Quantitative Methods Research Articles

Determinants and impacts of supply chain responsiveness: an empirical research

PurposeThe aim of this study is to identify the factors affecting supply chain responsiveness. Additionally, it investigates the relationships between supply chain responsiveness, customer satisfaction and competitive power.Design/methodology/approachA quantitative method was adopted. Data were collected from 290 companies operating in Turkey and tested with structural equation modeling.FindingsThe results show that supply chain responsiveness is related to continuous process improvement, supplier integration and environmental uncertainty but not to customer integration. The findings also present relationships between supply chain responsiveness, customer satisfaction and competitive power.Practical implicationsThe findings indicate that decision-makers should invest in continuous process improvement and supplier integration. They also need to understand that their supply chain responsiveness depends on the environmental dynamism of their sectors, and they must direct their efforts accordingly. Finally, decision-makers wishing high customer satisfaction and competitive power must value supply chain responsiveness and take necessary actions to achieve it.Originality/valueA literature review for this study indicated very limited empirical evidence of the relationship between continuous process improvement, supplier integration, customer integration, environmental uncertainty and supply chain responsiveness. Similarly, there was a quest for more research on the relationships between supply chain responsiveness, customer satisfaction and competitive power. This work will enhance the literature by adding knowledge in these areas.

The Impact Of Price And Brand Image On Consumer Loyalties Of Singkong Moro Crips On The Housing Industry In Sari Lampung East Sources Village

The research aims to find out the impact of packaging, price and brand image on loyalty. Supposed packaging, price and brand image. The study used quantitative research methods, with a total of 97 respondents. Sampling using non-probability sampling techniques with random sample methods. The data analysis techniques used are Data Quality Test, Classical Assumption Test, Double Linear Regression Analysis, Hypothesis Test and Determination Coefficient Test. Based on calculations with some of these techniques and tests, it is known that the packaging individually has no influence on consumer loyalty. While price and brand image have a positive and significant influence on consumer loyalty.

Towards sustainable development at full-service restaurants in west Malaysia

The food and beverage sector played a big part in contributing to the economic growth in Malaysia hence there was a major increase in the numbers of restaurants opening up for businesses. This study therefore examines factors with the aims of ensuring a sustainable development in full-service restaurants in West Malaysia. The results of this study have made a substantial contribution to restaurant owner’s’ comprehension of the fundamental components that underlie customer satisfaction and loyalty. By examining the moderating effect of the customer’s gender in full-service restaurants in West Malaysia, the objective of this study was to ascertain the relationships between the three variables (quality of the food served at the restaurant, service quality, and environment), as well as the degree to which each attribute was able to relate to diner satisfaction. The underpinning theory for this study was the Theory of Planned Behavior (TPB). Quantitative methods according to descriptive research and convenience sample strategy were utilized in this cross-sectional study. Questionnaires were distributed to 264 respondents through various online platforms such as WhatsApp, Telegram, Facebook, and email. Data collection was evaluated using the Statistical Program for Social Sciences (SPSS) version 27. In order to examine the connection between the three factors and diner’s satisfaction, various tests such as the multiple regression analysis, One-way ANOVA and Beta Coefficient test were carried out. The findings gave current restaurant owners and potential restaurant owners an overview of the different attributes influencing diner’s satisfaction at full-service restaurants in West Malaysia and also the extent of the moderating effect of diner’s gender had on each attribute. The outcome of this paper is expected to provide a sustainable growth in this industry.

Embracing the complexity of lived experiences in psychiatry research: Reflexivity, cultural sensitivity, and emergent design

This article examines the critical integration of reflexivity, cultural sensitivity, and emergent design in qualitative psychiatry research focused on lived experiences. While quantitative methods offer essential clinical insights, qualitative approaches provide a deeper understanding of the emotional, psychological, and social dimensions of mental health. Reflexivity enables researchers to remain aware of how their personal biases and professional backgrounds shape data interpretation. Cultural sensitivity ensures that mental health conditions are understood within their broader cultural contexts, helping avoid misrepresentation and promoting authentic participant expression. Emergent design offers flexibility in adapting the research process to evolving themes, particularly in the dynamic and multifaceted realm of psychiatric conditions. Together, these principles promote ethically sound, participant-centered research that captures the full complexity of lived experiences. The article also highlighted the practical implications of these principles for enhancing both academic knowledge and clinical practice in psychiatry.

Adaptation of Artificial Intelligence Literacy Scale into Turkish: A Sample of Pre-Service Teachers

This study aims to adapt the Artificial Intelligence Literacy Scale translated by Wang et al. (2023) into Turkish and create a scale suitable for assessing the artificial intelligence literacy of pre-service teachers. The study used the survey method within the scope of the quantitative method. The sample of the study consisted of 440 pre-service teachers from a state university in the Eastern Anatolia Region of Turkey. The original scale consists of 12 items, 4 factors, and a 5-point Likert-type structure. In the first stage, we conducted translation studies to assess the language validity of the adapted scale. Then, the data collected from the part of the sample determined for EFA (Exploratory Factor Analysis) were analyzed. The results show that the adapted scale preserves the original scale structure. The data collected from the part of the sample designated for CFA (confirmatory factor analysis) was also analyzed. The results of the analysis show that the scale has acceptable and good-fit indices. In terms of reliability, Cronbach Alpha reliability coefficients show that the scale has a reliable structure. The results of the analysis indicate that the scale adapted into Turkish has a valid and reliable structure.

Factors associated with access to health services among people with long COVID in the Brazilian Amazon

BackgroundAccess to healthcare services for the population with long COVID is a challenge, as healthcare systems have been tasked with responding effectively to the extensive clinical heterogeneity of this disease.ObjectiveTo analyze the factors associated with access to health services among people with long COVID in the Brazilian Amazon.MethodsThis is a cross-sectional study using a quantitative method, conducted through an online survey between May 2023 and January 2024. The study included participants aged 18 years or older, residing in the northern region of Brazil, with a confirmed diagnosis of COVID-19 and who experienced long COVID. Participants completed an adapted version of the questionnaire on the Research Electronic Data Capture platform. Data were analyzed by multiple logistic regression.ResultsA total of 364 people with long COVID participated in the study, of which only 167 (45.88%) had access to healthcare to treat the symptoms of this clinical condition. In the final multiple logistic regression model, only factors related to the need for services were associated with healthcare access. Participants with symptoms of dermatological alterations (AOR = 2.57; p = 0.01), a pre-COVID-19 diagnosis of chronic disease (AOR = 5.62; p = 0.04), those who treated their most severe COVID-19 infection with the assistance of a healthcare professional (AOR = 4.97; p = 0.01), and those who used antibiotics during their most severe COVID-19 infection (AOR = 3.24; p = 0.01) were more likely to access healthcare services for treating long COVID.ConclusionFactors related to the need for services were the only ones associated in this population. It is important to know these aspects to identify the most affected populations and propose measures.

Gas Chromatography-Tandem Mass Spectrometry Method for Analyses of Iodoform and Diiodomethane in Multiple Biological Matrices from Dairy Cattle.

A quantitative method was developed and validated to analyze iodoform and its potential metabolite, diiodomethane, in biological fluids from dairy cows, including rumen fluid, duodenal fluid, blood serum, milk, and urine, using liquid-liquid extraction (LLE) and GC-MS/MS. The method showed no matrix effects across different samples, recoveries of spiked samples between 70 and 120%, and relative standard deviations (RSD%) ranging from 0.7 to 14%. Inter- and intravariations in quality control samples were within 3.1-12.3%, with the highest variation noted in iodoform spiking. Normalized internal standard (IS) and matrix factor (MF) calculations confirmed the suitability of diiodomethane-d2 as an internal standard for quantifying both compounds across different matrices. These results validate the method's application for ADME (absorption, distribution, metabolism, and excretion) studies, enabling the investigation of iodoform digestion, metabolism, and excretion in dairy cattle.

The effect of Trichoderma asperellum with reduced rates of inorganic fertilizer for growth and yield of carrot

This study was aimed to use Sri Lankan isolate Trichoderma asperellum in combination with reduced rates of chemical fertilizers to evaluate their efficiency as biofertilizer for the growth and yield characters of carrot. Inorganic phosphate sources like Eppawala rock Phosphate (ERP), Tri Calcium Phosphate (Ca3(PO4)2), Ferric Phosphate (FePO4) and Aluminum phosphate (AlPO4) solubilizing capacity of the isolate was estimated by using qualitative and quantitative methods. The pot experiment was carried out in Completely Randomized Design (CRD), consisting of six treatments and four replications. The Treatments were namely T1 (No Fertilizer), T2 (100% NPK - DOA Recommendation), T3 (50% P + N + K), T4 (50% P + Trichoderma asperellum + N + K), T5 (75% P + N +K) and T6 (75% P + Trichoderma asperellum + N + K). The results of qualitative estimation of Trichoderma asperellum exhibit good mycelial growth in the inorganic phosphate enriched media while the quantitative estimation results showed the variable potential of the Trichoderma asperellum to solubilize inorganic phosphates. According to the results of the pot experiment, significantly (P < 0.05) better results of growth and yield parameters were observed from treatments T6, T4 and T2. The results of the present study reveals that Sri Lankan isolate Trichoderma asperellum can be a growth and yield promoter and can be used as a biofertilizer to reduce the usage of costly and environmentally toxic inorganic fertilizer.

Influence of Manaoag Church in Tourist Motivation towards Religious Tourism

This research delves into the aspects of Religious Tourism. In the Philippines, the abundance of religious sites and activities plays an important role in fostering pilgrimage and enhancing the significance of religious tourism. This study examines the influence of Manaoag Church on tourists’ travel motivation. The primary aim of this study is to know the influence of Manaoag Church on tourist motivation towards Religious Tourism. A descriptive research approach and quantitative method were used for this study. In addition, the researchers conducted a convenience sampling survey with a total of 400 respondents, specifically 400 tourists visiting Manaoag Church. The study adapts the theory of Icek Ajzen – Theory of Planned Behavior and John Crompton – Destination Image Theory. The TPB is utilized to explore the motivations that drive tourists to visit the Manaoag Church, focusing on how attitudes, subjective norms, and perceived behavioral control influence their intentions. Concurrently, Destination Image Theory is applied to assess how the Manaoag Church influences tourist motivations through beliefs, emotions, and behaviors. Based on the results, the researchers were able to identify the motivation of the tourists to visit Manaoag Church regarding leisure, perceived benefits, perceived risks, family and peer influence, religious community influence, accessibility of religious sites, financial resources, and previous experience. It showed that the majority of the visitors were females who are 21–30 years old, who are Roman Catholic and visited the site 1-3 times per year. It was also revealed that there was no significant difference in the respondents’ assessment of the influence of Manaoag Church in the tourist motivation towards religious tourism when grouped according to frequency of visit in terms of beliefs, emotions, and behavior. In other words, whether a respondent has visited the church once, several times, or more frequently, their assessment of the church’s influence on their motivation remains consistent. This could indicate that Manaoag Church’s role in religious tourism has a universal appeal or significance, transcending the number of visits a person has made.

Analisis Kepuasan Siswa terhadap Penggunaan Platform E-Learning dalam Pelaksanaan Ujian di SMPN 1 Taman

This research aims to analyze student satisfaction with the use of e-learning platforms, especially Google Forms, in carrying out exams at SMPN 1 Taman. This research used quantitative methods and involved 36 class IX respondents. Data collection was carried out through an online questionnaire that utilized Google Forms and analyzed using descriptive tests, normality tests and t tests. The results showed that the majority of students are satisfied with the ease of use, practicality and technical support provided by the school. However, some students reported problems with connection stability during the exam. Based on the T test, student satisfaction has a significant influence on the effectiveness of using the e-learning platform in exams. In short, e-learning platforms make exam administration easier, but the technical aspects need to be improved to achieve optimal satisfaction.

From technique mastery to scientific thinking: how open-ended experiments shape medical students' perception of laboratory course roles in China

BackgroundBasic science education is universally acknowledged as a pivotal component of medical education. In China, medical students undergo significant preclinical training but often lack scientific thinking. As China transitions to a knowledge-intensive nation, addressing this gap is crucial. This research aims to qualitatively and quantitatively examine how sophomore medical students perceive the roles of basic laboratory courses, assess whether open-ended experiments can change these perceptions, and qualitatively determine their feelings towards experienced open-ended experiments.MethodsThis study has an interventional design, surveying students before and after an open-ended experiment to evaluate its impact on their perceptions of the roles of the basic laboratory course. Quantitative methods, including frequency analysis, Kendall's W test, the chi-square test, and an independent t test, were used to analyse the rankings of the roles of basic laboratory courses thoroughly. Moreover, qualitative thematic analysis provides insights into students' experiences with the open-ended experiments.ResultsThe study revealed that the students in the historical control groups considered learning to master experimental operation techniques as the most important role of the laboratory courses, whereas the students in the post-intervention groups regarded cultivating scientific thinking as the most crucial role. Compared with the historical control groups, the post-intervention groups attached greater importance to the role of cultivating scientific thinking, which was statistically significant. The main concerns and experiences of the open-ended experiments discussed by participants from the historical control groups were summarized into two themes: “negatively biased feelings of open-ended experiments” and “inappropriate for open-ended experiments at present”. However, the two major themes that emerged from the post-intervention groups are “positively biased feelings of open-ended experiments” and “moderate and appropriate open-ended experiments at present”.ConclusionsThis study revealed that medical students’ perceptions of the roles of laboratory courses were influenced by experimental teaching methods. Open-ended experiments have emerged as effective tools for fostering scientific thinking. This research emphasizes the importance of refining teaching methods in the preclinical phase to foster an environment conducive for enhancing the scientific thinking of Chinese students and the overall effectiveness of medical education.

Quantitative method and influencing factors analysis of demand response performance of air conditioning load with rebound effect

AbstractUnder the emerging trend of the new power systems, enhancing the energy flexibility of air conditioning loads to promote electricity demand response is crucial for regulating the real-time balance. As a typical temperature-controlled loads, air conditioning loads can generate rebound effect when participating in demand response, resulting in sudden load increases and posing risks to grid security. However, the existing research mainly focuses on the energy flexibility, which leads to an imperfect demand response mechanism and thus affects the optimal scheduling strategy. Therefore, the study proposes a comprehensive quantification method in view of rebound effect for the demand response performance of air conditioning loads, by using probability distribution, Latin hypercube sampling, Monte Carlo simulation, and scenario analysis methods. The demand response event was divided into response phase and recovery phase, and by considering energy flexibility during the response phase and rebound effect during the recovery phase, three dimensionless evaluation indexes for comprehensive demand response performance were constructed. Using this quantification method, the impact patterns of three types of random variables were compared, including meteorological, design variables, and control variables. Additionally, considering the differences in building types (office and hotel buildings) and building capacities (small, medium, and large), the effectiveness of air conditioning load participation in demand response measures in different building application scenarios was explored. The results show that the influence of the design variables on the response performance is less than that of the control variables, but significant, reaching 45% compared to the control variables. Moreover, the influence varies with building type, capacity and climate zone, and building demand response design has more potential in the following scenarios: the cold climate, the hot summer and cold winter climate, the medium building and the hotel building.

The Mediating Role of Self-Compassion in the Relationship between Psychological Flexibility and Depression

The study explored the mediating role of self-compassion in the relationship between psychological flexibility and depression. The participants consisted of 307 people, 183 women and 124 men, aged between 18- 59. The study employed the correlational research design, one of the quantitative research methods. The data were collected using the Demographic Information Form, the Beck Depression Inventory, the Acceptance and Action Questionnaire-II, and the Self-Compassion Scale. In data analysis, the independent samples t-test and mediation analysis methods were used. According to the mediation analysis, self-compassion had a partial mediating role in the relationship between psychological flexibility and depression. The findings were discussed in the context of previous studies and recommendations were given.

Factors affecting the adoption of blockchain technologies in the food supply chain

With the rise in food insecurity, one of the United Nation’s Sustainable Development Goals is to end hunger, achieve food security, and promote sustainable agriculture. This can be achieved through the strengthening and development of existing food systems. Integrating emerging technologies such as blockchain technology can help develop sustainable food systems. Blockchain technology allows the tracking and tracing of food items as they move through the supply chain. Blockchain technology also allows for low transactional costs at almost instantaneous applications. There is however a low adoption rate of blockchain technology amongst organisations in the food supply chain. The objective of the study was to explore factors that affect the adoption of blockchain technology in the food supply chain. The study adopted a quantitative research method that was guided by the technology, organisation, and environment Framework (TOE) to explore factors affecting blockchain technology adoption in the food supply chain. A systematic literature review was used for the study. Quantitative content analysis was used to analyse peer-reviewed articles. Results showed that TOE factors affect the adoption of blockchain technology in the food supply chain. Factors such as cost, scalability, firm size, and IT policy were noted as important factors affecting the adoption of blockchain technology in the food supply chain. The study contributes to the body of knowledge on factors that affect the adoption of blockchain technology in the food supply chain.

Feasibility of All Terrain Vehicle (ATV) Investment in MSMEs Tridea Hills Porame Tourism Village

The purpose of this study is to analyze investment decisions in the All Terrain Vehicle (ATV) rental business. This study uses quantitative descriptive analysis methods and qualitative descriptive analysis methods. The data used in this study are primary data with data collection techniques carried out by observation, interviews, and documentation. The analysis of investment decisions for the All Terrain Vehicle (ATV) rental business uses NPV (Net Present Value), IRR (Internal Rate Return), Net B/C Ratio, and PP (Payback Period) analysis. The results of the ATV rental business study at UMKM Tridea Hills, Porame Village, obtained a Net Present Value (NPV) of Rp82,248,651; Internal Rate of Return (IRR) of 46%; Net B/C Ratio of 1.87; and Payback Period (PP) of 3.7, which means that the investment value invested will be returned for 3 years and 7 months of operation. These investment decision analysis indicators confirm that this ATV rental business is feasible to be pursued and developed.

To Form From The Administration of Environmental Resources For the Care of The Habitat

Objective: Based on the provided text, a central concern emerges: the need to improve natural resource management and habitat conservation. The importance of environmental management as a tool to achieve sustainability and guarantee the well-being of future generations is highlighted. Theoretical Framework: Research in environmental resource management draws on a wide range of concepts and theories from various disciplines, such as ecology, economics, sociology, and administration. Method: The research employed both quantitative and qualitative methods. It was a descriptive study, and data was collected through surveys, which helped to gather information related to the proposed objective. Results and Discussion: The research has highlighted the crucial importance of environmental education and natural resource management to ensure a sustainable future. It has been evidenced that environmental education is fundamental to raising awareness and promoting sustainable practices, while resource management is essential for optimizing their use and achieving sustainable development goals. Implications: The implications of this research transcend academic spheres and extend to the political, business, and social realms, demanding a profound transformation towards development models that prioritize human well-being and planetary protection. In this sense, the research urges greater collaboration among governments, businesses, civil society organizations, and citizens to build a more sustainable future. Originality/Value: The originality of this research lies in its interdisciplinary approach, integrating ecological, economic, social, and administrative perspectives to offer a comprehensive view of natural resource management. By connecting theory with practice and emphasizing citizen participation, this research provides a novel and relevant perspective. Its value lies in its capacity to generate scientific knowledge, inform policymaking, and promote changes in management practices.

The evolution of precision agriculture and food safety: a bibliometric study

IntroductionFood safety issues pose a significant threat to humanity. Precision agriculture leverages advanced technologies for real-time monitoring and management, improving agricultural productivity and sustainability while safeguarding food security. Nonetheless, acquiring a thorough comprehension of this continually shifting panorama remains of vital significance.MethodsThis study conducts a comprehensive bibliometric review of precision agriculture and food safety, utilizing quantitative methods to identify past, current, and future evolution. It includes citation, co-authorship, co-citation, and co-words analyses.ResultsPublications emerged in 1994 and began to rise significantly since 2019. Citation analysis verified influencing works and journals, whereas co-authorship analysis identified how authors, institutions, and countries collaborate in this field. Co-citation analysis then classified past and current hotspots into four clusters: remote vegetation monitoring techniques, technological innovations and agricultural decision-making, precision agriculture and sustainable development, and deep learning in agriculture. After that, the co-occurrence of keywords revealed emerging trends, such as precision cultivation and yield prediction, smart agricultural technology and food management, precision information for climate change adaptation, and precision agriculture and food security.DiscussionThe findings provide insights for scholars, policymakers, researchers, practitioners, and industry stakeholders. They guide future research directions and address pressing challenges in agriculture and food safety.

Natural Deep Eutectic Solvents (NADES) Research Framework: Bibliometric Analysis

Aims: The Natural Deep Eutectic Solvents (NADES) method is an extraction method currently being developed using affordable green solvents with low cytotoxicity. This research aims to (a) identify developments in NADES research, and (b) develop research gaps for NADES for future research. Study Design: This research was conducted using bibliometric analysis. Place and Duration of Study: Library sources refer to research articles available online that can be accessed via websites or search engines by entering specific keywords related to the topic. Methodology: A research approach using quantitative methods was carried out using bibliometric analysis. Data analysis using bibliometric analysis of “Natural Deep Eutectic Solvents” sourced by article tittle, abstract, and keywords that produced 1,045 Scopus documents. Results: The results show a growing research trend in NADES, but there are still several gaps that need to be addressed as mentioned in the proposed research framework. Conclusion: Future research should focus on more comprehensive comparisons, more detailed method explanations, deeper understanding of molecular mechanisms, and long-term stability evaluations to improve the applicability of NADES in various fields. This paper contributes to the development of NADES.

Pengaruh Kualitas Layanan Dan Kemudahan Penggunaan Terhadap Kepuasan Konsumen Generasi Milenial Di Platform Tokopedia

This study aims to analyze the effect of service quality and ease of use on millennial consumer satisfaction on the Tokopedia e-commerce platform. Along with the development of technology, e-commerce has become the main choice for consumers because of its convenience, accessibility, and ease of use. This study uses a quantitative method with a survey approach by distributing online questionnaires to respondents who meet demographic criteria, with a purposive sampling technique. Data analysis was carried out using SPSS, including normality tests, ANOVA, and coefficient analysis to measure the effect of service quality and ease of use on consumer satisfaction. The results of the study show that both variables have a positive and significant effect on consumer satisfaction, so that improving service quality and ease of use is an important strategy in building customer loyalty in the digital era.

Antecedents For the Adoption of Telemedicine in India: Scale development and validation

Background: Telemedicine is increasingly recognized as a promising solution to healthcare challenges in India, particularly in remote areas. However, the country's vast population and geographic diversity present significant obstacles to providing accessible and high-quality healthcare services to all citizens. By leveraging technology, telemedicine has the potential to bridge this gap and enable remote delivery of medical services. Objective: This study aims to develop and validate a scale that assesses the factors influencing the adoption of telemedicine in the Indian context. Understanding these factors is crucial for identifying key drivers and barriers to telemedicine adoption in India. Design: Quantitative methods were employed for scale development. The instrument development process involved several stages: factor identification, item generation, pre-testing, pilot testing, and scale validation. A structured questionnaire was administered to healthcare professionals, industry experts, and patients who have used or intend to use telemedicine. Setting: Confirmatory factor analysis and subsequent tests, such as reliability and validity tests were conducted to establish the internal consistency of the scales. These statistical analyses aimed to identify underlying factors and ensure accurate measurement of latent variables that affect the adoption of telemedicine. Results: The study established a robust scale to assess the five key factors, which are the vital explanatory variables in telemedicine adoption in India. These meticulously validated scales, encompassing technology, government policy, user attitudes, societal demand, and healthcare professional perspectives, demonstrate high reliability and validity in understanding the adoption dynamics of telemedicine in the context of India. Conclusion: This research offers a validated scale for assessing telemedicine adoption in India, crucial for healthcare service providers, policy makers, and researchers in this field. It enables informed decisions in implementing telemedicine, addressing unique challenges and opportunities, and significantly contributing to optimizing healthcare delivery across India's diverse socio-economic and geographical landscape.