Structural Content Analysis Research Articles

The synergistic effect of ego-network stability and whole network position: a perspective of transnational coopetition network

PurposeThe authors selected global automobile manufacturing firms whose sales ranked within 100 in the five years from 2014 to 2018 in the Factiva database to examine how the characteristics of a firm's whole network and ego-network in a transnational coopetition network influence network performance.Design/methodology/approachThe authors analyzed the public news of the sample firms about the coopetition by structural content analysis to build the coopetition networks and access to data on the competitive actions of firms. Then, to measure the variables associated with the coopetition network, such as the structural hole, centrality and ego-network stability, the authors use UCINET 6 that is a widely used piece of software for social network analysis to establishing five undirected binary adjacency matrices.FindingsThe authors find that a firm's competitive aggressiveness mediates the relationship between a firm's whole network position and network performance that emphasizes the need for integrating competitive dynamics research and coopetition research and shows how valuable insights can be gained through such integration. And the interaction of structural hole and centrality impacts competitive aggressiveness and network performance, and the interaction is different under high and low ego-network stability. The integration of whole network and ego-network literature studies provides new insights into firm network literature.Practical implicationsIn the process of cooperation, firms should consider whether they can occupy the structural hole and center as important indicators for partner selection. Too stable relationship will prevent firms from obtaining new resources. Firms should weigh the period of cooperation according to specific situation.Originality/valueThese results indicate that ego-network stability, as an important complementary characteristic of coopetition network, has a significant synergistic effect with structural holes and centrality on competitive aggressiveness and network performance. And these findings expand the current literature on the relationship between characteristics of network, competitive aggressiveness and network performance.

Argument Structure in Essays Written by Class VIII Students of SMP Muhammadiyah 1 Kartasura

The purpose of this study was to analyze the argument structure of the exposition text in the essays written by students. This research is a type of qualitative research with a qualitative descriptive research. The data in this study is the structure of the argument in the exposition text written by students of SMP. The data analysis method is the structural analysis and content analysis method. The results of this study indicate that there is no exposition text written by students with a complete structure. Argument structure contained in the student's exposition includes the qualifier structure (qualification) in 3 texts, backing (support) is found in 3 texts, claims (claims) are in 1 text, data (data) is in 3 texts. Kata kunci: Argument structure, short story, exposition text

Investigating the Causes of Entrepreneurs Failure to Start-up Greenhouse Business in Isfahan Province, Iran

Despite the impact of entrepreneurships on economic development, it has not received much attention over the last few decades. Most studies in the field of entrepreneurship have been based on the experiences of successful entrepreneurs. Although the success and failure of entrepreneurs are two sides of the same coin, studying the causes of entrepreneurial failure provides us with much more important information for analyzing the entrepreneurial ecosystem in a country. Therefore, by examining the failure of entrepreneurs, the entrepreneurial ecosystem can be changed to improve the conditions for future success of entrepreneurs. The present study examines factors caused to failure start-up greenhouse business by licensed entrepreneurs in province of Isfahan located at central part of Iran. This study considers population who obtained license to start greenhouse business but failed to do so at last. This study applied qualitative research technique and related data were collected through semi-structured telephone interviews with totally 450 interviewee and 264 of them participated in the study. To analysis the collected data, the structural content analysis technique of grounded theory was applied. Due to importance of factors, vocabulary counting technique was applied. As a result, 575 Barriers are expressed by entrepreneurs. At the open coding stage, the extracted phrases are integrated in 19 terms of meaningful expressions by integrating the same items and removing repetitive cases. At the axial coding stage, 19 integrated concepts are obtained. Subsequently, the extracted phrases create six main factors. At the selective coding stage, the entrepreneurs' basic barriers are categorized into three categories: Human Barriers, Economic barriers, Infrastructure facilities and supportive policies. This study well revealed that weak infrastructure facilities, poor supportive system, economy barriers and problems with human resource barriers respectively had powerful deterrent factors which caused license holders to give up starting a greenhouse business.

EXPERIÊNCIAS COM O ENSINO REMOTO E OS EFEITOS NO INTERESSE E NA SATISFAÇÃO DOS ESTUDANTES DE CIÊNCIAS CONTÁBEIS DURANTE A PANDEMIA DA SARS-CoV-2

O isolamento social, decorrente do enfrentamento ao contágio do novo Coronavírus (SARS-CoV-2), gerou muitas transformações nos processos de trabalho e no ensino. Este estudo investiga as experiências dos estudantes de Ciências Contábeis com o ensino remoto implementado por uma instituição de ensino superior federal da região centro-oeste brasileira durante a pandemia da SARS-CoV-2, e os efeitos no seu interesse e na sua satisfação com as aulas. A amostra compreendeu 102 estudantes, que responderam a um questionário com perguntas fechadas e abertas, cujos dados foram tratados com as técnicas de Equações Estruturais e de Análise de Conteúdo. Os resultados evidenciaram que é preciso que os professores busquem diferentes metodologias de ensino e distintas tecnologias de informação e comunicação (TICs) para reproduzir uma aula presencial em um ambiente virtual de aprendizagem e para que o aluno tenha maior interesse e satisfação. Ademais, foi identificado que a maioria dos estudantes desconhecia o funcionamento da dinâmica da modalidade de ensino remoto, o que gerou inúmeras dúvidas e receios, e refletiu nas experiências deles com as interações entre professor-aluno e aluno-aluno, as quais interferem significativamente no processo de aprendizagem, logo, no interesse e na satisfação do aluno.

Рынок жилья как отражение жилищной стратификации городов

В статье представлены результаты контент-анализа объявлений сайта «Авито» о продаже жилья в трех городах Приволжского федерального округа: Казани, Кирове и Нижнем Новгороде. Цель данной статьи — оценить жилищно-пространственное неравенство и состояние жилищного фонда в городах сквозь призму предложений рынка жилья. Для формирования эмпирической базы был собран сплошной массив объявлений о продаже жилья за фиксированный отрезок времени и проведен структурный контент-анализ информации о продаваемых объектах. Также проведена серия экспертных интервью с риелторами в изучаемых городах. Систематизированы базовые и факультативные параметры, влияющие на ценообразование и престиж недвижимости. В ходе статистического анализа параметров продаваемого жилья сформирован и рассчитан интегральный показатель качества и престижа недвижимости, позволяющий ранжировать объекты рынка жилья с позиции жилищной стратификации. В соответствии с интегральным показателем в каждом городе выделены четыре типа микрорайонов по качеству жилья и степени однородности застройки, определены специфические черты жилищного фонда трех городов. На основе полученных данных построены карты городов, отражающие жилищно-пространственную дифференциацию микрорайонов. Апробированная методика контент-анализа объявлений о продаже жилья может быть использована для исследования жилищной дифференциации других городов, позволяет прогнозировать рыночную стоимость жилья в зависимости от его параметров и престижа районов города, судить о наполненности жилищных классов горожан, выявлять ключевые тенденции изменений жилищного фонда в регионах. Благодарность. Статья подготовлена при поддержке Российского фонда фундаментальных исследований (РФФИ), грант № 18-011-00627 «Особенности жилищного неравенства в современных российских городах».

Commercialization Capability of R&D Results in Biomedical Field of Ukraine and Analysis of Related Foreign Experience

Rapid development of modern areas of biomedical science contributes to the increase of the implementation rate, of innovative products and services in medicine, in particular, clinical oncology. The purpose of the article is the comparative analysis of the experience of R&D results commercialization in biomedical sector of the developed countries and Ukraine. The study uses methods of structural and logical analysis and comparative content analysis. Commercialization fits the inventor interests in using intellectual property, provides its implementation, and reveals commercial advantages to continue scientific and innovative activity. Society is interested in successful commercialization and technology transfer in biomedical field that increase competitiveness level of health system. Such activity stimulates scientists to develop innovative products. In foreign countries, legal and organizational mechanisms have been created that stimulate of investment activities for conducting research in the biomedical science at universities and scientific institutions. The development of links in the field of commercialization of R&D results has become a priority of the innovation policy of many countries, and public-private partnerships are an effective tool for its implementation, as evidenced by the rising of national budgets, legislative initiatives and the development of new programs. The analysis of the foreign experience of technology transfer of medical and biological R&D results allows to highlight several points: the financial support of research institutes and universities is considered as an important function of the state; public financing of projects in the field of medicine and biology is carried out within a quite long period of time (often not less than10 years), and the purchase of equipment is not a central item of expenditures; assessment of the productivity of researchers is complemented by evaluating the performance of the departments responsible for research management and funding; quantitative indicators of research unit results are supplemented by expert assessments of the quality of research, effectiveness and safety of medical developments based on new knowledge and achievements of scientific and technological progress. Conclusion. In Ukraine, despite certain difficulties in recent years, the high scientific potential in the field of biomedical sciences provides an increase of the number of high-tech innovative scientific and technological developments. Taking into account the low innovative activity of scientific institutions and universities, commercialization requires a systematic state approach, the development of strategies, specific mechanisms, methods and forms

사회서비스원 정책 보도의 프레임 분석 : 구조적 주제모형(Structural Topic Modeling)과 내용분석(Content Analysis)의 보완적 적용

사회서비스원 정책 보도의 프레임 분석 : 구조적 주제모형(Structural Topic Modeling)과 내용분석(Content Analysis)의 보완적 적용

사회서비스원 정책 보도의 프레임 분석 : 구조적 주제모형(Structural Topic Modeling)과 내용분석(Content Analysis)의 보완적 적용

이 연구는 사회서비스원 정책 보도의 프레임 분석을 세 가지 흐름과 방식으로 시도했다. 우선정책 프레임에 대한 선행 연구를 참고하여 연역적 방식으로 ‘경제적 이득/손실’, ‘정책 추진/반대’, ‘갈등/책임’ 프레임을 도출한 후 2010년 9월 1일부터 2019년 12월 10일까지 보도된 사회서비스원 정책 관련 기사 1,354건에 대한 구조적 주제모형 분석 결과에 따른 28개의 토픽을 분류했다. 이 결과를 바탕으로 의미연결망 분석을 수행하여 귀납적 방식으로 ‘정부의 고용확대 정책에 따른 일자리 창출’, ‘대통령 국정 공약 과제’ 등의 프레임 18개를 도출했다.최종적으로 이것을 내용분석의 분석틀로 활용하여 언론사에 따른 프레임 강조 양상을 분석했다. 시기별 프레임 비중과 논조 분석도 추가적으로 수행했다. 우리는 이러한 분석 결과를 정책 이슈 관리 측면에서 해석하고 논의했다.

ANALISIS UNSUR INTRINSIK DAN NILAI MORAL DALAM CERPEN “PENA” KARYA RIKA

Literary work is not only a word for word series that has aesthetic value, but also talks about the values of life. To understand the value contained in literary works, readers need to read, know, and analyze the elements in these literary works. One of the literary works that will be analyzed by the researcher is a short story entitled by Rika. This research was conducted with the aim of describing the intrinsic elements in the short story and describing the moral values contained in the short story. The research approach used in this research is descriptive qualitative using structural methods and content analysis strategies. The data source used is a collection of selected short stories Kompas 2017. With data collection steps; (1) reading the short story Pena intensively, (2) analyzing the cohesiveness of the short story's intrinsic elements and describing it, (3) analyzing the moral elements the writer wants to convey in the short story and describing it. The conclusions of this study are: (1) the intrinsic elements contained in the short stories of the from the Compass Selected Short Story Collection 2017 include plot, setting, theme, characterization, point of view, mandate, and language style. (2) moral values contained in the short stories from the Compass Selected Short Story Collection 2017.

Functional group and diversity analysis of BIOFACQUIM: A Mexican natural product database.

Background: Natural product databases are important in drug discovery and other research areas. An analysis of its structural content, as well as functional group occurrence, provides a useful overview, as well as a means of comparison with related databases. BIOFACQUIM is an emerging database of natural products characterized and isolated in Mexico. Herein, we discuss the results of a first systematic functional group analysis and global diversity of an updated version of BIOFACQUIM. Methods: BIOFACQUIM was augmented through a literature search and data curation. A structural content analysis of the dataset was performed. This involved a functional group analysis with a novel algorithm to automatically identify all functional groups in a molecule and an assessment of the global diversity using consensus diversity plots. To this end, BIOFACQUIM was compared to two major and large databases: ChEMBL 25, and a herein assembled collection of natural products with 169,839 unique compounds. Results: The structural content analysis showed that 15.7% of compounds and 11.6% of scaffolds present in the current version of BIOFACQUIM have not been reported in the other large reference datasets. It also gave a diversity increase in terms of scaffolds and molecular fingerprints regarding the previous version of the dataset, as well as a higher similarity to the assembled collection of natural products than to ChEMBL 25, in terms of diversity and frequent functional groups. Conclusions: A total of 148 natural products were added to BIOFACQUIM, which meant a diversity increase in terms of scaffolds and fingerprints. Regardless of its relatively small size, there are a significant number of compounds and scaffolds that are not present in the reference datasets, showing that curated databases of natural products, such as BIOFACQUIM, can serve as a starting point to increase the biologically relevant chemical space.

Structural-Content Analysis of Existential Theory and its Value for Psychological Consulting

The present research was based on modern psychological studies. The article features the structure and contents of the existential theory. The structure of the theory is presented in the framework of the concept coined by A. V. Yurevich, while its contents are represented in the context of the existential and phenomenological philosophical traditions. The paper focuses on three elements in the structure of the existential psychological theory. The central one includes a generalized image of psychological reality, its central category, corresponding phenomena, basic concepts, the system of relations between them, basic statements, etc. The peripheral elements are represented by theoretical and empirical components. The third component features the implicit part. The generalized image of the psychological reality is represented by the concept of "Dasein", its central category being "the existence". The author described the basic concepts and auxiliary statements of the theory. The basic statements of the theoretical part of the existential approach are the key provisions and principles of existentialism as formulated by J.-P. Sartre. The auxiliary statements belong to A. Camus and V. Frankl. The authors clarify the conceptual formation of existential theory, starting with E. Husserl’s phenomenology and moving on to modern psychology. The authors believe that the establishment of existential theory contributed to the development of the existential tradition in psychological counseling practice.

Dynamic capabilities and institutional size of financial cooperatives

The study examines the relationship between dynamic capabilities and institutional size of financial cooperatives. A mixed research design was adopted to study 269 savings and credit cooperatives (SACCOs) in Uganda. Structural equation modelling and content analysis were carried out. The results indicate that dynamic capabilities and institutional size of financial cooperatives are significant and positively related. Further, the constructs of dynamic capability of coordination, learning, and competitive response contribute to the increase in membership, capital base, returns to members, and portfolio quality of SACCOs. The study concludes that the size and development of financial cooperatives depends heavily on the institutional and managerial capabilities for coordination, learning, and competitive responses to the environment. The study’s contribution is to highlight the complexity of the environment in which the financial cooperatives operate and the importance of dynamic capabilities to succeed.

An investigation of the challenges to coordination at the interface of primary and specialized palliative care services in Switzerland: A qualitative interview study

ABSTRACT Good coordination of healthcare services is vital for ensuring health cost efficiency and high-quality care for patients. It is especially important in the context of palliative care as services are often highly fragmented due to a combination of diverse professional groups, organizations, and approaches to care. However, the coordination of services in this field is often evaluated as insufficient. Little is known about the challenges to coordination in this sector in Switzerland. The present study addresses this gap in research by investigating the challenges to coordination at the interface of palliative care services in Switzerland. Interviews (n = 24) with 38 healthcare practitioners working in palliative care in four cantons (Basel-City, Lucerne, Ticino, and Vaud) form the basis for this investigation. The selected cantons not only represent French, Italian, and German language regions of Switzerland but also represent diverse rural, urban, and historical contexts. Expert interviews are analyzed using structural content analysis. Three clusters of challenges to coordination were identified in the data: (1) organizational challenges to coordination, which relate to explicit forms of coordination; (2) relational challenges to coordination; and (3) structural challenges to coordination, which relate to implicit forms of coordination. The study reveals a need for better financial support for coordination in palliative care and a stronger focus on interprofessional coordination in educating professionals in palliative care. Future research on how to further foster good team coordination practices between primary and specialized palliative services merits further investigation. Since these findings are indicative of areas for improvement for coordination at the interface of Swiss palliative care services, they are of particular interest for healthcare practitioners, policymakers, and researchers involved in the evolution of coordinative practice.

Green Brand of Companies and Greenwashing under Sustainable Development Goals

Implementing Sustainable Development Goals (SDGs) and increasing environmental issues provokes changes in consumers’ and stakeholders’ behavior. Thus, stakeholders try to invest in green companies and projects; consumers prefer to buy eco-friendly products instead of traditional ones; and consumers and investors refuse to deal with unfair green companies. In this case, the companies should quickly adapt their strategy corresponding to the new trend of transformation from overconsumption to green consumption. This process leads to increasing the frequency of using greenwashing as an unfair marketing instrument to promote the company’s green achievements. Such companies’ behavior leads to a decrease in trust in the company’s green brand from the green investors. Thus, the aim of the study is to check the impact of greenwashing on companies’ green brand. For that purpose, the partial least-squares structural equation modeling (PLS-PM), content analysis and Fishbourne methods were used. The dataset for analysis was obtained from the companies’ websites and financial and non-financial reports. The objects of analysis were Ukrainian large industrial companies, which work not only in the local market but also in the international one. The findings proved that a one point increase in greenwashing leads to a 0.56 point decline in the company’s green brand with a load factor of 0.78. The most significant variable (loading factor 0.34) influencing greenwashing was the information at official websites masking the company’s real economic goals. Thus, a recommendation for companies is to eliminate greenwashing through the publishing of detailed official reports of the companies’ green policy and achievements.

Functional group and diversity analysis of BIOFACQUIM: A Mexican natural product database

Background: Natural product databases are important in drug discovery and other research areas. An analysis of its structural content, as well as functional group occurrence, provides a useful overview, as well as a means of comparison with related databases. BIOFACQUIM is an emerging database of natural products characterized and isolated in Mexico. Herein, we discuss the results of a first systematic functional group analysis and global diversity of an updated version of BIOFACQUIM. Methods: BIOFACQUIM was augmented through a literature search and data curation. A structural content analysis of the dataset was performed. This involved a functional group analysis with a novel algorithm to automatically identify all functional groups in a molecule and an assessment of the global diversity using consensus diversity plots. To this end, BIOFACQUIM was compared to two major and large databases: ChEMBL 25, and a herein assembled collection of natural products with 169,839 unique compounds. Results: The structural content analysis showed that 15.7% of compounds and 11.6% of scaffolds present in the current version of BIOFACQUIM have not been reported in the other large reference datasets. It also gave a diversity increase in terms of scaffolds and molecular fingerprints regarding the previous version of the dataset, as well as a higher similarity to the assembled collection of natural products than to ChEMBL 25, in terms of diversity and frequent functional groups. Conclusions: A total of 148 natural products were added to BIOFACQUIM, which meant a diversity increase in terms of scaffolds and fingerprints. Regardless of its relatively small size, there are a significant number of compounds and scaffolds that are not present in the reference datasets, showing that curated databases of natural products, such as BIOFACQUIM, can serve as a starting point to increase the biologically relevant chemical space.

Functional group and diversity analysis of BIOFACQUIM: A Mexican natural product database.

Background: Natural product databases are important in drug discovery and other research areas. Their structural contents and functional group analysis are relevant to increase their knowledge in terms of chemical diversity and chemical space coverage. BIOFACQUIM is an emerging database of natural products characterized and isolated in Mexico. Herein, we discuss the results of a first systematic functional group analysis and global diversity of an updated version of BIOFACQUIM. Methods: BIOFACQUIM was augmented through a literature search and data curation. A structural content analysis of the dataset was done. This involved a functional group analysis with a novel algorithm to identify automatically all functional groups in a molecule and an assessment of the global diversity using consensus diversity plots. To this end, BIOFACQUIM was compared to two major and large databases: ChEMBL 25, and a herein assembled collection of natural products with 169,839 unique compounds. Results: The structural content analysis showed that 16.1% of compounds, 11.3% of scaffolds, and 6.3% of functional groups present in the current version of BIOFACQUIM have not been reported in the other large reference datasets. It also gave a diversity increase in terms of scaffolds and molecular fingerprints regarding the previous version of the dataset, as well as a higher similarity to the assembled collection of natural products than to ChEMBL 25, in terms of diversity and frequent functional groups. Conclusions: A total of 148 natural products were added to BIOFACQUIM, which meant a diversity increase in terms of scaffolds and fingerprints. Regardless of its relatively small size, there are a significant number of compounds, scaffolds, and functional groups that are not present in the reference datasets, showing that curated databases of natural products, such as BIOFACQUIM, can serve as a starting point to increase the biologically relevant chemical space.

ENCOURAGING AND DISCOURAGING FACTORS FOR NETWORKING AMONG TECHNOLOGY FIRMS: A CASE STUDY IN THE TECHNOLOGY, INNOVATION AND KNOWLEDGE FIRMS NETWORK (TIKFN)

ABSTRACT Purpose: The aim of this article is to identify which factors encourage and/or discourage companies to operate as a network, based on the Technology, Innovation and Knowledge Firms Network (TIKFN). Originality/value: Few advances have been made in the literature to understand the technology-based firms’ cooperation networks (TBFs), which have different characteristics, especially in relation to levels of uncertainty and innovation. Design/methodology/approach: It was conducted a Study Case on this paper. Therefore, data were collected through documents, semi structured questionnaires and focal groups to assure data source triangulation. Additionally, data analysis consisted of networks structural analysis, regression analysis and content analysis by frequency and category. Findings: Among the observed results, it is noticeable that congruence of objectives, length of participation and network strengthening represent the encouraging factors for network operation. On the other hand, asymmetric interests, low actors’ engagement and lack of active management are the discouraging factors. In order to assure the credibility of this study, results were evaluated through two focal groups composed by the network managers and participants, thus increasing the authenticity of the study. Results can be considered relevant as they contribute to understand the behavior of technology companies in a network, whose characteristics differ from other interorganizational networks especially regarding uncertainty levels and access to resources and information.

Changes in Global Trade Patterns and Women's Employment in Manufacturing, 1995–2011

ABSTRACTThis study investigates the feminization and defeminization trends in manufacturing employment in thirty countries from 1995 to 2011. Utilizing two separate methods, structural decomposition analysis (SDA) and factor content analysis (FCA), the study identifies the major industries and trade partners behind the structural shifts in trade that have induced changes in employment and thus in the rates of women’s employment. The findings highlight that, as a general trend, defeminization in manufacturing has persisted in the Global North, led by a negative trade impact in low-technology industries. In the Global South, feminization and defeminization trends are not as straightforward. Despite positive changes in women’s share of employment in medium-high- and high-technology industries, negative gender bias effects of trade changes are found particularly in high-technology industries, where occupations are notably gendered.

Teacher AfL perceptions and feedback practices in mathematics education among secondary schools in Tanzania

Feedback that monitors and scaffolds student learning has been shown to support learning. This study investigates the effect of mathematics teachers’ perceptions of Formative Assessment (FA) and Assessment for Learning (AfL) and their conceptions of assessment on the quality of their feedback practices. The study was conducted in 48 secondary schools in Tanzania with 54 experienced mathematics teachers teaching Grade 11 (Form three in the Tanzanian system). Validated questionnaires were combined with interviews to investigate mathematics teachers’ perceptions, conceptions, and feedback practices. Data were analysed by structural equation modeling and content analysis techniques. Results from the structural equation model indicated that mathematics teachers’ perceptions of FA and AfL and their conceptions of assessment purposes positively predicted the quality of their feedback practices. Interview results illustrated that mathematics teachers used their students’ assessment information for both formative and summative purposes. Future interventions for improving the quality of mathematics teacher’s feedback practices are proposed.

A SI model for social media influencer maximization

Social network mining can be divided into two categories, namely, the study of structural characteristics and content analysis. One of the most significant problem in the context of a social network is finding the most influential entities within the network. This task has significance in viral marketing, since the most influential entities can be targeted for endorsing new products in the market. However, the problem of discovering the most persuasive node in a social network has proved to be NP-hard and also the exact algorithms cannot be designed. This creates a wide scope for developing approximation methods and algorithms that are able to produce solutions with proven approximation guarantees. Greedy algorithm serves as a base for most of the existing algorithms designed for dealing with these problems. Greedy algorithm can achieve a good approximation, but it is found to be computationally expensive. Therefore, in this paper we propose a two level approach, designed based on Suspected-Infected (SI) epidemic model for maximizing the influence spread. We further propose that, multithreading approach for implementation of algorithm for the proposed SI model aids to further elevate the performance of proposed algorithm in terms of influence spread per second.