Contextualizing the Adoption of Electric Collaboration Tools: System and Team Considerations

This study suggests that individuals’ technology adoption decisions in the context of online collaboration tools are based on individual-level assessments of the technology, as well as on group-level attributes of the team with which one needs to work. Thus, a multilevel model of online collaboration technology adoption is proposed and tested, using hierarchical linear modeling techniques applied to a sample of 96 individuals who were nested in 34 virtual teams. Our findings suggest that a team member’s perceptions regarding the usefulness of an online collaboration tool positively affect his or her behavioral intentions to use this tool in a similar context in the future. Furthermore, after controlling for individual level perceived usefulness, group potency, as a team-level concept, incrementally and positively affected team members’ intentions to use the online collaboration technology with a similar team in the future. Some implications and future research directions are discussed

Towards a Model of Collaborative Intention: An Empirical Investigation of a Massive Online Open Course (MOOC)

Disentangling factors that affect one’s intention to collaborate is an important endeavor for management education, especially for globally dispersed groups of students. Drawing on a synthesis of four theories, we advance a model of collaboration intentions that embodies both individual and communal level drivers of individuals’ intention to participate in virtual collaboration. The model is validated based on data collected from 2,517 participants in a Massive Online Open Course (MOOC). Results demonstrate that attitudes towards virtual collaboration are predicted by both collaborative outcome expectancy and communal support expectancy. Additionally, we reveal that collaborative outcome expectancy is predicated on individuals’ belief about his/her ability to collaborate whereas communal support expectancy is impacted by the individual’s perception of communal influence

Overview of the Multilevel Research Perspective: Implications for Theory Building and Empirical Research

A multilevel perspective in information systems (IS) research helps researchers to understand phenomena simultaneously at multiple levels of analysis. In understanding and employing the multilevel perspective, researchers may face challenges in relation to the value contribution, the terminology, and the critical differences between multilevel and single-level research. To address the challenges, we synthesize contemporary thinking on the multilevel perspective. In particular, we clarify the various value contributions of the multilevel perspective, offer a consistent terminology for conducting multilevel research, and holistically overview the guidelines in relation to specifying, operationalizing, and testing theoretical models. This tutorial helps researchers to holistically understand the multilevel perspective to allow them to more deeply appreciate the nuanced assumptions underlying the perspective. Thus, this paper contributes by helping researchers to more effectively and more flexibly engage in multilevel research

Specifics of Collaboration in Virtual Reality: How Immersion Drives the Intention to Collaborate

Collaborative virtual reality (VR) is increasingly receiving attention, but the effects of context- specific variables and the interplay of telepresence, interactivity, and immersion as VR’s distinctive characteristics in such settings are little understood. Besides these three VR characteristics, we investigate in a quantitative study with 102 participants the influence of social presence, i.e. the sense of community; media naturalness, or the similarity of communication to face-to-face-interaction; and trust between users. Based on partial least squares structural equation modeling, we confirm the importance of interactivity and immersion, but not of telepresence. Moreover, we find that trust is essential for collaborative VR experiences, but social presence and media naturalness seem negligible. Finally, we show that immersion is a main driver of users’ intention to collaborate. Besides providing practitioners with insights for creating VR experiences, our study highlights that findings from research on individual VR use are not readily transferable to collaborative contexts

Climate action through transnational city networks : lessons from Oslo

Cities have emerged as imperative actors in the global effort to address climate change, independently and collectively in transnational city networks. This study delves into Oslo's ambitious climate goals, analyzing its climate initiatives and collaborations with transnational city networks. Oslo's commitment to significantly reduce its greenhouse gas (GHG) emissions—targeting a 95 % cut by 2030—is supported by a polycentric multilevel governance approach, engaging actors from various sectors, including international entities. These collaborative dynamics have positioned Oslo as an international climate-leading city, particularly within networks like C40 and Eurocities. Political leadership, especially from the Red Green Coalition, has accelerated the city's climate strategy by pushing forward the original target from 2050 to 2030. Instrumental tools like the Climate Budget have been central to these efforts, ensuring that climate considerations are consistently integrated across sectors. Oslo's leadership in a pilot project with the C40 network on implementing climate budgets and its ambitions for a zero-emission zone underscores the city's active standpoint on climate issues. While some projects face challenges, notably from national regulations, Oslo continues to innovate, focusing on sectors like construction and public transportation. The study concludes that while Oslo offers valuable insights for global urban climate action, the transferability of its strategies requires an understanding of the specific institutional settings of other cities.M-I

Enhancing Patient Physician Communication with Electronic Symptom Reporting (ESR): A Multilevel Model

This article describes the development of a multilevel theoretical model, which explains electronic symptom reporting (ESR) in the context of chronic disease management. ESR entails the use of patient-held technologies, such as electronic personal health records (ePHRs), for recording patient symptom data so that the information can be transmitted to a physician for interpretation. As patient recall of symptoms is critical to treatment effectiveness, ESR offers several advantages over traditional symptom reporting methods. The patient has the ability to conveniently collect symptom data, which can subsequently be viewed by the physician in an interpretable and relevant manner. This article proposes a theoretical model, which integrates the perspectives of both patient and physician, in order to inform theory development in this area

THE COLLECTIVE VIOLATION TALK SHOW: HOW DO WORKGROUPS ACCOUNT FOR CYBERDEVIANCE?

Cyberdeviance within workgroups is one of the most challenging cybersecurity problems facing modern organizations. Cyberdeviance is an intentional form of security policy violation, reflecting the outcome of a justification process deeming the violation acceptable for the violator. The collective nature of cyberdeviance within groups increases the challenge because group context can steer members to act in accordance with the group’s decisions, even when it violates organizational directives. Despite these challenges, we know very little about how workgroups justify cyberdeviance. We ask: How do workgroups create and validate accounts for cyberdeviance? Guided by the theoretical lens of accounts and based on insights from five deviant workgroups using unauthorized technologies (aka, shadow IT), our analysis points to three core findings. First, the group context is crucial to understanding the violation framing process. Second, at the discursive level, the groups use a unique set of verbalizations that deem cyberdeviance acceptable within the group. Third, we found that this set of verbalized accounts is instrumental to ensure group cohesion and belongingness. We discuss the theoretical and practical implications of these novel insights

Cognitive Absorption and Trust for Workplace Collaboration in Virtual Worlds: An Information Processing Decision Making Perspective

Virtual worlds (VWs) are media-rich cognitively engaging technologies that geographically dispersed organizations can use as a cost effective workplace collaboration tool. Using an information processing decision making perspective and building on unique characteristics of VWs, this paper proposes a nomological net for adaptive use intention (AUI) of VWs for workplace collaborations. AUI implies intention to use a technology in a setting different from the one for which it was initially designed. We study the AUI of VWs as a workplace collaboration tool which were originally conceived as recreational gaming platforms. Decision-making literature directs us to reduction of perceived cognitive burden and minimization of risk as the two key motivations for VWs’ AUI. Building on these motivations, the paper identifies cognitive absorption and user trust in VWs as the mechanisms leading to individual-level AUI decision. Drawing on social cognitive theory and literature on trust, the proposed model not only re-specifies the concept of cognitive absorption in the context of VWs but also relates it to the level of trust and usage intention for VWs. We empirically tested the proposed model via data collected from 197 VW users in Singapore. Results demonstrate the significant roles that cognitive absorption’ and user trust play in VW’s usage as a collaboration tool. Further, through a series of post-hoc analyses, we demonstrate the imperative need for considering both cognitive absorption and user trust together in the proposed research model for theoretical parsimony. We also discuss implications for research and practice emerging out of this study

Why Don’t You Use It? Assessing the Determinants of Enterprise Social Software Usage: A Conceptual Model Integrating Innovation Diffusion and Social Capital Theories

Social software has recently attracted the attention of organizations. Nowadays organizational social software applications are often bundled within enterprise social software platforms (ESSPs). Given the popularity of social software in the private realm (e.g., Facebook), organizations expect their employees to use the ESSPs in the same frequency right after rollout. However, employees do not always meet this expectation, leading to internal social software platforms that starve for attention. While there is some research investigating users’ motives to adopt social software in the private realm, empirical research on social software adoption in an enterprise setting is still scarce. As a step towards closing this research gap, we collected a rich set of qualitative data aiming at investigating the determinants of employees’ ESSP usage. Based on theory and the collected qualitative data, this paper proposes a conceptual ESSP adoption model combining the theoretical perspectives of innovation diffusion theory and social capital theory

Effectiveness of Corporate Social Media Activities to Increase Relational Outcomes

This study applies social media analytics to investigate the impact of different corporate social media activities on user word of mouth and attitudinal loyalty. We conduct a multilevel analysis of approximately 5 million tweets regarding the main Twitter accounts of 28 large global companies. We empirically identify different social media activities in terms of social media management strategies (using social media management tools or the web-frontend client), account types (broadcasting or receiving information), and communicative approaches (conversational or disseminative). We find positive effects of social media management tools, broadcasting accounts, and conversational communication on public perception