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This study aims to identify the archetypes, moral foundations and plots associated with veganism through the stories told by vegan bloggers and the effect on mainstreaming of this ideology.

Narrative data was collected from 15 publicly available vegan blogs. Underlying archetypes, morals and story plots were identified and presented as a “story re-told,” highlighting the context and content of what was being said by the protagonists and associated meanings.

The analysis revealed three moral foundations on which vegan ideology is built: sanctity of life, enacting the authentic self and freedom. A universal hero archetype was also unearthed; however, the moral orientation of the storyteller (agency vs communal) dictated how these morals and archetypes were expressed.

Through the use of common story archetypes, master plots and moral foundations, a deeper understanding of vegans and the choices they make is facilitated, thus making vegan ideology appear less threatening. Storytelling plays an important role in establishing connections through commonality.

This study applies cultivation theory, storytelling analysis and archetype theory to reveal how vegan bloggers counteract mass media cultivation of vegan stereotypes through the stories they tell. We offer a more robust description of vegans, moving beyond stereotypes, and the morals driving behavior. Moreover, a unique mechanism of mainstreaming is exposed that shows vegans connect with people by tapping into universal archetypes and morals that anyone can relate to and relive.

Innovation ecosystems (IEs) have attracted the attention of policymakers and researchers because of their potential to positively affect territories, creating shared value. However, due to the fragmentation of IEs, how this happens in different IEs has been explored only partially. This research aims to bridge this gap, aiming to support policymakers in understanding how to foster shared value in diverse IEs.

The paper identifies, based on the literature, two “drivers of aggregation” of IE's actors as key dimensions characterizing shared value in IEs, namely physical proximity and dominant issue. If these are combined, three archetypes emerge: Hub- and Chain-Driven, Place-Driven, Competence- and Issue-Driven IEs.Then, elements useful for understanding shared value creation in these archetypes are framed and studied in real cases.

Results reveal that aggregation drivers affect shared value creation, which differ among archetypes: in Competence- and Issue-Driven IEs alignment is challenged by the low physical proximity, which in Place-Driven IEs is high, but not enough to grant shared value; in Hub- and Chain-Driven IEs, the hub is the orchestrator, representing both a driver and a risk.

Differences in shared value creation processes relate to the set-up of the IE, which has relevant implications for policy definition. In Competence- and Issue-Driven IEs, policies at diverse levels align in funding and promoting the IE; in Place-Driven IEs, policies support anchors' development on-site; in Hub- and Chain-Driven IEs, policies, sometimes absent, should foster partnerships for projects for the territory, IE's enlargement and resilience.

A huge amount of data are produced in the agriculture sector. Due to the huge number of these datasets it is necessary to use data analysis techniques in order to comprehend the data and extract useful information. The purpose of this paper is to measure, archetype and mine olea europaea production data.

This work applies three different data mining techniques to data about Olea europaea var. media oblonga from the island of Thassos, at the northern part of Greece. The data were from 1,063 farmers from three different municipalities of Thassos, namely Kallirachi, Limenaria and Prinos and concerned the year 2010. They were analysed using the classification algorithm OneR, the clustering algorithm k‐means and the association rule mining algorithm, Apriori from the WEKA data mining package. Also, new measures which quantify the performance of the productions of olives and oil are applied. Finally, archetypal analysis is applied in order to distinguish the most typical/stereotype farms for each region and describe their specific characteristics.

The results indicate that organic cultivation could improve the production of olives and olive oil. Furthermore, the climate differences among the three municipalities seems to be a factor involved in production efficacy.

It is the first time that data from the island of Thassos have been analysed systematically using a variety of data mining methods. Also, the measures proposed in the paper in order to analyse the data are new. Furthermore, archetypal analysis is proposed as a method to extract sterotypes/representative farms from the dataset.

The purpose of this paper is to apply a systems thinking methodology to analyse Indonesia’s new and renewable energy (NRE) electricity sector to describe the complex interrelations between its actors and variables, identify the systemic patterns and formulate recommendations for the policymakers.

Systems thinking methodology is used to observe the NRE electricity system and compile the corresponding data into a meaningful diagram to describe and recommend solutions for the sector’s issues. Causal loop diagram is used as the main method in this study with a deeper analysis of system archetypes to uncover the system behaviour. Soft system methodology and critical system heuristic are used partially to clarify the system boundaries, cultivate the perspective of the involved actors and problem categorization.

A comprehensive diagram is developed to present interrelation between all the components within the NRE electricity sector in Indonesia and the expected impact of any act or change to the entire system. Based on the causal interrelations between variables, typical systemic patterns or archetypes are used to identify unproductive patterns towards achieving the NRE electricity sector objectives.

The findings provide an initial outlook on the variables and systemic patterns within the system as a critical consideration in the decision-making process and policy development for the NRE electricity sector.

This paper aims to examine the micro effects of performance measures introduced in England to control hospitals, following the changing context in the policy directing the delivery of healthcare introduced by the Labour Government. The legislative framework established in 1999 reflected a discontinuity in the way that hospitals are controlled in this country.

This exploratory case study is a result of a deep empirical investigation. It draws on some aspects of Laughlin's and Broadbent and Laughlin's analysis of organisational change.

This study indicates that, in seeking to change to meet the demands of a particular control device, this organisation pursued both proactive and reactive strategies. However, it was deflected from its intended pathway of change and, as a result, it failed to meet the intended outcomes. The pressure exerted by such a demand impacted on the hospital's activities in a conflicting way.

The paper examines the issues in view of the organisational members' perspective, and, therefore, from the perception of those affected by control devices introduced by the Government.

There is insufficient understanding of how the government's policies to control have affected hospitals' daily activities. Equally, there is scarce understanding of how managers and medical personnel deal with the pressure to change to meet government's expectation. This paper demonstrates empirically the complexities involved in using key targets to control hospitals activities. It contributes to the wide literature in performance management and organisational change.

The purpose of this paper is to explore the emergence of innovation in smart service systems to conceptualize how actor’s relationships through technology-enabled interactions can give birth to novel technologies, processes, strategies and value. The objectives of the study are: to detect the different enablers that activate innovation in smart service systems; and to explore how these can lead dynamically to the emergence of different innovation patterns.

The empirical research adopts an approach based on constructivist grounded theory, performed through observation and semi-structured interviews to investigate the development of innovation in the Italian CTNA (Italian acronym of National Cluster for Aerospace Technology).

The identification and re-elaboration of the novelties that emerged from the analysis of the Cluster allow the elaboration of a diagram that classifies five different shades of innovation, introduced through some related theoretical propositions: technological; process; business model and data-driven; social and eco-sustainable; and practice-based.

The paper embraces a synthesis view that detects the enabling structural and systems dimensions for innovation (the “what”) and the way in which these can be combined to create new technologies, resources, values and social rules (the “how” dimension). The classification of five different kinds of innovation can contribute to enrich extant research on value co-creation and innovation and can shed light on how given technologies and relational strategies can produce varied innovation outcomes according to the diverse stakeholders engaged.

The aim of this chapter is to: (1) model culture as a configuration of multiple values, (2) identify different culture archetypes across the globe, and (3) empirically demonstrate heterogeneity in culture archetypes within and across 52 countries. We use Schwartz values from the World Values Survey (WVS) and the archetypal analysis (AA) method to identify diverse culture archetypes within and across countries. We find significant heterogeneity in culture values archetypes within countries and homogeneity across countries, calling into question the assumption of uniform national culture values in economics and other fields. We show how the heterogeneity in culture values across the globe can be represented with a small number of distinctive archetypes. The study could be extended to include a larger set of countries, and/or cover a broader range of theoretically grounded values than those available in the Schwartz values model in the WVS. Research and practice often assume cultural homogeneity within nations and cultural diversity across nations. Our finding of different culture archetypes within countries and similar archetypes across countries demonstrates the important role of culture sharing and exchange as a source of reducing cultural conflicts between nations and enhancing creativity and innovation through interaction and integration in novel ways. We examine culture as a configuration of multiple values, and use a novel AA method to capture heterogeneity in culture values within and across countries.

Organizations facing issues related to growth, innovation, and strategy are embracing design thinking, a problem-solving process. This study explores 40 design thinking initiatives and identifies operational practices emerge and empirical categories across various contexts. Quantitative analyses of the initiatives and qualitative interview data are used to distinguish four configurations of action analogous to races: training, emphasizing learning-by-doing; marathons, capturing personal reflection over a long project; relays, highlighting team collaboration; and sprints, reflecting fast-paced product innovation. The initiatives are differentiated as designer-led versus team-driven and, low-urgency versus high-urgency. Implications of practicing design thinking in Organization Development and Change are discussed.