Extending the DeLone and McLean IS Success Model to Cloud Computing

This research in progress paper proposes a parsimonious IS success model to measure net benefits for cloud computing, based on the 2003 Delone and McLean IS Success Model and subsequent IS success research. Early adopters of new technology, such as cloud computing, are a rich resource of information to identify benefits for later adopters. The primary constructs of our model focus on the overall cloud quality (service and system), experience (organization satisfaction and use), and net benefits and identifies relationships among these constructs. To test this model, a quantitative study will survey organizations using cloud computing to determine the benefits of the cloud computing solution they have adopted. The result of this research will produce findings which will enable organizations to target specific cloud-based computing services that align with their organizational requirements to enable them to achieve success

IS Success Model for Evaluating Cloud Computing for Small Business Benefit: A Quantitative Study

Information system (IS) success has been extensively researched to frame key attributes of an information system or technology to understand its benefit to business. One definition of IS success is the adoption and extensive use of an information system (Robey & Zeller, 1978). In the present era of cloud computing, as in former IS eras, successful implementation is critical for achieving business success in all enterprise types. IS success is also described as a lagging multifaceted measure of technology effectiveness for a business. Early adopters of a new technology are a rich resource to determine benefits for later adopters, and this is true for those businesses looking to implement cloud computing. This is critically important for small businesses. Cloud computing is characterized as a 21st century model of acquiring computational resources and services through convenient on-demand provisioning mechanisms via a shared network (Mell & Grance, 2010, p. 50). With the resource challenges of small businesses, the selection of a particular cloud computing model can result in business success or calamity. Many small businesses realize they need to make key investments in the latest technologies to advance their business, but many have one opportunity to make the best choice and to do it right. Small businesses typically operate with limited capital resources to invest in new IS technologies, as well as fund their ongoing upgrades, enhancements, and support. The intent of this research study is to define an IS framework that small businesses can use to determine the benefits of a particular cloud computing solution before adoption, based on the efforts of select small businesses that are early adopters of cloud computing. This research will determine the essential features and attributes that enable cloud computing success for small businesses in their targeted marketplaces. The primary success constructs of this study will focus on the overall cloud quality, experience, and benefit. The results of this research will lead to an enhanced IS success model that will enable small businesses to target specific cloud-based computing services that align with their business requirements to enable them to achieve business success

A Study of Effectiveness and Satisfaction Level of Cloud CRM Users in Taiwan\u27s Enterprises

Cloud computing in recent years has become a popular IT application. In Taiwan, enterprises currently using CRM (Customer Relationship Management) applications seek to take advantages of cloud computing features to enhance CRM effectiveness. However, despite international IT service providers’ investments in Taiwan’s market for establishing a cloud computing environment for CRM users, no statistics are available to reflect experience with actual use. Therefore, the purposes of this study are to understand the satisfaction levels of the current cloud CRM users (i.e., Taiwan’s enterprises) and to determine the key factors, which significantly affect enterprises’ managerial effectiveness and users’ satisfaction with cloud CRM. The basis for the research model is the Information System Success model and the characteristics of SaaS and CRM. This study has obtained contacts with Taiwan’s enterprises currently using cloud CRM, and the complete analyses of valid survey responses will occur shortly

Exploring Organizational Level Continuance of Cloud-Based Enterprise Systems

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

Longitudinal Study on the Expectations of Cloud Computing Benefits and an Integrative Multilevel Model for Understanding Cloud Computing Performance

Cloud computing, a term introduced ten years ago, has proliferated rapidly both in developed and developing economies. Benefit expectations have impacted the rapid usage increase of this technology. We investigated with a five-year longitudinal survey changes in the expectations regarding cloud computing. We also crafted an integrated multilevel model to understand how cloud expectations and cloud readiness influence cloud computing deployment and performance combined with five IT business value (ITBV) factors. We tested empirically the crafted hypotheses and the research model using survey data collected from approximately 200+200 randomly selected business and IT executives in 2014 and 2015. Empirical results confirmed that our research model explained approximately one half of cloud computing performance for both years

Mobile Technology Update to Delone and Mclean Model of Information Success

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

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

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

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

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

An evaluation of information system success based on students’ perspective: The case of Hadramount University

Evaluation of systems is an important part of systems development to improve systems performance. However, studies showed a lack of research done on information system success evaluation in Yemen universities. It was also observed that many funded information system projects, in Yemen, were completed and implemented without evaluation. The Yemen Higher Education Management Information System (YHEMIS), is a large scale application developed and implemented without evaluation. Hence, this research evaluates the YHEMIS application by investigating into the factors that influence user satisfaction and system use which will further show the benefit of the system. This research endeavors to propose an evaluation DeLone and McLean model with the addition of an external factor management support to identify what factors influence the use of YHEMIS and likewise affect the user satisfaction when using the application. The aim of this study is to also to find out whether the development of YHEMIS is of benefit to the students. This study applies the quantitative approach to distribute questionnaires to users (students) of YHEMIS in Hadramout University. The stratified random sampling method was used, and 261 questionnaires were collected. The research findings showed that information quality, system quality and management support influenced the use and users satisfaction and played a vital role in the success of YHEMIS. The findings showed that students‟ satisfaction have the strongest effect on the perceived net benefits YHEMIS brought for the students. This study provides the first empirical data on the evaluation of information system success conducted on YHEMIS for a Yemen university. Based on the results, stakeholders can get the feedback to improve the systems and provide input to develop other information system projects. The research findings can provide the support to the management of Hadramout University to other online projects. Hence, YHEMIS can be said to be successful and users (students) satisfaction can be considered as the indicator of the success on system usage and net benefit