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Climate change requires the reduction of direct and indirect greenhouse gas (GHG) emissions, a task that seems to clash with increasing supply chain complexity. This study aims to analyse the upstream supply chain complexity dimensions suggesting the importance of understanding the information processing that these may entail. Reducing equivocality can be an issue in some dimensions, requiring the introduction of written guidelines to moderate the effects of supply chain complexity dimensions on GHG emissions at the firm and supply chain level.

A three-year panel data was built with information obtained from Bloomberg, Trucost and Compustat. Hypotheses were tested using random effect regressions with robust standard errors on a sample of 394 SP500 companies, addressing endogeneity through the control function approach.

Horizontal complexity reduces GHG emissions at the firm level, whereas vertical and spatial complexity dimensions increase GHG emissions at the firm and supply chain level. Although the introduction of written guidelines neutralises the negative effects of vertical complexity on firm and supply chain GHG emissions, it is not sufficient in the presence of spatial complexity.

This paper offers novel insights by suggesting that managers need to reconcile the potential trade-off effects on GHG emissions that horizontally complex supply chain structures can present. Their priority in vertically and spatially complex supply chain structures should be to reduce equivocality.

Information management workflow in building information modelling (BIM)-based collaboration is based on using a common data environment (CDE). The basic premise of a CDE is exposing all relevant data as a single source of truth and facilitating continuous collaboration between stakeholders. A multitude of tools can be used as a CDE, however, it is not clear how the tools are used or if they fulfil the users’ needs. Therefore, this paper aims to investigate current practices of using CDEs for information management during the whole built asset’s life cycle, through a state-of-the-art literature review and an empirical study.

Literature data is collected according to the PRISMA 2020 guideline for reporting systematic reviews. This paper includes 46 documents in the review and conduct a bibliometric and thematic analysis to identify the main challenges of digital information management. To understand the current practice and the views of the stakeholders using CDEs in their work, this paper used an empirical approach including semi-structured interviews with 15 BIM experts.

The results indicate that one of the major challenges of CDE adoption is project complexity and using multiple CDEs simultaneously leading to data accountability, transparency and reliability issues. To tackle those challenges, the use of novel technologies in CDE development such as blockchain could be further investigated.

The research explores the major challenges in the practical implementation of CDEs for information management. To the best of the authors’ knowledge, this is the first study on this topic combining a systematic literature review and fieldwork.

This paper aims to explore the various sociotechnical dimensions of building information modelling (BIM)-induced changes associated with stakeholder management of projects.

This paper relies on grounded theory and data collection from two case studies – one in the public sector and one in the private sector – and is underpinned by Leavitt’s (1964) sociotechnical model.

Findings reveal four new dimensions of stakeholder management as being affected through BIM-induced changes: commitment; transparency; learning and experience; and stakeholder satisfaction, with these extending beyond the dimensions recognised in the existing literature. Another novelty lies in bringing to light the highly context-specific nature of BIM-induced changes pertinent to stakeholder management, with the two case studies demonstrating differences in these changes. Furthermore, a theoretical model of the causal impacts of various identified dimensions is presented, in which the sequence of changes and the causal associations between the identified dimensions are conceptualised.

Through Leavitt’s (1964) Diamond lens, the procedure of change and its evolutionary procedure for various components of the sociotechnical system of stakeholder management are theorised. The tentative conceptualisations presented offer a springboard from which to further investigate the episode of change pertinent to various dimensions of stakeholder management in BIM-enabled projects.

Insufficient productivity development in the global and Finnish infrastructure sectors indicates that there are challenges in genuinely achieving the goals of resource efficiency and digitalization. This study adapts the approach of capability maturity model integration (CMMI) for examining the capabilities for productivity development that reveal the enablers of improving productivity in the infrastructure sector.

Civil engineering in Finland was selected as the study area, and a qualitative research approach was adopted. A novel maturity model was constructed deductively through a three-step analytical process. Previous research literature was adapted to form a framework with maturity levels and key process areas (KPAs). KPA attributes and their maturity criteria were formed through a thematic analysis of interview data from 12 semi-structured group interviews. Finally, validation and refinement of the model were performed with an expert panel.

This paper provides a novel maturity model for examining and enhancing the infrastructure sector’s maturity in productivity development. The model brings into discussion the current business logics, relevance of lifecycle-thinking, binding targets and outcomes of limited activities in the surrounding infrastructure system.

This paper provides a new approach for pursuing productivity development in the infrastructure sector by constructing a maturity model that adapts the concepts of CMMI and change management. The model and findings benefit all actors in the sector and provide an understanding of the required elements and means to achieve a more sustainable built environment and effective operations.

The purpose of this study is to contribute to the discussion surrounding the definition of accounting proposed by Carnegie et al. (2021a, 2021b) and further elaborated by Carnegie et al. (2023) from/under an institutionalist political-economy (IPE) based foundation and to specifically extend this approach to the arena of social and environmental accounting (SEA).

By adopting an IPE approach to SEA, this study offers a critique of the use of the notion of capital to refer to nature and people in SEA frameworks and standards.

A SEA framework based on the capabilities approach is proposed based on the concepts of human capabilities and global commons for the purpose of preserving the commons and enabling the flourishing of present and future generations.

The proposed framework allows the engagement of accounting community, in particular SEA researchers, with and contribution to such well-established initiatives as the Planetary Boundaries framework and the human development reports initiative of the United Nations Development Programme.

Based on the capability approach, this study applies Carnegie et al.’s (2023) framework to SEA. This new approach more attuned to the pursuit of sustainable human development and the sustainable development goals, may contribute to turning accounting into a major positive force through its impacts on the world, expressly upon organisations, people and nature.

This paper aims to introduce the concept of Entrepreneurial Collective Intelligence (ECI) as a means of understanding how communities of entrepreneurial actors learn to act both collectively and knowingly. It explores how connections between processes of CI, agency and action can explain and enable the development entrepreneurial community organisations.

There is a selective literature review of prior works on the related fields of community and collective entrepreneurship; collectives and intelligence; agency and action. The review is used to propose a framework of collective entrepreneurial intelligence, agency and action. An interpretive approach is used to research four case studies of community organisations which use CI to generate entrepreneurial outcomes.

The cases are compared with themes from prior literature to develop a conceptual model of four ECI processes which enable intelligence, agency and action: collaborative processes; distributed working; intelligence representations and organisation of infrastructures. These are theorised to discuss ideas, challenges, methods and questions to enhance entrepreneurial actions, based on sharing knowledge and learning, in the context of collective agency, action and intelligence.

The four processes, both together and separately, represent a coherent framework useful for further studies on the role of collectives in enterprising communities.

The four processes each represent a central area of attention, not only for development, learning, decision-making and leadership within enterprising communities but also for entrepreneurship education in terms of alternative didactics, pedagogies and learning forms.

The improved knowledge on the role of collective agency and CI within entrepreneurial processes is useful for strengthening civil activism and other fruitful forms of entrepreneurial collective processes. This may help solve complicated societal problems where traditional conceptions of entrepreneurship fail.

The conceptual contribution is to explain the dynamic relationships between ECI and action, mediated by collective agency. The role of CI in informing entrepreneurial communities is explored and four enabling processes are proposed. This coherent framework is useful for further studies on the role of collectives in enterprising communities, whilst informing their learning, decision-making and leadership.

This study aims to discern medieval information literacy (IL) practices through scrutiny of medieval manuscripts: both the content and the “marks of usage” evident therein.

Analysis of the writing of scribes. Engagement with selected primary texts (manuscripts) and prior scholarly investigations.

Ample evidence exists of the practice of IL in the medieval era, and how it was transmitted and negotiated across time and space. Popular guides for scholars, including Hugh of St. Victor's Didascalicon, and the marks of usage left on manuscripts by readers/scribes, are evidence of how members of scholarly communities engaged in collaborative metacognitive work, helping each other with tasks such as understanding the ordinatio (organisation) of texts; cross-referencing; locating information; and making judgments about relevance, amongst others. New practices were stimulated by key historical transitions, particularly the shift from ecclesiastical to secular settings for learning.

This is a preliminary study only, intended to lay foundations and suggest directions for more detailed future investigations of primary texts. The scope is Eurocentric, and similar work might be undertaken with the records of practice available elsewhere, e.g. the Arab world, South and East Asia.

Some previous work (e.g. Long, 2017) has investigated medieval scholarly communities by retrospectively applying notions from practice theory, but no prior work has specifically focused upon IL as the practice under investigation.

The PICCH research project contributes to opening a dialogue between cultural heritage archives and users. Hence, the users are identified and their information needs, the search strategies they apply and the search challenges they experience are uncovered.

A combination of questionnaires and interviews is used for collection of data. Questionnaire data were collected from users of three different audiovisual archives. Semi-structured interviews were conducted with two user groups: (1) scholars searching information for research projects and (2) archivists who perform their own scholarly work and search information on behalf of others.

The questionnaire results show that the archive users mainly have an academic background. Hence, scholars and archivists constitute the target group for in-depth interviews. The interviews reveal that their information needs are multi-faceted and match the information need typology by Ingwersen. The scholars mainly apply collection-specific search strategies but have in common primarily doing keyword searching, which they typically plan in advance. The archivists do less planning owing to their knowledge of the collections. All interviewees demonstrate domain knowledge, archival intelligence and artefactual literacy in their use and mastering of the archives. The search challenges they experience can be characterised as search system complexity challenges, material challenges and metadata challenges.

The paper provides a rare insight into the complexity of the search situation of cultural heritage archives, and the users’ multi-facetted information needs and hence contributes to the dialogue between the archives and the users.

The author develops a bilateral Nash bargaining model under value uncertainty and private/asymmetric information, combining ideas from axiomatic and strategic bargaining theory. The solution to the model leads organically to a two-tier stochastic frontier (2TSF) setup with intra-error dependence. The author presents two different statistical specifications to estimate the model, one that accounts for regressor endogeneity using copulas, the other able to identify separately the bargaining power from the private information effects at the individual level. An empirical application using a matched employer–employee data set (MEEDS) from Zambia and a second using another one from Ghana showcase the applied potential of the approach.

The aim of this paper was to study current practices in FM work order processing to support and improve decision-making. Processing and prioritizing work orders constitute a critical part of facilities and maintenance management practices given the large amount of work orders submitted daily. User-driven approaches (UDAs) are currently more prevalent for processing and prioritizing work orders but have challenges including inconsistency and subjectivity. Data-driven approaches can provide an advantage over user-driven ones in work-order processing; however, specific data requirements need to be identified to collect and process the functional data needed while achieving more consistent and accurate results.

This paper presents the findings of an online survey conducted with facility management (FM) experts who are directly or indirectly involved in processing work orders in building maintenance.

The findings reflect the current practices of 71 survey participants on data requirements, criteria selection, rankings, with current shortcomings and challenges in prioritizing work orders. In addition, differences between criteria and their ranking within participants’ experience, facility types and facility sizes are investigated. The findings of the study provide a snapshot of the current practices in FM work order processing, which aids in developing a comprehensive framework to support data-driven decision-making and address the challenges with UDAs.

Although previous studies have explored the use of selected criteria for processing and prioritizing work orders, this paper investigated a comprehensive list of criteria used by various facilities for processing work orders. Furthermore, previous studies are focused on the processing and prioritization stage, whereas this paper explored the data collected following the completion of the maintenance tasks and the benefits it can provide for processing future work orders. In addition, previous studies have focused on one specific stage of work order processing, whereas this paper investigated the common data between different stages of work order processing for enhanced FM.