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As the number of organizations that have implemented enterprise resourceplanning (ERP) systems unsuccessfully increase, it is necessary to establish the impediments in ERP implementations and the extent to which these impact the success of ERP projects. This study aims to identify the critical impediments that large organizations face in the implementation of ERP systems, and the impact of these impediments on overall success of ERP projects by a survey of Fortune 500 organizations.

A survey was prepared based on 47 impediments identified from previous ERP implementation studies.

This study finds that most of critical impediments are from functional coordination problems related to inadequate support from functional units and coordination among functional units, the project management related to business process change, and change management related to resistance of users. In this study, impediments are categorized based on project phases, and differences in the impediments the organizations faced between less successful and more successful organizations are found.

This research provides significant implications for industry managers engaged in large‐scale enterprise system implementations. Our survey results suggest that understanding new requirements for ERP implementation such as functional coordination is more critical issues than understanding technical features of ERP system.

The purpose of this paper is to identify and understand factors that influence users’ acceptance of Software-as-a-Service (SaaS) collaboration tools in organizational settings.

This paper develops a research model based on the Expectation Confirmation Model (ECM). Using data collected from a field study of Google Docs, the research model and related hypotheses are tested by structural equation modeling.

Users’ confirmation with expectations positively affect their perceived usefulness and satisfaction level; Users’ perceived usefulness and satisfaction positively affect their intention to continue using such collaboration tools. Users’ prior experience with such tools and their IT skills have a moderating effect on the relationships among confirmation, perceived usefulness, satisfaction, and continuance intention.

This study identifies the theoretical foundations of user acceptance of SaaS collaboration tools in the context of mandatory adoption. This empirical study, based on an established theoretical foundation, will help the research community to gain a deeper understanding of user acceptance of cloud computing technologies, in particular, SaaS collaboration tools.

The findings of this study can provide vendors and implementing organizations with useful strategies and tactics to enhance users’ acceptance of SaaS collaboration tools.

With the increasing popularity of cloud computing technologies, there have been ongoing concerns about the effectiveness of SaaS collaboration tools in organizational settings. This study is one of the first empirical research to examine the factors influencing users’ acceptance of SaaS collaboration tools.

This study aims to understand the impact of users' privacy concerns on their acceptance of social networking web sites (SNWs).

This paper develops two research models, with privacy concern conceptualized either as an antecedent of acceptance intention, or as a moderator of the relationships in the technology acceptance model (TAM). Using a survey questionnaire, empirical data were collected from 428 undergraduate college students. Structured equation modeling was used to test the validity of the proposed research models.

The privacy concerns of the research respondents were found to be statistically significant. However, they did not directly affect users' acceptance of social networking web sites. Instead, privacy concerns did moderate the effects of perceived usefulness, and perceived ease of use, on users' intention to continue to use SNWs.

The study identifies the theoretical foundations of privacy and privacy concerns in the context of SNWs. This empirical study, based on an established theoretical foundation, will help the research community to gain a deeper understanding of the impacts of privacy concern in the context of social networking.

The findings of this study can provide SNW operators with useful strategies and tactics to enhance users' acceptance depending on their level of privacy concern.

With the worldwide rapid growth of SNWs, there have been ongoing concerns about how users' private information is viewed or used by others. This study provides much needed empirical evidence about the impact of privacy concerns on users' acceptance of SNWs.

The purpose of this paper is to propose a combined technique of cumulative voting and numerical assignment to prioritize the services of the learning cloud service.

The approach starts with requirement elicitation, then analyses of the requirements in terms of prioritization and finally classifies the priority of services into groups.

As a result of the case study the requirements of the College of Art Media and Technology students has been classified into three service groups.

This combined prioritized techniques can involve learners in the decision making process about learning cloud services utilization in the organizations.