Analysis of the Disparity between Recurring and Temporary Collaborative Performance: A Literature Review between 1994 and 2021

Performance frameworks are common ways to guarantee the success of a collaboration by assessment/improvement of the organisations. However, collaborative performance in recurring collaborations (RC) and temporary ones (TC) are being measured differently due to their inherent characteristics. A systematic review of 282 existing studies, from 2000 onwards, into collaborative networks divided between RC and TC based on the duration of collaboration and the application of the studies was performed. The result gave rise to the thematic analysis of the textual narratives, as well as a quantitative meta-summary of the synthesis. The review shows two different approaches to guarantee the performance of the collaboration. The first group provide a recipe for success by recognizing the causal relationship between nine collaborative measures, including information and risk sharing, trust, commitment, agility, power balance, leadership, prior-experience, and alignment. The second group ensures the success of collaboration by selecting suitable partners based on their previous performance emerging through synergy, readiness, agility and internal–external factors. The reasoning behind these differences are discussed and the current gaps in research are outlined

Using simulation gaming to validate a mathematical modeling platform for resource allocation in disasters

The extraordinary conditions of a disaster require the mobilisation of all available resources, inducing the rush of humanitarian partners into the affected area This phenomenon called the proliferation of actors, causes serious problems during the disaster response phase including the oversupply, duplicated efforts, lack of planning In an attempt to reduce the partner proliferation problem a framework called PREDIS (PREdictive model for DISaster response partner selection) is put forward to configure the humanitarian network within early hours after disaster strike when the information is scarce To verify this model a simulation game is designed using two sets of real decision makers (experts and non-experts) in the disaster Haiyan scenario The result shows that using the PREDIS framework 100% of the experts could make the same decisions less than six hours comparing to 72 hours Also between 71% and 86% of the times experts and non-experts decide similarly using the PREDIS framewor

A Multi-Attribute decision support system for allocation of humanitarian cluster resources , based on decision makers’ perspective

The rush of the humanitarian suppliers into the disaster area proved to be counter-productive. To reduce this proliferation problem, the present research is designed to provide a technique for supplier ranking/selection in disaster response using the principles of utility theory. A resource allocation problem is solved using optimisation based on decision maker’s preferences. Due to the lack of real-time data in the first 72 h after the disaster strike, a Decision Support System (DSS) framework called EDIS is introduced to employ secondary historical data from disaster response in four humanitarian clusters (WASH: Water, Sanitation and Hygiene, Nutrition, Health, and Shelter) to estimate the demand of the affected population. A methodology based on multi-attribute decision-making (MADM), Analytical Hierarchy processing (AHP) and Multi-attribute utility theory (MAUT) provides the following results. First a need estimation technique is put forward to estimate minimum standard requirements for disaster response. Second, a method for optimization of the humanitarian partners selection is provided based on the resources they have available during the response phase. Third, an estimate of resource allocation is provided based on the preferences of the decision makers. This method does not require real-time data from the aftermath of the disasters and provides the need estimation, partner selection and resource allocation based on historical data before the MIRA report is released

Serious Games as a Validation Tool for Decision Support System in Disaster Management—Case of PREDIS

Validation of Decision Support System (DSS) through simulation games or serious game is one way of validating the cognitive capability models through expert opinion. Here, this technique is used to validate PREDIS as a model for DISaster response supplier selection (PREDIS), previously introduced by authors. This DSS is a combination of a PREDictive component (PRED) for predicting the disaster human impact, an estimation component to Estimate the DISaster (EDIS) needs and optimised for supplier based resource allocation. This paper aims to test the suitability of the PREDIS model further for decision-making in the disaster situation. A quasi-experiment design embedded in a participatory simulation game is conducted to compare the opinion of equal sample of 22 experts and non-experts. The following questions are put forward. First, “Does PREDIS model assists the decision makers to make the same decisions faster”. Second, “Does the PREDIS model assist the non-experts as simulated decision makers to decide like an expert”. Using AHP weights of decision makers’ preference as well as borda counts, the decisions are compared. The result shows that PREDIS helps to reduce the decision making time by experts and non-experts within 6 h after the disaster strike, instead of 72 h. It also assist 71% of the non-expert to make similar de-cision as experts. In summary, the PREDIS model has two major capabilities. It enables the experts and non-experts to predict the disaster results immediately and using the widely available data. It also enables the non-experts to decide almost the same as the experts; either in predicting the human impact of the disaster and estimating the needs or in selecting suitable suppliers

The Partner Proliferation Problem in Disaster Response Networks

The extraordinary conditions of a major disaster require mobilization of all available resources. This necessity, together with the stretch in the response budget in the public sector and the difficulty of raising funds in the private sector, draws various humanitarian actors with widely diverse capabilities into the affected area. This phenomenon is called the proliferation of actors, or the partner proliferation problem. This problem can have serious counterproductive effects on disaster operations, such as unmanaged independent efforts that lead to a duplication and confusion of effort. The disaster response phase generally lacks the contributions of a long-term outlook and pre-planning, which are adopted in existing long-term structures such as supply chains. The aim of this paper is to provide a structured review of the partner proliferation problem in the response phase and to suggest alternative courses of action for restructuring the disaster response network. Drawing on the concept of Virtual Organizations, the paper concludes that short-term collaboration is a suitable structure for the response phase. Short-term collaboration in the response phase is complementary to long-term collaborations such as supply chains in the recovery, mitigation, and preparedness phases of the disaster cycle. To that end, a conceptual framework is provided for re-structuring the disaster response network to align with the other phases of disaster management. Finally, further research is suggested to develop a decision making tool for partner configuration to meet the specific requirements of a disaster response network

Reflecting on the experiential journey: Creating, developing and understanding leadership in Equality, Diversity and Inclusion within a Faculty

London South Bank University (LSBU) appointed equality, diversity and inclusion (EDI) leads in each of its Schools in 2021/22. The leaders’ remit was to deliver and embed LSBU’s EDI strategy cognisant of the uniqueness of the Schools. LSBU’s pioneering EDI strategy has been recognised as a symbol of excellence and shortlisted for two national EDI awards. The composition of LSBU’s academic senior management does not yet fully reflect the intersectional diversity of the organisation. Therefore, this session aims to share the experience of LSBU’s EDI leads and facilitate discussion about the benchmarks for achieving leadership in EDI within a School

Prejudice, terrorism, and behavior therapy

Behavior therapy is relevant not just to the needs of victims of terrorism, but also to the understanding and modification of psychological processes that lead to the perpetration of terrorist acts. A key process of this kind is prejudice. In this paper, human prejudice is defined as the objectification and dehumanization of people as a result of their participation in evaluative verbal categories. Prejudice is difficult to deal with because: 1) The same verbal processes that give rise to prejudice are massively reinforced in dealing with the external environment; 2) Virtually all cultures openly amplify this process with stigmatized groups; 3) Humans are historical beings and verbal/cognitive networks once formed tend to maintain themselves; and 4) Many of the things humans do to change or eliminate undesirable verbal categorical processes are either inert or prone to making these processes more resistant to change. Mindfulness, cognitive defusion, acceptance, and valued action are suggested as alternative methods of fighting the war behavior therapy needs to help human society win: not just a war on terrorism, but a war on prejudice

Development and Validation of the Counterfactual Thinking for Negative Events Scale

We examined the psychometric properties of the newly created Counterfactual Thinking for Negative Events Scale (CTNES) in two studies involving university undergraduates. In Study 1 (N = 634), factor analysis revealed four subscales that correspond with various types of counterfactual thinking: Nonreferent Downward, Other-Referent Upward, Self-Referent Upward, and Nonreferent Upward. The subscales were largely orthogonal and had adequate internal consistency and test–retest reliability. The CTNES subscales were positively correlated with a traditional method of assessing counterfactual thinking and were related as expected to contextual aspects of the negative event, negative affect, and cognitive style. In Study 2 (N = 208), we further examined the validity of the scale and demonstrated that the subscales were sensitive to an experimental manipulation concerning the type of negative event participants recalled. Moreover, the CTNES subscales correlated in the expected direction with measures of coping and cognitive style

The role of the P2X7 receptor on bone loss in a mouse model of inflammation-mediated osteoporosis

In inflammatory autoimmune diseases, bone loss is frequent. In most cases, secondary osteoporosis is caused by treatment with systemic glucocorticoid. However, the pathogenesis behind the bone loss is presumed multifactorial. We aimed to elucidate the role of the P2X7 receptor on bone mineral density (BMD), microarchitecture, and bone strength in a standardized mouse model of inflammation-mediated osteoporosis (IMO). In total 146 mice completed our protocol, 70 wild type (WT) mice and 76 P2X7−/− (knockout, KO). BMD at the femur and spine decreased significantly from baseline to day 20 in the WT IMO mice (p < 0.01). In the WT vehicle, KO vehicle and KO IMO, no significant BMD changes were found. Bone strength showed a lower mid-shaft max strength (p = 0.038) and also a non-significant trend towards lower strength at the femoral neck of the WT IMO group. Trabecular bone volume fraction (BV/TV) and connectivity density (CD) after 20 days were significantly decreased in the WT IMO group (p = 0.001). In contrast, the WT vehicle and KO vehicle, BV/TV and CD did no change at 20 days. Cortical bone revealed no significant microarchitectural changes after 20 days in the WT IMO group, whereas the total cortical area increased significantly in WT vehicle and KO IMO after 20 days (5.2% and 8.8%, respectively). In conclusion, the P2X7 receptor KO mice did not respond to inflammation with loss of BMD whereas the WT mice had a significant loss of BMD, bone strength and trabecular microarchitecture, demonstrating a role for the P2X7 receptor in inflammatory bone loss