In this paper, two such methods based on time-frequency masking are investigated with the aim of attenuating the undesired signal, while preserving the spatial components of the desired signal. Methods that preserve complete spatial information have only recently been suggested, and have not been studied comprehensively. Most of these studies present solutions that attenuate the undesired signals, while preserving only limited spatial information regarding the desired signal, such as the direction of arrival (DOA).

Nevertheless, there are only a few studies in the literature that propose solutions to this challenge. However, in emerging applications such as virtual reality and spatial audio, in addition to attenuating undesired signals, the ability to preserve the spatial information of the desired signal captured in a noisy environment is of great importance. Speech enhancement in a single channel has been well studied in the literature in applications such as speech communication systems. As a practical contribution, organizations can better support SVR adoption efforts by evaluating the importance of these identified moderators in their organizational contexts. Second, propositions are derived concerning the specific effects these moderators have on the relationship between the DOI antecedentsĪnd SVR diffusion. First, it identifies eight critical enabling factors that moderate the diffusion effects of the DOI antecedent factors of SVR. This study contributes to information systems literature in two ways. The data were initially categorized in relation to Rogers’ diffusion of innovations (DOI) theory’s three most predictive technological antecedent factors of diffusion (relative advantage, compatibility, and complexity) and then iteratively refined based on a qualitative analysis. Qualitative empirical data were collected in 12 semi-structured interviews and 14 focus groups with AEC organizations. Specifically, this paper identifies enabling factors that moderate the effects that the technological attributes of SVR have on its diffusion. This paper examines the diffusion of SVR in the context of architecture, engineering, and construction (AEC). However, relatively little is known about the factors leading to the diffusion of SVR in organizations. Social virtual reality (SVR), or multi-user virtual reality, is an emerging technology that enables new ways of collaboration in industrial use.

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