印度社交媒体成瘾量表的开发与验证

IF 3.1 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
N. Saqib, Faseeh Amin
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引用次数: 0

摘要

在过去的二十年里,数以百万计的社交媒体用户已经变得依赖于社交媒体,这对他们的生活产生了负面影响,无论是身体上还是精神上。印度尚未进行社交媒体成瘾(SMA)规模发展的早期尝试,因此在该地区进行此类研究至关重要。本研究的目的之一是探索和确定文献中SMA的相关维度。主要研究目标是开发和验证印度SMA的规模。设计/方法论/方法在这项工作中应用的研究设计是定性和定量的。在文献回顾的基础上,识别出SMA的一些主题,并对相关受试者进行半结构化访谈。然后对访谈进行转录,并使用NVivo软件应用程序进行内容分析。这有助于确定用于编制调查表的有关主题。之后进行了探索性研究,探讨SMA的影响因素。随后对另一个样品进行验证分析,以验证该仪器。本研究开发并验证了SMA的六因素测量方法。最终乐器的项目总数为22个。突出性、耐受性、情绪调节、复发、戒断和冲突是最终量表的六个因素。实际意义:目前设计的仪器在评估SMA的发生和水平方面具有特殊的功能。这也有助于处理和管理这种网络成瘾行为。由于在社交媒体上花费了大量不必要的时间,导致很多生产力损失。通过更好地了解SMA的维度,人们可以限制自己在此类网络上的时间。社会意义这项工作可以为这一领域提供有价值的见解,并有助于理解和治疗这种不适。它还可以帮助家长和其他利益相关者了解与过度使用社交媒体相关的危险,从而为社会做出贡献。这些维度也可以帮助咨询师和心理学家更好地了解成瘾行为,并相应地为相关个体提供咨询。原创性/价值虽然过去研究人员开发了许多工具来测量SMA,但该概念的某些方面仍未得到充分研究。此外,这类研究大多局限于发达世界区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The development and validation of the Indian social media addiction scale
PurposeMillions of social media users over the last two decades have become dependent on social media that has negatively affected their lives, both physically and mentally. Earlier attempts on social media addiction (SMA) scale development have not been made in India which makes it essential to undertake such a study in this region. One of the objectives of this study was to explore and identify the relevant dimensions of the SMA in the literature. The main study objective was to develop and validate a scale on SMA in India.Design/methodology/approachThe research design applied in this work was both qualitative and quantitative. Based on the literature review, some themes of SMA were recognized that were used to conduct semi-structured interviews with the concerned subjects. The interviews conducted were then transcribed, and using NVivo software application, content analysis was carried out. This helped in the identification of relevant themes that were used for preparing the questionnaire. After that an exploratory study was conducted to explore the factors of SMA. This was followed by a confirmatory analysis on a different sample that validated the instrument.FindingsThis work developed and validated a six-factor measure of SMA. The total numbers of items in the final instrument are 22. Salience, Tolerance, Mood Modification, Relapse, Withdrawal and Conflict are the six factors of the final scale.Practical implicationsThe current designed instrument can be exceptionally functional for evaluating the occurrence and level of the SMA. This can also serve to assist in the handling and management of such online addictive behavior. A lot of productivity is lost due to the unwarranted time spent on the social media. By better understanding the dimensions of SMA, one can limit one's time on such networks.Social implicationsThis work can provide valuable insight into this domain and help in understanding and treatment of this malaise. It can also help parents and other stakeholders at large to comprehend the danger linked with the excessive social media use and therefore, contribute towards the society. These dimensions can also help counsellors and psychologists to better understand the addiction behavior and accordingly counsel the concerned individual.Originality/valueAlthough many instruments have been developed in the past by researchers to measure SMA,still some aspects of the concept remain under-researched. Moreover, most of such research has been confined to the developed world regions.
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来源期刊
Online Information Review
Online Information Review 工程技术-计算机:信息系统
CiteScore
6.90
自引率
16.10%
发文量
67
审稿时长
6 months
期刊介绍: The journal provides a multi-disciplinary forum for scholars from a range of fields, including information studies/iSchools, data studies, internet studies, media and communication studies and information systems. Publishes research on the social, political and ethical aspects of emergent digital information practices and platforms, and welcomes submissions that draw upon critical and socio-technical perspectives in order to address these developments. Welcomes empirical, conceptual and methodological contributions on any topics relevant to the broad field of digital information and communication, however we are particularly interested in receiving submissions that address emerging issues around the below topics. Coverage includes (but is not limited to): •Online communities, social networking and social media, including online political communication; crowdsourcing; positive computing and wellbeing. •The social drivers and implications of emerging data practices, including open data; big data; data journeys and flows; and research data management. •Digital transformations including organisations’ use of information technologies (e.g. Internet of Things and digitisation of user experience) to improve economic and social welfare, health and wellbeing, and protect the environment. •Developments in digital scholarship and the production and use of scholarly content. •Online and digital research methods, including their ethical aspects.
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