Data Analysis Tools Research Articles

Quality Management System and Audit Quality: The Moderating Effect of Independent Audit Inspection in China

Research aim: This study examines the effect of quality management systems (QMS), in terms of leadership responsibility, relevant ethical requirements, human resource, engagement performance, and monitoring, on audit quality (AQ). Also, this study examines whether independent audit inspection moderates the relationship between QMS and AQ. Design/ Methodology/ Approach: A total of 414 external auditors working in Chinese accounting firms responded to the online survey questionnaires. Research finding: By using SmartPLS as a tool for data analysis, the results showed that all elements of the quality QMS have positive effect on AQ. However, it failed to establish the moderating effect of an independent audit inspection on QMS and AQ. Theoretical contribution/ Originality: This study contributes to elucidating the significance of QMS in promoting AQ, as well as shedding light on the ongoing debate regarding the impact of independent audit inspection on AQ. Practitioner/ Policy Implication: Public accounting firms and regulators should focus on improving QMS to ensure high audit quality.

Impact of Emotional Intelligence on Employee Work-Life Balance: A Study of Clinical, Non-Executive Level Employees in ABC Hospital (Pvt) Limited

The current study examines the impact of Emotional Intelligence (EI) on the Work-life Balance of Clinical, Non-Executive level employees in ABC Hospital (Pvt) Ltd. This study explored the relationship and examined the influence of those variables among non-executive level employees who work in a service Company in Sri Lanka. This research is a deductive (theory–testing) research. This research was conducted using survey research strategy and quantitative research method. Non-Executive clinical level employees of ABC Hospitals were chosen as the population of the study. A Simple random sampling technique was used calculate the sample size. Accordingly, sample size was 155 observations and used primary data as data source, data collection was done through a self-administered printed questionnaire. The number of employees who responded was 155 among 160 employees. Statistical Package for Social Science (SPSS), version 23.0 was used as the data analysis tool. The results indicate that emotional intelligence has significant direct effects on employee work-life balance. It can be concluded that self-management is the most impacted dimension of emotional intelligence in determining employee work-life balance. According to the hypotheses testing, there is a positive correlation between work-life balance and the dimensions of emotional intelligence. Parametric test including correlation and multiple linear regressions proves the results findings. There is a statistically significant relationship between emotional intelligence and the level of work-life balance. Management can take necessary actions to enhance the EI of their employees so that it will support them to have a proper work-life balance. Management needs to focus on the level of EI of their employees to enrich work-life balance to achieve higher level of productivity, commitment, and involvement.

Investigating the Factors of Green Purchase Intention on Green Cosmetics in Indonesia

Research aims to investigate the factors influencing the intention to purchase green cosmetics in Indonesia. The applied research method is quantitative and causal, utilizing a non-probability sampling technique with 300 respondents. Structural Equation Model (SEM) with Partial Least Squares (PLS) is employed as the data analysis tool. The study's findings indicate that the perception of behavioral control, epistemic value, and emotional value does not significantly influence the intention to purchase environmentally friendly cosmetic products in Indonesia. On the other hand, health awareness and environmental knowledge play a crucial role in shaping environmental attitudes. Subjective norms, environmental attitudes, functional price value, social value, and conditional value significantly impact the intention to purchase environmentally friendly cosmetic products. The implications of these findings offer insights to the cosmetics industry to align their marketing strategies with values that are more socially and environmentally oriented, aiming to enhance consumer intention to purchase green cosmetics in Indonesia.

Yüksek Öğretimde Yazılı Öğretmen Dönütünü Anlama Üzerine Bir Çalışma: İngilizce Öğretmen Adaylarının Düşünce, Duygu ve Performansları

This study aimed to explore pre-service English language teacher’s performance in revising their writing assignments based on written teacher feedback. Moreover, the participants’ perceptions and emotions were investigated in addition to their writing self-efficacy levels. A total of 15 pre-service teachers took part in the study. Data were collected through teacher written feedback, students’ drafts, an open-ended survey and a semi-structured interview with the participants. Both qualitative and quantitative data analysis tools were employed in the study. Quantitative data analysis results revealed that the participants were more successful in revising direct teacher feedback compared to indirect teacher feedback, and there was not a positive correlation between the participants’ feedback revision success and self-efficacy levels. The results of qualitative data analysis showed that the pre-service teachers were in favor of written teacher feedback and considered it a necessity for the L2 writing class. Moreover, they opted for indirect feedback and feedback on all errors. Finally, they experienced both positive and negative emotions although negative emotions were more prevalent.

The Influence of Hedonic Shopping Motivation, Fashion Involvement, and Sales Promotion on Impulse Buying in E-commerce Shopee

The marked phenomenon of the fashion industry causes a person to experience behavior by unconsciously buying something without thinking Long or often called impulse buying driven by positive emotions and motivations. In addition to this e-commerce shopee popular today often attempt to make consumer impuls buy behavior based on hedonic shopping motivation, fashion involvement, and sales promotion The objectives of this research are analyze the influence of hedonic Shopping motivation, influence fashion involving, and sales promotion on impuls buying on shopee e- commerce. This research employs a quantitative approach to examine the population of postgraduate and bachelor’s students at FEB University of Muhammadiyah Surakarta. Utilizing a purposive sampling technique, this study engaged 100 respondents meeting specific predetermined criteria. The primary data for this research were gathered through questionnaire-based data collection techniques. Smart PLS was utilized as the primary data analysis tool. The results of the analysis of research data show that: hedonic shopping motivation has a positive and significant influence on impulsive buying; fashion involvement has a positive and significant influence on impulsive buying; And sales promotion has a positive and significant impact on impulsive buying.

Assessing Student Satisfaction with Campus Canteen Services: A Descriptive Study

A canteen serves as a venue for the serving and consumption of food, where a diverse range of snacks and beverages are available for purchase. This purpose of the study was to examine student satisfaction with campus canteen services at People’s Campus. A sample of 123 randomly selected bachelor-level students was utilized, and a descriptive research design with mean as the primary data analysis tool was employed. Data were collected through a validated questionnaire. The findings revealed an overall mean rating of 3.28, indicating that the level of student satisfaction with the canteen was moderately satisfactory. These results suggested the need for addressing canteen quality to enhance service for its student customers.

Resistance and Gender in an EFL Classroom Interaction: A Critical Discourse Analysis

A classroom is not only a place for female learners’ learning and growth but also a place for enacting their knowledge, power, positioning, and resistance in their classroom interaction. As important social members, these learners bring the society-approved discourses that restrict their gendered roles in their classroom participation. Female learners, dominated by their social-historical-cognitive selves, mostly do not try to initiate a conversation or participate in that as they have to contest the status quo of male learners who particularly dominate the conversation process. Hence, they have to struggle to negotiate their position and identity by resisting the ‘boy discourses’ that delimit their equal participation. This study focuses on the reproduction of resistance and the struggle for achieving the equality dynamics of the female learners to participate in classroom discourses. Six female learners and two teachers were the research participants at a private university in Chattogram, Bangladesh. Kumaravadivelue’s (1999) critical classroom discourse analysis (CCDA), van Dijk’s (2003; 2016) socio-cognitive and Wodak’s (2009) historical-cognitive model and Braun and Clerk’s (2006) thematic analysis approach had been used here as an analytical framework and for data analysis tool. Structured focus group interviews and classroom observation were the tools used for generating data that gave the impression that female learners use both active and passive resistance that happens due to the existing micro and macro factors surrounding them. Moreover, their historical, social, and cognitive positioning and struggle for negotiating power and identity gave them the insight that the classroom served both as a learning and growing space for them. This study contributes to the budding research on female learners’ being and becoming an identity in a powerful classroom interaction that can infl uence them beyond the classroom.

ANALISIS POTENSI EKONOMI KABUPATEN SUMBAWA TAHUN 2016-2021

This study aims to determine the potential of the economic sector which can be used as a base or superior economic sector in Sumbawa Regency District. This study used a descriptive method with the type of data used was quantitative data in the form of Gross Regional Domestic Product of Sumbawa District data for 2016-2021 from all existing economic sectors. This data was obtained from published documents or archives of the Sumbawa District Central Statistics Agency. The data analysis tool used was the analysis technique of location quotient (LQ) analysis, shift share analysis, and klassen typological Analysis. Based on the results of the LQ analysis, it shows that there are seven economic sectors in Sumbawa Regency which have an LQ value greater than 1 (>1) so that they can be used as base or superior sectors in Sumbawa District, but there are only four economic sectors in Sumbawa District those in quadrant I, namely sectors that are relatively advanced and growing rapidly (developed sectors), are the agriculture, forestry and fisheries sectors; electricity and gas procurement sector; wholesale and retail trade sector, car and motorbike repair; and the government administration, defense and mandatory social security sectors. These sectors have a very large contribution in forming Sumbawa District GRDP and if managed well these sectors will continue to be growing sectors in the future.

THE INFLUENCE OF SERVICE QUALITY AND FACILITIES ON CUSTOMER SATISFACTION IN FORMING CUSTOMERS LOYALTY IN SBU FACTORY MAINTENANCE SERVICES (JPP) OF PT. PUPUK ISKANDAR MUDA

This study examined and analyzed the effect of service quality and facilities on customer satisfaction in forming customer loyalty at SBU Factory Maintenance Services (JPP) of PT Pupuk Iskandar Muda. This study used primary data obtained by distributing questionnaires to all customers, as many as 85 respondents, with 23 questions asked using five Likert scales (strongly agree-strongly disagree). The data analysis tool used was SmartPLS. The results showed that service quality significantly and positively affected customer satisfaction and customer loyalty, and facilities significantly and positively influenced customer satisfaction and customer loyalty. Meanwhile, customer satisfaction negatively but significantly affected customer loyalty. The results of hypothesis testing show that service quality and facilities directly affected customer loyalty. Meanwhile, the test results indirectly revealed that customer satisfaction partially mediated service quality on customer loyalty.

Implementation of a Business-to-Government (B2G) Sales Analytics Tool - Hermix

The public sector sales market, i.e. Business-to-Government (B2G) market is large and relevant. It is similar, yet differs in several key aspects from other markets such as retail, consumer (B2C), or Businessto-Business (B2B). B2G is huge, at 2 trillion Euro per year in Europe, but insufficiently researched and it lacks proper tools and methods. Public contracts are difficult to access and require specialized expertise and a significant initial investment. This paper explores the implementation and evaluation of an IT platform that supports and automates public sector sales, Hermix, in a large company. This study had a qualitative longitudinal approach. It consisted of 7 workshops and 2 interviews with 8 case study participants, performed over the duration of a year. It highlights the implementation steps and results. Hermix automated a set of public sector sales processes for the host company, including: tender monitoring with email notifications, opportunity qualification, and market research, i.e. the analysis of the tactical and strategic context: buyers (public authorities), budgets, competition, partnership affinities, groups of interest, trends. It uses advanced data analytics, big-data and machine learning to provide market intelligence such as governmentgraphics, firmographics, geographics and monetary segmentation. Implementing public sector sales automation tools provides direct benefits to companies, related to: cost and time efficiency, improved proposal success rates, and strategic planning optimization. Indirect benefits for companies refer to delivery quality. Data analytics tools also support overall public procurement transparency, public spending efficiency and better public governance.

A digital taxation model for Nigeria: standardizing collection through technology integration

This paper introduces a digital taxation model for Nigeria, aimed at standardizing tax collection through advanced technology integration. The model addresses the critical need for modernizing Nigeria’s tax administration to enhance efficiency, accuracy, and compliance in tax collection processes. By leveraging digital technologies, the proposed model seeks to streamline tax administration, reduce manual errors, and improve overall tax revenue management. The model advocates for the implementation of a comprehensive digital tax infrastructure, including the development of an integrated tax management system, digital payment platforms, and real-time data analytics tools. This approach emphasizes the use of application programming interfaces (APIs) for seamless interaction between tax authorities, financial institutions, and taxpayers, ensuring a unified and efficient tax collection system. Blockchain technology is proposed to enhance transparency and traceability, providing an immutable ledger for all transactions, which helps in mitigating fraud and increasing taxpayer confidence. The digital taxation model also includes automated compliance monitoring and reporting systems that utilize artificial intelligence (AI) for predictive analytics and risk assessment. These systems are designed to identify discrepancies, flag potential non-compliance issues, and provide actionable insights to both tax authorities and businesses. Additionally, the model emphasizes the importance of taxpayer education and support, advocating for user-friendly digital platforms and resources to facilitate smooth adoption and compliance. Expected outcomes of the model include increased tax revenue through improved compliance and reduced tax evasion, enhanced operational efficiency for tax authorities, and a more transparent and equitable taxation process. By aligning with global best practices and integrating cutting-edge technologies, the digital taxation model aims to transform Nigeria’s tax administration landscape, fostering a more robust and reliable financial system.

Data-Driven Decision Making in Supply Chain Management

The importance of making decisions in supply chain management (SCM) based on data has grown significantly in recent years due to the quickly changing nature of the modern corporate environment. Within the scope of this abstract, the transformational influence of data analytics on supply chain management is investigated. Particular attention is paid to the ways in which data-driven strategies improve decision-making processes, increase operational efficiency, and boost competitive advantage. The coordination of a number of operations, including as distribution, manufacturing, inventory management, and procurement, is an essential part of supply chain management. In the past, these processes were handled by the use of intuition and facts from the past. But the introduction of sophisticated data analytics tools has completely changed the way that this approach is taken. Organisations are able to improve their operations, acquire deeper insights into the dynamics of their supply chains, and more correctly estimate demand when they make use of real-time data, predictive analytics, and machine learning algorithms.

Pengaruh Iklim Etika terhadap Kinerja Karyawan

Purpose: This study aims to determine the effect of the ethical climate, which consists of collective moral sensitivity (moral awareness and empathic concern), collective moral judgment (self-focused and focus on others), and collective moral motivation on employee performance in private tertiary institutions in Bandar Lampung. Methodology/approach: This study uses primary data from the results of a questionnaire with a Likert scale. This quantitative research distributed questionnaires to 245 respondents from private universities in Bandar Lampung. The data analysis tool used was linear regression analysis with SPSS 25. Results/findings: The study's results show that collective moral sensitivity (moral awareness and empathic concern) does not affect performance, while collective moral judgment (focus on oneself and focus on others) and collective moral motivation affect performance. Conclusion: Based on the findings of this study, it is hoped that the leaders of private higher education can provide leadership and ethics training, build organizational member trust, build a culture of inclusiveness and proactivity, and improve a sense of belonging among organizational members.

Social constructs of the coastal fante festival performance costumes and sculptural objects in Ghana: An indigenous knowledge system and practice

The focus of this qualitative case study was to explore the intricate relationship between Coastal Fante Festival performance costumes, sculptural objects, and the indigenous knowledge system and practices of the coastal dwellers, who reside in the central coastal regions of Ghana. To explore the social constructs of Coastal Fante Festival performance costumes and sculptural objects comprehensively, this study employed a multidisciplinary approach, combining ethnography, archival research, and artisan collaboration in the geographical context of Winneba and Cape Coast. The unstructured interview and direct observation were the instrumentations used for the data collection. The interpretative phenomenological analysis (IPA) and visual data analysis tools garnered from sixteen (16) research participants using purposive (expert) and simple random sampling techniques allowed for a holistic understanding of the cultural, historical, and societal dimensions of these costumes and sculptural objects within the Central region coastal community, shedding light on their role as living embodiments of indigenous knowledge and cultural practice. The study revealed that these costumes hold profound cultural significance, symbolizing historical events, social identities, behaviour, codes and spiritual connections within the community. As a result of these social constructs, enculturation and inculturation were achieved, materialising cultural identity, defining mood (attitude), enhancing performer welfare, and addressing issues of history were addressed through performance costumes and sculptural objects. The generation should see these costumes with sculptural objects as a living embodiment of indigenous knowledge and cultural practice, enriching the understanding of Fante culture and its significance in a global context.

Bibliometric and Qualitative Analysis of Workload Studies in the Maritime Sector

Maritime traffic is a socio-technical system that requires the collaboration of many elements such as stakeholders, equipment, environment, and technology. The workload for stakeholders in marine traffic has increased due to the growing number of monitored ships in coastal areas, as well as the variety and amount of operations. This study aims to conduct a comprehensive analysis of workload studies conducted in the maritime domain, encompassing all stakeholders. In doing so, the goal is to reveal changes over the years, identify collaborative areas, and enhance the understanding of the concept. The Scopus and Web of Science (WoS) databases were used as the data collection tool. A search was conducted with keywords associated with the concept of 'workload in maritime,' leading to the analysis of 372 relevant documents. VOSviewer Bibliometric Data Analysis Tool and MAXQDA Analytics Pro 22 Software were employed in the analyses. After the data from the two databases were combined, it was found that the authors with the most publications (P) and citations (C) in this field are Murai K. (P-41; C-200), Hayashi Y. (P-30; C-196), and Okazaki T. (P-15; C-82). With 56 publications, Japan is in first place, followed by the US (39), China (35), and the UK (27). Additionally, Japan and the US are two countries in collaboration. Among the commonly used terms in this research are mental workload, vessel, safety, performance, human factors, tiredness, simulator, and physiological measuring techniques including heart rate, nasal temperature, EEG, and salivary amylase. In workload studies, psychosocial variables were most prominently expressed in 2021. While the analysis of workload studies indicates a focus on “mental workload” studies involving Vessel Traffic Services Operators (VTSOs), research related to seafarers, cadets, marine pilots, and ship masters is seen to dominate this field which is “bridge team”.

Implementation of digital gis models in desktop applications developed on the basis of the «QT» framework

This article explores the implementation of digital geoinformation systems (GIS) models in desktop applications using the Qt framework. This highlights the importance of GIS technologies in various fields and the need for powerful desktop applications capable of efficiently processing spatial data. Integration of GIS models into Qt-based applications provides a number of advantages, such as efficient data management, spatial analysis and user-friendly interfaces. The article highlights the cross-platform compatibility of the Qt framework, which allows you to deploy GIS-enabled applications on multiple operating systems. In conclusion, it should be noted that the introduction of digital GIS models into desktop applications developed using the Qt framework provides significant benefits to both developers and users. This allows users to access, analyze and visualize geospatial data, thereby improving decision-making processes. The combination of GIS and Qt capabilities allows developers to create reliable and user-friendly applications to meet the growing demand for spatial data management and analysis tools. The list of sources used includes links to the official Qt and Esri websites, as well as relevant publications related to integration, GIS and noise mapping using ArcGIS.

Pengaruh Label Halal, Kualitas Produk dan Merk terhadap Minat Pembelian Skincare Artha

Cosmetic products are one of the growing halal beauty products in Indonesia. Currently, the use of cosmetics is almost a primary need for women. The existence of opportunities in the cosmetics industry encourages various halal-labeled cosmetic manufacturers to innovate. This is done by producers to attract interest or meet consumer needs. Based on observations made in Robatal District, Sampang Regency, there is quite a lot of public interest in Skincare Artha, so this research will examine the aspects that influence public interest in Robatal District, Sampang Regency as consumers of Skincare Artha which includes aspects of halal labeling, product quality and brand. This study aims to determine the effect of halal labeling, quality and brand on purchasing Skincare Artha in Robatal District, Sampang Regency, while the independent variables are halal labeling, quality and brand. The data in this study were collected through questionnaires distributed to consumers who have bought and used Artha skincare in Robatal District, Sampang Regency. The research method used is quantitative. The population in this study are people in Robatal District, Sampang Regency who have bought or used Artha's skincare. With the data collected totaling 100 respondents. The data analysis tool used in this study uses multiple linear regression. The results of this study indicate that the halal label, quality and brand variables have a positive and significant effect on the purchase of Artha skincare in Robatal District, Sampang Regency.

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Automation of digital elevation model analyzing when solving problems of economic development of karst territories

The combination of geographic information systems (GIS) and remote sensing data analysis tools will make it possible
 to assess in a short time and with high accuracy the suitability of an area for the construction of land or linear structures in the
 areas where dangerous geological processes are developed. In this article we use the example of karst area in Kisherstky district
 of Perm region as an example to carry out the karts hazard zoning of the territory according to geomorphological indicators by
 analyzing ALOS-DEM digital elevation model (DEM). Patterns in the distribution of karst forms in the study area were evaluated
 depending on the dissection of the relief, its slope and distance from the watercourses. Based on the patterns, an integral map
 was constructed. The approach allows to do zoning the territory with respect to the studied danger geological process in a short
 time and with high accuracy, which is due to the use of patterns of forms distribution in the analysis.

Application of User Experience Questionnaire Method to Evaluate Customer Experience When Conducting Transactions with Digital Wallets

The purpose of this study is to determine how to use the user experience questionnaire (UEQ) to assess the digital wallet user experience. This research employs a quantitative methodology. In order to collect data for this study, surveys, observation, and literature reviews were used. All of the participants in this study are users of digital wallets. In this study, 100 samples were drawn using simple random sampling as the sampling technique. The two types of data analysis were statistical analysis and demographic analysis. The author examined demographic information first. Second, the author used the UEQ Data Analysis Tool to perform statistical analysis. Testing for validity and reliability was done at this point. The discussion's outcomes allow for the following deductions to be made: This study was successful in assessing how digital wallets performed across the board on the user experience questionnaire (UEQ). Based on evaluation findings using UEQ, this research was successful in offering suggestions for enhancing the user experience in digital wallets. The attractiveness and novelty parts of the user experience are the areas that are advised to be improved upon, since they continue to receive below-average benchmark scores.