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Inter-organisational collaboration is becoming increasingly important in complex projects; some project customers even formally require evidence of collaborative competence from potential providers. The purpose of this paper is to explore the governance of collaboration and the ways in which it is enacted in practice for complex projects.

The study is based on a qualitative analysis of 29 semi-structured interviews, primary data from meetings and events supported by secondary data, including standards and industry-specific contract templates.

The paper identifies how collaboration can be effectively governed in complex projects through the emerging role of the collaboration standard and its impact on contractual and relational governance mechanisms. The standard sets higher-level institutional guidelines that affect the way in which collaboration is governed in complex projects. It helps formalise informal relational practices whilst also providing guidelines for building flexibility in contracts by including coordination- and adaptation-oriented provisions conducive to collaboration.

The paper demonstrates the emerging role of the collaboration standard and its influence on contractual and relational mechanisms deployed in complex projects. It shows how the standard can formalise and codify informal collaborative practices and help transfer related learning across projects, thereby contributing towards the dual requirement for standardisation and flexibility in project settings.

The purpose of this paper is to provide an overview of the development of an institution wide approach to learning analytics at the University of Wollongong (UOW) and the inclusion of library data drawn from the Library Cube.

The Student Support and Education Analytics team at UOW is tasked with creating policy, frameworks and infrastructure for the systematic capture, mapping and analysis of data from the across the university. The initial data set includes: log file data from Moodle sites, Library Cube, student administration data, tutorials and student support service usage data. Using the learning analytics data warehouse UOW is developing new models for analysis and visualisation with a focus on the provision of near real-time data to academic staff and students to optimise learning opportunities.

The distinct advantage of the learning analytics model is that the selected data sets are updated weekly, enabling near real-time monitoring and intervention where required. Inclusion of library data with the other often disparate data sets from across the university has enabled development of a comprehensive platform for learning analytics. Future work will include the development of predictive models using the rapidly growing learning analytics data warehouse.

Data warehousing infrastructure, the systematic capture and exporting of relevant library data sets are requisite for the consideration of library data in learning analytics.

What was not anticipated five years ago when the Value Cube was first realised, was the development of learning analytic services at UOW. The Cube afforded University of Wollongong Library considerable advantage: the framework for data harvesting and analysis was established, ready for inclusion within learning analytics data sets and subsequent reporting to faculty.

In this presentation I shall be concerned with only one aspect of information science and its relation with linguistics: namely document analysis (for a broader survey of ‘Linguistics and information science’, see the recent article published under that title by C. Montgomery (1972); also M. Kay and K. Sparck Jones (1971), and the report prepared for F.I.D. by the same authors, forthcoming; M. Coyaud (1972), in French, deals with many separate facets of the same subject).

The purpose of this study is to develop a spatio-temporal neighbourhood-level house price index (STNL-HPI) incorporating a geographic information system (GIS) functionality that can be used to improve the house price indexation system.

By using the Malaysian house price index (MHPI) and application of geographically weighted regression (GWR), GIS-based analysis of STNL-HPI through an application called LHPI Viewer v.1.0.0, the stand-alone GIS-statistical application for STNL-HPI was successfully developed in this study.

The overall results have shown that the modelling and GIS application were able to help users understand the visual variation of house prices across a particular neighbourhood.

This research was only able to acquire data from the federal government over the period 1999 to 2006 because of budget limitations. Data purchase was extremely costly. Because of financial constraints, data with lower levels of accuracy have been obtained from other sources. As a consequence, a major portion of data was mismatched because of the absence of a common parcel identifier, which also affected the comparison of this system to other comparable systems.

Neighbourhood-level HPI is needed for a better understanding of the local housing market.

Through a questionnaire survey, the purpose of this paper is to understand and analyse the cognitions of medical service price of medical workers in various regions of China, and discuss the policy suggestions on the price dynamic adjustment of medical service.

The authors conducted a questionnaire survey on the cognition of medical service price medical workers in various regions of China, and then the grey relational analysis theory is used to analyse the data obtained from the questionnaire survey.

The investigation and analysis shows some cognitions of hospital workers on the price of medical services in various regions in China, the authors analyse the results of grey relational analysis and come up with suggestions for relevant departments.

Although a plenty of research on the current situation of medical service price cognition of China is discussed in the paper, it is not complete; thus, a large amount of information needs to be consulted further. The data obtained from the questionnaire are less used and the utilisation rate is lower, which may result in one-sided results and need further investigation.

Through the investigation and analysis, the authors can determine about the implementation of medical service prices in various parts of China from the perspective of hospital workers to a certain degree, and try to explore the relevant policy recommendations for the dynamic adjustment of medical service prices.

The price of medical services refers to the fees for registration, diagnosis, inspection, surgery, nursing and medicine. In a narrow sense, the price of medical services refers to the standard of charge for medical services except drugs. This paper mainly refers to the narrow sense. As one of the important means and methods for the government to control the medical service market, medical service price is also an important basis for the economic source of medical institutions. The adjustment of medical service price is related to the interests of all aspects of society.

Medical service price is an important basis for the economic source of medical institutions, the adjustment of medical service price is related to the interests of all aspects of society and it is a hot issue of social concern. Through the investigation and analysis, the authors use grey relational analysis to know about the medical service prices in various parts of China from the perspective of hospital workers to a certain degree, and try to explore the relevant policy recommendations for the dynamic adjustment of medical service prices.

To outline the current trajectories in digital social research and to highlight the roles of qualitative research in those trajectories.

A secondary analysis of the primary literature.

Qualitative research has shifted over time in relation to rapidly changing digital phenomena, but arguably finds itself in ‘crisis’ when faced with algorithms and ubiquitous digital data. However, there are many highly significant qualitative approaches that are being pursued and have the potential to contextualize, situate and critique narratives and practices of data.

To situate current debates around methods within longer trajectories of digital social research, recognizing their conceptual, disciplinary and empirical commitments.

IT platforms such as integrated workplace management system (IWMS) gain higher importance in real estate management, but there is a lack of knowledge on what IWMS is and what the drivers are for its implementation in real estate organisations. The paper aims to provide knowledge on this.

The research combines theories of real estate management, IT implementations and change management, with a qualitative case study of IWMS implementation in a public real estate organisation in Denmark. The research data consist of customer surveys, document studies, semi-structured interviews and in-depth analysis of IWMS features.

The paper identifies several drivers for IWMS implementation, such as data standardisation, validation and easier data exchange, business process optimisation, decrease in IT costs and improved customer service. Furthermore, the case study reveals that the IWMS implementation is not considered as a definite IT project but as an organisational change project impacting the entire organisation.

There has so far not been any public real estate organisations in Denmark using IWMS, and the knowledge about IWMS in public real estate sector is therefore limited. To date, no one has analysed what the drivers are for IWMS implementation in real estate organisations. This research paper brings new knowledge on IWMS and presents drivers for IWMS implementation, observed from an implementation process in a public real estate organisation.

The purpose of this study is to suggest suitable movies for children among the various multimedia selections available these days. Multimedia have a significant impact on the social and psychological development of children who are often explored to inappropriate materials, including movies that are either accessible online or through other multimedia channels. Even though not all movies are bad, there are negative effects of offensive languages, violence and sexuality as exhibited in movies. Parents and guidance of children need all the help they can get to promote the healthy use of movies these days.

To offer parents appropriate movies of interest to their youths, the authors have developed MovRec, a personalized movie recommender for children, which is designed to provide educational and suitable entertaining opportunities for children. MovRec determines the appealingness of a movie for a particular user based on its children-appropriate score computed by using the backpropagation model, pre-defined category using latent Dirichlet allocation, its predicted rating using matrix factorization and sentiments based on its users’ reviews, which along with its like/dislike count and genres, yield the features considered by MovRec. MovRec combines these features by using the CombMNZ model to rank and recommend movies.

The performance evaluation of MovRec clearly demonstrates its effectiveness and its recommended movies are highly regarded by its users.

Unlike Amazon and other online movie recommendation systems, such as Common Sense Media, Internet Movie Database and TasteKid, MovRec is unique, as to the best of the authors’ knowledge, MovRec is the first personalized children movie recommender.

Community currency (CC) is used as a tool for reviving local communities by promoting economic growth and facilitating the formation of social capital. Although the Japanese CC movement has stagnated since mid-2005, a new experiment, Fukkou Ouen Chiiki Tsuka (CC for supporting disaster recovery), was introduced across disaster-damaged areas after the Great East Japan Earthquake and tsunami of March 2011. Previous studies assessing the role of CC in these earthquake-damaged areas are rare; the purpose of this paper is to examine the micro processes of community rebuilding that underlie the transactional networks mediated by one of the experiments, Domo, in Kamaishi.

Using transactional records capturing residents’ CC activities during the five-month pilot period before actual implementation of Domo simultaneous investigation for empirical network analysis techniques identify the network configuration dynamics representing the multiple observed forms of social capital in this disaster-affected local community.

This study of the five-month pilot for the Domo system revealed: intensive dependence on the coordinating role of core members (i.e. the creation of weak ties), a lack of balanced support among members and the resulting uni-directional transactions (i.e. the avoidance of generalized exchanges), and the reinforcement of previous transactional ties via reciprocation or transitive triads (i.e. the formation of strong ties).

This study provides guidance for practitioners, researchers, and policy makers on how community residents’ engagement in CC activities could function as a potential tool for generating positive socio-economic effects for local communities in disaster areas.

The purpose of this paper is to examine knowledge transfer (KT) practices in five construction projects delivering sustainable office buildings in Germany and the UK by using social network analysis (SNA).

Case studies were adopted as research strategy, with one construction project representing one case study. A combination of quantitative data, social network data and some qualitative data on perceptions of the sustainable construction process and its KT were collected through questionnaires. The data were analysed using a combination of descriptive statistics, cross-tabulations, content analysis and SNA. This resulted in a KT map of each sustainable construction project.

The findings resulted in a better understanding of how knowledge on sustainable construction is transferred and adopted. They show that large amounts of tacit knowledge were transferred through strong ties in sparse networks.

The findings could offer a solution to secure a certain standard of sustainable building quality through improved KT. The findings indicate a need for further research and discussion on network density, tie strength and tacit KT.

This paper contributes to the literature on KT from a social network perspective. It provides a novel approach through combining concepts of network structure and relatedness in tie contents regarding specialised knowledge, i.e. sustainable construction knowledge. Thereby it provides a robust approach to mapping knowledge flows in office building projects that aim to achieve high levels of sustainability standards.