Importance Performance Analysis Research Articles

Analisis Kualitas Sistem SLIMS Terhadap Kepuasan Mahasiswa Dengan Metode E-Servqual dan Importance Performance Analysis

SLIMS at the XYZ University library has been built since 2014 and began to be implemented in 2018 and has been running until now. During implementation there were several problems, including incomplete book collections, this caused students to prefer choosing books manually. Apart from that, sometimes there are still some problems that occur when processing the data used. Many users still don't understand how to use SLIMS. This research aims to measure the level of user satisfaction and provide suggestions for improving the SLIMS system. The method used in this research is E-Servqual which has 5 variables in this method and the Importance Performance Analysis method is used to compare user assessments of the level of importance of service quality. The data obtained from this research was distributing questionnaires to a sample of 100 respondents. Data processing was carried out using the SMART-PLS 4 tool. The analysis results obtained for the level of user satisfaction were 3 variables that were significant and influenced user satisfaction, namely the Empathy, Responsiveness and Tangible variables. Meanwhile, the other 2 variables, namely Assurance and Reliability, do not have a significant relationship with user satisfaction. This shows that students are still quite satisfied and a science analysis was carried out on 4 quadrants to evaluate service factor based on the level of user satisfaction

Analysis Quality of Service using Service Performance and Importance Performance Analysis Method at Community Health Center

Community health center is a health services in Indonesia that aims to organize first-level public health efforts. The current condition observed in level one health centers in Indonesia relates to the services provided. A large portion of patients who have experienced the services express dissatisfaction with the level of service provided. This research aims to determine the quality of service in community health center and provide advices to improve the quality of health center services. The method used in this research is the Servperf method and Importance Performance Analysis. Based on research with the service performance method, the mean performance level is 3,39 and the mean importance level is 4,38. Meanwhile, the Importance Performance Analysis obtained the level of conformity between performance and importance is 77,49% with seven atrributes of service quality dimensions that enter quadrant I and are the top priority for improvement. The proposed improvements are made to improve the quality of health center services in the future by adjusting the main priority attributes of improvements to the Importance Performance Analysis diagram.

EVALUASI KINERJA PELABUHAN PANTOLOAN KOTA PALU

The city of Palu is located in a very strategic area which making it a gateway to connect Central Sulawesi with Kalimantan Island. Pantoloan port developed as a support for the movement but even with the strategic location and enormous potential, this port tends to be quiet with activities that should be present at ports in general. This research aims to determine the level of satisfaction of port users and to analyze the factors that influence its performance. This research using a descriptive method with qualitative approach through distributing questionnaires to respondents which later be analyzed using the Customer Satisfaction Index and Importance Performance Analysis methods. The results of the evaluation study on the performance of Pantoloan Port are that port users are quite satisfied with a percentage reaching 52%. Other factors that greatly influence the level of satisfaction and are priorities in developing port performance are timeliness, accessibility and affordable rates.

The disruptive potential of importance-performance eduruption and transforming consumerism in single-used plastic reduction initiatives

In an era demanding sustainable consumption, the challenge of single-used plastic (SUP) remains significant. This study delves into the transformative capacity of the Importance-Performance Eduruption method to reshape consumerism and encourage SUP reduction. Drawing on binary choice models, we elucidated the determinants influencing students' willingness to participate in SUP reduction initiatives. Beyond the quantitative metrics, the study highlighted the deep-seated influence of educational methods. Applied learning strategies like Problem-Based and Project-Based Learning emerged as influential touchpoints, aligning students with sustainable habits. Simultaneously, the importance-performance analysis revealed areas needing immediate intervention, notably research-oriented methods. Our findings spotlight the influential role education plays in driving sustainable consumer behavior. By integrating importance-performance insights into curriculum planning and broader policy frameworks, stakeholders can more effectively harness the disruptive potential of education to further the goals of Sustainable Development Goal 12 and create a more sustainable future.

Exploring the relationships between importance–performance analysis (IPA) rankings and satisfaction and loyalty among English as the medium of instruction (EMI) students

PurposeThis study sought to investigate the attitudes of Vietnamese undergraduate business students towards English-Medium Instruction (EMI) courses.Design/methodology/approachData were collected through purposive sampling using structured questionnaires, resulting in a dataset comprising 291 responses. This study employs a combination of Importance–Performance Analysis (IPA) and structural equation modeling (SEM) to evaluate students' perceptions of effectiveness of EMI courses, their satisfaction and loyalty.FindingsThe study’s findings revealed a noteworthy pattern: students assigned higher levels of importance to various aspects of EMI courses than the actual performance levels of these elements. Additionally, the analysis identified specific attributes that fell into different IPA quadrants, shedding light on their relative significance. Notably, the students placed their teachers' professional expertise and English proficiency in the “keep up the good work” quadrant, indicating the strengths of these attributes. In contrast, learning assessment techniques, course learning materials and electronic teaching platforms were situated in the “concentrate here” quadrant, implying room for improvement in these areas. Furthermore, it was observed that attributes falling within the “keep up the good work” quadrant had a positive effect on students' overall satisfaction and loyalty, while other characteristics did not significantly contribute to predicting these outcomes.Originality/valueBased on these findings, the study offers recommendations for educational institutions and educators concerning the planning and implementation of EMI courses.

Unveiling Key Factors for Enhanced Employee Performance in Indonesia

This study investigates the impact of employee competence and the work environment on performance at PT. Karya Mitra Teknik Forklift Sidoarjo. Through observations, interviews, and surveys with 30 employees over six months, the study applies Partial Least Squares Structural Equation Modeling (PLS-SEM) and Importance Performance Analysis (IPA). Results show that both competence and the work environment significantly influence performance, with timely task completion and a supportive work environment identified as key areas for improvement. Enhancing employee discipline and optimizing workplace conditions are recommended to boost productivity and employee satisfaction in heavy equipment service companies. Further research could explore additional factors like compensation to further enhance organizational outcomes. Highlight: Investigate competence and environment effect on employee performance. Timely task completion and supportive work environment enhance performance. Improve employee discipline and optimize workplace conditions for effectiveness. Keywoard: Competence, Work Environment, Performance, Heavy Equipment Services, Employee Satisfaction

An Examination of Students’ Perspectives of Medical English Course Quality in Guangdong Medical Universities

Phenomenon: In China, medical English courses are critical to medical education, equipping Chinese students with the linguistic tools necessary for international medical practice and collaboration. However, a disconnect persists between the pedagogical approaches of medical practitioners and language educators, leading to a curriculum that emphasizes grammatical accuracy over practical communication skills. This misalignment results in student disengagement and falls short of addressing the real-world demands of the medical profession. With the growing importance of English proficiency in the global health sector, the need for significant improvements in medical English education is evident. This study delves into the underlying causes of student demotivation and aims to reconcile educational delivery with the evolving expectations of the medical field. Insights gained from this research will inform targeted interventions, promising to enhance medical English courses and support improved educational experiences for Chinese medical undergraduates. Approach: This cross-sectional quantitative study surveyed 3,046 second-year medical students from four medical universities in Guangdong Province, China, leveraging means-analysis and Expectancy-Disconfirmation Theory (EDT) as its foundation. The research was conducted at the end of the 2022–2023 academic year, utilizing a questionnaire to assess students’ perceptions of their medical English courses. Importance-Performance Analysis (IPA) was the primary analytical tool to discern discrepancies between students’ expectations and experiences. Findings: The IPA revealed that course content, classroom environment, and instructor effectiveness were pivotal factors influencing the perceived quality of the medical English courses. Students expressed a need for practical and relevant course material, with current content and textbooks falling short of preparing them for future medical communication demands. Additionally, while learning technologies were acknowledged, there was a discernible preference against their excessive application, suggesting a misalignment between student satisfaction and learning outcomes. Insights: This study highlights the need for innovative staffing models, refined qualifications for part-time instructors, development of collaborative and practical teaching materials, and focused training for medical English instructors. It also emphasizes the judicious integration of e-learning to enhance the learning experience. These insights aim to improve instruction quality by informing potential pedagogical adjustments and resource allocations in medical English education.

Revitalizing Customer Satisfaction in Indonesia's Rice Industry

CV. Central Karya Jaya, a rice distribution company, faced a 40% profit decline. This study aims to enhance company performance and customer satisfaction using the Balanced Scorecard and Importance Performance Analysis (IPA). Data from 70 respondents showed a financial ROE above 12%, but customer satisfaction had a 72.25% conformity, revealing unmet needs. Key improvements are needed in managerial friendliness, employee responsiveness, and personalized service. Recommendations include fostering better employee relations and understanding customer needs, with future research suggesting the use of Quality Function Deployment (QFD) for further service enhancement. Highlights: Financial Performance: ROE above 12% indicates solid financial health. Customer Satisfaction: 72.25% conformity shows areas needing improvement. Key Improvements: Enhance managerial friendliness and employee responsiveness Keywords: Performance Measurement, Balanced Scorecard, Customer Satisfaction, Rice Distribution, Importance Performance Analysis

Pengukuran Daya Saing Kampung Wisata di Kota Bandung

The success of a tourist destination in the world market cannot be separated from the influence of its competitiveness. The competitiveness of tourist destinations is an area that attracts the attention of tourism researchers. Tourism competitiveness has tremendous consequences for the tourism industry and is therefore of great interest to practitioners and policy makers. The approach to the competitiveness of tourist destinations has so far focused on the image or attractiveness of tourist destinations concentrating on attributes that are considered to attract visitors, such as climate, scenery and accommodation. There are various indicators used to measure the competitiveness index of tourist destinations, including those from the World Travel and Tourism Council (WWTC), which include the Human Tourism Indicator, Price Competitiveness Indicator, Infrastructure Development Indicator, Environment Indicator, Technology Advancement Indicator, Human Resources Indicator, Openness Indicator, Social Development Indicators. In general, these indicators are relatively general and not local specific in exploring the conditions and circumstances of a tourist attraction, even though this aspect is directly related to the conditions of a destination/tourist attraction. The aim of this research is to assess destination performance using indicators in the aspects of attractions/tourism objects, infrastructure, access, and services/management. In this study, data came from 50 tourists (n=50). The analysis used is the Importance-Performance Analysis (IPA) Model to create a ranking of various attributes of Tourism Villages which concerns 4 aspects, namely tourist attractions, facilities (amenities), access/affordability (access), and services. additional (ancillary), by analyzing which attributes have a level of correspondence between the level of importance and the level of performance. Based on the results of the analysis, the main indicators that must be improved are additional services, and attractions are still felt to not meet respondents' expectations. The management of Braga Tourism Village needs to improve the quality of its services, especially related to information services and cleaning staff, while the quality of services which are considered to be good needs to be maintained in order to provide comfort for visitors. The results obtained from Importance Performance Analysis (IPA) will be used to determine the right strategy to improve the company's performance.

Application of Choquet Integral-Importance-Performance Analysis and TOPSIS Methods in Approaching the Preference Factors of Calligraphy and Seal Engraving Imagery

Classical Chinese characters, presented through calligraphy, seal engraving, or painting, can exhibit different aesthetics and essences of Chinese characters, making them the most important asset of the Chinese people. Calligraphy and seal engraving, as two closely related systems in traditional Chinese art, have developed through the ages. Due to changes in lifestyle and advancements in modern technology, their original functions of daily writing and verification have gradually diminished. Instead, they have increasingly played a significant role in commercial art. This study utilizes the Evaluation Grid Method (EGM) and the Analytic Hierarchy Process (AHP) to research the key preference factors in the application of calligraphy and seal engraving imagery. Different from the traditional 5-point equal interval semantic questionnaire, this study employs a non-equal interval semantic questionnaire with a golden ratio scale, distinguishing the importance ratio of adjacent semantic meanings and highlighting the weighted emphasis on visual aesthetics. Additionally, the study uses Importance-Performance Analysis (IPA) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to obtain the key preference sequence of calligraphy and seal engraving culture. Plus, the Choquet integral comprehensive evaluation is used as a reference for IPA comparison. It is hoped that this study can provide cultural imagery references and research methods, injecting further creativity into industrial design.

Prioritizing human-wildlife conflict management strategies through importance-performance analysis: Insights from Chitwan National Park, Nepal

Human-wildlife conflict affects the social-ecological systems essential for sustainable development. In human-dominated landscapes, effective management necessitates context-specific strategies that promote workable coexistence. This present study evaluates community perspectives on human-wildlife conflict management strategies through Importance-Performance Analysis in Chitwan National Park, Nepal. As a cost-effective and user-friendly tool, Importance-Performance Analysis helps protected area managers prioritize strategies and make informed decisions. Our findings reveal eight management strategies with significant importance-performance gaps, suggesting that park management is falling short in meeting both farmers’ and non-farmers’ needs. The graphical representation of Importance-Performance Analysis matrix visually identifies three high priority strategies—enhanced livelihood diversification skills, promotion of alternative livelihoods, and fast-tracked compensation schemes—that demand immediate action. The ANOVA results show varying perspectives between farmers and non-farmers across the park’s four management sectors (Kasara, Sauraha, Madi, and Amaltari), regarding the importance and performance of management strategies. This study demonstrates that Importance-Performance Analysis can be effectively adapted by protected area managers to evaluate and enhance management effectiveness from stakeholders’ perspectives, thereby balancing biodiversity conservation with community well-being and advancing the global goal of ‘living in harmony with nature’.

Arahan Pengembangan Infrastruktur dalam Mendukung Ketahanan Pangan Di Kecamatan Bataguh, Kabupaten Kapuas

Bataguh District has great potential for agricultural resources and is the largest rice producing area in Kapuas Regency, based on field conditions, the existing infrastructure is not yet supportive and most of the infrastructure is still not optimal, so efforts are needed to develop infrastructure for the agricultural sector and resilience. food in Bataguh District. This research aims to determine the infrastructure needed to support regional development of the agricultural sector and food security. Starting with the analysis looking for the basic infrastructure needed in the agricultural sector, starting with a descriptive analysis stage to identify the condition of the infrastructure in the field. The next stage involves using the Importance-Performance Analysis method to evaluate the level of importance and performance of the infrastructure. In the final stage, triangulation analysis is used to conclude the results and provide development directions to support the agricultural sector and food security in Bataguh District, Kapuas Regency. Based on the research results, it is known that the priorities for infrastructure groups are: quadrant 1 (Road Network, Agricultural Irrigation, Storage Warehouses and Agricultural Processing Facilities), quadrant 2 (Communication Network and Electricity Network Coverage), quadrant 3 (Clean water network, Availability of Sanitation, Cooperatives , and gas stations) and quadrant 4 (Modes of Transportation, Markets, and Transportation Support Facilities).

Analysis of Traditional Menu Promotion Case Study: The City of Pagar Alam

This study compares traditional menu promotion efforts' expectations and reality in Pagar Alam, South Sumatra. The focus of attention of food and beverage industry players is customers and competitors. By generating and offering value to their customers, food and beverage industry players can bind a customer, a food and beverage player who has succeeded in presenting superior value. In order to achieve this goal, every industry player must be able to produce and deliver the goods and services desired by consumers, in this case, tourists, according to the needs and desires of these tourists. The data analysis method uses Important Performance Analysis (IPA) on primary data obtained from 83 consumer respondents. The results showed strategies to improve product branding to introduce and improve the specific menu products of natural fences so that tourists more widely knew them. The results showed that labeling was in quadrant D (low expectation and perception values) at an IPA value of 5.40.

Bridging Gaps towards the 2030 Agenda: A Data-Driven Comparative Analysis of Government and Public Engagement in China towards Achieving Sustainable Development Goals

The United Nations’ 17 Sustainable Development Goals (SDGs) provide a pivotal framework to guide government policies and mobilize public engagement for sustainability, although further exploration is still needed to analyze the attention given to the SDGs by these stakeholders using multi-source data. To comparatively analyze government and public engagement in the SDGs, based on a case study in China, this study employed a multi-source data and content analysis to assess the perceived importance and performance of the two stakeholders. Then, this study performed an importance–performance analysis (IPA) to assess the SDGs’ priority for further improvement. The results highlight the government’s emphasis on SDG 7, SDG 2, and SDG 9, contrasting with public attention predominantly on SDG 8, SDG 9, and SDG 4. Regarding the performance of the SDGs in China, the greatest achievements have been exhibited for SDG 4 and SDG 1, while SDG 10, SDG 15, and SDG 17 have shown the least progress. Concerning the individual indicators, 12 out of 98 have attained 100% completion, while 19 out of 98 remain below the 50% threshold. According to the IPA results, China should concentrate on SDG 10 and SDG 15 and improve SDGs 6, 7, 14, 16, and 17 as a relatively low priority. The stakeholder analysis indicated that these SDGs are neglected zones by both the public and government. This research innovatively assessed the priorities of SDGs and could strengthen the cooperation between the government and the public to drive the implementation of the Sustainable Development Goals more effectively. This study could contribute to guiding policy directions, inform strategies for public engagement, and enhance the comprehension of sustainable development in China. The framework could serve as a valuable reference for stakeholder engagement in the SDGs in other countries.

Service Quality Analysis of Unej Digital Library Using M-S-QUAL and Importance Performance Analysis Methods

A lot of library services are impacted by the expansion and advancement of information and communication technologies. With this modification, the traditional library services are now entirely digital. To carry out this digitalization, the Unej Digital Library (UnejDigiLib) application was created by the University of Jember's library. The purpose of developing this digital library application was to improve the effectiveness of library services, which were previously hindered by the COVID-19 epidemic. The UnejDigiLib developer has not yet evaluated the quality of its services since the application's release, therefore they are unsure of whether the current services satisfy user needs. Therefore, the goal of this study is to combine Mobile Service Quality (M-S-QUAL) and Importance Performance Analysis (IPA) in order to assess the UnejDigiLib service's quality based on user perceptions. The M-S-QUAL is used to determine service quality indicators and examine the gap between their performance and importance. After that, the service indications are mapped using the IPA based on their priority level. This study used the following six M-S-QUALl dimensions: compensation, privacy fulfillment, content, system availability, efficiency, and privacy. The findings indicate that user expectations have not been met by the UnejDigiLib service's performance. Meanwhile, the IPA analysis's findings indicate that the following indicators are found in quadrant 1: C3 (completeness of the book collection), C5 (suitability of the book collection with the curriculum lectures), C6 (updates to the book collection), and F3 (speed at which books download). This quadrant's indicators are the primary focus for improvement.

Analytical modeling of perceived authenticity in AI assistants: application of PLS-predict algorithm and importance-performance map analysis

PurposeThe present study aimed to explore the consequences of perceived authenticity in artificial intelligence (AI) assistants and develop a serial-mediation architecture specifying causation of loyalty in human–AI relationships. It intended to assess the predictive power of the developed model based on a training-holdout sample procedure. It further attempted to map and examine the predictors of loyalty, strengthening such relationship.Design/methodology/approachPartial least squares structural equation modeling (PLS-SEM) based on bootstrapping technique was employed to examine the higher-order effects pertaining to human–AI relational intricacies. The sample size of the study comprised of 412 AI assistant users belonging to millennial generation. PLS-Predict algorithm was used to assess the predictive power of the model, while importance-performance analysis was executed to assess the effectiveness of the predictor variables on a two-dimensional map.FindingsA positive relationship was found between “Perceived Authenticity” and “Loyalty,” which was serially mediated by “Perceived-Quality” and “Animacy” in human–AI relational context. The construct “Loyalty” remained a significant predictor of “Emotional-Attachment” and “Word-of-Mouth.” The model possessed high predictive power. Mapping analysis delivered contradictory result, indicating “authenticity” as the most significant predictor of “loyalty,” but the least effective on performance dimension.Practical implicationsThe findings of the study may assist marketers to understand the relevance of AI authenticity and examine the critical behavioral consequences underlying customer retention and extension strategies.Originality/valueThe study is pioneer to introduce a hybrid AI authenticity model and establish its predictive power in explaining the transactional and communal view of human reciprocation in human–AI relationship. It exclusively provided relative assessment of the predictors of loyalty on a two-dimensional map.

Dampak Kebijakan Paten Terhadap Kualitas Pelayanan Publik (Studi Implementasi Paten Di Kabupaten Lima Puluh Kota)

Rural development is an effort to improve the quality of life and welfare of the rural communities. Public services provided by local governments are important for regional development. Improvement of public services in the regions can be carried out by the District Government through the District Integrated Administration Services (PATEN) in accordance with the Minister of Home Affairs Regulation Number 4 of 2010. One of licensing that is held through PATEN in the District of Lima Puluh Kota is the Micro and Small Business License. This research combines qualitative and quantitative methods. The research was conducted in Kapur IX and Luak Districts. Data was collected through structured interviews, secondary data, and questionnaries. Data analysis was carried out through the case study technique of Robert K. Yin and Importance Performance Analysis. The results showed that the implementation of PATEN had a good impact on public services and the satisfaction of service seekers reached 96,25%.

Analysis and Optimization of Residential Elements from the Perspective of Multi-Child Families in the Yangtze River Delta Region

Over the last few decades, policy changes have resulted in changes in family structure and cyclical changes within families. The structure of multi-child families will have a significant influence on housing demand and supply, necessitating a thorough demand study. This study examines the requirements of 739 multi-child families in the Yangtze River Delta (YRD) region at different stages and graphically displays the variables influencing their level of housing satisfaction, offering a scientific reference for the design and optimization of housing. Firstly, the residential elements that impact families with multiple children were categorized into 3 categories, 14 subcategories, and 65 influencing elements based on expert consultation and word frequency data. Secondly, 739 families in the YRD region were chosen for investigation, and importance–performance analysis (IPA) was employed to study and assess the residential elements of multi-child families. The IPA study findings were compared to those obtained from on-site surveys and network data crawling. Finally, the residential elements to be optimized were quantitatively determined, and the relevant optimization techniques were provided in conjunction with door-to-door interviewing. This study examines the needs of multi-child families at various phases, as well as the factors that impact their residential satisfaction, and provides optimization solutions for the long-term use and renewal of residential structures.

Satisfaction Evaluation and Renewal Strategies for Urban Parks Based on the Importance–Performance Analysis: A Case of Shaping Park in Chongqing, China

Satisfaction Evaluation and Renewal Strategies for Urban Parks Based on the Importance–Performance Analysis: A Case of Shaping Park in Chongqing, China

Airport experience assessment based on Skytrax online ratings and importance-performance analysis: a segmentation approach

Airport experience assessment based on Skytrax online ratings and importance-performance analysis: a segmentation approach