Long-Range, Complex Decision-Making Processes in the Public Sector

Author(s):  
Herman Steensma and Henk Boer
2015 ◽  
Vol 11 (4) ◽  
pp. 89-101 ◽  
Author(s):  
Khalifa Al-Farsi ◽  
Ramzi EL Haddadeh

Information technology governance is considered one of the innovative practices that can provide support for decision-makers. Interestingly, it has become increasingly a de facto for organizations in seeking to optimise their performance. In principle, information technology governance has emerged to support organizations in the integration of information technology (IT) infrastructures and the delivery of high-quality services. On the other hand, decision-making processes in public sector organisations can be multi-faceted and complex, and decision makers play an important role in implementing technology in the public sector. The aim of this paper is to shed some light on current opportunities and challenges that IT governance is experiencing in the context of public sector services. In this respect, this paper examines the factors influencing the decision-making process to fully appreciate IT governance. Furthermore, this study focuses on combining institutional and individual perspectives to explain how individuals can take decisions in response to institutional influences.


2018 ◽  
pp. 93-103
Author(s):  
Алексей Николаевич Рева ◽  
Шахин Шахвели-оглы Насиров ◽  
Бала Мушгюль-оглы Мирзоев

The human factor problem should be solved by identifying, qualifying and preventing the erroneous actions of the air traffic controllers. It is presented two schemes explaining the structure of human qualimetry factor and the interaction of the components of the ICAO safety concept, where the main emphasis is on an aviation personnel’ attitude to dangerous actions or conditions, which is revealed by the qualimetry of the decision-making processes’ characteristics: the attitude towards risk (the main dominants and fuzzy assessments), levels of claims, dangerous qualities and preferences systems. The preferences systems are considered as ordered characteristics and indicators of professional activity, which are subjectively compared with the positions of influence on flight safety. The spectrum of n = 21 characteristic errors was formed considering the recommendations of ICAO, EUROCONTROL and accident statistics. It is determined that procedures of collecting the information of errors danger contribute their recognition, memorization, and avoidance: controllers who passed the test according to the proposed method before training made by one third fewer errors in its process. Two criteria for assessing group preferences are realized: the level of consensus (known as Kendall’s coefficient of concordance) and the severity of the ranking, determined by the presence of "related" ranks, for which a special indicator is introduced. It is defined that this indicator should be determined both for the sample of respondents and for the preferences group systems of developed with the chosen method of individual opinions’ aggregation. It was performed the comparative analysis of complex decision-making strategies of effectiveness in the construction of a preferences group systems m = 65 controllers: sum and averaging of ranks, classical criteria (Wald's, Savage's and Laplace's criterion), optimal prediction, applying the non-parametric optimization of the preferences group systems. The non-parametric optimization of the group system of pre-readings was carried out by Kemeny median and it was proved that it was the closest to all the results obtained by other methods and strategies


Author(s):  
Aidé Maldonado-Macías ◽  
Jorge Luis García-Alcaraz ◽  
Francisco Javier Marrodan Esparza ◽  
Carlos Alberto Ochoa Ortiz Zezzatti

Advanced Manufacturing Technology (AMT) constitutes one of the most important resources of manufacturing companies to achieve success in an extremely competitive world. Decision making processes for the Evaluation and Selection of AMT in these companies must lead to the best alternative available. Industry is looking for a combination of flexibility and high quality by doing significant investments in AMT. The proliferation of this technology has generated a whole field of knowledge related to the design, evaluation and management of AMT systems which includes a broad variety of methodologies and applications. This chapter presents a theoretical review of the term AMT, its diverse classification and a collection of the most effective multi-attribute models and methodologies available to support these processes. Relevant advantages are found in these models since they can manage complex decision making problems which involve large amount of information and attributes. These attributes frequently can be tangible and intangible when vagueness and uncertainty exist. There are several multi-attribute methodologies which are extensively known and used in literature; nevertheless, a new fuzzy multi-attribute axiomatic design approach is explained for an ergonomic compatibility evaluation of AMT.


Author(s):  
John Bang Mathiasen ◽  
Henning de Haas

This study aims to understand the extent of superfluous work at shop floors and suggests some managerial opportunities for reducing superfluous work. Drawing on the abductive reasoning, the research systematically combines a theoretical conceptualisation of decision-making processes in a digitalised manufacturing with an empirical enquiry of a smart manufacturing. The paper reveals superfluous work if decision-making processes cross disciplinary and/or organisational boundaries. Superfluous work occurs because of lacking data and information to guide reflective thinking and knowledge sharing. In relation to high complex decision making the ongoing implementation of workarounds does also cause superfluous work. Prerequisites for reducing superfluous work are accessibility of applicable data to guide reflective thinking and knowledge sharing.


Author(s):  
Clare Lade ◽  
Paul Strickland ◽  
Elspeth Frew ◽  
Paul Willard ◽  
Sandra Cherro Osorio ◽  
...  

The management of tourism, hospitality and events is often consumed with solving problems. Whether it be the daily operation of the business or planning for the future, the manager must make decisions concerning problems that are faced by the organisation. Senior management are often responsible for solving the more complicated problems and issues. These may include having to deal with external stakeholders and the public, who have vested interests in particular outcomes. Solving problems at scale creates challenges for the manager of an organisation or destination. This chapter considers the ways in which problems can be evaluated and solved and alternatives for some of the bigger issues that senior managers and organisations face. It opens with a discussion of traditional approaches to solving problems; those which individuals generally take in their day-to-day lives. It is argued that this does not work well for the types of issues faced by senior managers. Two alternative approaches are introduced which can provide insights into problems and assist in unravelling the issues involved in complex decision-making.


Author(s):  
Brian J. Galli

This research takes a comparative analysis approach to study the process of economic decision-making within the private sector and the public sector. There are four main research objectives that guided this article. First, it aims to identify the different kinds of decision-making methods. Second, this article analyzes the economic decision-making processes that stakeholders have to make in public and private firms. Third, this r seeks to illustrate that establish effective decision-making and financial performance relate. Lastly, the article will offer effective economic decision-making procedures in private and public organizations, so as to make recommendations and to guide these businesses. To do so, there is a literature review in this research to find the best economic decision-making processes. Data collection tools were created in reference to the literature review that directed the structuring of the variables, and the study based the quantitative analysis on the adopted descriptive methodology. The sample was comprised of 100 respondents from China, and since 95% responded, that was a total of 95 responses. Based on the formulated study hypothesis and the research objectives, the collected data was examined for descriptive and inferential statistical analysis. In general, the findings showed that cost-benefit analysis was the favored economic evaluation method, and the respondents specified that they their internal and external economic decisions directly influence the company's operations. When focusing on how organizational performance is affected by effective economic decisions, the findings established that there was a key component for a better economic analysis outcome in the public and private firms: accounting information. Additionally, evaluating the number of processes in public and private firms led to findings that revealed the following: every decision in the public sector requires many approvals. These approvals greatly hinder economic decisions and decision-making. Social, cultural, and environmental aspects influence the decision process significantly, so they must be addressed immediately.


2013 ◽  
Vol 27 (3) ◽  
pp. 113-123 ◽  
Author(s):  
Evelien Kostermans ◽  
Renske Spijkerman ◽  
Rutger C. M. E. Engels ◽  
Harold Bekkering ◽  
Ellen R. A. de Bruijn

Different theoretical accounts have attempted to integrate anterior cingulate cortex involvement in relation to conflict detection, error-likelihood predictions, and error monitoring. Regarding the latter, event-related potential studies have identified the feedback-related negativity (FRN) component in relation to processing feedback which indicates that a particular outcome was worse than expected. According to the conflict-monitoring theory the stimulus-locked N2 reflects pre-response conflict. Assumptions of these theories have been made on the basis of relatively simple response-mapping tasks, rather than more complex decision-making processes associated with everyday situations. The question remains whether expectancies and conflicts induced by everyday knowledge similarly affect decision-making processes. To answer this question, electroencephalogram and behavioral measurements were obtained while participants performed a simulated traffic task that varied high and low ambiguous situations at an intersection by presenting multiple varying traffic light combinations. Although feedback was kept constant for the different conditions, the tendency to cross was more pronounced for traffic light combinations that in reallife are associated with proceeding, as opposed to more ambiguous traffic light combinations not uniquely associated with a specific response. On a neurophysiological level, the stimulus-locked N2 was enhanced on trials that induced experience-based conflict and the FRN was more pronounced for negative as compared to positive feedback, but did not differ as a function of everyday expectancies related to traffic rules. The current study shows that well-learned everyday rules may influence decision-making processes in situations that are associated with the application of these rules, even if responding accordingly does not lead to the intended outcomes.


Author(s):  
Steven Walczak ◽  
Deborah L. Kellogg ◽  
Dawn G. Gregg

Purchase processes often require complex decision making and consumers frequently use Web information sources to support these decisions. However, increasing amounts of information can make finding appropriate information problematic. This information overload, coupled with decision complexity, can increase time required to make a decision and reduce decision quality. This creates a need for tools that support these decision-making processes. Online tools that bring together data and partial solutions are one option to improve decision making in complex, multi-criteria environments. An experiment using a prototype mashup application indicates that these types of applications may significantly decrease time spent and improve overall quality of complex retail decisions.


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