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This paper presents a realist evaluation of leadership within an integrated care system (ICS) in England. This paper aims to examine which aspects of leadership are effective, for whom, how and under what circumstances.

Realist evaluation methodology was used, adopting prior realist review findings as the theoretical framework to refine explanations of how and why leadership within an ICS is effective. Between January and November 2023, 23 interviews with ICS leaders took place, alongside 7 meeting observations and documentary analysis. The Realist And Metanarrative Evidence Syntheses: Evolving Standards (RAMESES) guidance informed the study design, conduct and reporting.

The findings highlight two overarching infrastructural contexts influencing leadership in ICSs: the impact of the post-COVID-19 pandemic legacy and the differences between health and social care regulatory and financial environments. Findings demonstrate that ICS leaders identified a strong sense of purpose as crucial for guiding decisions and creating a psychologically safe environment for open, honest discussions, fostering calculated risk-taking. Whilst a shared vision directed priority setting, financial pressures led to siloed thinking. Leadership visibility was linked to workforce morale, with supportive leadership boosting morale amidst evolving ICS landscapes and confidence in data-driven decisions supported prevention activities. However, financial constraints hindered responsiveness and innovation in addressing health inequalities.

By examining ICS leadership post-COVID-19 pandemic and amidst varying regulatory and financial environments, this study contributes to the emerging literature on systems leadership and offers practical guidance for leaders navigating the complexities of integrated care.

In the uncertain business environment, the supply chains are under pressure to balance routine operations and prepare for adverse events. Consequently, this research investigates how artificial intelligence is used to enable resilience among supply chains.

This study first analyzed the relationship among different characteristics of AI-enabled supply chain and how these elements take it towards resilience by collecting the responses from 27 supply chain professionals. Furthermore, to validate the results, an empirical analysis is conducted where the responses from 231 supply chain professionals are collected.

Findings indicate that the disruption impact of an event depends on the degree of transparency kept and provided to all supply chain partners. This is further validated through empirical study, where the impact of transparency facilitates the mass customization of the procurement strategy to Last Mile Delivery to reduce the impact of disruption. Hence, AI facilitates resilience in the supply chain.

This study adds to the domain of supply chain and information systems management by identifying the driving and dependent elements that AI facilitates and further validating the findings and structure of the elements through empirical analysis. The research also provides meaningful implications for theory and practice.

This chapter proposes a framework explaining the evolution of property rights in land, assuming two unequal groups of actors: elites possessing means of violence and nonelite land cultivators. It then shows that all intermediary groups – those acting between the chief violence holders (i.e., rulers) and cultivators – are in effect (greater or lesser rulers and cultivators). Using this framework, this chapter explains most of the developments in the evolution of land rights in 19th century colonial Bengal. The proposed theoretical framework explains how different, hierarchically arrayed claims over land and the resulting allocation of rights was a function of asymmetries in power and information between three groups: rulers, direct cultivators, and intermediaries without their own coercive means. It explains inter alia why private property in land was not likely to emerge in this configuration, and that the (non-private) property rights of the other two groups wouldn't attain stability as long as rulers perceived an information asymmetry. In such a situation, land rights would attain neither “private,” nor “public” character.

This study aims to examine the applicability of Hartmann et al.’s (2018) service ecosystem framework to the day-to-day management of the modern sales force. The authors provide a review of the framework, acknowledging its strengths, while also indicating areas for advancement. The authors conclude with recommendations to the framework and indicate opportunities where future research could advance sales theory.

A review of the theoretical underpinnings of the service ecosystem framework is weighed against the established roles and responsibilities of the modern sales force in the literature.

The ability of the framework to capture the multi-level, multi-actor and dynamic aspects of sales represents an improvement in the conceptualization of selling is critical. Suggestions around the refinement for meso-level sales interactions and a more pliant application of service dominant-logic are offered.

The suggested extensions of the framework continue the advancement of novel theorization for the field of sales. Priorities for future research include consideration of ethical implications of the framework and formulations of new management strategies reflective of the broad and dynamic properties of the ecosystem conceptualization.

This paper provides managerial guidelines and implications tied specifically to the thick and thin crossing points and how they may impact employee decision-making.

To the best of the authors’ knowledge, this study is the first to pointedly examine the service ecosystem framework with respect to established principles of managing a modern sales force.

In this chapter, I will outline the labels of giftedness and underachievement and present the theoretical debates surrounding these labels. A historicist examination of these labels follows, highlighting how the gifted underachievement (GUA) label emerges through the negation of “giftedness.” Subsequently, I explore the concept of GUA and its negative connotations, stemming from the positive valuation inherent in the term “giftedness” and its implications for what is considered “normal.” This chapter also reviews perspectives on shifting the focus away from the individual within the current paradigm of labeling giftedness and explores insights from systemic thinking and symbolic interactionism (SI). The conclusion underscores the necessity of a symbolic interactionist perspective to address the gaps in research on the labeling of giftedness and underachievement. Finally, I propose a generic definition that can be used in GUA research in the light of SI.

This review identifies low self-concept clarity (SCC) as a source of consumer vulnerabilities and explains how the uncertainty associated with low SCC leads to processes that result in materialistic behaviors and overspending, product dissatisfaction, and potential self-harm. Processes include uncertainty reduction efforts through symbolic self-completion and social comparison, responses to everyday self-concept threats that result in feelings of deficiency and reduced consumption constraints, and susceptibility to interpersonal and marketer influences. In addition, the negative association between SCC and materialism is explained, risk factors for low SCC are described, and the need for research to help low SCC consumers deal with their vulnerabilities is explored.

The purpose of this research is to establish a robust numerical framework for the calibration of macroscopic constitutive parameters, based on the analysis of polycrystalline RVEs with computational homogenisation.

This framework is composed of four building-blocks: (1) the multi-scale model, consisting of polycrystalline RVEs, where the grains are modelled with anisotropic crystal plasticity, and computational homogenisation to link the scales, (2) a set of loading cases to generate the reference responses, (3) the von Mises elasto-plastic model to be calibrated, and (4) the optimisation algorithms to solve the inverse identification problem. Several optimisation algorithms are assessed through a reference identification problem. Thereafter, different calibration strategies are tested. The accuracy of the calibrated models is evaluated by comparing their results against an FE2 model and experimental data.

In the initial tests, the LIPO optimiser performs the best. Good results accuracy is obtained with the calibrated constitutive models. The computing time needed by the FE2 simulations is 5 orders of magnitude larger, compared to the standard macroscopic simulations, demonstrating how this framework is suitable to obtain efficient micro-mechanics-informed constitutive models.

This contribution proposes a numerical framework, based on FE2 and macro-scale single element simulations, where the calibration of constitutive laws is informed by multi-scale analysis. The most efficient combination of optimisation algorithm and definition of the objective function is studied, and the robustness of the proposed approach is demonstrated by validation with both numerical and experimental data.

Though anger as an emotion is an important determinant of negotiation outcomes, the extant literature presents mixed and contradictory findings. We propose that the effect of anger in intercultural negotiations depends on the power and personality orientation of the counterpart negotiators.

Based on data from 429 working professionals in the USA, we conducted two experimental studies in which they responded to an angry Chinese counterpart.

We find that the intercultural negotiation outcomes depend on the three-way interaction between anger, power and personality orientation. Our findings suggest that US action-oriented negotiators conceded more in a high-power condition than in a low-power condition while responding to an angry Chinese counterpart, while US state-oriented negotiators showed no difference in concession size regardless of their power and counterpart’s anger.

Our work is unique in establishing three-way interactive effects of power, personality and emotions in intercultural negotiation outcome relationships. Our findings are specific to an intercultural negotiation context consisting of negotiators from low-status, low-power-distance countries (e.g. the USA) with their counterparts from high-status, high-power-distance countries (e.g. China).

This paper aims to investigate the bond strength of metakaolin-based geopolymer mortar with cement mortar.

The mortar-mortar bond strength is assessed by slant shear and split tensile tests; pure shear strength is evaluated by Mohr’s criterion for result validation. Metakaolin-based geopolymer mortar is cast over the cured cement mortar specimen with two levels of surface roughness: smooth or grooved interface. The influence of the alkaline solution to metakaolin ratio on geopolymer bond strength is studied. Compressive strength, ultrasonic pulse velocity, permeability and flow table tests are also performed.

The paper’s findings are highlighted as follows: (1) strong mortar-mortar bond properties achieved for geopolymer mortar in all tests and conditions and validated by Mohr’s criterion and pure shear, (2) a lower alkaline solution to metakaolin ratio achieves higher bond strength to Portland cement mortar and (3) geopolymer mortar has higher compressive strength and ultrasonic pulse velocity than cement mortar at all curing ages; additionally, it is more flowable and less permeable.

The full replacement of Portland cement with metakaolin, a more sustainable cementitious material, will contribute to the decarbonization of the construction industry.

Limited research has been carried out on the bond strength of metakaolin-based geopolymer mortar to Portland cement mortar. Also, computing the pure shear using Mohr’s circle criterion of metakaolin-based geopolymer to validate the results can be considered original.

The present study integrates inclusive leadership and protection motivation theory to propose a new model predicting employees' intention to work from home during an emergency situation such as the COVID-19 pandemic.

A questionnaire was developed to collect data from 939 Taiwanese and Vietnamese office employees using a non-probability convenience sampling method. A total of 887 valid questionnaires were used for further analysis. The data were analysed following a two-stage structural equation modelling using SPSS 22 and AMOS 20 software. The validity and reliability of the instrument were tested and ensured.

The results revealed that inclusive leadership and factors related to protection motivation theory– including perceived severity and perceived vulnerability – have positive direct and indirect effects on employees' work-from-home intentions through the mediating role of employees' work-from-home-related attitudes. Protection motivation theory factors were found to have a stronger effect on employees' work-from-home intention than inclusive leadership. Differences in the relationship between perceived vulnerability, perceived severity and employees' intentions towards working from home were also discovered among participants from the two studied countries.

The integration of inclusive leadership and protection motivation theory brings into light what will drive employees' intention to work from home during an emergency situation. The present study has several theoretical and practical implications for scholars, governments, managers and policymakers that can help them improve management policies for working from home in the future.

Based on integrating inclusive leadership and protection motivation theory to explore employees' intention to work from home during an emergency situation, the present study demonstrated that inclusive leadership and protection motivation theory should be considered for studies on working from home in a pandemic setting.