Motivation For Research Research Articles

Adaptation of the Global Motivation Scale (GMS-28) in Indonesian Version

Motivation is one of the important variables for study, whereas many motivational studies have been conducted to predict learning, performance, and behavior change. The motivational scale that has gone through psychometric testing is required in motivational research to accurately describe the construct. There is still low availability of motivational scale in Indonesia that has passed the psychometric testing. Therefore, this study aims to adapt the Global Motivation Scale (GMS-28) into Indonesian. The adaptation process refers to the adaptation guidelines by the International Test Commission, where the process of adaptation also involves psychometric testing. Data collection was carried out using an online questionnaire on 383 participants aged 18-25 years. The psychometric test was carried out using internal consistency reliability and validity based on internal structure. The internal consistency scale has revealed all acceptable reliability coefficients aspects with a range of a = 0.703 – 0.810. Item analysis pointed out that all items have good item-total correlation and item mean. Findings from First-order Confirmatory Factor Analysis showed that all aspects have acceptable model fit and all of the items significantly measures the aspects on GMS-28. Based on these results, it can be concluded that the Indonesian version of the GMS-28 is suitable for use for further studies. However, further testing needs to be done using a larger sample to be used in all Indonesian populations.

Gender Difference of English Learning Motivation Intensity among Higher Vocational Students

In the motivation research in foreign language acquisition, most scholars focus on the motivation types and triggering factors. The paper will focus on the English learning motivational efforts or intensity through the investigation on English learning behaviours. It is targeted at the gender difference of the intensity among higher vocational students and comparing the situation between 200 EFL undergraduates and 207 EFL higher vocational students. Based on the results, the pedagogical methods are suggested targeted at higher vocational students' English learning.

UPAYA TERUKUR PENINGKATAN KINERJA DENGAN PENGUATAN DISIPLIN DAN PEMBERIAN MOTIVASI KERJA PADA KARYAWAN PT. SEWU SEGAR PRIMATAMA JAKARTA

The purpose of this study was to determine the effect of work discipline and motivation on employee performance at the Tangerang City National Defense Office. either partially or simultaneously. The method used in this research is a quantitative method. The sampling technique used is saturated sampling, using a sample of 60 respondents. The data analysis technique used is statistical analysis by testing the validity test, reliability test, classic assumption test, simple linear test, multiple linear regression test, coefficient of determination, hypothesis t test and hypothesis f test. The results of work discipline research have a significant effect on employee performance partially, indicated by the simple linear regression equation Y = 12.403 + 0.706 X1. This is evidenced by the hypothesis test obtained tcount > ttable (3.469 > 2.000) and reinforced by the ? value < Sig.0.05 or significance <0.05 (0.000 <0.05). Motivation has a significant effect on employee performance partially as shown by the simple linear regression equation Y = 15.412 + 0.637 X2. This is evidenced by the results of the hypothesis testing obtained tcount > ttable (3.395 > 2.000) and reinforced by the ? value < Sig.0 .05 or a significance value <0.05 (0.000 <0.05). The results of work discipline and motivation research on employee performance at the Tangerang City National Defense Office are shown by the multiple linear regression equation Y = 7.884 + 0.431 X1 + 0.383 X2 This is evidenced by the simultaneous hypothesis test results obtained by the value of fcount > ftable ( 33.599> 3.16) and reinforced by a significance value <0.05 (0.000 <0.05). The test results for the coefficient of determination of work discipline (X1) and motivation (X2) have an effect of 54.1% on the performance of employees at the Tangerang City National Defense Office. Thus H0 isrejected and H3is accepted. This means that it is proven that there is a significant effect simultaneously between work discipline (X1) and motivation (X2) on employee performance (Y).

Energy Efficient UAV-Based Last-Mile Delivery: A Tactical-Operational Model With Shared Depots and Non-Linear Energy Consumption

This paper studies the drone-aided last-mile delivery problem with shared depot resources. Our research motivation comes from E-commerce logistics, where big companies such as Amazon, are already filing up patents for the development of drone-friendly fulfillment centers towers that could serve as both charging hubs and convenient pit stops for delivery drones to pick up and drop off packages efficiently. We mainly focus on the tactical decisions about the selection of shared fulfillment centers used as the drone launch and retrieve stations and the fleet size plans. The operational drone route decisions are also incorporated into a unified framework to account for the mutual impact between tactical and operational plans. Moreover, we consider explicitly the non-linear and load-dependent nature of the energy consumption function for drone batteries. The problem is formulated as a mixed integer program with linear constraints, developed in the realm of layered networks, where the non-linear nature of energy consumption and its load dependency are incorporated and efficiently handled without the need of approximating non-linear terms. The proposed model is tested on an extensive set of instances with up to 75 customers, showing its computational efficiency. Insights about the route costs and spatial configuration of depots are also discussed.

Challenges hindering emergency physicians; involvement in multicenter collaborative studies in Japan: A nationwide survey analysis.

Multicenter collaborative research accelerates patient recruitment and strengthens evidence. Nevertheless, the factors influencing emergency and critical care physicians' involvement in such research in Japan remain unclear. A nationwide web-based survey conducted in early 2023 targeted emergency physicians working a minimum of 3 days per week in Japan. The survey descriptively assessed their backgrounds, work and research environments, experiences, and perceived impediments and motivators for multicenter research. Of the 387 respondents, 348 were included in the study, yielding a 5.1% response rate. Women comprised 11% of the participants; 33% worked in university hospitals, 65% served in both emergency departments and intensive care units, and 54% did shift work. Only 12% had designated research time during working hours, with a median of 1 hour per week (interquartile range 0-5 h), including time outside of work. While 73% had participated in multicenter research, 58% noted barriers to participation. The key obstacles were excessive data entry (72%), meeting time constraints (59%), ethical review at each facility (50%), and unique sample collection, such as bronchoalveolar lavage specimens or pathological tissues (51%). The major incentives were networking (70%), data sets reuse (65%), feedback on research results (63%), and recognition from academic societies (63%). Financial rewards were not highly prioritized (38%). While valuing clinical research, emergency physicians face barriers, especially data entry burden and limited research time. Networking and sharing research findings motivate them. These insights can guide strategies to enhance collaborative research in emergency and critical care in Japan.

Entropy Generation and Regression Analysis of Magnetohydrodynamic Stagnation Point Flow of a Casson Fluid with Radiative and Dissipative Heat Transfer and Hall Effects

The phenomenon of heat transfer is prevalent in industries and has an extensive range of applications. However, mostly the discussion of heat transfer problems is limited to the study of the first law of thermodynamics, which deals with energy conservation. It is just restricted to the quantity of energy, not to its quality; i.e., there is no difference between the work (high‐grade energy) and the heat (low‐grade energy). A measurement of the degree of randomness of energy in a system is known as entropy. It is unavailable for doing useful work because work takes place only from ordered molecular motion. Even though many boundary layer models exist in the literature to investigate the flow and heat transfer of various fluids along a stretching surface, they have not yet been used at their maximum ability. The main motive of the current research is to discuss entropy generation or its minimization during heat transfer. This work presents an entropy generation analysis for the transient three‐dimensional stagnation point flow of a hydromagnetic Casson fluid flowing over a stretching surface in the existence of Hall current, viscous dissipation, and nonlinear radiation. The physical configuration of the present work is described in terms of partial differential equations (PDEs) of nonlinear nature. Furthermore, these PDEs are converted into ordinary differential equations by using some relevant similarity transformations. An efficient numerical method named as the spectral quasilinearization method (SQLM) is used to solve this model. The expression of the Bejan number and volumetric entropy generation rate is also computed. A parametric analysis, including the essential physical parameters, is performed to examine the influences of distinct flow parameters on the velocity profile, temperature profile, Bejan number, entropy generation number, and the coefficients of skin friction and the Nusselt number. In order to further insight into the emerging physical quantities of engineering interest, multiple quadratic regression models are used to estimate the coefficients of skin friction and heat transfer.

Knowledge Gaps in Employee Motivation and Organizational Productivity Research

The issue of motivation has repeatedly posed significant challenges to companies around the world, especially in manufacturing companies, where a high level of productivity plays an important role in determining profitability, growth, development, stability and future growth. The organization plays a role in the success of a company. Therefore, to successfully gain a competitive advantage over your competitor and avoid a steady decline in the productivity of your employees, you must ensure that the employees are properly motivated. The main purpose of this study is to examine the effect of employee motivation on organizational productivity. We reviewed extant literature on employee motivation. theoretical antecedents, conceptual frameworks and empirical review were conducted to be able to identify knowledge gaps in literature. Our objective is to set the stage for further studies on motivation using an identifiable case study. Keywords: Motivation, Productivity, Organization, Employees, Employers, Stability, Growth, Development Journal Reference Format: Oluyombo Olawale F. & Adeyemo, Felicia S. (2023): Research Gaps in Employee Motivation in Organizational Productivity Research. Humanities, Management, Arts, Education & the Social Sciences Journal. Vol. 11. No. 4, Pp 37-56. www.isteams.net/humanitiesjournal. dx.doi.org/10.22624/AIMS/HUMANITIES/V11N4P4

The efficiency of the distance learning system and contributions of behavioural practices to motivation and passion for research in metacognition in its prediction

The efficiency of the distance learning system and contributions of behavioural practices to motivation and passion for research in metacognition in its prediction

Community smells—The sources of social debt: A systematic literature review

Social debt describes the accumulation of unforeseen project costs (or potential costs) from sub-optimal software development processes. Community smells are sociotechnical anti-patterns and one source of social debt. Because community smells impact software teams, development processes, outcomes, and organizations, we to understand their impact on software engineering. To provide an overview of community smells in social debt, based on published literature, and describe future research. We conducted a systematic literature review (SLR) to identify properties, understand origins and evolution, and describe the emergence of community smells. This SLR explains the impact of community smells on teamwork and team performance. We include 25 studies. Social debt describes the impacts of poor socio-technical decisions on work environments, people, software products, and society. For each of the 30 community smells identified as sources of social debt, we provide a detailed description, management approaches, organizational strategies, and mitigation effectiveness. We identify five groups of management approaches: organizational strategies, frameworks, models, tools, and guidelines. We describe 11 common properties of community smells. We develop the Community Smell Stages Framework to concisely describe the origin and evolution of community smells. We then describe the causes and effects for each community smell. We identify and describe 8 types of causes and 11 types of effects related to the community smells. Finally, we provide 8 comprehensive Sankey diagrams that offer insights into threats the community smells pose to teamwork factors and team performance. Community smells explain the influence work conditions have on software developers. The literature is scarce and focuses on a small number of community smells. Thus, the community smells still need more research. This review helps by organizing the state of the art about community smells. Our contributions provide motivations for future research and provide educational material for software engineering professionals.

Understanding how institutions may support the development of transdisciplinary approaches to sustainability research

This article analyses the approaches of academics seeking to engage with private, public and community-based stakeholders through transdisciplinary research about pressing sustainability challenges and, in particular, climate change; it outlines aspects of the institutional factors which influence transdisciplinary research. A qualitative approach was employed in conducting 10 semi-structured interviews to analyse the challenges and motivations of academic researchers when working with a range of other stakeholders through transdisciplinary practice. Two key contributions are made through this work. First, this article adds to the existing literature on motivations and challenges for undertaking research with private, public and community stakeholders in a cross-disciplinary manner. Second, the current institutional circumstances influencing such research practices are outlined, alongside potential ways forward. The research presented here has been undertaken in light of the experiences of the two lead co-authors as early career researchers coming from the disciplines of sociology and energy engineering, engaging in transdisciplinary research within a local community context in relation to a regional energy transition project.

Popular science film as a resource for integrating media education technologies into the mathematics teaching system

Introduction. The formation of a media–literate generation is one of the priority directions of Russia's social development. The aim of the study was to develop and implement media education technologies in the process of training future mathematics teachers in order to form their skills in creating visual media texts as effective means of developing sustainable motives for searching and mastering complex mathematical knowledge. Materials and methods. 92 students of I.A. Bunin Yelets State University (Russian Federation) took part in the pilot study in the period from 2020 to 2023. The experimental sample was made up of students of the direction of training "Pedagogical education". The leading method was an expert assessment based on the qualitative and quantitative characteristics of the pedagogical activity of students by school leaders, supervising subject teachers and methodologists in mathematics from the university. Research results. In the study, popular science videos created by future mathematics teachers are presented as an effective didactic tool for the formation of stable motives for the development of complex professional knowledge. Today's students, preparing for the training of the digital generation, born in a saturated information and communication environment, unprecedented impact from the media, should master media educational technologies at the stage of university training and learn how to implement them in the taught subject. The features of the introduction of media educational technologies in the process of teaching mathematics are associated with a new means of teaching – visual media text, made by students based on their knowledge and skills in the field of media, mastering creative activities for the preparation of popular science video products using multimedia capabilities of digital platforms. At the same time, the goals of the academic discipline (mathematics) remain a priority, and media educational tasks only contribute to its achievement. Popular science videos demonstrate their effectiveness in the framework of classes on the methodology of teaching mathematics, as well as in the implementation of automated solutions. Used during the period of pedagogical practice, they, on the one hand, help novice teachers to present complex mathematical material in a fascinating and accessible way, and on the other hand, they serve as evidence of a high level of media educational literacy of the teacher. Conclusion. Practice-oriented plots, which have received a visualized format, establish the wide applicability of mathematical knowledge to modern technologies and multiple aspects of everyday life. They serve as an inexhaustible source of actualization and motivation of educational, research and creative potential of students. Having mastered such technologies, future mathematics teachers are able to easily adapt to the conditions of digitalized education, in which they will have to carry out their professional activities. The author's technological solutions will provide scientists with a reference point for further research in the field of improving technological forms of visual learning, and teachers will have the opportunity to study practical ways of implementing media educational technologies.

The predatory journals phenomenon

Science policy is becoming one of the priority areas of government activity. Various indicators are used to determine the development of science. One of them is the presence of publications in foreign peer-reviewed journals. This indicator is important when advancing in a career, obtaining a degree,and funding projects. The demand for such articles has led to the formation of the phenomenon of predatory journals or pseudoscience, when researchers, for various reasons, publish their articles in low-grade journals. Determining the main characteristics of such journals, as well as identifying the reasons why the author is sent articles there, is the purpose of this work.Also, this article presents an analysis of the publications of Kazakhstaniscientistsand reveals the motives of researchers who publish in predatory journals. The main hypothesis is that the policy pursued by the state negatively affects publication practices, namely, it contributes to an increase in the proportion of articles in predatory journals. The scientific and practical significance of the work lies in the assessment of the ongoing scientific policy of the state. The article uses a secondary data analysis, based on the Scopus and SJR databases, and an analysis of the publication activity of Kazakhstaniscientists was carried out. Proposed measures to combat pseudoscience.

IMPLEMENTATION OF VECTOR AUTO-REGRESSION MODELS IN TOURISM: STATE OF THE ART ANALYSIS AND FURTHER DEVELOPMENT

Purpose The dissertation focuses on time series analysis and is based on several research strategies and methods. The methodology used in the research process was published in four papers as part of international scientific journals indexed in the Web of Science database. Since tourism is one of the most lagged industries in science there is need for new and innovative approaches in key tourist sector determinants modelling and forecasting. This doctoral thesis introduces an extension of time series methodology that focuses on investigating and testing the normal distribution of residuals, as a key adequacy prerequisite of econometric models. This issue has not systematically been considered in quantitative approaches in tourism. The motivation for research of the doctoral thesis are multidimensional: to filter previous research on time series in tourism and to theoretically and empirically improve and redesign time series methodology and methods for tourism. Both issues were successfully presented in one of the published papers. Finally, tourism forecasts should be based on reliable models as evident, from the most recent shocks, ex-ante tourism forecasting has to be considered crucial in evaluating model efficiency. The dissertation aimed to research and develop appropriate econometric models able to capture the specifics of multiple interactions in the tourism market. The research seeks to develop econometric models for the Republics of Slovenia and Croatia, two countries whose economic development is predicated on tourism. Four goals and four specific objectives have been specified during the research process: 1) To introduce an improved time series approach in cointegrated panels. The first specific objective (SO1) is to test at least ten econometric modelling structures that reduce cycle breaks. 2) To examine previous theoretical thinking regarding the cointegration of time series, cross-sectional data, and panels. The second specific objective (SO2) is to outline at least 250 previous empirical studies for the tourism industry. 3) To examine cointegration in tourism data for Slovenia and Croatia. The third objective (SO3) is to model at least three econometric time series equations and mathematical theorems/ lemmas for the tourism industry. 4) To improve and better understand unit root tests in tourism. The specific objective (SO4) is to approach the design of at least three stable and innovative models.

Hybrid Harris Hawks With Sine Cosine for Optimal Node Placement and Congestion Reduction in an Industrial Wireless Mesh Network

The optimal performance of a wireless mesh network (WMN) can be greatly improved by strategically placing wireless mesh routers. As a result, it is crucial to optimally locate the WMN routers for better coverage and connectivity. Besides the optimal placement, the network congestion due to overlaying routers has to be taken into consideration. These issues have become a motivation for researchers to identify a variety of approaches to optimize WMN performance. Multiple metaheuristic algorithms have been employed for identifying the trade-offs between coverage and connectivity in WMN. Consequently, a novel hybrid Harris Hawks optimization with the sine cosine algorithm (HHOSCA) is presented in this work to tackle the aforementioned WMN optimization problems. The proposed HHOSCA seeks optimal router placement that leads to significantly increased network coverage and achieves full connectivity between the mesh routers. In addition, the proposed HHOSCA produces a cost-effective WMN by reducing the congestion in the network to the minimum number of routers whilst ensuring maximum coverage and connectivity. The superiority of the proposed HHOSCA in comparison to the other algorithm was validated by using 33 benchmark functions. It was compared against four well-known algorithms including Sine Cosine Algorithm (SCA), Harris Hawks optimization (HHO), Gray Wolf Optimization (GWO), and Particle Swarm Optimization (PSO). These algorithms are statistically analyzed and compared to the simulated results of the proposed method. In addition, the performance of HHOSCA is compared to the state-of-the-art to highlight the efficacy of the proposed algorithm. The statistical analyses and simulation findings confirm that the HHOSCA outperforms the other algorithms in terms of network connectivity, coverage, network reduction, and convergence. The experimental results reveal that the proposed HHOSCA method achieves favourable optimization results compared with other relevant methods.

The Missing Piece: Incorporating Organizational Factors in Employee Motivation Research

The paper discusses the concept of employee motivation in the workplace and its importance for organizational success. It highlights the gap in literature regarding the most effective ways to motivate employees, which mainly focuses on individual factors such as personality traits and motivational theories. The paper aims to explore the impact of both individual and organizational factors on employee motivation and to determine the most effective ways to motivate employees. The existing academic research on employee motivation is plagued by contradictions and inconsistencies, particularly regarding the emphasis on individual factors as the primary drivers of motivation and ignoring the impact of organizational factors. The paper argues for a more holistic approach to employee motivation that considers both individual and organizational factors.

Frequência de Exercícios e Níveis de Ansiedade e Estresse durante a Pandemia de COVID-19 são mediados pelo Anseio por Repouso e Gasto de Energia

The concept of craves to move and to rest is a psychological construct that has recently been proposed as a key predictor for exercise adherence and a more active lifestyle in the fi eld of motivation research. During the COVID-19 pandemic lockdown, we observed that individuals who engaged in regular exercise reported better levels of psychological health and wellbeing. Based on this observation, our hypothesis was that craves to move and to rest could also mediate the relationship between the frequency of physical exercise and anxiety and perceived stress. To test our hypothesis, we recruited 574 volunteers who completed four online questionnaires assessing state anxiety, perceived stress, craves to move and to rest, and sociodemographic information (including weekly frequency of exercise) during the COVID-19 lockdown. We used a structural equation model, specifi cally a mediation analysis, which revealed a signifi cant mediating eff ect of craves to move and to rest between the frequency of physical exercise and anxiety and perceived stress levels. In other words, the weekly frequency of exercise was not directly associated with state anxiety, but rather through its eff ect on craves to move and to rest. Our results suggest that understanding the role of craves to move and to rest is crucial in comprehending the relationship between physical exercise and anxiety.Keywords: Motivation, anxiety, stress, exercise, COVID-19

Survey on Task Scheduling Optimization Strategy under Multi-Cloud Environment

Cloud computing technology is favored by users because of its strong computing power and convenient services. At the same time, scheduling performance has an extremely efficient impact on promoting carbon neutrality. Currently, scheduling research in the multi-cloud environment aims to address the challenges brought by business demands to cloud data centers during peak hours. Therefore, the scheduling problem has promising application prospects under the multi-cloud environment. This paper points out that the currently studied scheduling problems in the multi-cloud environment mainly include independent task scheduling and workflow task scheduling based on the dependencies between tasks. This paper reviews the concepts, types, objectives, advantages, challenges, and research status of task scheduling in the multi-cloud environment. Task scheduling strategies proposed in the existing related references are analyzed, discussed, and summarized, including research motivation, optimization algorithm, and related objectives. Finally, the research status of the two kinds of task scheduling is compared, and several future important research directions of multi-cloud task scheduling are proposed.

RESEARCH MOTIVATION OF PHD STUDENTS UNDER MARTIAL LAW: CHALLENGES AND WAYS OF IMPROVEMENT

The article presents research results on exploring the impact of martial law on research motivation of PhD students of Sumy State Pedagogical University named after A.S. Makarenko majoring in specialty 011 Educational, Pedagogical Sciences. The study was conducted among the first-fourth year PhD students of the 2018-2021 years of admission and involved 22 participants. The results of conducted surveys, observations and interviews proved significant decrease in PhD students’ motivation for research caused by war in Ukraine. These findings were confirmed by the annual report of postgraduate students at the meeting of the Chair of Pedagogy, which demonstrated a significant decrease in their research activity for the second half of the 2021-2022 academic year. The problems affecting research motivation were identified: emotional state deterioration; slow Internet connection; difficulties with research organization (lack of a computer, laptop; impossibility to engage in research work due to lack of necessary living conditions; lack of scientific events in which it would be possible to present the results of one’s research; impossibility of conducting the experiment; destruction of archives; loss of collected material). The ways to improve PhD students’ motivation for research are proposed: strengthening consulting, informational, psychological support for PhD students; involving psychological service in providing PhD students with psychological support; organization of scientific events for approbation of postgraduate students’ research results and providing them with opportunities for creative self-realization; continuing the practice of holding scientific schools for PhD students; changing research topics and research supervisors and so on.

THE IMPACT OF BANK TRAITS VARIABLES ON THE LIQUIDITY HAZARD IN JORDANIAN COMMERCIAL BANKS

This study aimed to investigate the impact of bank traits variables on the liquidity hazard in Jordanian commercial banks. It used a panel data model to analyze the impact of core bank factors like profitability, capital, credit, size, and management quality on liquidity risk for thirteen Jordanian commercial banks while controlling for the regulatory and macroeconomic environment. The research motivation by the relatively large size of Jordan's commercial banks compared to other economic sectors and the unrest in the Middle East and North Africa region. The econometric results demonstrate that liquidity risk is negatively impacted by efficient management, while profitability positively impacts it. Finally, because of the interplay between the various elements, the influence of capital and credit on liquidity risk was ambiguous. The range of commercial banks' operations in Jordan, which include financing the nation's economic sectors through their function as financial intermediaries, underlines how crucial it is to protect them against liquidity threats.

Life cycle cost analysis of distributed versus centralized plastic sorting and recycling

Miniaturizing plastic recycling through distributed systems has been viewed as a way to manage waste closer to the source while minimizing logistics requirements. The environmental performance of distributed manufacturing and waste management systems has been evaluated, but few studies have measured the financial performance. This study combines life cycle costing and hybrid simulation modeling to compare the net present value of small-scale distributed versus large-scale centralized systems of sorting and recycling plastic bottles and takeaway containers disposed in Singapore over 7 years. The results showed that distributed systems face a net financial loss at existing prices of SGD80–120/tonne recycled pellets. This is because of the high operation costs, particularly the labor costs due to the reliance on manual sorting. Despite being closer to the waste sources, distributed scenarios have higher fuel costs due to the poorer fuel efficiency of commercial vans compared to the larger trucks in the centralized scenarios. To improve the financial performance of distributed small-scale plastic recycling systems, it is generally recommended that small-scale sorting facilities reduce the reliance on manual labor; the smaller trucks should have higher fuel economies than conventional large waste hauling trucks; the number of small-scale facilities set up should match the amount of waste to be converted; and the price of the recycled pellets should be high enough to recover the high operating costs of recycling. The findings of this study provide motivation for future research in evaluating the financial performance of distributed recycling of other waste streams. This article met the requirements for a gold-gold data badge JIE data openness badge described at http://jie.click/badges