Precision Minds: An Investigation Into the use of Information in Operational-Level Decision Making and Learning

2005 ◽  
Author(s):  
Christopher James Bell ◽  
Keyword(s):  
Decision Making ◽  
Operational Level

scholarly journals 307 A systems approach to understanding biosecurity decision-making

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 43-43
Author(s):  
Scott C Merrill ◽  
Christopher Koliba ◽  
Gabriela Bucini ◽  
Eric Clark ◽  
Luke Trinity ◽  
...  
Keyword(s):  
Decision Making ◽  
Negative Impact ◽  
Risk Mitigation ◽  
African Swine Fever Virus ◽  
The United States ◽  
Mitigation Strategies ◽  
Communication Strategy ◽  
Livestock Industry ◽  
Diarrhea Virus ◽  
Operational Level

Abstract Disease and its consequences result in social and economic impacts to the US animal livestock industry, ranging from losses in human capital to economic costs in excess of a billion dollars annually. Impacts would dramatically escalate if a devastating disease like Foot and Mouth Disease or African Swine Fever virus were to emerge in the United States. Investing in preventative biosecurity can reduce the likelihood of disease incursions and their negative impact on our livestock industry, yet uncertainty persists with regards to developing an effective biosecurity structure and culture. Here we show the implications of human behavior and decision making for biosecurity effectiveness, from the operational level to the owner/managerial level and finally to the systems level. For example, adjustments to risk messaging strategies could double worker compliance with biosecurity practices at the operational level. The improvement of our risk communication strategy may increase willingness to invest in biosecurity. Furthermore, the adaptation of policies could nudge behavior so that we observe a short disease outbreak followed by a quick eradication instead of a pandemic. Our research shows how the emergence of now-endemic diseases, such as Porcine Epidemic Diarrhea virus, cannot be adequately modeled without the use of a human behavioral component. Focusing solely on any one sector or level of the livestock system is not sufficient to predict emergent disease patterns and their social and economic impact on livestock industries. These results provide insight toward developing more effective risk mitigation strategies and ways to nudge behavior toward more disease resilient systems.

scholarly journals Introducing Sustainability in Value Models to Support Design Decision Making: A Systematic Review

2017 ◽  
Author(s):  
Marco Bertoni
Keyword(s):  
Decision Making ◽  
Customer Value ◽  
Design Decision ◽  
Strategic Decisions ◽  
Managerial Decision ◽  
Support Design ◽  
A Value ◽  
Operational Level ◽  
Sustainability Research ◽  
Operational Activities

Manufacturing organizations shall recognize sustainability as a business occasion to capitalize on, rather than an undesirable pressing situation. Still, empirical evidence shows that this opportunity is hard to capture and communicate in global strategic decisions, through planning by tactical management, to daily operational activities. This paper systematically reviews the modelling challenges at the cross-road of value and sustainability decisions making, spotlighting methods and tools proposed in literature to link sustainability to customer value creation at strategic, tactical and operational level. While statistical results show that the topic of sustainability and value modeling is trending in literature, findings from content analysis reveal that recent attempts to promote a value-based view in the sustainability discussion remain at a strategic level, with most of the proposed indicators being suited for managerial decision-making. The lack of support at operational level points to the opportunity of cross-pollinating sustainability research with value-centered methodologies originating from the aerospace sector. The Value Driven Design framework is proposed as main hub from which to derive models supporting engineers and technology developers in the identification of win-win-win situations, where sustainable improvements are aligned with business advantages.

Implementing asset data management in power companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Elizaveta Gavrikova ◽  
Irina Volkova ◽  
Yegor Burda
Keyword(s):  
Decision Making ◽  
Data Management ◽  
Electric Power ◽  
Organizational Context ◽  
Corporate Strategy ◽  
Strategic Decision ◽  
Content Type ◽  
Operational Level ◽  
Asset Data

PurposeThe purpose of this paper is to design a framework for asset data management in power companies. The authors consider asset data management from a strategic perspective, linking operational-level data with corporate strategy and taking into account the organizational context and stakeholder expectations.Design/methodology/approachThe authors conducted a multiple case study based on a literature review and three series of in-depth interviews with experts from three Russian electric power companies.FindingsThe main challenge in asset data management for electric power companies is the increasing amount and complexity of asset data, which is frequently incomplete or inaccurately collected, hard to translate to managerial language, focused primarily on the operational level. Such fragmented approach negatively affects strategic decision-making. The proposed framework introduces a holistic approach, provides context and accountability for decision-making and attributes data flows, roles and responsibilities to different management levels.Research limitations/implicationsThe limitations of our study lie in the exploratory nature of case study research and limited generalization of the observed cases. However, the authors used multiple sources of evidence to ensure validity and generalization of the results. This article is a first step toward further understanding of the issues of transformation in power companies and other asset intensive businesses.Originality/valueThe novelty of the framework lies in the scope, focus and detailed treatment of asset data management in electric power companies.

scholarly journals Innovation Process Planning Model in the Bpmn Standard

2013 ◽  
Vol 5 (2) ◽  
pp. 25-38
Author(s):  
Magdalena Jurczyk-Bunkowska
Keyword(s):  
Decision Making ◽  
Process Planning ◽  
Process Model ◽  
Innovation Process ◽  
Original Model ◽  
Planning Model ◽  
Business Process Model ◽  
Operational Level ◽  
Directed Development ◽  
Innovation Processes

AbstractThe aim of the article is to show the relations in the innovation process planning model. The relations argued here guarantee the stable and reliable way to achieve the result in the form of an increased competitiveness by a professionally directed development of the company. The manager needs to specify the effect while initiating the realisation of the process, has to be achieved this by the system of indirect goals. The original model proposed here shows the standard of dependence between the plans of the fragments of the innovation process which make up for achieving its final goal. The relation in the present article was shown by using the standard Business Process Model and Notation. This enabled the specification of interrelations between the decision levels at which subsequent fragments of the innovation process are planned. This gives the possibility of a better coordination of the process, reducing the time needed for the achievement of its effect. The model has been compiled on the basis of the practises followed in Polish companies. It is not, however, the reflection of these practises, but rather an idealised standard of proceedings which aims at improving the effectiveness of the management of innovations on the operational level. The model shown could be the basis of the creation of systems supporting the decision making, supporting the knowledge management or those supporting the communication in the innovation processes.

Utilising ontology for “heteregeneous data analysis in organizational goals”

2019 ◽  
Vol 15 (3) ◽  
pp. 310-323
Author(s):  
Tengku Adil Tengku Izhar ◽  
Bernady O. Apduhan ◽  
Torab Torabi
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Design Methodology ◽  
Decision Making Process ◽  
Time Data ◽  
Content Type ◽  
Organizational Goals ◽  
Dependency Relationship ◽  
Operational Level ◽  
The Relationship

Purpose The purpose of this paper is to assess the level of the organizational goal accomplishment by assessing the reliance relationship between organizational data and organizational goals. Design/methodology/approach The evaluation of the organizational goals is based on design and operational level, which can serve in ranking of the organizational goals achievement and hence assist the decision-making process in achieving the organizational goals. To achieve this aim, the authors propose an ontology to develop the relationship between organizational data and organizational goals. Findings Data goals dependency shows the dependency relationship between organizational data and organizational goals. At the same time, data goals dependency assists the process of identifying data attributes, where the authors suggest that these data attributes are relevant in relation to the organizational goals. Originality/value The contribution of this paper will serve as the first step to evaluate the relevance of organizational data to assist decision-making in relation to the organizational goals.

Complementarities Between Stakeholder Management and Participative Management: Evidence From the Youth Care Sector

2016 ◽  
Vol 46 (3) ◽  
pp. 586-606 ◽  
Author(s):  
Yves Fassin ◽  
Jolien Deprez ◽  
Annelien Van den Abeele ◽  
Aimé Heene
Keyword(s):  
Decision Making ◽  
Stakeholder Management ◽  
Nonprofit Sector ◽  
Youth Care ◽  
Strategic Decision ◽  
Participative Management ◽  
Management Decision ◽  
Specific Situation ◽  
Operational Level ◽  
Management Decision Making

This article analyzes how stakeholder management is applied in the case of special youth guidance homes in Belgium. It describes a specific situation in which a major stakeholder—adolescents in the homes—is part of the process. Our research illustrates the different organizational roles and the complementarities between stakeholder management and participative management. Although stakeholder management is important for strategic decision making, participation is more important on an operational management level. Our cases illustrate that important stakeholders, for example, the customers—the adolescents and their parents—as well as employees in the homes evaluate participation on an operational level as being more important than participation in the board or in strategic management decision making in the organization. By disentangling the distinction between the operational level and the policy level of stakeholder management, our research links participative management and stakeholder management while clarifying the application of stakeholder management in the nonprofit sector.

scholarly journals Introducing Sustainability in Value Models to Support Design Decision Making: A Systematic Review

2017 ◽  
Author(s):  
Marco Bertoni
Keyword(s):  
Decision Making ◽  
Customer Value ◽  
Design Decision ◽  
Strategic Decisions ◽  
Managerial Decision ◽  
Support Design ◽  
A Value ◽  
Operational Level ◽  
Sustainability Research ◽  
Operational Activities

Manufacturing organizations shall recognize sustainability as a business occasion to capitalize on, rather than an undesirable pressing situation. Still, empirical evidence shows that this opportunity is hard to capture and communicate in global strategic decisions, through planning by tactical management, to daily operational activities. This paper systematically reviews the modelling challenges at the cross-road of value and sustainability decisions making, spotlighting methods and tools proposed in literature to link sustainability to customer value creation at strategic, tactical and operational level. While statistical results show that the topic of sustainability and value modeling is trending in literature, findings from content analysis reveal that recent attempts to promote a value-based view in the sustainability discussion remain at a strategic level, with most of the proposed indicators being suited for managerial decision-making. The lack of support at operational level points to the opportunity of cross-pollinating sustainability research with value-centered methodologies originating from the aerospace sector. The Value Driven Design framework is proposed as main hub from which to derive models supporting engineers and technology developers in the identification of win-win-win situations, where sustainable improvements are aligned with business advantages.

scholarly journals Introducing Sustainability in Value Models to Support Design Decision Making: A Systematic Review

2017 ◽  
Author(s):  
Marco Bertoni
Keyword(s):  
Decision Making ◽  
Customer Value ◽  
Design Decision ◽  
Strategic Decisions ◽  
Managerial Decision ◽  
Support Design ◽  
A Value ◽  
Operational Level ◽  
Sustainability Research ◽  
Operational Activities

Manufacturing organizations shall recognize sustainability as a business occasion to capitalize on, rather than an undesirable pressing situation. Still, empirical evidence shows that this opportunity is hard to capture and communicate in global strategic decisions, through planning by tactical management, to daily operational activities. This paper systematically reviews the modeling challenges at the crossroad of value and sustainability decisions making, spotlighting methods and tools proposed in literature to link sustainability to customer value creation at strategic, tactical and operational level. While statistical results show that the topic of sustainability and value modeling is trending in literature, findings from content analysis reveal that recent attempts to promote a value-based view in the sustainability discussion remain at a strategic level, with most of the proposed indicators being suited for managerial decision-making. The lack of support at operational level points to the opportunity of cross-pollinating sustainability research with value-centered methodologies originating from the aerospace sector. The Value Driven Design framework is proposed as main hub from which to derive models supporting engineers and technology developers in the identification of win-win-win situations, where sustainable improvements are aligned with business advantages.

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