scholarly journals User Perceptions of Mobile Banking Apps in Tanzania: Impact of Information Systems (IS) Factors and Customer Personality Traits

Author(s):  
Daniel Ntabagi Koloseni

This study probes the roles that information systems (IS) success factors and user personality traits play in Tanzanian users’ perceptions of their experiences with mobile banking apps. Based on a survey of 249 mobile banking customers, the study finds that users are being positively influenced by the apps’ system quality and system service, but not by the apps’ information quality. The study also finds that, with respect to user personality traits, openness, agreeableness, conscientiousness and extraversion are all traits that have a positive impact on customers’ use of, and satisfaction with, mobile banking apps. The findings suggest that developers of mobile banking apps for the Tanzanian market need to both improve the quality of the information in the apps and continue to target a range of personality traits.

2016 ◽  
Vol 12 (2) ◽  
pp. 258
Author(s):  
Babur Hayat Malik ◽  
Cai Shuqin ◽  
Saqib Qamar ◽  
Butt Mattiullah

Objective of this article is to investigate the success (by determining citizen’s intention to use and satisfaction) of Land Record Information Systems (LRMIS) from perspective of Pakistan. The success of this egovernment information system is investigated using an incorporated IS success model. Model formulated here features constructs such as System Quality, Service Quality, and Information Quality, Perceived Risk, Perceived Ease of Use, Perceived Satisfaction, Perceived Usefulness, Awareness, Trust, Information Security and Behavioral Intention. The suggested incorporated research model of IS was validated using feedbacks taken from 250 citizens across different cities of Pakistan. Verifiable findings showed the positive and substantial linkage between all 17 hypothesized associations of 10 different constructs. Validated data-based outcomes and argumentations provided in this research can help government to enrich upon and to completely avail the potentiality of LRMIS as serviceable and an effective computer system toward a digital, secure, lucid and uncorrupted society.


2016 ◽  
Vol 33 (2) ◽  
pp. 169-189 ◽  
Author(s):  
Jian Mou ◽  
Jason F. Cohen

We examine consumers’ early stage trust beliefs for effects on perceptions of information and system quality, later stage trust, satisfaction and usage intentions in the context of online health services. Using a longitudinal research design, data was collected from a sample of undergraduates during two time periods, approximately five weeks apart. Results show that trust in the website influences trust in the e-service provider at both early and later stages. Perceptions of system and information quality depend on trust, while trust and satisfaction are important to continued usage intentions. Results are important for understanding how trust interacts with IS success factors.


PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5483 ◽  
Author(s):  
Meinald T. Thielsch ◽  
Sarah M. Meeßen ◽  
Guido Hertel

Digitalization of work processes is advancing, and this is increasingly supported by complex information systems (IS). However, whether such systems are used by employees largely depends on users’ trust in these IS. Because there are few systematic studies on this topic, this research provides an initial exploration and validation of preconditions for trust in work-related IS. In Study 1, N = 30 professionals were asked to describe occupational incidents in which they had highly trusted or distrusted an IS. Content analysis of 111 critical incidents described in the in-depth interviews led to 12 predictors of trust and distrust in IS, which partly correspond to the structure of the established IS success model (Delone & McLean, 2003) but also exceed this structure. The resulting integrative model of trust in IS at work was validated in Study 2 using an online questionnaire with N = 179 professionals. Based on regression analyses, reliability (system quality) and credibility (information quality) of IS were identified as the most important predictors for both trust and distrust in IS at work. Contrasting analyses revealed diverging qualities of trust and distrust in IS : whereas well-being and performance were rated higher in trust events, experienced strain was rated higher in distrust events. Together, this study offers a first comprehensive model of trust in IS at work based on systematic empirical research. In addition to implications for theory advancement, we suggest practical implications for how to support trust and to avoid distrust in IS at work.


2021 ◽  
Vol 10 (2) ◽  
pp. 259-263
Author(s):  
Agustinus Suradi ◽  
Marina Windarti ◽  
Syams Kurnaiawan Hidayat

Strategi pengembangan sistem informasi perlu dievaluasi untuk mendukung keberhasilan dan kualitas layanan sistem informasi penerimaan mahasiswa baru. Ada ketidakpuasan pengguna SI-PMB dalam mendapatkan informasi yang mereka inginkan. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh kualitas informasi, kualitas sistem, kualitas layanan terhadap manfaat bersih SI-PMB. Model DeLone McLean IS Success digunakan dalam penelitian ini, dengan komponen variabel: kualitas informasi, kualitas sistem dan kualitas layanan. Analisis data menggunakan model struktural dengan alat analisis Partial Least Square. Hasil penelitian ini menunjukkan bahwa tidak terdapat hubungan yang positif dan signifikan antara variabel kualitas informasi dengan kepuasan pengguna nilai statistik T sebesar 0,426. Ada hubungan yang positif dan signifikan antara variabel kualitas sistem dan kepuasan pengguna dengan statistik T 3,103. Terdapat hubungan yang positif dan signifikan antara variabel kualitas pelayanan dengan kepuasan pengguna, nilai T statistic sebesar 2,604. Hubungan antara variabel kepuasan pengguna dan manfaat bersih, nilai statistik t sebesar 9,294 menyatakan bahwa terdapat hubungan yang positif dan signifikan antara variabel kepuasan pengguna dengan manfaat bersih.


2021 ◽  
Vol 23 (2) ◽  
pp. 154-170
Author(s):  
One-Ki Daniel Lee ◽  
Ramakrishna Ayyagari ◽  
Farzaneh Nasirian ◽  
Mohsen Ahmadian

PurposeThe rapid growth of artificial intelligence (AI)-based voice-assistant systems (VASs) has created many opportunities for individuals to use VASs for various purposes in their daily lives. However, traditional quality success factors, such as information quality and system quality, may not be sufficient in explaining the adoption and use of AI-based VASs. This study aims to propose interaction quality as an additional, yet more important quality measure that leads to trust in an AI-based VAS and its adoption. Design/methodology/approachThe authors propose a research model that highlights the importance of interaction quality and trust as underlying mechanisms in the adoption of AI-based VASs. Based on survey methodology and data from 221 respondents, the proposed research model is tested with a partial least squares approach. FindingsThe results suggest that interaction quality and trust are critical factors influencing the adoption of AI-based VASs. The findings also indicate that the impacts of traditional quality factors (i.e. information quality and system quality) occur through interaction quality in the context of AI-based VASs. Originality/valueThis research adds interaction quality as a new quality factor to the traditional quality factors in the information systems success model. Further, given the interactive nature of VASs, the authors use social response theory to explain the importance of the trust mechanism when individuals interact with AI-based VASs. Contribution to Impact


2018 ◽  
Vol 10 (4) ◽  
pp. 1-17
Author(s):  
Zuoning Xu ◽  
Tao Zhou

The social capital embedded within the social network relationships among users may facilitate their continued usage of mobile SNS. However, how to develop social capital remains a question. In this article, the authors incorporated three factors of system quality, information quality, and service quality from the information systems (IS) success model to examine their effects on social capital in mobile SNS. The results indicate that these three factors have significant effects on social capital, which includes structural capital, relational capital, and cognitive capital. The results imply that service providers need to improve users' technological perceptions in order to develop social capital and facilitate their continuance of mobile SNS.


10.28945/3891 ◽  
2017 ◽  
Vol 12 ◽  
pp. 309-335 ◽  
Author(s):  
Shamsudeen Ladan Shagari ◽  
Akilah Abdullah ◽  
Rafeah Mat Saat

Aim/Purpose: The purpose of this study is to investigate the interrelationship among the quality measures of information system success, including system quality, information, quality, and service quality, that eventually influence accounting information systems effectiveness. Background: It is generally believed that investment in an information system offers opportunities to organizations for business process efficiency and effectiveness. Despite huge investments in accounting information systems, banks in Nigeria have not realized the full potential benefits of using these systems because of persistent failures. Few studies have been conducted to address the problem. Methodology: A survey research design was used to collect data, and a total of 287 questionnaires were retrieved from respondents in the Nigerian banking sector. Contribution: This study contributes to the understanding of the most important antecedent factors of the quality measures, the interrelationship among the quality measures, and the influence of these measures on the accounting information systems effectiveness. Findings: The result of the study revealed that security, ease of use, and efficiency are key features of system quality, while the information quality dimension includes accuracy, timeliness, and completeness. The result of the study further revealed that information quality and system quality have significant influences on accounting information systems effectiveness. Recommendations for Practitioners: This study provides practitioners with important measures for evaluation of AIS effectiveness in the context of Nigerian banks. Recommendation for Researchers: Future researchers may build on the findings of current study to conduct fur-ther research in the area of AIS effectiveness in different contexts. Future Research: This study examines only three quality measures of Delone and Mclean model and antecedents of information and system quality measures, neglecting contingency factor. Therefore, future study should include other factors to the AIS effectiveness model to help in developing more specific theory in AIS domain.


Author(s):  
Javier N. Montero ◽  
Mary L. Lind

Business intelligence systems are highly complex systems that senior executives use to process vast amounts of information when making decisions. Business intelligence systems are rarely used to their full potential due to a poor understanding of the factors that contribute to system success. Organizations using business intelligence systems frequently find that it is not easy to evaluate the effectiveness of these systems, and researchers have noted that there is limited scholarly and practical understanding of how quality factors affect information use within these systems. This quantitative post positivist research used the information system (IS) success model to analyze how information quality and system quality influence information use in business intelligence systems. This study was also designed to investigate the moderating effects of maturity constructs (i.e., data sources and analytical capabilities) on the relationships between quality factors and information use.


2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Sigit Kurnianto ◽  
Deddy Kurniawansyah ◽  
Wulandari Fitri Ekasari

This study aims to test the success Siskeudes by developing a successful model of the DeLone and McLean information systems into seven dimensions. The population was 151 siskeudes operatos in the village goverments Gresik, Nganjuk, Situbondo. The sampling used in this study a sensus method. Source of data is primer data, obtained questioner from respondend. This study used structural equation modeling (SEM). The results obtained in this study is system quality has a effect on system satisfaction, information quality has a effect on information satisfaction, usefulness has a effect on system satisfaction and information satisfaction, system satisfaction has effect on individual impacts, information satisfaction has a effect on conflict intentions, individual impacts has a effect on organizational impacts, except information qualityto usefulness, system quality to information satisfaction, usefulness to individual impacts, usefulness to organizational impact, system satisfaction to organizational impact, information satisfaction to organizational impact. In addition, the test results show that there are nine pathways that have additional influence through indirect pathways. This finding becomes the basis for the development of a successful model of information systems in eGovernment, for regulators to develop and manage strategies for implementing the Siskeudes application, and as a guide for evaluating the success of Siskeudes.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
John M. Sausi ◽  
Erick J. Kitali ◽  
Joel S. Mtebe

Purpose This study aims to adapt the updated DeLone and McLean model to evaluate the success of the local government revenue collection and information system (IS) implemented in Tanzania. Design/methodology/approach The study used a concurrent mixed research design integrating quantitative and qualitative data within a single investigation. A total of 296 users from local government authorities (LGAs) in 5 regions in Tanzania participated in the study. Findings The study found that the system quality and information quality had a significant positive impact whilst service quality and trust in the system had a significant negative effect. In contrast, facilitating conditions did not have an effect whatsoever. The findings from the open-ended questions and implications of the findings are discussed. Originality/value The findings from this study will help LGAs understand the factors that affect the success of the ISs in developing countries. The results indicate that in addition to information technology attributes, building trust in the system is crucial to foster user satisfaction and increase the public value of the systems.


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