятті рішень у взаємодії, соціальна трансгресивність, організаторські та комунікативні здатності, здатність до кооперації та конкуренції) та ціннісно-смисловим (командні цінності, альтруїзм як цінність, пріоритет потреб колективу над власними егоїстичними потребами) компонентами.

Апробовні у дослідженні тести соціальної креативності розроблені для школярів (перший тест) та студентів (другий тест) є набором ситуацій, на які респондент має надати розгорнуту відповідь. Представлені тести мають високу дискримінативну спроможність та дозволяють оцінити швидкість, гнучкість, оригінальність та розробленість соціальної креативності.
АДАПТАЦІЯ МЕТОДИКИ CSC (COVID STRESS SCALE) ДЛЯ ДОСЛІДЖЕННЯ СТРЕСУ, ВИКЛИКАНОГО ПАНДЕМІЄЮ COVID-19
Authors: Хомуленко Тамара , Кислова Ірина , Запорожець Юлія
Published: September 2022

Актуальність дослідження. Окремої уваги потребує проблема розробки психодіагностичного інструментарію для вивчення стресу, викликаного пандемією COVID-19.

Мета дослідження – здійснити україномовну адаптацію опитувальника The COVID-19 Stress Scales (CSS) С. Тайлора та співавторів.

Вибірка і методи дослідження. Психометричну вибірку досліджуваних склали 302 особи, рівномірно представлені за статтю, віком 16-65 років. Для перевірки структури методики був використаний факторний аналіз. Одномоментна надійність пунктів опитувальник перевірялась із застосуванням альфа-Кронбаха. Кореляційний аналіз був використаний для перевірки тест-ретестової надійності та дискримінативної та конвергентної валідності.

Результати.У результаті адаптації методики «COVID-стрес шкала» показано її високу надійність та валідність.

Висновки та перспективи.Доведено, що структура адаптованої методики цілком відповідає структурі оригінальної англомовної методики С. Тейлора. Тридцять п’ять з тридцяти шести пунктів адаптованої методики мають високу одномоментну надійність і увійшли до її кінцевого варіанту. У межах україномовної адаптації субшкали методики були названі: «Страх зараження вірусом та неспроможності захиститись», «Страх дефіциту продуктів першої необхідності та ліків», «Страх контактів з іноземцями», «Занепокоєння та компульсивні дії», «Тривожність та обсесії» і «Пошук інформації та профілактичні дії».

Показано дискримінативну та конвергентну валідність опитувальника «COVID-стрес шкали» через визначення кореляційних зв’язків показників занепокоєння та страху через COVID з показниками тривожності особистості. Було виявлено позитивний зв'язок стресу від COVID та реактивною тривожністю, а з особистісною тривожністю зв’язків зафіксовано не було.
BEKTAŞİ FIKRALARINDA OLUMLU VE OLUMSUZ MİZAH TARZLARI
Authors: YAZICI HİKMET
Published: September 2022

Anecdotes are literary products that contain different humour styles. Martin and colleagues stated that individuals use four humour styles, namely, affiliative, self-enhancing, aggressive and selfdefeating humour styles. Two of these humour styles are positive and two are negative. People perform different functions in interpersonal relationships by using different humour styles. Anecdote is one of the most important elements of humour. One of the most important types of anecdotes in Turkish culture is Bektashi anecdotes. These anecdotes, which are formed within the Bektashi culture, have local and universal values. The most important situation that causes laughter in these jokes is disharmony. There are certain types in Bektashi anecdotes. There are certain behaviours that these types represent. In this study, it is aimed to examine Bektashi anecdotes with positive and negative humour styles. This study was carried out with the document analysis technique. In the examination, it was observed that different humour styles were used in different jokes. There are many themes related to affiliative, self-enhancing, aggressive and self-defeating humour styles in Bektashi anecdotes. In Bektashi anecdotes in which affiliative humour is used, it is aimed to develop interpersonal relations. Using this humour style, Bektashi type interacts with people who have different beliefs and thoughts. With the self-enhancing humour style in Bektashi jokes, the individual develops in a positive way. Bektashi often uses this style when he comes into contact with himself. Bektashi ridicules and criticizes others by using aggressive humour. Themes related to positive humour styles are more common in Bektashi jokes. This situation highlights the function of Bektashi anecdotes to support personal development and social interaction. On the other hand, it is seen that the themes in the jokes associated with aggressive and self-defeating humour styles are appeared to be moderate. This shows that Bektashi anecdotes have a humanitarian basis.