scholarly journals Development of a Decision Support System Framework for Cultural Heritage Management

2021 ◽  
Vol 13 (13) ◽  
pp. 7070
Author(s):  
Eleonora Di Di Matteo ◽  
Paolo Roma ◽  
Santo Zafonte ◽  
Umberto Panniello ◽  
Lorenzo Abbate

Decision support systems (DSSs) have been traditionally identified as useful information technology tools in a variety of fields, including the context of cultural heritage. However, to the best of our knowledge, no prior study has developed a DSS framework that incorporates all the main decision areas simultaneously in the context of cultural heritage. We fill this gap by focusing on design-science research and specifically by developing a DSS framework whose features support all the main decision areas for the sustainable management of cultural assets in a comprehensive manner. The main decision-making areas considered in our study encompass demand management, segmentation and communication, pricing, space management, and services management. For these areas, we select appropriate decision-making supporting techniques and data management solutions. The development of our framework, in the form of a web-based system, results in an architectural solution that is able to satisfy critical requirements such as ease of use and response time. We present an application of the innovative DSS framework to a museum and discuss the main managerial implications and future improvements.

Author(s):  
Muhammad Hadi Mustafa ◽  
Maisarah Ali ◽  
Kamsiah Mohd Ismail ◽  
Khairusy Syakirin Has Yun Hashim ◽  
Mohamad Saifulnizam Mohd Suhaimi

Historical buildings are always at risk to great danger strike by fire, flood and other potential disasters affecting the building conditions. Thus positive and continuous actions need to be taken to preserve the heritage buildings or else a country might lose its cultural heritage value. In managing historic buildings, managers are often faced with complex decision-making process due to limited or unavailability of reliable information. The absence of such information influenced the way decision making and problem-solving made by the managers. This paper aims to highlight the potentials of Building Information Modelling (BIM) as a decision support system for cultural heritage management. An embedded case study was conducted on Istana Balai Besar Kota Bharu, focusing on the changes of the historical building's layout to demonstrate the ontology. A measured drawing dated back in 1976 was used together with the terrestrial laser scanning activity performed presently on the physical building in creating a model in BIM environment.  The result gives an overview about tracking information on changes within a historical building as part of cultural heritage management. This paper finds that by modelling the data captured by the 3D laser scanner and utilizing the existing data, BIM is capable of helping managers to retrieve, analyze and store important information in a more efficient and productive process. This exploration is substantial as a precursor to a much broader study on BIM for cultural heritage in the Malaysian context. As BIM is set to drive the construction industry, the finding made would be a catalyst for creating awareness to support the development of BIM for cultural heritage management in Malaysia.


10.6036/9917 ◽  
2021 ◽  
Vol 96 (5) ◽  
pp. 455-459
Author(s):  
MAHDI NADERI ◽  
ANTONIO FERNÁNDEZ ULLOA ◽  
JOSÉ ENRIQUE ARES GÓMEZ ◽  
GUSTAVO PELÁEZ LOURIDO

Despite the growing importance that is being given to the concepts of sustainability in many areas, not only in industry but also in the economy and public opinion in general, until now, most research has focused, practically, on the analysis of the concepts, but has not addressed, in a comprehensive way, its impact in decision making probably due to the complex relations of interdependence between its different aspects. In this context, MAPSAM (Methodology for the Assessment of Sustainability in Manufacturing Processes and Systems) was created to help the decision-making process, allowing a conscious and transparent assessment by administrators and managers at the different levels of the structure of companies and organisations. This article explains its development and application in a "job shop" type manufacturing system with an approach that allows the integration of economic, environmental and social criteria. MAPSAM is based on the use of various techniques and tools to quantify the importance of each aspect of sustainability and it has been applied in other production environments, being implemented in different systems, analysing their ease of use and evaluating their behaviour. The objective is to show how it helps to make operational, tactical and strategic decisions in the management on these type of manufacturing companies and, specifically, in this contribution we want to highlight its versatility and applicability, by validating it in a certain type of layout. With this new application, MAPSAM increases its possibilities as an innovative instrument that allows companies to make conscious and sustainable decisions in order to be more efficient, fair, supportive and respectful of the environment. Keywords: Manufacturing System, Simulation, Decision Support, Sustainable Production, Decision-Making


Author(s):  
Miguel Fabrício Zamberlan ◽  
Carolina Yukari Veludo Watanabe

The use of technology to assist in the performance of daily activities and to carry out communication between individuals has become a necessary task in the face of technological advances. In the context of public institutions, the insertion of technology is also based on the possibilities of making the activities of this sector more efficient and better quality, in addition to allowing greater transparency and accessibility of information for society. For public managers, the information and communication technology tools allow for a more accurate assessment of the variables and possibilities involved in a decision-making process and, thus, to make better decisions in a sector whose main customer is society (users). Therefore, this paper aimed to analyze the use and acceptance of a decision support tool in a public educational institution called the Indicators Panel. For this, the Unified Theory of Acceptance and Use of Technology (UTAUT) was used, and the results were measured using the paraconsistent logic. The results indicate that it is possible to consider the use and acceptance of the decision support system in the public educational institution by reducing the propositions of the UTAUT Model in three factors: Usability, Performance, and Relationship. Regarding the UTAUT Model, it was found that the moderating variables of gender, age, and experience do not significantly influence the adoption of the decision support system. It is important to note that managers point the tool as very important for the development of their activities and emphasize that ease of use is one of the main points for the adoption of technology.


Author(s):  
Hanaw M. Taqi M. Amin ◽  
Emmanuel Akwasi Adu-Ampong

Purpose The purpose of this paper is to examine the challenges to urban cultural heritage management conservation in the historical city of Sulaimaniyah, Kurdistan-Iraq. The paper focusses on the roles and interactions of stakeholders and the issues that confront the decision-making processes that underpin the management of historic city towns. Design/methodology/approach A case study methodology is utilised for this research. It involves documentary analysis and interviews with stakeholders who are part of the management of the historic city centre of Sulaimaniyah, Kurdistan-Iraq. The findings from this case study are analysed in a systematic way before being discussed in the context of the literature on urban cultural heritage management. Findings The research shows that although there is a shared vision of the need to preserve and conserve urban cultural heritage, the management process is a contentious one. Stakeholders have different ideas as to how to achieve conservation goals which leads to increasing conflicts among stakeholders. This situation is compounded by the limited financial resources available to local government agencies, political interference in the work of implementation agencies and the lack of capacity in local government to enforce rules and carry out conservation projects. There are also significant power differentials among stakeholders in the decision-making process which often means that local residents are excluded from the process of conserving their built urban heritage. Practical implications This research can help practitioners who are in charge of urban cultural heritage management in dealing with stakeholder conflicts. The paper offers insight into a number of sources of stakeholder conflicts and on ways to overcome these in the planning process. Originality/value The originality of research lies in the novelty of the case study area. This research highlights the issues of built heritage conservation management and planning practices in an area – Sulaimaniyah, Kurdistan-Iraq – that is geographically less represented in the extant literature. The research also identifies some of the key sources of conflict in urban heritage conservation projects and provides an insight into the roles of stakeholders in the management of smaller locally-dependent historic city centres.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Serhat Simsek ◽  
Abdullah Albizri ◽  
Marina Johnson ◽  
Tyler Custis ◽  
Stephan Weikert

PurposePredictive analytics and artificial intelligence are perceived as significant drivers to improve organizational performance and managerial decision-making. Hiring employees and contract renewals are instances of managerial decision-making problems that can incur high financial costs and long-term impacts on organizational performance. The primary goal of this study is to identify the Major League Baseball (MLB) free agents who are likely to receive a contract.Design/methodology/approachThis study used the design science research paradigm and the cognitive analytics management (CAM) theory to develop the research framework. A dataset on MLB's free agents between 2013 and 2017 was collected. A decision support tool was built using artificial neural networks.FindingsThere are clear links between a player's statistical performance and the decision of the player to sign a new offered contract. “Age,” “Wins above Replacement” and “the team on which a player last played” are the most significant factors in determining if a player signs a new contract.Originality/valueThis paper applied analytical modeling to personnel decision-making using the design science paradigm and guided by CAM as the kernel theory. The study employed machine learning techniques, producing a model that predicts the probability of free agents signing a new contract. Also, a web-based tool was developed to help decision-makers in baseball front offices so they can determine which available free agents to offer contracts.


2021 ◽  
Vol 13 (23) ◽  
pp. 13033
Author(s):  
Ulrich Schmitt

This article expands on design science-research (DSR) publications which—based on current knowledge management systems (KM/KMS) and practices—are conceptualizing and prototyping a novel more generative and knowledge-worker-centric approach just presented as a desirable sustainable KMS vision. The perspective taken follows up on recent systematic literature reviews and content analysis studies reporting on the poor knowledge accumulation and evolution in the design, information science, and KM disciplines. Proposed remedies and initiatives are pitched against the novel KMS development case with its longitudinal stream of research output. As the design and creation of complex innovative artefacts facing ‘wicked’ challenges are seldom complemented by concurrent research papers, rare insights are offered of how similar longitudinal DSR or KMS projects may be structured and of how the related domain’s heritage knowledge base and its fitness-for-use-and-evolution may be strengthened. Due to the cycles and progression of its prior publications, this case study is particularly suited to contribute to cumulative research synthesis and, hence, further focusses on the recently proposed notions of projecting and projectability for evaluating distances between actual real-world environments and future possible-world application-ecosystems—a perspective which may become essential acceptance criteria for publishing in DSR-related conferences and journal publishing outlets.


2021 ◽  
Vol 13 (16) ◽  
pp. 9321
Author(s):  
Olgica Grcheva ◽  
Beser Oktay Vehbi

According to the ongoing discussions of researchers, practitioners, and international legislation, the prioritization of top-down decision-making processes in public participation is questionable due to their ambiguous outcomes in various contexts associated with the management of cultural heritage. The main aim of this paper is to highlight and identify co-creation as a sustainable and significant bottom-up methodology that has a wide range of applications, especially in the domain of Cultural Heritage Management (CHM). It is presented as an alternative to the already existing, less democratic, and passive public participation decision-making processes. Examining the evolution of the terms and the processes, together with the common aspects and differences between public participation and co-creation is another goal of this paper. Based on these aims and goals, after conducting case study analyses in various contexts and comprehensive theoretical reviews of the international charters and ongoing practices associated with both key terms, “public participation” and “co-creation”, this paper introduces results that have the potential to solve the existing problems in public participation models and frameworks and successfully integrate communities into the CHM decision-making process through the implementation of the co-creation methodology.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andrea Herrera ◽  
Paola Lara ◽  
Mario Sánchez ◽  
Jorge Villalobos

PurposeThis paper proposes a conceptualization of the e-waste domain, formalized through a metamodel, to express complex e-waste realities in a simple manner. This also enables the transition from a structural model to a behavioral model to implement analysis techniques.Design/methodology/approachThe methodology used is design science research (DSR), a problem-solving paradigm which seeks to construct a working artifact and prove its relevance. The artifact, a metamodel for the e-waste domain, was constructed through an iterative manner and later analyzed to conclude its theoretical relevance and contributions in this domain. As part of the approach, the authors used supplementary techniques such as systematic literature review (SLR), conceptual modeling (CM) and system dynamics (SD).FindingsThe application in the e-waste domain of CM techniques such as metamodeling, model-to-model transformation and simulation is valuable for supporting decision-making, especially when combined with SD. The approach presented in this paper, the conceptual tools and different simulation techniques could also be applied in other complex domains to obtain similar results.Practical implicationsThe modeling method to apply simulation techniques is targeted toward the e-waste domain experts to understand, design, implement, measure and improve strategies and public policies.Originality/valueThe use of CM techniques to model and analyze structural and behavioral e-waste scenarios.


2020 ◽  
Vol 10 (24) ◽  
pp. 9082
Author(s):  
João Boné ◽  
João C. Ferreira ◽  
Ricardo Ribeiro ◽  
Gonçalo Cadete

This paper presents DisBot, the first Portuguese speaking chatbot that uses social media retrieved knowledge to support citizens and first-responders in disaster scenarios, in order to improve community resilience and decision-making. It was developed and tested using Design Science Research Methodology (DSRM), being progressively matured with field specialists through several design and development iterations. DisBot uses a state-of-the-art Dual Intent Entity Transformer (DIET) architecture to classify user intents, and makes use of several dialogue policies for managing user conversations, as well as storing relevant information to be used in further dialogue turns. To generate responses, it uses real-world safety knowledge, and infers a dynamic knowledge graph that is dynamically updated in real-time by a disaster-related knowledge extraction tool, presented in previous works. Through its development iterations, DisBot has been validated by field specialists, who have considered it to be a valuable asset in disaster management.


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