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The COVID-19 pandemic is considered a “once in a century” public health shock that, at the time of writing, continues to have a profound impact on global tourism and New Zealand. The paper aims to assess how consumer behaviour trends changed using a trends analysis framework.

Positioning the paper in the prognosis–prediction paradigm from futures studies and using a trend analysis approach, the authors forecasted a series of tourist trends at the beginning of COVID-19 based upon a multitude of sources trends. Then, 12 months later, they reported on the accuracy of these forecasts.

The matrix identifies 15 trends based upon consumer behaviour changes, which are either dominant, slowed, advanced or arrested. The prognosis was largely correct, which was supported by evidence gathered 12 months later.

The paper uses a series of different data sources to reflect on the initial forecasts. To some, this may be an issue of rigor, but the authors argue that through triangulation, credibility and validity are increased.

First, the evaluation matrix allows users to make sense of COVID-19 based upon the concepts of dominant, slowed, advanced or arrested trends. Second, the matrix allows users to evaluate changes and movement of trends. Third, the trends featured in this paper could be generalisable to several different circumstances associated with simple identity. Fourth, this paper has tested the ability to predict trends in an uncertain environment within the context of the ontological paradigm of prognosis and prediction of futures states.

More and more statistics have repeatedly shown that as the economic development has entered the New Normal, the Chinese fiscal system has experienced tremendous changes. Although chance cannot be ruled out, much of those changes indicate trends, and they can even be said to be the result of the law of economic development. These trends and changes have repeatedly demonstrated that, as a reflection and an inevitable result of the economic developing speed shift, structural adjustment and energy conversion, the Chinese fiscal system, far from the conventional operating state, has progressed on a new path. The paper aims to discuss this issue.

This paper systematically analyzes several new trends and changes in the Chinese fiscal system under the New Normal. First, revenue growth has experienced a sharp downward trend, while the tax elasticity coefficient has declined rapidly. Second, fiscal expenditure has risen against the tendency, while the rigidity of expenditure has kept on increasing.

Considering the present fiscal and taxation system reform with the analysis above, it can be seen that if the reform’s progress for the past two years is slower than expected – thus, preventing the effects of all aspects from a timely achievement – then, in the recent period, the agreement on the fiscal and taxation system reform will be reached and challenges entirely different from the past, including sharp slowdown in revenue growth rate, fiscal expenditure rising against trend and increases in fiscal deficit and government debts will be faced. The factors encouraging the reform are gathering gradually. The growth of the strength to push the reform forward is speeding up. And the pace of the reform in relevant areas is quickening.

In the face of those trends and changes, on the one hand, the authors should deeply understand and accurately grasp them through a comprehensive summary and systematic analysis. On the other hand, a series of conventional ideas, thoughts and strategies should be adjusted comprehensively and duly. Taking a train of new ideas, thoughts and strategies, the authors ought to actively adapt to and initiate a new Chinese fiscal structure under the New Normal of China’s economy.

The aim of this paper is to explore whether open innovation is emerging in the Italian fashion industry.

Based on available studies on innovation and open innovation, we first identified the main facets of open innovation within the industry investigated, such as the process of searching for new ideas, the involvement of external partners in the new product development process and the use of collaboration mechanisms between supply chain partners. Starting from these findings, the authors designed a semi-structured questionnaire that was used as a guideline for 15 case studies, carried out in the Italian fashion industry.

The outcomes from the case studies allow drawing some conclusions about the emergency of open innovation in the fashion industry and the related patterns.

Given its exploratory nature, this study is expected to start a debate about open innovation in the fashion industry, as well as to encourage future studies in this field.

The purpose of this paper is to outline the profile of Italian tourists belonging to the new generations: Millennials or Generation Y (approximately people born in the 1980-1995 period) and post-Millennials or Generation Z (approximately people born in the 1996-2010 period).

After reviewing some of the more interesting research on Millennials and post-Millennials, the paper will present the results of an unpublished online empirical survey conducted on a sample of 200 Italian web users who agreed to participate. The questionnaire, administered via computer-assisted web interviewing system, consists of structured questions concerning the practices, attitudes, emerging needs and use of new technologies that characterize Millennials and post-Millennials, with a special focus on tourism.

The research will consider the differences between the two groups, as well as possible differences within each group linked to other socio-demographic variables (such as gender and area of residence).

The paper addresses a series of innovative questions: what are the practices of Millennials and Post-Millennials as tourists? What are the needs of these generations that the tourist industry must respond to? How do new technologies support Millennials and post-Millennials in their tourism choices? What are the main differences between Millennials and post-Millennials?

This article highlights the dynamic and evolving nature of libraries and the role of librarians within the changing landscape. It discusses how libraries have traditionally operated and how they have been impacted by 4IR and external factors such as the COVID-19 pandemic.

The study employed a mixed methods research approach, combining an online questionnaire to derive quantitative data and interviews to provide qualitative data. The follow-up interviews provided a comprehensive understanding of how academic librarians at the DUT library use Continuing Professional Development (CPD) to adapt to the evolving environment.

This paper reports that there was consensus that CPD empowers the librarians to adapt seamlessly to the dynamic library landscape. It equips them with the knowledge and skills to stay updated on the latest trends, technologies and best practices in their field.

The findings carry implications for the planning and executing of ongoing CPD programmes and activities across all academic libraries.

This study provides an insight into the results of the importance of CPD for librarians within a developing country in southern Africa.

This study focuses on the role of individuals in the innovation management process, by concentrating on leaders and associated behaviors. Specifically, Entrepreneurial Leadership (EL) represent one of the most important fields of innovation management that has become increasingly multifaceted and interdisciplinary with its evolution. Thus, the purpose of this study is to examine a newly emerging research trend with a new lens that is “neuroscience”.

This paper finds an evidence-based roadmap by reviewing the literature with a quantitative Bibliometric Analysis (BA) employing Co-Citation (Co-C) and bibliographic coupling analysis (BcA) to find linkages between the leadership and entrepreneurship literature and the neuroscience literature.

This study identifies five promising groups of research areas such as the organizational approach, the biological approach, the cognitive approach, the emotional approach and it identify five future research topics such as dynamic skills in innovation exploitation process, the human aspect of leadership, the building process of leadership, the biological perspective of leadership and the application of neuroscience in the ecosystem. Moreover, we find an evidence-based roadmap for stimulating focused EL within the broad topic of innovation management research, to move the field forward.

Although the past few years have observed the necessity of review studies on the subsets of biological factors, no reviews have sought to bring those different subsets together into a broader biological perspective. This study provides important indications on the interdisciplinary developments between the neuroscience aspects and EL, as a new emerging paradigm within the broad field of innovation management.

This paper aims to contribute to the understanding of the concept of a trend and the discourse of trend analysis.

This paper concisely discusses the concept of trends, the value of trend analysis for strategic planning and hierarchical trend pyramids as a tool to scan and analyse trends.

The examples will be given of how specific mega, meso and micro trends are related within a hierarchic trend pyramid.

The tool of trend pyramids helps to structurally analyse and understand trends and developments. Such analysis and understanding are relevant for strategic foresight and scenario planning in leisure and tourism.

The literature on trend levels and pyramids is scarce and varies in interpretation. The aim of this paper is to integrate the various viewpoints into a useful instrument for the scanning and analysis of trends and developments.

The purpose of the study was to detect trends in human resource management (HRM) research presented in journals during the 2000–2020 timeframe. The research question is: How are the interests of researchers changing in the field of HRM and which topics have gained popularity in recent years?

The approach adopted in this study was designed to overcome all the limitations specific to the systematic literature reviews and bibliometric studies presented in the Introduction. The full texts of papers were analyzed. The text-mining tools detected first clusters and then trends, moreover, which limited the impact of a researcher's bias. The approach applied is consistent with the general rules of systematic literature reviews.

The article makes a threefold contribution to academic knowledge. First, it uses modern methodology to gather and synthesize HRM research topics. The proposed approach was designed to allow early detection of nascent, non-obvious trends in research, which will help researchers address topics of high value for both theory and practice. Second, the results of our study highlight shifts in focus in HRM over the past 19 years. Third, the article suggests further directions of research.

In this study, the approach designed to overcome the limitations of using systematic literature review was presented. The analysis was done on the basis of the full text of the articles and the categories were discovered directly from the articles rather than predetermined. The study's findings may, however, potentially be limited by the following issues. First, the eligibility criteria included only papers indexed in the Scopus and WoS database and excluded conference proceedings, book chapters, and non-English papers. Second, only full-text articles were included in the study, which could narrow down the research area. As a consequence, important information regarding the research presented in the excluded documents is potentially lost. Third, most of the papers in our database were published in the International Journal of Human Resource Management, and therefore such trends as “challenges for international HRM” can be considered significant (long-lasting). Another – the fourth – limitation of the study is the lack of estimation of the proportion between searches in HRM journals and articles published in other journals. Future research may overcome the above-presented limitations. Although the authors used valuable techniques such as TF-IDF and HDBSCAN, the fifth limitation is that, after trends were discovered, it was necessary to evaluate and interpret them. That could have induced researchers' bias even if – as in this study – researchers from different areas of experience were involved. Finally, this study covers the 2000–2020 timeframe. Since HRM is a rapidly developing field, in a few years from now academics will probably begin to move into exciting new research areas. As a consequence, it might be worthwhile conducting similar analyses to those presented in this study and compare their results.

The present study provides an analysis of HRM journals with the aim of establishing trends in HRM research. It makes contributions to the field by providing a more comprehensive and objective review than analyses resulting from systematic literature reviews. It fills the gap in literature studies on HRM with a novel research approach – a methodology based on full-text mining and a big data toolset. As a consequence, this study can be considered as providing an adequate reflection of all the articles published in journals strictly devoted to HRM issues and which may serve as an important source of reference for both researchers and practitioners. This study can help them identify the core journals focused on HRM research as well as topics which are of particular interest and importance.

Research on the intersection of start-ups and digital transformation is still in its infancy, but it is gathering speed and has entered a period of ferment that may lead to discoveries and deeper understandings. From a purely descriptive standpoint, the topic has only recently entered an exponential development phase. This study aims to provide an overview of the digital transformation in start-ups.

The research only looked into account papers that mentioned the ((“Digital transformation”) AND (“Startups”) OR (“Entrepreneurship”) OR (“Entrepreneur”)) for the title, abstract and keywords. The R programming language's Biblioshiny package was considered for thoroughly examining the papers.

This study evaluated the overview of digital transformation in start-ups between 2016−2022 using the articles from the Dimension database. The study of digital transformation is increasingly popular, but there needs to be more research focused specifically on the digital transformation of start-up companies. While the overall trend shows a rise in the interest and investigation of digital transformation, the number of studies explicitly addressing start-up digital transformation still needs to be higher. The highest publication and citation related to digital transformation is of Andreja Pucihar. The findings also show that the Sustainability journal has the highest network with other citations. Also, it has been found that the focus on digital transformation addresses the need for more research based on various theoretical perspectives. Based on the prominence percentile, the top three future research topics that can be explored are Product Innovation; Sustainability; Frugality, Digital Transformation; Strategic Alignment, and Cybersecurity; Strategies; Digital Transformation.

The current study may serve as a general guideline for future investigation into this topic.

Regarding the practical ramifications, this study’s findings can help entrepreneurs prepare to launch a business or are already doing so. This study’s results provide a comprehensive framework of success variables that must be considered to improve the venture's performance.

This study’s originality is from presenting a structured and in-depth literature review that describes the current state of the art for digital transformation in start-ups. A complete analysis of the data gathered on its digital transformation in start-ups is offered to establish that it is sustainable.

Due to the increasing demand for public services, as a new form of public governance, e-participation has emerged. Scholars from various disciplines have published plenty of research results on e-participation. This paper aims to reveal the research status frontiers directly by mapping knowledge domains.

The authors take 1,322 articles on e-participation published in Web of Science from 2001 to 2017 as research object. They then run the information visualization software CiteSpace to drill deeper into the literature data.

The study found that e-participation research has the obvious interdisciplinary feature; the author and institution cooperation networks with less internal cooperation are relatively sparse; the USA ranks first in the field of e-participation research, followed by the UK, with the other countries lagged behind; and e-participation through social media is gradually becoming the new research focus.

Based on the objective data and information visualization technology, the research intuitively reveals the research status and development trend of e-participation.