Management Influence on Individual and Group Behavior in Business Organization

Diogenes ◽  
2019 ◽  
Vol 27 (2) ◽  
Author(s):  
Stanislava Stoyanova ◽  
Keyword(s):  
Human Behavior ◽  
Group Behavior ◽  
Individual Behavior ◽  
Business Organization ◽  
Responsible Behavior ◽  
Main Emphasis ◽  
Chief Factors ◽  
Management Techniques ◽  
Personal Behavior

In this academic article the main emphasis is the nature and specificity of human behavior in an organization. The chief factors that are influencing on an individual behavior are considered and analyzed, as well the useful management techniques for stimulation and limitation of individual and group behavior in the organization. The text presents all main views about the personal behavior‘ core, and highlights the varieties of responsible behavior of the employees as an integral part of the organization.

scholarly journals Discrete modes of social information processing predict individual behavior of fish in a group

2017 ◽  
Vol 114 (38) ◽  
pp. 10149-10154 ◽  
Author(s):  
Roy Harpaz ◽  
Gašper Tkačik ◽  
Elad Schneidman
Keyword(s):  
Social Interactions ◽  
Social Information Processing ◽  
Collective Behavior ◽  
Single Mode ◽  
Group Behavior ◽  
Neural Correlates ◽  
Individual Behavior ◽  
Group Level ◽  
Adult Zebrafish ◽  
Passive Mode

Individual computations and social interactions underlying collective behavior in groups of animals are of great ethological, behavioral, and theoretical interest. While complex individual behaviors have successfully been parsed into small dictionaries of stereotyped behavioral modes, studies of collective behavior largely ignored these findings; instead, their focus was on inferring single, mode-independent social interaction rules that reproduced macroscopic and often qualitative features of group behavior. Here, we bring these two approaches together to predict individual swimming patterns of adult zebrafish in a group. We show that fish alternate between an “active” mode, in which they are sensitive to the swimming patterns of conspecifics, and a “passive” mode, where they ignore them. Using a model that accounts for these two modes explicitly, we predict behaviors of individual fish with high accuracy, outperforming previous approaches that assumed a single continuous computation by individuals and simple metric or topological weighing of neighbors’ behavior. At the group level, switching between active and passive modes is uncorrelated among fish, but correlated directional swimming behavior still emerges. Our quantitative approach for studying complex, multimodal individual behavior jointly with emergent group behavior is readily extensible to additional behavioral modes and their neural correlates as well as to other species.

Sci-Fi Fandoms in the Digital Age

2022 ◽  
pp. 127-144
Author(s):  
Gabrielle T Loehr ◽  
Lee Shackleford ◽  
Karen Elizabeth Dill-Shackleford ◽  
Melody Metcalf
Keyword(s):  
Social Media ◽  
Life Cycle ◽  
Digital Age ◽  
Group Behavior ◽  
Individual Behavior ◽  
The Internet ◽  
Doctor Who ◽  
Online Groups ◽  
Star Wars ◽  
Fan Behavior

This chapter discusses the evolution of the Doctor Who, Star Wars, and Star Trek fandoms from their beginnings to their current releases. These brief histories highlight how fans communicated with each other before social media and how those communications changed with the advent of the internet and social media. The dynamics of online groups, individual behavior in online groups, and the life cycle of a group are all discussed before moving onto trolling and the spectrum of online incivility. Overall, most of the trolling that occurs in sci-fi fandoms comes from devotion to the franchise rather than from the desire to be divisive or negative. However, some online incivility is solely guided by sexism, racism, and the desire to sow social discord. Two examples of sexist and racist fan behavior from Star Wars: The Last Jedi illustrates the different motivations of fandom trolls as well as ways to respond. Although every fandom is different, group behavior is predictable thus insights from these iconic sci-fi fandoms can be applied to many different fandoms.

Analysis and Simulation of Group Behavior Using a Dynamic Sphere of Influence

2005 ◽  
Vol 9 (2) ◽  
pp. 159-165 ◽  
Author(s):  
Tsuyoshi Taki ◽  
◽  
Junichi Hasegawa
Keyword(s):  
Human Behavior ◽  
Basic Concept ◽  
Personal Space ◽  
Group Behavior ◽  
Crowd Simulation ◽  
Behavior Model ◽  
Spatial Feature ◽  
Sphere Of Influence

To evaluate or predict human behavior, extraction of characteristic patterns from actual crowd scenes and crowd simulation in different situations based on general human behavior model are needed. We use changes in a spatial feature formed by individual movement called a "dominant region", a type of dynamic personal space. In the paper, a basic concept and calculation of the dominant region and its applications are presented. Experiments show that the proposed feature is useful in evaluating and simulating human behavior.

scholarly journals JULO-JULO TANI BURUH PEREMPUAN JORONG PATAMUAN, NAGARI TALU KECAMATAN TALAMU KAB. PASAMAN BARAT

2013 ◽  
Vol 2 (1) ◽  
pp. 8-14
Author(s):  
Sri Wahyuni ◽  
Zusmelia Zusmelia ◽  
Delmira Syafrini
Keyword(s):  
Economic Impact ◽  
Human Behavior ◽  
Social Economic ◽  
Public Life ◽  
Causative Factor ◽  
Qualitative Approach ◽  
Individual Behavior ◽  
Economic Conditions

This resereach explain about of julo- julo tani of women peasant life in Jorong Patamuan, they works to help her families economic. This research aims to see Julo Julo cause of the peasantry in public life and   social economic impact of  Julo Julo tani women  peasent  worker in Jorong Patomuan Nagari Talu Talamau of Pasaman Barat. This study used a qualitative approach with methods such as observation and interviews. Informants in this study more or less 16 peoples. Results were analyzed using the theory of George Homans, who showing human behavior as individual behavior, where people are exchanging rewards or punishment. Based on the results of this study concluded causative factor the rise of  julo-julo in women peasent  life in Jorong Patamuan such as 1), Economic conditions 2), less of the capital 3), Solidarity relations people who are less well 4), to Supporting the community's economy. So with Julo Julo tani due to their desire to make a group, to help difficulties of life, and to improve solidarity of them.Julo-julo tani dalam kehidupan buruh tani perempuan Jorong Patomuan, yang bekerja untuk meringankan pemenuhan kebutuhan ekonomi keluarga. Peneitian ini bertujuan untuk melihat fakotor penyebab munculnya julo-julo tani dalam kehidupan masyarakat buruh tani perempuan dan dampak julo-julo tani terhadap kehidupan sosial dan ekonomi masyarakat buruh tani perempuan Jorong Patomuan Nagari Talu Kecamatan Talamau Kabupaten Pasaman Barat. Penelitian ini menggunakan pendekatan kualitatif dengan  metode yaitu observasi dan wawancara. Jumlah informan 16 orang. Hasil penelitian dianalisis menggunakan teori George Homans yang memperlihatkan perilaku manusia sebagai perilaku individu, tempat orang-orang yang saling bertukar ganjaran atau hadiah. Berdasarkan hasil penelitian dapat disimpulkan bahwa faktor penyebab munculnya julo-julo dalam kehidupan buruh tani perempuan di Jorong Patomuan adalah 1). Keadan Ekonomi, 2). Kurangnya Modal, 3). Hubungan Solidaritas masyarakat yang kurang baik, 4). Penunjang perekonomian masyarakat. Sehingga dengan julo-julo tani disebabkan dengan adanya keinginan untuk membentuk kelompok atau (group) yang dpat mengatasi kesulitan mereka dalam kehidupan sehari-hari. Sekaligus meningkatkan kembali solidaritas mereka.

scholarly journals Knowing Behavior Matters Doesn’t Hurt: The Effect of Individual Climate Behavior Messaging on Green Policy Support

2020 ◽  
Author(s):  
Abdurakhim Rakhimov ◽  
Erik Thulin
Keyword(s):  
Climate Change ◽  
Behavior Change ◽  
Climate Policy ◽  
Carbon Tax ◽  
Individual Behavior ◽  
Policy Support ◽  
Large Impact ◽  
Mitigation Potential ◽  
Green Policy ◽  
Personal Behavior

Promoting individual behavior change has been criticized as a strategy for addressing climate change due to its potential to diminish climate policy support. In a pre-registered study, we find that messages recommending the adoption of individual climate behaviors and highlighting their large impact do not affect support for a carbon tax. Programs that encourage personal behavior change with substantial mitigation potential offer complementary opportunities to policy without undermining its effectiveness.

Comparison of Algorithms of Individual and Group Behavior

2021 ◽  
Vol 8 (2) ◽  
pp. 487-510
Author(s):  
Igor Kopsov
Keyword(s):  
Comparative Analysis ◽  
Group Behavior ◽  
Human Mind ◽  
Social Processes ◽  
Individual Behavior ◽  
Generic Algorithm ◽  
Feedback Mechanisms ◽  
Unified Algorithm ◽  
The Mind ◽  
Application Specific

It has been suggested that the functionality of matter, life, and mind can be described by algorithms containing a sequence of steps and feedback mechanisms. Social processes were until now not considered. Consequently, we examine algorithms of behavior of groups of various kinds, identify their common parameters, and undertake a comparative analysis to the algorithm of individual behavior. We conclude, that despite some application-specific differences, groups operate in accordance with a unified algorithm and, furthermore, this algorithm is the same as the generic algorithm of individual behavior. We demonstrate that in the generally perceived progression matter-life-mind-culture/society, the latter transition cannot be validated. Homogeneity of algorithms of individual and group behavior leads to the proposition that the human mind/psyche and social processes belong to the same level of complexity of nature. This challenges the commonly held perception that society/culture is a standalone perspective of reality separate from the mind.

Sci-Fi Fandoms in the Digital Age

2020 ◽  
pp. 305-322
Author(s):  
Gabrielle T Loehr ◽  
Lee Shackleford ◽  
Karen Elizabeth Dill-Shackleford ◽  
Melody Metcalf
Keyword(s):  
Social Media ◽  
Life Cycle ◽  
Digital Age ◽  
Group Behavior ◽  
Individual Behavior ◽  
The Internet ◽  
Doctor Who ◽  
Online Groups ◽  
Star Wars ◽  
Fan Behavior

This chapter discusses the evolution of the Doctor Who, Star Wars, and Star Trek fandoms from their beginnings to their current releases. These brief histories highlight how fans communicated with each other before social media and how those communications changed with the advent of the internet and social media. The dynamics of online groups, individual behavior in online groups, and the life cycle of a group are all discussed before moving onto trolling and the spectrum of online incivility. Overall, most of the trolling that occurs in sci-fi fandoms comes from devotion to the franchise rather than from the desire to be divisive or negative. However, some online incivility is solely guided by sexism, racism, and the desire to sow social discord. Two examples of sexist and racist fan behavior from Star Wars: The Last Jedi illustrates the different motivations of fandom trolls as well as ways to respond. Although every fandom is different, group behavior is predictable thus insights from these iconic sci-fi fandoms can be applied to many different fandoms.

Dynamic Models of Competition between Transportation Modes

1979 ◽  
Vol 11 (6) ◽  
pp. 665-673 ◽  
Author(s):  
J L Deneubourg ◽  
A de Palma ◽  
D Kahn
Keyword(s):  
Time Evolution ◽  
Human Behavior ◽  
Dynamic Models ◽  
Individual Behavior ◽  
Dynamic Approach ◽  
Transportation Mode ◽  
Evolutionary Path ◽  
Travel Choice ◽  
Transportation Modes ◽  
Transportation Mode Choice

We present a methodology to study the choice of transportation mode. It is dynamic and allows inherent fluctuations in individual behavior to play a role. The methodology has a deterministic aspect which yields the time evolution of the number of users for a transportation mode and it is based on certain assumptions about the attractivities of each mode, but it is always subject to fluctuations in human behavior. The problem then is to find the solutions of the deterministic equations describing the system and to examine the evolutionary path the system will take. Two models of competition between transportation-mode choice are developed to illustrate the methodology and to justify the dynamic approach to travel choice.

AN AUTOMATIC SEMANTIC MAP GENERATION METHOD USING TRAJECTORY DATA

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 63-67
Author(s):  
Y. Miao ◽  
X. Tang ◽  
Z. Wang
Keyword(s):  
Human Behavior ◽  
Behavior Pattern ◽  
Rapid Development ◽  
Group Behavior ◽  
Trajectory Data ◽  
Geometric Information ◽  
Semantic Map ◽  
Map Generation ◽  
Terrain Features ◽  
Unknown Region

Abstract. It’s easily to obtain the geometric information of terrain features in a timely manner using advanced surveying and mapping methods, but it is impossible to obtain their semantic information with low latency due to the rapid development of cities. The popularity of GPS-enabled devices and technologies provide us a large number of personal location information. Moreover, it is possible to extract the personal or group behavior pattern due to the regularity of human behavior. Those conditions make it possible to extract and identify human behavior patterns from their trajectory data. In this paper, we present an automatic semantic map generation method that extract semantic patterns and take advantage of them to tagging spatial objects in an unknown region based on known semantic patterns. We study the regularity of trajectory data and build the semantic pattern based on the regularity of human behavior. Most importantly, we use known semantic patterns to identify the semantics of the stay points in the unknown region, and use this method to realize the semantic recognition of the stay points. Results of the experiments show the effectiveness of our proposed method.

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