识别移动技术使用与时间之间的关系:基于经合组织成员国样本的研究

IF 1.2 Q4 MANAGEMENT Marketing and Management of Innovations Pub Date : 2023-01-01 DOI:10.21272/mmi.2023.1-09
M. Oleárová, R. Bačík, B. Gavurová, M. Rigelský
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引用次数: 0

摘要

现代技术是否对人们的生活产生了积极的影响,或者相反,它的使用是否带来了更多的负面后果,在学术界尚无共识。鉴于手机的普遍性、无限的使用可能性和广泛的功能,我们有理由相信,这些设备改变了人们的时间管理方式。然而,不同的研究方法使得很难以统一的方式确认或拒绝考虑手机使用与不同活动的时间使用之间关系的假设。这一事实表明,进一步探索和追求技术、技术的发展和技术的使用如何能够渗透到人们的日常工作和社会生活中,仍有很大的研究空间。基于此,本文旨在评估经济合作与发展组织(OECD)国家样本中移动通信设备使用与时间使用变化之间的关系。该分析使用了3个手机使用指标和12个有时限指标,使用的是2020年的数据。最重要的发现是证实了应用回归分析产生的假设,即使用手机的频率与时间结构的变化没有显著相关性。然而,在为女性指定的模型中出现了一些重要的关系。这项研究还发现,最明显的差异是在全天的无偿和有偿时间。本文提供了相关的发现,可以在许多方面有益。例如,在商业世界中,它们可以帮助管理业务活动,改进性能度量,或者改进与工作流优化相关的管理决策。调查结果不仅提供了对人口福祉的了解,还提供了对信息通信技术部门状况的了解,并最终提供了对各国可持续发展的所有特征的了解。此外,本研究的贡献也可能有助于决策者设计更有效的决策。在本文中,我们讨论了该研究的结果,概述了一些实际意义,并提出了进一步研究该问题的潜在途径。
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Identifying the Relationship Between the Use of Mobile Technologies and Time: A Study Based on a Sample of OECD Member Countries
There is no consensus in the academic community on whether modern technology positively impacts people’s lives or, on the contrary, whether its use has more negative consequences. Given the universal nature of cell phones, the limitless possibilities of use, and their wide-ranging functionalities, it is reasonable to believe that these devices have been responsible for changing people’s time management. However, different research approaches make it very difficult to confirm or reject hypotheses that consider associations between cell phone use and time use regarding the different activities in a unified way. This fact suggests that there is still a vast scope in research for further exploring and pursuing how technologies, their development, and their uses are able to permeate the everyday working and social life of the population. Based on this, the present paper aims to assess the relationship between the mobile communication device use and time-use change in a sample of Organisation for Economic Co-operation and Development (OECD) countries. This analysis used 3 cell phone use indicators and 12 time-bound indicators by using data for the year 2020. The most significant finding was the confirmation of the assumption arising from the application of regression analysis that the frequency of use of cell phones is not significantly related to the changes in the time structure. However, some significant relationships emerged in the models specified for women. This study also discovered that the most apparent difference was observed in unpaid and paid time throughout the day. The paper provides relevant findings which can be beneficial in many aspects. For example, in the business world, they can help manage business activities, improve performance measurement, or improve managerial decisions related to workflow optimization. The findings provide an understanding not only of the population’s well-being but also of the ICT sector state and, ultimately, of all the characteristics of the sustainable development of the countries. In addition, the contribution of this study is also possible in designing more effective decisions by policymakers. In the article, we discuss the study’s results, outline some practical implications, and suggest potential avenues for further research on this issue.
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