Search results

Based on social representation theory, this study aims to evaluate and analyze the similarities and differences between social representations of climate change held by people living in two territories, which have in common that they are exposed to coastal risks but have different socio-cultural contexts: on the one hand, Cartagena (Colombia) and on the other, Guadeloupe (French overseas department, France).

A double approach, both quantitative and qualitative, of social representation theory was adopted. The data collection was undertaken in two phases. First, the content and organization of social representation of climate change (SRCC) was examined with a quantitative study of 946 participants for both countries, followed by a qualitative study of 63 participants for both countries also.

The study finds unicity in the SRCC for the quantitative study. In contrast, the qualitative study highlights differences at the level of the institutional anchoring of the climate change phenomenon in these two different socioeconomic and political contexts.

These results are relevant for a reflection in terms of public policies for the prevention and management of collective natural risks, as well as for the promotion of ecological behavior adapted to political and ideological contexts.

The use of a multi-methodological approach (quantitative and qualitative) in the same research is valuable to confirm the importance of an in-depth study of the social representations of climate change because of the complexity of the phenomenon.

Informed by social representation theory, the study aims to explore how marketing workers represent their activities on social media.

A naturalistic data set of 17,553 messages posted on Twitter by advertising workers was collected. A sample of over 1,000 unique messages from this data set, incorporating all external links and images, was analysed inductively using structured thematic analysis.

Advertising workers represent marketing work as a series of fun yet constrained activities involving relationships with clients and colleagues. They engage in cognitive polyphasia by evaluating these productive differences in both a positive and negative light.

The study marks a novel use of social representation theory and innovative social media analysis. Further research should explore these relations in greater depth by considering the networks that marketing workers create on social media and establish how, when and why marketing workers turn to social media in their everyday activities.

Marketing workers choose to represent aspects of their work to one another, using social media. Marketing managers should support such activities and consider social media as a way to understand the lives and experiences of marketing workers.

Marketing researchers have embraced digital media as a route to understanding consumers. This study demonstrates the value of analysing digital media to develop an understanding of marketing work. It sheds new light on the ways marketing workers create social relationships and enables marketing managers to understand and observe the social aspects of effective marketing.

The purpose of this paper is to examine mothers’ social media accounts that focus on children’s fashion. The authors probed children’s fashion photo practices as representations of the mothers’ extended self and the kind of childhood representations produced by the social media accounts. They also investigated mothers’ perceptions of children’s privacy when engaging in sharenting – the sharing of information about children or parenting online.

The study is based on 16 semi-structured interviews with Finnish mothers who had Instagram accounts focusing on children’s fashion.

Children’s fashion photos play a diverse role in mothers’ identity work. The photos can be used to express a mother’s taste and aesthetic skills, to express values, to fit into peer groups and to store memories of oneself and the children. Through the photos, representations of the prevailing Finnish childhood ideals, such as authenticity, naturalness and playfulness, are reproduced. The mothers perceived the children as part of their extended self and justified sharenting with mother- and child-centered arguments.

Through shedding light on the practices of social media fashion photography, this paper provides insights into how commercialism and social media shape cultural expectations for both motherhood and childhood. The paper contributes to previous research on sharenting, extending it to the context of fashion photography.

The purpose of this paper is to examine to what extent Finnish university students endorse entrepreneurial intent and the ways in which they position themselves in relation to entrepreneurship according to their self-perceived abilities or “ability self”.

The study was conducted by means of an e-survey, and the participants comprised the sample of students (n =1,819) from two Finnish universities, representing diverse fields of study.

It was found that a great majority of the students showed a relatively low intent to become an entrepreneur. The perception of abilities, such as innovativeness and ambitiousness-competitiveness, was positively related with entrepreneurial intent, whereas the perception of academic abilities and “conventional” employee skills indicated inverse associations.

The findings suggest that in terms of self-perceived abilities, entrepreneurship in an academic context is perceived as a rather restricted category to which only a few specific individuals have access. Accordingly, there is a certain tension between the tenets of entrepreneurship and corresponding abilities, and the ethos of universities and related high-valued abilities such as theoreticality and criticality.

Although employability and entrepreneur intent have been widely studied, little is known about students’ identification with entrepreneurship according to their ability perceptions. The present study contributes to the existing body of knowledge on university students’ “internal employability” that involves students’ self-assurance and views of work-related relevance with regard to supposed abilities.

The research approach is based on the concept that a failure event is rarely random and is often generated by a chain of previous events connected by a sort of domino effect. Thus, the purpose of this study is the optimal selection of the components to predictively maintain on the basis of their failure probability, under budget and time constraints.

Assets maintenance is a major challenge for any process industry. Thanks to the development of Big Data Analytics techniques and tools, data produced by such systems can be analyzed in order to predict their behavior. Considering the asset as a social system composed of several interacting components, in this work, a framework is developed to identify the relationships between component failures and to avoid them through the predictive replacement of critical ones: such relationships are identified through the Association Rule Mining (ARM), while their interaction is studied through the Social Network Analysis (SNA).

A case example of a process industry is presented to explain and test the proposed model and to discuss its applicability. The proposed framework provides an approach to expand upon previous work in the areas of prediction of fault events and monitoring strategy of critical components.

The novel combined adoption of ARM and SNA is proposed to identify the hidden interaction among events and to define the nature of such interactions and communities of nodes in order to analyze local and global paths and define the most influential entities.

The purpose of the paper is to examine how media synchronicity facilitates the emergence of social exchange (i.e. trust and reciprocity) in organizations’ information and communication technology (ICT)-mediated interactions. A model of media synchronicity in organizational social exchange (MSiOSE) is proposed.

The paper has a design and review approach. The theoretical analysis is based on social exchange theory (SET) and media synchronicity theory (MST).

The authors propose that, in general, social exchange benefits from both asynchronous and synchronous communication processes. However, media synchronicity has different boundary conditions (i.e. pros and cons) in relation to the emergence of social exchange, determined in accordance with the mutually interacting patterns of trust and reciprocity predicted by SET. The authors provide testable theoretical propositions to support the analysis.

Social exchange is a critical business factor for organizations due to its well-known positive outcomes, such as the strengthening of social ties. The need for successful social exchange in remote work conditions is particularly emphasized. However, with regard to the communication and behavioral patterns that lead to social exchange via ICT, the theoretical understanding is limited. The study reveals previously unmapped heuristics between social exchange and physical media capabilities. Thus, the study's propositions can be used to study and analyze social exchange in the ever-changing media landscape. As a practical contribution, the study helps organizations to improve their communication strategies and use of ICT.

In this study, the authors explain citizens’ adoption of social media in citizen–government relations in China, a country that blends an authoritarian governance regime with limited tolerance of and responsiveness to online citizen participation.

Original survey data were gathered using a vignette survey among 307 respondents living in the People’s Republic of China. Multivariate analysis of the data was used to test four hypotheses and identify antecedents of Chinese citizens’ social media adoption for “thin” participation purposes.

Citizens’ perceived impact of “thin” participation, citizens’ skills and capabilities and citizens’ trust in institutions are significantly associated with citizens’ social media adoption. Social media anxiety was found not to be associated with Chinese citizens’ social media adoption.

This study demonstrates how vignettes can be used to study adoption of technological and institutional innovations in an authoritarian governance regime and how in this context existing adoption theories can be extended with notions of institutional trust to adequately explain citizens’ adoption of technological and institutional innovations in citizen–government relations.

Although some argue that social media activity could potentially mitigate democratic deficits caused by the state, in the case of China, the intertwinement of state and social media platform renders this argument unsustainable.

This study is one of the few systematic survey studies focusing on Chinese citizens’ adoption of social media in citizen–government relations.

The purpose of this paper is to shed light on different types of knowledge created and how this links to the project design, process, and content.

In this paper the authors investigate participants' experiences from a three-year interactive research project, designed to trigger reflection among the participants. They apply a knowledge creation perspective on experiences expressed by participants as a result of different research project activities.

The study resulted in five categories of insights with potential for sustainable influence on the participating organizations: an understanding of concepts and theories; an understanding of the impacts of collaborative, reflective work processes; an understanding of the meaning of one's own organizational context; an understanding of the importance of increased organizational self-awareness; and an understanding of the potential for human interaction and communication.

The author’s findings suggest that it is possible to design a project to promote more profound and sustainable effects on a business beyond the explicit purpose of the project. They advise practitioners to make room for iterative reflection; be mindful to create a trustful and open environment in the team; challenge results with opposing views and theories; and make room for sharing experiences and giving feedback.

This study contributes to unraveling key practices which can nurture conditions for knowledge creation in interactive research projects and business projects alike.

This paper analyses Hanoi consumers' evaluation of food risk and response to the perceived risk.

The authors employed the mixed method approach that integrates segmentation analysis on the survey data and information from group discussions.

Based on consumers' risk rating of six food groups and level of food safety worry, the authors identified four distinct consumer segments: low, moderate, high and very-high-risk perception. The authors found the existence of widespread food safety concerns among Hanoi consumers. Living in an urban region was associated with a higher level of food risk perception. Moderate, high and very-high-risk perception segments exhibited a very low level of institutional trust and subjective control over hazards. Response to the perceived risk differed across segments. “Very high-risk perception” was associated with the most risk-averse behaviour, putting more effort into seeking food safety information and engaging more in supermarket purchase. Consumers with a low and moderate perceived food risk participate more in self-supply of food to reduce their food safety concern.

The paper provides empirical evidence on consumers' evaluation of food risk and their risk-reducing strategies to support the risk communication in Vietnam.

Enhancing institutional trust and risk communication including hazard education can improve consumer confidence in food.

This is the first segmentation study on consumer food risk perception in Vietnam.

Representations of time are commonly used to construct narratives in visualisations of data. However, since time is a value-laden concept, and no representation can provide a full, objective account of “temporal reality”, they are also biased and political: reproducing and reinforcing certain views and values at the expense of alternative ones. This conceptual paper aims to explore expressions of temporal bias and politics in data visualisation, along with possibly mitigating user approaches and design strategies.

This study presents a theoretical framework rooted in a sociotechnical view of representations as biased and political, combined with perspectives from critical literacy, radical literacy and critical design. The framework provides a basis for discussion of various types and effects of temporal bias in visualisation. Empirical examples from previous research and public resources illustrate the arguments.

Four types of political effects of temporal bias in visualisations are presented, expressed as limitation of view, disregard of variation, oppression of social groups and misrepresentation of topic and suggest that appropriate critical and radical literacy approaches require users and designers to critique, contextualise, counter and cross beyond expressions of the same. Supporting critical design strategies involve the inclusion of multiple datasets and representations; broad access to flexible tools; and inclusive participation of marginalised groups.

The paper draws attention to a vital, yet little researched problem of temporal representation in visualisations of data. It offers a pioneering bridging of critical literacy, radical literacy and critical design and emphasises mutual rather than contradictory interests of the empirical sciences and humanities.