Generative mechanisms of workarounds, discontinuance and reframing: a study of negative disconfirmation with consumerised IT

Artificial Intelligence and Groups: Effects of Attitudes and Discretion on Collaboration

We theorize about human-team collaboration with AI by drawing upon research in groups and teams, social psychology, information systems, engineering, and beyond. Based on our review, we focus on two main issues in the teams and AI arena. The first is whether the team generally views AI positively or negatively. The second is whether the decision to use AI is left up to the team members (voluntary use of AI) or mandated by top management or other policy-setters in the organization. These two aspects guide our creation of a team-level conceptual framework modeling how AI introduced as a mandated addition to the team can have asymmetric effects on collaboration level depending on the team’s attitudes about AI. When AI is viewed positively by the team, the effect of mandatory use suppresses collaboration in the team. But when a team has negative attitudes toward AI, mandatory use elevates team collaboration. Our model emphasizes the need for managing team attitudes and discretion strategies and promoting new research directions regarding AI’s implications for teamwork.

Making sense of business analytics in project selection and prioritisation: insights from the start-up trenches

Purpose

The study aims to provide insights in the sensemaking process and the use of business analytics (BA) for project selection and prioritisation in start-up settings. A major focus is on the various ways start-ups can understand their data through the analytical process of sensemaking.

Design/methodology/approach

This is a comparative case study of two start-ups that use BA in their projects. The authors follow an interpretive approach and draw from the constructivist grounded theory method (GTM) for the purpose of data analysis, whereby the theory of sensemaking functions as the sensitising device that supports the interpretation of the data.

Findings

The key findings lie within the scope of project selection and prioritisation, where the sensemaking process is implicitly influenced by each start-up's strategy and business model. BA helps start-ups notice changes within their internal and external environment and focus their attention on the more critical questions along the lines of their processes, operations and business model. However, BA alone cannot support decision-making around less structured problems such as project selection and prioritisation, where intuitive judgement and personal opinion are still heavily used.

Originality/value

This study extends the research on BA applied in organisations as tools for business development. Specifically, the authors draw on the literature of BA tools in support of project management from multiple perspectives. The perspectives include but are not limited to project assessment and prioritisation. The authors view the decision-making process and the path from insight to value, as a sensemaking process, where data become part of the sensemaking roadmap and BA helps start-ups navigate the decision-making process.

Shared mental models and perceived proximity: a comparative case study

Purpose

The aim of this study is to understand how virtual teams experience perceived proximity. Existing literature suggests that perceived proximity can be achieved through quality communication and increased identification. However, not much is known as to how these two may be achieved within the context of virtual teams.

Design/methodology/approach

The authors address their research question through a comparative case study, with the help of two virtual teams of software developers and the authors adopt a subset from the Constructivist Grounded Theory Method procedures for the purposes of coding to understand the potential explanations regarding the two teams' differences in perceptions of perceived proximity.

Findings

The authors’ study shows that shared mental models support quality communication and team members to identify with the shared values of their team. Quality communication is easier achieved when the team shares a dynamic and evolving understanding of the tools for communication and collaboration. The authors also draw attention to the importance of how work is organised and the influence of the temporal dimension on virtual teams beyond the temporal organisation of collaborative work.

Originality/value

The value of this study is found in its contribution towards the development of a formal connection between perceived proximity and shared mental models, that is empirically grounded, and which holds an explanatory value in addressing how perceived proximity can be supported rather than compromised.