Search results

The present study reviews the literature on the history and evolution of investment strategies in the stock market for the period from 1900 to 2022. Conflicts and relationships arising from such diverse seminal studies have been identified to address the research gaps.

The studies for this review were identified and screened from electronic databases to compile a comprehensive list of 200 relevant studies for inclusion in this review and summarized for the cognizance of researchers.

The study finds a coherence to complex theoretical documentation of more than a century of evolution on investment strategy in stock markets, capturing the characteristics of time with a chronological study of events.

There were complications in locating unpublished studies leading to biases like publication bias, the reluctance of editors to publish studies, which do not reveal statistically significant differences, and English language bias.

Practitioners can refine investment strategies by incorporating behavioral finance insights and recognizing the influence of psychological biases. Strategies span value, growth, contrarian, or momentum indicators. Mitigating overconfidence bias supports effective risk management. Social media sentiment analysis facilitates real-time decision-making. Adapting to evolving market liquidity curbs volatility risks. Identifying biases guides investor education initiatives.

This paper is an original attempt to pictorially depict the seminal works in stock market investment strategies of more than a hundred years.

This research sought to document the volume, development trend and geographical distribution of the research on teacher autonomy, identify high-impact journals, authors and documents and reveal the intellectual structure of the field.

This paper analyzed the articles published on the related subject in the Web of Science (WoS) and/or Scopus. Based on certain exclusion criteria, analyses were conducted on a total of 259 articles. The data were then subjected to descriptive analyses and bibliometric analyses.

The review found that the teacher autonomy knowledge base has grown dramatically since 2004. In the co-citation analysis, it was determined that four clusters focused on the themes of professionalism and professional development, leadership and self-efficacy, autonomy in language teaching and learning and self-determination theory. According to the co-word analysis in this review, the most co-occurring keywords were revealed to be “teacher autonomy,” “autonomy,” “teachers,” “teacher professionalism” and “professional development.”

Despite increasing numbers of systematic reviews focusing on educational administration and leadership, this paper represents the first bibliometric review conducted to reveal the development of research on teacher autonomy using both the WoS and Scopus databases. Teacher autonomy can be regarded as an emerging field of study backed up by a theoretical background. Although there are some distinct prominent scholars in the research area, autonomy research still needs more scholars to specialize in the field.

This scoping review aims to explore how “food media”, “food messages” and “food content” are referred to in scholarly writing to enhance a shared understanding and comparability.

Following the PRISMA, ScR-guidelines, four scientific databases were screened on published manuscripts in academic journals, books and doctoral theses mentioning food media, content and messages within the prevalent meaning as in human communication.

Of the 376 included manuscripts, only a small minority (n = 7) provided a conclusive definition of at least one of the three earlier-mentioned concepts; 40 others elucidated some aspects of food media, messages or content; however, they emphasized different and, sometimes even, contrasting aspects. In addition, the review explores in which disciplines the manuscripts mentioning food media, messages or content occur, which methodologies are used and what target groups and media are most common.

Based on this aggregated information, a definition of food media, messages and content is proposed, aiming to enhance the comparability of diverse academic sources. This contribution invites scholars to critically reflect on the included media and content types when comparing studies on food media, messages or content.

This study aims to investigate the combined use of System Dynamics (SD) applications in Enterprise Engineering (EE) research and practice. SD application in EE is becoming widely accepted as a tool to support decision-making processes and for capturing relationships within enterprises.

A systematic literature review (SLR) is conducted using a standard SLR method to provide a comprehensive review of existing literature. The search was conducted on ten platforms identifying 30 publications which were analysed through the use and development of a codebook.

The SLR showed that 90% of the result set consisted of peer-reviewed academic conferences and journal papers. The SLR identified a highly dispersed author set of 83 authors. Amongst these authors, Vinay Kulkarni was an active author who has co-authored up to four publications in this research area. The analysis further revealed that the combined use of SD applications and EE is an emerging research area that still needs to develop in maturity. While all phases of EE have received attention, the current research work is more focused on the design phase. The important gap between model development and implementation is identified.

The study elucidates the existing status of interdisciplinary research combining techniques from the SD and EE disciplines, suggesting future research topics that combine the strengths of these existing disciplines.

Studies of inter-organizational relationships have traditionally overlooked the human resource management (HRM) field, with most research focusing on collaborations in the technical domain. This study endeavors to explore the impact of organizational human resources (HR) collaborations on HR innovativeness, drawing on theories about organizational learning capabilities to explain this connection. By analyzing the synergies arising from inter-organizational HR collaborations, this study aims to seek to shed light on the potential for HRM to contribute to organizational performance and foster innovation.

The study is based on a quantitative survey conducted among 326 Dutch companies. The survey aims to find out whether these companies collaborate with other organizations on HR-related issues, the extent to which they renew their HRM function, and whether they apply organizational learning practices. The data collected for the survey are analyzed using Hayes PROCESS macro to investigate mediation effects.

As per the study, HR collaboration results in innovation. The research suggests that collaborating with HR across different organizations significantly contributes to HR innovation. This relationship can be explained by the inter-organizational learning practices that organizations adopt. Therefore, when organizations collaborate with each other, they learn from each other, which enhances their learning capabilities and ultimately leads to HR innovation.

This study delves into the extent to which organizations collaborate on HR-related issues, which is a relatively new field. Moreover, it contributes to the research on the connection between inter-organizational relationships and innovation by showing how much of it is explained by organizational learning.

This bibliometric literature review aims to uncover the (1) intellectual foundations and (2) topical evolution in the field of career aspiration research.

We employed the systematic literature review methodology following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. According to the predetermined criteria, 286 articles were included from the Web of Science database. Then, we employed performance analysis, science mapping and natural language processing to address our research objectives.

Co-citation analysis uncovered four foundational themes: (1) gender and leadership aspiration, (2) Social Cognitive Career Theory, (3) process of career development and (4) adolescents’ career aspiration. Moreover, co-word analysis showed that scholarly foci have shifted from adolescents’ career development to diverse streams. This shift was indicated by the exploration of additional research samples, such as university students, and topics related to specific aspirations (e.g. entrepreneurial and managerial aspirations) and gender issues (e.g. women leadership and gender stereotypes).

Although this review has limitations related to data selection, it presents implications for practice, theory and future research on career aspirations.

The study illuminated the past and development of a research domain, thus advancing the understanding of career aspirations and inspiring future research.

This study is intended to introduce and summarise Industry 4.0 practices in BRICS nations (the abbreviation “BRICS” is made up of the first letters of the member countries: Brazil, Russia, India, China and South Africa) and determine each nation’s current contribution to Industry 4.0 practice implementation based on past literature. As the BRICS countries continue to play an essential role in the global economy, it is significant to understand Industry 4.0, focussing on these emerging economies.

To assess the present research work on Industry 4.0 practices and research studies in BRICS nations, a systematic literature review (SLR) is performed using the articles available on the SCOPUS database. This study is a descriptive analysis based on the frequency and year of publications, the most influential universities, most influential journals and most influential articles. Similarly, this study consists of category analysis based on multi-criteria decision-making (MCDM) methods, research design used, research method utilised, different data analysis techniques and different Industry 4.0 technologies were used to solve different applications in the BRICS nations.

According to the analysis of past literature, the primary identified practices are centred on operations productivity, waste management, energy reduction and sustainable processes. It also found that despite the abundance of research on Industry 4.0, the major academic journal publications are restricted to a small number of industries and issues in which the manufacturing and automotive industries are front runners. The categorisation of selected papers based on the year of publication demonstrates that the number of publications has been rising. It is also found that China and India, out of the BRICS countries, have contributed significantly to Industry 4.0-related publications by contributing 61 percent of the total articles identified. Similarly, this study identified that qualitative research design is the most adopted framework for research, and empirical triangulation is the least adopted framework in this field. The categorisation of selected articles facilitates the identification of numerous gaps, such as that 67.14% of the literature research is qualitative.

Understanding Industry 4.0 in the BRICS nations helps to identify opportunities for international collaboration and future cooperation possibilities. This study helps to promote collaboration between BRICS countries and other nations, organisations or businesses interested in capitalising on these growing economies' assets and capabilities related to Industry 4.0 technologies. This study helps to provide essential insights into the economic, technological and societal impacts, allowing for effective decision-making and strategic planning for a sustainable and competitive future. So, this contribution links the entire world in terms of the better utilisation of resources, the reduction of downtime, improving product quality, personalised products and the development of human resource capabilities through the application of cutting-edge technologies for nearly half of the world’s population.

In this study, BRICS nations are selected due to their significant impact on the world regarding social, economic and environmental contributions. In the current review, 423 articles published up to August 2022 were selected from the SCOPUS database. The comparison analysis of each BRICS nation in the form of applications of Industry 4.0, the primary area of focus, leading industry working, industry involvement with universities and the area that needs attention are discussed. To the best of our knowledge, this is the most recent SLR and meta-analysis study about Industry 4.0 in BRICS nations, which analysed the past available literature in nine different descriptive and category-wise classifications, considering a total of 423 articles. Based on this SLR, this study makes some important recommendations and future directions that will help achieve social, economic and environmental sustainability in BRICS nations.

The purpose of this paper is to clarify the influence of linguistic profiling on perceived employability. In doing so, we recognize multiple factors that can contribute to this relationship. Using the systems theory framework (STF) of career development, we categorize these factors based on whether they primarily reside within the societal system, the organizational system, or the individual system. Subsequently, we construct and present an open systems model that depicts the influence of linguistic profiling on perceived employability in context with other societal, organizational and individual factors.

The STF provides a theoretical perspective on how to contextualize linguistic profiling and perceived employability within the scope of career development. We employed an integrative literature review method to locate existing research studies that investigated the influences of linguistic profiling and perceived employability. The literature search process, coupled with inclusion and exclusion criteria, resulted in 46 publications retained for analysis.

Findings provided evidence of language ideologies that contribute to linguistic profiling globally. Linguistic profiling usually results in reduced perceived employability. There was variation in the research findings based on the context of the research studies. The context consisted of the societal, organizational and individual systems in which the research study was conducted. Findings supported our construction of an open systems model of the influence of linguistic profiling on perceived employability, which is rooted in the STF.

This study highlights the negative influence of linguistic profiling on perceived employability. It also demonstrates how the STF can be used to contextualize the linguistic profiling problem within societal and organizational systems.

By studying the green development efficiency (GDE) of 33 cities in the provinces of Jiangsu, Zhejiang, and Fujian in China, this study strives to conduct an analysis of the sustainable practices implemented in these developed regions, and derive valuable insights that can foster the promotion of green transformation.

First, the urban green development system (GDS) was decomposed into the economic benefit subsystem (EBS), social benefit subsystem (SBS), and pollution control subsystem (PCS). Then, a mixed network SBM model was proposed to evaluate the GDE during 20152020, with Moran’s I and Bootstrap truncated regression model subsequently applied to measure the spatial characteristics and driving factors of efficiency.

Subsystem efficiency presents a distribution trend of PCS > EBS > SBS. There is a particular spatial aggregation effect in EBS efficiency, whereas SBS and PCS efficiencies have no significant spatial autocorrelation. Furthermore, urbanization level contributes significantly to the efficiency of all subsystems; industrial structure, energy consumption, and technological innovation play a crucial role in EBS and SBS; external openness is a pivotal factor in SBS; and environmental regulation has a significant effect on PCS.

This study further decomposes the black box of GDS into subsystems including the economy, society, and environment. Additionally, by employing a mixed network SBM model and Bootstrap truncated regression model to investigate efficiency and its driving factors from the subsystem perspective, it endeavors to derive more detailed research conclusions and policy implications.

This study aims to provide insights into the drivers of student engagement in food waste reduction strategies in educational institutions. The proposed research model integrates social media celebrities' attractiveness, expertise and trustworthiness with the value belief norm (VBN) theory to explore their influence on students' behaviour towards food waste reduction.

The data were collected from 417 students enrolled in public and private universities in the Riyadh and Macca regions of Saudi Arabia to evaluate the proposed model. The partial least squares-structural equation modelling (PLS-SEM) was employed to analyse the responses.

The results showed that VBN theory's components, such as values (biospheric, altruistic and egoistic), beliefs (new ecological paradigm, awareness of consequences and aspirations of responsibility) and norms significantly and positively influence food waste reduction behavioural intentions. It was also discovered from the results that social media celebrities' attractiveness, expertise and trustworthiness influence food waste reduction behavioural intentions.

This study contributes significantly to the literature by identifying factors influencing student engagement in food waste reduction strategies in educational institutions where limited research exists. It fills this research gap by developing a novel theoretical framework integrating social media celebrities' attributes with the VBN theory to explain these factors.