Learning throughout the innovation journey: a new dimension to learning as a search process

2021 ◽  
Vol 7 (2) ◽  
pp. 86
Author(s):  
Gitte Miller Balslev
Keyword(s):  
Search Process

Items Searching in Factory Warehouse Using Arduino Module

2019 ◽  
Vol 1 (1) ◽  
pp. 1-14
Author(s):  
Tan Liong Ching ◽  
Nureize Binti Arbaiy
Keyword(s):  
Inventory Management ◽  
Liquid Crystal Display ◽  
Light Emitting Diode ◽  
Storage System ◽  
Voice Recognition ◽  
Inventory System ◽  
Search Process ◽  
Light Emitting ◽  
Recognition Function ◽  
Light Function

The smart store system (F3 Storage System) provides an inventory system function, and is supported by voice recognition for items searching purpose in the warehouse. This system is aimed to improve effectiveness in item searching process for the warehouse management. An inventory system structures is employed in this system to enable items management. Voice recognition facility helps the worker to search item in an effective way. Worker can use voice recognition function to search the item in the warehouse, and searched information of the item will be displayed in the liquid crystal display (LCD) screen. Meanwhile, the location of the item will be physically indicated by the light emitting diode (LED) light function. The developed system also contains a barcode system to enhance the process of scheduling warehouse activity. Such facilities will enhance the capabilities of existing inventory management systems in warehouses. Prototyping model is used to assist project development. Arduino technology is used to enable integrated hardware and software to read data or input. With Arduino technology, traditional search items by using text and search functionality are enhanced to allow speech functionality. This functionality makes the search process faster and more efficient.

Shuffle-Selective-Search Process for Mitigation of APTs with IKC

2019 ◽  
Author(s):  
Abdul Khadar A ◽  
Dr. Shrishail Math ◽  
H. Srinivasa Murthy
Keyword(s):  
Search Process ◽  
Selective Search

Toward a Nonidealist Evolutionary Synthesis

2017 ◽  
Author(s):  
Stuart A. Newman
Keyword(s):  
Evolutionary Theory ◽  
Raw Material ◽  
Evolutionary Synthesis ◽  
Living Systems ◽  
Evolution Of Development ◽  
Search Process ◽  
Physical Processes ◽  
Explanatory Framework ◽  
Material Systems ◽  
Modern Physics

The received model of evolution sees all inherited features resulting from deterministic networks of interacting genes, implying that living systems are reducible to information in genetic programs. The model requires these programs and their associated phenotypes to have evolved by an isotropic search process occurring in gradual steps with no preferred morphological outcomes. The alternative is to recognize that clusters and aggregates of cells, the raw material of evolution, constitute middle-scale material systems. This implies the necessity of bringing the modern physics of mesoscale matter into the explanatory framework for the evolution of development. The relevant, often nonlinear, physical processes were mobilized at the inception of the phyla when their signature morphological outcomes first appeared and remain as efficient causes, albeit transformed, in present-day embryos. This physicogenetic perspective reengages with concepts of saltation, orthogenesis, and environment-induced plasticity long excluded from evolutionary theory.

How Starting Strategy and Network Structure Shape Problemistic Search: An Examination of Venture Capital Firms

2021 ◽  
pp. 104225872110335
Author(s):  
Jake Duke ◽  
Taha Havakhor ◽  
Rachel Mui ◽  
Owen Parker
Keyword(s):  
Venture Capital ◽  
Network Structure ◽  
Theory Of The Firm ◽  
Behavioral Theory ◽  
Organizational Strategy ◽  
Search Process ◽  
Strategy Research ◽  
Structural Holes ◽  
Starting Point ◽  
Venture Capital Firms

Building on the behavioral theory of the firm, we empirically examine how starting strategies and syndication networks can influence venture capital (VC) firms’ problemistic search. We propose that: (a) depending on a VC’s strategic starting point, that is, the VC’s extent of specialization, the directionality of problemistic search may change to either expanding or contracting search activities; and (b) depending on search direction, structural holes in syndication networks can either impede or facilitate the problemistic search process. In a sample of U.S. VC firms, we find results consistent with our predictions, which have important implications for entrepreneurship and organizational strategy research.

scholarly journals Phase-Separated Transcriptional Condensates Accelerate Target-Search Process Revealed by Live-Cell Single-Molecule Imaging

Cell Reports ◽  
2020 ◽  
Vol 33 (2) ◽  
pp. 108248 ◽  
Author(s):  
Samantha Kent ◽  
Kyle Brown ◽  
Chou-hsun Yang ◽  
Njood Alsaihati ◽  
Christina Tian ◽  
...  
Keyword(s):  
Single Molecule ◽  
Live Cell ◽  
Search Process ◽  
Single Molecule Imaging ◽  
Target Search

scholarly journals Race and Networks in the Job Search Process

2019 ◽  
Vol 84 (6) ◽  
pp. 983-1012 ◽  
Author(s):  
David S. Pedulla ◽  
Devah Pager
Keyword(s):  
Social Networks ◽  
Labor Market ◽  
African Americans ◽  
Racial Disparities ◽  
Job Search ◽  
Search Process ◽  
Job Seekers ◽  
Employment Opportunities ◽  
Black And White ◽  
Job Offers

Racial disparities persist throughout the employment process, with African Americans experiencing significant barriers compared to whites. This article advances the understanding of racial labor market stratification by bringing new theoretical insights and original data to bear on the ways social networks shape racial disparities in employment opportunities. We develop and articulate two pathways through which networks may perpetuate racial inequality in the labor market: network access and network returns. In the first case, African American job seekers may receive fewer job leads through their social networks than white job seekers, limiting their access to employment opportunities. In the second case, black and white job seekers may utilize their social networks at similar rates, but their networks may differ in effectiveness. Our data, with detailed information about both job applications and job offers, provide the unique ability to adjudicate between these processes. We find evidence that black and white job seekers utilize their networks at similar rates, but network-based methods are less likely to lead to job offers for African Americans. We then theoretically develop and empirically test two mechanisms that may explain these differential returns: network placement and network mobilization. We conclude by discussing the implications of these findings for scholarship on racial stratification and social networks in the job search process.

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