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We study the problem of finding optimal locations for a suite of defense assets in order to protect high-value tactical and strategic infrastructure across a vast geographical area. To this end, we present a multi-type with non-overlapping coverage requirement as an extension to the classical formulation for the maximal covering location problem (MCLP).

In our case study, we use open source geographic and demographic data from Canadian sources as inputs to our optimization problem. Due to the complexity of the MIP formulation, we propose a hybrid metaheuristic solution approach, for which a genetic algorithm (GA) is proposed and integrated with local and large neighborhood search operators.

Extensive numerical experiments over different instances of the proposed problem indicate the effectiveness of the GA-based solution in reducing the solution time by a factor of ten compared to the CPLEX commercial solver while both approaches obtain solutions of similar quality.

This research is limited to location planning of defense assets leveraging geospatial data of Canada. However, the diverse Canadian geography is among the most challenging given broad variability in population density and the vast size of the country leading to a large search space having substantial variability in fitness performance.

Our findings demonstrate that for large-scale location searches, the GA with a local neighborhood search performs very well in comparison to CPLEX but at a fraction of the execution time.

Our findings provide insight into how to make improved decisions for the placement of deterrence and defense systems and the effectiveness of a hybrid metaheuristic in addressing associated computational challenges.

Throughout the world, healthcare policy has committed to delivering integrated models of care. The interface between primary–secondary care has been identified as a particularly challenging area in this regard. To that end, this study aimed to examine the issue of integrated care from general practitioners’ (GPs) perspectives in Ireland.

This multimethod study involved a cross-sectional survey and semi-structured interviews with GPs in the Ireland East region. A total of 1,274 GPs were identified from publicly available data as practising in the region, of whom the study team were able to identify 430 GPs with email addresses. An email invite was sent to 430 potential participants asking them to complete a 34-item online questionnaire and, for those who were willing, an in-depth interview was conducted with a member of the study team.

In total, 116 GPs completed the survey. Most GPs felt that enhancing integration between primary and secondary care in Ireland was a priority (n = 109, 93.9%). Five themes concerning the state of integrated care and initiatives to improve matters were identified from semi-structured interviews with 12 GPs.

The uniqueness of this study is that it uses a multimethod approach to provide insight into current GP views on the state of integrated care in Ireland, as well as their perspectives on how to improve integration within the Irish healthcare system.

This research investigates the types of critical business situations worked on by multinational corporations' senior managers and the competencies they employ to achieve desired outcomes.

The research is based on a database of N = 440 critical success incidents obtained from semi-structured interviews with a sample of 143 senior managers during competency-based consulting projects over a 25-year period from 1995 to 2019. Content analysis was used to categorise critical success incidents, by similarity of business intent, into groups labelled as critical business situations. Behavioural coding was used to identify competencies.

Nine critical business situations were found, and 10 competencies identified, accounting for 79% of behaviours displayed by the senior managers. Five competencies were found to be used more universally and five were more dependent on the specific critical business situation.

This research provides an overview of the initial stage of this topic. Further empirical validation including applicability in contemporary business contexts, testing of competency relationships with critical business situation criterion-referenced outcomes, and temporal and geographic usage will be presented in an accompanying study.

Knowledge of the specific competencies and their relative frequencies when displayed in different critical business situations provide the potential to give more targeted development suggestions to senior managers facing similar situations.

This study examines concurrently, both the business situations and associated competencies of senior managers, a group for whom extant research is significantly limited.

Construction is one of Australia’s largest employers of young people and the industry is facing a major labor shortage, with young people expected to account for much of the shortfall. Surprisingly however, there been little research into the pathways for young people into construction employment. The aim of this paper is to address this gap in research by exploring whether project-based intermediaries can support the development of disadvantaged young people’s trust in the often-problematic systems which are meant to help transition them into employment in construction.

Employing an in-depth case study approach, this research mobilizes theories of personalized and generalized trust to report the results of interviews with 15 sectoral leaders; focus groups with 12 young people working in construction; and interviews with 11 young people being transitioned into construction employment through a unique project-based intermediary developed by a major Australian construction company as part of its social procurement requirements.

Findings show that project-based intermediaries can play an important trust-building role in transitioning disadvantaged young people into work in construction. They do this by bridging a young person’s strong social ties (family and friendship) and weak social ties (with government and construction industry organizations), both of which can be problematic when used in isolation to seek employment in construction. By performing a crucial bridging role between a young person’s individual self-interest in acting alone to find work and their collective interest in being part of a collaborative group, the project-based intermediary creates a new form of linking social capital, enabling social procurement policies which target young people to work while also addressing wider systemic problems in Australia’s employment systems.

This research addresses the lack of employment research into young people in construction and the paucity of theory in social procurement research more broadly. It takes an original approach in aligning theories related to a duality of personalized trust and generalized trust seen against the duality of individual intentionality and agency (self-focused) and shared intentionality and agency (group-focused). By doing so it provides new conceptual and practical insights into the important role that construction project-based intermediaries like the one studied here can play in providing innovative cross-sector and collaborative solutions to the world’s growing youth unemployment crisis.

Our understanding of what intervention strategies are effective in improving the well-being of older adults experiencing elder abuse and self-neglect (EASN) is severely limited. The purpose of this study was to examine the use of a method called “teaming,” a wraparound approach to provide enhanced social support to older adults experiencing EASN. A teaming intervention was administered by advocates in Maine, USA, as a component of a larger community-based EASN intervention, Repair harm, Inspire change, Support connection, Empower choice (RISE), implemented to complement adult protective services.

Qualitative interviews and a focus group were conducted with RISE advocates (n = 4). A descriptive phenomenological approach involving two independent assessors was used to code transcripts into themes and subthemes.

Three domains were identified: (1) team and support forming process, which describes the development of a supportive network based on each client’s needs; (2) techniques, which refers to the specific strategies advocates use to promote collectivity and shared responsibility around the client; and (3) implementation challenges, which discusses the difficulties advocates encounter when using teaming with people experiencing EASN.

This study represents the first in-depth exploration of teaming in the context of EASN intervention. Preliminary findings on the experiences of advocates suggest that teaming is a beneficial approach to support the individualized needs of each client, and to promote improved and sustainable case outcomes for clients.

This study examined brand hate within the context of the (German) Bundesliga and (Australian) National Rugby League (NRL). The study pursued two research questions: (1) What types of brand hate were expressed towards the Bundesliga and the NRL? (2) To what extent did hateful comments attract more likes than non-hateful comments?

Brand hate was studied in the context of competition restrictions in 2020 due to the Covid-19 pandemic. We analysed reader comments posted below online articles published in three German (119 articles and 8,975 comments) and three Australian online newspaper articles (116 articles and 4,858 reader comments). The data were analysed deductively.

Non-parametric tests found that all types of brand hate were expressed. Approximately 85% of the hateful comments were mild, or more specifically, cold (n = 445 or approximately 53%), or cool (n = 250 or approximately 30%), or hot (n = 20 or approximately 2%). Hateful comments attracted more likes than non-hateful comments.

This study advances our understanding of how negative brand perceptions underpin an extreme negative emotional reaction in the form of brand hate. The empirical evidence enables brand managers to better address disgusted, angry, or contemptuous consumers (or stakeholders) and consider whether the feeling is enduring, strong or weak, and linked to either aggressive or passive behaviours.

The rapid, yet low-profit, expansion of the production capacity of state-owned enterprises (SOEs) represents a remarkable phenomenon. However, the motivation behind this key operational decision remains underexplored, especially concerning the prioritization of sociopolitical and financial goals in operations management. Drawing on the multiple-goal model in the behavioral theory of the firm (BTOF), the authors' study aims to examine how SOE capacity expansion is driven by performance feedback regarding the sociopolitical goal of employment provision and how SOEs differently prioritize sociopolitical and financial goals based on negative versus positive feedback on the sociopolitical goal.

The authors' study uses panel data on 826 Chinese SOEs in manufacturing industries from 2011 to 2019. The authors employ the fixed-effects model with Driscoll–Kraay standard errors, which are robust to heteroscedasticity, autocorrelation and cross-sectional dependence.

The authors find that SOEs increase capacity expansion as sociopolitical feedback becomes more negative, but they may not increase capacity expansion in response to positive sociopolitical feedback. Moreover, negative profitability feedback strengthens SOEs' capacity expansion in response to negative sociopolitical feedback. In contrast, negative profitability feedback weakens their response to positive sociopolitical feedback.

The authors' study offers a novel behavioral explanation of SOEs' operational decisions regarding capacity expansion. While the literature has traditionally assumed multiple goals as either hierarchical or compatible, the authors extend the BTOF's multiple-goal model to illuminate when firms pursue sociopolitical and financial goals as compatible (i.e. the activation rule) versus hierarchical (i.e. the sequential rule), thereby reconciling their tension in distinct performance situations. Practically, the authors provide fine-grained insights into how operations managers can prioritize multiple goals when making operational decisions. The authors' study also shows how policymakers can influence SOE operations to pursue sociopolitical goals for public benefit.

Machine learning (ML), and deep learning in particular, is gaining traction across a myriad of real-life applications. Portfolio management is no exception. This paper provides a systematic literature review of deep learning applications for portfolio management. The findings are likely to be valuable for industry practitioners and researchers alike, experimenting with novel portfolio management approaches and furthering investment management practice.

This review follows the guidance and methodology of Linnenluecke et al. (2020), Massaro et al. (2016) and Fisch and Block (2018) to first identify relevant literature based on an appropriately developed search phrase, filter the resultant set of publications and present descriptive and analytical findings of the research itself and its metadata.

The authors find a strong dominance of reinforcement learning algorithms applied to the field, given their through-time portfolio management capabilities. Other well-known deep learning models, such as convolutional neural network (CNN) and recurrent neural network (RNN) and its derivatives, have shown to be well-suited for time-series forecasting. Most recently, the number of papers published in the field has been increasing, potentially driven by computational advances, hardware accessibility and data availability. The review shows several promising applications and identifies future research opportunities, including better balance on the risk-reward spectrum, novel ways to reduce data dimensionality and pre-process the inputs, stronger focus on direct weights generation, novel deep learning architectures and consistent data choices.

Several systematic reviews have been conducted with a broader focus of ML applications in finance. However, to the best of the authors’ knowledge, this is the first review to focus on deep learning architectures and their applications in the investment portfolio management problem. The review also presents a novel universal taxonomy of models used.

This paper aims to provide a nuanced understanding of philosophies underpinning social innovation based on the action research strategies applied in the field.

Literature review was conducted to identify action research strategies referred to in the social innovation literature. Through stratified purposive sampling, the authors then selected nonprofit organizations, each closely associated with one of the strategies. Qualitative content analysis was applied to documents published by these organizations for an in-depth exploration of how the action research strategies frame the three dimensions of social innovation, namely, the product, process and empowerment dimensions.

The authors identified four broad action research strategies referred to in the social innovation literature. Each strategy inspires four distinct narratives of social innovation centered around key concepts: prototyping, evidence, asset-building and co-creation.

The methodology used is characterized by depth rather than scope. Although diverse types of documents were used, the documents are limited to publications by four institutions. A deductive approach using the categories should be used in future empirical research.

The paper contributes to the discussion about different schools and research agendas in the field of social innovation. In particular, the authors examine the action research strategies adopted in the field, shedding light on incompatible views and strategies within certain research clusters while identifying common ground between authors belonging to different schools.