1,152 research outputs found

    Factors affecting net benefit of Google Drive adoption decision : a case study of Thais’ living in Bangkok, Thailand

    Get PDF
    Purpose: The research proceeded to investigate the factors affecting net benefit of google drive adoption decision among Thais living in Bangkok, Thailand. Design/Methodology/Approach: The data were collected from 412 respondents through convenient sampling technique by online questionnaire. Information quality, system quality, service quality, user satisfaction, intention to use and net benefit, validity and reliability of each variables were examined by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Findings: The results showed that user satisfaction has the most direct effect on net benefit. Moreover, information quality, system quality and service quality were indirectly affected on net benefit of google drive. Therefore, google drive serve quality system that matches with customer satisfaction and expectation to improve job efficiency. Practical Implications: Although previous studies have identified on the use of google drive in collaborative business operations. However, the factors behind the use of google drive cloud system and the decisions behind the adaptation would provide useful insights for better understanding of the mechanism. Originality/Value: This research provides advanced recommendations to those who concern on the use of efficient google drive features not only to develop its features, but also to strengthen the smooth and flexible work patterns in organizations.peer-reviewe

    Information Systems Success Research: The “20-Year Update?” Panel Report from PACIS, 2011

    Get PDF
    This article summarizes a panel held at the 15th Pacific Asia Conference on Information Systems (PACIS) in Brisbane, Austrailia, in 2011. The panelists proposed a new research agenda for information systems success research. The DeLone and McLean IS Success Model has been one of the most influential models in Information Systems research. However, the nature of information systems continues to change. Information systems are increasingly implemented across layers of infrastructure and application architecture. The diffusion of information systems into many spheres of life means that information systems success needs to be considered in multiple contexts. Services play a much more prominent role in the economies of countries, making the “service” context of information systems increasingly important. Further, improved understandings of theory and measurement offer new opportunities for novel approaches and new research questions about information systems success

    Mobile Technology Update to Delone and Mclean Model of Information Success

    Get PDF
    Senior managers are challenged to measure the success of their IT systems when justifying technology investments needed to meet the organization â„¢s mission. Due to increasing implementation of mobile technology, enterprise adoption of smartphones is no exception. Traditionally, the DeLone and McLean Information Systems (IS) Success Model has been proven as a valid framework for measuring IS success. However, it has not been updated to address the success variables related to mobile technology. Many studies on mobile technology have reviewed mobile success, but none have attempted theoretical assimilation. This thesis attempts to correct this situation by examining the DeLone and McLean IS Success Model in measuring the efficacy of mobile technology integration within information systems. The result of the literature review is a list of variables related to mobile success in information systems. The findings hope to show that the new variables discovered to be related to mobile technology success are applicable as an update to the DeLone and McLean IS Success Model

    Information systems success research: the "Twenty Year Update?" panel report from PACIS, 2011

    Get PDF
    This article summarizes a panel held at the 15 Pacific Asia Conference on Information Systems (PACIS) in Brisbane, Austrailia, in 2011. The panelists proposed a new research agenda for information systems success research. The DeLone and McLean IS Success Model has been one of the most influential models in Information Systems research. However, the nature of information systems continues to change. Information systems are increasingly implemented across layers of infrastructure and application architecture. The diffusion of information systems into many spheres of life means that information systems success needs to be considered in multiple contexts. Services play a much more prominent role in the economies of countries, making the "service" context of information systems increasingly important. Further, improved understandings of theory and measurement offer new opportunities for novel approaches and new research questions about information systems success

    A framework for the successful implementation of food traceability systems in China

    Get PDF
    Implementation of food traceability systems in China faces many challenges due to the scale, diversity and complexity of China’s food supply chains. This study aims to identify critical success factors specific to the implementation of traceability systems in China. Twenty-seven critical success factors were identified in the literature. Interviews with managers at four food enterprises in a pre-study helped identify success criteria and five additional critical success factors. These critical success factors were tested through a survey of managers in eighty-three food companies. This study identifies six dimensions for critical success factors: laws, regulations and standards; government support; consumer knowledge and support; effective management and communication; top management and vendor support; and information and system quality

    Exploring Organizational Level Continuance of Cloud-Based Enterprise Systems

    Get PDF
    As cloud computing has become a mature technology broadly being adopted by companies across all industries, cloud service providers are increasingly turning their attention to retaining their customers. However, only little research has been conducted on investigating the antecedents of service continuance in an organizational context. To address this gap in research, we carried out a quantitative-empirical study. We developed a conceptual model that builds on previous research on organizational level continuance. We tested this model, using survey data gathered from IT decision makers of companies which have adopted cloud enterprise systems. The data was analyzed using PLS. The results show that continuance intention can be predicted both by socio-organizational and technology-related factors, explaining 55.9 % of the dependent variable’s variance. Besides cloud specific findings, the study also enhances knowledge in the area of organizational level system continuance as well as its connection to IS success

    A Proposal to Elucidate the Net Benefits of Digital Twins in Electrical Generation Facilities: An IS Success Perspective

    Get PDF
    The rapid integration of industrial Internet of things (IoT) technology has enabled widespread adoption of digital twin (DT) technologies. The work herein proposes to understand the net benefits of the DT technologies using the IS Success model. We propose to conduct interviews and surveys of DT users at industrial gas turbine electrical generation facilities to gain a better understanding of the costs and benefits of DTs in electricity generation. In doing so we will revise and the IS success model with the latest research on technology use and extend it to DT technologies

    Evaluating the Benefits of Cloud Computing in Small and Medium Enterprises within Gauteng in South Africa

    Get PDF
    The purpose of this research is to evaluate the benefits of cloud computing to small and medium enterprises (SMEs) within Gauteng in South Africa. A survey was used as a data collection method for this research. The results of this study reveal that cloud computing characteristics may have positive impacts on SMEs’ performances. The results suggest that Information Quality and System Quality characteristics of cloud computing may improve Cloud Computing success by increasing User Satisfaction. The research makes a significance contribution to our knowledge on cloud computing to SMEs

    The Role of Confirmation on IS Continuance Intention in the Context of On-Demand Enterprise Systems in the Post-Acceptance Phase

    Get PDF
    The research project examines expectations as well as organizational and technological cognitive beliefs influencing a company’s intention to continue using on-demand enterprise systems in the post-acceptance phase. Expectation-confirmation theory from behavior literature is integrated with Delone & McLean’s model of IS success to theorize a model of IS continuance on company level. The decision making process to continue using an information system in small and middle enterprises as main target customer group of cloud-based enterprise systems is modeled by re-introducing the attitude construct from adoption literature. Additionally, post-purchase expectations are included as influence factor of attitude and intention in the continuance context. To prevent cloud-washing, attention is drawn to the substantive differences between service and application quality of on-demand enterprise systems

    Should We Stay or Should We Go? Analyzing Continuance of Cloud Enterprise Systems

    Get PDF
    As cloud computing has become a mature technology that companies across all industries have adopted, cloud service providers have increasingly begun to turn their attention to retaining their customers. However, little research has investigated the antecedents of service continuance in an organizational context. To address this gap in research, we carried out a quantitative empirical study. We developed a conceptual model that builds on previous research on organizational level continuance. We tested this model using survey data gathered from decision makers of companies that have adopted cloud enterprise systems. We analyzed the data using PLS. The results show that socio-organizational and technology-related factors can be used to predict continuance intention of cloud computing use. Besides cloud-specific findings, the study also enhances knowledge in organizational-level system continuance and its connection to IS success
    • …
    corecore