The Moderating Role of Affective Interpersonal Conflict on Managerial Decision-making and Organizational Performance in Private Sector Organizations: A Study of Ghana

2019 ◽  
Vol 21 (1) ◽  
pp. 20-41 ◽  
Author(s):  
James B. Abugre
Keyword(s):  
Decision Making ◽  
Private Sector ◽  
Organizational Performance ◽  
Interpersonal Conflict ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Private Sector Organizations ◽  
Moderating Role

Predictive data analytics for contract renewals: a decision support tool for managerial decision-making

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Serhat Simsek ◽  
Abdullah Albizri ◽  
Marina Johnson ◽  
Tyler Custis ◽  
Stephan Weikert
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Organizational Performance ◽  
Predictive Analytics ◽  
Design Science ◽  
Decision Support Tool ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Content Type ◽  
Support Tool

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.

Maximising Marketing Effectiveness

1990 ◽  
Vol 28 (2) ◽  
Author(s):  
Gordon Wills ◽  
Sherril H. Kennedy ◽  
John Cheese ◽  
Angela Rushton
Keyword(s):  
Decision Making ◽  
Final Section ◽  
Building Blocks ◽  
Full Understanding ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Marketing Effectiveness ◽  
Key Concepts ◽  
Marketing Intelligence

To achieve a full understanding of the role of marketing from plan to profit requires a knowledge of the basic building blocks. This textbook introduces the key concepts in the art or science of marketing to practising managers. Understanding your customers and consumers, the 4 Ps (Product, Place, Price and Promotion) provides the basic tools for effective marketing. Deploying your resources and informing your managerial decision making is dealt with in Unit VII introducing marketing intelligence, competition, budgeting and organisational issues. The logical conclusion of this effort is achieving sales and the particular techniques involved are explored in the final section.

scholarly journals FUZZY LOGIC AND ARTIFICIAL INTELLIGENCE TOOLS IN THE CONTEXT OF TOURISM ANALYSIS

2020 ◽  
pp. 601-617
Author(s):  
Simona Hašková ◽  
◽  
Jakub Horák ◽  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Fuzzy Approach ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
The Czech Republic ◽  
Travel And Tourism ◽  
Tourism Sector ◽  
Qualitative Nature

Qualitative and quantitative approaches to multicriteria evaluation and managerial decision- making often ignore the specifics of the role of the human factor. This article summarizes management methods that reflect not only numerical inputs but also data of a qualitative nature while considering their applicability in the tourism sector. Some of them can be assorted within the classes of Artificial intelligence. The focus is on the fuzzy approach at the theoretical and application level. The fuzzy approach is used to evaluate the degree of country travel and tourism competitiveness of selected European and Asian countries based on subjective rankings from the viewpoint of travelling persons. The results indicate that among countries under review, China is ranked as a highly competitive country in travel & tourism. Conditional competitive countries in terms of travel & tourism are the Czech Republic, Pakistan, Russia, and Turkey.

A Strategic Management Perspective on Host Country Structure of Multinational Enterprises

1992 ◽  
Vol 18 (3) ◽  
pp. 455-471 ◽  
Author(s):  
Stephen B. Tallman
Keyword(s):  
Decision Making ◽  
Strategic Management ◽  
Cost Efficiency ◽  
Multinational Enterprises ◽  
Multinational Enterprise ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Management Perspective ◽  
Strategic Manager

This article proposes that the oligopoly power and internalization models of the multinational enterprise should be reviewed in light of the newly developing resource-based model of strategy and managerial decision-making models of strategic management. The perspective described here suggests that strategy-making under conditions of uncertainty and the drive to gain competitive advantage from deployment of firm-specific resources are important issues in the internalization decision of the MNE in a host market. The role of transaction cost efficiency in generating subsidiary governance structures is redefined to be compatible with the demands of these additional considerations of the multinational strategic manager.

Sign in / Sign up

Export Citation Format

Share Document