Intention to Collaborate: Investigating Online Collaboration in Virtual Teams

The emergence of online tools supporting collaboration has allowed more people to work together online. Virtual team members are expected to collaborate in order to solve predefined problems. Several factors influence a virtual team member intention to collaborate. In this paper, a conceptual model and a measurement scale are derived from previous literature on online collaboration and virtual teams and have been pretested to refine the derived scale items. The scale under development makes important contributions to both research and practice. For research, it will provide a validated scale to measure intention to collaborate, which will support further research in this field. For practice, it will help identify what contributes to a team member\u27s intention to collaborate; this can assist practitioners in establishing virtual teams within their organizations

The Effects of Communication, Knowledge Sharing, and Trust on Agile Virtual Team Effectiveness

Ongoing globalization and the evolution of technology in the workplace reinforce the need for virtual teamwork. Individuals working together across the globe comprise virtual teams. Many teams across industries value and use agile methodology to manage their projects. Research shows that agile virtual teams face challenges based on social and organizational problems such as lack of trust, knowledge sharing, and suitable communication. Therefore, this quantitative study aimed to address a gap in the current literature on the effect that communication, trust, and knowledge sharing have on agile virtual team effectiveness. Additionally, the aim was to determine the moderating effect of trust on the relationship between communication, knowledge sharing, and agile virtual team effectiveness. Data were collected from 119 agile virtual team members working around the world for any organization headquartered in the United States. Binary logistic regression was conducted to examine the relationship between trust, communication, knowledge sharing, and team effectiveness. Communication and knowledge sharing were found to be significant predictors of team effectiveness, whereas trust was not. Communication moderated by trust was not a significant predictor of team effectiveness. Knowledge sharing moderated by trust was not a significant predictor of team effectiveness. Trust was not a significant moderator of the relationship between communication, knowledge sharing and team effectiveness. Strategies that make agile virtual teams successful are chief in stabilizing the global economy and may lead to positive social change. This study can further inform research on helping agile virtual teams thrive to sustain continuous improvement of the global economy

Promising Practices for Leading Virtual Teams

Extension professionals are increasingly participating in virtual work. Leading these new virtual teams presents challenges to building relationships within the teams, establishing trust, and communicating effectively. As the national project leader of the Military Families Learning Network, I share promising practices developed over 8 years of virtual work delivering online professional development for professionals who assist military families, including Extension professionals

Trust: The Enabler of Knowledge-sharing Culture in an Informal Setting

Trust in an organization has been perceived as one of the key factors behind knowledge sharing mainly in an unstructured work environment. The study developed a framework for building trust in knowledge sharing in a virtual environment. The artifact called KAPE (Knowledge Acquisition, Processing, and Exchange) was developed to facilitate knowledge sharing using a web-based platform for Cassava farmers. A survey was conducted, data were collected from 382 farmers from 21 farming communities. Multiple regression techniques, Cronbach’s Alpha reliability test; Tukey’s Honestly significant difference (HSD) analysis; one-way Analysis of Variance (ANOVA) and trust acceptable measures (TAM) were used to test the hypotheses. The results show a significant difference when there is trust in knowledge sharing between farmers, those who have high trust levels of trust were differed in the model (M = 3.66 SD = .93) from with low trust acceptable values (M = 2.08 SD = .28), (t (48) = 5.69, p = .00). Furthermore, using the Cognitive Expectancy Theory showed that farmers with cognitive-consonance exhibited a higher level of trust and satisfaction with knowledge and information from KAPE, as compared with a low level of Cognitive-dissonance. These results imply that the adopted trust model (KAPE) shows a positive improvement in knowledge sharing activities in an informal environment amongst rural farmers

A Conceptual Management Model of Virtual Project Team in International Companies

Globalisation and technological advancement have an enormous impact on how businesses operate. Technological evolution, economic challenges, and different generations working in one workforce impact businesses to seek flexibility and adopt techniques that support virtual teamwork. In the modern international business environment increasing number of teams that work in virtual environments through project execution, leads to the need for theory and research on how successfully manage virtual project teams. In this paper the analysis of the scientific literature allowed to formulate the definition of a virtual project team, the analysis was able to show the management aspects, which are related to the features of the virtual project team, review of scientific literature also let to disclose the emerging problems faced by managers. These results were used to conceptualise the virtual project team management model in international companies

Designing Digital Workplaces: A Four-Phase Iterative Approach with Guidelines Concerning Virtuality and Enterprise Integration

Background: The current workforce comprises individuals with varied characteristics and work expectations. Consequently, many companies are currently investing resources to design effective work environments with the aim of enhancing their ability to retain top talent. Method: We conducted a Systematic Literature Review (SLR) to investigate how organizations can design effective digital workplaces for their workforce. Results: Our primary contributions encompass a definition of a digital workplace rooted in literature, and a four-phase iterative approach for crafting a digital workplace. This includes a comprehensive set of actionable guidelines for each phase, which were previously dispersed within existing literature. Additionally, we introduce a rubric for assessing Enterprise Integration, employed in conjunction with Virtuality Level to characterize various workplace configurations. Finally, we have also listed a set of additional research gaps and promising avenues for researchers interested in this field. Conclusion: In response to new challenges, companies must reassess their current workplace arrangements, specifically in light of a workforce that increasingly prioritizes flexible work options. This endeavor is most effectively achieved by taking into consideration a set of actionable guidelines that account for various typologies of digital workplaces. These guidelines should be considered when designing work arrangements that seamlessly integrate processes, individuals, and technology. Surprisingly, such an approach is yet to be explored in existing literature

Leveraging Intellectual Capital Management in Virtual Teams: What the Covid-19 Pandemic Taught Us

This study undertakes a review of the scientific literature on the role and impact of Intellectual Capital (IC) with all its components (human, structural and relational capital) on Virtual Team (VT) work. As already proven in the discipline research, IC as a summum of organizational knowledge resources plays a fundamental role in the knowledge economy in sustaining competitive advantage, innovation and performance. Despite an abundance of papers investigating VTs from both a theoretical and empirical perspective, a surprising discovery has been made during this research. The extent of work dedicated to analysing the relationships between IC and VTs is minimal, notwithstanding the unprecedented expansion of the use of VTs since the beginning of the Covid-19 pandemic. Following a first review of the extant literature regarding IC and VTs, a second literature review has been conducted for the benefit of revealing crucial aspects and the newest best practices in what concerns work in VTs. In doing so, the authors attempt to draw attention to the need for in-depth researches in the IC field, to catch up with the business, economic and societal most recent developments. Furthermore, this study aims to provide the practitioners with up-to-date, concise knowledge on the practical aspects relevant for the work in VTs

Designing Digital Workplaces: A Four-Phase Iterative Approach with Guidelines Concerning Virtuality and Enterprise Integration

Background: The current workforce comprises individuals with varied characteristics and work expectations. Consequently, many companies are currently investing resources to design effective work environments with the aim of enhancing their ability to retain top talent. Method: We conducted a Systematic Literature Review (SLR) to investigate how organizations can design effective digital workplaces for their workforce. Results: Our primary contributions encompass a definition of a digital workplace rooted in literature, and a four-phase iterative approach for crafting a digital workplace. This includes a comprehensive set of actionable guidelines for each phase, which were previously dispersed within existing literature. Additionally, we introduce a rubric for assessing Enterprise Integration, employed in conjunction with Virtuality Level to characterize various workplace configurations. Finally, we have also listed a set of additional research gaps and promising avenues for researchers interested in this field. Conclusion: In response to new challenges, companies must reassess their current workplace arrangements, specifically in light of a workforce that increasingly prioritizes flexible work options. This endeavor is most effectively achieved by taking into consideration a set of actionable guidelines that account for various typologies of digital workplaces. These guidelines should be considered when designing work arrangements that seamlessly integrate processes, individuals, and technology. Surprisingly, such an approach is yet to be explored in existing literature

Data Mining Algorithms Predicting Different Types of Cancer: Integrative Literature Review

Based on the World Health Organization, cancer is the second leading cause of death globally and is responsible for an estimated 9.6 million deaths in 2018. Globally, about 1 in 6 deaths is due to cancer, and approximately 70% of deaths from cancer occur in low and middle-income countries. with accelerating developments in technologies and the digitization of healthcare, a lot of cancer\u27s data have been collected, and multiple cancer repositories have been created as a result. cancer has become a data-intensive area of research over the last decade. A large number of researchers have used data mining algorithms in predicting different types of cancer to reduce the cost of tests used to predict different types of cancer, especially in low and middle-income countries. This paper reports on a systematic examination of the literature on data mining algorithms predicting different types of cancer through which we provide a thorough review, analysis, and synthesis of research published in the past 10 years. We follow the systematic literature review methodology to examine theories, problems, methodologies, and major findings of related studies on data mining algorithms predicting cancer that were published between 2009 and 2019. Using thematic analysis, we develop a research taxonomy that summarizes the main algorithms used in the existing research in the field, and we identify the most used data mining algorithms in predicting different types of cancer. In addition, to data mining algorithms used in predicting each type of cancer, as mentioned in the reviewed studies. We also identify the most popular types of cancer that researchers tackled using predictive analytics

The Role of Knowledge Control and Knowledge Asymmetry in Trusting and Collaborating with AI-Teammates

There is an extensive literature that facilitates our understanding of how new information technologies are adopted and accepted. However, there is little empirical work that studies how innovative technologies such as Artificial Intelligence (AI) agents can be team-players with humans in the workplace. Using Actor-Network Theory, this research-in-progress work proposes a new conceptual model that aims to aid our understanding of how human perceptions regarding the asymmetry they perceive between their knowledge and that of their AI teammates and their ability to retain control over the knowledge they share with AI teammates on their level of trust in AI teammates and their willingness to collaborate with them. A 2X2 scenario-based survey study will be conducted and structural equation modeling will be used to empirically validate this model. Potential contributions to theory and practice are discussed