Behavioral Patterns
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2021 ◽  
Author(s):  
Bernadeta Lelonek-Kuleta ◽  
Rafał Piotr Bartczuk

Aims The aim of the study was to identify psychological determinants of particular patterns of playing P2W games (including problem gaming): coping strategies and motivation to play.MethodsThe article presents the results of the study conducted among online Pay to Win (P2W) gamers (n = 868), defined as those who have declared to make payments in online games in order to gain an advantage over gamers who refuse to pay. ResultsThe two patterns of problem gaming differed in their predictors; the pattern of larger contributions is associated with self-enhancement motivation, and the pattern of small frequent contributions is associated with social motivation and escape from problems.ConclusionsThe social factor proved to be the differentiator between the most distinct types of players. In this context, the question can be raised whether players who pay only for the aesthetic aspects of the game (and not for progress) should be excluded from P2W players. The mechanisms involved in these players may be similar, and if different, they would be worthwhile to analyze. Perhaps for some players P2W games are not strictly speaking “pay to win” but rather “pay to win admiration” games.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
George C. Joseph ◽  
Nimitha Aboobaker ◽  
Zakkariya K.A.

Purpose This study aims to explore the behavioral patterns of entrepreneurs, their cognitive styles and personality characteristics that can lead to a self-destructive chain of events during the transition from a fledgling business to one capable of long-term, profitable growth. This study adopts the self-regulation attitude theory to uncover the reasons for premature start-up scaling, which will help founders to study on their cognitive biases, emotions and behaviors and make efforts to do what does not come naturally to them. Design/methodology/approach The respondents for this qualitative study were selected from a group of entrepreneurs with extensive experience with technology start-ups that have either failed or succeeded during their development stages. In-depth semi-structured interviews were conducted with eight participants, who were selected through snowball sampling, on the theme of understanding “How do premature scaling mistakes happen?”. Thematic analysis was used to unearth common themes. Findings The results of this study identified the following themes, “comparison,” “emotional over-reaction,” “impatience,” “mistaken customer priorities,” “overestimation” and “overconfidence,” which eventually leads to premature scaling. The underlying decision-making heuristics of entrepreneurs can be identified as engulfed in different cognitive biases and emotions resulting in negative behavioral patterns, as in the case of premature scaling. Of the six themes, “comparison,” “mistaken customer priorities,” “overestimation” and “overconfidence relates to cognitive bias” and “emotional over-reaction” and “impatience” relate to emotional factors. Research limitations/implications The study was made possible with the support of the voluntary participants chosen by purposive and snowballing data sampling. The interviewee and interviewer biases could have also crept in as part of this qualitative approach. The study pertains only to start-ups in the information technology sector and further studies need to be done to generalize the results across industries as well. Practical implications This early-stage underestimation of unexpected obstacles in the entrepreneurship journey necessitates a focus on the entrepreneur too, as much as the concept. In these hectic and fast-paced circumstances, aspiring entrepreneurs must be taught how to deal objectively with themselves and others, as well as think strategically. Leaders who scale do so because they take purposeful measures to overcome their weaknesses through self-discipline, soliciting advice from others and using their right to change their attitude and points of view. Originality/value The study frames the new approach into the entrepreneurial literature, linking it to self-regulation attitude theory and adds to the nascent literature on neuroentrepreneurship which discuss entrepreneurial cognition, decision-making, and entrepreneurial behavior. This study attempted to explore the reasons behind the premature scaling of startups on an individual level. This study is pioneering in exploring the cognitive factors underlying an entrepreneur’s decision that results in premature scaling. This study provides insights for academicians, entrepreneurs and policymakers and helps understand the cognitive journey that leads to premature scaling.


2021 ◽  
Vol 6 (3) ◽  
pp. 10-28
Author(s):  
Denis A. Lyapin ◽  
Yuri A. Mizis

The article discusses the process of formation of the main behavioral patterns of the population of the southern counties during the period of the settlement in and development of the South of Russia in the 17th century. The authors analyze the behavior of migrants to the steppe periphery of the country, on the basis of large archival source. An important place in the development of steppe territories was occupied by fortresses, which were military, political and religious centers for the counties. The strong influence of collectivist principles is noted in the article. Particular attention is paid to studying the dynamics of changes in the social environment in the South of Russia, the formation of property stratification, the emergence of individualism. It is argued in the paper that social changes were associated with shifts in the behavioral models of the inhabitants of the fortresses: if at the early stage of its existence the population of the towns consisted of a single mass of the servicemen, then the second half of the 17th century is characterized by a gradual destruction of social cohesion. The behavioral models of servants and townspeople were determined by the desire for personal gain, material wealth, and individual benefits. This was due to the increase in the number and importance of townspeople, whose lives were a constant competition. Discovered shifts of behavioral patterns are indicative of important changes in society.


2021 ◽  
Vol 4 (3) ◽  
pp. 93-98
Author(s):  
I Putu Ayub Darmawan ◽  
Nasokhili Giawa ◽  
Katarina Katarina ◽  
Sabda Budiman

The ongoing COVID-19 pandemic has caused countless impacts and influences on human life. It disturbs the order of life and macro and micro-economics, drastically and radically changes human cultural and behavioral patterns, and greatly impacts the concepts of church theology, pastoring, and ministry. This study is a descriptive qualitative study on the COVID-19 and normal & abnormal reactions & responses to it. Through this article, the authors observed that the COVID-19 existence has transformed and recorrected the Christian paradigm on 1) ecclesiology, which to date exclusively based on building to the real Church, namely God’s people in the form of house/“tent” churches; 2) digital media utilization in this Society 5.0 era as God’s grace to all humanity. Findings and changes in society through renewable technology are an inseparable part of the pandemic. A dichotomic gap of understanding between science and technology for centuries should be reformulated. New technological inventions and social media created by humans are media in the hands of God that should be utilized by the Church to minister in various categories to improve the quality of ministry and service; and 3) creative and innovative interpretation of threefold responsibilities of the Church: koinonia, diakonia, and martyria.


10.1676/19-14 ◽  
2021 ◽  
Vol 132 (4) ◽  
Author(s):  
Norma A. Camacho-García ◽  
Pablo Corcuera ◽  
Carlos Lara ◽  
Isaías Hazarmabeth Salgado Ugarte ◽  
María De La Asunción Soto

2021 ◽  
Vol 132 (4) ◽  
Author(s):  
Norma A. Camacho-García ◽  
Pablo Corcuera ◽  
Carlos Lara ◽  
Isaías Hazarmabeth Salgado Ugarte ◽  
María De La Asunción Soto

Animals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 2660
Author(s):  
Lara Schmeling ◽  
Golnaz Elmamooz ◽  
Phan Thai Hoang ◽  
Anastasiia Kozar ◽  
Daniela Nicklas ◽  
...  

Monitoring systems assist farmers in monitoring the health of dairy cows by predicting behavioral patterns (e.g., lying) and their changes with machine learning models. However, the available systems were developed either for indoors or for pasture and fail to predict the behavior in other locations. Therefore, the goal of our study was to train and evaluate a model for the prediction of lying on a pasture and in the barn. On three farms, 7–11 dairy cows each were equipped with the prototype of the monitoring system containing an accelerometer, a magnetometer and a gyroscope. Video observations on the pasture and in the barn provided ground truth data. We used 34.5 h of datasets from pasture for training and 480.5 h from both locations for evaluating. In comparison, random forest, an orientation-independent feature set with 5 s windows without overlap, achieved the highest accuracy. Sensitivity, specificity and accuracy were 95.6%, 80.5% and 87.4%, respectively. Accuracy on the pasture (93.2%) exceeded accuracy in the barn (81.4%). Ruminating while standing was the most confused with lying. Out of individual lying bouts, 95.6 and 93.4% were identified on the pasture and in the barn, respectively. Adding a model for standing up events and lying down events could improve the prediction of lying in the barn.


Author(s):  
Bin Xu ◽  
Chuanming Ge ◽  
Wei Zhao ◽  
Jianhua Cao ◽  
Ruilin Pan

Point-of-Interest recommendation is an efficient way to explore interesting unknown locations in social media mining of social networks. In order to solve the problem of sparse data and inaccuracy of single user model, we propose a User-City-Sequence Probabilistic Generation Model (UCSPGM) integrating a collective individual self-adaptive Markov model and the topic model. The collective individual self-adaptive Markov model consists of three parts such as the collective Markov model, the individual self-adaptive Markov model and the self-adaptive rank method. The former determines the topic sequence for all users in system and mines the behavioral patterns of users in a large environment. The later mines behavioral patterns for each user in a small environment. The last determines a self-adaptive-rank for each user in niche. We conduct a large amount of experiments to verify the effectiveness and efficiency of our method.


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