E-Commerce Applications Ranking

The paper presents the cycle of development of e-Commerce applications. The e-commerce applications are analyzed being considered to be a subject for complex evaluations. A set of criteria and factors are presented being considered relevant for e-commerce applications used in complex assessments. A ranking algorithm is proposed based on the AHP (Analytic Hierarchy Process) process, which was implemented and tested with online application IAID. The objective of this paper is to build, implement and test this algorithm with the online application IAID.E-Commerce, Hierarchy, Evaluation Criteria, Analyses, Ranking Algorithm

HUMAN RESOURCES MANAGEMENT STRATEGYADDRESSED IN RESEARCH PROJECTS

Research entities can achieve sustainable competitive advantages, exercised by strategic operational management of their human resources. But conditions are still unclear: how employees of an eligible research entity can benefit from a strategic human resource management (SHRM) so that they make performances in research - development and innovation, knowing that this area is one with its own status. An important role in the success of national and international research projects plays the human resource management strategy, addressed by the project manager or by the entity that coordinates the project, such as: the relational framework, individual approach, functional factors and organizational level which may influence the implementation of that research projects and which are analyzed in this paperStrategic human resources management, project management, researcher, conflict management.

The Impact of Lean Six Sigma on the Overall Results of Companies

Lean Six Sigma represents a management approach for driving innovating processes inside a company in order to achieve superior results. It involves a practical analysis based on facts, aiming the innovation and growth, not only the efficiency of processes. It is a long term process of gradual and continuous improvement. The application of Lean Six Sigma in companies led to attaining superior financial performance by addressing new needs, by differentiating the products and services or by adjusting the business lines to new processes. Quality is more than making things without errors. It is about making a product or service meet the individual perception of a customer about the quality or value. Therefore, in what regards Lean Six Sigma, the concern is not only to "do the things right" but also to "do the right things right". We focus on the impact of implementing the Lean Six Sigma approach on companies, seeking for what changes and benefits it brings. The key elements it aims at are achieving the best quality, the lowest cost, getting the shortest lead-time, stressing on waste elimination. The requirements of a company for its implementation and the strategy to obtain the maximum practical outcome are investigated. Furthermore, we conduct a comparison analysis with the other methods of the total quality management and see why Lean Six Sigma is a more desirable approach.Lean Six Sigma, fact-based analysis, innovation, strategy, quality, gradual and continuous process.

EVALUATING DISTRIBUTED COLLABORATIVE SYSTEMS FROM A KNOWLEDGE MANAGEMENT PERSPECTIVE

This paper presents the evaluation of distributed and collaborative systems from the knowledge point of view, the most important asset of these kinds of systems. The paper analyses the quality characteristics of distributed collaborative systems and proposes a metric to evaluate the aspects of knowledge management process.distributed systems, collaborative systems, knowledge management

A Crowdsourced Frame Disambiguation Corpus with Ambiguity

We present a resource for the task of FrameNet semantic frame disambiguation of over 5,000 word-sentence pairs from the Wikipedia corpus. The annotations were collected using a novel crowdsourcing approach with multiple workers per sentence to capture inter-annotator disagreement. In contrast to the typical approach of attributing the best single frame to each word, we provide a list of frames with disagreement-based scores that express the confidence with which each frame applies to the word. This is based on the idea that inter-annotator disagreement is at least partly caused by ambiguity that is inherent to the text and frames. We have found many examples where the semantics of individual frames overlap sufficiently to make them acceptable alternatives for interpreting a sentence. We have argued that ignoring this ambiguity creates an overly arbitrary target for training and evaluating natural language processing systems - if humans cannot agree, why would we expect the correct answer from a machine to be any different? To process this data we also utilized an expanded lemma-set provided by the Framester system, which merges FN with WordNet to enhance coverage. Our dataset includes annotations of 1,000 sentence-word pairs whose lemmas are not part of FN. Finally we present metrics for evaluating frame disambiguation systems that account for ambiguity.Comment: Accepted to NAACL-HLT201