Usable Responses Research Articles

When library cares: mining insights from LibQUAL+ to determine university students’ priorities

PurposeThis study aims to evaluate students' satisfaction with university library services in southern Punjab, Pakistan, emphasizing their perspective on service quality (SQ).Design/methodology/approachA LibQUAL+® survey with 22 core items was conducted within university settings using convenience sampling. In total, 345 usable responses were returned through Google Forms. Data analysis involved descriptive statistics, ordinal logistic regression test, Pearson and Deviance statistics and chi-square test to assess the satisfaction status of library users.FindingsThe study found that libraries generally meet SQ standards. However, there were minor gaps in information control (IC) and library as place (LP).Practical implicationsThe study provides library administrators with actionable insights to enhance services, encouraging stakeholders to adopt optimal library practices for heightened efficiency and user satisfaction.Social implicationsIt highlights the crucial role of libraries in shaping future societal progress by emphasizing the need for elevated user services. Librarians can use this knowledge to modify their planning and take impactful initiatives that align with the evolving needs of their users.Originality/valueWhile many studies have utilized LibQUAL, this research is unique for its focus on addressing university library services in underdeveloped regions facing economic challenges. It attempts to fill the information gap by offering a transferable approach for strategic priorities in similar settings.

Beyond dislike counts: How YouTube users react to the visibility of social cues

This study investigates the impact of YouTube’s 2021 policy, which hides dislike counts and limits a form of negative social feedback. It examines how this change affects social media herding behavior—the tendency of users to align with the majority opinion. We adopted a mixed-method approach, incorporating an online experiment that simulates the YouTube interface and an Interrupted Time Series analysis of real-world user reactions, to assess how the policy affects user engagement. Specifically, we looked at how the absence of one-sided digital cues, combined with content characteristics and individual user predispositions, influences user behavior. Our findings suggest that YouTube’s initiative to boost platform positivity had limited success: user responses were more influenced by their ideological leanings than by visible digital cues; Hiding dislikes reduced commenting frequencies and inadvertently increased negative expression. These results highlight the stronger role of ideological beliefs over social cues in shaping engagement, challenging the presumed impact of audience conformity and the negativity bias on social media dynamics.

Determining intention to visit halal destinations from the perspective of the push-pull-mooring framework

PurposeThe rapid growth of halal tourism over the past decade has made it a lucrative market, with destinations competing for Muslim travellers. This study examines the factors influencing tourists' intention to visit halal tourism destinations in Indonesia, using the push-pull-mooring (PPM) model to understand this phenomenon.Design/methodology/approachData were collected using a self-administered questionnaire. A total of 328 usable responses were used to analyse the data. The proposed conceptual framework was tested using covariant-based structural equation modelling (CB-SEM).FindingsResults indicate that push, pull and mooring motives positively influence visit intention towards halal tourism destinations. Among these motives, novelty seeking, escapism, halal-friendly destination performance, halal attributes of the destination, religiosity and subjective norms were the most critical factors that improved visit intention. Furthermore, the moderating role of mooring factors was also established.Practical implicationsThe study makes several strategic suggestions for promoting halal tourism destinations. These include highlighting the destination’s halal index factor to attract Muslim tourists and develop the industry market.Originality/valueResearch in halal tourism is still emerging, and this study aims to enhance our understanding of Muslim travellers. Using the PPM framework, it provides valuable insights into Muslim tourists' intentions to visit halal destinations.

KAWANKULINER: PERSONALISED FOOD RECOMMENDATION APP USING BMR AND TDEE FOR OPTIMAL DAILY NUTRITION

People often have difficulty in determining the type of food that is suitable for the composition of their body. This is due to the many types of food available, as well as the lack of information about the nutritional content of each type of food. By fulfilling the daily calorie and macro-nutrient needs required by the body, its metabolism can be maintained, preventing various health problems such as malnutrition. Based on the results of the Basic Health Research in 2018 malnutrition is one of the most serious problems in Indonesia. Several studies related to calculating calorie estimates using the BMR approach with the utilization of technology have been conducted.However, these studies were limited to only displaying the amount of daily calorie needs that were not accompanied by what foods were needed to meet these daily needs. The purpose of this research is to build an app to help individuals understand their daily calorie needs based on their Basal Metabolic Rate (BMR) and total daily expenditure energy (TDEE), using smart scale to provide body composition information and spoonacular API to provide food recommendations that match their energy needs and give them recipes on how to make their food meanwhile waterfall model is used as a software development method. The test results show that the app meets the functional and usability requirements well, with a high accuracy rate of 99.86% for calories, protein, fat, and carbohydrates. In terms of user response, 13 respondents had a very positive response, and considered the app useful for making it easier to get information about their calorie and macro-nutrient needs, as well as provide food recommendations based on their daily needs.

DEVELOPMENT OF WATER QUALITY MONITORING SYSTEM IN SHRIMP PONDS BASED ON INTERNET OF THINGS (IOT)

This type of research is research and development (R&D) which uses the waterfall development model. The aim of this research is to produce a water quality monitoring system in shrimp ponds based on the Internet of Things (IoT) and to find out the results of testing the development of the system using the ISO 25010 standard. This development involves the application of ESP32, Relay, Toa Siren, DS18b20 Temperature Sensor, pH Sensor Module 4502C, Water Salinity and Turbidity Sensor which allows users to get real-time pond water quality monitoring information via the Telegram application. The test results for the reliability aspect have met the fault tolerance sub-characteristic standards because the percentage of measurement error obtained for the temperature sensor was 0.10%, pH 0.54%, salinity 1.19%, and turbidity 1.00%, still within the permitted tolerance limits. Functionality suitability testing shows that this tool obtains a percentage of 100%, indicating that the system is suitable for use. This tool also meets the portability aspect because it can be used on various devices with different operating systems. Apart from that, the usability evaluation results from user responses are in the very good category with an average of >4.2.

Benefit-Cost Analyses of Hearing Aids, Over-the-Counter Hearing Devices, and Hearing Care Services.

Limited accessibility to hearing health care threatens healthy aging in place for older adults with hearing loss. A willingness-to-pay (WTP) approach was used to determine benefits and value of prescription advanced digital technology (ADT) hearing aids, over-the-counter (OTC) hearing devices, and rehabilitative services using benefit-cost analyses. This study was a cross-sectional survey with chart review of hearing aid users at two independent audiology practices. Seventy hearing aid users (response rate: 15.6%) provided their WTP for ADT prescription hearing aids, OTC hearing devices, and hearing rehabilitative services. Benefit-cost ratios and net social benefit were calculated using deterministic and exploratory approaches. Point estimates for benefit-cost ratios and net social benefit were derived using bootstrap sampling with replacement (N = 5,000). Median WTP for ADT prescription hearing aids and rehabilitative services were $2,000 and $250, respectively. WTP was lowest for OTC devices (Mdn = $0; maximum = $500). Benefit-cost ratios and net social benefit for ADT prescription hearing aids, OTC devices, and hearing rehabilitative services favored these interventions when out-of-pocket costs remained low. Benefit-cost analyses also produced results favoring prescription ADT hearing aid intervention with costs as high as $1,530 per device. WTP results indicated that all interventions under study have a measurable consumer-perceived benefit. Results of benefit-cost analyses favored the interventions but only when costs were lower than market prices. The benefit-cost analysis results for hearing care services underscore their value when provided as part of a comprehensive rehabilitative plan that may inform future health policy changes.

DESIGN AND BUILD A STUDENT ATTENDANCE APPLICATION AT MADRASAH ALIYAH POMPANUA BONE DISTRICT BASED ON ANDROID

This research aims to determine the results of the design and effectiveness of the application as well as determine the responses of users of the Android-based student attendance application at Madrasah Aliyah Pompanua, Bone Regency. This research uses an R&D (Research and Development) type of research that uses the waterfall development model. The data collection techniques used were observation, interviews and questionnaires. This application testing uses the ISO/IEC 25010 quality standard which covers 4 aspects including functional suitability, performance efficiency, usability and protability. The application testing results used ISO/IEC 25010 quality, namely the functional suitability aspect testing was carried out by two system experts, and it was found that this application was in the very good category to use. Performance efficiency aspect testing was carried out using the Android Studio profiler by measuring real-time data for CPU, memory and network when the application was used, and the test results obtained good values. Usability aspect testing was carried out by teachers at Madrasah Aliyah Pompanua Bone Regency using a questionnaire and it was found that this application was in the very good category. Protability aspect testing is carried out by running the application using an Android device in various Android versions. Based on these data, it can be concluded that the Android-based student attendance application at Madrasah Aliyah Pompanua, Bone Regency is acceptable for use as a medium that makes it easier for teachers to take attendance and recap student absences at Madrasah Aliyah Pompanua, Bone Regency

Understanding Customer Readiness for Digital Gamification

ABSTRACT Digital gamification has been studied extensively in different contexts across information systems and digital marketing. Interestingly, scholarly studies in information systems/marketing regarding the benefits of digital gamification are mixed, with several research works reporting negative outcomes. Our study attempts to resolve these contradictions and explain why digital gamification failed in certain instances—the target customers were not ready. The present study, done in the USA covering 446 usable responses, adds to the extant literature in many ways. First, we throw light on gamified engagement programs and the mediating role of customer readiness and consequent outcomes. Our results reveal that simplicity and information quality are other important dimensions of gamified engagement programs, in addition to intrinsic and extrinsic game dynamics, for achieving adequate customer readiness. Additionally, customer participation makes the greatest contribution to company engagement, followed by program loyalty and program satisfaction. We conclude with the study’s implications on different fronts.

What motivates U.S. restaurant customers to choose plant-based meat alternative dishes?

ABSTRACT The purpose of this study is to examine how different consumption values influence consumer intentions to choose a dish featuring plant-based meat alternatives at a restaurant by applying the theory of consumption values. The present study also investigates the mediating role of attitude in the relationships between values and consumer intentions. Responses were collected through the Qualtrics panel service and structural equation modeling was employed to analyze the data. The results, based on a total of 682 usable panel responses, indicate that emotional and epistemic values acted as significant driving forces, directly promoting consumers’ intention. Attitude was aroused by distinctive, functional, emotional, and conditional values and in turn, significantly impacted intention. Furthermore, it was found that attitude fully mediated the relationship between conditional value and intention. The results offer useful implications for restaurants that offer menus with plant-based meat alternatives.

Discursive Practices during an Electoral Cycle: Public Opinion and Political Disillusionment on Twitter

Electoral cycles are highly charged, politically intense moments that influence public discourse. Political elites, citizens, and the traditional news media seek to generate opinions and interactions on social networks. This research is motivated by the following questions: What are the communicative and deliberative practices used in these spaces? Is it possible to identify the characteristics that –through deliberative conversations– potentially foster or undermine democratic debate, particularly when using populist and polarizing discourse? Using a mixed methods approach, we apply a social network analysis tool to track conversations and identify the volume of political discourse (N=346,000). Using selective and staged filtering, we identified posts from nine Peruvian Twitter accounts during the September 2022 electoral campaign in Lima: three candidates, three media outlets, and three accounts with high levels of engagement. Our data comprised the comments from these nine accounts and was extracted using an Application Programming Interface (API). Subsequently, we carried out ethnographic content analysis on publications with more than 30 comments. In this phase, we analyzed Twitter comments using a codebook to identify deliberative practices and user responses. Our findings underscore the significant role of principal media outlets in shaping political conversation on Twitter. We also discovered that attempts to interact and deliberate were often overshadowed by heated comments attempting to impose opinions on others. Most importantly, our research reveals a widespread disillusionment with politics, political institutions, and even the political preferences of fellow citizens in Peru, highlighting a key challenge for democratic discourse on social media.

The design of listening tests for impact noise annoyance ratings

Noise annoyance is characterized by irritation, discomfort, disturbance or distraction. The evaluation of impact noise based on user response provides useful information about subjective auditory perception. These assessments are carried out by participants in listening tests under laboratory conditions, where participants usually rate the annoyance caused by different samples of impact noise. The question arises as to whether it is possible to gain a meaningful insight into the human inner life by evaluating only a single quality such as annoyance. Therefore, other qualities such as loudness, allowance limit or naturalness are also included in the rating procedure. In this paper we present the design of the listening test for impact noise annoyance and the corresponding selection of investigated qualities. It describes why they were selected and how the evaluation was carried out. It also describes how descriptive qualities have been used in other studies. The technical implementation of the listening procedure is presented and correlations between the ratings of the different qualities are discussed.

The Role of Digital Transformation in Enhancing Business Performance and Smart Economy Integration: A Case Study of Thailand’s Retail Industry

This research examines the relationship between digital transformation, business performance, and the smart economy. The study uses a purposive sampling method with a quota approach, targeting business owners or managers from traditional retail businesses in smart cities across Thailand. 389 usable responses were collected and analyzed in Structural Equation Modeling (SEM). Digital transformation positively correlates with business performance. Moreover, both digital transformation and business performance positively impact the smart economy. The findings support that digital transformation enhances business performance and contributes to the smart economy in retail operations, improving customer experiences and fostering smart economies. This study advances the academic understanding of digital transformation in Thailand’s retail sector, confirming the relevance of the TOE framework. The findings provide practical insights for retail businesses seeking to enhance performance and integrate with the smart economy through digital transformation.

Investigating the Dynamics of Workforce Stability: The Influence of Perceived Employability on Career Resilience, Task Performance, Learning Agility and Employee Retention

The main purpose of this study is to analyze the complex interrelationships among perceived employability, employee task performance, employee retention, career resilience, and learning agility to cover this knowledge gap and provide HR practices and policies supported by evidence that can increase service sector development and contribute to Saudi Arabia's economic goals. The study used a cross-sectional quantitative design and conducted an online survey of employees in the service sector of Saudi Arabia. Snowball sampling was used during the data collection, and 403 usable responses were collected and utilized for data analysis. Data analysis techniques included descriptive statistics, Pearson correlation, and composite assessment analyses were conducted through SPSS 28. For hypothesis testing, the PLS-SEM model was used through SmartPLS4. R2adj, standardized root means square residual, Normed fit index, and Q2predict were used for model evaluation. The research findings highlighted the importance of perceived employability which is positively related to task performance and retention and show the need for organizations to train their employees so that they are characterized by career resilience and learning agility, which relate positively on their task performance and their retention within the Saudi service industry. Acquiring knowledge and understanding regarding these relationships is essential to develop targeted practices and policies to improve employee outcomes and elevate the organization's competitiveness in an economy undergoing rapid transformations. This study's findings provide practical implications regarding human resource management and organizational development strategies in Saudi Arabia that will support future research by enhancing perceived employability, building career resilience, developing employee task performance, improving learning agility, and ensuring a higher rate of employee retention, realizing the significance of each element in developing organizational goals and success. Keywords: perceived employability, employee task performance, employee retention, career resilience, learning agility.

Development of the accounting practicum e-book and analysis of student responses to its use

This study aims to develop an E-Book for accounting practicum and evaluate user responses to its implementation. A needs analysis revealed that 48 out of 51 students lacked access to learning resources and required instructional media, correlating with their suboptimal learning outcomes. The research utilizes a Research and Development (R&D) approach, specifically employing the 4D model. The Technology Acceptance Model (TAM) Questionnaire was administered to gauge user feedback. The participants included 51 eleventh-grade students from SMKS Filadelfia Pemangkat. Data analysis involved both qualitative and quantitative descriptive methods to address the research questions regarding the E-Book's design, user feedback, and any significant disparities in responses based on socio-economic status. The E-Book, developed using Canva and edited with Heyzine, comprises 2 chapters, 4 videos, 2 Excel files, and 2 online quizzes. User responses from small and large group trials were overwhelmingly positive, categorized as "Strongly Agree." Further analysis indicated that students from higher socio-economic backgrounds had a higher median score (3.95) compared to those from moderate (3.50) and underprivileged backgrounds (3.00). These findings suggest significant differences in user responses based on socio-economic status.

The Mediating Role of Brand Love between Brand Personality and Brand Loyalty: A Study on SMEs Traditional Woven Fabric in Indonesia

This paper aimed to examine the impact of brand personality dimensions (sincerity, excitement, and competence) on brand loyalty. In addition, the role of brand love is explored through mediation models. A total of 384 valid and usable responses collected from a consumer of Traditional SME Traditional Woven fabric in Indonesia were analyzed through the structural equation model (SEM). A research model examined several hypotheses underpinned by multidimensional brand loyalty and interpersonal love. The findings showed that sincerity and competence had a significant impact on brand loyalty and brand love, but excitement had no significant impact on brand loyalty and brand love. Moreover, brand love mediated the relationship between sincerity and competence, but excitement had an insignificant impact. The results of this study indicate that small and medium-sized enterprises (SMEs) in the traditional woven fabric industry should foster emotions to establish a robust consumer-brand connection. Furthermore, it is critical to prioritize the development of robust attributes, as traditional woven textiles possess deeply ingrained cultural significance. This study contributes to the current knowledge of brand loyalty literature by exploring the characteristics of brand personality and brand love. The findings imply that when consumers' brand personality is mixed with brand love, it will result in increased loyalty towards the brand.

Personal Characteristics of Youths and Their Influences on Sexual Health Information Seeking

The primary aim of this research is to examine how youths in the Klang Valley utilize social media to seek information about sexual health issues, particularly premarital heterosexuality. By investigating this relatively unexplored area, the study aims to address a gap in the existing literature concerning the use of social media as a technology to seek sexual health information among youths in the Klang Valley. A survey technique was employed to collect data from youths aged between 18 and 24 years old who knew about sexual health issues caused by premarital heterosexuality. Three hundred eighty-four usable responses were received and analyzed using appropriate statistical procedures. The Partial Least Squares Structural Equation Modeling (SmartPLS 4.0) technique was used to test the research model. The study confirmed that user personal characteristics, which were problem recognition and involvement, enabled youths in the Klang Valley to seek sexual health information through social media. The empirical results of this study also led to several significant findings. The findings indicated that user personal characteristics directly influenced the use of social media for sexual health information. The platform's usefulness and abundance of sexual health information aided youths in the management of sexual health issues. Overall, social media plays an essential role as a platform for youths to seek sexual health information in Malaysia. Keywords: Premarital heterosexuality, youth, social media, Technology Acceptance Model, information-seeking.

Impact of External Auditors’ Ethical Behavior on Audit Quality: A Client Perspective

Purpose: This study explores the impact of external auditors' ethical behavior on audit quality, with a particular focus on the perspectives of internal auditors in publicly listed Pakistani companies. It aims to address the gap in literature concerning the interplay between ethical behavior, corporate ethical values, and perceived audit quality. Design/Methodology/Approach: Using Structural Equation Modeling (SEM), the study examines the direct and indirect effects of external auditors' ethics on audit quality, with corporate ethical values as a moderating factor. Data were collected via a mail survey and Google Forms from auditors in listed Pakistani firms, yielding 232 usable responses (61% response rate). The analysis utilized SPSS and AMOS for reliability, validity, factor analysis, regression, and correlation. Findings: Results reveal a positive relationship between ethical behavior and perceived audit quality, amplified by strong corporate ethical values. Companies prioritizing ethics reported enhanced audit quality, providing valuable insights for regulators and auditors. Implications/Originality/Value: This research contributes to the understanding of ethical behavior in audit quality, offering actionable insights for improving ethical standards in audit practices. The findings are pertinent for regulatory bodies, auditors, and policymakers aiming to strengthen financial disclosure integrity in Pakistan

How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments.

Generative artificial intelligence in general and ChatGPT in particular have risen in importance. ChatGPT is widely known and used increasingly as an information source for different topics, including science. It is therefore relevant to examine how ChatGPT portrays science and science-related issues. Research on this question is lacking, however. Hence, we simulate "interviews" with ChatGPT and reconstruct how it presents science, science communication, scientific misbehavior, and controversial scientific issues. Combining qualitative and quantitative content analysis, we find that, generally, ChatGPT portrays science largely as the STEM disciplines, in a positivist-empiricist way and a positive light. When comparing ChatGPT's responses to different simulated user profiles and responses from the GPT-3.5 and GPT-4 versions, we find similarities in that the scientific consensus on questions such as climate change, COVID-19 vaccinations, or astrology is consistently conveyed across them. Beyond these similarities in substance, however, pronounced differences are found in the personalization of responses to different user profiles and between GPT-3.5 and GPT-4.

Intention to Use FinTech Payments: The Perspectives of Benefits, Risks, and Openness to Change

Objective - The COVID-19 pandemic has significantly transformed many aspects of daily life, including the way payments are made. While the usage of cashless payments has increased, cash remains the main mode of payment in Malaysia. Therefore, this study aims to explore the factors driving the intention to use FinTech payments based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with the Value-based Adoption Model (VAM). Methodology/Technique – 546 usable responses were collected using a stratified sampling technique across 13 states in Malaysia. Then, structural equation modeling using the partial least squares approach was applied to test the hypotheses. Finding – The findings show that performance expectancy, effort expectancy, social benefit, privacy risk, and openness to change are the significant determinants of intention to use FinTech payments. Openness to change was found to be the most significant predictor of intention to use FinTech payments. However, the study failed to confirm the impact of social influence, economic benefit, security risk, and regulatory support on the intention to use FinTech payments. This study does not fully validate the significance of UTAUT and VAM constructs. Novelty – To the best of our knowledge, this is the first study that uses the UTAUT and VAM on intention to use FinTech payments together with openness to change and regulatory support. This is a framework that covers the decision-making determinants from the perspectives of benefits, risks, individual characteristics, and the external environment. Type of Paper: Empirical JEL Classification: G23, G28, G29 Keywords: FinTech Payment, Intention to Use, UTAUT, VAM, Benefits, Risks Reference to this paper should be referred to as follows: Chen, N.H; Habibullah, M.S; Sapar, R. (2024). Intention to Use FinTech Payments: The Perspectives of Benefits, Risks, and Openness to Change, GATR-Global J. Bus. Soc. Sci. Review, 12(3), 91–113. https://doi.org/10.35609/gjbssr.2024.12.3(1)

Is a web-based Thai version of the work-related quality of work-life scale-2 a reasonable alternative to the paper-based version?

ABSTRACT This study investigates the suitability of a Thai web-based assessment tool for comprehensively evaluating the Work-Related Quality of Life (WRQoL). A descriptive study was conducted. The web-based questionnaire was distributed to health workers at the University Hospital of the Faculty of Medicine at Khon Kaen University, Khon Kaen, Thailand, via convenience sampling, yielding 290 usable responses after data cleaning. IBM SPSS and AMOS performed Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). The results revealed enhanced internal consistency upon excluding 1 item (Q24) and delineated dimensions into 5 categories: homework interface and working conditions web-based (HWCW), web-based job and career satisfaction (JCSW), web-based general well-being (GWBW), web-based control at work (CAWW), and web-based stress at work (SAWW). This web-based assessment tool has potential advantages in technological convenience and interpretation accuracy. It offers a robust framework for assessing WRQoL dimensions and advancing workplace well-being assessment methodologies.