Social Sciences
The employee (white-collar) behavioral from Indian IT industry where data has various features like age, gender, training (TR), creativity (CR), psychological contract fulfilment (PC) and organizational citizenship behavior (OCB). The scales are likert scales ranging from "1 to 5" where "5" being highest and "1" being lowest, and are adapted from different HRM core papers. Each scale is independent and can be used separately. The data is behavioral in nature. The reliability of the construct was tested using Cronbach’s alpha resulting in 0.959.
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The concept of wellness, as proposed by Halbert L. Dunn, recognizes the importance of multiple dimensions, such as social and mental well-being, in maintaining overall health. Neglecting these dimensions can have long-term negative consequences on an individual's mental well-being. In the context of traditional in-person therapy sessions, efforts are made to manually identify underlying factors that contribute to mental disturbances, as these factors, if triggered, can potentially lead to severe mental health disorders.
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Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory
By Juliet Corbin & Anselm Strauss
Publisher: SAGE Publications, Inc.
Publication year: 2008
Print ISBN:9781412906449
Online ISBN:9781452230153
Keywords: culture wars, death, emotion, enemies, pain, Vietnam, war
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User's Behvoiur Scores with cyber attack victim as label
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This dataset was created by following these steps. First, online reviews of HMD VR devices are collected and refined. Second, variables are deduced from previous studies, and then appropriate keyword candidates for the deduced variables are selected. Topic modeling is conducted to examine whether the deduced variables sufficiently represent all the reviews, and other variables are added if necessary.
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This set of data were collected to study the play willingness after watching game videos with missing information.
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Replication data for the fsQCA model in: "Why do companies employ prohibited unethical artificial intelligence practices?"
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The dataset analyzed in this study is the result of a systematic literature review and a crowdsourced mini-project that aimed to identify and validate metrics relevant to maternal and neonatal healthcare examinations. The study involved a diverse group of participants, including 193 registered medical personnel from reputable institutions and 161 non-medical individuals who were active on various social media platforms related to maternal and neonatal healthcare.
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