Bene ﬁ ts and drawbacks of communication visibility: from vicarious learning and supplemental work to knowledge reuse and overload

Purpose – This study aims to examine some of the benefits and drawbacks of communication visibility. Specifically, building on communication visibility theory, the authors study how and why message transparency and network translucence may increase knowledge reuse and perceived overload through behavioralresponses ofvicarious learningand technology-assistedsupplementalwork. Design/methodology/approach – Drawing on survey data obtained from 1,127 employees of a global company operating in the industrial machinery sector, the authors used structural equation modeling to test the hypothesizedmodel. Findings – The results demonstrate that the two aspects of communication visibility yield somewhat differential benefits and drawbacks in terms of knowledge reuse and communication overload, through vicarious learning and supplementalworkpractices. Research limitations/implications – The results demonstrate the relationship between different aspects of communication visibility and knowledge reuse, specifically through vicarious learning. Furthermore, the findings highlight a potential drawback of visibility – communication overload – specifically through technology-assisted supplemental work. Overall, network translucence seems more beneficial compared to message transparency in terms of knowledge reuse and communication overload. Originality/value – The study connects with recent work on communication visibility by distinguishing differential direct and indirect effects of message transparency and network translucence. It also extends this work by testing relationships between communication visibility and a potential drawback of visibility – communication overload – specificallythrough technology-assistedsupplementalwork.

indirect benefits and drawbacks. Thus, we include both vicarious learning and knowledge reuse as potential benefits and communication overload as a potential drawback (as mediated by TASW).

Theoretical framework
This study builds on the communication visibility theory to investigate several implications of message transparency and network translucence. The communication visibility theory proposes that when organizational ICTs make content and networks become more visible, observers can increase the amount and accuracy of their knowledge of who knows what (message transparency), who knows whom (network translucence), respectively (Chen et al., 2020;Engelbrecht et al., 2019;Leonardi, 2014Leonardi, , 2015Leonardi and Meyer, 2015). This improved individual knowledge represents a set of communication processes used to coordinate learning, retrieval and application of knowledge (Mell et al., 2014). Specifically, message transparency may help organizational members learn from their coworkers' expertise and experience, while network translucence can help to promptly identify relevant contacts when solutions are required (Leonardi, 2015). In other words, communication visibility allows organizational members to use others' information and expertise by being able to be exposed to and become aware of it and to locate and solicit it (Faraj and Sproull, 2000). However, communication visibility may have benefits and drawbacks and operate both directly and indirectly through behavioral responses. Leonardi (2014) argued that communication visibility may have benefits for organizational learning and performance. For instance, visibility may allow employees to avoid delays in work processes or prevent inaccurate decisions due to access to and reuse of existing knowledge, including knowledge generated in other contexts. Overall, the visibility of messages and connections creates access to an informal repository of existing knowledge and solutions that can be applied to prevent and solve both existing and new problems (Durcikova et al., 2011). The ways in which existing knowledge or solutions are reused and brought to bear to the problem at hand is known as knowledge reuse (Choi et al., 2010;Durcikova et al., 2011;Markus, 2001). Importantly, Chhim et al. (2017) differentiate knowledge reuse from similar terms like knowledge sharing and knowledge transfer by suggesting that knowledge reuse is about the application of existing knowledge, while "knowledge transfer and knowledge sharing emphasize the movement of knowledge" (p. 742). Hence, knowledge reuse is about the process by which an entity can locate and apply existing knowledge (Chhim et al., 2017;Markus, 2001).

Communication visibility and knowledge reuse
Research has considered positive consequences of visibility, such as greater interpersonal trust (Cramton et al., 2007), improved knowledge sharing (van Zoonen and Sivunen, 2020) and recombinant innovation (Leonardi, 2014), with sometimes inconsistent results. For instance, Zhao et al. (2020) studied ambient awareness, demonstrating that awareness of content (i.e. message transparency) was positively associated with improved knowledge sharing, while awareness of connections (i.e. network translucence) was not. However, Chen et al. (2020) demonstrated that both message transparency and network translucence were positively related to knowledge sharing. Furthermore, they found that network translucence may have adverse effects indicated by a positive relationship with knowledge hiding, while this negative impact was not found for message transparency. Yang et al. (2021) investigated how dimensions of communication visibility underlie work efficiency. In line with Zhao et al. (2020), they found differing effects of message transparency and network translucence such that message transparency was a significant predictor of work efficiency, while network translucence was not. These studies have highlighted the ways in which communication visibility can be influenced by the transparency of messages sent, exchanged, retrieved or observed within social systems j JOURNAL OF KNOWLEDGE MANAGEMENT j (Jensen et al., 2016), and provided insights into the implications of different dimensions of communication visibility.
However, evidence for a differential impact of transparency and translucence on knowledge reuse is more limited. In particular, studies have recognized the importance of communication visibility (without using that term) in fostering knowledge reuse (Choi et al;2010;Majchrzak et al., 2004). Knowledge reuse can lead to recombinant innovation, the combining of past knowledge in new ways (Hargadon, 2002;Leonardi, 2014). While Markus (2001) focuses primarily on knowledge producers and intermediaries making organizational knowledge available through knowledge repositories, her explication of the concept does explain how it involves both recall (source or access) and recognition (potential value of the information and how to apply it). However, typically, few knowledge producers or intermediaries have sufficient incentives or resources to store or repurpose knowledge, and intermediaries and secondary users may have problems in contextualizing and knowing how to adapt prior knowledge. While typically knowledge brokers (both formal and informal, whether individuals, groups or organizations) are needed to help foster knowledge reuse for learning and innovation, communication visibility through ICTs can provide more opportunities for awareness of, access to, bridging domains of, learning how to apply, linking current problems to and building new organizational networks benefitting from such knowledge (Hargadon, 2002). Communication visibility provides one powerful way to overcome traditional impediments to innovation of interpersonal communication and knowledge of who knows what in large organizations.
Hence, we propose that knowledge reusei.e. adapting existing ideas and solutions to solve existing problems as well as new problems in a different context (Durcikova et al., 2011;Hargadon, 2005;Markus, 2001)is an important potential benefit of both transparency and translucence visibility. Thus: H1. a) Message transparency and b) network translucence are positively associated with knowledge reuse.

Communication visibility and communication overload
Some researchers have started to explore dark sides of communication visibility, such as knowledge hiding (Chen et al., 2020;Wei et al., 2020), or strategic invisibility and ambiguitye.g. by setting your status to busy or offline, while you are actually not, or selectively sharing information (Gibbs et al., 2013;Leonardi and Treem, 2012). Wei et al. (2020) suggested that communication visibility plays a "double edge role," as it may both foster innovation and performance, as well as create overload and stifle performance. As the visibility of communication increases, more content and participant relationships (transparency and translucence) become available. Hence, organizational members may not only be exposed to much more information, but they also have more, and more immediate, obligations to respond to others, and process and provide information to others. In addition, the transparency of others' communication and a more thorough understanding of organizational networks may provide employees greater opportunities to both observe and engage in such behavior. Thus, both message transparency and network translucence may lead to communication overload in part because it creates a pressure to both process and act upon that knowledge and engage in more connections (implications of new organizational ICTs in general; Mazmanian et al., 2013). Communication overload is defined by the rate and complexity of communication inputs to an individual (Farace et al., 1977). More specifically, communication overload refers to the extent to which an employee perceives more quantity, complexity and/or equivocality in communication than the individual desires, needs or can handle at a given time (Cho et al., 2011).
Stephens et al.'s communication overload model labels this the availability-expectation-pressure pattern (2017, p. 269). In the context of hospital workers, Barrett et al. (2021) found that awareness of others' communication increased perceptions of communication overload. The authors suggested that the availability of knowledge and information also comes with the expectations and pressure to reciprocate on that availability by keeping one's knowledge of what others know up to date and maintaining their organizational communication networks.
For instance, research suggests that access to others' knowledge and connections may become so complex and diverse that it presents barriers to collaborate and even generate unproductive organizational behavior (Chen and Wei, 2019). From an information theory perspective (Shannon and Weaver, 1949), information overload is seen as "a state induced by a level of information exceeding the ability of an individual to assimilate or process during a given unit of time" (Hunter, 2005, p. 91;Barrett et al., 2021). The complexity and amount of information may further lead employees to feel overloaded as those may exceed employees' capacity to process and keep up with mounting ICT streams (Zhang et al., 2016). Indeed, Leonardi (2014) also reported that "the sustained attention necessary to cull information from coworkers' communications required effort and control" (p. 810). Based on an affordance perspective, others have offered similar conclusions about the potential for ICT overload (Islam et al., 2020;Sun et al., 2019).
Simply put, as much more content and connections become visible over time, organizational members become exposed to more information (Chen and Wei, 2019), often accompanied by stronger expectations and obligations to process and provide information (Perlow, 2012). Accessibility creates a pressure to respond (Mazmanian et al., 2013), and increases a fear of missing out (Przybylski et al., 2013), thus presenting more potential for feeling overloaded: H2. a) Message transparency and b) network translucence are positively related to communication overload.

Vicarious learning and knowledge reuse
The relationship between communication visibility and the reuse of knowledge might not be straightforward for all organizational members, however. For instance, Leonardi (2014) argued that communication visibility was particularly helpful to organizational members who shifted their approach to learning from experiential learning to vicarious learning. Vicarious learning entails learning from others' experiences, as opposed to learning through one's own experiences. Vicarious learning allows employees to learn from the successes and failures of others (Kc et al., 2013), contributes to a faster learning curve, reduces inefficiency, improves quality (Bledow et al., 2017;Sun et al., 2020aSun et al., , 2020b and facilitates recombinant innovation (Leonardi, 2014). Sun et al. (2020aSun et al. ( , 2020b explain that metaknowledge (cf. communication visibility) affects the relevant subprocesses of vicarious learningi.e. attention, retention, production and motivation. Through being more able to observe information by third parties (e.g. written messages and shared media) and communicate with experts in the organization (e.g. through a better understanding of communication networks in the organization), employees can learn, which may allow them to avoid the costs of prior mistakes, and reuse valuable knowledge and solutions (Markus, 2001).
Indeed, vicarious learning has long been considered a valuable process for innovation and performance (Manz and Sims, 1981;Myers, 2020). Following similar reasoning, we suggest that organizational members could learn vicariously from others by observing their knowledge and networks (Leonardi, 2014), consequentially enabling knowledge and solutions to be reused across problems and contexts. Hence: H3. The positive relationships between a) message transparency and b) network translucence with knowledge reuse are positively mediated by vicarious learning.
j JOURNAL OF KNOWLEDGE MANAGEMENT j Technology-assisted supplemental work and communication overload The extent to which communication visibility may increase overload is also likely to depend on how employees use ICTs to act upon increasingly visible messages and networks.
Research has repeatedly demonstrated that organizational ICTs may strengthen expectations for accessibility and response time (Mazmanian et al., 2013), pressures to process and act upon the communication that is made visible (Stephens et al., 2017), technostress (Khan and Mahapatra, 2017), telepressure (Barber and Santuzzi, 2015) and communication overload (Chen and Wei, 2019;Sun et al., 2020aSun et al., , 2020b. Stich et al. (2015) analyzed four categories of demands associated with ICTs: expectations for rapid response, ongoing availability, greater workload and less effective communication. They showed how each of the four demands was associated with various outcomes, both positive and negative; e.g. greater response expectations may increase pressure but also improve performance outcomes.
Several studies have demonstrated that (enterprise) social media could lead to various types of overload including system feature overload, information overload and social overload (Guo et al., 2020;Karr-Wisniewski and Lu, 2010;Zhang et al., 2016). Similar to information overload research in general, in the context of social media use and information overload, Fu et al. (2020) demonstrated that user performance first seems to increase, but then decreases as the amount of available information increases. In addition, Sun et al. (2020aSun et al. ( , 2020b note that communication visibility may lead to excessive uses of enterprise social software. The authors argue that communication visibility increases the social, information and hedonic value of the platform, leading users to excessively engage with the platform at work. Building on these findings, we suggest that the availability of knowledge may lead to communication overload, through the intervening need by workers to increase their efforts of keeping up with the complexity and volume of information through ICTs.
More specifically, the availability of information and ICTs increases the likelihood of TASW (Rice, 2017;Venkatesh and Vitalari, 1992). TASW refers to distributed work conducted outside regular work times and locations through organizational ICTs (Fenner and Renn, 2010). Specifically, TASW involves performing "role prescribed tasks at home after regular work hours with the aid of technological tools" (Fenner and Renn, 2010, p. 63). Research on TASW has suggested that the number of employees engaging in TASW is steadily increasing as technologies increase the temporal and spatial flexibilities of work (Eichberger et al., 2021(Eichberger et al., , 2022. There are several reasons for this assumption. First, there is a need to proactively engage with the visible information as the complexity and volume of knowledge and information requires workers to expand more resources (e.g. time and effort [possibly through supplemental work]) to make sense of, and act on, this knowledge. Leonardi (2014) argued that communication visibility may trigger behavioral changes, including proactive behaviors. Organizational members may feel a responsibility to keep up with the communication that is made visible to an extent that it may incentivize employees to extend their work practices after hours. Second, communication visibility creates opportunity. More communication visibility may make it easier to determine how to interact with other knowledge seekers and providers in the organization (Chen et al., 2020). This could enable organizational members to engage in supplemental work practices outside regular work times and spaces.
Finally, the availability of ICT may create pressure from an internal role modeling and competition standpoint. Ď uranov a and Ohly (2015) suggested that organizational ICTs may also contribute to TASW because organizational members may see similar behaviors by important social referents. Seeing the knowledge and networks of others may incentivize an organizational member to increase their knowledge and network base as well. Al-Madi et al.
(2017) described this motivational factor using a sport analogy: "where people running together will run faster than when running alone or running without the awareness of the pace of other runners." Hence, we suggest that the assumed relationship between communication visibility and communication overload is partly obtained by the extent to which dimensions of communication visibility lead to TASW. Hence: H4. The positive relationships between a) message transparency and b) network translucence with communication overload are positively mediated by TASW. Figure 1 portrays the hypothesized model.

Sample and procedure
Data were collected at a global company operating in the industrial machinery sector. The company operates in over 100 countries worldwide and supports their clients in optimizing cargo flows. They do so specifically by integrating intelligence and supporting digital transformations to better collaborate in daily operations and remotely support various cargo flows at sea, in ports and on roads. Employees rely on various ICTs to communicate and coordinate work across spatial and temporal boundaries. The company was approached by the researchers because the global nature of their operations and their recent investments in ICTs to support work process were particularly interesting to our investigation into issues related communication visibility.
By the end of 2019, the company, headquartered in one of the Nordic countries, employed approximately 12,500 employees, of which 8,834 were office (white-collar) workers. This includes software developers, project managers, finance experts, information management and (sales) consultants. As their work might be especially affected by varying degrees of communication visibility, these workers were approached to participate. The study was announced through internal communication channels, but respondents were invited through individual emails sent by the authors of the study. No compensation was offered for participating in the study. A total of 1,456 employees participated in the study, but after removing incomplete surveys and respondents that failed at least one of the attention checks, the final sample size was 1,127. This gives a response rate of 12.8%. The average age of the respondents was 43.9 years old (SD = 10.22), and the majority of the respondents were male 71.7% (n = 808) against 28.3% female respondents (n = 319). The respondents worked 39.35 h on average per week (SD = 11.05) divided over 4.48 workdays. The average organizational tenure was 7.58 (SD = 8.57). Subsequently, potential differences between the employees in our sample (N = 1,127) and those who were not (N = 7,708) were investigated using the company's human resource data. Employees in the sample were slightly older compared to the non-respondents ( Measures Table 1 provides an overview of all measurement items and the corresponding means, standard deviations, factor loadings, explained variances and standard errors.

Explanatory
Communication visibility refers to perceived message transparency and network translucence facilitated by organizational ICTs (Leonardi, 2014(Leonardi, , 2015. Message transparency was measured using three items adopted from van Zoonen and Sivunen (2020). A sample item is "I see what others are working on based on the information they exchange." Network translucence was also measured using three items derived from van Zoonen and Sivunen (2020). Sample items include, "I can see who my colleagues are connected with based on the information they share." Response options were anchored with (1) strongly disagree to (7) strongly agree.

Behavioral mediators
Vicarious learning is broadly defined as learning from the experience of others, as distinct from learning through one's own experience (experiential learning). Hence, vicarious learning refers to a process of individual belief and behavior change that occurs through being exposed (via observing or hearing) to, and making meaning of, another's experience (Myers, 2018). We adopted five items from Bresman (2010Bresman ( , 2013 to measure vicarious learning activities. Sample items include "I observe the work of others to extract lessons to be applied to the task." Responses were anchored with (1) strongly disagree to (7) strongly agree.
TASW was measured adopting the TASW measure from Fenner and Renn (2010). TASW refers to the extent to which employees engage in the completion of substantial work tasks through ICTs outside their regular work hours, such as on evenings or weekends, or locations, such as at home. Sample items include: "I feel organizational ICTs are helpful in enabling me to work at home at nights or on weekends." Respondents were asked to indicate the frequency with which they engaged in these work practices, ranging from (1) never to (5) always.

Work outcomes
Knowledge reuse refers to the ways in "which existing knowledge is brought to bear on the problem at hand" (Choi et al., 2010, p. 858;Durcikova et al., 2011). Knowledge application requires knowledge to be adapted and previously developed solutions to be applied  (Durcikova et al., 2011). We measured knowledge reuse using five items adopted from Choi et al. (2010) (representing what they called "knowledge application") and Durcikova et al. (2011) (representing what they called "solution reuse"). Sample items include "I apply knowledge I previously acquired through observation of others' online messages to solve new problems" and "When I solve problems I often rely on existing solutions." Responses were anchored with (1) strongly disagree to (7) strongly agree.
Communication overload refers to the extent to which the amount of communication becomes overwhelming. We adopted the four-item scale from Karr-Wisniewski and Lu (2010). Sample items include: "I often find myself overwhelmed because technology has allowed too many others to have access to my time." Responses were anchored with (1) strongly disagree to (5) strongly agree.

Analysis
Structural equation modeling (SEM) was used to test the hypothesized model. To gauge model fit, several fit indices were assessed. Two incremental fit indices are used: The Tucker-Lewis index (TLI) and the comparative fit index (CFI). Model fit indices of > 0.95 indicate good model fit. Two absolute fit indices are examined: a standardized version of the root mean squared residual (SRMR) and the root mean square of approximation (RMSEA), with cut-off values of 0.08 and 0.05, respectively, which indicate a close model fit (Hu and Bentler, 1999). In addition, the x 2 statistic is reported. To estimate model parameters and corresponding confidence intervals, 5,000 bootstrap samples were extracted from the data.
We note the potential threat of common method variance due to the single sourced data; however, Harman's single-factor test indicated that one factor explained only 24.5% of the total variance. Furthermore, we examined the shared variance among observed variables using a common latent factor analysis. This test indicated that the squared unstandardized factor loading (0.256) of the common latent factor is 0.066. Hence, common method variance is not a major issue in our data.

Measurement model
A confirmatory factor analysis was conducted to assess validity and reliability of the measurement model. The model fitted the data well: x 2 (234) = 731.78; CFI = 0.98; TLI = 0.97; SRMR = 0.04, PClose = 0.999 and RMSEA = 0.043 (CI: 0.040, 0.047). The composite reliabilities (CR: ranging between 0.85 and 0.93) and the maximum reliability (MaxR[H]: ranging between 0.86 and 0.97) are all above the suggested threshold of 0.70 (Hair et al., 2010). Validity was assessed by examining the average variance extracted (AVE) and the maximum shared variance (MSV) between constructs. The AVE's ranged between 0.59 and 0.74, all above the suggested 0.50 threshold. Discriminant validity is indicated when the square root of the AVE is greater than the inter-construct correlations (MSV); here the MSV ranged between 0.03 and 0.36 (Table 2). Hence, the measurement model demonstrates adequate reliability and validity, thus justifying further inspection of the structural model.

Structural model
In the analysis, we controlled for age, gender, work hours and organizational tenure. Including these variables demonstrated that age was significantly and  Table 3 provides standardized and unstandardized coefficients of hypothesis testing; the text below reports unstandardized coefficients. Figure 2 provides the standardized solutions for the hypothesized model.    Indirect effects (H3, H4). Message transparency is significantly and positively related to findings remind us that message transparency and network translucence are not uniformly beneficial as they may promote supplemental work processes and could contribute to communication overload (Chen and Wei, 2019).

Theoretical implications
We seek to make several contributions to the burgeoning research on communication visibility in organizations by examining the benefits and drawbacks of communication visibility (message transparency and network translucence). By quantitatively confirming some of the tenets of the emerging theory of communication visibility (Leonardi, 2014(Leonardi, , 2015, this study demonstrates that the relationship between message transparency and knowledge reuse is partially mediated through vicarious learning. These findings are in line with the notion that improved metaknowledge may lead to knowledge reuse at an organizational level. Our findings demonstrate that individual-level manifestations of knowledge and solution reuse can be ascribed directly to network translucence and both directly and indirectly to message transparency through vicarious learning. These findings provide a refined understanding of the implications of communication visibility for potential knowledge application and (re)use in organizations.
Interestingly, knowledge of organizational communication networksi.e. network translucenceis directly related to knowledge reuse, without mediation by vicarious learning. Knowing how organizational members are interlinked (network translucence) could help one understand through whom (including cross-boundary relationships) diverse and even peripheral knowledge is available. Thus, one might become more aware of the potential for re-using and adapting ideas and solutions from contexts outside one's own. Further, network translucence could facilitate following up on those interrelated paths, by means of providing initial "social lubrication" (Leonardi and Meyer, 2015), which makes it easier for one to contact otherwise unknown others for suggestions and resources. These findings highlight the importance of distinguishing between different aspects of communication visibility.
We also contribute to recent efforts by scholars to develop a greater understanding of the potential drawbacks of communication visibility (Chen et al., 2020), such as increased supplemental work through technology, and communication overload (Chen et al., 2020;Sun et al., 2020aSun et al., , 2020b. Our study generates a greater understanding of the mechanisms through which message transparency and network translucence may increase overload. We demonstrated that message transparency triggers overload in part to the extent that it first triggers TASW. Although supplemental work is not inherently good or bad, these work practices triggered especially by message transparency may in turn contribute to communication overload. Hence, we suggest that being able to see others' communication creates both a need and an opportunity to extend work practices after hours and outside the office as the visibility of this communication may facilitate competitive motivations, but also increases the criteria for satisfactory performance and responsiveness, both to coworkers and to clients (Mazmanian et al., 2013). Seeing the expertise and knowledge of others, as well as the activities other organizational members are engaging in, may motivate one to do the same, in particular through TASW. Thus, the findings confirm the availability pressure hypothesis proposed by Stephens et al. (2017) for message transparency, albeit not for network translucence.
Interestingly, the translucence of networks seems to reduce communication overload. Arguably, knowing how organizational communication networks are organized may help employees to exchange information more efficiently, thereby reducing perceptions of overload rather than increasing them. It may also be the case that knowing who else may have necessary resources could reduce the pressure on one to seek out those resources themselves, a central argument in transactive memory systems theory (Ren and Argote, 2011). This suggests that a better understanding of organizational communication networks may counteract the direct and indirect impact of message transparency on perceived communication overload.
In summary, the results indicate that the transparency of messages may have less unequivocal consequences depending on the extent to which it triggers vicarious learning and TASW. Interestingly, again in contrast to earlier findings by Zhao et al. (2020) and Yang et al. (2021). These findings are especially interesting considering that recent studies were unable to confirm a positive impact of network translucence on knowledge sharing (Zhao et al., 2020) or work efficiency (Yang et al., 2021).

Practical implications
From a pragmatic perspective, the findings have several implications. Our results partially challenge organizational efforts to push for improved communication visibility in anticipation of uniformly beneficial outcomes.
First, we provide a more nuanced understanding of the implications of the two dimensions of communication visibility for outcomes. Organizations seeking to enhance communication visibility to contribute to organizational learning and performance objectives should be wary of potential drawbacks of improved communication visibility, due partially to escalating pressure for continual and rapid engagement (Chen and Wei, 2019;Mazmanian et al., 2013). Our study adds that these drawbacks are mostly associated with message transparency. It may not, in the long run, be completely beneficial to expose everyone to everyone else's work content and progress.
By contrast, network translucence seems to have mostly positive consequences, increasing knowledge reuse while reducing overload. As such, organizations adopting strategies to facilitate communication visibility should focus on enhancing organizational members' understanding of the relevant communication networks in the organizations and expand efforts to mitigate the potentially negative impact of increased message transparency. Acknowledging the potential pitfalls of increased visibility may prove to be a valuable intervention to reduce the drawbacks of visibility as it may help in developing a norm to break availability-expectation-pressure patterns (Mazmanian et al., 2013;Stephens et al., 2017). Many of the organizational ICTs that facilitate communication visibility, including enterprise social media, also afford ways to manage and limit different aspects of visibility while emphasizing others. For instance, notifications could be set to focus on communicating who interacted with whom, rather than what was communicated between users. Online communities can provide quick overviews of active members without a need to make all communication within the community visible. Content moderation on knowledge sharing platforms or social media can contribute to mitigating the potential for information to become overwhelming by pinning certain contributions or solution, archiving and organizing content.
Second, this study has demonstrated two important behavioral responses to communication visibility that partly or fully explain the implications for knowledge reuse and overload: vicarious learning and TASW. Interestingly, these changes are triggered by transparency, but not by translucence (as translucence directly impacts knowledge reuse and while directly reducing overload). Hence, facilitating an understanding of others' knowledge in organizations might trigger both benefits and drawbacks. Of increasing importance in organizations is to help employees manage their connectivity behaviors. With increased flexibility over work times, global work contexts, remote work and social distancing, employees may find themselves in a difficult position of trying to maintain sufficient and expected connection with their coworkers and organizations while trying to avoid supplemental work and overload. The visibility of others' knowledge may further exacerbate employees' efforts in an attempt to make their work and knowledge visible to others potentially at the cost of increased supplemental work and consequentially increased communication overload. In turn, improved translucence contributes to a better understanding of where and how to solicit help from coworkers, contributing to a better organizational support system.

Limitations and future research
Several limitations of the study need to be acknowledged. First, the cross-sectional and single sourced data limits our opportunities to draw stronger causal conclusions. Future research may address this limitation by drawing on longitudinal research designs and using behavioral trace data to explore what communication has become visible in which ways. Additionally, such a research design might provide greater insights into the conditions under which communication visibility and organizational ICT use might lead to TASW and communication overload.
Second, we measured the extent to which others' knowledge and connections were visible to our respondents. Future research could also include measures to evaluate the accuracy or usefulness of the knowledge employees may perceive through or obtain from visible communication. Arguably, the value of knowledge is more important to organizational learning outcomes than is its visibility per se. However, knowledge must be visible before it can be evaluated. Further, visibility, availability and the pace of information might more strongly affect perceptions of overload than would accuracy of that information. The value of that shared knowledge can also be affected by recipient's perceived novelty of and confidence in the shared knowledge (Nair et al., 2021).
Third, of course, the extent and implications of knowledge sharing are affected by a wide variety of other factors (Rice et al., 2019). Two examples include the social context (e.g. support or conflict) with one's co-workers (Kim, 2020), or the sphere of visibility; Sedighi et al. (2018) reported that group-level sharing facilitated greater quality and quantity of knowledge sharing than at private or public organizational levels.
Finally, although this study contributes to communication visibility theory, "a good deal of work is needed to refine this theory" (Leonardi, 2014, p. 814). The findings confirm some of the positive implications of communication visibility for organizational learning and knowledge reuse but also point to drawbacks of visibility such as communication overload. Such drawbacks warrant further attention. For instance, we acknowledge that some researchers have explored dark sides of communication visibility, suggesting that employees may choose to actively hide knowledge. Indeed, several studies on organizational innovation have pointed to the importance of secrecy and "bootlegging" for the generation and development of creativity and innovation (Criscuolo, et al., 2014;Donada, et al., 2021;Globocnik and Salomo, 2015). Individuals exploring uncharted territories in their attempt to come up with creative ideas or innovative solutions benefit from keeping their initial efforts under the radar as this could delay scrutiny and assessment of embryonic ideas and allow them to develop in "secrecy" (Criscuolo, et al., 2014). This would suggest that in the context of innovation, future work could further explore the dark sides of communication visibility for creative performance and innovation in organizations.

Conclusion
The findings of this study provide novel and important insights in the ways in which communication visibility may have consequences for how work is conducted and the outcomes associated with that work. Hence, the study provides important refinements of the proposed theory of communication visibility (Leonardi, 2014) and generates actionable insights for organizations that seek to streamline the application of organizational ICTs aimed at improving communication visibility. This study underscores both benefits and drawbacks of message transparency and network translucence.