Purpose

Considering the cognitive challenges associated with a data-rich business environment, this research aims to investigate the relationship between data literacy (DL), perceived data overload (PDO), and technostress (TS), besides the effect of these constructs on professional's individual performance (IP).

Design/methodology/approach

Through survey research, the authors collected data from 321 professionals who work in data-rich and highly technological business environments. To test the hypotheses proposed, the authors developed the partial least squares structural equation modeling (PLS-SEM) procedures.

Findings

The results showed that DL is positively associated with IP and negatively with PDO. PDO is positively associated with TS and negatively with IP. The authors found no significant negative association between TS and IP.

Research limitations/implications

With this research, the authors seek to contribute to the gap in the literature concerning two cognitive challenges associated with data-rich business environments: PDO and TS, analyzing from the point of view of the individual, and highlighting the importance of DL in this context.

Practical implications

The results can assist managers in effectively being concerned with the DL level of their workforce. This is important considering not only the professionals' IP but also the cognitive challenges such as PDO and TS.

Originality/value

The innovation of this study lies in the empirical analysis of DL in the business context and its relationship with two cognitive challenges inherent in data-rich environments: PDO, and TS. Besides, the authors highlight the importance of understanding such phenomena in terms of IP.

中文翻译：

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数据素养和数据丰富的商业环境的认知挑战：对感知数据过载、技术压力及其与个人绩效关系的分析

目的

考虑到与数据丰富的商业环境相关的认知挑战，本研究旨在调查数据素养 (DL)、感知数据过载 (PDO) 和技术压力 (TS) 之间的关系，以及这些结构对专业人士个人绩效的影响(IP)。

设计/方法/方法

通过调查研究，作者收集了 321 名在数据丰富且技术含量高的商业环境中工作的专业人士的数据。为了测试提出的假设，作者开发了偏最小二乘结构方程建模 (PLS-SEM) 程序。

发现

结果表明，DL 与 IP 呈正相关，与 PDO 呈负相关。PDO 与 TS 呈正相关，与 IP 呈负相关。作者发现 TS 和 IP 之间没有显着的负相关。

研究限制/影响

通过这项研究，作者试图弥补与数据丰富的商业环境相关的两个认知挑战的文献空白：PDO 和 TS，从个人的角度进行分析，并强调 DL 在这种情况下的重要性.

实际影响

结果可以帮助管理人员有效地关注其劳动力的深度学习水平。这不仅考虑到专业人士的知识产权，而且考虑到诸如 PDO 和 TS 等认知挑战，这一点很重要。

原创性/价值

本研究的创新之处在于对商业环境中的深度学习的实证分析及其与数据丰富环境中固有的两个认知挑战的关系：PDO 和 TS。此外，作者强调了从知识产权的角度理解此类现象的重要性。