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The purpose of this paper is to verify the relationship between the features of social media and knowledge sharing, and to examine how ambient awareness mediates this relationship.

An experiment is designed to stimulate the knowledge work in a famous Chinese business college and 156 valid samples were obtained. AMOS was used in this paper to examine the theoretical model.

There is a correlation among features of social media, ambient awareness and knowledge sharing. Surprisingly, network translucence, which indicates individuals’ meta-knowledge of others’ connections, has no influence on knowledge sharing. Although this is inconsistent with conjecture of the existing literature, it can be well explained by the phenomenon in real life, such as privacy setting in social media.

For employees who use social media to promote knowledge sharing within organizations, this study reminds them of the importance of ambient awareness. For managers, this study can give them some suggestions to make employees take full advantage of social media to achieve optimal benefits of knowledge sharing, thus improving organizational performance and innovation. For social media designers, they can make social media more useful in knowledge work by improving its specific features.

This paper proposes that ambient awareness is the mediator of the effect path between communication and knowledge sharing. And the status perception of coworkers’ exchanging information is closely related to knowledge sharing.

Drawing upon the theory of communication visibility, this research intends to investigate the direct effect of enterprise social media (ESM) usage on team members’ knowledge creation capability (KCC) and the mediating effects of psychological safety and team identification. In addition, it aims to untangle how the efficacy of ESM usage varies between pre- and post-COVID-19 periods.

Using two-wave survey data from 240 members nested within 60 teams, this study utilizes a multilevel approach to test the proposed hypotheses.

We discover that ESM usage enhances team members’ KCC. More importantly, the results show that psychological safety and team identification mediate the ESM–KCC linkage. Interestingly, we further find that the impacts of ESM usage on team members’ KCC, psychological safety, and team identification are stronger in the pre-COVID-19 period than those in the post-COVID-19 period.

This research sheds light on the ESM literature by unraveling the mechanisms of psychological safety and team identification underlying the linkage between ESM usage and team members’ KCC. Moreover, it advances our understanding of the differential efficacy of ESM usage in pre- and post-COVID-19 periods.

Like “second hand smoke,” the harmful repercussions of racial harassment may extend well beyond the target to impact others at work. This study seeks to examine the “second hand smoke effect”, or ambient racial harassment, which involves exposure to racial harassment aimed at others. The paper examines race differences in awareness of racial harassment and explored work and health‐related outcomes associated with exposure to racial harassment. It also examines organizational tolerance for harassment as a moderator of these relationships.

A diverse sample of 245 employees from three data sources were surveyed. One data source involved White and Black employees in the same organization; the others worked in a variety of organizations across the USA.

Whites were less likely than Blacks to be aware of racial harassment, even when employed in the same workplace. However, awareness of racial harassment predicted negative job attitudes and psychological strain for both Whites and Blacks. These relationships were amplified by perceptions of organizational tolerance for racial harassment.

The study documents ramifications of ambient racial harassment and illuminates a racial divide in awareness of harassment at work that may exacerbate racial conflict and prevent needed organizational change.

The paper extends the construct of ambient racial harassment by measuring a range of overt and subtle forms that vary in type and intensity, and by examining the role of organizational tolerance for racial harassment as a moderator of the relationship between ambient racial harassment and work and health‐related outcomes.

In order to explore the role of enterprise social network (ESN), this study examines how the different dimensions of ESN use – within teams and across teams – facilitate knowledge acquisition in organizations and how knowledge acquisition, in turn, impacts exploitative and exploratory innovation performance.

This study applied the survey approach to collect a valid sample of 150 Chinese companies that had innovation activities and were using ESN. The partial least squares (PLS) technique was used for data analysis to test the research model and hypotheses.

ESN use within teams has a positive impact on knowledge depth and knowledge breadth, and ESN use across teams has a positive impact on knowledge depth. Knowledge depth and knowledge breadth are both beneficial for innovation performance. The two types of ESN use have different impacts on knowledge depth and knowledge breadth; moreover, knowledge depth and knowledge breadth have different impacts on innovation performance. Specifically, the impacts of ESN use within teams and across teams on exploitative innovation performance are mediated by knowledge depth; the impact of ESN use within teams on exploratory innovation performance is mediated by knowledge breadth.

This paper can enhance the understanding of the importance of ESN use and ESN's role in facilitating knowledge acquisition and innovation performance.

This is paper is concerned with the learning outcomes associated with connectivity through online networks, open online exchange and wider changes associated with contemporary information practices. The theme of connectivity is used here to capture both the detailed specificity of relations that define networks of learners and the ambient effect of wide accessibility to resources and people through open, online forums.

The paper follows the idea of a network from the ground up, outlining the social network perspective as a way to consider the foundational bases of learning and networks, as well as the effect of ambient influence. The paper addresses the ways learning may be viewed as a social network relation, an interpersonal relationship and an outcome of interaction and connectivity, and how network connectivity can be used as input for design for learning.

The paper presents a range of perspectives and studies that view learning from a social network and connectivity perspective, emphasizing both the person-to-person connectivity of a learning tie and the impact of contemporary data and information sharing through the dynamics of open contributory practice.

The outcome of connectivity in the service of learning is bound up with digital information practices, including individual practices of search, retrieval, participation, knowledge dissemination, knowledge construction and more. This paper provides a network perspective on learning relations that accommodates analysis in online and offline environments, but incorporates attention to the open, online retrieval and contributory practices that now influence learning practices and which may support design of new learning environments.

This paper offers insight into the way social networks and connectivity combine to show network relations, relationships, outcomes and design input at the actor, network and societal levels.

Technology proliferation is on a movement to outpace an 18^th-century computing industry paradigm known as “Moore’s law.” This law establishes the rate of technological advancements. The premise of this edict is evident in our coupled workplace with the integration of an emerging technology known as Ambient Intelligence (Aml).

The modernization of the traditional office is designed to be collaborative and environment-friendly. Modernization is primarily due to ambient intelligence. “Opportunities for process and business improvements will derive from a “real-world Web” of smart objects and ambient intelligence, and from consumer-oriented trends such as Web business platforms, aesthetic design, and mobile robots as they move into the business world” (Fenn and Smith, 2005, para. 1). It is safe to reason that ambient intelligence is on a trendy trajectory in many business-oriented workplaces, worksites and workspaces. The business culture is inconspicuously changing before our eyes. Architects and designers are seamlessly incorporating this trend into their respective end-to-end processes of constructing new or retrofitting existing office spaces.

Its unnoticeably embedded adoption is in conference rooms, doorways, elevators, escalators, lighting, meeting rooms, phone displays, and walkways. As ambient technology naturally collides with the functional way an office professional interactively operates through a usual workday, its adaptation becomes seemingly smart and swift. The interesting facet of this technology is that one would not know it unless it was pointed out.

Although there are equipment and devices that offer a singular approach of being convenient and hands-free, there exist common misconceptions and unassuming annoyances that are in place as inherent issues. Once the work environment impedes productivity or natural flow of movement, we realize something is different. These differences align to the surrounding tangible and intangible cues. The information presented in this chapter will disclose the underlying issues at a practical level.

Design is an important construct in the retail environment literature. Yet, the measures used for design have not followed appropriate scale development procedures. The purpose of this study is to provide a conceptual definition and then develop a scale for retail environment design (RED).

Interviews with both consumers and marketing researchers are used to generate a potential list of items. Using four different studies, these items are refined, and the RED scale is offered.

This study develops and validates the four-dimensional RED scale to measure the design of retail environments. The dimensions are functional, aesthetic, lighting and signage.

The newly developed RED scale will allow retailing researchers to measure lighting and signage qualities as part of retail design, measure design of retail environments more accurately and allow different studies to be compared.

The newly developed RED scale will allow retailers to better understand customers’ perceptions of the four dimensions of design. Retailers spend significant time and money designing and redesigning retail environments. The RED scale will enable managers to ensure these significant investments create competitive advantages and an appropriate return on investment.

A scale to measure retail environment design is developed. The scale includes two dimensions (lighting and signage) that are not typically investigated.

This paper aims to investigate green buildings and individual productivity, specifically within the context of indoor environmental quality (IEQ) within green certified office buildings. The purpose of the research was to determine how self-assessed productivity levels were influenced by the indoor environment of the office building.

Qualitative data analysis was conducted via semi-structured interviews in two financial services companies (FSCs), both based in green certified office buildings in South Africa. Thematic analysis was conducted to extract common themes from the data. Furthermore, the data were compared to previous research to identify new potential pathways or provide support for existing pathways.

The main findings were that physical components, such as temperature, lighting, ventilation and noise, contribute depending on the respondent to individual productivity, engagement, organisational commitment and psychological wellbeing. Safety, underpinned by location and amenities, was a new component not previously considered that subtly contributed to individual productivity.

The research provides valuable insight into the contributing factors that impact individual productivity within a green certified office building, as previous researchers have yet to reach a consensus on the relationship between individual productivity and IEQ in green certified office buildings.

Dust (particulate matters) is very dangerous to our health as it is not visible with our naked eyes. Emissions of dust concentrations in the natural environment can occur mainly by road traffic, constructions and dust generating working environments. The purpose of this paper is to assess the ambient dust pollution status and to find out the association between PM concentrations and other determinant factors such as wind speed, ambient temperature, relative humidity and traffic congestion.

A cross-sectional study was conducted for two consecutive months (June and July, 2016) at a residential site (Defence Services Liver Hospital, Mingaladon) and a commercial site (Htouk-kyant Junction, Mingaladon) based on WHO Air Quality Reference Guideline Value (24-hour average). Hourly monitoring of PM2.5 and PM10 concentration and determinant factors such as traffic congestion, wind speed, ambient temperature and relative humidity for 24 hours a day was performed in both study sites. CW-HAT200 handheld particulate matters monitoring device was used to assess PM concentrations, temperature and humidity while traffic congestion was monitored by CCTV cameras.

The baseline PM2.5 and PM10 concentrations of Mingaladon area were (28.50±11.49)µg/m³ and (52.69±23.53)µg/m³, means 61.48 percent of PM2.5 concentration and 54.92 percent of PM10 concentration exceeded than the WHO reference value during the study period. PM concentration usually reached a peak during early morning (within 3:00 a.m.-5:00 a.m.) and at night (after 9:00 p.m.). PM2.5 concentration mainly depends on traffic congestion and temperature (adjusted R²=0.286), while PM10 concentration depends on traffic congestion and relative humidity (adjusted R²=0.292). Wind speed played a negative role in both PM2.5 and PM10 concentration with r=−0.228 and r=−0.266.

The air quality of the study area did not reach the satisfiable condition. The main cause of increased dust pollution in the whole study area was high traffic congestion (R²=0.63 and 0.60 for PM2.5 and PM10 concentration).

This research aims to address the issue of safe navigation for autonomous vehicles in highly challenging outdoor environments. Indeed, robust navigation of autonomous mobile robots over long distances requires advanced perception means for terrain traversability assessment.

The use of visual systems may represent an efficient solution. This paper discusses recent findings in terrain traversability analysis from RGB-D images. In this context, the concept of point as described only by its Cartesian coordinates is reinterpreted in terms of local description. As a result, a novel descriptor for inferring the traversability of a terrain through its 3D representation, referred to as the unevenness point descriptor (UPD), is conceived. This descriptor features robustness and simplicity.

The UPD-based algorithm shows robust terrain perception capabilities in both indoor and outdoor environment. The algorithm is able to detect obstacles and terrain irregularities. The system performance is validated in field experiments in both indoor and outdoor environments.

The UPD enhances the interpretation of 3D scene to improve the ambient awareness of unmanned vehicles. The larger implications of this method reside in its applicability for path planning purposes.

This paper describes a visual algorithm for traversability assessment based on normal vectors analysis. The algorithm is simple and efficient providing fast real-time implementation, since the UPD does not require any data processing or previously generated digital elevation map to classify the scene. Moreover, it defines a local descriptor, which can be of general value for segmentation purposes of 3D point clouds and allows the underlining geometric pattern associated with each single 3D point to be fully captured and difficult scenarios to be correctly handled.