Efektifitas Sistem Informasi Manajemen Bagi Pengguna Internal (Studi Kasus Pada PT Bank Lampung)

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Alhibarsyah Alhibarsyah ◽  
Keyword(s):  
Information Technology ◽  
Structural Equation ◽  
Information Needs ◽  
Information Quality ◽  
Service Providers ◽  
Statistical Technique ◽  
Population Based ◽  
Equation Modeling ◽  
Observation Data ◽  
Technology System

Abstract To fulfill information needs that are relevant, fast, and accurate, the application of information technology, especially computer-based is inseparable from the role of the three basic components of a computer. The success model of the information technology system developed by DeLone & McLean quickly received a response. PT. Bank Lampung as one of the banking service providers in Lampung, is the object of research to determine how variables affect the level of Quality System, Information Quality, Service Quality, Use and Satisfaction and Use of Benefits, to determine the level of effectiveness in PT Bank Lampung's internal customer management information system. SEM (Structural Equation Modeling) is a multivariate statistical technique that is a combination of factor analysis and regression analysis (correlation), which aims to examine the relationship between variables in the model. To explain the overall relationship that exists between the variables in this study using AMOS software (Moment Structure Analysis). This shows that the sample variance-covariance matrix (observation data) I s the same as the estimated matrix of variance-covariance (population) based on the model built, it is expected that the results of this study KI significantly influence P, KI significantly affects KP, KS influences significant impact on P, significantly affecting KS KP, KL significantly affected P, KL significantly affected KP, P significantly affected KP, P significantly affected M, KP significantly affected M.

A novel extended design thinking approach and predicting antecedents of food friend application acceptance during the COVID-19 outbreak

foresight ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nattaporn Thongsri ◽  
Pattaraporn Warintarawej ◽  
Santi Chotkaew ◽  
Jariya Seksan
Keyword(s):  
Consumer Behavior ◽  
Structural Equation ◽  
Information Quality ◽  
Design Thinking ◽  
Service Providers ◽  
Food Delivery ◽  
Equation Modeling ◽  
Business World ◽  
Content Type ◽  
The Real

Purpose The purpose of this paper is to develop a prototype of Online Food Delivery Application that addresses the actual needs of the user and to study the factors affecting the acceptance of Food Friend Application (FFA). Design/methodology/approach This is an applied research study using design thinking to study the real needs of consumers when ordering food online during the COVID-19 outbreak. The real needs of customers were used to create FFA. Then, the key predictors of FFA adoption were studied by integrating psychological variables, including Alertness to distinction, Openness to novelty, Orientation in the present; and Technological variables Design, Information Quality and Mobility, with comprehensive data analysis. Initially, Structural Equation Modeling was used to study the statistical relationships toward FFA acceptance, while a neural network model was used to validate the first step analysis. Findings Analysis results from both methods confirmed that Alertness to distinction, Orientation in the present, Mobility and Openness to novelty affected FFA at statistically significant levels. Surprisingly, technological variables in terms of Design and Information Quality had no statistical relationship toward FFA. Originality/value In addition to dealing with digital disrupts, the current business world also needs to deal with the pandemic and the rapidly changing consumer behavior. COVID-19 is a clear catalyst for digital business trends, for example, food delivery that has to deal with dramatic changes in consumer behavior. The strong methodological results of this research are greatly beneficial to academics, food online delivery service providers, application developers and government agencies.

scholarly journals What Makes Hosts Trust Airbnb? Antecedents of Hosts’ Trust toward Airbnb and Its Impact on Continuance Intention

2019 ◽  
Vol 59 (4) ◽  
pp. 686-703 ◽  
Author(s):  
Yichuan Wang ◽  
Yousra Asaad ◽  
Raffaele Filieri
Keyword(s):  
Structural Equation ◽  
Information Quality ◽  
Service Providers ◽  
Economic Value ◽  
Sharing Economy ◽  
Social Utility ◽  
Equation Modeling ◽  
System Quality ◽  
Continuance Intention ◽  
Information Systems Success

Sharing economy platforms are growing at an unprecedented rate. Travel and tourism scholars have been focusing on customers’ sharing intention, yet the literature has largely overlooked what makes sharing service providers trust a sharing economy platform and decide to continue using it. Drawing on sociotechnical theory and the information systems success model, in conjunction with privacy concerns and economic value perspectives, this study develops an integrated model of antecedents and consequences of trust toward sharing economy platforms. Data from 606 Airbnb hosts were analyzed through structural equation modeling. Our research documents the importance of social antecedents (i.e., social value orientation and social utility), technical antecedents (i.e., system quality, service quality, and information quality), economic antecedents (i.e., monetary rewards) and privacy assurance antecedents (i.e., perceived effectiveness of privacy policy) in shaping hosts’ trust toward Airbnb, thereby enhancing their continuance intention with regard to using the platform.

scholarly journals Determinants of Continuance Intention towards Banks’ Chatbot Services in Vietnam: A Necessity for Sustainable Development

2021 ◽  
Vol 13 (14) ◽  
pp. 7625
Author(s):  
Dung Minh Nguyen ◽  
Yen-Ting Helena Chiu ◽  
Huy Duc Le
Keyword(s):  
Sustainable Development ◽  
Customer Service ◽  
Structural Equation ◽  
Information Quality ◽  
Service Providers ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Continuance Intention ◽  
Information Systems Success

To improve customer experience and achieve sustainable development, many industries, especially banking, have leveraged artificial intelligence to implement a chatbot into their customer service. By integrating DeLone and McLean’s information systems success (D&M ISS) model and the expectation confirmation model (ECM) with the factor of trust, the aim of this study was to investigate the determinants of users’ continuance intentions towards chatbot services in the context of banking in Vietnam. A total of 359 questionnaire surveys were collected from a real bank’s chatbot users and analyzed using structural equation modeling. The findings revealed that users’ continuance intentions towards the banks’ chatbot services were influenced by satisfaction, trust, and perceived usefulness, of which trust had the strongest effect. The results also indicate that information quality, system quality, service quality, and confirmation of expectations had significant effects on three drivers of continuance intention in different ways. Our study contributes to the literature by providing a more comprehensive viewpoint to understand the perceptions and reactions of chatbot users in the post-adoption stage. The results of this study also yield several key suggestions for banking service providers on how to increase their customers’ intentions to continue using chatbot services, serving as a basis for long-term and sustainable development strategies in the current digital era.

Leveraging Process Innovation with Business Analytics

2016 ◽  
Vol 8 (3) ◽  
pp. 63-75
Author(s):  
Marcos Paulo Valadares de Oliveira ◽  
Claudia Xavier Cavalcanti ◽  
Marcelo Bronzo Ladeira ◽  
Kevin P McCormack
Keyword(s):  
Information Technology ◽  
Structural Equation ◽  
Information Quality ◽  
Process Innovation ◽  
Equation Modeling ◽  
Future Research ◽  
Business Analytics ◽  
Valuable Resource ◽  
Resources And Capabilities

Although recognized as increasingly relevant, the relationships between analytical orientation and process innovation are still unclear, specifically the role of analytical resources and capabilities in this association. This paper presents the results of empirical research conducted to investigate these complex links. The empirical data was drawn from 81 companies of different sectors in Brazil. Data analysis was mainly based on path analysis with structural equation modeling. The findings of this study indicate that analytical orientation can leverage process innovation. Moreover, information quality is somehow a more valuable resource to analytical orientation than information technology, and that analytical capabilities, especially analytical leadership, were proven to be more important to sustain analytical orientation than companies' analytical resources. Another important result, also with considerable repercussion in future research on the theme, was the predictive relevance of analytical capabilities for analytical orientation. This was much higher than the predictive relevance shown by analytical resources.

Understanding Customers' Continuance Intention

2021 ◽  
Vol 52 (2) ◽  
pp. 68-93
Author(s):  
Bangaly Kaba
Keyword(s):  
Information And Communication Technologies ◽  
Structural Equation ◽  
Service Providers ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Internet Service ◽  
Digital Inequality ◽  
Internet Users ◽  
The Difference ◽  
Use Behavior

The purpose of this study is to understand the difference between Internet users' continuing use behavior in the context of digital inequality. Data were collected through a survey of Internet users in the Ivory Coast. The structural equation modeling technique was used to test the research hypothesis. This study showed empirically that concern over information and communication technologies (ICT) access as an explanation for digital inequality should be toned down. This research suggests emphasizing alternative factors to explain Internet sustained use intention by underprivileged individuals, including normative beliefs. The results will help internet service providers, governments, and international aid agencies to better understand users' behaviors or reactions to ICT available to them. This understanding provides a foundational platform upon which viable and effective information technology-enabled solutions and policies can be conceptualized and implemented. This study is one of the few that integrate three salient beliefs to differentiate ICT use continuance intention in the context of digital inequality.

scholarly journals Structural equation modeling to shed light on the controversial role of climate on the spread of SARS-CoV-2

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alessia Spada ◽  
Francesco Antonio Tucci ◽  
Aldo Ummarino ◽  
Paolo Pio Ciavarella ◽  
Nicholas Calà ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Population Density ◽  
Structural Equation ◽  
Climatic Factors ◽  
Demographic Data ◽  
Factor Loading ◽  
Statistical Technique ◽  
Global Scale ◽  
Equation Modeling ◽  
Relevant Role

AbstractClimate seems to influence the spread of SARS-CoV-2, but the findings of the studies performed so far are conflicting. To overcome these issues, we performed a global scale study considering 134,871 virologic-climatic-demographic data (209 countries, first 16 weeks of the pandemic). To analyze the relation among COVID-19, population density, and climate, a theoretical path diagram was hypothesized and tested using structural equation modeling (SEM), a powerful statistical technique for the evaluation of causal assumptions. The results of the analysis showed that both climate and population density significantly influence the spread of COVID-19 (p < 0.001 and p < 0.01, respectively). Overall, climate outweighs population density (path coefficients: climate vs. incidence = 0.18, climate vs. prevalence = 0.11, population density vs. incidence = 0.04, population density vs. prevalence = 0.05). Among the climatic factors, irradiation plays the most relevant role, with a factor-loading of − 0.77, followed by temperature (− 0.56), humidity (0.52), precipitation (0.44), and pressure (0.073); for all p < 0.001. In conclusion, this study demonstrates that climatic factors significantly influence the spread of SARS-CoV-2. However, demographic factors, together with other determinants, can affect the transmission, and their influence may overcome the protective effect of climate, where favourable.

Adolescent religiousness and its influence on substance use: preliminary findings from the Mid-Atlantic School Age Twin Study

Twin Research ◽  
1999 ◽  
Vol 2 (2) ◽  
pp. 156-168 ◽  
Author(s):  
Brian M D'Onofrio ◽  
Lenn Murrelle ◽  
Lindon J Eaves ◽  
Michael E McCullough ◽  
Jessica L Landis ◽  
...  
Keyword(s):  
Substance Use ◽  
Drug Use ◽  
Problem Behavior ◽  
Twin Study ◽  
Structural Equation ◽  
Population Based ◽  
Spiritual Practices ◽  
Equation Modeling ◽  
School Age ◽  
Attitudes And Practices

AbstractResearch has consistently shown that religiousness is associated with lower levels of alcohol and drug use, but little is known about the nature of adolescent religiousness or the mechanisms through which it influences problem behavior in this age group. This paper presents preliminary results from the Mid-Atlantic School Age Twin Study, a prospective, population-based study of 6–18-year-old twins and their mothers. Factor analysis of a scale developed to characterize adolescent religiousness, the Religious Attitudes and Practices Inventory (RAPI), revealed three factors: theism, religious/spiritual practices, and peer religiousness. Twin correlations and univariate behavior-genetic models for these factors and a measure of belief that drug use is sinful reveal in 357 twin pairs that common environmental factors significantly influence these traits, but a minor influence of genetic factors could not be discounted. Correlations between the multiple factors of adolescent religiousness and substance use, comorbid problem behavior, mood disorders, and selected risk factors for substance involvement are also presented. Structural equation modeling illustrates that specific religious beliefs about the sinfulness of drugs and level of peer religiousness mediate the relationship between theistic beliefs and religious/spiritual practices on substance use. Limitations and future analyses are discussed.

Impact of Information Technology Risks on Information Systems Security: A Field Study of Telecommunication Companies in Yemen

2021 ◽  
Vol 27 (1) ◽  
pp. 125-157
Author(s):  
Mohammed A. Alrubaidi ◽  
Nabil Hassan Abdo Al-Hemyari
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Structural Equation ◽  
Negative Impact ◽  
Equation Modeling ◽  
Systems Security ◽  
Telecommunication Companies ◽  
Information And Communication ◽  
Study Population ◽  
The Impact

This study aimed to assess the impact of information technology risks on security of information systems by following an analytical method based on the structural equation modeling (SEM). The study population was seven telecommunication companies in Yemen. A questionnaire was distributed to 356 participants, but only 218 forms were valid for analysis. The data was analyzed by the partial least squares (PLS). The study findings revealed that information technology risks had a negative impact on the security of information systems. The study recommended that the security of information systems should be strengthened so as to maintain the confidentiality of information, its availability and safety from risks, and to cope with speedy developments in information and communication technology.

Utilizing the Push-Pull-Mooring-Habit framework to explore users’ intention to switch from offline to online real-person English learning platform

2019 ◽  
Vol 29 (1) ◽  
pp. 167-193 ◽  
Author(s):  
Yu-Hsin Chen ◽  
Ching-Jui Keng
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Service Providers ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
English Learning ◽  
Content Type ◽  
Learning Platform ◽  
Perceived Price ◽  
Real Person

Purpose The purpose of this paper is to develop an extended Push-Pull-Mooring-Habit (PPMH) framework in order to better understand users’ intention of switching from offline to an online real-person English learning platform service. Design/methodology/approach Based on 301 valid responses collected from an online survey questionnaire, structural equation modeling was employed to examine the research model. Findings The causal model was validated using SmartPLS 3.0, and all study hypotheses were supported. The results show that push effects (learning convenience, service quality and perceived price), pull effects (e-learning motivation, perceived usefulness), mooring effects (learning engagement, switching cost and social presences) and habit effects (relationship inertia) all significantly influence users’ switching intentions from offline to an online real-person English learning platform. Practical implications The findings should help online English learning service providers and marketers to understand the intention of offline English learning users to switch to an online real-person English learning platform, and develop related theories, services and regulations. Originality/value The present study extends the prior research of an online real-person English learning platform by providing PPMH as the general framework and demonstrating its efficacy in explaining user switching intentions.

Deriving managerial implications through SERVQUAL gap elasticity in UAE banking

2018 ◽  
Vol 35 (4) ◽  
pp. 940-964 ◽  
Author(s):  
Mukesh Kumar ◽  
K.S. Sujit ◽  
Vincent Charles
Keyword(s):  
United Arab Emirates ◽  
Structural Equation ◽  
Service Providers ◽  
Traditional Approach ◽  
Equation Modeling ◽  
Relative Importance ◽  
Linear Regression Models ◽  
Content Type ◽  
Managerial Implications ◽  
The Right

Purpose The purpose of this paper is to propose the microeconomics concept of elasticity to estimate the SERVQUAL gap elasticity to derive important insights for service providers to develop the right strategies to bridge the overall gap in service. Design/methodology/approach The dimensions of SERVQUAL adopted from Parasuraman et al. (1988) and Kumar et al. (2009) are first verified for their unidimensionality using structural equation modeling and reliability in the context of United Arab Emirates banking industry. Furthermore, the technique of dominance analysis is used to derive the relative importance of dimensions for different groups of banks. Finally, the stepwise log-linear regression models are used to estimate the gap elasticity to measure the responsiveness of the overall SERVQUAL gap to a change in customers’ perception on different dimension. Findings The results reveal that the dimension which is prioritized as the most important dimension need not to be the one to be targeted under the resource constraint to react faster to the changes of customers’ banking behavior. Originality/value This is probably the first attempt to examine the service quality through gap elasticity. This method is especially useful when the traditional approach to measure relative importance of critical factors fails to clearly discriminate between two or more dimensions, which, in turn, may lead to failure in decision making to choose the right strategies to bridge the overall gap in the service.

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