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This study investigates the potential of actor‐network theory (ANT) for theory development on information technology project escalation, a pervasive problem in contemporary organizations. In so doing, the study aims to contribute to the current dialogue on the potential of ANT in the information systems field. While escalation theory has been used to study “runaway” IT projects, two distinct limitations suggest a potential of using ANT: First, there is a need for research that builds process theory on escalation of IT projects. Second, the role of technology as an important factor (or actor) in the shaping of escalation has not been examined. This paper examines a well‐known case study of an IT project disaster, the computerized baggage handling system at Denver International Airport, using both escalation theory and ANT. A theory‐comparative analysis then shows how each analysis contributes differently to our knowledge about dysfunctional IT projects and how the differences between the analyses mirror characteristics of the two theories. ANT is found to offer a fruitful theoretical addition to escalation research and several conceptual extensions of ANT in the context of IT project escalation are proposed: embedded actor‐networks, host actor‐networks, swift translation and Trojan actor‐networks.

In this editorial introduction Allen Lee's definition of the information systems (IS) field is taken as the starting point: “Research in the information systems field examines more than just the technological system, or just the social system, or even the two systems side by side; in addition, it investigates the phenomena that emerge when the two interact” (Lee, A. “Editorial”, MISQ, Vol. 25, No. 1, 2001, p. iii). By emphasizing the last part of this, it is argued that actor‐network theory (ANT) can provide IS research with unique and very powerful tools to help us overcome the current poor understanding of the information technology (IT) artifact (Orlikowski, W. and Iacono, S., “Research commentary: desperately seeking the ‘IT’ in IT research – a call for theorizing the IT artifact”, Information Systems Research, Vol. 10 No. 2, 2001, pp. 121‐34). These tools include a broad range of concepts describing the interwoven relationships between the social.

To give an overview of the papers contained in this Special Issue.

Looks at how each of the papers reflects the theme of the Special Issue, “Complexity and IT design and evolution”.

The collection of papers in this Special Issue addresses complexity, drawing on multi‐faceted, multi‐theoretical lines of inquiry.

Frameworks from complexity science, institutional theory, social science, philosophy, and recent thinking in science and technology studies (STS) are used as theoretical lenses to conceptualize and analyze complexity in IS and to offer ways to mitigate it.

Loneliness and isolation are on the rise, globally threatening the well-being across age groups; global social distancing measures during the COVID-19 crisis have intensified this so-called “loneliness virus”. The purpose of this paper is to develop an integrative framework and research agenda on the role of companion robots in mitigating feelings of loneliness.

A netnographic analysis of 595 online visual and textual descriptions offer empirical insights about the role of the companion robot Vector during the COVID-19 pandemic.

The contributions of this study are twofold. First, it postulates that companion robots have the potential of mitigating feelings of loneliness (i.e. indicator of well-being). Second, this study contributes to transformative service by developing an integrative framework introducing the roles (personal assistant, relational peer and intimate buddy) that companion robots can fulfill to mitigate feelings of loneliness through building different types of supportive relationships.

The proposed research agenda encourages future service scholars to investigate 1) the role of robots in addressing loneliness, 2) design features that drive adoption of robots, 3) social support for different groups, 4) the operationalization and the measurement of loneliness and 5) an impact analysis of companion robots.

Service providers and policy makers can leverage the insights about how companion robots can help reduce a sense of loneliness.

The integrative framework on loneliness reduction, based on 595 unprompted online contributions issued during the COVID-19 pandemic, offers initial evidence for the impact of companion robots in reducing people's feelings of loneliness.

Service robots are now an integral part of people's living and working environment, making service robots one of the hot topics for service researchers today. Against that background, the paper reviews the recent service robot literature following a Theory-Context-Characteristics-Methodology (TCCM) approach to capture the state of art of the field. In addition, building on qualitative input from researchers who are active in this field, the authors highlight where opportunities for further development and growth lie.

The paper identifies and analyzes 88 manuscripts (featuring 173 individual studies) published in academic journals featured on the SERVSIG literature alert. In addition, qualitative input gathered from 79 researchers who are active in the service field and doing research on service robots is infused throughout the manuscript.

The key research foci of the service robot literature to date include comparing service robots with humans, the role of service robots' look and feel, consumer attitudes toward service robots and the role of service robot conversational skills and behaviors. From a TCCM view, the authors discern dominant theories (anthropomorphism theory), contexts (retail/healthcare, USA samples, Business-to-Consumer (B2C) settings and customer focused), study characteristics (robot types: chatbots, not embodied and text/voice-based; outcome focus: customer intentions) and methodologies (experimental, picture-based scenarios).

The current paper is the first to analyze the service robot literature from a TCCM perspective. Doing so, the study gives (1) a comprehensive picture of the field to date and (2) highlights key pathways to inspire future work.

The purpose of this paper is to explore the conditions under which a co-design team comprised of in-house professionals and leading-edge service users can generate innovative service design concepts.

The investigation used a field-experimental design to conduct two studies. Observations and open-ended questionnaires were used to examine cross-comparison matrices with experts rating the generated outcomes and t-tests being used to compare the outcome ratings between teams of different compositions.

The outcomes produced by a co-design team seem to be linked to the team diversity – process facilitation relationship. Bringing a variety of knowledge and skills into the team can lead to original outcomes, while a high disparity between members’ backgrounds can require extensive efforts to facilitate a collaborative process. Separation between users’ objectives can result in a user-driven process and outcomes that are too specific for the broader marketplace. Co-design teams that characterize minimum separation, maximum variety, and moderate disparity are likely to produce the most promising results.

The research was restricted to a narrowly defined study setting and samples. Future research should replicate the current study in other service contexts using different team compositions.

Co-design requires the careful selection of users based on their background and motivations, as well as the facilitation of a process that enables the team to collaboratively transform relevant knowledge into innovative outcomes.

The research contributes to a better understanding of the team composition – process facilitation relationship affecting innovation outcomes. Doing so provides a more fine-grained picture of the co-design team composition and the facilitation requirements for service design.

The increasing size of the elderly population is emerging as a primary catalyst for the escalation of healthcare expenditure, and a sense of urgency is manifest. However, the complexity of the health- and elderly care systems provides challenges in improving system efficiency. Hence, the system-level understanding of the main obstacles to integration care needs further exploration. In order to better integrate health- and elderly care, the study needs to identify the actual misalignments underpinning the issue. This study provides the theoretical foundations for resource misalignments and provides empirical examples of these.

Semi-structured interviews with multiple stakeholders on various hierarchical levels were carried out to create a more complete view of the system and resources deployed in health- and elderly care. The application of user-centered design methods and co-creation with employees have also been crucial to the outcomes of the study.

Results show that health- and elderly care is a large-scale complex system. The overlapping and mutually reinforcing misalignments are: (1) regulation and policy differences, (2) stakeholder quantity and variation, (3) external control of health- and elderly care, (3) decreasing collaboration and (4) communication channels and IT development.

This qualitative study builds on institutional theory and resource integration theory and contributes with empirical descriptions of misalignments in the health- and elderly care system. These descriptions will serve as points of departure for systems design to improve the efficiency and effectiveness of health- and elderly care.

The COVID-19 pandemic caused global supply disruptions and shortages that resulted in countries battling over desperately needed (medical) supplies. In this mayhem, additive manufacturing (AM) provided relief to the strained healthcare systems and manufacturing environments by offering an alternative way to rapidly produce desired products. This study sheds light on how AM was used globally in response to the COVID-19 pandemic.

The study undertakes a systematic and content-centric review of 289 additively manufactured products made in response to the COVID-19 pandemic. Additionally, quantitative frequency-based text mining and various descriptive analyses were applied that support the investigation of the subject under regard.

Results show that AM was primarily used in the medical domain for the production of standard medical items, such as personal protective equipment (PPE) but also for non-obvious and new applications (e.g. swab simulator, rapid diagnostic kits, etc.). Also, certain paradigm shifts were observed, as the effective move to mass production and the mitigation of problems related to certification and standardization emerged as prominent management prospects. Nevertheless, various obstacles arose and remained in the path of lasting AM success, especially with respect to print quality, raw material supply and technological versatility.

Due to the actuality of the topic under investigation, no comparable study has so far been conducted. The systematic review provides a conclusive and precise foundation for further analysis and subsequent discussions. Additionally, no comparable study mapping such a wide array of different AM products exists today.

Many firms use customer co-creation practices with the aim of benefiting from their customers’ knowledge, skills and resources. This paper aims to explore co-creation processes which involve users with different background characteristics and motivational drivers.

The study builds on an analysis of data from six teams in which users collaborated with in-house professionals for the development of new service concepts. Observations and open-ended questionnaires provided insights into the teams’ development processes. Independent experts rated the generated concepts. The data were analysed using cross-comparison matrices.

The findings suggest that the co-creation process and outcomes can be influenced by numerous intra-team factors, including relationship and task conflicts, participation style, team bonding, team identity and cohesiveness and intra-team collaboration. Their occurrence and influence seem to be linked with a specific team composition. A conceptual co-creation process model and six propositions are used to describe the complex relationships between team composition, intra-team factors and key innovation outcomes.

Research that investigates user involvement in teams needs to consider the complexity of intra-team factors affecting the development process and outcomes. The findings are limited to a specific setting, design task and user sample. Future research should replicate this study in different sectors.

Key to customer co-creation is the systematic recruitment of users based on their background characteristics and motivational drivers. For instance, the involvement of users with very specific innovation-related benefit expectations can cause conflict, leading to narrowly focused outcomes. This, however, can be mitigated by the form of facilitation and roles adopted by in-house professionals. Understanding intra-team dynamics can allow the firm to assemble and facilitate customer co-creation so that generated outcomes can align with set innovation targets.

This paper provides original insights into the “black box” of the customer co-creation process and the complex relationship between team composition, intra-team factors and key innovation outcomes.

The service sector is at an inflection point with regard to productivity gains and service industrialization similar to the industrial revolution in manufacturing that started in the eighteenth century. Robotics in combination with rapidly improving technologies like artificial intelligence (AI), mobile, cloud, big data and biometrics will bring opportunities for a wide range of innovations that have the potential to dramatically change service industries. The purpose of this paper is to explore the potential role service robots will play in the future and to advance a research agenda for service researchers.

This paper uses a conceptual approach that is rooted in the service, robotics and AI literature.

The contribution of this paper is threefold. First, it provides a definition of service robots, describes their key attributes, contrasts their features and capabilities with those of frontline employees, and provides an understanding for which types of service tasks robots will dominate and where humans will dominate. Second, this paper examines consumer perceptions, beliefs and behaviors as related to service robots, and advances the service robot acceptance model. Third, it provides an overview of the ethical questions surrounding robot-delivered services at the individual, market and societal level.

This paper helps service organizations and their management, service robot innovators, programmers and developers, and policymakers better understand the implications of a ubiquitous deployment of service robots.

This is the first conceptual paper that systematically examines key dimensions of robot-delivered frontline service and explores how these will differ in the future.