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The purpose of this study is to explore the process of initial sensemaking that organizational members activate when they reflect on AI adoption in their work settings, and how the perceived features of AI technologies trigger sensemaking processes which in turn have the potential to influence workplace learning modes and trajectories.

We adopted an explorative qualitative and interactive approach to capture free fantasies and imaginative ideas of AI among people within the industry. We adopt a conceptual perspective that combines theories on initial sensemaking and workplace learning as a theoretical lens to analyze data collected during 23 focus groups held at four large Swedish manufacturing companies. The data were analyzed using the Gioia method.

Two aggregated dimensions were defined and led to the development of an integrated conceptualization of the initial sensemaking of AI technology adoption. Specifically, sensemaking triggered by abstract features of AI technology mainly pointed to an exploitative learning path. Sensemaking triggered by concrete features of the technology mainly pointed to explorative paths, where socio-technical processes appear to be crucial in the process of AI adoption.

This is one of the first studies that attempts to explore and conceptualize how organizations make sense of prospective workplace learning in the context of AI adoption.

Purpose: The research investigates the presence of technology ideologies in consumer discourse on tourism and hospitality robots.

Design/methodology/approach: Using a netnographic approach, the research involved immersion in online discourses and collection of consumer posts from a variety of social media platforms. Data was subjected to a thematic analysis informed by the technology ideology framework described in the literature review.

Findings: Online consumer narratives about tourism and hospitality robots are dynamic and varied and reveal a multitude of technology ideology-related positions. The research confirms the applicability of the technology ideology framework to online discourses on service robots and finds that anthropomorphism triggers additional concerns.

Research implications: The findings suggest that future research on the acceptance and use of service robots should go beyond psychological concepts.

Practical implications: Without uncovering and understanding technology sensemaking processes with respect to service robots, the introduction of service robots in hospitality and tourism might trigger consumer resistance or lead to inferior service experiences.

Social implications: The research suggests that sensemaking of technology, specifically service robots, is complex and colored by pertinent ideologies. Policies and regulations regarding service robot adoption and implementation should consider these various positions.

Originality/value: The paper introduces technology sensemaking and technology ideology as important theoretical frameworks to understand consumer perceptions, attitudes, uses and relationships in regard to service robots in hospitality and tourism contexts.

We examine how interpersonal behavior and social interaction influence team sensemaking and subsequent team actions during a hospital-based health information technology (HIT) implementation project.

Over the course of 18 months, we directly observed the interpersonal interactions of HIT implementation teams using a sensemaking lens.

We identified three voice-promoting strategies enacted by team leaders that fostered team member voice and sensemaking; communicating a vision; connecting goals to team member values; and seeking team member input. However, infrequent leader expressions of anger quickly undermined team sensemaking, halting dialog essential to problem solving. By seeking team member opinions, team leaders overcame the negative effects of anger.

Leaders must enact voice-promoting behaviors and use them throughout a team’s engagement. Further, training teams in how to use conflict to achieve greater innovation may improve sensemaking essential to project risk mitigation.

Health care work processes are complex; teams involved in implementing improvements must be prepared to deal with conflicting, contentious issues, which will arise during change. Therefore, team conflict training may be essential to sustaining sensemaking.

Future research should seek to identify team interactions that foster sensemaking, especially when topics are difficult or unwelcome, then determine the association between staff sensemaking and the impact on HIT implementation outcomes.

We are among the first to focus on project teams tasked with HIT implementation. This research extends our understanding of how leaders’ behaviors might facilitate or impeded speaking up among project teams in health care settings.

Marion has just taken on the directorship of a joint university/public library. You, as her protégé, are interested in observing how she approaches the new venture. You are curious about what information she will gather, whose advice she will seek, how she will figure out the expectations others have of her and the library, how she will prioritize the many challenges before her, and how she will negotiate her leadership role with the staff. In other words, you want to study Marion's organizational sensemaking.

This paper aims to study the evolution of definitions of internet of things (IoT) through time, critically assess the knowledge these definitions contain and facilitate sensemaking by providing those unfamiliar with IoT with a theoretical definition and an extended framework.

164 articles published between 2005 and 2019 are collected using snowball sampling. Further, 100 unique definitions are identified in the sample. Definitions are examined using content analysis and applying a theoretical framework of five knowledge dimensions.

In declarative/relational dimensions of knowledge, increasing levels of agreement are observed in the sample. Sources of tautological reasoning are identified. In conditional and causal dimensions, definitions of IoT remain underdeveloped. In the former, potential limitations of IoT related to resource scarcity, privacy and security are overlooked. In the latter, three main loci of agreement are identified.

This study does not cover all published definitions of IoT. Some narratives may be omitted by our selection criteria and process.

This study supports sensemaking of IoT. Main loci of agreement in definitions of IoT are identified. Avenues for further clarification and consensus are explored. A new framework that can facilitate further investigation and agreement is introduced.

This is, to the authors’ knowledge, the first study that examines the historical evolution of definitions of IoT vis-à-vis its technological features. This study introduces an updated framework to critically assess and compare definitions, identify ambiguities and resolve conflicts among different interpretations. The framework can be used to compare past and future definitions and help actors unfamiliar with IoT to make sense of it in a way to reduce adoption costs. It can also support researchers in studying early discussions of IoT.

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.

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.

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.

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.

In this chapter the authors present a field study investigating the adoption of information communications technology innovation at a UK-based University hospital. The authors have followed the implementation of electronic medicine chart technology (EMEDs) designed to replace “traditional” paper-based systems used by doctors, nurses, and pharmacists teams in the hospital. Having studied the interactions between the “user” and “implementer” groups, the findings of this chapter offer a socio-cognitive model of innovation adoption which accounts for the intra- and inter-team idiosyncrasies that underpin the processes of implementation. Using the concept of interactive framing as the analytical lens, findings of this chapter illustrate that the adoption and diffusion process of innovation is a social process resulting from the interaction of organizational team members. The cycles constituting the adoption and implementation of EMEDs in this research encapsulate the conflicting experience of different groups and their transition from implementation to acceptance. The authors have adopted a socio-cognitive perspective to explain the asymmetrical experience of different groups in a complex, high reliable organization.

The purpose of this study is to explore the social and collective foundations of the auditor’s judgment and specifically highlights that the dialogical dimension of auditors’ judgment is founded on both their interactions with their auditees and their interactions with their colleagues.

This qualitative study is based on interviews with 22 audit partners, conducted between March 2013 and October 2016, in France.

The research points out the complexity of auditor judgment. Confronted with issues such as equivocal and ambiguous circumstances, auditors must question the relevance of the meanings elaborated to act according to the situation (self-criticism or doubt) and must be wise and not be overconfident toward the information provided by the manager (wisdom). Last but not least, the findings also suggest that contrary advice helps auditors to improve an alternative point of view and hence reach a consensus.

The research uses a K. Weick sensemaking approach and contributes theoretically to gaining deeper understanding of the social dimension in audit judgment, by showing that professional judgment is an interactive and social practice.

Much of IT research focuses on issues of adoption and adaptation of established technology artifacts by users and organizations and has neglected issues of how new technologies come into existence and evolve. To fill this gap, this paper depicts a complex picture of technology evolution to illustrate the development of Web browser technology. Building on actor‐network theory as a basis for studying complex technology evolution processes, it explores the emergence of the browser using content analysis techniques on archival data from 1993‐1998. Identifies three processes of inscribing, translating, and framing that clarify how actors acted and reacted to each other and to the emergent technological definition of the browser. This spiral development pattern incorporates complex interplay between base beliefs about what a browser is, artifacts that are the instantiation of those beliefs, evaluation routines that compare the evolving artifact to collective expectations, and strategic moves that attempt to skew the development process to someone's advantage. This approach clarifies the complex interdependence of disparate elements that over time produced the Web browser as it is known today.

While on a business flight, a CEO reads in an airline magazine about an information technology innovation that promises fabulous returns to the adopting corporation. Returning home, the CEO demands immediate action from the senior information systems executive. So goes a story current among systems practitioners. This tale of “Airline Magazine Syndrome” is analyzed here as an instance of narrative, through research informed by innovation theory and field interviews with business executives and systems practitioners. The analysis considers both how the story depends for its meaning on the sociotechnical context of innovation, and how that context is illuminated by the listener’s engagement with the story. “Airline Magazine Syndrome” is a kind of moral drama, in which misdeeds portend crisis and failure. As such, there are also lessons for a happier ending, in the domain of real practice, in which organizational innovation with information technology can have better prospects for success.