Improving Project Management Decisions With Big Data Analytics

A relationship between project management and knowledge management was observed with a detailed level of analysis in this chapter, as analytics tools and methods were presented to define new perspectives for these dynamics. After a theoretical review that advanced the level reached by a previous paper on the same topic a new theoretical background was completely worked, resulting in a base where a deeper way of analysis allowed, at the end, to study practical cases of rich association for PM and KM in practical, ready to apply situations. As a trend for next competitive cycles, tools, methods, and techniques that focus knowledge production for decision making are to be increasingly defined and applied, on one hand enabling organizations to propose new competitive structures and positioning, and on the other hand, presenting a more aggressive, faster, and demanding competitive environment.

Download Full-text

Coding Inequality

Predict and Surveil ◽

10.1093/oso/9780190684099.003.0006 ◽

2020 ◽

pp. 100-117

Author(s):

Sarah Brayne

Keyword(s):

Decision Making ◽

Big Data ◽

Data Analytics ◽

Social Inequalities ◽

Big Data Analytics ◽

The Other ◽

Surveillance Network ◽

Data Intensive ◽

The One ◽

Reproduction Of Inequality

This chapter looks at the promise and peril of police use of big data analytics for inequality. On the one hand, big data analytics may be a means by which to ameliorate persistent inequalities in policing. Data can be used to “police the police” and replace unparticularized suspicion of racial minorities and human exaggeration of patterns with less biased predictions of risk. On the other hand, data-intensive police surveillance practices are implicated in the reproduction of inequality in at least four ways: by deepening the surveillance of individuals already under suspicion, codifying a secondary surveillance network of individuals with no direct police contact, widening the criminal justice dragnet unequally, and leading people to avoid institutions that collect data and are fundamental to social integration. Crucially, as currently implemented, “data-driven” decision-making techwashes, both obscuring and amplifying social inequalities under a patina of objectivity.

Download Full-text

Assessing the Overall Impact of Data Analytics on Company Decision Making and Innovation

International Journal of Business Analytics ◽

10.4018/ijban.2021100103 ◽

2021 ◽

Vol 8 (4) ◽

pp. 34-51

Author(s):

Tor Guimaraes ◽

Ketan Paranjape

Keyword(s):

Decision Making ◽

Data Analytics ◽

Big Data Analytics ◽

Comprehensive Model ◽

Business Innovation ◽

Four Dimensions ◽

Top Managers ◽

Technical Proficiency ◽

The Impact ◽

Tools And Methods

To assess the impact of big data analytics (BDA) on company decision making, data was collected from 225 company top managers and chief data officers in charge of the BDA group to empirically test this relationship. The data represents a sample of companies which have formally implemented BDA for at least three years with varying degrees of success. Despite considerable differences from company to company, on average the results corroborated the importance of the BDA function along four dimensions (BDA tools and methods, personnel technical proficiency, company readiness, and applications quality) in supporting company decision making toward business innovation. Managers responsible for implementing BDA in their companies should seriously consider these findings to improve the likelihood of success in their projects. The results also call for the identification of other potential determinants for BDA success as a tool for company innovation, as well as potential moderators and mediators for inclusion in a more comprehensive model.

Download Full-text

Geld als Fiktion?

PROKLA Zeitschrift für kritische Sozialwissenschaft ◽

10.32387/prokla.v45i179.217 ◽

2015 ◽

Vol 45 (179) ◽

Author(s):

Heiner Ganßmann

Keyword(s):

Decision Making ◽

Recent Literature ◽

Precious Metals ◽

Theoretical Background ◽

The Other ◽

Social Constructions ◽

Credit System ◽

The Public ◽

Commodity Money ◽

Natural Base

Starting from frequent characterizations of modern money as a fiction, the text discusses the theoretical background of the idea that money once was something „real“ whereas now it amounts to no more than a fiction. The distinction has its roots in the conviction that only commodity money was (or is) something „real“, whereas credit money is held to be fictitious money. However, both forms of money are social constructions, one operating with a „natural“ base in the form of precious metals, the other in the context of a politically managed credit system with the central bank as the lead institution. The problem with the latter is that it is not well understood, as the article demonstrates by going through Keynes understanding of money in his Treatise and some of the recent literature. Another recently popular theoretical remedy to enlighten the public about the money it uses has been to declare that all money is credit. However this is a simplification that threatens to undermine the project of improving the general understanding of money as a prerequisite for more democratic decision-making in the wake of the financial and the Euro crises. The fiction concerning money that remains is that there can be such a thing as a monetary invariant.

Download Full-text

Data Analytics Supporting Knowledge Acquisition

Crowdsourcing and Knowledge Management in Contemporary Business Environments - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-5225-4200-1.ch008 ◽

2019 ◽

pp. 146-165

Author(s):

Soraya Sedkaoui

Keyword(s):

Decision Making ◽

Big Data ◽

Knowledge Acquisition ◽

Data Analytics ◽

Big Data Analytics ◽

Strong Support ◽

Decision Makers ◽

Organization Performance ◽

Challenges And Opportunities ◽

Tools And Methods

This chapter aims to make the case that analytics methods must respond to the significant changes that big data challenges are bringing to operationalizing the production of information and knowledge. More specifically it discusses the analytics dimension of big data challenges and its contribution for value creation. It shows that data analytics tools and methods offer strong support in knowledge acquisition and discovery. This suggests that the effectiveness of an analytics method must be measured based on how it promotes and enhances knowledge, how it improves patterns and understanding of the decision makers, and thereby how it improves their decision making and hence organization performance. This chapter explores the synergies between big data analytics and knowledge discovery by identifying challenges and opportunities in data analytics applications for knowledge acquisition.

Download Full-text

PROJECT MANAGEMENT – TRADITIONAL OR AGILE?

Zeszyty Naukowe Wyższej Szkoły Humanitas Zarządzanie ◽

10.5604/01.3001.0013.2423 ◽

2019 ◽

Vol 20 (1) ◽

pp. 89-98

Author(s):

Hanna Soroka-Potrzebna

Keyword(s):

Project Management ◽

Traditional Approach ◽

Business Environment ◽

The Other ◽

Agile Project Management ◽

The World ◽

Methods And Techniques ◽

Long Time ◽

The One ◽

High Level

In a fast-growing world, project management has become one of the most important pillars that help companies operate without interruptions in their processes. Both small and large organizations around the world use methods and techniques of project management to successfully complete various projects without any obstacles. Although traditional project management has been used for a long time, for several years changes have been observed on the one hand due to the high level of complexity and dynamics of the business environment, and on the other hand the innovativeness of enterprises. In such an environment, the traditional approach becomes inadequate to the contemporary requirements of the environment and may be unfavorable for projects that are structurally complex and uncertain. Currently, it is the agile project management that is considered the most practical and flexible for the company’s development. The article aims to present and compare both approaches to project management, and to assess the validity of the prevailing belief that agile project management is better.

Download Full-text

A Bird in the Hand Isn’t Good for Long

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000385 ◽

2018 ◽

Vol 65 (1) ◽

pp. 23-31 ◽

Cited By ~ 2

Author(s):

Stefan Scherbaum ◽

Simon Frisch ◽

Maja Dshemuchadse

Keyword(s):

Decision Making ◽

Cognitive Control ◽

The Other ◽

Decision Task ◽

Short Term ◽

Additional Time ◽

Control Processes ◽

Folk Wisdom ◽

Study Participants ◽

Insight Into

Abstract. Folk wisdom tells us that additional time to make a decision helps us to refrain from the first impulse to take the bird in the hand. However, the question why the time to decide plays an important role is still unanswered. Here we distinguish two explanations, one based on a bias in value accumulation that has to be overcome with time, the other based on cognitive control processes that need time to set in. In an intertemporal decision task, we use mouse tracking to study participants’ responses to options’ values and delays which were presented sequentially. We find that the information about options’ delays does indeed lead to an immediate bias that is controlled afterwards, matching the prediction of control processes needed to counter initial impulses. Hence, by using a dynamic measure, we provide insight into the processes underlying short-term oriented choices in intertemporal decision making.

Download Full-text

Mental Contrasting of Future and Reality

Journal of Personnel Psychology ◽

10.1027/1866-5888/a000018 ◽

2010 ◽

Vol 9 (3) ◽

pp. 138-144 ◽

Cited By ~ 18

Author(s):

Gabriele Oettingen ◽

Doris Mayer ◽

Babette Brinkmann

Keyword(s):

Decision Making ◽

Everyday Life ◽

Brief Intervention ◽

Middle Level ◽

The Other ◽

Metacognitive Strategy ◽

Mental Contrasting ◽

Low Expectations

Mental contrasting of a desired future with present reality leads to expectancy-dependent goal commitments, whereas focusing on the desired future only makes people commit to goals regardless of their high or low expectations for success. In the present brief intervention we randomly assigned middle-level managers (N = 52) to two conditions. Participants in one condition were taught to use mental contrasting regarding their everyday concerns, while participants in the other condition were taught to indulge. Two weeks later, participants in the mental-contrasting condition reported to have fared better in managing their time and decision making during everyday life than those in the indulging condition. By helping people to set expectancy-dependent goals, teaching the metacognitive strategy of mental contrasting can be a cost- and time-effective tool to help people manage the demands of their everyday life.

Download Full-text

MAPPING AND ENHANCING DESIGN STUDIES WITH PSI META-THEORETIC DESIGN FRAMEWORK

Proceedings of the Design Society ◽

10.1017/pds.2021.462 ◽

2021 ◽

Vol 1 ◽

pp. 2007-2016

Author(s):

Yoram Reich ◽

Eswaran Subrahmanian

Keyword(s):

Design Research ◽

The Other ◽

Design Studies ◽

Abstraction Level ◽

Follow Up Studies ◽

The One ◽

The Right ◽

Abstract Framework ◽

Tools And Methods

AbstractDesign research as a field has been studied from diverse perspectives starting from product inception to their disposal. The product of these studies includes knowledge, tools, methods, processes, frameworks, approaches, and theories. The contexts of these studies are innumerable. The unit of these studies varies from individuals to organizations, using a variety of theoretical tools and methods that have fragmented the field, making it difficult to understand the map of this corpus of knowledge across this diversity.In this paper, we propose a model-based approach that on the one hand, does not delve into the details of the design object itself, but on the other hand, unifies the description of design problem at another abstraction level. The use of this abstract framework allows for describing and comparing underlying models of published design studies using the same language to place them in the right context in which design takes place and to enable to inter-relate them, to understand the wholes and the parts of design studies.Patterns of successful studies could be generated and used by researchers to improve the design of new studies, understand the outcome of existing studies, and plan follow-up studies.

Download Full-text