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Front-line lean leadership is critical for implementing and sustaining lean production systems (LPS). The purpose of this paper is to analyze the relationships between front-line lean leader (FLL) capacities (cognitive, social, motivational, knowledge and experience), lean leader practices (developing people and supporting daily kaizen) and the degree of implementation of lean tools (pull system, involvement of employees and process control) in manufacturing companies.

A survey was conducted with FLLs from large Brazilian manufacturing companies. The survey collected 103 responses, 99 of which were validated. Data were analyzed using partial least squares structural equation modeling.

There was a positive, significant and direct relationship between FLL capacities, leadership practices and a degree of implementation of LPS tools on the shop floor. The validated model is a reference base for planning FLL capacities and practices that result in more effectively implementing LPS on the shop floor.

The findings provide managers with a new perspective on the importance of the development and training of FLLs focusing on leadership capacities. As decisions about developing lean capabilities impact the application of Lean leadership practices and the use of lean tools, they are also related to day-to-day lean activities and improved operational results. Additionally, the proposed model can be used by managers as a basis to diagnose, develop and select lean leaders.

This study seeks to fill a theoretical gap of knowledge on front-line lean leadership as it jointly addresses and empirically analyzes the existing relationships between lean leadership capacities, encompassing the perspective of psychology, lean practices and tools on the shop floor.

The study aims to shed light on the current state of “Dataset repositories” indexed in Directory of Open Access Repositories (OpenDOAR).

From each repository/record information, the Open-Access Policies, Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH), year of creation and the number of data sets archived in the repositories were manually searched, documented and analyzed.

Developed countries like the United Kingdom and the USA are primarily involved in the development of institutional open-access repositories comprising significant components of OpenDOAR. The most extensively used software is DSpace. Most data set archives are OAI-PMH compliant but do not follow open-access rules. The study also highlights the sites’ embrace of Web 2.0 capabilities and discovers really simple syndication feeds and Atom integration. The use of social media has made its presence known. Furthermore, the study concludes that the number of data sets kept in repositories is insufficient, although the expansion of such repositories has been consistent over the years.

The work has the potential to benefit both researchers in general and policymakers in particular. Scholars interested in research data, data sharing and data reuse can learn about the present state of repositories that preserve data sets in OpenDOAR. At the same time, policymakers can develop recommendations and policies to assist in the construction and maintenance of repositories for data sets.

According to the literature, there have been numerous studies on open-access repositories and OpenDOAR internationally, but no research has focused on repositories preserving content-type data sets. As a result, the study attempts to uncover various characteristics of OpenDOAR Data set repositories.

The purpose of this paper is to compile a comprehensive status report on pipes/piping networks across different industrial sectors, along with specifications of materials and sizes, and showcase welding avenues. It further extends to highlight the promising friction stir welding as a single solid-state pipe welding procedure. This paper will enable all piping, welding and friction stir welding stakeholders to identify scope for their engagement in a single window.

The paper is a review paper, and it is mainly structured around sections on materials, sizes and standards for pipes in different sectors and the current welding practice for joining pipe and pipe connections; on the process and principle of friction stir welding (FSW) for pipes; identification of main welding process parameters for the FSW of pipes; effects of process parameters; and a well-carved-out concluding summary.

A well-carved-out concluding summary of extracts from thoroughly studied research is presented in a structured way in which the avenues for the engagement of FSW are identified.

The implications of the research are far-reaching. The FSW is currently expanding very fast in the welding of flat surfaces and has evolved into a vast number of variants because of its advantages and versatility. The application of FSW is coming up late but catching up fast, and as a late starter, the outcomes of such a review paper may support stake holders to expand the application of this process from pipe welding to pipe manufacturing, cladding and other high-end applications. Because the process is inherently inclined towards automation, its throughput rate is high and it does not need any consumables, the ultimate benefit can be passed on to the industry in terms of financial gains.

To the best of the authors’ knowledge, this is the only review exclusively for the friction stir welding of pipes with a well-organized piping specification detailed about industrial sectors. The current pipe welding practice in each sector has been presented, and the avenues for engaging FSW have been highlighted. The FSW pipe process parameters are characteristically distinguished from the conventional FSW, and the effects of the process parameters have been presented. The summary is concise yet comprehensive and organized in a structured manner.

The primary purpose of this study is to examine the factors leading to shopping cart abandonment and construct a model depicting interrelationship among them using interpretive structural modeling (ISM) and Matriced Impact Croises Multiplication Appliquee an un Classement (MICMAC).

Initially, 20 factors leading to shopping cart abandonment were extracted through a systematic literature review and expert opinions. Fifteen factors were finalized using the importance index and CIMTC method, for which consistency has been checked in SPSS software through a statistical reliability test. Finally, ISM and MICMAC approach is used to develop a model depicting the contextual relationship among finalized factors of shopping cart abandonment.

The ISM model depicts a technical glitch (SC8), cash on delivery not available (SC4), bad checkout interface (SC9), just browsing (SC11), and lack of physical examination (SC12) are drivers or independent factors. Additionally, four quadrants have been formulated in MICMAC analysis based on their dependency and driving power. This facilitates technical managers of e-commerce companies to focus more on factors leading to shopping cart abandonment according to their dependency and driving power.

Taking an expert’s opinion as a base may affect the results of the study due to biases based on subjectivity.

This study’s outcomes would accommodate practitioners, researchers, and multinational or national companies to indulge in e-commerce to anticipate factors restricting the general public from online shopping.

For the successful running of an e-commerce business and to retain the confidence of e-shoppers, every e-commerce company must make a strategy for controlling factors leading to shopping cart abandonment at the initial stage. So, this paper attempts to highlight the main factors leading to shopping cart abandonment and interrelate them using ISM and MICMAC approaches. It provides a clear path to technical heads, researchers, and consultants for handling these shopping cart abandonment factors.

The current study seeks to investigate, why and how faculty members of Indian central universities are using academic social networking sites (ASNs) for research communication and information dissemination, as well as validate and update the results of previous scholarship in this area. To achieve this, the paper uses structural equation model (SEM).

A simple random sampling method was adopted. Online survey was conducted using a well-designed questionnaire circulated via email id among 3384 faculty members of Indian Central Universities. A SEM was designed and tested with International Business Machines (IBM) Amos. Apart from this, Statistical Package for Social Sciences (SPSS) 22 and Microsoft Excel 2010 were also used for data screening and analysis.

The study explores that most of the respondents are in favour of using the ASNs/tools for their professional activities. The study also found that a large chunk of the respondents used ASNs tools during day time. Apart from it, more number of faculty members used ASNs in research work than general purpose. No significant differences were found among the disciplines in use behaviour of ASNs in scholarly communication. Three hypotheses have been accepted while two were rejected in this study.

The study was confined to the twelve central universities, and only 312 valid responses were taken into consideration in this study.

The paper demonstrates the faculty members’ use behaviour of ASNs in their research communication. The study also contributes new knowledge to methodological discussions as it is the first known study to employ SEM to interpret scholarly use of ASNs by faculty members of Indian central universities.

This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.

The study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.

The study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.

This study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.

This study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.

To the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.

The purpose of this study is to examine research on academic libraries and the social web published from July 1, 2019, to June 30, 2023.

The article search and filtering procedures mirrored those of Choi and Harper (2020) and Carlsson (2015), resulting in a total sample size of 93 articles. These articles underwent examination based on the same eight variables (i.e. journal outlet, research theme, publication year, social web type, method, keyword, study participant type and study country) as employed by Choi and Harper (2020) and Carlsson (2015), with the addition of two new variables (i.e. research purpose and the impact of COVID-19).

The research article volume has consistently maintained a stable trend. A notable difference from Choi and Harper (2020) and Carlsson (2015) is the rise of “user perspectives” as the second most prevalent theme. Unlike Choi and Harper (2020), the “survey” method is predominant. Many research purposes, excluding “marketing and promotion,” lack attention. Additionally, there’s a dearth of studies on the impact of COVID-19.

The findings from the study not only offer a snapshot of the current research landscape on academic libraries and their engagement with the social web but also offer insights for future scholarly endeavors.

There is a limited effort in exploring the recent literature regarding the role of the social web in academic libraries. This study serves as a valuable guide for contributing to this dynamic research stream and provides various up-to-date implications.

This research paper aimed to investigate the affordances of using virtual reality (VR) in teaching culture among in-service teachers of teaching Persian to speakers of other languages (TPSOL) in Iran.

This qualitative case study, conducted at two Iranian universities, used purposeful sampling to select 34 eligible in-service Persian teachers from a pool of 73. Data collection used an open-ended questionnaire and interviews.

Before the TPSOL in-service training workshop, teachers expressed their reservations regarding the use of VR to teach culture in TPSOL courses. The emerged themes were “skepticism toward effectiveness,” “practicality concerns,” “limited awareness of VR applications,” “technological apprehension” and “prevalence of traditional teaching paradigms.” During the post-workshop interview, it was discovered that the teachers’ perceptions of VR in teaching culture had undergone a positive shift. The workshop generated emergent themes that reflected positive perceptions and affordances for using VR to teach culture in TPSOL, including “enhanced cultural immersion,” “increased student engagement,” “simulation of authentic cultural experiences,” and “facilitation of interactive learning environments.”

One primary limitation is the lack of prior experience with VR for teaching practices in real-world classrooms among the participants. While the study aimed to explore the potential of VR in enhancing pedagogical approaches, the absence of participants with prior exposure to VR in educational contexts may impact the generalizability of the findings to a broader population. Additionally, the study faced practical constraints, such as the unavailability of sufficient facilities in the workshop. As a result, the instructor had to project the VR cont7ent on a monitor, potentially diverging from the immersive nature of true VR experiences. These limitations offer opportunities for future research to refine methodologies and gain a more comprehensive understanding of the implications of integrating VR into teaching practices.

Extensive research has been conducted on the effectiveness of VR in language education. However, there is a significant gap in research on TPSOL, which is considered a less commonly taught language. This study aims to address this gap by exploring the use of VR in the TPSOL through the lenses of in-service teachers. As part of a larger investigation, this qualitative inquiry focuses on the perceptions of in-service teachers about VR, with a particular emphasis on the cultural understanding of the Persian language.

This study aims to assess the extent to which Uganda university libraries have implemented digital transformation technologies and to determine the facilitators and barriers affecting the implementation of digital transformation in selected university libraries in Uganda.

This study used a convergent parallel mixed methods design. It was conducted in six selected university libraries in Uganda, which were in three private and three public universities. The study sample included 103 librarians with a minimum qualification of a bachelor’s degree and six library directors.

The findings indicated that there was an average (n = 37, 48.7%) implementation of digital transformation in the selected university libraries in Uganda. Some of the barriers hindering digital transformation included inadequate funding, lack of awareness of digital technologies, inadequate ICT skills, insufficient ICT infrastructure and limited staff among others. There is a need for library management to provide support in the form of funds, policies and human resources to implement such digital transformation.

The criteria for choosing universities were those that have been around for at least 10 years. The reason for this was that it was assumed that these universities would have well-established staff development programmes and procedures as well as be likely to have incorporated technology into their services, including libraries. This study’s limitations stem from the fact that this criterion for selection might not apply to all Ugandan university libraries, particularly those that are less than 10 years old and may not have been well represented in this study.

The magnitude of the problem of digital transformation in university libraries in Uganda is unclear because of the limited research available in the Uganda library and information science field. This study presents the status of digital transformation in Uganda university libraries.

This study aims to investigate the sustainable development goals (SDGs) awareness of public librarians, their perceived understanding of public libraries to achieve United Nation Sustainable Development Goals (UNSDGs) and identify the challenges affect the library adoption to SDGs.

In this study, a quantitative survey method was used to collect responses. The study population was all head of public libraries in Bangladesh. Seventy-one personalized individual e-mails with a link to a Web-based questionnaire were sent out to the public librarians (head of public libraries) inviting them to participate in this study. Fifty-nine responded to the survey, which was 83.09% of all population.

The findings revealed that public librarians working in different public libraries were generally aware of UNSDGs. The perceived understanding on the role of public libraries to achieve SDGs varies from SDG#1 to SDG1#7. However, most of the librarians’ responses ranked well in line with SDGs#1, #2, #3, #4 and #17, and they believed that their public libraries are doing well on some of these goals. Out of 17 SDGs, public libraries are working well on 7 goals. Lack of SDG-related activities, awareness, funds, implementation plan and unwillingness of the policymakers are challenges identified in this study.

There are not many studies on public libraries in Bangladesh, and the research areas are not diverse. There are only few studies in this area, and there is a need for different kinds of studies to reach a better overview and understanding when developing public library services to support SDGs. This could serve as the basis for a deeper study.