Emerging Science Journal (ESJ)
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Human Resource Management across Generations within the Context of World of Work 4.0
Get PDFThe aim of the paper is to evaluate the expectations of cohorts of workers from Generations X, Y, and Z with regards to their perceptions of what a "good workplace" is. Two research questions were formulated accordingly. Respondents representing workers from Generations X, Y, and Z, from Italy and Austria, were asked to consider and rate (on a 1-5 scale) eighteen criteria on work environment and managerial approach. Multi-sample testing was applied during processing with the ANOVA and Shapiro-Wilk and the Kruskal-Wallis test was subsequently used for multi-sample testing. The findings show that the most popular criterion for all three generational cohorts is "good work atmosphere", followed by "all employees are valued, treated, and rewarded fairly". Interestingly, generational differences were observed for "customer orientation", which was more important for Generation X, and "autonomous organization of work (time)", which was more important for Generations Y and Z. The most surprising result was the significance of corporate image, with less than 4% identifying this as an important issue across all three generations. These findings can help human resource managers create appropriate working environments and motivational tools that meet the real expectations of employees. Doi: 10.28991/ESJ-2023-07-03-013 Full Text: PD
The Value of Design Thinking for PhD Students: A Retrospective Longitudinal Study
Get PDFDoctoral studies are changing worldwide, with growing concerns about doctoral graduates' employability and ability to develop relevant links with industrial challenges. The present study aims examine the impact of Design Thinking skills on PhD students on their future academic and professional performance. Drawing on 7 years of pedagogical experimentation, we conducted a mixed methods longitudinal study to investigate the perceptions of students who attended a two-day Design Thinking workshop. Two questionnaires, with a total of 40 items measuring the quality and course impact dimensions, were given to 415 and 41 students, respectively. Finally, 12 students were chosen for in-depth interviews to learn more about how they applied their newly acquired design thinking skills in their research and work. Our findings show that developing Design Thinking skills impacts the professional lives of students of all fields of knowledge, ages, and stages of their PhD. The primary outcomes mentioned are associated with increased creative confidence and collaboration abilities. This study focuses on relevant dimensions for designing and delivering Design Thinking skills within doctoral programmes, as well as the impact of design thinking on the quality of PhD education and student employability opportunities. Doi: 10.28991/ESJ-2023-SIED2-02 Full Text: PD
The Fundamental Strategies that will Drive Higher Educational Sector Towards Digital Transformation in Industry 4.0
Get PDFDigital transformation is the coordination of digital technologies with organizational aspects and human variables in a specific setting. It goes beyond simply implementing a technology solution. Additionally, it calls for the thoughtful and complete application of digital technology to the creation of new skills and theoretical frameworks. The goal of the current study is to examine the basic practices that will propel Industry 4.0's digital transformation of the educational sector. Utilizing a qualitative research approach that included a comparison and analysis of the relevant body of earlier work, the study discovered that digital transformation in education can be driven by several factors, including campus safety, data security, student achievement, strategy, data enablement, student-cantered services, cost and availability, digital integration, and artificial intelligence. The study concluded with a variety of strategies that can aid in the digital transformation of universities and other institutions of higher learning, like establishing a solid foundation for information and communication technology systems and delivering cyber security that is up to date with current best practices, among the many strategies suggested. Doi: 10.28991/ESJ-2023-SIED2-010 Full Text: PD
Impact of COVID-19 on Oil and Gas Sector in Nigeria: A Condition for Diversification of Economic Resources
Get PDFA plethora number of literature advocates for economic diversification in Nigeria in order to address its socio-economic challenges. The advent of the COVID-19 pandemic has exemplified this viewpoint even further, as it has had a severe impact on many parts of the Nigerian economy while the federal government scrambles for revenue to fulfill national expenses. However, observation reveals that little attention is paid to the influence of COVID-19 on the oil and gas sector, despite the necessity to diversify economic resources for human capital development. The purpose of this research is to investigate the influence of COVID-19 on the Nigerian oil and gas sector. Problems are recognized and solutions are proposed through the textual analysis of literature. According to the research, COVID-19 has a negative influence on the oil and gas business in Nigeria due to Nigeria's overreliance on oil resources as a key source of national revenue, among other issues. As a result, the study emphasized the need for and importance of diversifying the nation's economic resources by focusing more attention on sectors such as SMEs that are aided with protection and promotion, as well as the agricultural sector, which incorporates technology and scientific input as a driving force for improvement. If adopted, diversification will address numerous difficulties such as poverty, which affects the majority of inhabitants, unemployment, mounting foreign debt, and the massive importation of products and services into the country due to a lack of economic diversification. According to the report, the Nigerian government should invest extensively in small and medium-sized firms (SMEs) and agricultural investment in order to overcome the economic challenges caused by COVID-19's detrimental influence on the economy. Doi: 10.28991/ESJ-2023-SPER-019 Full Text: PD
Advanced Genetic Programming vs. State-of-the-Art AutoML in Imbalanced Binary Classification
Get PDFThe objective of this article is to provide a comparative analysis of two novel genetic programming (GP) techniques, differentiable Cartesian genetic programming for artificial neural networks (DCGPANN) and geometric semantic genetic programming (GSGP), with state-of-the-art automated machine learning (AutoML) tools, namely Auto-Keras, Auto-PyTorch and Auto-Sklearn. While all these techniques are compared to several baseline algorithms upon their introduction, research still lacks direct comparisons between them, especially of the GP approaches with state-of-the-art AutoML. This study intends to fill this gap in order to analyze the true potential of GP for AutoML. The performances of the different tools are assessed by applying them to 20 benchmark datasets of the imbalanced binary classification field, thus an area that is a frequent and challenging problem. The tools are compared across the four categories average performance, maximum performance, standard deviation within performance, and generalization ability, whereby the metrics F1-score, G-mean, and AUC are used for evaluation. The analysis finds that the GP techniques, while unable to completely outperform state-of-the-art AutoML, are indeed already a very competitive alternative. Therefore, these advanced GP tools prove that they are able to provide a new and promising approach for practitioners developing machine learning (ML) models. Doi: 10.28991/ESJ-2023-07-04-021 Full Text: PD
University Students' Rejection to Learning Statistics: Research from a Latin American Standpoint
Get PDFIntroduction: Negative beliefs, fear, avoidance behaviors, and superficial attitudes surrounding the learning of statistics create significant problems for university students in Latin America. Objective: To analyze the impact of fearful behavior, superficial work, and avoidance displayed by university students when it comes to statistics. Method: In this article, we give details about a quantitative research project carried out by two independent studies. The first (N = 310) focused on the development of a scale to assess negative beliefs, fears, and avoidance behaviors towards statistics, in which goodness of fit was determined in a 3-factor model. In the second study (N = 250), it was hypothesized that undergraduates perform superficially due to negative beliefs and avoidance behaviors when learning statistics. Findings: The proposed model explained 42% of the variance. In addition, in the analysis of the proposed mediation model, an adequate adjustment was found. In the discussion of this research project, the need to intervene in the negative beliefs, fears, and avoidance behaviors displayed by university students towards statistics is highlighted. Novelty:This research project explains why college students dislike or avoid learning statistics in depth. The findings will allow for a modification in the way statistics is taught so that Latin American professionals achieve better performance in this field. Doi: 10.28991/ESJ-2023-SIED2-07 Full Text: PD
ARL Evaluation of a DEWMA Control Chart for Autocorrelated Data: A Case Study on Prices of Major Industrial Commodities
Get PDFThe double exponentially weighted moving average (DEWMA) control chart, an extension of the EWMA control chart, is a useful statistical process control tool for detecting small shift sizes in the mean of processes with either independent or autocorrelated observations. In this study, we derived explicit formulas to compute the average run length (ARL) for a moving average of order q (MA(q)) process with exponential white noise running on a DEWMA control chart and verified their accuracy by comparison with the numerical integral equation (NIE) method. The results for both were in good agreement with the actual ARL. To investigate the efficiency of the proposed procedure on the DEWMA control chart, a performance comparison between it and the standard and modified EWMA control charts was also conducted to determine which provided the smallest out-of-control ARL value for several scenarios involving MA(q) processes. It was found that the DEWMA control chart provided the lowest out-of-control ARL for all cases of varying the exponential smoothing parameter and shift size values. To illustrate the efficacy of the proposed methodology, the presented approach was applied to datasets of the prices of several major industrial commodities in Thailand. The findings show that the DEWMA procedure performed well in almost all of the scenarios tested. Doi: 10.28991/ESJ-2023-07-05-020 Full Text: PD
Economic and Mathematical Modeling for the Process Management of the Company's Financial Flows
Get PDFThis paper presents an analysis of existing methods and models designed to solve the problem of planning the distribution of financial flows in the operational management cycle of the enterprise; it also offers tools for process management of enterprise financial flows based on the method of dynamic programming, which allows for determining the optimal combination of factors affecting the financial flow of the enterprise, taking into account existing restrictions on changes in the influencing parameters of the model. The current study develops an innovative model that maximizes the economic efficiency of investment in the sale of food products through retail chains and the practical implementation of the developed model based on the data from the financial reports of LLC "Kraft Heinz Vostok". The theoretical and methodological basis of the research includes the works of Russian and foreign experts in the fields of methodology of economic and mathematical modeling and decision-making, dynamic programming, system analysis, information approach to the analysis of systems, process management of enterprise financial flows, and human resource management. The author's methodology makes it possible to increase the company's profitability in key clients and categories in the range of 4 to 6 million dollars and to increase the return on investment by 10–17%. The scientifically innovative aim is to develop a toolkit for process management of enterprise financial flows, characterized by a systematic combination of methods of dynamic programming, social financial technologies, and economic evaluation of investments, which allows for the creation of mechanisms for managing the development of enterprises of all organizational and legal forms and the development of model projects of decision support systems with the prospects of their incorporation into existing information and analytical systems. Doi: 10.28991/ESJ-2023-07-03-017 Full Text: PD
The Effect of Physical Cues on Customer Loyalty: Based on the Mediating Effect of Customer Engagement and Value Co-creation
Get PDFAs a new business model, e-commerce live broadcasting has great value in the commercial field. Based on value co-creation theory and the stimulus-organic-response model, this study explores the influence of physical cues in e-commerce live broadcast scenes on customer loyalty. Using the audience of China's e-commerce live broadcasting platform as the research object, 404 valid data points were collected through a questionnaire survey, and a structural equation analysis model was adopted to explore the relationship among the physical clues of the e-commerce live broadcasting scene, customer engagement, value co-creation, and customer loyalty and to verify the mediating effect of customer engagement and value co-creation. The research shows that aesthetic appeal, layout, and function have a positive impact on customer engagement, but financial security has no positive impact on customer engagement. In addition, value co-creation has an intermediary effect, and customer engagement and value co-creation have a double intermediary effect on physical cues and customer loyalty in e-commerce live broadcast scenes. The research not only expands the theory of value co-creation and scene but also provides practical reference value for e-commerce live broadcasting platforms and enterprises and promotes the design of physical cues in e-commerce live broadcasting scenes to improve customer loyalty. Doi: 10.28991/ESJ-2023-07-04-020 Full Text: PD
Improving Sensitivity of the DEWMA Chart with Exact ARL Solution under the Trend AR(p) Model and Its Applications
Get PDFThe double exponentially weighted moving average (DEWMA) chart is a control chart that is a vital analytical tool for keeping track of the quality of a process, and the sensitivity of the control chart to the process is evaluated using the average run length (ARL). Herein, the aim of this study is to derive the explicit formula of the ARL on the DEWMA chart with the autoregressive with trend model and its residual, which is exponential white noise. This study shows that this proposed method was compared to the ARL derived using the numerical integral equation (NIE) approach, and the explicit ARL formula decreased the computing time. By changing exponential parameters that were relevant to evaluating in various circumstances, the sensitivity of AR(p) with the trend model with the DEWMA chart was investigated. These were compared with the EWMA and CUSUM charts in terms of the ARL, standard deviation run length (SDRL), and median run length (MRL). The results indicate that the DEWMA chart has the highest performance, and when it was small, the DEWMA chart had high sensitivity for detecting processes. Digital currencies are utilized to demonstrate the efficacy of the proposed method; the results are consistent with the simulated data. Doi: 10.28991/ESJ-2023-07-06-03 Full Text: PD