Exploring the emergence of lock-in in large-scale projects: A process view

Hetemi, Ermal; Jerbrant, Anna; Meré, Joaquín Ordieres

doi:10.1016/j.ijproman.2019.10.001

Cited by 40 publications

(40 citation statements)

References 55 publications

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“…During the adoption process stage, the first tensions amongst and within the logics came to the surface. In organizations A and B, the management team coped with administrative issues by focusing on technical benefits and promises, by crafting new contracts and actually delaying the adoption of BIM technology, solving the problems momentarily-temporary 'fix' effects [71]. Thus, professional engineers and project managers in both organizations A and B selectively chose not to resist, achieving an alignment between the logics.…”

Section: Institutional Actors and Their Responsesmentioning

confidence: 99%

An Institutional Approach to Digitalization in Sustainability-Oriented Infrastructure Projects: The Limits of the Building Information Model

2020

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The transport sector accounts for a large share of global Co2 emissions. To mitigate the impact of climate change, several sustainability-oriented large-scale infrastructure projects such as electric road systems and expanding rail systems have recently been on the policy agenda. A parallel development that is expected to accelerate the transition of the transport sector is digitalization, which, although ongoing for many decades, has recently been augmented by concepts such as artificial intelligence (AI) and smart city technologies. The integration of these digitalization tools at the organizational level poses not only opportunities but also some challenges for the actors involved in infrastructure projects. An approach that is currently promoted in the infrastructure sector is the Building Information Model (BIM), which is a decision-making instrument that leverages various digitalization tools and applications. However, although the economic implications of BIM are widely discussed in the literature, the (inter-) organizational dynamics involving multiple actors in infrastructure projects are not fully grasped. Large infrastructure projects are sociotechnical endeavors embedded in complex institutional frames; hence the institutional norms, practices and logics in them are significant. Responding to this, this paper adopted an institutional analysis and put the BIM approach in the (inter-) organizational context in infrastructure delivery. Drawing on empirical data from three organizations in infrastructure delivery in Spain, this paper analyzed the tensions among actors during BIM adoption and implementation.

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Section: Institutional Actors and Their Responsesmentioning

confidence: 99%

An Institutional Approach to Digitalization in Sustainability-Oriented Infrastructure Projects: The Limits of the Building Information Model

2020

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“…Over the last two decades there has been increasing research on behavioural decision making in projects (e.g. Flyvbjerg, 2013;Hetemi et al, 2020;Keil et al, 2000) which focuses on "the actual influences on actors on making choices" (Mullaly, 2014, p. 519). Drawing on a range of fundamental behavioural decision making theories, this research has explored the inputs, processes and outcomes of decisions crucial to project success and failure.…”

Section: Introductionmentioning

confidence: 99%

Quantifying heterogeneous individual perceptions in project management research

Hackman

2021

IJMPB

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PurposeThis article introduces the best-worst scaling object case, a quantitative method of producing individual level models of heterogeneous perceptions, for use in behavioural decision making research in projects. Heterogeneous individual perceptions refer to observed or unobserved differences between individual perceptions that impact the outcome being studied. Individual level models of perceptions are important to account for the impact of heterogeneous perceptions on measurement tasks, so they do not become an unobserved source of variance that potentially biases research inferences.Design/methodology/approachAn overview of individual heterogeneity is provided highlighting the requirement for individual level models in quantitative perception measurements. A literature review is then conducted of the quantitative methods and tasks used to measure perceptions in behavioural decision making research in projects and their potential to produce individual level models.FindingsThe existing quantitative methods cannot produce the necessary individual level models primarily due to the inability to address individual level scale effects, responses styles and biases. Therefore, individual heterogeneity in perceptions can become an unobserved source of variance that potentially biases research inferences.Practical implicationsA method new to project management research, the best-worst scaling object case, is proposed to produce individual level models of heterogeneous perceptions. Guidance on how to implement this method at the individual level is provided along with a discussion of possible future behavioural decision making research in projects.Originality/valueThis article identifies a largely unacknowledged measurement limitation of quantitative behavioural decision making research in projects and provides a practical solution: implementing the best-worst scaling object case at the individual level.

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“…Organization leaders could never completely lock the choices within a large-scale project into a deterministic trajectory (Hetemi, Jerbrant, & Mere, 2020). The strict and rigid system lacks flexibility and often becomes a challenge in a change process, for example, when the organization wants projects to have a shorter lead time (Whyte, Stasis, & Lindkvist, 2016).…”

Section: Introductionmentioning

confidence: 99%

Conceptualizing Digital Transformation Project Effectiveness: A Review and Synthesis of the Literature

Lukito¹

2021

Proceedings of ‏The 2nd International Conference on Research in Management

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Digital transformation has been a topic of interest in the last decade. However, the concept of digital transformation project effectiveness remains unclear. Many people view digital transformation as a never-ending process. Therefore, many researchers use digital maturity to predict whether an organization will be successful in its digital transformation. However, the fact that the never-ending digital transformation process is actually developed upon the continuous implementation of various digitalization projects should not be ignored. The effectiveness of each digital transformation project influences the success of the long journey of an organization's digital transformation. This article aims to provide a conceptualization of digital transformation project effectiveness as a multi-dimensional construct. This new conceptualization was developed based on the evidence found in the literature and the literature review synthesis. This study shows that the Digital Transformation Project Effectiveness has four dimensions: Business Performance, Financial Performance, Digitally Fit People, and Sustainable Competitiveness. To the best of our knowledge, we are the first to conceptualize the effectiveness of digital transformation as a short-term transformation project using the grounded theory method for a rigorous literature review. This study's findings are beneficial to both researchers and practitioners by giving more clarity and better comprehension regarding the concept of digital transformation project effectiveness, thus opening more room for further research and discussions.

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Exploring the emergence of lock-in in large-scale projects: A process view

Cited by 40 publications

References 55 publications

An Institutional Approach to Digitalization in Sustainability-Oriented Infrastructure Projects: The Limits of the Building Information Model

An Institutional Approach to Digitalization in Sustainability-Oriented Infrastructure Projects: The Limits of the Building Information Model

Quantifying heterogeneous individual perceptions in project management research

Conceptualizing Digital Transformation Project Effectiveness: A Review and Synthesis of the Literature

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