Switching Gears

Bases Loaded ◽  
2020 ◽  
pp. 45-66
Author(s):  
Costas Panagopoulos
Keyword(s):  
Decision Making ◽  
Presidential Campaign ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Campaign Strategy ◽  
Campaign Activity ◽  
Over Time ◽  
2000 Election

This chapter demonstrates the change in campaign-targeting strategies both over time and following the adoption of microtargeting techniques by political operatives leading up to and following the 2000 election. The analyses show that strong partisans and committed ideologues have been targeted by campaigns at higher rates, while independents have received less and less attention from campaigns in recent cycles. I concede these analyses represent only an indirect attempt to observe shifts in presidential campaign strategy, but consistent, direct, and reliable measures of campaign targeting over time are unavailable. Nevertheless, inferences about campaign behavior and strategic decision-making can be gleaned from Americans’ reports of campaign activity.

Quality and Effectiveness of ERP Software

2020 ◽  
pp. 28-52
Author(s):  
Stephen Makau Mutua ◽  
Raphael Angulu
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Knowledge Discovery ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Data Repository ◽  
Quality Information ◽  
Erp System ◽  
Entry Points ◽  
Over Time

Over time, the adoption of ERP systems has been wide across many small, medium, and large organizations. An ERP system is supposed to inform the strategic decision making of the organization; therefore, the information drawn from the ERP system is as important as the data stored in it. Poor data quality affects the quality information in it. Data mining is used to discover trends and patterns of an organization. This chapter looks into the way of integrating these data mining into an ERP system. This is conceptualized in three crucial views namely the outer, inner, and the knowledge discovery view. The outer view comprises of the collection of various entry points, the inner view contains the data repository, and the knowledge discovery view offers the data mining component. Since the focus is data mining, the two strategies of supervised and unsupervised are discussed. The chapter then concludes by presenting the probable problems within which each of these two strategies (classification and clustering) can be put into place within the mining process of an ERP system.

scholarly journals HR Managers’ Emotions in Strategic Decision-Making Events: Evidence from Croatia

2021 ◽  
Vol 13 (2) ◽  
pp. 845
Author(s):  
Marli Gonan Božac ◽  
Katarina Kostelić
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Strategic Planning ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Personal Perspective ◽  
Human Resource Managers ◽  
Organizational Perspective ◽  
Hr Managers ◽  
Experienced Emotion

The inclusion of emotions in the strategic decision-making research is long overdue. This paper deals with the emotions that human resource managers experience when they participate in a strategic problem-solving event or a strategic planning event. We examine the patterns in the intensity of experienced emotions with regard to event appraisal (from a personal perspective and the organization’s perspective), job satisfaction, and coexistence of emotions. The results reveal that enthusiasm is the most intensely experienced emotion for positively appraised strategic decision-making events, while frustration is the most intensely experienced emotion for negatively appraised problem-solving events, as is disappointment for strategic planning. The distinction between a personal and organizational perspective of the event appraisal reveals differences in experienced emotions, and the intensity of experienced anger is the best indicator of the difference in the event appraisals from the personal and organizational perspective. Both events reveal the variety of involved emotions and the coexistence of—not just various emotions, but also emotions of different dominant valence. The findings indicate that a strategic problem-solving event triggers greater emotional turmoil than a strategic planning event. The paper also discusses theoretical and practical implications.

scholarly journals Analysis of Customers’ Reactions to E-Commerce Companies Using Instagram Data

Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 12
Author(s):  
Ekin Akkol
Keyword(s):  
Decision Making ◽  
Web Application ◽  
Customer Relations ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Stock Management ◽  
Decision Making Processes

The aim of this study is to develop a web application that supports decision-making processes on subjects—such as customer relations management, marketing, and stock management—with data such as posts, comments, and likes from Instagram to four e-commerce companies. In this context, the data obtained from the Instagram accounts of e-commerce companies were recorded in a database after the pre-processing and classification stages. A web application has been developed that can support managers in their decision-making processes at operational, tactical, and strategic decision-making levels by visualizing the data recorded in the database.

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