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Islamic financial institutions performance pre- and post-global financial crisis 2007/2008: empirical insights from Gulf Cooperation Council 2007/2008年全球金融危机前后伊斯兰金融机构的表现:来自海湾合作委员会的实证见解
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/IJBSR.2022.10036153
M. Alnahhal, Noushin Bagheri, M. Tabash
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引用次数: 0
Comparative study of methods to identify sensitive parameters for improving performance of predictive models 提高预测模型性能的敏感参数识别方法的比较研究
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.134481
Mohan Sangli, Rajeshwar S. Kadadevaramath, Srikanth Madaka
Machine learning models map inputs to predictions. Supervised machine learning models learn from a dataset containing several samples or experiments by assigning a weightage to each of the input parameters, commonly referred as features, so as to map to the corresponding target outcome. Different algorithms are used in the learning process, each following a set of rules to achieve the stated objective of mapping features to the corresponding value of target. In this development process, algorithms assign weights to each feature and refine them iteratively to reduce the error between the predicted outcomes with the actual value in the dataset. It is observed that each type of algorithm is based on certain themes such as linear, tree-based, kernel, etc. Each adoption of each of these themed algorithms assigns different weights to features to arrive at the target outcome while reducing the error with the actual value. Iterations alter the weights of parameters until fully tuned and hence there is a need to get reliable weights early in the model development process.
机器学习模型将输入映射到预测。监督式机器学习模型通过为每个输入参数(通常称为特征)分配权重,从包含多个样本或实验的数据集中学习,从而映射到相应的目标结果。在学习过程中使用了不同的算法,每种算法都遵循一套规则,以实现将特征映射到目标的相应值的既定目标。在这个开发过程中,算法为每个特征分配权重并迭代地改进它们,以减少预测结果与数据集中实际值之间的误差。可以观察到,每种类型的算法都是基于一定的主题,如线性的、基于树的、内核的等。每种主题算法的每次采用都为特征分配不同的权重,以达到目标结果,同时减少与实际值的误差。迭代会改变参数的权重,直到完全调优为止,因此需要在模型开发过程的早期获得可靠的权重。
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引用次数: 0
Comparative study of methods to identify sensitive parameters for improving performance of predictive models 提高预测模型性能的敏感参数识别方法的比较研究
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.10054547
Srikanth Madaka, R. S. Kadadevaramath, Mohan Sangli
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引用次数: 0
Workplace: an empirical study on spiritual leadership in Pakistani higher education 职场:巴基斯坦高等教育精神领导力的实证研究
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.131721
Ansar Abbas, D. Ekowati, Fendy Suhariadi, Aisha Anwar
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引用次数: 3
E-commerce assistant application incorporating machine learning image classification 结合机器学习图像分类的电子商务助手应用
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/IJBSR.2022.10036200
Victor I. Chang, Robert Marshall, Q. Xu, Anastasija Nikiforova
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引用次数: 1
Internationalisation business strategy via e-commerce 通过电子商务实现国际化经营战略
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/IJBSR.2022.10038644
Á. Dias, Rui Gonçalves, L. Pereira, R. Costa, Yuliya Tovstolyak
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引用次数: 0
Computerised relationship layout planning for redesign of supermarket layouts 电脑化关系布局规划,用于重新设计超市布局
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.133211
M. Shilpa, L. Harshith, Shobhini Sekar, R. S. Kadadevaramath
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引用次数: 0
An analysis of firms' environmental performance: an empirical study of Carbonex firms in India 企业环境绩效分析:对印度Carbonex公司的实证研究
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.134463
Jeevesh Sharma, Suhasini Verma
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引用次数: 0
Modelling the barriers of online shopping in the Philippines using the ISM-MICMAC approach 使用ISM-MICMAC方法模拟菲律宾网上购物的障碍
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.127712
Vanessa Grace G. Guerrero, Roy Jucip T. Basar III, Honey Rose N. Borden, Manuel Lorenzo G. Busano III, Xelani Kaye A. Gonzales, Kafferine D. Yamagishi, Lanndon A. Ocampo
With a significant share of the Philippine population going online, online shopping has become an emerging trend. As the number of online shopping transactions increases daily, it has become increasingly important to understand the barriers that hinder the market. Despite its importance, current literature considers buyers' perspectives with limited insights on the sellers' perceptions. Understanding the sellers' point of view provides a holistic analysis of these barriers for better practical insights. As a case in point, with the Philippines, this study attempts to identify the barriers of online shopping and their interrelationships, both from the sellers' and buyers' perspectives, using interpretive structural modelling and MICMAC analysis. Findings show that internet connection and the need for the product's sensory experience are highly relevant barriers to the sellers. On the other hand, buyers emphasise the need for the product's sensory experience than the rest of the barriers. The managerial implications of these findings are discussed.
随着菲律宾大量人口上网,网上购物已成为一种新兴趋势。随着网上购物交易的数量每天都在增加,了解阻碍市场发展的障碍变得越来越重要。尽管它很重要,但目前的文献考虑的是买方的观点,对卖方的看法的见解有限。了解卖家的观点,可以对这些障碍进行全面分析,从而获得更好的实际见解。以菲律宾为例,本研究试图从卖家和买家的角度,利用解释结构模型和MICMAC分析,确定网上购物的障碍及其相互关系。调查结果显示,互联网连接和对产品感官体验的需求是卖家高度相关的障碍。另一方面,买家更看重产品的感官体验,而不是其他障碍。讨论了这些发现的管理意义。
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引用次数: 2
Analysis of employee motivation in the service and manufacturing organisations: the case of a developing economy 服务业和制造业组织的员工动机分析:以发展中经济体为例
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.130627
Selim Ahmed, Rafikul Islam, Ahmed Al Asheq
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引用次数: 3
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International Journal of Business and Systems Research
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