"The advent of cloud computing and big data has radically altered the important role of innovation as a strategy for responding to the rapidly changing nature of an increasingly interconnected online world. This situation has necessitated revisions in the strategic concepts associated with sustaining long term performance by exploiting new technologies. Understanding of these new strategic approaches is provided by examining how the online world is being exploited by organisations in sectors of a modern economy such retailing, service firms, healthcare and the public sector in terms of creating new forms of competitive advantage within both pure play and terrestrial environments as a consequence of the advent of mobile technology and online social networks"--
2700 2718 13 3 ; Senia ; Cultural Heritage preventive conservation requires the monitoring of the parameters involved in the process of deterioration of artworks. Thus, both long-term monitoring of the environmental parameters as well as further analysis of the recorded data are necessary. The long-term monitoring at frequencies higher than 1 data point/day generates large volumes of data that are difficult to store, manage and analyze. This paper presents software which uses a free open source database engine that allows managing and interacting with huge amounts of data from environmental monitoring of cultural heritage sites. It is of simple operation and offers multiple capabilities, such as detection of anomalous data, inquiries, graph plotting and mean trajectories. It is also possible to export the data to a spreadsheet for analyses with more advanced statistical methods (principal component analysis, ANOVA, linear regression, etc.). This paper also deals with a practical application developed for the Renaissance frescoes of the Cathedral of Valencia. The results suggest infiltration of rainwater in the vault and weekly relative humidity changes related with the religious service schedules. This work was partially supported by the Spanish Government (Ministerio de Ciencia e Innovacion) under projects HAR2010-21944-C02-01 and HAR2010-21944-C02-02. Fernández Navajas, Á.; Merello Giménez, P.; Beltrán Medina, P.; García Diego, FJ. (2013). Software for Storage and Management of Microclimatic Data for Preventive Conservation of Cultural Heritage. Sensors. 13(3):2700-2718. doi:10.3390/s130302700
Findings from the 2008-2009 Transport Canada project, Methodologies for Identifying and Ranking Sustainable Transport Practices in Urban Regions (Wellar, 2008d) reveal that the research methodologies, methods, and techniques from a number of disciplines apply to the process of making decisions about sustainable transport practices. Evidence in that regard is provided by: 1) the results of keyword-based literature searches; 2) the responses of municipal governments to a survey on the methodologies, methods, and techniques that are used; and 3), the commentaries of experts on the methods and techniques that could be used. The findings are presented in eleven project reports which can be accessed at: http://www.wellarconsulting.com/. This presentation first outlines the major elements and findings of the Transport Canada project. We then suggest how the Operations Research or Operational Research, and Management Sciences (OR/MS) fields could build on that project to enhance the OR/MS contribution to the body of methods and techniques used by municipal governments in making decisions about identifying, adopting, and implementing sustainable transport (ST) practices. The third part of the presentation introduces several OR/MS-based initiatives that we believe could significantly expand the research agenda that has been initiated by the Transport Canada project. Our emphasis in this regard is on drawing attention to what we perceive to be fundamental needs that arise as a result of the empirical lessons learned from the Transport Canada project.
Analyses of regional economic disparities in China mostly refer to the level of the province. The report provides a survey of the prospects and limitations of using prefecture-level data in order to understand the spatial dynamics of growth. A new database has been built that is based on the original data available in the provincial yearbooks. The data are in the GIS framework. A large set of maps is accessible via www.on-China.de. Preliminary observations on possible new insights include, amongst others, a more complex picture of rural development.
The article proposes a taxonomy consisting of nine levels of analysis and two forms of influence which operate within and between levels. Together with a multilevel research strategy, the taxonomy and the types of influence form a framework for the analysis of complex media decision systems. Data from a national sample of reporters are used to illustrate the multilevel research strategy. The results indicate that experience and the industry in which the reporter works explain more variance in autonomy than organization size.
The qualitative research "gold standard" for quality research is data saturation. The limited literature on reporting data saturation and transparency in qualitative research has supported an inconsistent research standard suggesting researchers have not adequately reported data saturation to promote transparency (O'Reilly & Parker, 2012). Confusion regarding how to analyze qualitative data to achieve data saturation, how to write clear qualitative research findings, and present these findings in a usable manner continues (Sandelowski & Leeman, 2012). A phenomenological asynchronous online focus group using WordPress® was employed to answer the research question. Based on the current literature on the topic of focus group data saturation, the study findings were analyzed by group, individual, and day of the study. Additionally, the data was presented in a chart format providing a visible approach to data analysis and saturation. Employing three different methods of data analysis to confirm saturation and transparency provides qualitative researchers with different approaches to data analysis for saturation and enhancement of trustworthiness. Placing data in a visual configuration provides an alternative method of presenting research findings. The data analysis methods presented are not meant to replace existing methods of achieving data saturation but to provide an alternate approach to achieving data saturation and reporting the findings in a clear, usable format.
Purpose The purpose of this paper is to present a case study of a university that uses a collective intelligence approach for managing its intellectual capital (IC). Specifically, the authors investigate how one of Europe's oldest business schools, Ca' Foscari University of Venice (Italy), manages IC through stakeholder engagement to achieve academia's third mission so contributing to social and economic development.
Design/methodology/approach Data are collected through semi-structured interviews and Ca' Foscari University's strategic plan. Secundo et al.'s (2016) collective intelligence framework is used to analyse the data. Alvesson and Deetz's (2000, pp. 19-20) critical management tasks – insight, critique and transformative redefinition – are adopted to frame and discuss the results.
Findings On the assumption that a university is a collective intelligence system, the findings demonstrate that IC management needs to change to incorporate an ecosystem perspective, reflecting the fourth stage of IC research. The IC management at the university incorporates its core goal (what), the collective involvement of internal and external stakeholders to achieve the goal (who), the motivations behind the achievement of the goal (why) and, finally, the processes activated inside the university (how) and indicators to assess value creation.
Research limitations/implications A new perspective for managing IC in universities that adopts a collective intelligence approach is further developed. Contributions to the fourth stage of IC research – IC in an ecosystem – are highlighted that expand the concept of IC value creation beyond universities into wider society.
Practical implications Two key consequences of this case study are that more stakeholders have become involved in IC management and that IC management requires critical rethinking, given the universities' evolving role.
Originality/value This paper brings together issues that are usually dealt with in separate domains of the literature: IC management and collective intelligence in the university setting.
This paper identifies factors that promote research productivity of production and operations management (POM) groups of researchers in US business schools. In this study, research productivity of a POM group is defined as the number of articles published per POM professor in a specific period of time. The paper also examines factors that affect research quality, as measured by the number of articles published per POM professor in journals, which have been recognized in the POM literature as an elite set. The results show that three factors increase both the research productivity and the quality of the articles published by professors of a POM group. These factors are (a) the presence of a POM research center, (b) funding received from external sources for research purposes, and (c) better library facilities. Doctoral students do assist in improving research quality and productivity, but they are not the driving force. These results have important implications for establishing policy guidelines for business schools. For example, real-world problems are funded by external sources and have a higher probability of publication. Furthermore, schools could place more emphasis on external funding, as most engineering schools do, since groups receiving external funding are more productive in terms of research.
Approved in 1984, the Education Improvement Act introduced programs to recognize and foster superior performance, identify and improve poor performance, and enhance student achievement. The Legislature supported this reform effort through an increase of one cent in the state sales tax.
In: Santos, R. C. dos, Johann, D., & Tutida, A. Y. (2023). Supply Chain Management, Circular Economy, Commodity: pesquisa de artigos publicados nos últimos 30 anos. In Open Science Brazil. https://doi.org/10.37497/opsbrazil.11
'This article introduces the data integration and consolidation process of the research data base of the Institute for Employment Research. The data are process generated data and stem from various, autonomous administrative processes. This fact implies that there are manifold inconsistencies between the data from the different data sources. This opens up the methodological problem of a successful consolidation of inconsistencies. Two contrarian strategies to handle this methodological problem are discussed and the solution in the IAB-data base is presented.' (author's abstract)
PurposeThe purpose of this paper is to investigate current status of operations research/management science education at the United Arab Emirates (UAE) business schools in terms of the position of operational research/management science (OR/MS) course in the curriculum, the title assigned to this course, its objectives, contents, teaching methods, text‐books used, assessment methods, and pre‐requisites.Design/methodology/approachOwing to the nature of this paper (exploratory), and the data collected (non‐numerical) this paper has adopted qualitative approach to analyze the collected data.FindingsResults reveal that all business schools offering this course offer only one OR/MS course. Results also show that OR/MS course is a business core course in the majority of schools offering this course. It is also found that different titles are assigned to this course at different business schools offering this course. Furthermore, results indicate that the main teaching mode used in this course is lectures and main assessment method is exams. It is found that the prevalent objectives of OR/MS course at the business schools offering this course are: teaching students quantitative skills needed to tackle real‐world problems, and teaching students how to use certain OR/MS techniques and how to use software to solve OR/MS models.Research limitations/implicationsThis paper like any other paper in the social sciences suffers a number of limitations. For example, this paper is based mainly on course syllabus as a mode of obtaining the required data. Therefore, if other modes of data collection, such as, for example, questionnaires are used, more advanced analysis techniques could be used and this in turn might enhance the results of the study. Furthermore, this paper is based mainly on the point of views of the instructors teaching OR/MS course and therefore neglecting the views of the students taking the course.Practical implicationsThis paper has a number of implications for courses' developers and instructors alike. For courses' developers, they will be aware of current status of OR/MS education in the UAE and this in turn might enable them make better decisions regarding OR/MS courses in terms of objectives, contents, teaching formats, assessment methods, etc. For instructors, they will learn from the experiences of each other and this, of course, will enhance their ability to deliver the course in much more effective manner.Originality/valueOwing to paucity of studies concerning OR/MS education in the Arab countries in general and in the UAE in particular, this paper is the first paper which provides a comprehensive picture of the status of OR/MS education at the UAE business schools.