Cloud computing provides a way to coordinate and share relevant information and data on real-time basis over an organization. The adoption of cloud services is one of the most emerging technological advances in the practice of current competitive business environment. The research done in this article is based on the analysis of the data obtained from the semiconductor sector. Cloud adoption would most likely be the best answer for them. However, because of various types of complexities, semiconductor industries may have to confront with a few trust issues while receiving cloud services. This article aims to identify the trust factors in the adoption of cloud services in semiconductor industries. Further, the moderating effect of these trust elements related to the technological, organizational, and environmental success factors has been discussed here. On the basis of literature survey, a hypothetical model has been developed, and the relationships among the latent variables have been studied by using structural equations. The study reveals that while trust factors moderate the technology and environment-related success factors, there is not much moderating effect of the trust issues on the organization-related success factors in the adoption of cloud services in semiconductor industries.

Summary Cloud computing provides a way to integrate and share information on a real‐time basis across an organization. The current organizations are adopting the cloud services to gain competitive advantage in real‐time data sharing. To meet the current demand in semiconductor industries, they must develop better techniques to produce electronic products at low cost and in a large scale. Adoption of cloud‐based services may resolve the fastest growing demand of technical advancement of semiconductor industries. The research presented in this paper is based on an analysis of the data obtained from the semiconductor sector. This study identifies the critical challenges associated with the cloud service adoption in semiconductor industries. Twelve critical challenges have been identified that need to be overcome for adopting the cloud services for any semiconductor industry. These are network/Internet availability, data security, integration of various services, monitoring of data and services, maintenance of computing performance, liability, power outage, service interruption, organizational change, business complexity, legal issues, and lack of awareness.

With extensive usage and dependence on communication networks, 'privacy' issues in enterprise distributed systems have become fundamentally important. Privacy concerns have flooded the market especially in the public domain, and with the changing environment of software usage and involvement of malicious substances associated with any network, it becomes essential to safeguard and ascertain privacy among users and incorporate the same safeguard to protect privacy in software as well. The methodologies and tools architecting distributed enterprise resource planning (ERP) systems are primarily new and are vulnerable to malicious attacks. This paper aims at identifying some of critical privacy issues by collecting data from ERP practitioners. This work models variables associated with ERP with the variables of privacy to establish a robust adoption of ERP practices. Privacy issues concerning ERP are listed. Several variables associated with the development, implementation, and control of ERP are identified in the existing literature. A questionnaire instrument was distributed among a set of ERP practitioners. The response data collected thereby were analyzed statistically. Based upon the statistical analysis, an attempt has been made in the paper to make a ranking of the privacy factors. The observations are discussed in detail, and some specific conclusions have been made.

No abstract

Personalized Medicine (PM) is an emerging concept in the modern healthcare system and can play a vital role in modern healthcare management. If this concept can be adopted and implemented in a proper manner, the entire healthcare system will attain an elevated dimension. However, there exist many difficulties in adopting personalized healthcare system. An attempt has been made in this paper to present the data obtained through survey that has been conducted amongst a group of medical practitioners and a group of patients. The data collected have then been analysed by resorting to statistical techniques. The study shows that despite many personalized medicines have been discovered for use, it is difficult to adopt the personalized medicare system due to lack of adequate infrastructures, healthcare record system, communication among the medical doctors and genomic researchers, awareness and encouragement of common people, proper training of medical doctors, and confidentiality of the patients.