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Systemic innovations emerge and create value in an inter-organisational context. However, innovation studies rarely investigate the role of value creation and value capture among multiple organisations in successful innovation implementation. This paper aims to understand the role of value creation and value capture in the implementation of systemic innovations in construction which is by nature, an inter-organisational context.

The empirical research focused on the barriers, enablers and opportunities for value creation and value capture of the Finnish construction project parties when trying to implement mechanical, electrical and plumbing (MEP) prefabrication, which is a systemic innovation. Data were collected through interviews, observations and action workshops.

The empirical study identified interaction patterns on how social, political, technical and economic barriers lead to uneven value capturing, lack of value-based procurement and unclear value creation between MEP design and installation. They hinder the implementation of MEP prefabrication. The results point to enablers leading to fairly shared value to all parties, procurement of value and collaborative value creation, thus increasing the usage of MEP prefabrication, a systemic innovation.

The study adds new knowledge by demonstrating that the identification of barriers and their interaction with enablers and opportunities for value creation and capture lay a baseline for suggestions on how to implement a systemic innovation. This study stresses the importance of enabling value creation and capture for all construction project parties when implementing a systemic innovation.

This paper examines the organizational resilience of audit firms during the early stages of COVID-19. The unexpected restrictions placed on travel and on-site working created unanticipated barriers for auditors in Hong Kong. The authors expect that auditors with greater organizational resilience can respond to unexpected situations and restore expected performance levels relatively quickly.

The authors utilize a sample of 1,008 companies listed on Hong Kong Stock Exchange (HKEX) with a financial year-end of December 31. The authors identify five proxies contributing to organizational resilience: auditor size, industry specialization, diversity, geographic proximity to the client and auditing a new client. The authors use audit report timeliness as this study's main dependent variable.

This study's full-sample results suggest that larger auditors, industry specialists and auditors with closer relationships to clients issued more timely audit reports during the pandemic. The analysis of a subsample of companies that initially published unaudited financial statements reveals that industry expertise and longer auditor-client relationships significantly reduced the need for year-end audit adjustments. Finally, the authors find that larger auditors were more likely to offload clients, whereas industry specialists were more likely to retain clients.

The results of the paper suggests that audit firm characteristics associated cognitive abilities, behavioral characteristics and contextual conditions are associated with audit firm organizational resilience and, consequently, helps auditors respond unexpected changes in the audit environment.

The findings of the paper are informative for those involved in audit firm management or auditor hiring and retention decisions.

This study is the first to link organizational resilience to the performance of audit firms in a time of unexpected events. The authors connect three auditor and two auditor-client dimensions to the organizational resilience of the audit firms.

This paper proposes a method for managing client requirements with the use of Building Information Modelling (BIM). The development of healthcare projects demands a large amount of requirements information, in order to deal with a diversity of clients and frequents changes in healthcare services. The proposed method supports healthcare design by adopting a process-based approach for client requirements management, with the aim of improving value generation.

Design Science Research was the methodological approach adopted in this investigation. The main outcome of this study emerged from an empirical study carried out in a healthcare project in Brazil.

The proposed method involves three stages: (1) capturing and processing requirements; (2) product and requirements modelling, which involves the connection between requirements and the BIM 3-D model and (3) supporting design solution refinement, through the communication of requirements and the assessment of design in relation to updated client requirements information.

This study explores client requirements management from a process perspective, proposing activities and their interdependences and possible sources of data, including healthcare services information. The main theoretical contributions are related to the understanding of the nature and complexity of the information involved in client requirements management, and how this can be modelled.

Enterprise systems are commonly implemented by firms through outsourcing arrangements with software vendors. However, deriving benefits from these implementations has proved to be a challenge, and a great deal of variation has been observed in the extent of value generated for client and vendor firms. This research examines the role of co-specialization as a strategy to make the most out of outsourced enterprise systems. The authors develop hypotheses relating resource co-specialization with two indicators of success for implementation of enterprise software: (1) exchange success and (2) firm growth.

The hypotheses are tested using a unique panel data set of 175 firms adopting Advanced Planning and Scheduling (APS) software, a type of enterprise system used for managing manufacturing and logistics. The authors identify organizational factors that support co-specialization and then examine how co-specialization is associated with enterprise software implementation success, controlling for the endogenous choice to co-specialize.

The empirical results suggest that resource co-specialization is positively associated with implementation success and that the two resource co-specialization pathways that are examined complement each other in providing performance benefits.

This paper contributes to the research literature on outsourcing. The study also provides a new empirical test using a unique data set of 175 firms adopting APS Software.

Today, low-income people seeking resources from the federal government must often work through non-profit organizations. The purpose of this paper is to examine the constraints that the poor must face today to secure resources through non-profit organizations.

This is a conceptual paper. The authors review cases of non-profit organizations providing federally supported resources to the poor across multiple sectors.

The authors find that to accept government contracts serving the poor, nonprofit organizations must often engage in one or several practices: reject clients normally consistent with their mission, select clients based on likely outcomes, ignore problems in clients’ lives relevant to their predicament, or undermine client progress to manage funding requirements. To secure government-supported resources from nonprofits, the poor must often acquiesce to intrusions into one or more of the following: their privacy (disclosing sensitive information), their self-protection (renouncing legal rights), their identity (avowing a particular self-understanding) or their self-mastery (relinquishing authority over daily routines).

The authors show that the nonprofits’ dual role as brokers, both liaisons transferring resources and representatives of the state, can complicate their relation to their clients and the predicament of the poor themselves; the authors suggest that two larger trends, toward increasing administrative accountability and demonstrating deservingness, are having both intended and unintended consequences for the ability of low-income individuals to gain access to publicly funded resources.

The purpose of this paper is to present a case study tracking the development and engagement of a group of experts by experience (The Independent Futures (IF) Group) who provided a lived experience voice to the Bristol Golden Key (GK) partnership within the Fulfilling Lives programme. The case study reports the genesis and impact of the group, as well as the facilitators of impact and experiences of the group members and those they worked in partnership with.

The research adopted an iterative approach drawing on multiple data sources over an eight-year period. An inductive ethnographic analysis of stakeholder and partnership meetings was combined with documentary analysis and thematic analysis of interviews with experts by experience and service providers.

The voice of lived experience provided by the IF group contributed to the GK partnership through various channels. Evidence of this contribution and its impact was found at programme, city-wide and national levels of the service ecosystem. Furthermore, IF members recognised the value of the group in contributing to systems change and service improvement, but also for themselves.

This case study serves to illustrate the impact of the lived experience voice on services and systems change, specifically the provision of that voice from a formalised advisory group. The successes and challenges of the group and the experiences of its members are reported with a view to sharing learning that may influence future co-production initiatives with experts by experience and service provision for those experiencing multiple disadvantage.

The insights provided by the longitudinal observation of the group as it was formed and evolved, coupled with insights provided by the experts by experience, have important implications for facilitating and supporting sustainable lived experience input.

There is a high prevalence of trauma among mental health clients, with risk of re-traumatisation when admitted to a Department of Psychiatry (DoP) (Kimberg and Wheeler, 2019). The COVID-19 pandemic poses challenges to therapy service operations in DoPs, with infection control measures impacting opportunities for therapeutic and social engagement. A trauma-informed care (TIC) lens was used when adapting services in Tallaght University Hospital DoP in response to COVID-19.

An interdisciplinary approach was taken to adapt therapy services during early stages of the pandemic. Changes were informed by TIC principles to minimise re-traumatisation while maintaining high-quality services. Changes included expansion of the therapeutic activity programme, changes to groups, addition of COVID-19-specific groups and increased awareness of communication support needs.

The early response to the pandemic, combined with the focus on TIC, resulted in continued, effective therapy services and positive client feedback. With clients’ involvement in their care enhanced, Individual Care Planning goals were achieved through group interventions.

The COVID-19 pandemic brought unprecedented changes to mental health services. This paper highlights a response to unique challenges brought by COVID-19 on a DoP.

Recommendation systems are a fundamental tool for hotels to adopt a differentiating competitive strategy. The main purpose of this work is to use machine learning techniques to treat imbalanced data sets, not applied until now in the tourism field. These techniques have allowed the authors to analyse the influence of imbalance data on hotel recommendation models and how this phenomenon affects client dissatisfaction.

An opinion survey was conducted among hotel customers of different categories in 120 different countries. A total of 135.102 surveys were collected over eleven quarters. A longitudinal design was conducted during this period. A binary logistic model was applied using the function generalized lineal model (GLM).

Through the analysis of a representative amount of data, the authors empirically demonstrate that the imbalance phenomenon is systematically present in hotel recommendation surveys. In addition, the authors show that the imbalance exists independently of the period in which the survey is done, which means that it is intrinsic to recommendation surveys on this topic. The authors demonstrate the improvement of recommendation systems highlighting the presence of imbalance data and consequences for marketing strategies.

The main contribution of the current work is to apply to the tourism sector the framework for imbalanced data, typically used in the machine learning, improving predictive models.