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This chapter addresses the challenges associated with temporary organising under conditions of institutional complexity. The authors draw on findings from an in-depth case study of a megaproject initiated to reshape healthcare in Sweden. At the centre of this transformation was the construction of a new, ‘world-class’ hospital to replace the former (historical and renowned) university hospital. The authors posit that organising such projects is largely a matter of creating, responding to, and re-creating temporal institutional complexity. Thus, their study identifies four distinct response strategies – innovating, partial decoupling, avoiding, and surfing – on which project actors relied when dealing with the multiplicity of temporal institutional requirements. The authors propose a model for explaining how these strategies affected the temporal institutional complexity faced by the project. Their chapter adds to the literature on temporary organisations by highlighting the nature and dynamics of temporal institutional complexity and by revealing how inter-institutional temporary organisations cope with such complexity.

The enlistment of time is shown to become indispensable for the continued existence of complex systems in two ways. First, complexity forces the making of selections of meaningful combinations of modal forms that becomes possible through the use of time. Second, the empirical limits of the present and the degree of complexity with which it has to deal require further measures.

The purpose of this paper is to identify, classify and analyse temporality in information systems development (ISD) literature.

The authors address the temporality and ISD research gap by using a framework – which classifies time into three categories: conceptions of time, mapping activities to time and actors relating to time. The authors conduct a systematic literature review which investigates time in ISD within the Senior Scholars' Basket, Information Technology & People (IT&P), and top two information systems conferences over the past 20 years. The search strategy resulted in 9,850 studies of which 47 were identified as primary papers.

The results reveal that ISD research is ill equipped for contemporary thinking around time. This systematic literature review (SLR) contributes to ISD by finding the following gaps in the literature: (1) clock time is dominant and all other types of time are under-researched; (2) contributions to mapping activities to time is lacking and existing studies focus on single ISD projects rather multiple complex ISD projects; (3) research on actors relating to time is lacking; (4) existing ISD studies which contribute to temporal characteristics are fragmented and lack integration with other categories of time and (5) ISD methodology papers lack contributions to temporal characteristics and fail to acknowledge and contribute to time as a multifaceted interrelated concept.

This work has developed the first SLR on temporality in ISD. This study provides a starting point for ISD researchers and ISD practitioners to test commonly held temporal assumptions of ISD researchers and practitioners.

Recent advancements in Artificial Intelligence (AI) and, at its core, Machine Learning (ML) offer opportunities for organizations to develop new or enhance existing capabilities. Despite the endless possibilities, organizations face operational challenges in harvesting the value of ML-based capabilities (MLbC), and current research has yet to explicate these challenges and theorize their remedies. To bridge the gap, this study explored the current practices to propose a systematic way of orchestrating MLbC development, which is an extension of ongoing digitalization of organizations.

Data were collected from Finland's Artificial Intelligence Accelerator (FAIA) and complemented by follow-up interviews with experts outside FAIA in Europe, China and the United States over four years. Data were analyzed through open coding, thematic analysis and cross-comparison to develop a comprehensive understanding of the MLbC development process.

The analysis identified the main components of MLbC development, its three phases (development, release and operation) and two major MLbC development challenges: Temporal Complexity and Context Sensitivity. The study then introduced Fostering Temporal Congruence and Cultivating Organizational Meta-learning as strategic practices addressing these challenges.

This study offers a better theoretical explanation for the MLbC development process beyond MLOps (Machine Learning Operations) and its hindrances. It also proposes a practical way to align ML-based applications with business needs while accounting for their structural limitations. Beyond the MLbC context, this study offers a strategic framework that can be adapted for different cases of digital transformation that include automation and augmentation of work.

Effective project learning can prevent projects from repeating the same mistakes; however, knowledge codification is required for project-to-project learning to be up-scaled across the temporal, geographical and organisational barriers that constrain personalised learning. This paper explores the state of practice for the structuring of codified project learnings as concrete boundary objects with the capacity to enable externalised project-to-project learning across complex boundaries. Cross-domain reconceptualisation is proposed to enable further research and support the future development of standardised recommendations for boundary objects that can enable project-to-project learning at scale.

An integrative literature review method has been applied, considering knowledge, project learning and boundary object scholarship as state-of-practice sources.

It is found that the extensive body of boundary object literature developed over the last three decades has not yet examined the internal structural characteristics of concrete boundary objects for project-to-project learning and boundary-spanning capacity. Through a synthesis of the dispersed structural characteristic recommendations that have been made across examined domains, a reconceptualised schema of 30 discrete characteristics associated with boundary-spanning capacity for project-to-project learning is proposed to support further investigation.

This review makes a novel contribution as a first cross-domain examination of the internal structural characteristics of concrete boundary objects for project-to-project learning. The authors provide directions for future research through the reconceptualisation of a novel schema and the identification of important and previously unidentified research gaps.

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 paper is to contribute to operations management (OM) practice contingency research by describing the complexity of projects. Complexity is recognised as a key independent (contingent) variable that impacts on many subsequent decisions in the practice of managing projects.

This paper presents a systematic review of relevant literature and synthesises an integrated framework for assessing the complexities of managing projects.

This framework comprises five dimensions of complexity – structural, uncertainty, dynamics, pace and socio‐political complexity. These five dimensions present individuals and organisations with choices about how they respond to each type of complexity, in terms of business case, strategic choice, process choice, managerial capacity and competencies.

The contribution of this paper is to provide a clarification to the epistemology of complexity, to demonstrate complexity as a lived experience for project managers, and offer a common language for both practitioners and future empirical studies considering the individual or organisational response to project complexities. The work also demonstrates an application of systematic review in OM research.

The purpose of this paper is to provide an overarching conceptual decision model that delineates the major issues and decisions associated with carbon regulations that will allow executives to better understand the potential regulatory schemes and implications that may be imposed in the near future.

The authors use the extant literature as the foundation to develop a conceptual model of the decisions pertaining to climate change regulation that face business executives today.

This paper suggests four major categories of issues that must be addressed in any climate change regulatory scheme. These include: “scope” – will carbon emission management systems be global or regional; “who pays” – will the consumer or will the supply chain be responsible for the cost of their emissions; “market or compliance‐based mechanisms” – will the CO₂ emissions system be market‐based or a compliance‐based regulatory system; and “criteria” – how can credence of the remedy be established – what is necessary for a business initiative to qualify for as a creditable carbon offset?

This paper offers a framework that categories the fundamental decisions that must be made in any climate change regulation. This framework may be useful in advancing research into any of the four categories of decisions and their implications on commerce and the environment. This paper is designed to be managerially useful and in that way does limit its ability to specifically advance many dimensions of research.

The paper offers executives for a simple model of the decisions that must be made to craft an effective climate change regulatory scheme. In addition, it suggests how these decisions may create exploitable economic opportunities for innovative and proactive firms.

This paper adds value to the debate by clarifying the decisions that must be addressed in any climate change regulation scheme.

This paper aims to propose a comprehensive framework for prioritizing complexity criteria. The framework was validated by applying in infrastructure international development (ID) project as a case study.

A literature review highlighted the limitations of existing complexity prioritization methods. Then, a combination of the fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy analytic network process (ANP) was employed as a foundation to develop a three-stage complexity prioritization framework. Focus group discussion and questionnaire surveys were used to practically test the framework in the infrastructure ID projects.

The three-stage complexity prioritization framework was validated to be reliable and feasible. The findings showed ability of consultants, scope uncertainties, site compensation and clearance, communication between stakeholders, administrative procedure and project duration were the most significant complexity criteria of ID projects in the Vietnamese context.

The framework is a robust tool that enables the researchers to grasp the interaction of complexity criteria for complexity prioritization. Later studies can apply the proposed framework, with some minor revisions, to assess the interaction of criteria in other research topics in, and beyond, project complexity. Results of the case study suggest project stakeholders focusing on complex interactions among criteria to reduce project complexity.

This study contributes to the body of knowledge by providing a comprehensive complexity prioritization framework that grasps the interrelationship of complexity criteria. For stakeholders of ID projects, the findings provide insightful perspectives to understand complexity, which can help to enhance project performance.