A multi-layered approach to surfacing and analysing organisational narratives : increasing representational authenticity

This paper presents an integrated, multi-layered approach to narrative inquiry, elucidating the evolving story of organisational culture through its members and their physical, textual, linguistic and visual dialogue. A dynamic joint venture scenario within the UK hi-technology sector was explored to advance understanding of the impact of transformation level change, specifically its influence on shared belief systems, values and behavioural norms. STRIKE – STructured Interpretation of the Knowledge Environment is introduced as an innovative technique to support narrative inquiry, providing a structured, unobtrusive framework to observe, record, evaluate and articulate the organisational setting. A manifestation of narrative in physical dialogue is illuminated from which the underlying emotional narrative can be surfaced. Focus groups were conducted alongside STRIKE to acquire a first order retrospective and contemporaneous narrative of culture and enable cross-method triangulation. Attention was given to non-verbal signals such as Chronemic, Paralinguistic, Kinesic and Proxemic communication and participants were also afforded opportunities to develop creative output in order to optimise engagement. Photography was employed to enrich STRIKE observation and document focus group output, affording high evidential value whilst providing a frame of reference for reflection. These tools enable a multiplicity of perspectives on narrative as part of methological bricolage. Rich, nuanced and multi-textured understanding is developed, as well as the identification of connections, timbre and subjugated knowledge. A highly emotional and nostalgic context was established with actors’ sense of self strongly aligned with the pre-joint venture organisation and its brand values, norms and expectations. Credibility and authenticity of findings is enhanced through data triangulation indicating traceability across methods, and from the contextual preservation attained through STRIKE. The multi-layered approach presented can facilitate researcher reflexivity and sense-making, while for the audience, it may be employed to help communicate and connect research findings. In particular, STRIKE demonstrates utility, quality and efficacy as a design artefact following ex-post evaluation. This systematic method of narrative inquiry is suitable for standardisation and alongside a diagnostic/prescriptive capacity, affords both researcher and practictioner value in its application

Mapping the ideological networks of American climate politics

How do we understand national climate change politics in the United States? Using a methodological innovation in network analysis, this paper analyzes discussions about the issue within the US Congress. Through this analysis, the ideological relationships among speakers providing Congressional testimony on the issue of climate change are mapped. For the first time, issue stances of actors are systematically aggregated in order to measure coalitions and consensus among political actors in American climate politics in a relational way. Our findings show how consensus formed around the economic implications of regulating greenhouse gases and the policy instrument that should do the regulating. The paper is separated into three sections. First, we review the ways scholars have looked at climate change policymaking in the United States, paying particular attention to those who have looked at the issue within the US Congress. Next, we present analysis of statements made during Congressional hearings on climate change over a four-year period. Our analysis demonstrates how a polarized ideological actor space in the 109th Congress transforms into a more consensual actor landscape in the 110th Congress, which is significantly less guided by partisan differences. This paper concludes by discussing how these findings help us understand shifting positions within American climate politics and the implications of these findings

River basin planning project: social learning (Science Report SC050037/SR1)

This report documents the findings of a 12-month Environment Agency science project on social learning for river basin planning. Our aim was to use social learning approaches and soft system methods to inform the development of the River Basin Planning Strategy and improve the effectiveness of the Environment Agency's Water Framework Directive (WFD) Programm

Interpersonal Process Differentiating Patient-Therapist Dyads with High Versus Low Convergence in Alliance Ratings

Objective: In a study of cognitive behavioral therapy (CBT) for generalized anxiety disorder (GAD), greater early patient-therapist convergence on post-session perceptions of their shared alliance quality was associated with better subsequent outcomes (Coyne et al., 2018). To further understand this evidence-based process, the present study examined whether in-session interpersonal microprocesses differentiated dyads known to possess high versus low early alliance convergence. First, I hypothesized that high versus low convergence dyads would be characterized by more overall positive interpersonal complementarity; moreover, in light of an interpersonal vulnerability associated with GAD (i.e., high deference to others), I investigated whether a specific positive complementary sequence (i.e., the patient asserting and separating from the therapist’s influence, and the therapist responding with affirmation and understanding) was more representative of high versus low convergence. Second, given their proclivity for misunderstanding and frustration (e.g., mixed messages of friendliness and hostility), I hypothesized that fewer complex communications would characterize the high versus low convergence dyad. Finally, given its generally positive influence on close relationships, I predicted that therapists in the high versus low convergence group would engage in more self-disclosure. Method: I selected 8 high and 8 low convergence dyads from Coyne et al.’s (2018) sample. The index of early alliance convergence was derived from patient and therapists’ session-by-session ratings (from sessions 2-8) on their respective version of the Working Alliance Inventory-Short Form. To assess the interpersonal processes across 3 of these early-treatment sessions, independent raters applied the Structural Analysis of Social Behavior. Results: Counter to my hypothesis, there was no difference in positive complementarity between the alliance convergence dyads. However, as predicted, the mean probability of the specific positive complementarity sequence occurring in the high convergence dyads was 0.79 SDs greater than in the low convergence dyads. Also counter to my hypotheses, there was no difference in the frequency of complex communications or therapist self-disclosures between the alliance convergence dyads. Conclusions: For people receiving CBT for GAD, alliance convergence patterns—a dyadic factor that explains unique variance in patient improvement—may be distinguished more by specific, pathology-relevant patient-therapist sequential exchanges than overall levels of interpersonal processe

A triangulation approach for design research

Triangulation has been adopted in social science in the study of the same phenomenon through applying and combining several data sources, research methods, investigators, and theoretical schemes. From a post-positivism view point, this paper presents a triangulation approach in design research from two perspectives, data sources and research methods. Data triangulation was achieved through collecting data from multiple sources including company design documents, student design projects, and company design projects. Different research methods, e.g. interview, content analysis, protocol analysis, and questionnaire, were used to conduct data collection and analysis into a particular aspect of design, the nature of coupling design artefact and process knowledge. It was found that triangulation can provide an effective means for design research

Dogs are not better than humans at detecting coherent motion

The ability to perceive motion is one of the main properties of the visual system. Sensitivity in detecting coherent motion has been thoroughly investigated in humans, where thresholds for motion detection are well below 10% of coherence, i.e. of the proportion of dots coherently moving in the same direction, among a background of randomly moving dots. Equally low thresholds have been found in other species, including monkeys, cats and seals. Given the lack of data from the domestic dog, we tested 5 adult dogs on a conditioned discrimination task with random dot displays. In addition, five adult humans were tested in the same condition for comparative purposes. The mean threshold for motion detection in our dogs was 42% of coherence, while that of humans was as low as 5%. Therefore, dogs have a much higher threshold of coherent motion detection than humans, and possibly also than phylogenetically closer species that have been tested in similar experimental conditions. Various factors, including the relative role of global and local motion processing and experience with the experimental stimuli may have contributed to this result. Overall, this finding questions the general claim on dogs' high performance in detecting motion

A participative research for learning methodology on education doctoral training programmes

Purpose – This paper aims to outline a participative approach to researching education doctoral students’ trajectories that functions both as a form of training in research methodology and as a means of reflection on the doctoral trajectory and what doctoral students have brought to the doctoral process through their experience. Design/methodology/approach – Ten participants formed dyads and acted as both researchers and subjects of research, using narrative accounts and interviews. The collaborative approach aimed to allow “hands-on” experience of the selected methods, as well as full engagement in negotiating each stage of the project. Findings – Project group meetings and the data generated by participants provided a rich source of learning about methodological issues in education research, in addition to the personal understandings emerging from such a project. Originality/value – This project reports an approach to “hands-on” learning of methodological and ethical issues within doctoral development programmes that could be adapted for use on similar programmes. It suggests an alternative to the more common forms of doctoral training (such asexposition, discussion, reading, or simulation) that is of real value to doctoral students in that it enables deep reflection on the journeys that have brought students to doctoral study, whilst at the same time providing a rich resource for methodological learning.</p

Two patterns of opposition: Party Group Interaction in the Bavarian State Parliament

Most research on parliamentary opposition focuses on constitutional and institutional aspects. This article argues that these approaches are limited in explaining differences between opposition parties. A case study of the Bavarian State Parliament, shows that there is support for the assumption that complex patterns of a number of factors, such as individual party groups’ ideology, history, their members’ socio-demographic background, and their informal rules of engagement, influence the way opposition parties behave. The study shows distinctive differences between the appearance and the strategies employed to influence the majority’s decision-making. The Social Democrats, a traditional mass party with over 40 years in opposition, focused on a strategy of professional, subject-oriented co-operation within parliament. The Greens chose confrontational power policies that had their main effect outside parliament. This stands in line with the party’s origin in grassroots movements and its culture of conflict resolution. Those findings raise the question of how party identities and policies coincide with the preference of one opposition strategy over another and they contribute to the discussion of how parliamentary behaviour and representative roles are interwoven

A Multiple Criteria Framework to Evaluate Bank Branch Potential Attractiveness

Remarkable progress has occurred over the years in the performance evaluation of bank branches. Even though financial measures are usually considered the most important in assessing branch viability, we posit that insufficient attention has been given to other factors that affect the branches’ potential profitability and attractiveness. Based on the integrated used of cognitive maps and MCDA techniques, we propose a framework that adds value to the way that potential attractiveness criteria to assess bank branches are selected and to the way that the trade-offs between those criteria are obtained. This framework is the result of a process involving several directors from the five largest banks operating in Portugal, and follows a constructivist approach. Our findings suggest that the use of cognitive maps systematically identifies previously omitted criteria that may assess potential attractiveness. The use of MCDA techniques may clarify and add transparency to the way trade-offs are dealt with. Advantages and disadvantages of the proposed framework are also discussed.