McLean IS Research Articles

Customer adoption of Chat GPT for web development and programming assistance in the Zimbabwe tech industry

ChatGPT, an advanced conversational AI model by OpenAI, signifies a significant leap in human-computer interaction. Optimized for dialogue, ChatGPT has the potential to transform web development and programming support. In Zimbabwe, 60% of IT programmers express concerns about UI/UX design, while 70% face challenges in service quality due to software flaws and inadequate testing. This study investigates ChatGPT's application in Zimbabwe's tech industry for web development and programming support, and its impact on organizational performance. Employing an integrated Delone and McLean IS Success Model, the research examines adoption trends, barriers, and benefits of integrating ChatGPT into development workflows.A quantitative approach was utilized, employing survey data and statistical methods. A 5-point Likert Scale survey was distributed to 30 Zimbabwean ICT workers. Data analysis with SmartPLS 3.0 included descriptive and confirmatory factor analyses to assess reliability (Cronbach's alpha, composite reliability) and validity (factor loadings, AVE, HTMT ratio). Results indicate that ChatGPT significantly influences system, information, and service quality, enhancing user satisfaction and organizational benefits, with system quality exerting the strongest impact. Moreover, system quality positively affects organizational performance, though the moderating role of flexible organizational culture was insignificant. Recommendations include enhancing training data tailored to local technological needs, integrating real-time data sources, offering a paid version for updated data, ensuring robust error handling for service quality, providing educational resources, implementing feedback mechanisms, conducting developer training programs, and promoting cross-functional collaboration.

Mampukah Sistem E-Laporan Meningkatkan Efektivitas Pengawasan Kegiatan Penyuluhan di Kabupaten Sleman?

The extension e-report system is an online system used by field agricultural extension workers in Sleman Regency to report their extension activities every month online through the www.penyuluhan.jogjaprov.go.id website. This study aims to examine the influence of system quality on system use, inspect the influence of system quality on user satisfaction, test the influence of information quality on system use and user satisfaction, the influence of system use on user satisfaction, the influence of user satisfaction on system use, the influence of system use on individual impact and the influence of satisfaction users to individual impacts using the DeLone & McLean IS Success Model. The quantitative research method is carried out in all Agricultural Food and Fisheries Extension Center (BP4) in Sleman Regency, Yogyakarta Province, with 90 respondents in field agricultural extension taken using the census technique—the research analysis using SEM PLS with SmartPLS 3.0 software. The results of the study show that (1) the quality of the system does not affect the use of the system. (2) The system’s quality does not affect user satisfaction. (3) The quality of information affects the use of the system. (4) The quality of information affects user satisfaction. (5a) The use of the system affects user satisfaction. (5b) User satisfaction affects the use of the system. (6) Using the system affects the impact of the Individual. (7) User satisfaction affects individual impact. The research results are expected to provide input for improving this e-report system to make the supervision process more effective.

Farmers’ adoption and effects of three aspects of agricultural information systems in emerging economies: microanalysis of household surveys

Agricultural information systems have the potential to provide various benefits to users, especially farmers. However, it remains uncertain whether the three dimensions of agricultural information systems—system quality, information quality, and service quality—can contribute to farmers’ perceived usefulness and perceived ease of use, thus influencing their intention to adopt these systems. We have developed a research framework that combines the Technology Acceptance Model and the Delone and McLean IS Success Model to elucidate the factors shaping farmers’ adoption of agricultural information systems in Vietnam. Field survey data were collected from a sample of 570 farmers in four midlands and mountainous provinces of northern Vietnam. Structural equation modelling was employed for the analysis. The results indicate that the three aspects of agricultural information systems directly enhance farmers’ adoption intentions, or they have a positive correlation with perceived usefulness and perceived ease of use, indirectly promoting such adoption intentions. The findings of this study underscore the importance for system developers and policymakers to prioritize the creation of reliable and user-friendly agricultural information systems that can address emerging issues during farmers’ use, thereby supporting their adoption.

Adoption of Human Resource Information Systems

This research investigated the critical factors influencing the successful adoption of E-HRM systems. Leveraging an updated DeLone and McLean IS Success Model, the impact of system quality, information quality, and service quality on system usage and user satisfaction were explored, ultimately linking these factors to E-HRM adoption success. A quantitative approach was employed, with data collected through a meticulously designed survey distributed to employees. Structural equation modeling (SEM) facilitated a rigorous analysis of the relationships between variables, while descriptive statistics painted a clear picture of the data landscape. SmartPLS 4.0 served as a robust tool for data analysis. The findings revealed a compelling narrative. Six of the nine hypotheses achieved significance, highlighting the direct and indirect influences of system quality, information quality, and service quality on system usage and user satisfaction. Notably, system usage emerged as a vital mediating variable, bridging the gap between system attributes and successful adoption. This underscores the pivotal role of encouraging user engagement and positive system experiences. Furthermore, the analysis unveiled a fascinating interconnectedness among all six variables. Each element, like a meticulously interwoven thread, contributes to the tapestry of successful E-HRM adoption. This interplay emphasizes the importance of a holistic approach, where no single factor reigns supreme but rather a harmonious synergy propels the system toward success. In conclusion, this study offers valuable insights for optimizing E-HRM implementation. High-quality systems with accurate and user-centric information, coupled with exceptional service, pave the way for a thriving E-HRM environment. By fostering user engagement and nurturing a holistic approach that recognizes the interconnectedness of key factors, organizations can unlock the true potential of their E-HRM systems, transforming them into catalysts for success.
 Keywords: E-HRM, system quality, system use, user and system satisfaction

A Mixed-Method Approach to Post-Implementation Success of Technology Performance in UAE Universities: Assessing DeLone and McLean IS Success Model

Technology brings tremendous changes in education because it is a system that automates all educational institutions and academic performance. Therefore, the study examines the effect of technology’s system, information and service quality on faculty, operational and university performance. To explore the more contextual factors, this study empirically and theoretically tested a proposed model by the D&M theory of IS among UAE universities. The study employed mixed-method research using a sequential explanatory research design. Using a designed survey questionnaire, the study targeted 512 faculty members and conducted 10 semi-structured face-to-face interviews with faculty members of 27 UAE universities. The results reported that system, information, and service quality significantly influenced faculty performance. In addition, system quality strongly affects faculty performance, which is the most necessary part of successful technology implementation. Faculty performance significantly influences operational and university performance; surprisingly, it has the strongest influence on operational performance. In turn, operating performance has a significant impact on university performance. The study further identified four contextual factors, that is, external, individual, organizational, and technical. The study put the novel ideas by contributing performance-level measures that support Delone and Mclean’s IS success model to successfully operationalize the university’s actual performance. The research uniquely extends the D&M IS success model to assess technology implementation success at individual, operational, and organizational levels within UAE universities, touching previously unexplored areas of post-implementation evaluation. University management in the UAE should prioritize enhancing service, system, and information quality to bolster faculty performance, leading to improved operational and overall organizational outcomes.

Analyzing the Quality of Academic Information Systems on System Success

Since the needs for academic management are always changing, the creation of academic information systems must focus on user benefits and satisfaction in order to gauge how successful academic management systems are. This research uses the Delone and McLean IS Success Model which is known as one of the system success models, so the aims to ascertain the effects of system, information, and service quality, as well as usage rate, on benefits and user satisfaction SIAKAD system. Respondents were determined using the Slovin formula and taken using proportionate stratified random sampling techniques as many as 100 people. Descriptive analysis was carried out to explain respondents' perceptions and evaluate the success of the system using Three levels of communication were used to measure the success of the system: technical, semantic, and effectiveness levels. The Delone and Mclean IS Success Model's variable relationships were investigated using SEM-PLS analysis. Hypothesis testing results indicate that User Satisfaction is significantly impacted by Information; System; and Service Quality, then Information Quality also significantly affects Usage; and Net Benefits are significantly impacted by User Usage and Satisfaction; however, neither System Quality nor Service Quality significantly affects Use or Use on User Satisfaction.

Application of Technology Acceptance Model and Delone and McLean IS Success Model to Measure Information System Design for Academic Activities in Higher Education Institution

The purpose of this study is to investigate the variables that may affect how well the academic information system performs. Quantitative approaches are employed in this study. The basic random sampling technique was used in this study to get samples from the community of academic information system users. There were 100 samples used in this investigation. The Technology Acceptance Model (TAM) and the Delone & Mclean model are used in this study. In this study, questionnaires were distributed as part of the data collection process. The SmartPLS was used in this study's inferential statistical analysis. According to the analysis results, introducing elements that have the biggest impact namely, perceived ease of use and service quality should be prioritized in order to improve helpdesk services in academic information systems. This involves establishing a report ticket function to resolve user complaints and offer updates on problem resolution, as well as optimizing academic information system for mobile displays to promote simple access to various academic information system -related demands. Perceived ease of use on perceived usefulness (path coefficient value: 0.79); service quality on perceived ease of use (path coefficient value: 0.79); user satisfaction on net benefits (path coefficient value: 0.74); and system quality on net benefits (path coefficient value: 0.03), are the variables that have the biggest influence in this research.

How Does IT Enhance Hotel Operations and Management During COVID-19 Based on the Delone and McLean IS Success Model

How Does IT Enhance Hotel Operations and Management During COVID-19 Based on the Delone and McLean IS Success Model

Analysis of Acceptance and Success of Digipos Aja Telkomsel in Kalimantan Region Using The Integration of UTAUT and DeLone & McLean Models

The current development of technology and information is driving various business sectors to undergo transformation. Telkomsel continues to strive to enhance ease in providing digital connectivity support solutions. One of these efforts is the establishment of a supply chain ecosystem through the management of Telkomsel resellers by introducing the Digipos Aja application. This research aims to identify factors that influence acceptance and success of implementing Digipos Aja. It employs variables from the Unified Theory of Acceptance and Use of Technology (UTAUT) model and Delone and McLean IS Success model. A mixed methods approach is utilized to integrate quantitative data in order to gain a comprehensive understanding of factors that affect application usage. Quantitative method involves collecting data about usage frequency, user satisfaction levels, and benefits received through a questionnaire distributed to 400 resellers using DigiPOS Aja in the Kalimantan region. Quantitative data is analyzed using Partial Least Square (PLS) and Structural Equation Modeling (SEM) with the data processing tool SmartPLS. The research results indicate that two variables, System Quality and Service Quality, are not significant in relation to Continuance Intention.

Users’ fintech services acceptance: A cross-sectional study on Malaysian Insurance & takaful industry

The emergence of fintech services in the insurance industry has been a transformative force, reshaping how insurance companies operate, how policies are sold, and how customers interact with their insurers. Financial technology developments, also known as "fintech," are changing how financial services are offered, presenting novel possibilities for the insurance industry worldwide. However, in the Malaysian insurance and takaful industry a good number of customers are still dependent on conventional channels like agents and brokers continue to be important sources for purchases and payments related to insurance instead of using Fintech services. The insurance industry's success and growth are highly dependent on adopting technological services offered by companies to make the process efficient and profitable. So, this study aimed to empirically identify the determinants influencing Malaysia's insurance and takaful industry customers to accept the fintech services for insurance-related transactions and activities. The research combined two prominent technology adoption models UTAUT2, and Delone and Mclean IS Success, and proposed a new research framework. The data for the research has been collected from the insurance and takaful industry customers through Google Forms. Finally, 350 responses were received. The PLS-SEM method was utilized to investigate the data by Smart PLS 3.2.9 software. The result of the study revealed that effort expectancy, information quality, service quality, system quality, and perceived risk impact behavioral intention to use fintech services (BI). In addition, the actual use of fintech services is impacted by behavioral intention. Nevertheless, no impact was found in the case of performance expectancy and social influence on BI. The findings of the study are helpful for academicians, researchers, and insurance companies to explore determinants for fintech services acceptance.

User Acceptance Research on The Legal Documentation and Information Network Platform in Majalengka Government

The evaluation of JDIH platform's user acceptance in accessing legal documentation and information has not been conducted, resulting in an average visitation rate of only 15%. The objective of this study is to identify the factors that influence user acceptance of the JDIH platform and provide recommendations for enhancing visitor traffic to the JDIH platform. This study was conducted using a mixed methods approach, incorporating the Technology Acceptance Model as its foundational theory and integrating the Innovation Diffusion Theory, DeLone & McLean IS Success Model, and Habit variables as its external constructs. The quantitative data processing method was conducted using the PLS-SEM method with the assistance of the SmartPLS application. The findings of this study reveal that the factors of relative advantage, habit, perceived benefits of use, and intention to use significantly influence user acceptance in utilizing the JDIH platform.

Analisis the Update D&M IS Success Model Pada Penerapan Sistem Informasi Pemerintahan Daerah (SIPD) pada Kota Sawahlunto

Information technology is growing rapidly not only in the private sector but also by government agencies.The ministry of home affairs regulates a system that is connected and integrated in one system, namely SIPD. By using D&M IS Success Model-based approaches, this paper investigate the success of SIPD. Testing using PLS were applied to data collected by a questionnaire from 93 employees from each OPD in Sawahlunto. In this study, empirically evaluated the model for measuring the success of SIPD of constructs from the updates Delone and Mclean IS Success Model. Four out nine hypothesized relationships between six success variables are significantly supported. The findings of this study can be used to asses the success of SIPD from standpoint of the government employees.

Application of Unified Theory of Acceptance, Use of Technology Model and Delone & Mclean Success Model to Analyze Use Behavior in Mobile Commerce Applications

In order to assist businesses, create more efficient solutions and get the greatest benefits from these applications, this research was undertaken with the primary goal of identifying the elements that influence the behavior of utilizing food service applications and enhancing their use. Three variables from the Delone & Mclean IS Success Model and the measurement model, UTAUT, are used in this study's quantitative methodology. Users of food service applications on the island of Java make up the study's population. A total of 150 people responded to the samples. Purposive sampling was used to collect samples. Data analysis using SmartPLS version 4 and the PLS-SEM methodology. Five of the seven factors examined in the study of interest and usage behavior were found to be valid. This means that the use of food service applications can improve performance, assisted by supporting facilities and systems of good quality, so that it can affect the level of user acceptance of the food service application. This research can provide startups with an understanding of the factors that influence their application usage behavior, with the aim of increasing the acceptance and use of food service applications.

Analisis Kesuksesan Sistem Informasi Manajemen Daerah (SIMDA) dengan Metode Delone dan Mclean Success Model dan Technology Acceptance Model (TAM)

Eight years since the implementation of the Regional Management Information System (SIMDA), there has been no specific research to analyze the information system both in terms of implementation, system quality, user acceptance, and the success of the system in its implementation. This study aims to determine the success of implementing the program at the Bengkulu Provincial DPMD office using the DeLone And McLean IS Success Model and Technology Accepeance Model (TAM) with seven research variables (system quality, information quality, perceived usefulness, perceived ease of use, service quality, user satisfaction, and net benefits). Furthermore, this research provides recommendations that can be used to update SIMDA so that it suits user needs. The seven variables of this study resulted in twelve proposed hypotheses (six were rejected and another was accepted). Six paths of accepted hypothetical relationships are: system quality with ease of use; relationship between information quality and perceived usefulness; relationship between information quality and net benefits; relationship between service quality and perceived ease of use; relationship between perceived ease of use and user satisfaction; and relationship between perceived usefulness and user satisfaction. Meanwhile, the relationship path of the rejected hypotheses is the relationship between system quality and perceived usefulness, the relationship between system quality and net benefits, the relationship between information quality and perceived ease of use, the relationship between service quality and user satisfaction, the relationship between perceived ease of use and perceived usefulness, and the relationship between user satisfaction and net benefits.

Cross-country determinants of citizens' e-government reuse intention: empirical evidence from Kuwait and Poland

PurposeDespite the major information technology investments made by public institutions, the reuse of e-government services remains an issue as citizens hesitate to use e-government websites regularly. The purpose of this study is to investigate the cross-country determinants of e-government reuse intention by proposing a theoretical model that integrates constructs from (1) the Delone and McLean IS success model (i.e. system quality, service quality, information quality, perceived value and user satisfaction); (2) the trust and risk models (i.e. citizen trust, overall risk, time risk, privacy risk and psychological risks); and (3) Hofstede's cultural model (i.e. uncertainty avoidance, masculinity, individualism and cross-cultural trust and risk).Design/methodology/approachBased on data from interviews with 81 Kuwaiti citizens and surveys of 1,829 Kuwaiti and Polish citizens, this study conducted comprehensive, cross-cultural and comparative analyses of e-government reuse intention in a cross-country setting.FindingsThe results show that trust is positively associated with citizens' intention to reuse e-government services, whereas risk is negatively associated with citizens' perceived value. This study also found that masculinity–femininity and uncertainty avoidance are positively associated with the intention to reuse e-government services and that individualism–collectivism has no significant relationship with reuse intention. This study's findings have important implications for researchers and practitioners seeking to understand and improve e-government success in cross-country settings.Originality/valueThis study developed a parsimonious model of quality, trust, risk, culture and technology reuse that captures country-specific cultural contexts and enables us to conduct a comprehensive, cross-cultural and comparative analysis of e-government reuse intention in the cross-country setting of Kuwait and Poland.

PENGUKURAN TINGKAT EFEKTIFITAS SISTEM INFORMASI PERPUSTAKAAN MENGGUNAKAN TEORI DELONE & MCLEAN

The Reading Group of Gelaran Jambu Daar El-fikr or often called Gelaran Jambu was initiated and pioneered in 2008. It's located in Jambu Village, Kayen Kidul District, Kediri Regency. As an alternative education for local residents besides school, it is also a creative community that wants to develop personal potential through book- based education. Gelaran Jambu has more than 3000 books with various titles and genres. Children's books to adult books are available. Since September 2021 Gelaran Jambu has been using Senayan Library Management System (Slims), a web-based open-source application to fulfill library needs. Slims can be accessed for free and modified according to library needs. After the system has been operated for some time, it is necessary to measure its effectiveness to see the extent to which the goals have been achieved. Measuring the effectiveness of information systems using the Delone & Mclean IS Success Model theory with the Structural Equation Modeling (SEM) method. It is using a quantitative approach with descriptive statistical research techniques. The tool used to analyze the data is SmartPLS. The sample data used was 47. The results found three acceptable hypotheses and six hypotheses that were not accepted. The accepted hypotheses are System Quality to usage and User Satisfaction. And Usage to net benefits. Hypotheses that are not accepted: Information Quality to usage and User Satisfaction, Service Quality to usage and User Satisfaction, Usage to User Satisfaction, and User Satisfaction to Net benefits.

The Impact of Quality Factors on Continuous Usage of E-Taxation Filing Reporting System

The electronic taxation (E-Taxation or E-Tax) filing reporting system has undergone several improvements. However, there are still debates regarding the quality of information (IQ), system quality (SYQ), and service quality (SEQ) in the system. These concerns continue to be hotly debated. These concerns include the accuracy of information provided, the availability of the system and its services, and the comprehensiveness and responsiveness of the system, which can result in taxpayers being forced to wait in queues. This study explores the relationship between IQ, SYQ, SEQ, and individual taxpayers' continuous intentional usage of the e-tax system. To achieve this, a theoretical model was developed based on the DeLone and McLean IS Success Model (D&M) concepts, which focused on the targeted issues. The proposed relationship concept was analysed using SmartPLS (v. 3.2.8) on a 768 Nigerian individual taxpayers survey. The study revealed that IQ, SYQ, and SEQ are significant factors that impact taxpayers' intention to use (ITU) and the system's continuous usage (U) in Nigeria. The findings of this study suggest that tax authorities should focus more on technical quality factors to enhance the performance of the e-tax reporting system. Additionally, this study contributes to the existing literature by evaluating the concept of information system quality (ISQ) within the context of e-taxation.

Critical success factors of smart card technology in South African public hospitals

Background: Even though the government has set several admirable targets for raising the standard of healthcare, as highlighted by communities and media reports, public health institutions’ services continue to fall short of patients’ expectations and basic standards of care. For this reason, the general public has lost faith in the healthcare system. The public healthcare system in South Africa is completely dysfunctional and urgently needs to be transformed to serve the majority of those who use public hospitals.Objectives: The study aimed to improve healthcare for the majority of South Africans by investigating the critical success factors (CSFs) that influence the adoption of smart card technology (SCT) in South African public hospitals.Methods: A thorough review of peer-reviewed literature was conducted to determine potential barriers to adopting SCT. Furthermore, a hybrid model that combines the Health Unified Technology of Acceptance Theory (HUTAUT) model, DeLone and McLean IS success model (DM) and the diffusion of innovation (DOI) theory will be developed, validated and tested to identify the CSFs adoption of SCT in public hospitals in South Africa.Results: The validated research model has been developed to be adopted by nurses at public hospitals.Conclusion: This research will contribute to the development of a new framework that identifies the CSFs for SCT adoption in South African public hospitals.Contribution: The study’s results will make a special contribution to the body of knowledge in the fields of health informatics, particularly e-health.

Application of the updated DeLone and McLean IS success method to investigate e-CRM effectiveness

Information and communication technology has a significant influence on employee procedures. Businesses are investing in e-CRM technologies, yet it is difficult to assess the performance of their e-CRM platforms. The DeLone and McLean Information Systems Success framework can be modified to the current e-CRM assessment difficulties. The new framework's different aspects provide a concise framework for organizing the e-CRM key metrics identified in this study. The purpose of this study is to apply and verify that the Updated DeLone and McLean IS Model can be employed to explain e-CRM adoption among employees, along with the extended Updated DeLone and McLean Model with its five output factors, namely system quality, service quality, information quality, ease of use employee satisfaction. For this study, data was collected from 300 employees working on e-CRM and the data were analyzed using PLS-SEM. The experimental framework has a significant effect and shows that most of the hypotheses of the study are supported. Moreover, the framework contributes to the area of the success of e-CRM and individual performance.

Mobile banking usage in the postpandemic era: Demystifying the disparities among divergent user segments in a majority-Muslim country

PurposeThe COVID-19 crisis has sped up digital transformation and technologies by several years. Customers have dramatically shifted to online channels, and businesses have quickly responded by offering additional canals for online shopping and payment. Customers have also been exhibiting greater preferences for contactless payments, and mobile banking has therefore become a norm in both developed and developing countries. This study aims to understand the antecedents of mobile banking actual usage in an early adoption stage setting (i.e. Morocco) through a comprehensive conceptual model combining the unified theory of acceptance and use of technology, the DeLone and McLean IS success model and additional constructs extracted from extent literature. The moderating effects of age, gender and education are also examined and analyzed using multigroup analysis.Design/methodology/approachBased on data collected from 616 Moroccan users, the authors empirically tested the proposed conceptual model using structural equation modeling.FindingsFirst, consumer M-banking actual usage has a significant effect on customer satisfaction and attitudinal loyalty; at the same time, attitudinal loyalty was significantly influenced by customer satisfaction. Second, while M-banking actual usage was significantly influenced by effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit, service quality, trust, attitude and perceived security, the results show no significant impact of system quality and information quality. Third, the relationship between M-banking actual usage and its antecedents was significantly moderated by age, gender and education.Practical implicationsThe findings help bank practitioners to understand the importance of meeting customers’ needs and expectations as a prerequisite in enhancing actual usage, satisfaction and attitudinal loyalty. More importantly, the authors emphasize the need for demographically oriented strategies to target different demographic segments of customers.Originality/valueThe study bridges a gap in M-banking literature by offering a thorough understanding of consumers’ mobile banking use during the pandemic. The findings provide evidence of the applicability of the conceptual model proposed in this research. Furthermore, the reflection of the moderating effects of gender, age and education emphasizes the mobile banking usage disparities among dissimilar demographic segments.