Relationships Among Dimensions of Information System Success and Benefits of Cloud

Despite the many benefits offered by cloud computing’s design architecture, there are many fundamental performance challenges for IT managers to manage cloud infrastructures to meet business expectations effectively. Grounded in the information systems success model, the purpose of this quantitative correlational study was to evaluate the relationships among the perception of information quality, perception of system quality, perception of service quality, perception of system use, perception of user satisfaction, and net benefits of cloud computing services. The participants (n = 137) were IT cloud services managers in the United States, who completed the DeLone and McLean ISS authors’ validated survey instrument. The multiple regression finding were signification, F(5, 131) = 85.16, p \u3c .001, R2 = 0.76. In the final model, perception of information quality (β = .188, t = 2.844, p \u3c .05), perception of service quality (β = .178, t = 2.102, p \u3c .05), and perception of user satisfaction (β = .379, t = 5.024, p \u3c .001) were statistically significant; perception of system quality and perception of system use were not statistically significant. A recommendation is for IT managers to implement comprehensive customer evaluation of the cloud service(s) to meet customer expectations and afford satisfaction. The implications for positive social change include decision-makers in healthcare, human services, social services, and other critical service organizations better understand the vital predictors of attitude toward system use and user satisfaction of customer-facing cloud-based applications

Service Quality and Perceived Value of Cloud Computing-Based Service Encounters: Evaluation of Instructor Perceived Service Quality in Higher Education in Texas

Cloud computing based technology is becoming increasingly popular as a way to deliver quality education to community colleges, universities and other organizations. At the same time, compared with other industries, colleges have been slow on implementing and sustaining cloud computing services on an institutional level because of budget constraints facing many large community colleges, in addition to other obstacles. Faced with this challenge, key stakeholders are increasingly realizing the need to focus on service quality as a measure to improve their competitive position in today\u27s highly competitive environment. Considering the amount of study done with cloud computing in education, very little has been done in examining the needs and the satisfactions of the instructor customer. The purpose of this study was to examine the expectations and perceptions of instructors’ usage of cloud computing based technology on overall quality of service (QoS). An extension and adaptation of the SERVQUAL model tailored to the higher education environment was introduced for this study. Using the established service quality (SERVQUAL) dimensions (tangibles, reliability, responsiveness, assurance, and empathy), the study investigated the relationship between instructors’ views (perception and expectation) and overall service quality received on their use of cloud computing based technology. A total of 301 online instructors at large Texas community colleges completed a Web-based survey containing previously validated and adapted items. The participants in this study completed four parts of the survey instruments that were used to measure service quality of academic cloud computing technology: Service Quality Expectations, Service Quality Perceptions, Perceived Service Quality and Demographic. The survey questions were answered using a seven-point Likert scale and the survey results were analyzed using descriptive and inferential statistical methods. The results indicated that the difference between instructors’ perception and expectation affected their perceived service quality of cloud computing based systems. The differences between the expectation and perception on all five SERVQUAL dimensions load to the instructors’ perceived service quality; gender but not age, income or education has significant effect on instructors’ overall perceived service quality. The results of the study create an awareness of instructors’ needs and offer useful feedback to college administrators and institutional planners in their efforts to improve service quality of educational technology initiative in higher education

A framework for smart production-logistics systems based on CPS and industrial IoT

Industrial Internet of Things (IIoT) has received increasing attention from both academia and industry. However, several challenges including excessively long waiting time and a serious waste of energy still exist in the IIoT-based integration between production and logistics in job shops. To address these challenges, a framework depicting the mechanism and methodology of smart production-logistics systems is proposed to implement intelligent modeling of key manufacturing resources and investigate self-organizing configuration mechanisms. A data-driven model based on analytical target cascading is developed to implement the self-organizing configuration. A case study based on a Chinese engine manufacturer is presented to validate the feasibility and evaluate the performance of the proposed framework and the developed method. The results show that the manufacturing time and the energy consumption are reduced and the computing time is reasonable. This paper potentially enables manufacturers to deploy IIoT-based applications and improve the efficiency of production-logistics systems