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The purpose of this collaborative self-study inquiry was to enhance the professional practice of faculty members through the adoption of lesson study. A seven-member faculty of education self-study group engaged in lesson study in a computer and learning resources for primary/elementary teachers’ course with teacher candidates.

This study focused on providing teacher candidates with increased opportunities for action and expression during in-class instruction. This collaborative lesson study inquiry (Fernandez et al., 2003; Fernandez and Yoshida, 2004; Murata, 2011) involved the four-step process of planning, doing, checking and acting (PDCA) (Cheng, 2019). Several data collection methods were adopted and data sources analyzed.

Challenges the group encountered during the study included ascertaining the goals of lesson study and offering critical feedback to each other. While this made decision-making more intricate and intentional, there was exceptional value in participating in the lesson study process. The results revealed three overarching themes: 1) challenges in classroom observations; 2) hesitation in providing supportive feedback to colleagues and 3) deliberations regarding what constitutes expertise within subject-specific preservice teacher education.

While lesson study has been adopted fairly extensively in K-12 settings, its adoption in postsecondary education is limited (Chenault, 2017). Considering the merits of lesson study for K-12 practitioners, this research investigated the similar advantages that lesson study might have for postsecondary education faculty, students and programs.

The purpose of this paper is to study the presence of highly cited papers of Nature in social media websites and tools. It also tries to examine the correlation between altmetric and bibliometric indicators.

This descriptive study was carried out using altmetric indicators. The research sample consisted of 1,000 most-cited articles in Nature. In February 2019, the bibliographic information of these articles was extracted from the Scopus database. Then, the titles of all articles were manually searched on Google, and by referring to the article in the journal website and altmetric institution, the data related to social media presence and altmetric score of articles were collected. The data were analyzed using Microsoft Excel and SPSS.

According to the results of the study, from 1,000 articles, 989 of them (98.9 per cent) were mentioned at least once in different social media websites and tools. The most used altmetric source in highly cited articles was Mendeley (98.9 per cent), followed by Citeulike (79.8 per cent) and Wikipedia (69.4 per cent). Most Tweets, blog posts, Facebook posts, news stories, readers in Mendeley, Citeulike and Connotea and Wikipedia citations belonged to the article titled “Mastering the game of Go with deep neural networks and tree search”. The highest altmetric score was 3,135 which belonged to this paper. Most tweeters and articles’ readers were from the USA. The membership type of the tweeters was public membership. In terms of fields of study, most readers were PhD students in Agricultural and Biological Sciences. Finally, the results of Spearman’s Correlation revealed positive significant statistical correlation between all altmetric indicators and received citations of highly cited articles (p-value = 0.0001).

The results of this study can help researchers, editors and editorial boards of journals better understand the importance and benefits of using social media and tools to publish articles.

Altmetrics is a relatively new field, and in particular, there are not many studies related to the presence of articles in various social media until now. Accordingly, in this study, a comprehensive altmetric analysis was carried out on 1000 most-cited articles of one of the world's most reliable journals.

The paper aims to explore how business intelligence (BI), integration and agility influence supply chain performance.

The study was performed by the exploratory sequential mixed method in two phases including meta-synthesis as a qualitative method and survey as a quantitative method. Data were collected through a survey of 369 Iranian companies across various industries. Structural equation modeling was used to test hypotheses.

The results show that BI, integration and agility play an important role in achieving better supply chain performance. In the meantime, BI has the greatest impact on supply chain performance. Additionally, BI has a positive and significant effect on the integration and agility of the supply chain. The study also found that integration has a direct effect on supply chain agility.

To the best of the authors' knowledge, the paper theoretically and empirically presents a new conceptual model of the relationship between BI, integration, agility and supply chain performance. The study helps researchers and practitioners to achieve insights into supply chain performance improvement.

The purpose of this paper is to identify and design the axial coding pattern of the factors affecting the unplanned use behavior of users of the academic libraries and information centers.

The study as an applied research with a qualitative approach employed the grounded theory. The data collection tool was a deep and semi-structured interview. The interviews data were analyzed and coded during three stages of open, axial and selective coding using the MAXQDA 10 qualitative analysis software. The research population consisted of faculty members and experts in three areas of library and information science, management and psychology. Using the combined targeted sampling method (targeted and then the snowball), 12 subjects were selected as the sample size.

According to the research findings, the factors affecting the unplanned behavior of users in the use of academic libraries resources and services were identified as factors related to technology, environmental factors, information resources, information services, human resources, individual features, time position factor, cultural factors and social factors. Accordingly, the axial coding pattern of this type of behaviors was designed.

The research limitations include the lack of theoretical basis related to the unplanned behavior issue in the field of library and information science and the lack of full familiarity of most of the experts in the field of library and information science with this topic. These factors lead to the necessity of explaining the subject under discussion.

The unplanned behavior of clients can be utilized to persuade users to use the information resources and library services so that the costs spent on their preparation and collection will be justifiable. The current research addressed this aspect of the unplanned information-seeking behavior.

This paper aims to draw a roadmap for the presence of Iranian academic libraries in the cloud infrastructure.

This research attends an applied-development one that is a part of developmental research due to its conceptual expansion, foresight and roadmap for the presence of cloud-based academic libraries and finally, becoming cloud libraries. Because of providing a roadmap template, the presence of academic digital libraries in the cloud and becoming a cloud library is applied research. Because of providing a roadmap template, academic digital libraries’ presence in the cloud and becoming a cloud library is one of the applied research areas. The statistical population of this research includes all Iranian digital academic libraries. There were 64 digital libraries out of which 59 libraries participated in completing the questionnaire.

Preliminary results from used Delphi method’s first round which was considered by 59 experts were identified typically and descriptive after appropriate component classification and editing. After identifying these factors, each of the roadmap levels in the third stage and the degree of relevance approved by the experts were reviewed and the most critical and relevant factors were identified as key components of the roadmap for the presence of cloud-based academic libraries and becoming cloud libraries. At this stage, they were selected as 24 factors, including seven factors for the first layer, eight factors for the second layer and nine factors for the third layer.

By introducing a roadmap for the presence of academic digital libraries in the cloud context, they will promote more and better interaction between academic libraries to offer services to users anytime and anywhere.

The main purpose of this paper is to identify factors affecting the adoption of Web 2.0 tools by librarians of academic libraries located in Hamedan, Iran.

Methodologically, this survey is applied using a descriptive approach. The statistical population of the survey was 47 librarians of academic and college libraries located in Hamedan (Iran). The tool used for data gathering is a questionnaire made based on the relevant literature as well as authors' standpoint. It consists of 39 questions under ten broad factors. The collected data were analyzed with SPSS (version 16).

Totally, ten broad factors affecting the adoption of Web 2.0 tools by the librarians were identified. The most effective factors are job conditions, changeability, skills, competitiveness, and saving time.

To positively and effectively affect the adoption of Web 2.0 tools by librarians especially Hamedan academic librarians, holding training courses and related workshops, the inclusion of lessons regarding Web 2.0 tools and their application in the academic courses planned and run by LIS departments, implementing open and distance learning (ODL), attracting LIS professionals to the field of Web 2.0, buying needed software and hardware equipment, and addressing the importance of adopting and using Web 2.0 tools for academic and library managers should not be neglected.

This study may contribute to the field in terms of better understanding of factors affecting the adoption of Web 2.0 tools and thus better usage of these and other emerging technologies in academic libraries and information centers.