bluuebunny/crossref_metadata_2025 huggingface dataset:
Contrasting impacts of non-native and threatened species on morphological, life-history, and phylogenetic diversity in birds' assemblages.
Authors: Toussaint Aurele , Partel Meelis , Carmona Carlos Pérez
Published: November 2023

Human activities have altered the species composition of assemblages
through introductions and extinctions, but it remains unclear how those
changes can affect the different facets of biodiversity. Here we
assessed the impact of changes in species composition on taxonomic,
functional, and phylogenetic diversity across 281 bird assemblages
worldwide. To provide a more nuanced understanding of functional
diversity, we distinguished morphological from life-history traits. We
showed that shifts in species composition could trigger a global decline
in avian biodiversity due to the high number of potential extinctions.
Moreover, these extinctions were not random but unique in terms of
function and phylogeny at the regional level. Our findings demonstrated
that non-native species cannot compensate for these losses, as they are
both morphologically and phylogenetically close to the native fauna. In
the context of the ongoing biodiversity crisis, such alterations in the
functional and phylogenetic structure of bird assemblages could heighten
ecosystem vulnerability.
Cambios en el nivel de salud mental positiva en los colaboradores de una organización causados por la pandemia de covid-19
Authors: Silerio Hernández Linda Miriam , Lechuga Nevárez Mayela del Rayo , Morán Soto Gustavo , Lechuga Nevárez Mayela del Rayo
Published: November 2023

Abordar el tema de la salud mental positiva en los docentes de una institución educativa de nivel superior antes y durante la pandemia de covid-19 ha sido de gran relevancia y necesidad, pues existía un desconocimiento de la situación real, lo cual dificultaba la implementación de medidas de cuidado, apoyo y atención adecuadas. Este estudio, por ende, ha contribuido al conocimiento teórico, práctico y metodológico de este complejo constructo educativo. El objetivo principal fue evaluar si se produjo algún cambio significativo en los niveles de salud mental positiva de los docentes de una institución educativa de nivel superior tanto al inicio como durante el desarrollo de la pandemia de covid-19. La pregunta de investigación formulada fue la siguiente: ¿existe algún cambio significativo en el nivel de salud mental positiva al inicio y a lo largo de la pandemia de covid-19 en los catedráticos de dicha organización? El enfoque ha sido cuantitativo, el alcance descriptivo e inferencial, para lo cual se aplicó la encuesta a 201 catedráticos seleccionados aleatoriamente. Los resultados sugieren que la capacitación a los docentes en el uso de las tecnologías de la información y comunicación, el apoyo psicológico y el esfuerzo para lograr los objetivos planteados favorecieron que el nivel de salud mental positiva en los catedráticos mencionados se mantuviera sin cambios significativos, es decir, los docentes presentaron frecuentemente un nivel de salud mental positiva al inicio y a lo largo del confinamiento; también se encontró que el 20 % de los catedráticos casi nunca presentaron autocontrol, autonomía y relaciones interpersonales.
Resolution for Pandemics Approved by the International Telecommunication Union Plenipotentiary Conference [Past Related Activities and Future Challenges]
Authors: Nakajima Isao , Kawasumi Yasuhiko , Yoo Done-Sik , Androuchko Leonid
Published: November 2023

The ITU adopted a new resolution at its PP Conference held in 2022 in Bucharest, Romania to utilize ICT to combat pandemics and new infectious diseases. In this paper, we have investigated infectious disease-related contributions and declarations at the ITU-D up to the most recent resolution for pandemics, pointed out issues, and offered a concrete outlook. We are pleased that the new resolution on pandemics has been issued, but the specific details regarding infection detection, efforts to prevent infection (PP-22 Resolution 215), and technology content remain insufficient. The risk of highly pathogenic avian influenza infection and the global spread of Ebola virus disease cannot be eliminated. ICT plays a major role in social infrastructure, and its use in health care is rapidly expanding into fields of application. At the next PP Conference, we would like to request that ITU begin to focus on saving more lives by making full use of AI and ICT technology.
Esther Muñiz Espada, La especialización de los órganos judiciales en Derecho agrario
Authors: Moreno Mozo Fernando
Published: November 2023

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Study of Adhesion-Cohesion Interactions between Polymers in Adhesive Compositions
Authors: ZHELEVA Darina , DIMITROV Rashko
Published: November 2023

The results of the research prove that adhesives based on chloroprene rubber can be obtained not only in combination with phenol-formaldehyde resins, but also with other polymers. Selected chlorobutyl rubber (CIIR) and high styrene rubber (KER) proved to be substitutes for phenolic resins, which were used to obtain adhesive compositions with good properties. Despite the existing opinion on the same polarity of the components of the adhesive composition, guaranteeing the most favorable properties, it was shown that compositions with different polarity have all the parameters of quality adhesives. Components with different polarity also show the effect of mutual reinforcement, which determines the alignment, orientation ability of macromolecular chains and occurrence of cohesion and adhesion interactions. The observed textures obtained after mechanical impact proved this claim. Adhesives with more developed textures have better adhesive properties. The selected research methods successfully predict the properties of the components and facilitate their selection and amount.
The application of an all-media perspective-oriented teaching in the environmental art and design program
Authors: Xu Xuanyin
Published: November 2023

This paper is oriented to the all-media vision to run the database mechanism in a multidimensional interactive teaching system for environmental art and design majors to maximize the possibility of predicting the probability distribution of the next course. Installing the database on the server enables data interaction within the system. Use a wavelet neural network for training to achieve the balance of communication channels. The results show that the mean square error of the system designed in this paper is under 0.1, the minimum average response time is 120.6ms, and the score of the important factor of student course evaluation is 75. The all-media vision can provide teaching design ideas for the teaching process of environmental art design majors and nurture applied design talents, as demonstrated.
Model Construction and Analysis of Deep Learning-based Cybersecurity Awareness Enhancement for College Students
Authors: Song Chengli
Published: November 2023

This paper constructs a network security intelligence analysis model based on deep learning methods. Firstly, the weights and thresholds of network packets are modeled using the convolutional neural network algorithm to extract the main information features. Then, the backward propagation algorithm is used for layer-by-layer propagation, combined with an unsupervised autoencoder to achieve the network parameter update. The results show that the model can recognize a variety of network viruses, with an average detection rate of 97%, and the error rate is kept around 0.5%. The network security intelligence analysis model is based on the deep learning method to analyze and warn about network intrusion data, effectively improving college students’ awareness about network security.
Modern Human Resource Management System Based on Cloud Computing Platform
Authors: Yu He
Published: November 2023

This paper creates a human resource management system based on a cloud computing platform to achieve effective data analysis and calculation. The effectiveness of resource output is controlled through similarity characterization, fuzzy division of resource data, defining the division area, and then obtaining resource association rules. The system classifies the information of working employees according to the probability data, determines the characteristic attributes of the talent level vector of new employees, and can determine the initial level of new employees through the matching value. It is found that the gender R in the human resource management system increases significantly by 0.132, the R*R value is 0.624, and the behavioral performance is relatively high at 0.09, which indicates that the cloud computing platform can provide a scientific basis for the important decisions of the enterprise.
Analysis of the Degree of Influence of External Unfairness of Executive Compensation on the Stability of Corporate Management Teams
Authors: Yao Yan
Published: November 2023

This paper uses explanatory variables to carry out the degree of executive unfairness on the stability of the team, using the number of members serving in the sample period to measure the stability of the executive team, the introduction of risk-taking, inefficient investment mediating variables on the role of corporate merger and acquisition behavior impact path. By calculating the causal relationship between executive team stability and corporate technological innovation performance, it is concluded that the degree of external positive inequity in compensation impacts corporate stability. It is found that the mean value of executive compensation in the agriculture and forestry industry is 0.287, the median is 0.193, and the average annual growth rate of average executive compensation is 24.2%, which can provide practical suggestions for corporate managers and decision-makers about compensation setting and team building.
Factors influencing communication power in new media innovation combined with multi-source data fusion analysis
Authors: Liu Yiou , Huang Yingfei , Huang Haimin , Chen JiongZhao , Liang Ruomeng
Published: November 2023

This paper combines multi-source data and obtains effective data collection with higher value and richer knowledge connotations by cleaning, integrating, filtering, and transforming the original data. It also calculates the propagation characteristics of new media innovation, proposes the similarity of nodes, combines the propagation probability to construct the centrality degree and the near centrality expression, and analyzes the relationship of the propagation term that affects the new media innovation. The results show that when p takes 0.1, it is 13.8 and 14.15 seconds at 100 nodes and 500 nodes of new media innovations, indicating that the propagation time starts to extend gradually with the increase of p-value. The correlation between dissemination power and time in new media innovation incorporating multi-source data is demonstrated.
The Relationship between Human Resource Management and Organisational Performance in Universities Combining Multiple Linear Regression
Authors: Guo Xiaojing
Published: November 2023

This paper first explores human resource management and organizational performance and investigates the multiple linear regression model and its hypothesis conditions, parameter estimation, model testing and variable normalization treatment. Then, the evaluation index system of university organizational performance was constructed, and the relationship between human resource management and organizational performance in universities was analyzed in depth through correlation analysis, the relationship between subjects’ basic conditions and organizational performance, analysis of variance explanation of endogenous latent variables, and empirical analysis of the relationship between human resource management practices and organizational performance. The results show that information sharing has a significant positive relationship with research contribution (β=0.293, Sig.=0.084, T=4.67) and based on human resource planning has a significant positive relationship with research input (β=0.55, Sig.=0.023, T=2.362). Therefore, human resource management in universities has a significant impact on organizational performance.
Strategies for Civic Education in Colleges and Universities Based on Deep Learning Methods
Authors: Qin Hongliang
Published: November 2023

To solve the employment problems of college students, this paper integrates Civic Education and employment education, reforms the Civic Education of colleges and universities based on deep learning, and constructs the evaluation index system of Civic Education of colleges and universities to improve the employment and entrepreneurship rate. Based on the established evaluation indexes, a comprehensive evaluation model for college Civic Education based on deep learning is constructed by combining principal component analysis and gray correlation degree. The strategy evaluation is comprehensive by screening and assigning weights to the evaluation indexes. The results show that the maximum value of the gray comprehensive correlation degree is 0.93, and the correlation degrees of five first-level indicators are 0.18, 0.19, 0.2, 0.21 and 0.15, respectively. The quality of college Civic Education based on deep learning is superior and can enhance employment and entrepreneurship abilities.
Applying multiple linear regression to analyze the relationship between film and animation industry development and policy support
Authors: Yue Jingya , Feng Shaodan
Published: November 2023

To explore the role of policy in developing the film and animation industry to better utilize the service function of animation industry policies. This paper constructs a two-dimensional analysis model of the policy, selects and codes the policy text, and uses it as the explanatory variable in multiple linear regression. At the same time, the comprehensive evaluation of the development level of the film and animation industry was selected as the explanatory variable, the index system was constructed by using the diamond theory, and the public factors and weights of the evaluation were determined based on the factor analysis method. Finally, a regression equation was established through multiple regression analysis to explore the influence of policies on the production and revenue of film and television animation and product quality, and the correlation coefficients of the regression equation were determined. Implementing the film and television animation policy resulted in a 56.8% increase in the industry’s main business revenue. At the 0.05 level, the effect was statistically and economically significant.
Application of multi-source data fusion of modern dress design with the artistic elements of Chinese embroidery
Authors: Yuan Wei
Published: November 2023

This paper first investigates the method of extracting features from Chinese embroidery art images, including preprocessing, filtering, and enhancement steps. Then, the multi-classification recognition technique based on an improved support vector machine is used to classify and recognize different modern dress designs. Non-iterative and conjugate orthogonal algorithms are proposed for a feature fusion method based on partial least squares analysis. In the performance analysis part, the performance of feature extraction classification, data fusion energy, and fused data noise are evaluated. Lastly, the impact of the dress style generation map incorporating fused Chinese embroidery elements is analyzed. The study shows that the method in this paper can save 33.4 J of energy consumption after running for 250 s compared with the popular learning-based method. At least a 10% improvement in the number of dress style graphs that interest social event participants, etiquette service practitioners, and performers was achieved after multiple training iterations.
Business English Learning Path Based on Knowledge Mapping in the Context of Educational Informatisation
Authors: Cong Rui
Published: November 2023

In this paper, we first construct ontology and entity learning to construct a knowledge graph by matching the knowledge to the schema layer. Then, we obtain users’ learning styles, extract interest keywords from user behavioral data, map them into the vector space encoded based on the KgTransH algorithm, and compare them with the original algorithm on multiple datasets. Then, the business English learning path is planned based on learning path length, learning time and achievement ranking. Finally, the effect of the knowledge graph-based business English learning path planning method is analyzed through comparative experiments. Through 50 iterations, the satisfaction of the knowledge graph method, GA method and ACO method are between 4.3-4.8, 4-4.7 and 4.05-4.7, respectively, which indicates that the method of this paper is better than the other methods. This study is important for improving the learning effect of Business English.
The application of deep learning analysis based health psychology education in the ideology and politics course of universities
Authors: Zhang Xiaoyu , Zheng Qingsong
Published: November 2023

In this paper, a formal view of mental health based on deep learning was constructed by collecting social network data and psychological labeling data of students in colleges and universities, and the social network data model was extracted by using the MANE algorithm and combined with the average degree and other indexes to make a preliminary assessment. Oriented to this data model, a student mental health identification algorithm based on the MAM algorithm was proposed, and the method was combined with psychology education to study its application in the Civics classroom. From the perspective of educators, the influence degrees of teachers’ knowledge, ability, quality, and teaching input in Civics education from the psychological perspective are 0.214, 0.114, 0.043, and 0.048, respectively. Healthy psychology education based on deep learning can effectively analyze the psychology of Civics education and provide a guiding path to the use of psychology in the Civics classroom.
Phonological and Lexical Change in English Linguistics Applying the Dominance Relatedness Approach
Authors: Wang Yungang
Published: November 2023

This paper first analyzes the causes of phonological and lexical changes in English linguistics and discusses the main manifestations of English phonological changes and phonological and lexical changes. Then, it constructs the evaluation model of English linguistics using the dominant correlation method based on the entropy value, approximation ideal, and gray correlation methods. Finally, data on phonological and lexical changes are analyzed about the development of English linguistics in the past sixty years. From the analysis of factors affecting English vocabulary change, the historical factor responsible for vocabulary change is the development of human society, and the factor value currently stands at 0.428. In comparison, the social, psychological, cultural and foreign language factor values reach 0.654, 0.458, 0.512 and 0.461, respectively.
Liquid chromatographic fingerprinting technique for quality control of Angelica sinensis and its preparation
Authors: Liang Yong
Published: November 2023

In this paper, the fingerprints of 10 batches of Angelica sinensis herbs and 5 batches of commercially available Angelica sinensis preparations originating from different parts of China were determined by high-performance liquid chromatography (HPLC) fingerprinting using a methanol-acetonitrile solution system with linear gradient elution, and the similarity analyses were applied for the classification. Derringer’s satisfaction function evaluated the acceptable limit values for processing multiple characteristic peaks of Angelica sinensis herbs. The results showed that under selected chromatographic conditions, HPLC fingerprints of Angelica sinensis were obtained, and four characteristic peaks were calibrated. The similarities of 10 batches of Angelica sinensis herbs ranged from 0.953 to 0.998, and those of 5 batches of Angelica sinensis preparations ranged from 0.969 to 0.999. The method established in this paper is stable, reliable and reproducible, and it can be used to provide a reference for quality control of the herbs of Angelica sinensis and the drinkable tablets of Angelica sinensis body and to provide a reference for quality control of the classic prescriptions containing Angelica sinensis or the It can provide a reference for the quality control of Angelica sinensis herb and Angelica sinensis body tablets, and provide a basis for the development and research of classical prescriptions containing Angelica sinensis or Angelica sinensis.
Visual Communication Design Features Based on Traditional Animal and Plant Patterns
Authors: Li Peng
Published: November 2023

This paper contributes to the visual communication design of traditional animal and plant patterns by recreating the traditional pattern graphics based on the specific skeletal laws of traditional patterns. Based on the demand for vectorization of traditional animal and plant tattoos, a vectorization algorithm based on edge structure extraction is proposed to pre-process the tattoos using the gradient minimization model, and the tattoos are processed by image vectorization using the edge structure extraction algorithm of clustered segmentation and the Bézier curve fitting algorithm of the least squares method. Based on the image vectorization rendering of traditional animal and plant patterns, the visual communication design is carried out, and the color matching effect is analyzed in terms of single-factor color matching and comprehensive color matching. 10 extracted colors are analyzed in terms of the hue angle difference on the color ring, and the two comparative colors are the contrasting colors when the angle difference is 120~180°. The contrast height is highest when the difference value is 180°.
Talent cultivation model of rural tourism and industry-education integration combined with the advantageous correlation degree method
Authors: Chen Anhui
Published: November 2023

In this paper, we first constructed an industry-teaching integration model for rural tourism talent cultivation and determined the objectives, content, and cultivation methods for cultivating talent. Then, the correlation analysis model is established, the principal components are extracted, and the discrete behavioral observations of the system factors are transformed into segmented continuous lines through the method of linear interpolation, and then the geometric characteristics of the lines are used to determine whether the connection between different sequences is close. Finally, a correlation analysis is conducted on the level of talent cultivation during industry-teaching integration and the factors that influence it. The results show that the training conditions of industry-education integration β = 0.283, the training mode β = 3.409, and the training content β = 0.175, which indicates that the integration of industry-education integration plays an important role in cultivating rural tourism talents. This study proposes a new talent cultivation mode to provide a theoretical basis for the sustainable development of rural tourism.
Peran Perencanaan Karir terhadap Work Readiness pada Siswa Sekolah Menengah Kejuruan
Authors: Tentama Fatwa , Heryasa Mukti Bima
Published: November 2023

Work readiness berperan penting bagi individu agar dapat memperoleh, menjaga dan melakukan pekerjaan dengan baik. Penelitian ini bertujuan untuk menguji peran perencanaan karir terhadap work readiness. Populasi penelitian ini adalah seluruh siswa kelas XII SMK Muhammadiyah 1 Yogyakarta yang berjumlah 190 siswa. Sampel pada penelitian ini sebanyak 50 siswa yang diperoleh melalui teknik cluster random sampling. Instrument pengumpulan data pada penelitian ini menggunakan skala work readiness dan skala perencanaan karir. Data penelitian dianalisis dengan teknik korelasi product moment melalui bantuan software SPSS V.19. Hasil analisis data menunjukkan bahwa perencanaan karir memiliki hubungan positif dengan work readiness. Nilai r yang dihasilkan sebesar 0,297 dengan taraf Sig. 0,036. Sehingga dapat disimpulkan bahwa perencanaan karir sebagai faktor internal mampu memberikan kontribusi yang signifikan terhadap work readiness. Artinya faktor yang bersumber dari dalam diri cukup mampu mempengaruhi work readiness.
Resiliensi Orang Tua yang Memiliki Anak dengan Penyakit Kronis: Pengaruh Dukungan Sosial, Religiositas dan Faktor Demografi
Authors: Sumiati Neneng Tati , Nufus Dhea Hayatin , Latifa Rena
Published: November 2023

Orang tua yang memiliki anak dengan penyakit kronis mengalami kelelahan secara fisik, stress, frustrasi dan depresi. Di sisi lain, kondisi mental yang sehat dan stabil, atau secara spesifik daya lenting (resiliensi) sangat diperlukan dalam mendampingi proses pengobatan penyakit yang diderita anaknya. Penelitian ini bertujuan untuk menguji pengaruh dukungan sosial (emosi, instrumental, mencari dan membutuhkan dukungan), religiositas (belief, practice, feeling, knowledge dan effect) serta faktor demografi (usia anak, masa pengobatan, jenis penyakit, tingkat pendidikan dan pekerjaan orang tua) terhadap resiliensi orang tua yang memiliki anak dengan penyakit kronis. Teknik pengambilan sampel menggunakan nonprobability sampling jenis purposive sampling. Terdapat 160 orang tua yang berdomisili di Jabodetabek menjadi partisipan penelitian ini. Alat ukur yang digunakan yakni: Resilience Quetiont (RQ) Test, Berlin Social Support Scale (BSSS) dan skala religiositas yang mengacu pada teori Glock and Stark. Validitas instrumen penelitian dilakukan dengan menggunakan confirmatory factor analysis (CFA). Analisis data menggunakan Teknik analisis regresi berganda. Hasil penelitian menunjukkan bahwa dukungan social dan religiositas berkontribusi secara signifikan terhadap resiliensi orang tua (r2=60.2%, p<.001). Faktor-faktor yang berpengaruh secara signifikan adalah dimensi emosi (b=.865, p<.001) dan mencari dukungan sosial (b=.485, p=.011<0.05), dimensi practice (b=.333, p=.034) dan feeling religiosity (b=.921, p<.001). Sementara dari variabel demografi diketahui jenis penyakit (b=.485, p=.006) dan pekerjaan orang tua (b=-.540, p=.041) berpengaruh signifikan terhadap resiliensi orang tua. Impilikasinya disarankan untuk memberikan dukungan emosi pada orang tua yang memiliki anak dengan penyakit kronis dan orang tua disarankan untuk meningkatkan level religiositasnya.
Gambaran Stres dan Strategi Penyesuaian Diri Mahasiswa Fakultas Psikologi Universitas X Angkatan 2020 dalam Mengikuti Perkuliahan Tatap Muka
Authors: Tantoputri Anastasia Wulandari , Tjahjono Gabriella , Yosua Immanuel , Susilo Maria Olivia , Ferdinanto Nathania Adius , Tamara Shanika Iverna
Published: November 2023

Perkuliahan daring yang sudah genap dilaksanakan dalam kurun waktu dua tahun sebagai dampak dari pandemi COVID-19 berhasil mengalami penurunan kasus, hingga akhirnya pemerintah memutuskan untuk melaksanakan Perkuliahan Tatap Muka (PTM) kembali. Perubahan tersebut tentunya menimbulkan stres pada mahasiswa dan tuntutan penyesuaian diri dalam menghadapi rintangan PTM yang mereka alami, terkhusus mahasiswa Universitas X angkatan 2020 yang belum pernah melaksanakan perkuliahan offline sejak masuk kuliah. Oleh karena itu, tujuan dari penelitian ini adalah untuk mendapatkan gambaran mengenai stres dan strategi koping yang dilakukan mahasiswa dalam mengikuti PTM untuk pertama kalinya. Metode yang dilakukan dalam penelitian ini adalah kualitatif dengan pendekatan fenomenologis. Pengambilan data dilakukan dengan mewawancarai tiga mahasiswa Universitas X angkatan 2020 yang dipilih dengan teknik purposive sampling. Hasil penelitian ini menemukan bahwa beberapa hal yang menyebabkan stres dari partisipan selama mengikuti PTM adalah (1) masalah transportasi, (2) perubahan rutinitas, (3) terdistraksi dengan kehadiran orang lain, (4) tekanan dalam situasi sosial, (5) ketidakmampuan dalam melakukan multitasking, dan (6) dibutuhkannya energi yang lebih banyak untuk mengikuti PTM. Selain itu, peneliti juga menemukan jenis-jenis strategi koping yang dilakukan mahasiswa dalam menghadapi situasi stres akibat PTM, yaitu variasi dari problem-focused coping, emotion-focused coping, social support, religious-focused coping, dan meaning making. Hasil penelitian ini mengindikasikan perlunya perguruan tinggi untuk memperhatikan hal-hal yang berpotensi menimbulkan stres bagi mahasiswa dan memberikan dukungan yang mereka butuhkan dalam proses transisi menuju perkuliahan tatap muka, agar tetap mampu menjaga kesejahteraan psikologis mahasiswa.
Cost Analysis in the Transition of Projects to Remote Work During the COVID-19 Pandemic
Authors: Maritan Francieli Bender , Soliani Rodrigo Duarte , Drumond Thais Diniz Reis , Satrapa Herika Fernanda Dantas Montilha , Oliveira Pollyana Rufino de Souza , De Lima Junior Francisco Bezerra , Nora Leonardo Augusto Rodrigues da Silva , De Oliveira Gabriela Cunha
Published: November 2023

Theoretical Benchmark: The COVID-19 pandemic forced businesses to undergo unprecedented transformations. Projects emerged as key drivers of change, necessitating clear intentions and resource organization. Amid economic challenges, companies globally pivoted to remote work, leading to cost analysis implications. Delays and cost overruns persisted in project management, with factors like inadequate forecasting and unforeseen risks contributing. The study aimed to evaluate the expenses of three consulting projects transitioning from in-person to remote work due to the pandemic's impact.   Method: This study employs an exploratory case study methodology to examine the transformations undertaken by a private entity offering educational and technology services in response to the COVID-19 pandemic. The focus is on the technology and innovation sector, where services include metrology, technical services, product development, and consulting. Cost analysis is conducted, comparing in-person and remote project execution, with a fixed-price contract model, and profit margins are evaluated for each project mode.   Results and Conclusion: Adapting projects to remote work during the pandemic reduced costs and increased profit margins, with Project A achieving a 4.9% profit margin due to savings. Projects B and C saw significant cost reductions of 17% and 31%, respectively, when executed remotely, leading to higher profit margins. The study underscores the potential for remote consulting projects as a viable business opportunity and suggests further research into their impact on customer satisfaction and pricing competitiveness.   Research Implications: The study's findings recommend that consulting firms should adopt standardized cost estimation procedures and implement project-specific cost monitoring. These implications offer practical guidance to consulting firms aiming to excel in demanding situations and streamline their operations effectively. Originality/Value: This research explores how consulting firms can thrive during crises like COVID-19 by adopting remote work, which reduces costs and increases profitability. It suggests, as a topic for future research, a more detailed analysis of the correlation between project execution in-person and remotely, and how this directly affects the satisfaction and performance of client companies.
FACTORS AFFECTING OUTSOURCING DECISIONS FOR FACILITY MANAGEMENT SERVICES
Authors: Veerakul Nichakorn
Published: November 2023

This research aimed to explore factors that affect outsourcing decisions for Facility Management (FM) services in Thailand. It was based on the result of 290 respondents authorized to make decisions on outsourcing Facility Management services. Due to differences in each business field, factors that affect outsourcing decisions were also dissimilar. The goal of decisions, in general, was to choose outsourcing services instead of using in-house resources which reflected business needs in terms of management, strategy, economics, or others to help facilitate and increase the competition level. The results of decision makers' perceptions showed that important factors in different industries considerably varied. The most important factors were management and quality factors which were strongly supported by the Core Competency theory. Meanwhile, the Transaction Cost Economics theory was still significant but not regarded as a top priority for business concerns in the present uncertain period.
THE EFFECT OF CAPITAL STRUCTURE, LIQUIDITY, PROFITABILITY, ACTIVITY, AND INSTITUTIONAL OWNERSHIP ON COMPANY VALUE AMONG MANUFACTURING COMPANIES LISTED ON INDONESIA STOCK EXCHANGE DURING 2017-2022
Authors: Tania Christina , Susanti Merry
Published: November 2023

The value of a company that go public reflects the market price of the company's stocks. With the development of the company for the better, it will certainly affect the value of the company which will also increase. This study aimed at determining the effect of Debt to Equity Ratio (DER), Current Ratio (CR), Return on Equity (ROE), Total Assets Turnover (TATO), and Institutional Ownership (INST) on the Value of Manufacturing Companies listed in Indonesia Stock Exchange for the period 2017-2020. The sampling technique in this study used purposive sampling so that 56 companies were obtained. The research analysis method used was Panel Data Regression. The results showed that DER had a positive and significant effect on firm value, while CR, ROE, TATO, and INST had no influence on firm value.
PROPOSING INNOVATION MANAGEMENT MODEL IN LARGE CORPORATION
Authors: Santoso Aloysius Budi , Irawan Agustinus Purna , Suhartanto Eko
Published: November 2023

When business enters industry 4.0 era, emerging technologies are evolving and utilized to promote business performance. This signifies disruption among companies especially in large corporations due to its stiffness and slowness in response while startups or small companies are prone to response quickly. Previous studies suggest innovation to overcome this condition so that those large corporation could still enhance its performance in this industry era. Thus, several studies of them have been considered to propose an Innovation Management Model in Large Corporation. The result shows that in order to promote business performance, there are several factors needed to be considered such as: 1) Leadership, 2) Culture, 3) Support, 4) Innovation Process and 5) Business Performance. This study offers an interesting innovation management model to achieve business performance. This model consists of prementioned five components. From the proposal, business performance in large corporations is driven by innovation process. Meanwhile, in promoting this process, those large corporations need to promote leadership and culture. This model also suggests support for accelerating the process. This finding and contribution may give an opportunity for researchers to test the model for their future research.
UNDERSTANDING RELATIONSHIP INTELLECTUAL CAPITAL AND FINANCIAL PERFORMANCE ON HEALTHCARE SECTOR
Authors: Jovita Jovita , Nuringsih Kartika
Published: November 2023

In the era of knowledge-based economy, companies pay more attention to intellectual capital than managing tangible assets. This study aims to analyze the effect of the components of intellectual capital including human capital, structural capital, relational capital, and capital employed on the achievement of financial performance in the healthcare sector during the period intersecting with the pandemic. The sampling technique using purposive sampling obtained 15 companies during the 2019-2021 period so that the total observations were 45 firm-years. Quantitative research design using multiple regression with random effect model analysis. The results show that structural capital and capital employed have a significant positive effect of 5 percent on financial performance, while relational capital has the opposite effect. Human capital does not have a significant effect on achieving return on asset performance. As a post-pandemic implementation, the four components of intellectual capital should be managed in a balanced way so that they can add value to the sector.
THE INFLUENCE OF INTELLECTUAL INTELLIGENCE AND EMOTIONAL INTELLIGENCE ON EMPLOYEE PERFORMANCE MEDIATED BY JOB SATISFACTION
Authors: Gilliani Gratiani , Rahardjo Mukti
Published: November 2023

The success of PT Fast Food Indonesia Tbk. in becoming the best fast food restaurant brand in Indonesia, as mentioned on the Top Brand website from 2020 to 2022, is certainly supported by highly performing human resources. This situation sparks the researchers' curiosity to analyze the influence of intellectual intelligence and emotional intelligence and job satisfaction as an intervening variable on employee performance. The data was collected through the distribution of questionnaires using a google form. A total of 100 respondents were included in the sample for analysis. SmartPLS software with PLS-SEM approach is used in this analysis. According to the findings of this study, intellectual intelligence and emotional intelligence have a significant and positive effect on job satisfaction. Intellectual intelligence, emotional intelligence and job satisfaction also have a significant and positive effect on employee performance. Job satisfaction can meditate the influence of intellectual intelligence and emotional intelligence on employee performance.
Hybrid Model Transfer Learning ResNet50 and Support Vector Machine for Face Mask Detection
Authors: Iqbal Eko Agus Moh. , Kusumawati Ririen , Santoso Irwan Budi
Published: November 2023

The Covid-19 virus caused a health crisis in Indonesia. This virus is so deadly that it has caused many fatalities which have caused the whole world including the government to pay major attention to the Covid-19 pandemic. The Indonesian government has issued several policies to prevent the spread of this epidemic, one of which is wearing a mask in public places. One approach that is widely used in the field of computer vision is the Convolutional Neural Network (CNN) transfer learning. In this study, Hybrid Model Transfer Learning ResNet50 and SVM with RGB to HSV preprocessing is presented to detect masks in facial images. This model consists of three process components. The first is preprocessing RGB images to HSV, the second component is for Feature Extraction with ResNet50 and the third is mask classification on face images with Support Vector Machine (SVM). From dataset of 7328 training and testing data were carried out. The first model, without preprocessing the image data with ResNet50, produces an accuracy of 86.52%. The second model, the model with preprocessing converts image data from RGB to HSV with ResNet50 resulting in an accuracy of 99.18%. In the third model, without preprocessing with ResNet50 and SVM which has an accuracy of 90.55%. The fourth model, the model with preprocessing converts image data from RGB to HSV with ResNet50 and SVM resulting in an accuracy of 98.36%.
Penerapan Kolaboratif E-Government Pada Pelayanan Kepegawaian Badan Kepegawaian Daerah Provinsi Sumatera Barat
Authors: Pratama Debby Putri , Putera Roni Ekha , Koeswara Hendri
Published: November 2023

Collaborative E-Government not only changes the way government organizations carry out their duties but also changes the way the government interacts with its citizens in public services. This research aims to analyze and obtain a model regarding the implementation of collaborative E-Government at the Regional Civil Service Agency of West Sumatra Province in providing personnel services as proof that this collaborative E-Government is a solution to the never-improving quality of public services. This research uses a qualitative research method with a descriptive approach. Data collection techniques were carried out through interviews and documentation, where the informants in this research were selected purposively. The research results show that there is a dominance of fulfilling elements in the implementation of collaborative E-government, which has implications for improving personnel services in Regional Government. The only obstacles to collaboration are the network structure, governance, and access to resource elements. Thus, collaboration between actors in personnel services has become a solution to poor personnel service practices in local governments and has contributed to the development of literature on personnel service practice issues.
An Analysis of the Efficacy of South African MBA Programmes in relation to the 4th Industrial Revolution
Authors: Suleman Aamir , Nieuwenhuizen Cecile , Meyer Natanja
Published: November 2023

Background: MBA programmes are considered flagship business programmes for business individuals. Business schools are often revered for being cutting-edge and critical business thought centres. However, over the years, programmes such as the MBA have been criticised due to their relevance. Changes such as the Covid-19 pandemic, the 4th Industrial Revolution, and increasing global political instability have resulted in harsher trading environments for business. As the business landscape evolves, so too are business schools’ programmes, such as the MBA, required to evolve.
Purpose: This study explored the efficacy of a sample of South African MBA programmes concerning their perceived efficacy in developing leaders fit for the 4th Industrial Revolution.
Methodology: The study conducted a series of semi-structured qualitative interviews with identified stakeholders relating to the business school ecosystem to explore perceived opinions of the efficacy of business schools in programmes such as the MBA.
Findings: The analysis from the interviews revealed that MBA programmes in South Africa need to enhance their focus on aspects such as technology-linked technical skills, as this is a key driver that continues to shape the business landscape.
The Paradox of Freedom and Fear in Athol Fugard’s My Children! My Africa!
Authors: Simango John
Published: November 2023

The history of South Africa is characterised by fear that stems from violent colonisation by Europeans who had their own interests and neglected the needs of the original inhabitants of the land. The descendants of the colonisers made matters worse with the introduction of apartheid, which saw the implementation of discriminatory policies that included the forced removals of black people from their own land. This article traces and interrogates the fight for freedom by black South Africans against apartheid, a fight that can be described as brutal and accompanied by fear. This fight is nuancedly represented by Athol Fugard in one of his plays, My Children! My Africa! (1989), in which he links fear with the quest for freedom. Applying postcolonial theory to the play, this article argues that Fugard’s representation of apartheid’s oppression of black people complicates understandings of the concept of freedom by making freedom and fear inseparable.
Generating Sympathy for Specific Characters and Events in Mandla Langa’s “The Dead Men Who Lost Their Bones”
Authors: Sibuyi Dzunisani
Published: November 2023

In this article, I investigate Mandla Langa’s short story “The Dead Men Who Lost Their Bones” by applying Gérard Genette’s narrative discourse along with Mikhail Bakhtin’s dialogic imagination to the text. By highlighting the way in which Langa employs narrational strategies to generate meaning in the story, I aim to correct the critical neglect of this aspect of his work. It is established that two narrational modes of the intradiegetic-homodiegetic and the intradiegetic-metadiegetic are employed by two central characters in the narrative. The first character narrator is Clementine, the daughter of the second narrator, Simeon Ngozi. This produces a heterodiegetic narrative, that is, a multiple narrative strategy. This multi-voiced polyphonic narrative accentuates the plight of the main characters and their struggles under oppressive and exploitative conditions in apartheid South Africa. It also generates sympathy for these events, as well as for Clementine and her father.
Being “Woman” and Zimbabwean in Zimbabwe: Reading the (Un)Mournable Bodies in Tsitsi Dangarembga’s This Mournable Body
Authors: Ncube Ndumiso
Published: November 2023

There is a growing interest in Tsitsi Dangarembga’s last sequel that critiques Zimbabwe as a failed state. In this article, I analyse the representation of black female bodies in postcolonial/neoliberal Zimbabwe. My argument centres on the effects of the second-person narrative perspective and explores how this narrative perspective as Dangarembga’s preferred storytelling method recalibrates with the idea of shared urgency in Zimbabwe. In my reading, I argue that the narrative perspective prioritises the idea of being humane as a need to re-make Zimbabwe’s homeliness, particularly for “women.” In this way, I explore Dangarembga’s other modes of being human/woman that identify with the concept of unhu/ubuntu. I argue that the idea of being humane, or a new world-sensing, and the narrative strategy create urgency in being Zimbabwean, and being a “woman” in Zimbabwe. I argue that Dangarembga’s writing about pain, betrayal, and false hopes in This Mournable Body is her way of simultaneously writing against the Empire and neoliberal Zimbabwe—a way of pushing back and resisting Zimbabwe’s sociopolitical and patriarchal capitalistic order.
Niger Delta Subaltern Agency and Resistance in Obari Gomba’s The Ascent Stone and Stephen Kekeghe’s Rumbling Sky
Authors: Orhero Mathias Iroro
Published: November 2023

This article applies the theoretical positions of some scholars from the Subaltern Studies Collective to the reading of poetry by Niger Delta writers. I argue that the Niger Delta people are subaltern in the Nigerian national space due to their disadvantaged sociopolitical position as well as the resource conflict that has left the region at the mercy of the state and its agents. With insights from the writings of Ranajit Guha, Dipesh Chakrabarty, Gyan Prakash, Gayatri Chakravorty Spivak, and Partha Chatterjee, I read the subaltern themes of agency and resistance in Obari Gomba’s The Ascent Stone and Stephen Kekeghe’s Rumbling Sky. In adopting this framework, I draw from Guha’s original theorisation of peasant insurgency and the structure of power as well as later theorisations of relational power discourse and subaltern agency. My close reading of selected poems reveals the figure of the Niger Delta subaltern as the architect of their own destiny and whose resistance haunts the dominant discourse of the nation. The notions of insurgency, the nation and its fragments, failed revolutions, and relational power discourse are deployed as hermeneutical strategies. My adoption of this theoretical approach recovers its insights for the reading of literary works by writers from minority groups.
Implementing the Supervision Framework for the Social Work Profession: Supervisors’ Views and Experiences
Authors: Tsima Doris Lesego , Ncube Mpumelelo
Published: November 2023

This study focused on social work supervision and its impact on the occupational development and service delivery of supervisees, specifically within the South African Department of Social Development (DSD). While previous research has often examined the views and experiences of supervisees and student social workers, the study uniquely explored the perspective of social work supervisors. Utilising the systems theory as a theoretical framework, qualitative research with semi-structured interviews and thematic analysis was employed. The findings revealed significant structural challenges that hindered the alignment of social work supervision with the DSD’s established Supervision Framework. As the scope of the study was limited to the Mahikeng Service Point, North West, South Africa, generalisation is cautioned, necessitating further research in other welfare organisations for a broader understanding.