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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

14.7K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Extraction: Advanced Methods00:56

Extraction: Advanced Methods

446
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
446
Social Exchange Theory02:06

Social Exchange Theory

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We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
34.5K
The Representativeness Heuristic02:13

The Representativeness Heuristic

15.8K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
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Data Collection by Experiments01:13

Data Collection by Experiments

24.2K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
24.2K
Data Collection by Survey01:07

Data Collection by Survey

6.5K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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相关实验视频

Updated: Jun 28, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

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模拟使用用户生成内容遇到的服务体验:一个文本挖掘方法.

Arpan Kumar Kar1, Sunil Kumar1, P Vigneswara Ilavarasan1

  • 1Department of Management Studies, Indian Institute of Technology, Delhi, New Delhi India.

Global journal of flexible systems management
|April 16, 2024
PubMed
概括
此摘要是机器生成的。

这项研究分析了791,804条推文,确定了影响印度旅游客户服务体验的关键因素. 调查结果显示,印度各地的服务预期和满意度存在显著的区域差异.

关键词:
客户服务体验 客户服务体验此外,还有服务灵活性.机器学习 机器学习服务科学 服务科学社交媒体 社交媒体文本挖掘 (Text Mining) 是一种文字挖掘方式.旅游 旅游 旅游 旅游

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
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相关实验视频

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Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
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科学领域:

  • 服务科学科学 服务科学
  • 旅游管理 旅游管理
  • 计算社会科学 计算社会科学

背景情况:

  • 印度旅游业经历了显著的增长,各种利益相关者的兴趣越来越大.
  • 客户服务遇到的情况对旅游服务消费有着深远的影响.
  • 在接触点测量服务体验存在挑战.

研究的目的:

  • 确定影响印度旅游业客户服务体验的因素.
  • 用社交媒体数据分析这些因素.
  • 模拟印度不同地区的服务体验.

主要方法:

  • 挖掘和分析791,804条与印度旅游服务相关的推文.
  • 使用主题建模,主题关联挖掘和情绪分析.
  • 应用推论分析对印度五个区域 (北,南,东,西,东北) 的模型因素.

主要成果:

  • 确定了关键因素:可访问性,住宿,保证性,文化吸引力,Jugaadu服务灵活性,清洁性,热情好客,价格,餐厅和安全性.
  • 在这些因素的重要性和影响方面,区域间有显著的变化.
  • 强调了影响印度旅游业客户服务体验的因素的高度位置特异性.

结论:

  • 印度旅游业的客户服务体验是由一系列不同的因素决定的.
  • 这些因素的影响和重要性在印度各地呈现出相当大的区域差异.
  • 这些发现对学术理论和旅游服务管理的实际策略都有宝贵的意义.