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Multimodal writing portfolios were introduced and integrated into an undergraduate course and a graduate course in a research-oriented university in northwest Taiwan. This study aims to examine the influence of multimodal writing portfolios of novice researchers' academic writing.

Comparative case studies involve collecting data from several cases and analyzing the similarities, differences and patterns across cases (Merriam, 2009). To address this underdeveloped area of research, a comparative case study method was employed to understand undergraduate and graduate students' multimodal writing portfolios in academic writing in two courses in Taiwan.

First, multimodal writing portfolios enabled novice researchers to be more familiar with the structure of academic paper and they had better performance in intrapersonal and linguistic aspects. Second, novice researchers held positive attitude toward multimodal writing portfolios because they regarded process of making multimodal writing portfolios as preparation for their future academic writing. Finally, participants highly valued the class PowerPoint slides, weekly writing tasks and the instructor's modeling as effective facilitation for making multimodal writing portfolios.

Limited studies focus on multimodal writing portfolios (e.g. Silver, 2019). The present case study explores the integration of a multimodal writing portfolio into one undergraduate and one graduate course to explore learners' attitude and performance in academic writing.

Novice researchers can learn to compose multimodal academic texts for the academic writing community.

Suggestions on effective integration of multimodal writing portfolios into academic writing instruction were provided based on the research findings.

The findings of the study provide the field of L2 writing with insights into the pedagogical development of multilingual writing portfolios and help educators to be better prepared for teaching novice researchers to comprehend and compose multimodal texts and enter the academic writing community. The framework in Figure 1 and suggestions on course designs for academic writing can inform educators on the integration of multimodality in academic discourse. Moreover, this study moves beyond general writing courses at the tertiary level and could contribute to L2 writers' deeper understanding of how multimodal writing portfolios can be constructed.

The authors passively apply a researcher profile pitch (RPP) template tool in accounting and across a range of Business School disciplines.

The authors document a diversity of worked examples of the RPP. Using an auto-ethnographic research design, each showcased researcher reflects on the exercise, highlighting nuanced perspectives drawn from their experience. Collectively, these examples and associated independent narratives allow the authors to identify common themes that provide informative insights to potential users.

First, the RPP tool is helpful for accounting scholars to portray their essential research stream. Moreover, the tool proved universally meaningful and applicable irrespective of research discipline or research experience. Second, it offers a distinct advantage over existing popular research profile platforms, because it demands a focused “less”, that delivers a meaningful “more”. Further, the conciseness of the RPP design makes it readily amenable to iteration and dynamism. Third, the authors have identified specific situations of added value, e.g. initiating research collaborations and academic job market preparation.

The RPP tool can provide the basis for developing a scalable interactive researcher exchange platform.

The authors argue that the RPP tool potentially adds meaningful incremental value relative to existing popular platforms for gaining researcher visibility. This additional value derives from the systematic RPP format, combined with the benefit of easy familiarity and strong emphasis on succinctness. Additionally, the authors argue that the RPP adds a depth of nuanced novel information often not contained in other platforms, e.g. around the dimensions of “data” and “tools”. Further, the RPP gives the researcher a “personality”, most notably through the dimensions of “contribution” and “other considerations”.

In ethnographic research, negotiating insider–outsider perspectives is essential in order to get closer to the participants’ lives. By highlighting the importance of empathy and reflexivity, the paper attempts to trace my reflexive navigation as a novice researcher as I enter the field as an outsider. The process of co-creation between the researcher and the participant is mediated by the nuances of the researcher’s identity, thereby shaping the researcher–participant relationship.

The current study elaborates my journey as a Ph.D. scholar in an ethnographic study of persons with spinal cord injury or amputation. The different themes organised around my personal reflections discuss the various challenges I faced and how I navigated through them.

The paper reflects on how different aspects of my identity, such as being non-disabled, a female and differences in socioeconomic status shaped the researcher–participant relationship. Additionally, it highlights how I traverse through the blurred worlds of insider–outsider and explore the role of reflexivity and empathy in creating a horizontal researcher–participant relationship.

This reflexive journey offers potential insights into budding researchers who often face dilemmas whether or not it is necessary for qualitative researchers to be members of the population they are studying. The paper also contributes to an understanding around practising reflexivity while working with a sensitive population. It argues researchers to look beyond the insider–outsider debate and utilise reflexivity as a tool for a nonhierarchical researcher–participant relationship.

By a thorough bibliometric examination of the area through time, this paper analyses the research landscape of metaverse in education. It is an effort that is focused on the metaverse research trends, academic production and conceptual focus of scientific publications.

The Web of Science (WoS) database was explored for information containing research articles and associated publications that met the requirements. For a thorough analysis of the trend, thematic focus and scientific output in the subject of metaverse in education, a bibliometric technique was used to analyse the data. The bibliometrix package of R software, specifically the biblioshiny interface of R-studio, was used to conduct the analysis.

The analysis of the metaverse in education spanning from 1995 to the beginning of 2023 reveals a dynamic and evolving landscape. Notably, the field has experienced robust annual growth, with a peak of publications in 2022. Citation analysis highlights seminal works, with Dionisio et al. (2013) leading discussions on the transition of virtual worlds into intricate digital cultures. Thematic mapping identifies dominant themes such as “system,” “augmented reality” and “information technology,” indicating a strong technological focus. Surprisingly, China emerges as a leading contributor with significant citation impact, emphasising the global nature of metaverse research. The thematic map suggests ongoing developments in performance and future aspects, emphasising the essential role of emerging technologies like artificial intelligence and virtual reality. Overall, the findings depict a vibrant and multidimensional metaverse in education, poised for continued exploration and innovation.

The study is among the pioneers that provide a comprehensive bibliometric analysis in the area of metaverse in education which will guide the novice researchers to identify the unexplored areas.

The purpose of this paper is to offer an accessible and interdisciplinary research strategy in organisational ethnography, called action ethnography, that acknowledges key concepts from action research and engaged and immersive ethnography. It aims to encourage methodological innovation and an impact turn in ethnographic practice.

A working definition of “action ethnography” is provided first. Then, to illustrate how an action ethnography can be designed by considering impact from the outset, the author draws on a study she is undertaking with a grassroots human rights monitoring group, based in England, and then discusses advantages and limitations to the approach.

The author suggests three main tenets to action ethnography that embrace synergies between action research and ethnography: researcher immersion, intervention leading to change and knowledge contributions that are useful to both practitioners and researchers.

This paper provides researchers who align with aspects of both action research and ethnography with an accessible research strategy to employ, and a better understanding of the interplay between the two approaches when justifying their research designs. It also offers an example of designing an action ethnography in practice.

Whereas “traditional” ethnography has emphasised a contribution to theoretical knowledge, less attention has been on a contribution to practice and to those who ethnographers engage with in the field. Action ethnography challenges researchers to consider the impact of their research from the outset during the research design, rather upon reflection after a study is completed.

Scientific impact is traditionally assessed with citation-based metrics. Recently, altmetric indices have been introduced to measure scientific impact both within academia and among the general public. However, little research has investigated the association between the linguistic features of research article titles and received online attention. To address this issue, the authors examined in the present study the relationship between a series of title features and altmetric attention scores.

The data included 8,658 titles of Science articles. The authors extracted six features from the title corpus (i.e. mean word length, lexical sophistication, lexical density, title length, syntactic dependency length and sentiment score). The authors performed Spearman’s rank analyses to analyze the correlations between these features and online impact. The authors then conducted a stepwise backward multiple regression to identify predictors for the articles' online impact.

The correlation analyses revealed weak but significant correlations between all six title features and the altmetric attention scores. The regression analysis showed that four linguistic features of titles (mean word length, lexical sophistication, title length and sentiment score) have modest predictive effects on the online impact of research articles.

In the internet era with the widespread use of social media and online platforms, it is becoming increasingly important for researchers to adapt to the changing context of research evaluation. This study identifies several linguistic features that deserve scholars’ attention in the writing of article titles. It also has practical implications for academic administrators and pedagogical implications for instructors of academic writing courses.

In past decades, artificial neural network (ANN) models have revolutionised various stock market operations due to their superior ability to deal with nonlinear data and garnered considerable attention from researchers worldwide. The present study aims to synthesize the research field concerning ANN applications in the stock market to a) systematically map the research trends, key contributors, scientific collaborations, and knowledge structure, and b) uncover the challenges and future research areas in the field.

To provide a comprehensive appraisal of the extant literature, the study adopted the mixed approach of quantitative (bibliometric analysis) and qualitative (intensive review of influential articles) assessment to analyse 1,483 articles published in the Scopus and Web of Science indexed journals during 1992–2022. The bibliographic data was processed and analysed using VOSviewer and R software.

The results revealed the proliferation of articles since 2018, with China as the dominant country, Wang J as the most prolific author, “Expert Systems with Applications” as the leading journal, “computer science” as the dominant subject area, and “stock price forecasting” as the predominantly explored research theme in the field. Furthermore, “portfolio optimization”, “sentiment analysis”, “algorithmic trading”, and “crisis prediction” are found as recently emerged research areas.

To the best of the authors’ knowledge, the current study is a novel attempt that holistically assesses the existing literature on ANN applications throughout the entire domain of stock market. The main contribution of the current study lies in discussing the challenges along with the viable methodological solutions and providing application area-wise knowledge gaps for future studies.

Lean Six Sigma 4.0 has brought about a paradigm shift in customization, automation, value creation and digitalization to achieve excellence in human factors, operations and sustainable development. Despite its potential, LSS 4.0 is still in its nascent stage, with researchers striving to identify the key and relevant components of LSS in relation to Industry 4.0. The present study aims to address this knowledge gap through a literature review and subsequently provide a conceptual framework for LSS within the context of digital transformation.

In this study, the authors have conducted a thorough review of reputable articles published between 2011 and 2022, focusing on the integration of Lean Six Sigma (LSS) and Industry 4.0 (I4.0). By using appropriate keywords, the authors identified around 85 relevant articles. The main objective of this integrative literature review was to analyze and extract valuable knowledge from the existing literature on LSS and I4.0. Based on the authors’ findings, a conceptual framework was developed.

The review revealed the motivators, building blocks, tools and challenges of LSS 4.0. The conceptual framework delves into the key aspects of LSS 4.0, focusing on the dimensions of people, process and technology, as well as their subdimensions. These subdimensions serve as the building blocks for developing LSS 4.0 capabilities. The proposed framework visually represents the conceptualization and the relationships among its components.

Only a few conceptual approaches to LSS are developed that include the concepts, new roles and elements of I4.0. As a result, this research investigates the gap in current LSS models preceding I4.0 and develops a conceptual framework to provide a novel and comprehensive summary of the new concepts and components driving nascent and current LSS practices in the digital era.

This study offers practical guidance for implementing LSS in the context of I4.0, emphasizing digital transformation. The findings highlight motivators, building blocks, tools, challenges and spread of LSS 4.0 practices, and present a conceptual framework of LSS 4.0. These insights can help organizations enhance their LSS capabilities and achieve excellence in human factors, operations and sustainable development.

This study aims to make a significant contribution to the model-building efforts of researchers focusing on LSS 4.0. By offering practical guidance, the points discussed in this study help enhance the implementation efforts of practitioners and organizations in the context of I4.0, with a specific focus on digital transformation. The guidance provided takes into account the perspectives of people, processes and technology, providing valuable insights for successful integration.

The purpose of this study is to offer insight into present dynamics and study diversification in the field of organizational psychology. This research study offers an organized and critical examination of the construct of psychological detachment using bibliometric analysis.

This study was done using the Scopus database based on studies published between 2006 and 2024. The significance of the research is evaluated by looking at the distribution volume, the trajectory of the publication, statistics techniques, extremely cited articles, journals, most frequently used keywords, research themes, subthemes clusters and thematic overview of the psychological detachment corpus created based on bibliographic coupling. Furthermore, content analysis of recent publications to identify new developments and potential gaps in the existing literature.

This research first tracked the development of this discipline’s body of literature through time and discovered a continuous rise starting in 2015. The results also highlighted crucial concepts that were studied with psychological detachment, such as work-life balance, employment outcomes, emotional exhaustion and various other demographic variables. Researchers chose to concentrate on those subtopics throughout time.

This research relied solely on Scopus data, which, despite being the largest abstract and citation database covering articles from a wide range of fields, does not include Impact Factor or Social Science Citation Index (SSCI) data, which is one of the limitation.

The findings of this research study will assist organizations and practitioners in comprehending the implications of psychological detachment construct at their workplace and give them direction on how they come out from negative job-related outcomes (employee job stress, turnover intention and burnouts at their respective workplaces).

This study offers a diversity of study topics across the psychological detachment literature by applying a variety of bibliographical mapping techniques, making it the first of its type on the topic of psychological detachment. It also indicates promising avenues for further investigation.

This paper aims to examine the most commonly used categories of sustainability literature review regarding their purpose, nature, strengths, weaknesses and potential for impact. This paper also discusses the motivation, incremental contribution and framing that occurs by considering the research papers included in this Special Issue.

Given the paucity of clear guidelines for undertaking, writing and publishing literature review studies in sustainability research, this paper describes the main types and processes in conducting a literature review and emerging tools that can help advance the field.

This paper finds a variety of approaches in application with strengths and weaknesses, including the emerging role of software support, artificial intelligence and machine learning. This paper reviews the ethical implications of using emerging tools in the sustainability literature review methodology and their impacts on originality, authenticity and accountability. This paper discusses the seven carefully selected and meticulously reviewed articles in this Special Issue through the lens of these findings by specifically highlighting their purpose, strengths, weaknesses and practical and policy implications.

Through the systemization of ways to conduct meaningful literature reviews, this paper explores the significant relevance of the method in creating a basis of academic understanding and advancing future research that can have significant impacts on the industry. Through the discussion of the articles in this Special Issue, this paper highlights the practical and policy implications and limitations of literature reviews in sustainability research.

This paper highlights the purpose of literature reviews in identifying areas for further research and how the papers included in this Special Issue achieve this goal, i.e. how their findings possess specific positive externalities in summarizing and systematizing sustainability research.

This paper systematizes methods and processes for writing impactful literature reviews in sustainability research, particularly focusing on the use of emerging technology and the opportunities and challenges this may offer in this process.