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International Journal of Services and Operations Management最新文献

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An empirical study of the determinants of employee silence among Generation Z Z世代员工沉默影响因素的实证研究
Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijsom.2023.10059884
Cheng Ling Tan, Kwang Wei Charn, Chew Sze Cheah, Afandi Yusof
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引用次数: 0
Does Employee Happiness Play any Mediating Role in the relationship between Work-life Balance and Turnover Intentions 员工幸福感是否在工作-生活平衡与离职意向之间起中介作用
Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijsom.2023.10059376
Gagandeep Kaur, Rajwinder Kaur
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引用次数: 0
Determinants of service quality in the COVID-19 times: an analysis of online shopping in Brazil COVID-19时代服务质量的决定因素:对巴西网上购物的分析
Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijsom.2023.134800
André Philippi Gonzaga d, e Albuquerque, Fagner José Coutinho d, e Melo, Lucas Ambrósio Bezerra d, e Oliveira, Denise Dumke d, e Medeiros
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引用次数: 0
Manufacturers' pricing and advertising strategies for complementary and substitute goods 制造商对补充和替代商品的定价和广告策略
Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijsom.2023.134271
Emad Roghaniana, Zahra Namazian
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引用次数: 0
Employee involvement practices in lean manufacturing: a multi-method approach 精益生产中的员工参与实践:一种多方法方法
Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijsom.2023.10054612
G. Ganga, M. Callefi, Moacir Godinho Filho, Nayara Cardoso De Medeiros
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引用次数: 0
Exploring the Impact of Educational Services Quality on Student Satisfaction 探讨教育服务质量对学生满意度的影响
Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijsom.2023.10058096
Byunghak Leem
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引用次数: 0
A quality-based customer service system approach 以质量为基础的客户服务体系方法
Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijsom.2023.132856
Nilson Cibério d, E. A. Le�ã, N. o, Fagner José Coutinho d, E. Melo, Raíssa Corrêa d, E. Carvalho, Denise Dumke d, E. Medeiros
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引用次数: 0
TQM Implementation in Indian Airline Industry: A Digraph Approach 印度航空业TQM的实施:有向图法
Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijsom.2023.10058975
Jamal Ahmad Farooqui, WAQAS NIAZI
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引用次数: 0
Flexibility in logistics: a literature review 物流中的灵活性:文献综述
Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijsom.2023.133411
Kalyana C. Chejarla, Omkarprasad S. Vaidya, Sushil Kumar
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引用次数: 0
Presenting a predictive benchmark model of after-sales service agencies for vehicles based on the data envelopment analysis approach 提出了基于数据包络分析方法的汽车售后服务机构预测基准模型
Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijsom.2023.133409
Sajjad Kheyri, Farhad Hosseinzadeh Lotfi, Seyed Esmaeil Najafi, Bijan Rahmani Parchkolaei
Everyone is aware of the importance of benchmarking in all industries. The same is true of the automotive industry. One of the methods of continuous improvement of car after-sales service agencies is benchmarking from successful and efficient examples in the country. Given that evaluation and benchmarking methods are usually retrospective, and also, the rapid changes in environment and customer needs, current methods cannot quickly define corrective actions. In this paper, first, a benchmarking model based on data envelopment analysis is developed for car after-sales service dealers as decision-making units, then considering that the model outputs have a high correlation coefficient, an innovative machine learning model has been used to predict the outputs. Finally, the results of the proposed prediction model are compared with a perceptron neural network algorithm. The results show that the benchmarking and prediction model together with a 7.7% error predicts benchmarks for the end of current period.
每个人都意识到标杆管理在所有行业的重要性。汽车行业也是如此。汽车售后服务机构持续改进的方法之一是借鉴国内成功、高效的案例对标。考虑到评估和基准方法通常是回顾性的,而且环境和客户需求的快速变化,当前的方法不能快速定义纠正措施。本文首先以汽车售后服务经销商为决策单元,建立了基于数据包络分析的对标模型,然后考虑到模型输出具有较高的相关系数,采用创新的机器学习模型对输出进行预测。最后,将该预测模型的结果与感知器神经网络算法进行了比较。结果表明,该基准和预测模型预测当期末基准的误差为7.7%。
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引用次数: 0
期刊
International Journal of Services and Operations Management
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