Search results

Maintaining infrastructures such as roads, bridges, railways and other civil constructions requires long term documentation that ideally should comprise a reliable reflection of the physical structures. However, the Swedish Transport Administration (TRA) states that its documentation is currently inadequate and that new working method are needed. The purpose of this paper is to study how the agency is working to improve their recordkeeping, by taking a closer look at two new positions that now coordinate the delivery of documentation from the building process teams to the agency. What is their role and what challenges do they face with regard to creating, sharing and preserving records with other areas across the TRA? The study’s purpose is also to discuss the concept of the archive in the current environment and how existing archival theory can be applied to long term documentation.

The study used a case study method, as the aim was to explore and understand recordkeeping practices and theoretical implications, without seeking to generalize the findings outside the Swedish Government. Two positions – the delivering coordinator and the receiving coordinator – were chosen as relevant focuses, due to their function as links between departments in which it was previously indicated that creating and maintaining reliable recordkeeping was difficult and where organizational structure might challenge the traditional archival theory. Documents and reports from the agency were used as research material through documentary analysis and a questionnaire consisting of 10 questions was used to conduct semi-structured interviews with 10 coordinators at the agency.

Obtaining the correct documentation at the right time and of appropriate quality from contractors and entrepreneurs was difficult, despite detailed contractual rules and regulations identifying what should be delivered. The work of the coordinators was formally connected to the important tasks of creating, sharing and preserving records with other areas within the TRA, but in reality, the coordinators faced several difficulties due to expectations of their professional role, practices in information management between different departments and archives creation at the entire agency. The interviewees therefore had differing perceptions of what was meant by TRA’s “archive”: it was variously perceived as only including the registry; comprising only the records preserved by the archives department or encompassing only those records in the registry or in the agency’s business system/s. Findings indicate that the concepts of multiple provenances and the recordkeeping “single mind” might provide insights to better inform the recordkeeping principles needed to improve the current environment.

The study was limited to the 10 interviewees in 2 roles, although there are more positions involved in handling records. Future studies may solidify or contest the different themes identified in the present paper, through interviews of those additional roles at the agency. This paper uses the Swedish concept of the archive as a point of departure in its analysis.

By increasing the knowledge about positions that are responsible for handling records at an agency, this paper can get a better understanding of how they affect the ultimate creation of archives. This will give Swedish public agencies and other organizations, better results when they are creating strategies to preserve reliable records for the future.

The aim of this study is to investigate the roles of psychiatric mental health nurses during their work experiences in inpatient clinical settings.

A focus group of 10 graduate psychiatric nurses with more than two years’ practice in inpatient psychiatric settings reflected on their last six months’ work placements and continuous employment. The transcripts and field notes were analyzed through thematic analysis of inductive data.

Two main themes emerged: management roles and clinical roles. The participants reflected on caring activities and obstacles encountered in fulfilling their professional roles.

Multiple practice issues emerged. The participants perceived that psychiatric nurse specialists are required to perform more caring functions than practicable in the inpatient setting due to an excess of noncaring duties, structural minimization of the caring role and inadequate training. They felt that many of the functions performed were not within their expectations of the caring role of a psychiatric nurse specialist and believed that changes in nurse education and attention to clarification of nurses’ roles might enhance the role they play in patient care.

This paper covers the development of a multidimensional contract administration performance model (CAPM) for construction projects. The proposed CAPM is intended to be used by the industry stakeholders to measure the construction contract administration (CCA) performance and identify the strengths and weaknesses of the CCA system for running or completed projects.

The research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. In the first phase, contract administration indicators were collected from relevant literature. In the second phase, an online questionnaire was prepared, and data were collected and analyzed using the crisp value of fuzzy membership function, and structural equation modeling (SEM). The fuzzy set was chosen for this study due to the presence of uncertainty and fuzziness associated with the importance of several key indicators affecting the CCA performance. Finally, SEM was used to test and analyze interrelationships among constructs of CCA performance.

The data collected from 336 construction professionals worldwide through an online survey was utilized to develop the fuzzy structural equation model. The goodness-of-fit and reliability tests validated the model. The study concluded a significant correlation between CCA performance, CCA operational indicators, and the process groups.

The contribution of this paper to the existing knowledge is the development of a fuzzy structural equation model that serves as a measurement tool for the contract administration performance. This is the first quantitative structural equation model to capture contract administration performance. The model consists of 93 Construction Contract Administration(CCA) performance indicators categorized into 11 project management process groups namely: project governance and start-up; team management; communication and relationship management; quality and acceptance management; performance monitoring and reporting management; document and record management; financial management; changes and control management; claims and dispute resolution management; contract risk management and contract closeout management.

The authors have carried out a research project on artisanal salt activity in the Gulf of Cadiz, providing a new vision of the theories of intangible cultural heritage. The main objective has been to characterise artisanal salt activity in terms of its cultural and sustainable values, a perspective that had not been addressed until now. Moreover, the replacement of this activity by a more industrialised one has contributed to problems in the preservation of this heritage and a transformation of its places.

The research has combined qualitative methodology, based on observation and fieldwork, with a statistical review of the phenomenon under study. Finally, the data has been triangulated to understand the heritage and sustainable value, as well as its historical evolution.

All this contributes to understanding the importance of artisanal salt activity as an element of the intangible cultural heritage of the region, for the conservation of biodiversity and sustainable ways of life in the marshes of the Gulf of Cadiz, and the possibility of preserving it in the face of the problems of globalisation.

To date, there has been no research that combines sustainability and heritage in the field of salt activity. Likewise, until this study was carried out, there had been no research on salt activity from the perspective of intangible cultural heritage.

This paper offers a definition of the core of information science, which encompasses most research in the field. The definition provides a unique identity for information science and positions it in the disciplinary universe.

After motivating the objective, a definition of the core and an explanation of its key aspects are provided. The definition is related to other definitions of information science before controversial discourse aspects are briefly addressed: discipline vs. field, science vs. humanities, library vs. information science and application vs. theory. Interdisciplinarity as an often-assumed foundation of information science is challenged.

Information science is concerned with how information is manifested across space and time. Information is manifested to facilitate and support the representation, access, documentation and preservation of ideas, activities, or practices, and to enable different types of interactions. Research and professional practice encompass the infrastructures – institutions and technology –and phenomena and practices around manifested information across space and time as its core contribution to the scholarly landscape. Information science collaborates with other disciplines to work on complex information problems that need multi- and interdisciplinary approaches to address them.

The paper argues that new information problems may change the core of the field, but throughout its existence, the discipline has remained quite stable in its central focus, yet proved to be highly adaptive to the tremendous changes in the forms, practices, institutions and technologies around and for manifested information.

The paper will present the case study of preventive and planned conservation applied to the Royal Villa and Park of Monza, which is one of the pilot projects within the general framework of Monza and Brianza Cultural District. Starting from an in-depth analysis of the Royal Villa, which represents a recent conservation and valorisation intervention developed by both public and private subjects, the purpose of this paper is to define an operative model for the management of complex properties, at communicating good practices for the maintenance of the built heritage and at identifying the priorities for the interventions.

The research project foresaw a first collection of data and information related to the previous conservation activities executed upon the case study, the design of a conservation plan in all its parts (technical handbook, conservation programme, economic budget, user handbook) through an information system dedicated to the conservation of built cultural heritage, and its fulfilment. In the meantime, a context analysis of the Royal Villa and Park of Monza was developed, with a specific attention to the diversified historical buildings located in the park.

The action research carried out has been evaluated in the framework of upstream perspective theories. This enabled to highlight the importance of an integrated approach; of the need of sharing the collection of data in order to set up evidence-based policies; and of the need to enhance the skills of involved professionals and decision makers.

A progress in protection measures, the understanding of conservation and valorisation as preventive activities, effectiveness of private business models for maintenance, dissemination of good practices, and creation of a network of local stakeholders.

This paper aims to describe an interdisciplinary and innovative research conducted in Switzerland, at the Geneva School of Business Administration HES-SO and supported by the State Archives of Neuchâtel (Office des archives de l'État de Neuchâtel, OAEN). The problem to be addressed is one of the most classical ones: how to extract and discriminate relevant data in a huge amount of diversified and complex data record formats and contents. The goal of this study is to provide a framework and a proof of concept for a software that helps taking defensible decisions on the retention and disposal of records and data proposed to the OAEN. For this purpose, the authors designed two axes: the archival axis, to propose archival metrics for the appraisal of structured and unstructured data, and the data mining axis to propose algorithmic methods as complementary or/and additional metrics for the appraisal process.

Based on two axes, this exploratory study designs and tests the feasibility of archival metrics that are paired to data mining metrics, to advance, as much as possible, the digital appraisal process in a systematic or even automatic way. Under Axis 1, the authors have initiated three steps: first, the design of a conceptual framework to records data appraisal with a detailed three-dimensional approach (trustworthiness, exploitability, representativeness). In addition, the authors defined the main principles and postulates to guide the operationalization of the conceptual dimensions. Second, the operationalization proposed metrics expressed in terms of variables supported by a quantitative method for their measurement and scoring. Third, the authors shared this conceptual framework proposing the dimensions and operationalized variables (metrics) with experienced professionals to validate them. The expert’s feedback finally gave the authors an idea on: the relevance and the feasibility of these metrics. Those two aspects may demonstrate the acceptability of such method in a real-life archival practice. In parallel, Axis 2 proposes functionalities to cover not only macro analysis for data but also the algorithmic methods to enable the computation of digital archival and data mining metrics. Based on that, three use cases were proposed to imagine plausible and illustrative scenarios for the application of such a solution.

The main results demonstrate the feasibility of measuring the value of data and records with a reproducible method. More specifically, for Axis 1, the authors applied the metrics in a flexible and modular way. The authors defined also the main principles needed to enable computational scoring method. The results obtained through the expert’s consultation on the relevance of 42 metrics indicate an acceptance rate above 80%. In addition, the results show that 60% of all metrics can be automated. Regarding Axis 2, 33 functionalities were developed and proposed under six main types: macro analysis, microanalysis, statistics, retrieval, administration and, finally, the decision modeling and machine learning. The relevance of metrics and functionalities is based on the theoretical validity and computational character of their method. These results are largely satisfactory and promising.

This study offers a valuable aid to improve the validity and performance of archival appraisal processes and decision-making. Transferability and applicability of these archival and data mining metrics could be considered for other types of data. An adaptation of this method and its metrics could be tested on research data, medical data or banking data.

Many organisations, including professional councils, operate manually to ensure document flow to clients and stakeholders. This results in the loss of valuable documentation such as certificates and the incurring of costs due to the returning of post to the sender. The purpose of this study was to explore digital transformation of document flow at the South African Council for Social Science Professionals.

The methodological approach involved qualitative data collected through interviews, observation and document analysis in response to research questions. The study was a participatory action research project that involved collaboration between researchers and study participants in defining and solving the problem through needs assessment exercise. All three phases of participatory action research were followed, namely, the “look phase”: getting to know stakeholders so that the problem is defined on their terms and the problem definition is reflective of the community context; the “think phase”: interpretation and analysis of what was learned in the “look phase” and the “act phase”: planning, implementing, and evaluating, based on information collected and interpreted in the first two phases.

The study identified various issues relating to poor data quality, high rate of registered postal returns and non-delivery electronic messages that cannot reach all the intended recipients and accumulation of data for decades. In this regard, the study proposes a framework that can be used by SACSSP to update and verify their details on the portal, as well as digital certificates for membership.

Although the proposed framework is tailor-made for the professional council, it is not depended on prescribed technologies due to usage of open standards that can be used by industry and researchers. Therefore, it can be applied in other context where institutions such as universities communicate with many clients via postal or courier services.

The study used participatory action research involving the researchers and the organisation to solve the problem. The study presented a workflow that the council can use to ensure that the documents reach intended recipients. Furthermore, digital transformation of the process will ensure that the registered professionals are able to access their certificates online and can print them when necessary.

The purpose of this paper is to explore the emergence of sustainability governance through the unfolding hybridisation process between corporate governance and corporate social responsibility and the implications of this for understanding patterns in sustainability reporting over time.

The Gulf of Mexico oil spill incident is an extreme case study undertaken to examine its implications on the organisational legitimacy of British Petroleum (BP) and the latter’s response to the incident and beyond. The paper draws on Suchman’s legitimacy framework (1995) to understand sustainability governance as an organisational practice that evolved post the Gulf of Mexico oil spill to manage BP’s legitimacy. It draws on archival records and documentation from 2008 to 2017, as key sources for data collection, using interrogation by NVivo software.

Sustainability governance is a sound practice that was socially constructed to manage the re-legitimatisation process following the Gulf of Mexico oil spill. It is characterised by broadness (the interplay between the corporate governance and corporate social responsibility disciplines), dynamic (developing the tactics to repair and maintain legitimacy), agility (conforming to the accountability for socially responsible investment and ensuring steps towards geopolitically responsible investment) and interdependence (reflecting composition and interactions).

This paper has practical implications for organisations, in terms of sustainability governance’s constitution, mechanism and characteristics.

This paper has implications not only for organisations, in terms of sustainability governance’s characteristics, but also for policy-makers, regulators and accounting education. However, the present paper’s insights are achieved through an in-depth and longitudinal case study.

This paper has problematized the concept of sustainability governance and elaborated its evolution (the emergence, enactment, deployment and interplay) process. The sustainability governance showed an otherwise organisational response that moves our understanding of the deployment of disclosure for complex organisational change as a way to discredit events.

The purpose of this research is to develop a framework of an ontology-based Asset Information Model (AIM) for a Digital Twin (DT) platform and enhance predictive maintenance practices in building facilities that could enable proactive and data-driven decision-making during the Operation and Maintenance (O&M) process.

A scoping literature review was accomplished to establish the theoretical foundation for the current investigation. A study on developing an ontology-based AIM for predictive maintenance in building facilities was conducted. Semi-structured interviews were conducted with industry professionals to gather qualitative data for ontology-based AIM framework validation and insights.

The research findings indicate that while the development of ontology faced challenges in defining missing entities and relations in the context of predictive maintenance, insights gained from the interviews enabled the establishment of a comprehensive framework for ontology-based AIM adoption in the Facility Management (FM) sector.

The proposed ontology-based AIM has the potential to enable proactive and data-driven decision-making during the process, optimizing predictive maintenance practices and ultimately enhancing energy efficiency and sustainability in the building industry.

The research contributes to a practical guide for ontology development processes and presents a framework of an Ontology-based AIM for a Digital Twin platform.