scholarly journals Stratejik Grup Üyeliği ile Performans İlişkisi: Bankacılık Sektöründe Bir Araştırma1 (Strategic Group Membership and Performance Relationship: A Research in the Banking Industry)

2020 ◽  
Vol 12 (1) ◽  
pp. 866-887
Author(s):  
Pelin Erden Çevik ◽  
Dursun Bilgöl
Keyword(s):  
Group Membership ◽  
Banking Industry ◽  
Strategic Group ◽  
And Performance

Performance Variations Among Strategic Group Members: An Examination of Individual Firm Capability

1989 ◽  
Vol 15 (4) ◽  
pp. 649-661 ◽  
Author(s):  
Michael W. Lawless ◽  
Donald D. Bergh ◽  
William D. Wilsted
Keyword(s):  
Explanatory Power ◽  
Group Analysis ◽  
Performance Model ◽  
Strategic Groups ◽  
Strategic Group ◽  
Common Strategy ◽  
Firm Capability ◽  
Group Members ◽  
And Performance ◽  
Performance Variations

Because of inconsistent empirical evidence, the membership-performance model pervasive in strategic group analysis is re-examined. We propose that individualfirm capabilities, which reflect capacity to implement or change strategy, moderate the effect of members' shared strategy characteristics on performance. Controlling for market structure, we defined two strategic groups based on common strategy characteristics among 55 manufacturing firms. We found significant differences in performance and capabilities within each group. There was also evidence of a significant correlation between capabilities and performance within each group. We conclude that effects offirms' capabilities should be accountedfor to increase the explanatory power of strategic groups in competitive performance.

An fNIRS examination of executive function in bilingual young children

2020 ◽  
pp. 136700692095288
Author(s):  
Sha Xie ◽  
Dandan Wu ◽  
Jinfeng Yang ◽  
Jiutong Luo ◽  
Chunqi Chang ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Executive Function ◽  
Group Membership ◽  
Brain Activity ◽  
Bilingual Children ◽  
Behavioral Performance ◽  
Immersion Program ◽  
Prefrontal Region ◽  
And Performance ◽  
The Relationship

Aims: The present study aims to examine: (1) the relationship between young children’s bilingualism and their performance in the Dimensional Card Change Sort (DCCS) task; and (2) whether prefrontal activation was associated with children’s bilingualism and executive function. Methodology: Children performed three sessions of the DCCS and their brain activity during the task was measured using functional nearinfrared spectroscopy (fNIRS). Data and analysis: A sample of bilingual children ( N = 49) was recruited from a preschool with an English immersion program. We examined whether children’s performance in the DCCS was related to their bilingualism and whether the changes in oxygenated hemoglobin in the prefrontal regions were related to their bilingualism and performance in the DCCS. Findings/conclusions: Results showed that children’s English ability was significantly correlated with their behavioral performance in DCCS, and predicted children’s group membership (pass or perseverate). Furthermore, children in the pass group significantly activated the prefrontal cortex than those in the perseverate group, and activation in the prefrontal region was significantly correlated with children’s English ability. Originality: The current study first examined the effect of children’s bilingualism on their executive function and prefrontal activation.

scholarly journals Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Peter Appiahene ◽  
Yaw Marfo Missah ◽  
Ussiph Najim
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Decision Tree ◽  
Banking Sector ◽  
Banking Industry ◽  
Predictive Accuracy ◽  
Learning Algorithm ◽  
Machine Learning Algorithms ◽  
Machine Learning Algorithm ◽  
And Performance

The financial crisis that hit Ghana from 2015 to 2018 has raised various issues with respect to the efficiency of banks and the safety of depositors’ in the banking industry. As part of measures to improve the banking sector and also restore customers’ confidence, efficiency and performance analysis in the banking industry has become a hot issue. This is because stakeholders have to detect the underlying causes of inefficiencies within the banking industry. Nonparametric methods such as Data Envelopment Analysis (DEA) have been suggested in the literature as a good measure of banks’ efficiency and performance. Machine learning algorithms have also been viewed as a good tool to estimate various nonparametric and nonlinear problems. This paper presents a combined DEA with three machine learning approaches in evaluating bank efficiency and performance using 444 Ghanaian bank branches, Decision Making Units (DMUs). The results were compared with the corresponding efficiency ratings obtained from the DEA. Finally, the prediction accuracies of the three machine learning algorithm models were compared. The results suggested that the decision tree (DT) and its C5.0 algorithm provided the best predictive model. It had 100% accuracy in predicting the 134 holdout sample dataset (30% banks) and a P value of 0.00. The DT was followed closely by random forest algorithm with a predictive accuracy of 98.5% and a P value of 0.00 and finally the neural network (86.6% accuracy) with a P value 0.66. The study concluded that banks in Ghana can use the result of this study to predict their respective efficiencies. All experiments were performed within a simulation environment and conducted in R studio using R codes.

scholarly journals Strategic capabilities, competitive strategy, and performance among retailers in Argentina, Peru and the United States

2011 ◽  
Vol 49 (1) ◽  
pp. 139-155 ◽  
Author(s):  
John A. Parnell
Keyword(s):  
Competitive Strategy ◽  
The United States ◽  
Retail Trade ◽  
Superior Performance ◽  
Business Strategies ◽  
Strategic Group ◽  
Content Type ◽  
The Usa ◽  
Strategic Capabilities ◽  
And Performance

PurposeThis paper aims to assess the influence of strategic capabilities on the business strategy‐performance relationship among retail businesses in Argentina, Peru, and the USA.Design/methodology/approachZahra and Covin's self‐reported scale was amended and utilized to categorize businesses along Porter's typology. Strategic capability scales were adopted from DeSarbo and associates. Self‐reporting scales to assess relative competitive and objective performance in the present study were adopted from Ramanujam and Venkatraman. A survey containing these scales was administered to 277 attendees at a retail trade show in the USA. The survey – translated into Spanish – was distributed by mail and completed by 136 retailers in Peru and 163 retailers in Argentina.FindingsLinks were assessed among strategic capabilities, generic business strategies, and performance in retail businesses in Argentina, Peru and the USA. Support was found for links between the focus strategy and both marketing and linking capabilities, between the differentiation strategy and technology capabilities, and between the cost leadership strategy and management capabilities. The low cost‐differentiation combination strategy was associated with high performance in strategic groups whose businesses possess strong management and technology capabilities. These findings highlight the importance of developing strategy‐specific capabilities as a foundation for superior performance.Research limitations/implicationsThis study relied on self‐reported assessments of competitive strategy, organizational capabilities, and performance. It utilized cluster analysis, assessed only retailers, and considered only three nations.Originality/valueExtant strategic group research highlights the link between group membership and firm performance. The present study reinforces previous research. In addition, the presence of organization‐specific strategic capabilities helps to explain why some businesses outperform others in the same strategic group.

scholarly journals Determinants of Bank Profitability

2021 ◽  
Vol 9 (2) ◽  
pp. 1-14
Author(s):  
Yasmeen Sultan ◽  
Keyword(s):  
Research Study ◽  
Banking Industry ◽  
External Factors ◽  
Adverse Impact ◽  
Financial Intermediaries ◽  
Internal Factors ◽  
Bank Profitability ◽  
Factors Affecting ◽  
Price Increases ◽  
And Performance

Banks are the most vital financial intermediaries in economy, which has a profitable banking industry; in order to survive undesirable shock as well as subsidize the constancy under the whole economy. However, the main purpose of this research is in the direction of analyzing factors affecting banks’ effectiveness all over Pakistan by means of sets of targeted facts and figures of twenty panels from 2005 to 2015. This study is developed with the help of AOLS technique which is used to examine the effect of different factors such as resources, debts, justice, securities, economic growth, price increases, price decreases, and market capitalization on major profitability signs such as (ROA), (ROE), (ROCE) and (NIM). The experimental consequences analyzed solid facts which stated the following conclusion, i.e., internal factors and external factors create an adverse impact on the level of profitability. An outcome by this research is important to different researchers. This research study proposed that by the concentration & reengineering the internal drivers the banks can improve its profitability and performance.

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