S. Lansmann, J. Mattern, S. Krebber, J. A. Hüllmann
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Structural equation modeling is used to analyze the quantitative survey data. In addition, IT professionals' responses to six open questions in which they reflect on past experiences and envision future work are examined.FindingsQuantitative results suggest that characteristics of the worker, such as segmentation preference, are influencing WFH intentions stronger than characteristics of the workspace or the work context. Furthermore, perceived productivity during EWFH and gender significantly predict WFH intentions. Contextualizing these quantitative insights, the qualitative data provides a rich yet heterogeneous list of factors why IT professionals prefer (not) to work from home.Practical implicationsReasons influencing WFH intentions vary due to individual preferences and constraints. Therefore, a differentiated organizational approach is recommended for designing future work arrangements. In addition, the findings suggest that team contracts to formalize working patterns, e.g. to agree on the needed number of physical meetings, can be helpful levers to reduce the complexity of future work that is most likely a mix of WFH and office arrangements.Originality/valueThis study extends literature reflecting on COVID-19-induced changes, specifically the emerging debate about why employees want to continue WFH. 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引用次数: 0
摘要
目的 科罗娜大流行(COVID-19)期间在家工作的积极经历促使许多员工在大流行后继续在家工作。然而,在大流行病引发的强制在家工作(EWFH)经历的背景下,影响员工在家工作意愿的因素是多种多样的。本研究调查了与信息技术(IT)专业人员全职在家意愿相关的因素。设计/方法/方法本研究采用混合方法,对 92 名信息技术专业人员进行了调查,研究了七种预测因素对信息技术专业人员全职在家意愿的影响。这些预测因素按照(1) 工作者特征、(2) 工作空间特征和(3) 工作环境的三分法进行分类。结构方程模型用于分析定量调查数据。研究结果定量结果表明,与工作空间或工作环境的特征相比,员工的特征(如细分偏好)对全职工作意向的影响更大。此外,EWFH 期间的生产率感知和性别也会对 WFH 意愿产生重大影响。通过对这些定量数据的分析,定性数据提供了一份内容丰富但又不尽相同的清单,列出了 IT 专业人员为何更愿意(不愿意)在家工作。因此,建议在设计未来的工作安排时采用有区别的组织方法。此外,研究结果表明,团队合同可以使工作模式正规化,例如,就所需的实际会议次数达成一致,这有助于降低未来工作的复杂性,因为未来的工作很可能是 WFH 和办公室安排的混合体。对于研究人员和从业人员来说,了解哪些因素会影响 IT 专业人员的 WFH 意愿以及这些因素如何影响未来混合工作安排的设计和实施至关重要。
The future of working from home: a mixed-methods study with IT professionals to learn from enforced working from home
PurposePositive experiences with working from home (WFH) during the Corona pandemic (COVID-19) have motivated many employees to continue WFH after the pandemic. However, factors influencing employees' WFH intentions against the backdrop of experiences during pandemic-induced enforced working from home (EWFH) are heterogeneous. This study investigates factors linked to information technology (IT) professionals' WFH intentions.Design/methodology/approachThis mixed-methods study with 92 IT professionals examines the effects of seven predictors for IT professionals' WFH intentions. The predictors are categorized according to the trichotomy of (1) characteristics of the worker, (2) characteristics of the workspace and (3) the work context. Structural equation modeling is used to analyze the quantitative survey data. In addition, IT professionals' responses to six open questions in which they reflect on past experiences and envision future work are examined.FindingsQuantitative results suggest that characteristics of the worker, such as segmentation preference, are influencing WFH intentions stronger than characteristics of the workspace or the work context. Furthermore, perceived productivity during EWFH and gender significantly predict WFH intentions. Contextualizing these quantitative insights, the qualitative data provides a rich yet heterogeneous list of factors why IT professionals prefer (not) to work from home.Practical implicationsReasons influencing WFH intentions vary due to individual preferences and constraints. Therefore, a differentiated organizational approach is recommended for designing future work arrangements. In addition, the findings suggest that team contracts to formalize working patterns, e.g. to agree on the needed number of physical meetings, can be helpful levers to reduce the complexity of future work that is most likely a mix of WFH and office arrangements.Originality/valueThis study extends literature reflecting on COVID-19-induced changes, specifically the emerging debate about why employees want to continue WFH. It is crucial for researchers and practitioners to understand which factors influence IT professionals' WFH intentions and how they impact the design and implementation of future hybrid work arrangements.