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When we take the lens of race, ethnicity, gender, and class to the collected academic work on women business owners, what does it reveal? What do we really know? Are there differing definitions of success across segments of the women businessowner demographics? Do the challenges faced by African American women entrepreneurs differ from those confronting white female entrepreneurs? Do immigrant female women businessowners face more significant institutional barriers than their counterparts who have been U.S. citizens for at least two generations? Are there similar reasons for starting their businesses?

This paper aims to propose a method for automatically labelling an affective lexicon with intensity values by using the WordNet Similarity (WS) software package with the purpose of improving the results of an affective analysis process, which is relevant to interpreting the textual information that is available in social networks. The hypothesis states that it is possible to improve affective analysis by using a lexicon that is enriched with the intensity values obtained from similarity metrics. Encouraging results were obtained when an affective analysis based on a labelled lexicon was compared with that based on another lexicon without intensity values.

The authors propose a method for the automatic extraction of the affective intensity values of words using the similarity metrics implemented in WS. First, the intensity values were calculated for words having an affective root in WordNet. Then, to evaluate the effectiveness of the proposal, the results of the affective analysis based on a labelled lexicon were compared to the results of an analysis with and without affective intensity values.

The main contribution of this research is a method for the automatic extraction of the intensity values of affective words used to enrich a lexicon compared with the manual labelling process. The results obtained from the affective analysis with the new lexicon are encouraging, as they provide a better performance than those achieved using a lexicon without affective intensity values.

Given the restrictions for calculating the similarity between two words, the lexicon labelled with intensity values is a subset of the original lexicon, which means that a large proportion of the words in the corpus are not labelled in the new lexicon.

The practical implications of this work include providing tools to improve the analysis of the feelings of the users of social networks. In particular, it is of interest to provide an affective lexicon that improves attempts to solve the problems of a digital society, such as the detection of cyberbullying. In this case, by achieving greater precision in the detection of emotions, it is possible to detect the roles of participants in a situation of cyberbullying, for example, the bully and victim. Other problems in which the application of affective lexicons is of importance are the detection of aggressiveness against women or gender violence or the detection of depressive states in young people and children.

This work is interested in providing an affective lexicon that improves attempts to solve the problems of a digital society, such as the detection of cyberbullying. In this case, by achieving greater precision in the detection of emotions, it is possible to detect the roles of participants in a situation of cyber bullying, for example, the bully and victim. Other problems in which the application of affective lexicons is of importance are the detection of aggressiveness against women or gender violence or the detection of depressive states in young people and children.

The originality of the research lies in the proposed method for automatically labelling the words of an affective lexicon with intensity values by using WS. To date, a lexicon labelled with intensity values has been constructed using the opinions of experts, but that method is more expensive and requires more time than other existing methods. On the other hand, the new method developed herein is applicable to larger lexicons, requires less time and facilitates automatic updating.

Using the large database of patent, the purpose of this paper is to structure a technology convergence network using various patent network analysis for integrating different results according to network characteristics.

The patent co-class analysis and the patent citation analysis are applied to discover core safety fields and technology, respectively. In specific, three types of network analysis, which are centrality analysis, association rule mining analysis and brokerage network analysis, are applied to measure the individual, synergy and group intensity.

The core safety fields derived from three types of network analysis used by different nature of data algorithms are compared with each other to understand distinctive meaning of cores of patent class such as medical safety, working safety and vehicle safety, differentiating network structure. Also, to be specific, the authors find the detailed technology contained in the core patent class using patent citation network analysis.

The results provide meaningful implications to various stakeholders in organization: safety management, safety engineering and safety policy. The multiple patent network enables safety manager to identify core safety convergence fields and safety engineers to develop new safety technology. Also, in the view of technology convergence, the strategy of safety policy can be expanded to collaboration and open innovation.

This is the initial study on applying various network analysis algorithms based on patent data (class and citation) for safety management. Through comparison among network analysis techniques, the different results are identified and the collective decision making on finding core of safety technology convergence is supported. The decision maker can obtain the various perspectives of tracing technology convergence.

This paper aims to provide the results of a large‐scale survey of courses dedicated to the field of logistics in higher education. This research is unique because it represents the first large‐scale study of both undergraduate and graduate logistics courses.

Content analysis was performed on each syllabus to identify the actual course coverage: requirements, pedagogy and content emphasis. Content analysis is a descriptive approach to categorize data and the results may be limited by the categorizations used in analysis. This aggregated information was utilized to compare historical research findings in this area with the current skills identified as important for career success. These data provide input for gap analysis between offerings in higher education and those needs identified by practitioners.

Data gathering efforts yielded a sample of 118 logistics courses representing 77 schools and six different countries. The aggregate number of topics covered in undergraduate courses totalled 95, while graduate courses covered 81 different topics. The primary evaluation techniques include the traditional exams, projects and homework. Details regarding learning objectives and grading schema are provided along with a gap analysis between the coverage of logistics courses and the needs identified by practitioners.

The goal is to use these data as a means of continuous improvement in the quality and value of the educational experience. The findings are designed to foster information sharing and provide data for benchmarking efforts in the development of logistics courses and curricula in academia as well as training and development by professionals in the field of logistics.

This paper focuses on patterns of film consumption within cultural consumption more broadly to assess trends in consumerism such as eclectic consumption, individualised consumption and omnivorous/univorous consumption and whether economic background and status feature in shaping cultural consumption. We focus on film because it is widely consumed, online and offline, and has many genres that vary in terms of perceived artistic and entertainment value. In broad terms, film is differentiated between mainstream commercially driven film such as Hollywood blockbusters, middlebrow “feel good” movies and independent arthouse and foreign language film. Our empirical statistical analysis shows that film consumers watch a wide range of genres. However, films deemed to hold artistic value such as arthouse and foreign language feature as part of broad and wide-ranging pattern of consumption of film that attracts its own dedicated consumers. Though we found that social and economic factors remain predictors of cultural consumption the overall picture is more complex than a simple direct correspondence and perceptions of other cultural forms also play a role. Those likely to consume arthouse and foreign language film consume other film genres and other cultural forms genres and those who “prefer” arthouse and foreign language film have slightly more constrained socio-economic characteristics. Overall, we find that economic and cultural factors such income, education, and wider consumption of culture are significant in patterns of film consumption.

The purpose of this paper is to study public acceptance of decontamination as a risk reduction strategy in meat production.

A representative survey of the Danish population (n=1,104) was conducted during September 2007. The survey included dimensions of assessment of decontamination techniques and background variables of socio‐economic status, food culture and safety profile. The data were analysed using latent class analyses, and subsequently the association of the predicted classes and background variables was analysed using bivariate analyses.

The analysis shows that in general members of the public do not agree with the practice of decontamination. There was, however, some variation in public rejection of the techniques. Four latent classes were identified: rejects decontamination (57 per cent), accepts decontamination (4 per cent), accepts techniques that are familiar in meat production (18 per cent), and accepts techniques known from processed foods (21 per cent). Variations in the distribution of the four classes in different population groups are identified.

This is the first study to provide in‐depth information on public perceptions of the decontamination of meat. It will be of value to the industry and other stakeholders, since some form of decontamination is likely to be a necessary element in future European risk reduction strategies designed to ensure the safety of meat and meat products.

The purpose of this paper is twofold: first, to identify prominent patterns of media use across six media (e.g. television, social media, public libraries) and four gratification contexts (e.g. studying, leisure activities), and second, to investigate whether media use patterns vary with six individual characteristics by introducing the construct of information repertoire.

Data were collected through an online questionnaire completed by 811 adult internet users in the USA. Latent class analysis (LCA), including latent class regression, was performed to analyse the data.

The study found eight information repertoire profiles. The user characteristics associated with each profile, such as age, race and ethnicity, were identified. The profile with the most respondents was characterised by heavy use of TV and the internet for everyday leisure activities. Overall, the eight profiles do not show exclusive use of one or two media (such as a power-law pattern). However, the profiles do exhibit patterned behaviour, in which respondents use the same configuration of media in two or more gratification contexts. These findings suggest some level of gratification-based heuristic in media selection and use when respondents face contexts they deem to be similar.

In conceptual development, the study introduced the construct of information repertoire to capture media use profiles that account for multiple media use across multiple contexts. Methodologically, less-used LCA was applied, which allowed combining the 24 variables (6 media×4 gratification contexts) and the six demographic covariates in a single, unified analysis.

There is a noticeable dearth of literature offering Marxist perspectives and analyses on the Bangsamoro struggles for self-determination, ethnic and religious identities and social justice. A reason for this may lie in the general derision of bourgeois academics and conventional commentators on the supposed paucity of Marxist theories on nationalism, ethnicity and religion. This may have influenced, ironically, Filipino Marxist thinkers into being indifferent to this research topic. Far from the truth, however, that Marxism is essentially an economic determinist social conflict theory, its historical materialism offers a rich treasury of analyses and perspectives on nationalism, self-determination, religion and ethnic identity within the context of class struggles as the acme of the theory of scientific socialism. The paper, therefore, offers a scientific analysis of the Bangsamoro Question from a Marxist standpoint beyond the perspectives of psychologism, naturalism and ethno-racialism, which are usually deployed by traditional and uninformed commentators in analyzing ethnicity questions and quests for separatism.

The paper employs the historical and class analysis of the dynamics, relationships and struggles of classes in the history of the Bangsamoro struggles against colonialism and the subsequent postcolonial regimes up to the present time.

As a scientific paradigm, historical materialism presents itself as a general scientific social conflict theory. Using this framework through historical and class analyses, the paper proves the improbability of the Moros’ quest for separatism or genuine autonomy at this historical point. It, therefore, asserts the linking of the Moro struggles to the more immense struggles of the Filipinos for national and social liberation from imperialism.

The paper is limited to the historical and class analyses of classes’ dynamics and struggles. It is, therefore, far from an exhaustive analysis of the Moro struggles using different non-Marxist social conflict theories.

The research can be considered a practical guide in analyzing and predicting the trajectories of the Moro struggles in Mindanao and Sulu.

The work addresses the question from radical and Marxist premises.

This is a highly original and valuable work from the point of view of Marxist social conflict theory.

Questions why the analysis of class is being overlooked in the sociological mainstream. Presents some symptoms of this development followed by an evaluation. Suggests some new directions for class research which could appeal to younger researchers. Advocates work in this area to bridge the lack of information now available.

Here Marx's philosophy is dissected from the angle of bourgeois capitalism which he, Marx, sought to overcome. His social, political and economic ideas are criticised. Although it is noted that Marx wanted to ameliorate human suffering, the result turned out to be Utopian, contrary to his own intentions. Contrary to Marx, it is individualism that makes the best sense and capitalism that holds out the best hope for coping with most of the problems he sought to solve. Marx's philosophy is alluring but flawed at a very basic level, namely, where it denies the individuality of each person and treats humanity as “an organic body”. Capitalism, while by no means out to guarantee a perfect society, is the best setting for the realisation of the diverse but often equally noble human goals of its membership.