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This paper aims to explore key collaboration technology affordances from virtual collaboration and remote work during the time of COVID-19. The purpose of this exploration is to improve the understanding of technology-supported collaboration in order to achieve individual and organizational success with the adoption, use and implementation of virtual collaboration in a pandemic and post-pandemic world.

Qualitative data is collected from 55 graduate students during a time of work transition due to COVID-19. This paper distills key collaboration technology affordances identified from participant feedback.

This paper identifies topics of virtual collaboration success as well as challenges related to organizational transitions during COVID-19. The findings from this work relate to four collaboration technology affordances including: (1) flexibility and productivity, (2) social connectedness and organizational culture, (3) technology support and (4) management and leadership. Additionally, this research provides insight into the complexities of virtual collaboration in these areas while also making recommendations for the post-pandemic future.

This research makes a contribution through the analysis of a unique set of data elaborating on participant experiences during a global pandemic as well as through the exploration of future implications.

This study aims to take a step toward integrating research regarding the image, role and identity of management accountants by understanding how employers’ perceptions of the ideal management accountant image differ from operational managers’ perceived role expectations, how management accountants perceive their identity and how those factors shape management accountants’ understanding of who they are and want to be.

A qualitative design draws upon the case company’s 100 job advertisements and 31 semi-structured interviews with management accountants and operational managers. Those data are entwined with role theory and its core concepts of expectations and identities and also early recruitment-related theoretical aspects such as image and employer branding.

The findings reveal how employers’ perceptions of the ideal image and operational managers’ role expectations shape and influence the identity of management accountants. However, management accountants distance themselves from a brand image and role expectations. They experience identity conflict between their current and desired identity, the perception of not being able to perform the currently desired role. Although this study presents some possible reasons and explanations, such as employer branding for the misalignment and discrepancy between perceptions of employer (image), expectations of operational managers (role) and management accountants’ self-conception of the role (identity), this study argues that the identity of a management accountant results from organizational aspects of image and role and individual aspects of identity.

Image and external role expectations can challenge identity construction and also serve as a source of conflict and frustration; thus, a more comprehensive approach to studying the identity of management accountants is necessary to understand what contributes to the fragility of their identity.

The results provide an understanding of the dynamics of the image, role and identity to support management accountants and employers and to further address the suggested dissonance and ambiguities.

This study contributes by showing how the dynamics and connections between the image, role and identity influence the identity construction of management accountants. Moreover, this study shows how overpromising as a part of employer branding might not reflect the reality experienced by management accountants but may cause frustration and threaten the management accountants’ identity.

This conceptual work examines how, in times of post-COVID-19 paradigm shift, the employee performance management (PM) process can help multinational corporations (MNCs) strengthen their talent management and, at the same time, meet their future needs.

We take a conceptual approach and present our perspective on what we see as the most critical trends shaping PM and talent management. Contingency theory and Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) theory provide a sound theoretical framework for understanding and responding to the complex and rapidly changing business context post-COVID-19.

Drawing on these theories, we create a framework providing a means of understanding why and how MNCs can maintain talent and, at the same time, develop new talent through the PM process.

Importantly, our study emphasizes the critical role that project management and talent management techniques play for both practitioners and scholars. In order to gain and sustain a competitive edge in the ever-changing VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) landscape, these processes necessitate ongoing reassessment and adaptation. As Plato eloquently stated, “Our Need Will Be the Real Creator,” encapsulating our vision for the proactive and dynamic nature of effective project management and talent management practices.

The study establishes the benefits of an agile and flexible PM approach to help develop talent and pave the way for future research in this increasingly critical area

The purpose of this study is to deepen understanding of the effects of using social media technologies to acquire technological knowledge and organizational learning competences, of technological knowledge competences on organizational learning and finally of organizational learning on organizational performance.

The study was performed by analyzing data from a sample of 197 technology firms located in Spain. The hypotheses were tested using a structural equations model with the program LISREL 8.80.

This study’s conceptual framework is grounded in complexity theory – along with dynamic capabilities theory, which complements the resource-based view. The study contributes to the literature by proposing a model that reflects empirically how business ecosystems that use social media technologies enable the development of interorganizational and social collaboration networks that encourage learning and development of technological knowledge competences.

It would be interesting for future studies to consider other elements to conceptualize and measure social media technologies, including (among others) significance of the various tools used and strategic integration. The model might also analyze other sectors and another combination of variables.

The results of this study have several managerial implications: developing social media technologies and interorganizational social collaboration networks not only enables the organizational learning process but also encourages technological knowledge competences. Through innovation processes, use of social media technologies also contributes to strengthening companies’ strategic positioning, which ultimately helps to improve firms’ organizational performance.

Since social media technologies drive information systems in contemporary society (because they enable interaction with numerous agents), the authors highlight the use of complexity theory to develop a conceptual framework.

The study also deepens understanding of the connections by which new experiential learning contributes to the generation of coevolutionary adaptive business ecosystems and digital strategies that enable development of interorganizational and social collaborative networks through technological knowledge competences. Only after examining the impact of social media technologies on organizational performance in prior literature, did the authors underscore that both quantity and frequency of social media technology use are positively related to improvement in knowledge processes that lead to employees’ creation and acquisition of new metaknowledge.

This research aims to identify the optimal configuration of investment which leads firms to their best competitive positions, considering the degree of concentration in the market.

The methodology was quantitative and based on secondary data with samples of 124, 106 and 90 firms from competitive environment classified as perfect competition, monopolistic competition and oligopoly, respectively. Proposed models' parameters were estimated by means of genetic algorithms.

Adjustments on firm's investment are contingent on the degree of competition they face. Results are in line with existing academic research affirmation that the purpose of investments is to create and exploit opportunities for positive economic rents and that investments allow firms to protect from rivals' competitive actions and reinforce the need for investment decision makers to consider the environment in which the firm is competing, when defining the amount of investment that must be done to achieve and maintain a favorable competitive advantage position.

This research brings two main original contributions. The first one is the identification of the optimal amount of capital and R&D investments which leads firms to their best competitive positions, contingent to the degree of concentration of the competitive environment in which they operate, and the size of the firm. The second one is related to the use of genetic algorithms to estimate optimization models that considers the three competitive environments studied (perfect competition, monopolistic competition and oligopoly) and the investment variables in the linear and quadratic forms.