Marketing strategy : making sense of industry dynamics:is there still value in strategic group research?

This paper looks selectively at strategic group theory and seeks to explore the benefits and limitations of modern strategic group analysis within the context of practical strategy making in the pharmaceutical industry. The rise and fall of strategic group research is reviewed and suggestions advanced as to the reasons why strategic group research suffered criticism and frequently produced conflicting results. The paper concludes that strategic group research offers a valuable way to classify firms by their strategy and provides some suggestions as to how industry strategists may benefit from strategic group analysis and avoid the pitfalls exposed by previous research.

Sense of coherence and diabetes:a prospective occupational cohort

Background: Sense of coherence (SOC) is an individual characteristic related to a positive life orientation leading to effective coping. A weak SOC has been associated with indicators of general morbidity and mortality. However, the relationship between SOC and diabetes has not been studied in prospective design. The present study prospectively examined the relationship between a weak SOC and the incidence of diabetes. Methods: The relationship between a weak SOC and the incidence of diabetes was investigated among 5827 Finnish male employees aged 18–65 at baseline (1986). SOC was measured by questionnaire survey at baseline. Data on prescription diabetes drugs from 1987 to 2004 were obtained from the Drug Imbursement Register held by the Social Insurance Institution. Results: During the follow-up, 313 cases of diabetes were recorded. A weak SOC was associated with a 46% higher risk of diabetes in participants who had been =<50 years of age on entry into the study. This association was independent of age, education, marital status, psychological distress, self-rated health, smoking status, binge drinking and physical activity. No similar association was observed in older employees. Conclusion: The results suggest that besides focusing on well-known risk factors for diabetes, strengthening SOC in employees of =<50 years of age can also play a role in attempts to tackle increasing rates of diabetes.

Making sense of violence: a study of narrative meaning

Dramatized violence has been a feature of entertainment in western civilization throughout history. The function of film violence is explored and compared to violence encountered in real life. The role of narrative in individuals' meaning-making processes is also investigated. Six adults were individually interviewed using a semi-structured schedule and narrative analysis was implemented. The findings revealed that real life violence is experientially distinct from film violence but narrative was found to be central to participants' quest for the meaning of violence in both contexts. The narrative framework of violence and whether it is justifiable were fundamental to participants' understanding. The function of violent film was found to be multifaceted: it can teach viewers about the consequences of violence; it allows them to speculate about their own and others' reactions to violence; and it provides an opportunity to experience something which is ordinarily outside of our experience in order to satisfy our human existential needs.

Living together with age related macular degeneration:an interpretative phenomenological analysis of sense-making within a dyadic relationship

In this article, we present an idiographic analysis of a couple's experience of living and coming to terms with age-related macular degeneration. Interpretative phenomenological analysis was used to explore three joint interviews, conducted over an 18-month period, with a married couple (aged 82 and 77 years) both living with age-related macular degeneration. Three themes are discussed: the disruption of vision impairment, managing mutual deterioration and resilience through togetherness. We discuss the existential challenges of vision impairment and consider the applicability of Galvin and Todres' typology of well-being as a means of understanding well-being in older adults.

Making Sense of Home and Homeland: Former-Soviet Greeks' Motivations and Strategies for a Transnational Migrant Circuit

Focusing on former-Soviet Greeks' experiences of cross-border movement to Greece, this paper sheds light on the impact of this migration on the social identities of Russian Greeks as a transnational community. It draws on informants’ narratives and ethnographic observations recorded among Greek migrants in their home communities in southern Russia, and shows how their motivation, in their transnational movement, is determined by the ‘push-and-pull’ forces of socio-economic and political transformations in post-Soviet space. In these conditions, Greek identity becomes a resource which facilitates the organisation of transnational migration. The cultural, social and economic differences between the former-Soviet Greek migrants and the native-born population of Greece result in the emergence of a Pontic-Greek cultural identity which emphasises migrants’ connections with the former USSR. The difficulties of economic and cultural adaptation for migrants to Greece are examined in relation to the Russian Greeks' economic strategies within their home communities and their perception of the ‘homeland’ as a constantly contested and relocated social construct.

Improving distributed representation of word sense via WordNet Gloss composition and context clustering

In recent years, there has been an increas-ing interest in learning a distributed rep-resentation of word sense. Traditional context clustering based models usually require careful tuning of model parame-ters, and typically perform worse on infre-quent word senses. This paper presents a novel approach which addresses these lim-itations by first initializing the word sense embeddings through learning sentence-level embeddings from WordNet glosses using a convolutional neural networks. The initialized word sense embeddings are used by a context clustering based model to generate the distributed representations of word senses. Our learned represen-tations outperform the publicly available embeddings on 2 out of 4 metrics in the word similarity task, and 6 out of 13 sub tasks in the analogical reasoning task.

Making sense of microposts (#MSM2013) concept extraction challenge

Microposts are small fragments of social media content that have been published using a lightweight paradigm (e.g. Tweets, Facebook likes, foursquare check-ins). Microposts have been used for a variety of applications (e.g., sentiment analysis, opinion mining, trend analysis), by gleaning useful information, often using third-party concept extraction tools. There has been very large uptake of such tools in the last few years, along with the creation and adoption of new methods for concept extraction. However, the evaluation of such efforts has been largely consigned to document corpora (e.g. news articles), questioning the suitability of concept extraction tools and methods for Micropost data. This report describes the Making Sense of Microposts Workshop (#MSM2013) Concept Extraction Challenge, hosted in conjunction with the 2013 World Wide Web conference (WWW'13). The Challenge dataset comprised a manually annotated training corpus of Microposts and an unlabelled test corpus. Participants were set the task of engineering a concept extraction system for a defined set of concepts. Out of a total of 22 complete submissions 13 were accepted for presentation at the workshop; the submissions covered methods ranging from sequence mining algorithms for attribute extraction to part-of-speech tagging for Micropost cleaning and rule-based and discriminative models for token classification. In this report we describe the evaluation process and explain the performance of different approaches in different contexts.

A gloss composition and context clustering based distributed word sense representation model

In recent years, there has been an increasing interest in learning a distributed representation of word sense. Traditional context clustering based models usually require careful tuning of model parameters, and typically perform worse on infrequent word senses. This paper presents a novel approach which addresses these limitations by first initializing the word sense embeddings through learning sentence-level embeddings from WordNet glosses using a convolutional neural networks. The initialized word sense embeddings are used by a context clustering based model to generate the distributed representations of word senses. Our learned representations outperform the publicly available embeddings on half of the metrics in the word similarity task, 6 out of 13 sub tasks in the analogical reasoning task, and gives the best overall accuracy in the word sense effect classification task, which shows the effectiveness of our proposed distributed distribution learning model.

Making sense of the ‘difficult’ past:transmission of political heritage and memory-work among young people across Europe

This article considers young people’s socialization into mnemonic communities in 14 European countries. It argues that such socialization is an intersubjective and selective process that, to a great degree, depends on the particular social environment that conditions the discourses on pasts available to young people. Drawing on memory studies, it recognizes memory as a valid alternative to the institutionalized past (history) but envisages the two as inextricably connected. Given this, it identifies several strategies adopted by young people in order to socialize understandings of the past. While these strategies vary, some reveal receptivity to populist and far right ideologies. Our study demonstrates how internalization of political heritage via mnemonic socialization within families is conditioned by both the national political agenda and socio-economic situation experienced across Europe.