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This paper aims to explore the relationship between the characteristics of social media health information and its adoption. The purpose is to identify information characteristics that can be used to estimate the level of health information adoption in advance.

According to the Information Adoption Model (IAM), the study extracted ten information characteristics from the aspects of information quality and information source credibility. The sample data was collected from the top ten influential health accounts based on the Impact List of Sina Weibo to test the effectiveness of these characteristics in distinguishing information at different levels of adoption. The forecasting of information adoption level is regarded as a binary classification question in the study and support vector machine (SVM) is used to do the research.

The results indicate that ten information characteristics chosen in this study are related to information adoption. Based on these information characteristics, it is feasible to estimate the level of health information adoption, and the estimation accuracy is relatively high.

A lot of work has been done in previous researches to reveal the factors that influence information adoption. The theoretical contribution of this work is to further discuss how to use the influencing factors to do some predictive work for information adoption. In practice, it will help health information publishers to disseminate high-quality health information more effectively as well as promote the adoption of health information.

The purpose of this study is to determine the optimal shape of a one-sided elliptical composite material patch of an adhesively bonded repair of cracked metal plates under biaxial stress.

The approach consists on determining the patch topology and adhesive thickness that minimize the stress intensity factor and the bending moment caused by the asymmetry of the repair by applying a differential evolution algorithm with a selection phase using the Deb’s rules.

The results demonstrate that an elliptical patch of major axis length equal to the plate width, and minor axis length equal to the crack length, with a thin adhesive thickness, provides the highest stress intensity factor and bending moment reduction, maximizing the fatigue life of the repair.

The results are limited to linear elastic behavior of the cracked plate and a fully rigid bond between the cracked plate and the patch. The effectiveness of the repair was verified by theoretical calculation of the fatigue life, thus experimental validation is still needed.

The results of this work can be applied to experimental validations of the effectiveness of the elliptical one-side composite bonded repairs, avoiding and extensive number of experiments, and also, encourage maintainers to explore on this technique that is more economical and easier to apply, in comparison to other repair techniques. By following the patch geometry recommendations proposed herein, it is analytically predicted that the fatigue life may increase by as much as 27 times that of the unpatched plate.

Currently, there are no detailed studies that assess one-side patch repair procedures, which require consideration of the bending moment and biaxial stress state, and therefore, the optimal patch geometry and adhesive thickness are unknown.

Voice role identification and the psychosocial voice barriers represented by implicit voice theories (IVTs) affect lean team members' prosocial voice behavior and thereby lean team performance. This paper investigates how role definition and IVTs influence individual lean team-members' prosocial voice behavior during lean implementation.

This research was conducted in four case readymade garment (RMG) factories in Bangladesh following a mixed-method research approach dominated by a qualitative research methodology. Under the mixed-method design, this research followed multiple research strategies, including intervention-based action research and case studies.

The findings suggest that voice role perception affects the voice behavior of the individual lean team members. The findings also demonstrate that voice role definition significantly influences individually held implicit voice beliefs in lean teams.

This research was conducted in four sewing lines in four RMG factories in Bangladesh. There is a need for a cross-sector and cross-country large-scale study that follows the quantitative research methods in different contexts.

This research contributes to the operations management literature, especially in lean manufacturing, by presenting the difficulties of mobilizing employee voice in lean problem-solving teams. This work provides new knowledge to managers to address challenges and opportunities to ensure decent work and to improve productivity.

This research raises a key issue of employee voice and its influence on lean performance which addresses two critical areas of employee voice behavior in lean teams: team-members' voice role perception and implicit voice beliefs that influence their voice behavior in the workplace, thereby influencing team performance.

Due to the size and importance of social media, user-generated content analysis is becoming a key factor for companies and brands across the world. By using Twitter messages’ content, the purpose of this paper is to identify which elements of the messages enable tweet diffusion and facilitate eWOM.

In total, 30,082 tweets collected from 10,120 Twitter users were classified based on four assorted brands. By comparing with multiple regression techniques high vs low purchase involvement and hedonic vs utilitarian products and using the theory of heuristic-systematic processing of information, the authors examine the causes of tweet diffusion.

The authors illustrate how the elements of a tweet (hashtags, mentions, links, sentiment or tweet length) influence its diffusion and popularity.

This study validated the use of information processing theories in the social media field. The study showed a picture on how different Twitter elements influence eWOM and message diffusion under several purchase involvement situations.

The results of this study can help social media brand community managers of all types of companies on how to write their Twitter messages to obtain greater dissemination and popularity.

The study offers a unique deep brand analysis which helps brands and companies to understand their social media popularity in detail. Depending on product category, companies can achieve maximum social impact on Twitter by focusing on the interactivity items that will work best for their products or brands.

The purpose of this paper is to assess the adherence to the traits of the queen bee phenomenon (QBP) for women who hold leadership positions in Brazilian higher education institutions (HEIs) and to compare their responses with those of women without leadership positions and of men on the same dimensions.

A total of 703 academics from 88 HEIs participated in this study. The data were analyzed using a statistical package to calculate descriptive and inferential statistics. For these, 2 × 2 analysis of variance tests were performed to compare leader women vs nonleader women and leader women vs leader men.

The results indicate that leader women do not fit to all dimensions of the QBP. They report high averages to commitment, agency traits and personal sacrifices to career (Male self-description) and to meritocratic discourse. However, leader women assess their junior counterparts with higher averages to commitment and agency traits than women without leadership positions and leader men assess their junior counterparts. Women in leadership positions report superior identification with same gender colleagues and declare to be more supportive with affirmative policies for women's professional development than nonleader women and leader men.

This study reinforces that same gender conflict in the work environment is not a female characteristic and also promotes reflections on the influence of organizational culture, men hostility toward quotas and gender stereotypes for female progression in the academic context.

This study provides an empirical analysis of the QBP to academic women in Brazilian HEIs and compares its dimensions to nonleader women and leader men. The analysis of a sexist culture enabled original results, as nondistancing of the self-group, even if leader women presented some QB traits.

Designing efficient XML schemas is essential for XML applications which manage semi‐structured data. On generating XML schemas, there are two opposite goals: to avoid redundancy and to provide connected structures in order to achieve good performance on queries. In general, highly connected XML structures allow data redundancy, and redundancy‐free schemas generate disconnected XML structures. The purpose of this paper is to describe and evaluate by experiments an approach which balances such trade‐off through a workload analysis. Additionally, it aims to identify the most accessed data based on the workload and suggest indexes to improve access performance.

The paper applies and evaluates a workload‐aware methodology to provide indexing and highly connected structures for data which are intensively accessed through paths traversed by the workload.

The paper presents benchmarking results on a set of design approaches for XML schemas and demonstrates that the XML schemas generated by the approach provide high query performance and low cost of data redundancy on balancing the trade‐off on XML schema design.

Although an XML benchmark is applied in these experiments, further experiments are expected in a real‐world application.

The approach proposed may be applied in a real‐world process for designing new XML databases as well as in reverse engineering process to improve XML schemas from legacy databases.

Unlike related work, the reported approach integrates the two opposite goal in the XML schema design, and generates suitable schemas according to a workload. An experimental evaluation shows that the proposed methodology is promising.

This study aims to analyze the influence of future expectations of the book-to-market ratio (B/M) and return on equity (ROE) in explaining the Brazilian capital market returns.

The study analyzed the explanatory power of risk-factor approach variables such as beta, size, B/M ratio, momentum and liquidity.

The results show that future expectations of the B/M ratio and ROE, when combined with proxies for risk factors, were able to explain part of the variations of Brazilian stock returns. With respect to risk factors approach variables, the authors verified the existence of size and B/M effects and a liquidity premium in the Brazilian capital market, during the period analyzed.

This research was limited to the non-financial companies with shares traded at Brasil, Bolsa and Balcão, from January 1, 1995 to June 30, 2015. This way, the conclusions reached are limited to the sample used herein.

The evidences herein presented can also contribute to establishing investment strategies, considering that the B/M ratio may be calculated through accounting information announced by companies. Besides, using historical data enable investors, in a specific year, to calculate the predictor variables for the B/M ratio and ROE in the next year, which enhance the explanatory power of the current B/M, when combined in the form of an aggregate predictor variable for stock returns.

The main contribution of this study to the literature is to demonstrate how the expected future B/M ratio and ROE may improve the explanatory capacity of the stock return, when compared with the variables traditionally studied in the literature.

In the channel-mix era, the customer journey involves combining channels during all the stages of the decision-making process, such that creating and maintaining relationships with consumers poses a challenge to retailers. This work aims to explore what role brands play in this issue by analyzing what impact the perceived benefits of brand channel-mix have on consumer self–brand connection (SBC) and what their effect is in enduring consumer–brand relationships (i.e. future channel-mix use and word of mouth [WOM]). This paper also explores the moderating role of product involvement in these relations.

The authors carried out a personal questionnaire with a sample of 288 consumers who were recruited after leaving one of the stores of a clothing brand that is a successful example of distribution channel management.

Insofar as consumers perceive channel-mix benefits, SBC will be higher and (or as a result) their future intentions with the brand will be more intense. In addition, the results show that product involvement moderates the relationship between SBC and channel-mix use intention and WOM.

This work contributes to channel-mix, relationship marketing, brand and product involvement literature by analyzing how customers may be retained in the channel-mix era through brand management and by considering product category involvement. This study merges brand and product variables to explore their impact on relationship marketing within channel-mix behaviors.

This paper aims to describe the evolution of an academic library’s approach to first-year student information literacy instruction from face-to-face instruction to a fully integrated online microcredential. The design considerations, motivation theory and evaluation methods used to create and evaluate the course are also discussed, with implications for future library microcredential design, integration and research in campus first-year seminar courses.

In this paper, a multi-method approach is used to evaluate an undergraduate asynchronous online information literacy microcredential embedded in a first-year seminar. Two methods (Likert scale survey and coded reflection essays) were used to evaluate whether one method may be more beneficial than the other in future iterations of evaluating microcredentials.

In looking at a complex cognitive process such as motivation, multiple approaches to analyzing student thoughts may be beneficial. In addition, the role of the first-year seminar instructor, to help students make a connection to library material, is reinforced as is the need to provide students with accurate expectations for time required to complete online asynchronous microcredential courses.

This paper addresses the evaluation of microcredentials in academic libraries and also has implications for other campus departments investigating the creation of microcourses that are integrated into campus programs. These implications can be addressed in the design and development phases of the microcredential using Keller’s attention, relevance, confidence and satisfaction model, and in turn, can be improved through iterative evaluation cycles using collected student data.

The purpose of this paper is to discuss the pedagogical tools that can enhance transdisciplinarity in higher education and stimulate sustainability transitions, based on the case study of a partnership between the University of Brasilia and an ecovillage in Brazil.

A qualitative study was carried out, based on professors’ experience, students’ reports and registration data. Emergent themes were discussed based on the concepts of sustainability transitions, transdisciplinarity and active/experiential learning methods.

Undergraduate classes at the ecovillage have motivated students to work towards sustainability transitions by presenting them with new repertoires of sociotechnical configurations and social practices, by promoting a feeling of belonging and co-responsibility for the world and by a horizontal sharing of knowledge and affections that instigated reflections about their purposes in personal and professional life.

This experience demonstrates the potential of transdisciplinary pedagogical approaches to education for sustainability that promote collaboration with different stakeholders and the reflection on individual and collective motives and values – the inner dimension of sustainability.

It describes an innovative and transformative initiative in the heart of Latin America.