scholarly journals Konsep Contingency serta Peranan Moderating dan Mediating Variable dalam FP

2020 ◽  
Author(s):  
Arvin Winatha

Contingency Theory merupakan teori yang mengadopsi pendekatan kontingensi untuk memahami dampak Strategic Orientation (SO) terhadap performa perusahaan dalam konteks Turbulensi Teknologi (TT) yang dinamis. Mendefiniskan Teknologi sebagai Variabel Moderasi menawarkan konsep teknologi yang holistik bagi nilai bisnis. Kemampuan teknologi meningkatkan harapan perusahaan untuk mencapai kinerja yang lebih baik. Turbulensi Teknologi (TT) berfungsi sebagai faktor kontingensi primer atau Independen yang difokuskan pada SO sebagai determinan utama FP.Pandangan tradisional menunjukkan bahwa resiko tinggi berpotensi menawarkan hasil yang tinggi dengan memperkenalkan Turbulensi teknologi informasi sebagai variable moderasi dan juga Risk Taking Behavior sebagai variable Independent. Mediating effect disini diartikan sebagai efek yang dihasilkan dari adanya Variabel mediator yang saling menghubungkan Independent variable dan Dependent Variabel. Tujuan Variabel mediator adalah menjelaskan hubungan antara IV dan DV. Variabel Mediator merupakan variable perantara atau penengah antara Independent variable (IV) dengan Dependent variable (DV) hal ini diperlukan sehingga antar variable bisa bekerja secara baik atau mediating effect dikatakan sukses

2020 ◽  
Author(s):  
Arvin Winatha

Contingency Theory merupakan teori yang mengadopsi pendekatan kontingensi untuk memahami dampak Strategic Orientation (SO) terhadap performa perusahaan dalam konteks Turbulensi Teknologi (TT) yang dinamis. Mendefiniskan Teknologi sebagai Variabel Moderasi menawarkan konsep teknologi yang holistik bagi nilai bisnis. Kemampuan teknologi meningkatkan harapan perusahaan untuk mencapai kinerja yang lebih baik. 4 variabel latent yang dapat digunakan untuk mengukur tingkat pengelolaan resiko yang terdiri dari risk taking behavior, firm performance, pricing capability, dan information technological turbulence. Mediating effect disini diartikan sebagai efek yang dihasilkan dari adanya Variabel mediator yang saling menghubungkan Independent variable dan Dependent Variabel. Tujuan Variabel mediator adalah menjelaskan hubungan antara IV dan DV. Variabel Mediator merupakan variable perantara atau penengah antara Independent variable (IV) dengan Dependent variable (DV) hal ini diperlukan sehingga antar variable bisa bekerja secara baik atau mediating effect dikatakan sukses.


2019 ◽  
Vol 14 (1) ◽  
pp. 70-92
Author(s):  
Angela Keyzers ◽  
Lindsey Weiler ◽  
Shelley Haddock ◽  
Jennifer Doty

Close parent–child relationships are protective against the development of delinquent behavior. By creating a context for open communication and trust, parents positively influence adolescent development. The current study examined the associations among attachment quality, family problem- solving, and adolescent risk-taking behavior, as well as the mediating effect of family problem-solving on the relationship between attachment quality and adolescent risk-taking behavior. Participants included 520 adolescents (ages 10 to 19, M = 14.24) and their parents or guardians (N = 520). Two path analyses were conducted to test study hypotheses. As predicted, attachment quality was negatively associated with parent and adolescent perceptions of adolescent risk-taking behavior and positively related to family problem-solving ability, after controlling for age, gender, and race/ethnicity. Contrary to our hypothesis, family problem-solving ability did not mediate the effect of attachment quality on parent or youth perceptions of adolescent risk-taking behavior. Preventive interventions that encourage warm, supportive bonds between parents and youth may aid families in deterring youth from negative risk-taking behavior. Further research should examine other family-level factors that might influence adolescent risk-taking via direct and indirect pathways.


2018 ◽  
Vol 19 (4) ◽  
pp. 361-378 ◽  
Author(s):  
Aluisius Hery Pratono

Purpose This paper aims to contribute to the risk management studies in small and medium enterprises (SMEs) by examining the complicated relationship between risk-taking behavior and firm performance. Design/methodology/approach The study conducted a survey of the Indonesian SME owner-managers and used partial least square structural equation modeling to examine the mediating effect of pricing capability and moderating effects of information technological turbulence. Findings The results do not only confirm the positive impact of risk-taking behavior on firm performance but also identify that impact of risk-taking behavior on firm performance is more effective at the low information technological turbulence than at the high one. Research limitations/implications This study relied on information from the owner-managers in SMEs, which may bias against the perspective of their employees and the business partners. Originality/value This study advances the risk-taking behavior research in SMEs context by introducing the effect of pricing capability and information technological turbulence.


Author(s):  
Thomas Plieger ◽  
Thomas Grünhage ◽  
Éilish Duke ◽  
Martin Reuter

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.


2014 ◽  
Author(s):  
Ari B. Deutsch ◽  
Michael Koren ◽  
Rachel Moody

2012 ◽  
Author(s):  
K. Bryant Smalley ◽  
Jacob C. Warren ◽  
Lisa Watson-Johnson ◽  
Nikki Barefoot ◽  
Sean Fowler

2010 ◽  
Author(s):  
Stacy Simonsen ◽  
Krista Fritson ◽  
Katharine A. Mcintyre ◽  
Shawna Mowrer

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