bluuebunny/crossref_metadata_2025_split huggingface dataset:
Missing data estimates related to soybean production in the state of Mato Grosso, Brazil, from 1990 to 2018
Authors: Ribeiro João Gabriel , Piedade Sônia Maria de Stefano 
Published: September 2022

PurposeThe state of Mato Grosso represents the largest producer and exporter of soybeans in Brazil; given this importance, it was aimed to propose to use the univariate imputation tool for time series, through applications of splines interpolations, in 46 of its municipalities that had missing data in the variables soybean production in thousand tons, production value and soy derivatives in R$ thousand, and also to assess the differences between the observed series and those with imputed values, in each of these municipalities, in these variables.Design/methodology/approachThe proposed methodology was based on the use of the univariate imputation method through the application of cubic spline interpolation in each of the 46 municipalities, for each of the 3 variables. Then, for each municipality, the original series were compared with each observed series plus the values imputed in these variables by the Quenouille test of correlation of time series.FindingsIt was observed that, after imputation, all series were compared with those observed and are equal by the Queinouille test in the 46 municipalities analyzed, and the Wilcoxon test also showed equality for the accumulated total of the three variables involved with the production of soybeans. And there were increases of 5.92%, 3.58% and 2.84% for soy production, soy production value and soy derivatives value accumulated in the state after imputation in the 46 municipalities.Originality/valueThe present research and its results facilitate the process of estimates and monitoring the total soy production in the state of Mato Grosso and its municipalities from 1990 to 2018.
Identification of urban-rural integration types in China – an unsupervised machine learning approach
Authors: Zeng Qiyan , Chen Xiaofu 
Published: September 2022

PurposeDevelopment of urban-rural integration is essential to fulfill sustainable development goals worldwide, and comprehension about urban-rural integration types has been highlighted as increasingly relevant for an efficient policy design. This paper aims to utilize an unsupervised machine learning approach to identify urban-rural integration typologies based on multidimensional metrics regarding economic, population and social integration in China.Design/methodology/approachThe study introduces partitioning around medoids (PAM) for the identification of urban-rural integration typologies. PAM is a powerful tool for clustering multidimensional data. It identifies clusters by the representative objects called medoids and can be used with arbitrary distance, which help make clustering results more stable and less susceptible to outliers.FindingsThe study identifies four clusters: high-level urban-rural integration, urban-rural integration in transition, low-level urban-rural integration and early urban-rural integration in backward stage, showing different characteristics. Based on the clustering results, the study finds continuous improvement in urban-rural integration development in China which is reflected by the changes in the predominate type. However, the development still presents significant regional disparities which is characterized by leading in the east regions and lagging in the western and central regions. Besides, achievement in urban-rural integration varies significantly across provinces.Practical implicationsThe machine learning techniques could identify urban-rural integration typologies in a multidimensional and objective way, and help formulate and implement targeted strategies and regionally adapted policies to boost urban-rural integration.Originality/valueThis is the first paper to use an unsupervised machine learning approach with PAM for the identification of urban-rural integration typologies from a multidimensional perspective. The authors confirm the advantages of this machine learning techniques in identifying urban-rural integration types, compared to a single indicator.
Double-wall pipe-type power-frequency electromagnetic heating device with diversion ring and its heating mode optimization
Authors: Zhou Feng , Wang Zixuan , Zhao Yuxiang 
Published: September 2022

Purpose
The purpose of this paper is to study the pipe-type electromagnetic induction heating device under power frequency condition.

Design/methodology/approach
To reduce eddy current loss and improve heating efficiency, the structure of a pipe-type power-frequency electromagnetic heating device was optimized. Based on the maximum load flow formula, a parallel excitation winding structure is designed, and the distribution of electromagnetic field under four different powers is analyzed by simulation. Four heating modes were proposed according to the structure of diversion ring, inner wall and outer wall. Two heating modes with better heating effect were obtained by comprehensively considering the factors such as magnetic field distribution, thermal power and energy consumption.

Findings
The double-wall structure of the pipe-type electromagnetic heating device can make the heat source distribution more uniform, and the use of power-frequency power supply can increase security, the installation of diversion ring can make the heating more sufficient and the heating efficiency of the two heating methods selected according to the structural performance is more than 90%.

Originality/value
In view of the medium or high frequency of pipe-type electromagnetic heating device, it is necessary to configure high power electronic frequency conversion drive system, and eddy current can only be produced on the tube wall, resulting in uneven distribution of heat sources. A pipe-type power-frequency electromagnetic heating device with double-wall structure was proposed.
Evolutionary mechanism of green innovation behavior in construction enterprises: evidence from the construction industry
Authors: Li Xingwei , Liu Xiang , Huang Yicheng , Li Jingru , He Jinrong , Dai Jiachi 
Published: September 2022

PurposeThe green innovation behavior of construction enterprises is the key to reducing the construction industry's carbon emissions and realizing the green transformation of the construction industry. The purpose of this study is to reveal the evolutionary mechanism of green innovation behavior in construction enterprises.Design/methodology/approachThis study is based on resource-based theory, Porter's hypothesis and signaling theory. First, a measurement model of the green innovation behavior of construction enterprises was constructed from three aspects: environmental regulation, enterprise resources and public opinion through hierarchical analysis. Then, the state values of the measurement model of green innovation behavior of construction enterprises were calculated through the time series data from 2011–2018. Finally, the Markov chain model was used to predict the evolutionary trend of green innovation behavior of construction enterprises, and the accuracy of the prediction effect of the Markov chain model was verified using the time series data of 2019.FindingsThe Markov chain model of green innovation behavior of construction enterprises constructed in this study has high accuracy. This model finds that the transition of the growth state of green innovation behavior in China's construction industry is fluid and predicts the evolution trend of the innovation behavior of construction enterprises. In the future, the green innovation behavior of construction enterprises has a probability of 70.17% to be in a continuous growth state and 40.27% to be in a rapid growth state.Originality/valueBased on the Markov chain model of green innovation behavior of construction enterprises, this study finds that the transition of the growth state of green innovation behavior of construction enterprises in China has the characteristics of liquidity. In addition, it reveals the development process of the green innovation behavior of construction enterprises from 2011–2018 and predicts the evolution trend of the green innovation behavior of construction enterprises.
Flow mechanism of Gaussian light-induced vortex motion inside a nanofluid droplet
Authors: Liu Zhe , Yu Zexiong , Wang Leilei , Chen Li , Cui Haihang , Sun Bohua 
Published: September 2022

Purpose
The purpose of this study is to use a weak light source with spatial distribution to realize light-driven fluid by adding high-absorbing nanoparticles to the droplets, thereby replacing a highly focused strong linear light source acting on pure droplets.

Design/methodology/approach
First, Fe3O4 nanoparticles with high light response characteristics were added to the droplets to prepare nanofluid droplets, and through the Gaussian light-driven flow experiment, the Marangoni effect inside a nanofluid droplet was studied, which can produce the surface tension gradient on the air/liquid interface and induce the vortex motion inside a droplet. Then, the numerical simulation method of multiphysics field coupling was used to study the effects of droplet height and Gaussian light distribution on the flow characteristics inside a droplet.

Findings
Nanoparticles can significantly enhance the light absorption, so that the Gaussian light is enough to drive the flow, and the formation of vortex can be regulated by light distribution. The multiphysics field coupling model can accurately describe this problem.

Originality/value
This study is helpful to understand the flow behavior and heat transfer phenomenon in optical microfluidic systems, and provides a feasible way to construct the rapid flow inside a tiny droplet by light.
Conceptualizing “classroom teaching-learning process” that engages students in Indian business school
Authors: Kumar Ajit 
Published: September 2022

PurposeCase-based classroom teaching-learning process (hereafter, case method) has provided a very productive teaching-learning environment for a long time. In the case method, students are expected to meet some prerequisites, such as reading and analyzing the case in advance, listening to the classroom discussion and actively participating in the discussion. However, it is frequently reported in Indian business schools that students do not prepare the assigned case before the scheduled class. The under-preparation of cases results in low-quality discussion, high absenteeism, passive attitude and lack of energy.Design/methodology/approachThis study modeled the case method using an IGEO (input-guide-enablers-output, commonly used in any process modeling) framework to identify challenges in the case-based classroom teaching-learning process. A novel customized classroom teaching-learning process called the EPDE (explain, practice, discuss, explore) method replaced the case method. These two teaching-learning processes were used for teaching two groups of MBA students.FindingsThe novel EPDE method effectively addressed the case method challenges. It resulted in better learning outcomes in the Indian B-school context.Originality/valueThe purpose of the study is to examine the impact of an alternative to the traditional case study method in a college classroom among MBA students. Two points make this study original and unique: (1) The IGOE process modeling framework is used to model teaching-learning processes, such as the case and EPDE methods. Using IGOE for teaching-learning processes is unique and is not available in the literature and (2) the EPDE method is a novel concept.
Axiomatic design for lean autonomous maintenance system: an application from textile industry
Authors: Kose Yildiz , Muftuoglu Suleyman , Cevikcan Emre , Durmusoglu Mehmet Bulent 
Published: September 2022

Purpose
Autonomous maintenance (AM), one of the pillars of total productive maintenance (TPM), aims to achieve performance toward zero defects and zero breakdowns. AM system equipped with comprehensive lean tools provides continuous improvement during the AM activities. Despite its long duration, establishing a lean AM system with a robust guideline would provide significant benefits such as high quality and short lead time. Therefore, AM design approach should be provided in a holistic and detailed manner. This study aims to develop a framework for AM design, including preliminary, reactive, preventive and proactive steps using the axiomatic design (AD).

Design/methodology/approach
Requirements and technical parameters of the AM system are explored with AD. An extensive literature review and a real-life application are presented.

Findings
The proposed design was validated by adapting the proposed roadmap to a textile manufacturing system in Turkey. The application results justify the established AM system design with an average downtime improvement of 69.2% and the average elapsed time between two failures improvement of 65.1% for apparel department.

Originality/value
This study has the novelty of establishing an overall AM system design with all of its stages stepwise. It presents a comprehensive guideline in terms of integration of lean philosophy into AM design by generating maintenance-related use cases for lean tools. The developed approach facilitates creating and analyzing complex systems to improve maintenance implementations while reducing nonvalue-added operations.
“Basically, everything needs to be adapted”: provider perceptions of challenges and recommendations for effective health care with Karen people
Authors: Horn Tonya L. , McCleary Jennifer S. 
Published: September 2022

Purpose
Karen people from Burma are a new population in resettlement countries. While research increasingly documents their health needs, few studies describe how health-care providers adapt their practices to serve this group. The purpose of this study was to explore the experiences of providers who work with Karen patients/clients in health settings, documenting the challenges they face, how they adapt their practice and recommendations.

Design/methodology/approach
This study used a qualitative survey and one phone interview with a total of 20 providers who had first-hand experience caring for Karen people in health settings. Data were analyzed using qualitative content analysis.

Findings
Two main categories described challenges providers faced in working with Karen people in health settings: system-level challenges and interpersonal communication challenges. Five main categories described specific strategies and support needed to adapt practice for Karen patients in health settings: strategies for improving communication and mutual understanding; partnering with Karen staff, interpreters and cultural brokers; strategies for building trust and rapport; addressing needs related to case management, care coordination and social determinants of health; recommendations for provider training.

Originality/value
This paper contributes suggestions for adapting practice to meet the health needs of Karen people from the perspective of health-care providers in a location that is nationally recognized for its excellence in refugee health.
Assessing spectator motivation for the Paralympics: the mediating role of attitude
Authors: Kim Minhong , Park Jinwoo , Yoon Youngmin 
Published: September 2022

PurposeThe purpose of this study was to examine the influence of para-sport spectator motivation on spectator revisit intentions and the mediating effect of attitude on motivation and revisit intentions.Design/methodology/approachThis study was conducted in the context of the 2018 PyeongChang Winter Paralympic Games. A total of 350 respondents completed a survey. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the data.FindingsInspiration, supercrip image, physical skill/aesthetics, and social interaction had strong influences on attitudes toward Winter Paralympics, and attitude was also shown to have a strong impact on revisit intentions. The results also revealed the mediating effect of attitude on para-sports motivation factors (inspiration, supercrip image, physical skill/aesthetics, and social interaction) and revisit intentions.Originality/valueThis study extends the literature on para-sport spectator motivation. Although there are a few studies examining spectators' motivation to attend para-sport events, there is limited research on the relationships among motivation, attitude, and revisit intention based on consumer attitude theories. The results are valuable to sport managers in increasing the propensity of para-sports events by understanding the factors that lead to changes in attitudes and increases in future attendance.
Stakeholder perceptions of volunteer tourism community impact
Authors: Aquino Jessica , Andereck Kathleen L. 
Published: September 2022

Purpose
This paper aims to examine volunteer tourism (VT) experiences of three stakeholder groups in Rio de Janeiro, Brazil. The guiding research question is: how does VT influence marginalized communities from the perspectives of different stakeholders? This study was developed to address a need for further research that critically looks at the social impacts of VT in vulnerable communities and analyze the nature of VT by reviewing concepts related to sustainable tourism and social representation theory (SRT).

Design/methodology/approach
Using a phenomenological approach, this study is founded on SRT to understand the lived experiences of VT and the perceptions of its impacts on favela (slum) communities. This paper describes and interprets these meanings with a high degree of depth and richness using interviews, observation and document analysis. The experiences of community residents, voluntourists and non-governmental organization (NGO) staff are considered.

Findings
Study findings indicate that the different groups expressed several benefits and obstacles to VT. Voluntourists had a difficult time interpreting what influences VT has in general for the community focusing more inwardly on their personal experiences. Community residents experienced VT differently than the other groups. They identified the most benefits from VT and felt that they had the ability to create representations of themselves and of their community overall. NGOs expressed positive aspects of VT such as more community participation but noted concerns with voluntourists’ commitment.

Originality/value
This study is one of few to consider and compare the VT perceptions of three different stakeholder groups in vulnerable communities.
Judgment method of grasping stability for dexterous hand based on force balance theorem and Monte Carlo method
Authors: Wang Yinghan , Chen Diansheng , Liu Zhe 
Published: September 2022

Purpose
Multi-sensor fusion in robotic dexterous hands is a hot research field. However, there is little research on multi-sensor fusion rules. This study aims to introduce a multi-sensor fusion algorithm using a motor force sensor, film pressure sensor, temperature sensor and angle sensor, which can form a consistent interpretation of grasp stability by sensor fusion without multi-dimensional force/torque sensors.

Design/methodology/approach
This algorithm is based on the three-finger force balance theorem, which provides a judgment method for the unknown force direction. Moreover, the Monte Carlo method calculates the grasping ability and judges the grasping stability under a certain confidence interval using probability and statistics. Based on three fingers, the situation of four- and five-fingered dexterous hand has been expanded. Moreover, an experimental platform was built using dexterous hands, and a grasping experiment was conducted to confirm the proposed algorithm. The grasping experiment uses three fingers and five fingers to grasp different objects, use the introduced method to judge the grasping stability and calculate the accuracy of the judgment according to the actual grasping situation.

Findings
The multi-sensor fusion algorithms are universal and can perform multi-sensor fusion for multi-finger rigid, flexible and rigid-soft coupled dexterous hands. The three-finger balance theorem and Monte Carlo method can better replace the discrimination method using multi-dimensional force/torque sensors.

Originality/value
A new multi-sensor fusion algorithm is proposed and verified. According to the experiments, the accuracy of grasping judgment is more than 85%, which proves that the method is feasible.
The upside of narcissism as an influential personality trait: exploring the entrepreneurial behaviour of established entrepreneurs
Authors: Botha Melodi , Sibeko Sphumelele 
Published: September 2022

Purpose
As research emerged in terms of how narcissism, a negative or dark trait, has been found to be constructive in enhancing entrepreneurial behaviour, there are mixed results regarding the significance of narcissism in the field of entrepreneurship. Additionally, this previous research has mostly been conducted on student or nascent entrepreneur samples within developed economies. Therefore, the purpose of this paper is to explore how narcissistic traits of established entrepreneurs in an emerging economy context infuence their entrepreneurial behaviour both positively and negatively.

Design/methodology/approach
Gioia methodology was applied in the qualitative study by means of in-depth interviews, which allowed for the unpacking of narcissistic traits among established entrepreneurs in South Africa. Four themes emerged from the data, and included insights related to entrepreneurial experience influencing behaviour; business growth linked to personal development; opportunity identification versus loss; and identity separation in relation to authentic identity versus an entrepreneurial identity.

Findings
The findings of the paper contribute to creating an understanding of how to hone individual narcissistic traits for positive influences that develop entrepreneurs while also contributing to their business development, opportunity realization and identity. In addition, the findings highlighted a separation between established entrepreneurs’ authentic personality and the inputs that end up resulting in the entrepreneurial personality.

Originality/value
This paper highlights the possibility of narcissism functioning as a business process involved in entrepreneurship rather than a necessary personality trait. An interesting dynamic contributed to what seems to be a constant battle between the authentic identity and the entrepreneur identity, gaining deeper insight surrounding established entrepreneurs’ experiences to survive and, more importantly, thrive as entrepreneurs.