Two four-quadrant electronic multipliers

1963 ◽  
Vol 25 (1) ◽  
pp. 5
Author(s):  
A. Kraicer
Keyword(s):  
Four Quadrant

Discovering a Rosetta Stone for Firm-Side Authenticity: An Empirical Investigation

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Ian Parkman ◽  
Samuel Holloway
Keyword(s):  
Competitive Advantage ◽  
Empirical Investigation ◽  
Identity Management ◽  
Academic Research ◽  
Corporate Identity ◽  
Organizational Contexts ◽  
Rosetta Stone ◽  
Innovation Capacity ◽  
Resources And Capabilities ◽  
Four Quadrant

While most academic research has considered authenticity from the consumers perspective, this paper proposes and tests a new empirical operationalization of Beverlands (2005) widely cited proposition that firm-side authenticity is…partly true and partly rhetorical (p.1008). Our study presents a model based on the Competitive Advantage (CA) that results from congruence between the partly true aspects of the firms internal culture, resources, and capabilities measured as Innovation Capacity (IC), alongside Corporate Identity Management (CIM) as the organizations partly rhetorical outwardly-directed corporate branding and marketing promotions activities. Our findings are interpreted through a four-quadrant Rosetta Stone framework for evaluating firm-side authenticity across organizational contexts and environments describing how high-IC/high-CIM (i.e., Authentic) firms create differentiation from low-IC/low-CIM Inauthentic organizations and low-IC/high-CIM Faux Imitators competitors who attempt to compensate for their lack of IC through increased investments in CIM.

SAFER model: Strategic allocation of fundamental epidemic resources

2020 ◽  
Author(s):  
B W Weston ◽  
Z N Swingen ◽  
S Gramann ◽  
D Pojar
Keyword(s):  
Resource Allocation ◽  
Real Time ◽  
Community Based ◽  
Broad Distribution ◽  
Census Tracts ◽  
Milwaukee County ◽  
Strategic Allocation ◽  
Four Quadrant ◽  
Time Resource ◽  
Critical Resources

Abstract Background To describe the Strategic Allocation of Fundamental Epidemic Resources (SAFER) model as a method to inform equitable community distribution of critical resources and testing infrastructure. Methods The SAFER model incorporates a four-quadrant design to categorize a given community based on two scales: testing rate and positivity rate. Three models for stratifying testing rates and positivity rates were applied to census tracts in Milwaukee County, Wisconsin: using median values (MVs), cluster-based classification and goal-oriented values (GVs). Results Each of the three approaches had its strengths. MV stratification divided the categories most evenly across geography, aiding in assessing resource distribution in a fixed resource and testing capacity environment. The cluster-based stratification resulted in a less broad distribution but likely provides a truer distribution of communities. The GVs grouping displayed the least variation across communities, yet best highlighted our areas of need. Conclusions The SAFER model allowed the distribution of census tracts into categories to aid in informing resource and testing allocation. The MV stratification was found to be of most utility in our community for near real time resource allocation based on even distribution of census tracts. The GVs approach was found to better demonstrate areas of need.

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