An Analysis of Service Ontologies

Services are increasingly shaping the world’s economic activity. Service provision and consumption have been profiting from advances in ICT, but the decentralization and heterogeneity of the involved service entities still pose engineering challenges. One of these challenges is to achieve semantic interoperability among these autonomous entities. Semantic web technology aims at addressing this challenge on a large scale, and has matured over the last years. This is evident from the various efforts reported in the literature in which service knowledge is represented in terms of ontologies developed either in individual research projects or in standardization bodies. This paper aims at analyzing the most relevant service ontologies available today for their suitability to cope with the service semantic interoperability challenge. We take the vision of the Internet of Services (IoS) as our motivation to identify the requirements for service ontologies. We adopt a formal approach to ontology design and evaluation in our analysis. We start by defining informal competency questions derived from a motivating scenario, and we identify relevant concepts and properties in service ontologies that match the formal ontological representation of these questions. We analyze the service ontologies with our concepts and questions, so that each ontology is positioned and evaluated according to its utility. The gaps we identify as the result of our analysis provide an indication of open challenges and future work

Scor Quality Model Affecting Manufacturing Firm’s Supply Chain Quality Performance And The Moderating Effect Of Qms

The main objective of this study is hypothesis testing to explain the nature of the relationship between the independent variables (The SCOR quality model) and the dependent variable (Supply Chain Quality Performance) and moderated by (QMS). Objektif utama kajian ini adalah untuk menerangkan hubungan antara model SCOR kualiti dengan prestasi kualiti rantaian bekalan sesebuah firma dan QMS memoderasikan huungan model SCOR kualiti dengan prestasi kuality rantaian bekalan

Application of quality function deployment in redesigning website: A case study on TV3

Internet technology has been used by most of the organizations in the world today. One of the primary vehicles of information gathering and dissemination in today’s world is organizational website. This research evaluates the performance of the present TV3 (a popular private television station in Malaysia) website. By means of an on-line survey and a few focus group discussions, it also identifies the website viewer requirements and their corresponding importance level. Subsequently, the technical requirements are identified that can fulfill the viewer requirements. A House of Quality (HOQ) is built to find the relationship between the viewer and technical requirements. The Quality Function Deployment (QFD) exercise provides the prioritized technical requirements, which is expected to guide the TV3 website development and maintenance team in its future website redesigning project. The findings of the research are also expected to provide some insight in other organizations in similar need.Quality Function Deployment; Website development; Erbsite quality evaluation; TV3;Malaysia

Decision support for build-to-order supply chain management through multiobjective optimization

This paper aims to identify the gaps in decision-making support based on multiobjective optimization for build-to-order supply chain management (BTOSCM). To this end, it reviews the literature available on modelling build-to-order supply chains (BTO-SC) with the focus on adopting multiobjective optimization (MOO) techniques as a decision support tool. The literature has been classified based on the nature of the decisions in different part of the supply chain, and the key decision areas across a typical BTO-SC are discussed in detail. Available software packages suitable for supporting decision making in BTO supply chains are also identified and their related solutions are outlined. The gap between the modelling and optimization techniques developed in the literature and the decision support needed in practice are highlighted and future research directions to better exploit the decision support capabilities of MOO are proposed

Social Media and Hotel E-Marketing in Iran: The Case of Parsian International Hotels

With a quantitative study, this research has aimed to investigate the role of social media in Iranian hotels’ electronic marketing. A questionnaire technique was used on a sample of 140 marketers who work in the Parsian International Hotels’ marketing department. For data evaluation an SPSS program was used. Kolmogorov-Smirnov, Cochran, Regression, Non-standardized coefficients and Standard coefficient tests were carried out. Based on the findings, we can state that social media are still not an important marketing tool for Iranian hotels. Facebook and YouTube are the media which are most used for marketing purposes as videos and photos can be used on these sites more than others. The results show that the marketing abilities of Parsian Hotels improve with the increasing use of social media, but the hotel marketing sector has failed to fully utilize internet opportunity as a marketing tool

What influences the speed of prototyping? An empirical investigation of twenty software startups

It is essential for startups to quickly experiment business ideas by building tangible prototypes and collecting user feedback on them. As prototyping is an inevitable part of learning for early stage software startups, how fast startups can learn depends on how fast they can prototype. Despite of the importance, there is a lack of research about prototyping in software startups. In this study, we aimed at understanding what are factors influencing different types of prototyping activities. We conducted a multiple case study on twenty European software startups. The results are two folds, firstly we propose a prototype-centric learning model in early stage software startups. Secondly, we identify factors occur as barriers but also facilitators for prototyping in early stage software startups. The factors are grouped into (1) artifacts, (2) team competence, (3) collaboration, (4) customer and (5) process dimensions. To speed up a startups progress at the early stage, it is important to incorporate the learning objective into a well-defined collaborative approach of prototypingComment: This is the author's version of the work. Copyright owner's version can be accessed at doi.org/10.1007/978-3-319-57633-6_2, XP2017, Cologne, German