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To replicate and extend research on psychopathy and intrinsic interpersonal preferences under the broader umbrella of affiliation, intimacy and antagonism, this paper aims to examine motivational correlates of psychopathy in a nonclinical sample (N = 125).

We used a multimethod design, including self-reports, a behavioral task and a physiological assessment of motive dispositions (automatic affective reactions to stimuli of interpersonal transactions measured with facial electromyography).

Results showed that self-reported psychopathy was negatively associated with self-reported intimacy motive. In the same vein, via the social discounting task, this paper found a negative association between psychopathy and a tendency to share hypothetical monetary amounts with very close others. Finally, regarding fEMG findings, multilevel analyses revealed that although individuals with low levels of psychopathy reacted more positively to affiliative stimuli, individuals with high levels of psychopathy reacted equally positively to both affiliative and antagonistic stimuli, and these results were robust across psychopathy measures. Results remained mostly unchanged on the subscale level.

These findings highlight the contribution of multimethod assessments in capturing nuances of motivation. Implicit physiological measures might be particularly sensitive in capturing motive dispositions in relation to psychopathy. Identifying mechanisms that foster positive connections between psychopathic traits and nonprosocial tendencies may be theoretically and clinically informative, with implications for forensic and penal practices.

The purpose of this study is to explore the principal research query and whether strategic foresight deployed by entrepreneurial firms in energy transition aims at crafting future readiness.

With a focus on entrepreneurial firms working in the alternative energy segment in the Indian context, the intent is to examine the deployment of strategic foresight by incumbent firms and their entrepreneurial journey. The authors have adopted the approach of Eisenhardt for this research. The area of interest for the authors entailing strategic foresight by entrepreneurial firms in energy transition aligns with defining features reflecting the aim of Eisenhardt method for this exploratory research coupled with constructivism.

While the future scenarios in the energy sector have to be necessarily multiple, their alignment with different geographic, economic, demographic and political outlooks shall be defined by the pathways niched through the deployment of strategic foresight for arriving at those scenarios.

Strategic foresight deployed by entrepreneurial firms has the potential to create future readiness through self-reliant sustainable economic value chains for local populace, thus propagating holistic development in remote regions.

This paper attempts to knit together the domains of strategic foresight, entrepreneurial firms and energy transition through case research and present the future thinking deployed for navigation in uncharted pathways by capturing the foresight component of these incumbent firms chosen through careful case selection. The narrative has been strengthened by the varied interviews across participants and the observations made by the authors during the research work.

With a start in the observation that there is a large variation in how companies interact with each other, the paper aims to anlayse the economic consequences of this variation. As the more extensive interaction is costly, the variation also indicates a variation in the economic dimension.

This is a conceptual paper.

Three different economic streams can be identified. Firstly, the interaction costs can be reduced by taking advantage of time and scope. Interaction over time give opportunity to use some of the costs as investments through creation of relationships. By using the same counterpart for several products, scope can be used to reduce interaction costs. Secondly, developed business relationships can be used to create relation revenues. The counterparts can use each other for developing better solutions and for development of knowledge. Finally, the actors can also get positive network effects. One example is the joint development with third parties such as sub-suppliers or customer’s customer.

The discussion ends in two major implications. One is the central role of managers and the other the crucial role of economic deals. Managers are crucial both to identify relevant cost and revenue items as well as to exploit them. Deals are important as it is only with direct counterparts where there are monetary streams. In all other relationships, there is only indirect consequences.

It is obvious that the type of cost and revenue streams identified above will require new and different economic tools. A base for this is given here.

The aim of this paper is to respond to a gap in the literature around resilience in later life for older people from minority groups of identity or experience. Specifically, it argues that we need to pay greater attention to how access to different types of social capital may leave some older people more or less able to cope with adverse events and how experiences of social exclusion can limit access to important networks of support during times of crisis.

This paper draws on research conducted to inform the resilience strategy of Greater Manchester in 2019, and specifically looked at how this strategy could better address the needs of the regions’ diverse ageing population. It used a qualitative design including focus groups with older women of Punjabi heritage living in Greater Manchester, interviews with staff from a community and voluntary organisation working with these women, and interviews with staff at an organisation supporting refugees and asylum seekers in Greater Manchester who specifically worked with older adults.

The research found that belonging to a minority group and experiences of social exclusion gave participants in this study both resources and vulnerabilities when it came to dealing with external shocks in later life. Whilst participants in this study had access to strong networks of bonding capital based on shared identity and experience, social exclusion often meant they faced barriers to accessing network of support outside of these communities.

Findings from this study have implications for both future research and policy. In the case of the latter there are implications for those working in resilience planning in terms of how to address the needs of diverse older populations. For researchers, this paper has implications for how we understand the impacts on inequality in later life particularly in the context of the COVID-19 pandemic.

The originality of this paper lies in its consideration of the impact of inequalities and social exclusion on the resilience of older people in times of crisis. It included older people from minority groups of identity and experience addressing an important gap in the literature.

Drawing on the social identity theory, this paper explores the impact of rider–driver ethnicity match on the driver’s expected ride satisfaction and willingness to perform, and rider’s trust on the driver.

The study relies on scenario-based online experiments with 291 ride-hailing drivers and 282 riders in the USA.

The findings indicate that ethnicity match between ride-hailing drivers and riders positively impact driver’s ride satisfaction and willingness to perform, and rider’s trust in the driver. The study also revealed a significant positive moderation effect of ethnic identity on the relationship of ethnicity match and those constructs.

While it may be challenging to influence an individual’s level of ethnic identity, managers can take steps to educate and train their employees regarding the impact of ethnic identity and discrimination, with a particular focus on those individuals who possess a strong sense of ethnic identity.

The findings of this research provide theoretical contributions to the existing literature on ride-hailing services and adds to the limited stream of logistics research that examines the impact of ethnicity on ride-hailing operations.

Communities representing groups of agents with similar interests or functions are one of the essential features of complex networks. Finding communities in real-world networks is critical for analyzing complex systems in various areas ranging from collaborative information to political systems. Given the different characteristics of networks and the capability of community detection in handling a plethora of societal problems, community detection methods represent an emerging area of research. Contributing to this field, the authors propose a new community detection algorithm based on the hybridization of node and link granulation.

The proposed algorithm utilizes a rough set-theoretic concept called closure on networks. Initial sets are constructed by using neighborhood topology around the nodes as well as links and represented as two different categories of granules. Subsequently, the authors iteratively obtain the constrained closure of these sets. The authors use node mutuality and link mutuality as merging criteria for node and link granules, respectively, during the iterations. Finally, the constrained closure subsets of nodes and links are combined and refined using the Jaccard similarity coefficient and a local density function to obtain communities in a binary network.

Extensive experiments conducted on twelve real-world networks followed by a comparison with state-of-the-art methods demonstrate the viability and effectiveness of the proposed algorithm.

The study also contributes to the ongoing effort related to the application of soft computing techniques to model complex systems. The extant literature has integrated a rough set-theoretic approach with a fuzzy granular model (Kundu and Pal, 2015) and spectral clustering (Huang and Xiao, 2012) for node-centric community detection in complex networks. In contributing to this stream of work, the proposed algorithm leverages the unexplored synergy between rough set theory, node granulation and link granulation in the context of complex networks. Combined with experiments of network datasets from various domains, the results indicate that the proposed algorithm can effectively reveal co-occurring disjoint, overlapping and nested communities without necessarily assigning each node to a community.

This study carries important practical implications for complex adaptive systems in business and management sciences, in which entities are increasingly getting organized into communities (Jacucci et al., 2006). The proposed community detection method can be used for network-based fraud detection by enabling experts to understand the formation and development of fraudulent setups with an active exchange of information and resources between the firms (Van Vlasselaer et al., 2017). Products and services are getting connected and mapped in every walk of life due to the emergence of a variety of interconnected devices, social networks and software applications.

The proposed algorithm could be extended for community detection on customer trajectory patterns and design recommendation systems for online products and services (Ghose et al., 2019; Liu and Wang, 2017). In line with prior research, the proposed algorithm can aid companies in investigating the characteristics of implicit communities of bloggers or social media users for their services and products so as to identify peer influencers and conduct targeted marketing (Chau and Xu, 2012; De Matos et al., 2014; Zhang et al., 2016). The proposed algorithm can be used to understand the behavior of each group and the appropriate communication strategy for that group. For instance, a group using a specific language or following a specific account might benefit more from a particular piece of content than another group. The proposed algorithm can thus help in exploring the factors defining communities and confronting many real-life challenges.

This work is based on a theoretical argument that communities in networks are not only based on compatibility among nodes but also on the compatibility among links. Building up on the aforementioned argument, the authors propose a community detection method that considers the relationship among both the entities in a network (nodes and links) as opposed to traditional methods, which are predominantly based on relationships among nodes only.

Aboriginal and Torres Strait Islander (Aboriginal) people are overrepresented in Australian prisons, where they experience complex health needs. A model of care was designed to respond to the broad needs of the Aboriginal prisoner population within the nine adult prisons across South Australia. The purpose of this paper is to describe the methods and findings of the Model of Care for Aboriginal and Torres Strait Islander Prisoner Health and Wellbeing for South Australia.

The project used a qualitative mixed-method approach, including a rapid review of relevant literature, stakeholder consultations and key stakeholder workshop. The project was overseen by a Stakeholder Reference Group, which met monthly to ensure that the specific needs of project partners, stakeholders and Aboriginal communities were appropriately incorporated into the planning and management of the project and to facilitate access to relevant information and key informants.

The model of care for Aboriginal prisoner health and wellbeing is designed to be holistic, person-centred and underpinned by the provision of culturally appropriate care. It recognises that Aboriginal prisoners are members of communities both inside and outside of prison. It notes the unique needs of remanded and sentenced prisoners and differing needs by gender.

Supporting the health and wellbeing of Indigenous prison populations can improve health outcomes, community health and reduce recidivism.

Only one other model of care for Aboriginal prisoner health exists in Australia, an Aboriginal Community Controlled Health Organisation-initiated in-reach model of care in one prison in one jurisdiction. The South Australian model of care presents principles that are applicable across all jurisdictions and provides a framework that could be adapted to support Indigenous peoples in diverse prison settings.

Renal failure is an end-stage consequence after persistent hyperglycemia during diabetic nephropathy (DN), and the etiology of DN has been linked to oxidative stress. The purpose of this research was to determine the beneficial synergistic effects of S-Allyl Cysteine (SAC) and Taurine (TAU) on oxidative damage in the kidneys of type 2 diabetic rats induced by hyperglycemia.

Experimental diabetes was developed by administering intraperitoneal single dose of streptozotocin (STZ; 65 mg/kg) with nicotinamide (NA; 230 mg/kg) in adult rats. Diabetic and control rats were treated with SAC (150 mg/kg), TAU (200 mg/kg) or SAC and TAU combination (75 + 100 mg/kg) for four weeks. The estimation of body weight, fasting blood glucose (FBG), oral glucose tolerance test (OGTT), oxidative stress markers along with kidney histopathology was done to investigate the antidiabetic potential of SAC/TAU in the NA/STZ diabetic group.

The following results were obtained for the therapeutic efficacy of SAC/TAU: decrease in blood glucose level, decreased level of thiobarbituric acid reactive substances (TBARS) and increased levels of GSH, glutathione-s-transferase (GST) and catalase (CAT). SAC/TAU significantly modulated diabetes-induced histological changes in the kidney of rats.

SAC/TAU combination therapy modulated the oxidative stress markers in the kidney in diabetic rat model and also prevented oxidative damage as observed through histopathological findings.

Factors that may influence risk and/or vulnerability to young people’s involvement in terrorism are currently unclear. Understanding the factors that contribute to a young person’s risk profile is a high priority for Youth Justice Services to enable the development of targeted interventions and subsequent risk reduction. The purpose of this study is to systematically identify and critically review studies relating to young peoples’ involvement in terrorism to understand potential risk and/or vulnerability factors and the implications for intervention.

Literature was evaluated using the systematic review method. Twelve papers were selected for the systematic review according to the inclusion criteria.

Twelve factors emerged that indicated relevance to terrorism by young people and were combined into five overarching themes: contextual, social, psychological factors, trauma and use of time.

This systematic review is one of the first of its kind relating to terrorism by young people. The reported findings will be valuable to practitioners seeking to understand the risk and vulnerability factors related to terrorism by young people and the implications for intervention. Directions for future research are explored.