Search results

This paper aims to offer an innovative approach to reflecting on research and practice around doctoral study and supervision. In the opening section of the paper, the authors discuss the idea that academic development as a doctoral candidate is concerned with how researchers write themselves into being as certain kinds of researchers, and how, in doing so, they become a character, like their supervisors, in the “figured world” of their research. This process of “becoming” can, the authors argue, be nurtured or hindered by different kinds of supervision practices.

With regard to the authors’ own experiences of doctoral supervision, the paper explores how their use of post-qualitative practices and methodologies encouraged new forms of intersubjectivity and academic development as their supervisory relationship advanced alongside the thesis itself.

The authors present the script of an ethnodrama (Saldana, 2111) which they wrote and performed on a number of occasions, as an alternative way of expressing their experiences of being in a relationship as doctoral supervisor and supervisor.

This choice of ethnodrama emerged out of a frustration with what the authors felt were increasingly predictable ways of discussing and reflecting upon the philosophy, content and assessment methods of postgraduate research and supervision across the educational disciplines.

The authors hope that their exploration of the imaginative spaces created through doctoral supervision will encourage other postgraduates and their supervisors to experiment with working creatively across interdisciplinary spaces and creating radical and even risky ways of mediating and sharing postgraduate teaching and learning relationships.

The purpose of this paper is to draw on the outcomes of an Higher Education Academy funded project, Literacies for Employability (L4E) to contribute to discussion of the interface between university learning and workplace settings and the focus on employability that dominates the English context. The paper will be of interest to colleagues from any discipline who have an interest in critical (re)readings of employability and practical ways of engaging student in ethnographic approaches to understanding workplace practices, particularly those with an interest in professional, work-based, or placement learning.

L4E is grounded in social theories of communication from Sociology and Education that understands literacy as a complex social activity embedded in domains of practice. These ideas recognise workplaces as domains that are highly distinctive and diverse contexts for literacy (rather than generic or standard) and that to be successful in particular workplace settings students must be attuned to, and adaptive and fluent in, the nuanced literacy practices of that workplace. However, evidence suggests (Lea and Stierer, 2000) that HE students (and teachers) rarely experience overt teaching about literacy in general or workplace literacies in particular.

This project developed a framework to scaffold and support this process across the disciplines so that students can develop the attitudes and behaviours they will need to be successful in the workplace.

The approach chimes with recommendations from Pegg et al. (2012) that employability is most effectively developed through a focus on more expansive, reflexive approaches to learning and through “raising confidence […] self-esteem and aspirations” (Pegg et al., 2012, p. 9).

ASIS student paper contest. The American Society for Information Science (ASIS) announces the 1982 Student Paper Contest. The Contest is designed to encourage information science students to prepare reports of their work for appraisal by information scientists. Papers will be evaluated on the basis of technical competence, significance of findings, originality, and clarity of expression.

The purpose of this paper is to investigate the relationship between three antecedents, namely, work self-determination, managerial support (i.e. interpersonal motivation style) and person–organization fit (P-O) (i.e. shared values among employees and the overall organization) on employee work satisfaction in a French Canadian health care context. Assessing the relationships between such intrapersonal, interpersonal and macro-level variables will help to better comprehend work satisfaction in health care and shed light on applicable transformations for management.

The study tested a judicious model grounded in self-determination theory in order to capture and construe the three levels of influence. Participants were recruited from four health centers in the Suroît (Quèbec, Canada) region. Management was provided with the questionnaire and asked to distribute to all employees including nurses and allied health. A serial multiple mediation analysis was used to test the proposed model.

The findings revealed that nearly 60 percent of the participants from each of the professional groups reported feeling moderately to not at all satisfied with their job (follow-up ANOVA revealed that nurses were the least satisfied). Through closer examination, the findings revealed that 46 percent of the variance in reported job satisfaction was explained by the three focal antecedents from the hypothesized model (work self-determination, managerial support and P-O fit). Therefore the model, in its entirety, represents a comprehensive perspective for influencing employee work satisfaction in particularly demanding health care work contexts.

The study is the first to indicate the prevailing factors necessary to pursue and support employee satisfaction within a health care context among French Canadians.

The purpose of this paper is to investigate the relationship between consumers’ skepticism and green consumption in different economies by exploring antecedents and consequences of skepticism.

Using a cross-country approach, with data from Brazil and France, the relationships between green skepticism and downstream consequences (e.g. intention to purchase green products) were analyzed using the partial least squares path modeling with the results of 996 questionnaires.

Contradicting previous research, the authors found that in France, green skepticism represents consumers’ increased green advertising elaboration, not a disbelief in companies’ claims, and it is associated with greater intentions to make green purchases. Meanwhile, in Brazil, green skepticism represents consumers’ disbelief, which is associated to consumers greater suspicion toward (and distance from) companies’ claims in such country. This study shows that the role of skepticism and the valence of its effect on green attitudes depend on market relationships.

The authors promote the importance of investigating the different meanings of skepticism across countries, what can spill over on research of other marketing aspects, such as advertising elaboration. Managers should consider the importance of consumers’ doubts and skepticism as a useful element that can be explored in green advertising effectiveness.

Managers should consider the importance of consumers’ doubts and skepticism as a useful element that can be explored in green advertising effectiveness.

This research examines an underexplored debate on the role of green skepticism in different economies and demonstrates the nuances green advertising impact on both markets.

This paper aims to analyze the pertinence of Bradford's law applied to a set of electronic periodical collections in a given discipline.

This study applied Bradford's law using citations rather than articles from a theme, thus ensuring the pertinence of the periodicals cited. Concentrating on citations in articles focuses on the stage following research rather than prior stages. The sources are actually used because they have been cited.

The study demonstrates the data centrality phenomenon based on the leading periodicals in a theme. There was a relationship between the electronic periodical collection and the number of citations in the relevant journals in a theme.

Although today's use of periodical titles is defined first and foremost by readership statistics, a more detailed analysis on the qualitative aspect can be an additional benefit in the negotiations conducted on a macro scale. Using Bradford's law could be envisaged as a complementary tool for a sustainable management of commercial electronic resources.

This paper aims to report on a preliminary study of how professionally qualified immigrants from Hong Kong to Canada make sense of their experiences, particularly workplace opportunities.

The study is framed by a Critical Sensemaking approach, involving in-depth interviews with 12 informants from the Hong Kong Chinese community and discursive analysis (Foucault, 1979) of the local and formative contexts in which they are making sense of workplace opportunities.

The findings suggest that a dominant discourse of “integration” strongly influences the way that professionally qualified immigrants come to accept the unchallenged assumptions that the government is providing help for them to “get in”; and that ethnic service organizations are offering positive guidance to the immigrants’ workplace goals and opportunities. Immigrants’ identity and self-worth are measured by whether they “get in” – integrate – into so-called mainstream society. The effect of this hidden discourse has been to marginalize some immigrants in relation to workplace opportunities.

The interplay of structural (i.e. formative contexts and organizational rules), socio-psychological (i.e. sensemaking properties) and discursive contexts (e.g. discourses of immigration) are difficult to detail over time. The interplay – although important – is difficult to document and trace over a relatively short period of time and may, more appropriately lend itself to more longitudinal research.

This paper strongly suggests that we need to move beyond structural accounts to capture the voice and agency of immigrants. In particular, as we have tried to show, the sensemaking and sensemaking contexts in which immigrants find themselves provide important insights to the immigrant experience.

This paper suggests widespread policy implications, with a call for greater use of qualitative methods in the study of immigrant experience. It is suggested that policymakers need to move beyond uniform and structural approaches to immigration. How selected immigrants in context make sense of their experiences and how this can help to identify improved policies need to be understood.

This paper is original in going beyond both structural and psychological accounts of immigration. Through the developing method of Critical Sensemaking, the study combines a focus on structure and social psychology and their interplay. Thus, providing insights not only to the broad discriminatory practices that so-called non-White immigrants face in Canada (and likely other industrial societies) but how these are made sense of. The study is also unique in attempting to fuse sensemaking and discourse analysis to show the interaction between individual sensemaking in the context of dominant discourses.

Asset pricing revolves around the core aspects of risk and expected return. The main objective of the study is to test different asset pricing models for the Indian securities market. This paper aims to analyse whether leverage and liquidity augmented five-factor model performs better than Capital Asset Pricing Model (CAPM), Fama and French three-factor model, leverage augmented four-factor model and liquidity augmented four-factor model.

The data for the current study comprises records on prices of securities that are part of the Nifty 500 index for a time frame of 14 years, that is, from October 2004 to September 2017 consisting of 183 companies using time series regression.

The results indicate that the five-factor model performs better than CAPM and the three-factor model. The model outperforms leverage augmented and liquidity augmented four-factor models. The empirical evidence shows that the five-factor model has the highest explanatory power among the entire asset pricing models considered.

The present study bears certain useful implications for various stakeholders including fund managers, investors and academicians.

This study presents a five-factor model containing two additional factors, that is, leverage and liquidity risk along with the Fama-French three-factor model. These factors are expected to give more value to the model in comparison to the Fama-French three-factor model.

The purpose of this study is to examine the underresearched transformative service research (TSR) and social marketing segment of young adults who use drugs and identify motivators that have been studied in previous literature, using a service ecosystem lens and provide direction for future research into this area. This research provides the evidence-based knowledge for transformative service and social marketing practitioners to design transformative services that target these motivators.

This systematic review, guided by the preferred reporting items for systematic reviews and meta-analysis framework, examines and analyses 207 articles published between 2015 and 2020.

This study identified that young adults are motivated to take drugs to enhance one’s experience, to cope, for social reasons, because of individual characteristics and for other reasons. Research has largely focused on microsystem and mesosystem motivators with data collected mainly using a microsystem approach.

This paper contributes to the TSR and social marketing literature by providing a holistic investigation into all motivators relevant to young adult drug use. An ecosystem classification and theoretical framework of the motivators is curated to help guide future TSR and social marketing research and interventions.

The purpose of this paper is to discuss the design, application and findings of a case study in which the application of a machine learning algorithm is utilised to identify the grievances in Twitter in an Arabian context.

To understand the characteristics of the Twitter users who expressed the identified grievances, data mining techniques and social network analysis were utilised. The study extracted a total of 23,363 tweets and these were stored as a data set. The machine learning algorithm applied to this data set was followed by utilising a data mining process to explore the characteristics of the Twitter feed users. The network of the users was mapped and the individual level of interactivity and network density were calculated.

The machine learning algorithm revealed 12 themes all of which were underpinned by the coalition of Arab countries blockade of Qatar. The data mining analysis revealed that the tweets could be clustered in three clusters, the main cluster included users with a large number of followers and friends but who did not mention other users in their tweets. The social network analysis revealed that whilst a large proportion of users engaged in direct messages with others, the network ties between them were not registered as strong.

Borum (2011) notes that invoking grievances is the first step in the radicalisation process. It is hoped that by understanding these grievances, the study will shed light on what radical groups could invoke to win the sympathy of aggrieved people.

In combination, the machine learning algorithm offered insights into the grievances expressed within the tweets in an Arabian context. The data mining and the social network analyses revealed the characteristics of the Twitter users highlighting identifying and managing early intervention of radicalisation.