Mainstream Research Research Articles

Past, Present and Future of FinTech Research: A Bibliometric Analysis

This study has conducted a meta-literature review examining the past, present and possible future trends of Fintech research using 360 selected articles published between 2006 and June 2020. Both quantitative and qualitative techniques were applied. In the quantitative approach, a bibliometric citation analysis using HistCite and VOSviewer software was conducted and the qualitative analysis covered the identification of four main research streams related to (i) Bitcoin and digital currency, (ii) crowdfunding, (iii) mobile payment, and (iv) blockchain. The study results highlight the most influential aspects of the FinTech literature, such as the leading countries, institutions, journals, authors, and articles. Suggestions for the potential future direction of FinTech literature have also been made.

Text Mining of User-Generated Content (UGC) for Business Applications in E-Commerce: A Systematic Review

In the Web2.0 era, user-generated content (UGC) provides a valuable source of data to aid in understanding consumers and driving intelligent business. Text mining techniques, such as semantic analysis and sentiment analysis, help to extract meaningful information embedded in UGC. However, research on text mining of UGC for e-commerce business applications involves interdisciplinary knowledge, and few studies have systematically summarized the research framework and application directions of related research in this field. First, based on e-commerce practice, in this study, we derive a general framework to summarize the mainstream research in this field. Second, widely used text mining techniques are introduced, including semantic and sentiment analysis. Furthermore, we analyze the development status of semantic analysis in terms of text representation and semantic understanding. Then, the definition, development, and technical classification of sentiment analysis techniques are introduced. Third, we discuss mainstream directions of text mining for business applications, ranging from high-quality UGC detection and consumer profiling, to product enhancement and marketing. Finally, research gaps with respect to these efforts are emphasized, and suggestions are provided for future work. We also provide prospective directions for future research.

GAIN: A Gated Adaptive Feature Interaction Network for Click-Through Rate Prediction.

CTR (Click-Through Rate) prediction has attracted more and more attention from academia and industry for its significant contribution to revenue. In the last decade, learning feature interactions have become a mainstream research direction, and dozens of feature interaction-based models have been proposed for the CTR prediction task. The most common approach for existing models is to enumerate all possible feature interactions or to learn higher-order feature interactions by designing complex models. However, a simple enumeration will introduce meaningless and harmful interactions, and a complex model structure will bring a higher complexity. In this work, we propose a lightweight, yet effective model called the Gated Adaptive feature Interaction Network (GAIN). We devise a novel cross module to drop meaningless feature interactions and preserve informative ones. Our cross module consists of multiple gated units, each of which can independently learn an arbitrary-order feature interaction. We combine the cross module with a deep module into GAIN and conduct comparative experiments with state-of-the-art models on two public datasets to verify its validity. Our experimental results show that GAIN can achieve a comparable or even better performance compared to its competitors. Furthermore, in order to verify the effectiveness of the feature interactions learned by GAIN, we transfer learned interactions to other models, such as Logistic Regression (LR) and Factorization Machines (FM), and find out that their performance can be significantly improved.

A systematic review of contemporary safety management research: a multi-level approach to identifying trending domains in the construction industry

Safety management research in construction is pervasive, therefore, a systematic review and a bibliometric mapping process that provides an overview of how recent mainstream research topics are conceptually structured is timely. Undertaking systematic mapping, contemporaneous with a scoping review of construction safety management research, can contribute to a better understanding of research outcomes and predominant topics. This study employed VOSviewer as a bibliometric tool to identify co-author citations, as well as the co-occurrence of key terms within the title, abstract and keywords of the articles. A total of 180 representative studies published in 21 peer-reviewed journals between January 2010 and November 2021 were analysed. A systematic literature review identified a significant focus on conceptualizing safety climate and safety behaviour with a growing interest in applying advanced technologies for improved safety management. Two perspectives were recognized in safety research, i.e. process-driven and people-driven, with the former focussing on accident causation while the latter on underlying the active role of workers’ involvement in safety outcomes. An in-depth discussion of the findings revealed seven trending research domains: safety systems; safety skills; accident causation; safety leadership and communications; safety behaviour and attitude; safety climate and culture; and practices for improving safety performance. This review identified an emerging interest in seeking effective leadership styles and psychological interventions to promote safety culture and behaviour. In terms of practical implications, this study found opportunities to address the gap between theory and practice by adopting systems thinking and using IT for improving safety performance in construction projects.

Top 10 Differences between Machine Learning Engineers and Data Scientists

Data science and machine learning are subjects largely debated in practice and in mainstream research. Very often, they are overlapping due to their common purpose: prediction. Therefore, data science techniques mix with machine earning techniques in their mutual attempt to gain insights from data. Data contains multiple possible predictors, not necessarily structured, and it becomes difficult to extract insights. Identifying important or relevant features that can help improve the prediction power or to better characterize clusters of data is still debated in the scientific literature. This article uses diverse data science and machine learning techniques to identify the most relevant aspects which differentiate data science and machine learning. We used a publicly available dataset that describes multiple users who work in the field of data engineering. Among them, we selected data scientists and machine learning engineers and analyzed the resulting dataset. We designed the feature engineering process and identified the specific differences in terms of features that best describe data scientists and machine learning engineers by using the SelectKBest algorithm, neural networks, random forest classifier, support vector classifier, cluster analysis, and self-organizing maps. We validated our model through different statistics. Better insights lead to better classification. Classifying between data scientists and machine learning engineers proved to be more accurate after features engineering.

Bibliometric analysis of core competencies associated nursing management publications.

This study aimed to identify high-impact papers on global nursing to determine and analyse the publication of articles on core competencies in nursing-related journals and the research trends in the era of globalization. Bibliometrics has been shown to be an effective method for analysing publications. Through bibliometrics, nursing managers and researchers can understand the trends of high-impact international nursing core competencies research, identify mainstream research directions and obtain relevant knowledge and information, thereby facilitating the translation of research outcomes into nursing management practice. The study adopted bibliometric analysis and the VOSviewer software to explore dynamic publication trends and analyse the current situation of nursing research from a comprehensive development perspective, which was realized by searching for nursing core competencies papers in the Web of Science (WoS) database, calculating citations and determining the trends of the most influential papers. Nursing core competencies research grew rapidly between 1997 and 2022. Countries with the most core competencies publications were the United States, England, Australia and Canada. The Journal of Nursing Management has attracted substantial attention from researchers worldwide. Education, Management and Nurses were the most frequently used keywords in the study. A total of 534 papers were retrieved from the WoS database with the main research fields, including nursing, business economics, public environmental occupational health and health care science services. Equipping nursing graduates with core competencies has always been an important goal of global medical and nursing education. This study analysed papers across 35 years, most of which were published in the Journal of Nursing Management. In addition, the study identified some of the main research topics of nursing management, such as the integration of education with nursing management and the cultivation of nurses' core competencies. The study also provides a fresh review of highly cited articles. The results of the study show that high-quality articles play the role of improving both the quality and the quantity of related research. By analysing the trends of the research on core competencies, this study lays a bibliometric foundation for researchers regarding international journals, hot topics and relevant fields. In addition, the highly cited articles reveal new perspectives for the nursing field, providing inspiration for nursing management and education researchers. This study provides scholars and managers with an overview of the current situation of nursing management research and the development of benchmark journals. The study provides researchers not only with a better understanding of various international journals, allowing them to transition out of traditional thinking in the era of science and technology, but also with innovative thinking by combining research with nursing management. The results of this study invite nursing managers to study relevant topics of core competencies and integrate information technology to education, management and nurses, thereby contributing to nursing management and educational research.

SILENCE SPIRAL THEORY: FUNCTIONING OF SILENCE SPIRAL IN THE MEDIA SPECIFIC TO SOCIAL MEDIA

The spiral of silence theory, which is discussed in studies carried out after the 1960s in mainstream media research, is based on the assumption that the views and attitudes of individuals are affected by the prevailing climate of thought in the environment. According to the theory in question, individuals who go beyond the ideas and values adopted by the majority in society abstain from expressing their thoughts for fear of exclusion, and ultimately prefer to remain silent. Mass media, especially social media, play a major role in shaping the attitudes and thoughts of individuals. Social media platforms, which have come to the fore in parallel with the developments in communication technology, lead to significant transformations in the structure of society. Virtual platforms act as a kind of antidote for individuals who are silent in their real lives. The extent to which social media is successful in breaking the spiral of silence has been the subject of various studies. It is seen that individuals who are aware of the fact that they are watched in online environments and that every action they take leaves a trace, cannot act freely on virtual platforms either. In this context, it can be said that social media has moved away from the ideal of being a new area where ideas that are not generally accepted in society can be expressed easily. While the phenomenon of surveillance, which also shows its effect on social media platforms, tries to suppress people and limit them, this situation brings with it discussions about how much the liberation promised by social media is realized. In this study, it is theoretically discussed how the mixed theory of silence in the media works in social media. Keywords: Spiral of Silence, Media, Social Media.

A systematic bibliometric review of the United Nation’s SDGS: which are the most related to higher education institutions?

PurposeThis study aims to provide the current and future state of United Nations’ Sustainable Development Goals (SDGs) in the higher education institutions (HEIs). Since the SDGs’ proliferation, HEIs have played a crucial part in meeting the goals. Despite the central role of HEIs in accomplishing the SDGs, there has been little attention in providing a comprehensive overview of the SDGs in relation to HEIs.Design/methodology/approachA total of 280 publications in the Web of Science database were analyzed through a bibliometric approach consisting of citation analysis, co-citation analysis and co-occurrence of keywords analysis. This review explores the current state of SDGs, its central themes of research streams and predicts future direction in the context of HEIs.FindingsThe findings would assist stakeholders to strategize the SDGs on HEIs, including the government and policymakers, university top management, benefactors and academics. Three main research streams were observed sustainable curriculum; challenges and barriers of SDGs; and COVID-19 and health management.Research limitations/implicationsImplications suggest that to achieve the stipulated goals in the SDGs, proper planning and strategy should be aligned proportionate to the national agenda.Originality/valueThis paper presents a novel knowledge structure by mapping the most relevant SDGs in the context of HEIs based on bibliometric analysis.

Mapping knowledge structure and themes trends in unilateral biportal endoscopic spine surgery: A bibliometric analysis.

BackgroundThe numerous benefits of unilateral biportal endoscopic (UBE) spine surgery have attracted the attention of many researchers, and a considerable number of relevant clinical studies have been published. However, global research trends in the field of UBE have received little attention. The purpose of this study was to apply bibliometric method to analyze the UBE-related publications to obtain an overview of the research trends in the field of UBE, as well as research hotspots and trends.MethodsWeb of Science database was searched for articles published until January 31, 2022. CiteSpace was used to analyze the data, which provided graphical knowledge maps. The following factors were applied to all literature: number of publications, distribution, h-index, institutions, journals, authors, and keywords.ResultsSeventy-three articles were identified. Since 2019, there has been a significant increase in the number of UBE-related publications. The country with the largest number of articles was South Korea (72.6%), followed by China (9.6%), Japan (4.1%), and Egypt (4.1%). South Korea had the highest h-index (16), followed by China (2), Japan (1), and Egypt (1). Leon Wiltse Memorial Hospital was the organization that produced the most papers (12 publications). Heo DH was the most productive author (16 papers) and was the most cited author (35 times). World Neurosurgery published the most papers on UBE (23.3%). The main research hotspots were spinal diseases, decompression, complications, learning curve, and interbody fusion. In addition, the recent concerns were “learning curve,” “interbody fusion,” “management,” and “dural tear.”ConclusionsThe quantity of publications on UBE research will increase, and South Korea being the major contributor and most prominent country in this field. The findings of our study will provide researchers with practical information on the field of UBE, and identification of mainstream research directions and recent hotspots.

Entrepreneurial intentions of university students in the Kingdom of Saudi Arabia

PurposeThe purpose of this paper is to examine the role of theory of planned behaviour (TPB) motivational factors, social valuation of entrepreneurship and entrepreneurial risk perception in predicting entrepreneurial intentions (EIs) of university students in the Kingdom of Saudi Arabia.Design/methodology/approachA quantitative approach was adopted, and a sample of 802 students from a large public university in Saudi Arabia is studied. Structural equation modelling is used to test the relationships among the conceptual model constructs.FindingsThis study found a negative and significant impact of entrepreneurial risk perception on student’s entrepreneurial attitude, perceived behavioural control (PBC) and intention. Social valuation of entrepreneurship was found to have a positive and significant impact on entrepreneurial attitude, PBC and subjective norms. This study provides partial support for the TPB. While the impact of entrepreneurial attitudes and PBC is significant, subjective norms has insignificant impact on EIs.Research limitations/implicationsSeveral recommendations are proposed from the results of this study for policymakers, universities and other educational institutes to encourage student’s entrepreneurship motivation and intention and reducing the negative effect of risk perceptions. Implications for future research are also presented.Originality/valueThis study integrated three main streams of research which are psychology of risk (entrepreneurial risk perception), the TPB and social context (social valuation of entrepreneurship) to examine the formation of students entrepreneurial motivations and intentions.

Snowflake-like CdS@ZnIn2S4 heterojunction-based photocatalyst-electrolyte effect: An innovative mode for photoelectrochemical immunoassay

Exploiting innovative strategies with signal amplification in photoelectrochemical (PEC) biosensing systems to realize sensitive screening of low-abundance proteins has become one of the mainstream research orientations. Herein we reported a new strategy to amplify photocurrent signal employing a photocatalyst-electrolyte effect in alkaline media for the sensitive monitoring of prostate-specific antigen (PSA) using snowflake-liked CdS@ZnIn2S4 heterojunction as photosensitizer. In this strategy, both the band-edge position and surface redox reaction process were subtly altered by modulating the alkalinity of electrolyte. The hydroxyl anions (OH−) from NaOH could be oxidized to hydroxyl radicals (·OH) by the holes in CdS@ZnIn2S4, thus accelerating the scavenging of holes and promoting the photocurrent. Based on the above-mentioned mechanism, a sensitive split-type glucose oxidase-mediated PEC immunosensor for PSA detection was fabricated. Upon target PSA introduction, the glucose acid was generated through the sandwich-type immunoreaction to affect the alkalinity of PEC detection environment, thereby suppressing the photocurrent intensity. The CdS@ZnIn2S4-based PEC immunosensor exhibited satisfactory photocurrent responses with a good linear range of 0.04–40 ng mL−1 at a limit of detection of 14 pg mL−1. Significantly, this research not only introduces an effective strategy to detect PSA with good sensitivity and specificity, but also provides a new insight to amplify the signal by regulating the electrolyte.

Matters of the Autistic Mind: What Is the Role of Material Objects in Social Interaction?

Matters of the Autistic Mind: What Is the Role of Material Objects in Social Interaction? Derek Strijbos*, MD, PhD (bio) Is autism a condition internal to the person that causes problems in social interaction? Or should we conceive of autism primarily at the level of interaction, as a “two-way” phenomenon (Krueger & Maiese, 2018) that develops in the relation between the person with autism and her social-material environment? Over the last decade or so, this issue has increasingly gained interest, not only in academia, but also in the field of mental health care and in the wider public domain. Much is at stake here. Framing autism as an internal deficit or rather as an interaction phenomenon has far-reaching implications for scientific research and clinical practice. It steers the focus of autism research by determining the kind of research questions we deem scientifically and clinically relevant. In mental health care, it influences the way in which we conceive of the problems people with autism struggle with and seek help for. Are the social difficulties that people with autism experience to be framed in terms of their lack of “theory of mind” (e.g., Baron Cohen, 2000)? Or should we rather start our clinical inquiry with the acknowledgment of a “double empathy problem” (Milton, 2012) that shapes the social interaction between the autistic individual and non-autistic people, health care professionals included? More generally, are the problems experienced by people with autism to be explained with reference to internal mental dysfunction? Or should rather we take as our primary diagnostic unit of analysis the structural mismatch in needs, interests, experienced salience and perceived possibilities between the person with autism and the wider social world? These background assumptions regarding the nature of autism shape diagnostic case formulations, guide treatment interventions and determine the tone of the therapeutic relationship. Beyond scientific and clinical interests, the issue also has wider societal implications. Framing autism as a difference rather than a disorder, voices in the recovery and (neuro) diversity movement have suggested that the problems experienced by people with autism are first and foremost social—or rather societal—problems originating from a failure of society to make room for autistic forms of life (cf. Silberman, 2015). [End Page 213] I think it is important to keep these wider issues in mind when reading Boldsen’s paper. First, as Boldsen herself makes clear, her inquiry into the role of material objects in the immediate environment in shaping social interaction for people with autism is motivated by phenomenological, enactivist and externalist conceptions of mind and cognitive science. These philosophical views argue against the internalist understanding of mind and mental (dys)functioning still prevalent in mainstream autism research and treatment programs. These philosophical views explicitly endorse a relational view of mind, thereby making room for a relational view of autism (e.g., De Haan, 2020; De Jaegher, 2013; Fuchs, 2018; Gallagher & Varga, 2015). Second, Boldsen’s study is one of few empirical attempts to take seriously the idea that the material environment plays an important role in shaping social interaction for people with autism. Straddling the divide between the “social” and “non-social” characteristics of autism, this idea has significant potential for both research and clinical practice. Scientifically, it opens up a whole new range of empirical questions as to how (shared) engagement with material objects enables people with autism to regulate their sensory, affective and cognitive attunement within the social world. Clinically, it motivates both health-care professionals and service users to take even more seriously the possibility that the shaping of the physical environment and the handling of material objects in social situations might play an important role in facilitating attunement and synchronization and reducing social stress and overstimulation. And as Boldsen highlights at the end of her paper, these considerations also point toward broader societal questions regarding the shaping of material niches that afford autistic ways of social life. Interpreting the qualitative data of her field-work study, Boldsen suggests two ways in which material things can sustain and facilitate social interaction for people with autism: first, material things solicit sensory engagement for the persons with autism in virtue of their sensible qualities...

An analysis and prediction model based on complex network time series

AbstractAt present, mainstream research on complex network evolution involves measuring the developing characteristics of network structure at the macro level. Few studies have focused on the internal mechanism of network structure change and the prediction of network structure evolution at the micro‐level. However, for some special complex network time series, the traditional analysis and research methods at the macro level are invalid, and the micro‐level analysis method needs to be adopted. Based on the evolution characteristics of nodes and edges in complex networks, this paper constructs a time series network analysis and prediction algorithm to explore the structural evolution trends of complex network time series and make a prediction. Based on the enterprise supply–demand relationship data, this paper constructs the enterprise supply–demand network time series. Then, we use the method proposed in this paper to analyse and predict the complex network time series and verify the rationality and feasibility of the proposed method.

Relationship coordination between successor and top management team in family business under the background of social embeddedness: a case study of trans-generational entrepreneurship

PurposeAiming at the key issue of interpersonal interaction process between successors and top management teams in the context of family business trans-generational entrepreneurship, this paper aims to explore the motivation, action and results of interpersonal conflict between these two subjects mentioned above.Design/methodology/approachThis paper uses grounded theoretical research methods based on the research objects of three family businesses with both inheritance and transformation needs.FindingsMotivation difference, mediation mode and relationship utilization, that is, the successor and top management team take the goal-orientation, interest orientation and rational tendency as the starting point for relationship coordination. Then it mediates the interpersonal conflicts through compromise, collaboration and compliance, and ultimately provide successors with resources, opportunities, capabilities and motivation advantages to promote trans-generational entrepreneurship. Second, the path of relationship coordination comes from the background of social embedding, that is, the motivation difference comes from the embedding of motivation seeking, the mediation mode comes from the embedding of mediation elements and the relationship utilization comes from the embedding of relationship optimization. The research conclusions not only provide a theoretical framework for family businesses to solve the problems of interpersonal conflicts faced by family businesses but also have practical guiding significance for the trans-generational entrepreneurship.Originality/valueThere are two theoretical contributions in this study. First, the research starting point of social embeddedness theory from the perspective of interpersonal relationships at the microlevel is revised. Since Granovetter (Granovetter, 1985) put forward the theory of social embeddedness, its research scope has been gradually expanded, but the mainstream research in the past focused on analyzing the social network embeddedness of enterprises to obtain social capital from the macro- and meso-level (Nahapiet and Ghoshal, 1998). In fact, this may deviate from the essential interpretation of Granovetter’s theory of social embeddedness, while this study returns to the study of interpersonal relationships. Second, a theoretical model of relationship coordination for successors and top management team is put forward in general. On the basis of the motivation, action and result of interpersonal interaction between the successor and top management team, the interpersonal coordination action path and embedded logic during trans-generational entrepreneurship of family businesses are revealed, which enriched the research scope of social embedded theory in family business.

Distributed cognition for collaboration between human drivers and self-driving cars.

This paper focuses on the collaboration between human drivers and intelligent vehicles. We propose a collaboration mechanism grounded on the concept of distributed cognition. With distributed cognition, intelligence does not lie just in the single entity but also in the interaction with the other cognitive components in a system. We apply this idea to vehicle intelligence, proposing a system distributed into two cognitive entities—the human and the autonomous agent—that together contribute to drive the vehicle. This account of vehicle intelligence differs from the mainstream research effort on highly autonomous cars. The proposed mechanism follows one of the paradigm derived from distributed cognition, the rider-horse metaphor: just like the rider communicates their intention to the horse through the reins, the human influences the agent using the pedals and the steering wheel. We use a driving simulator to demonstrate the collaboration in action, showing how the human can communicate and interact with the agent in various ways with safe outcomes.

Uncovering the Effect of European Policy-Making Initiatives in Addressing Nutrition-Related Issues: A Systematic Literature Review and Bibliometric Analysis on Front-of-Pack Labels.

The last decades have been marked by the introduction of front-of-pack labels (FoPL) as an institutional corrective action against obesity and nutrition-related illnesses. However, FoPL-related policy-making initiatives issued by the European Union evolved over time and led to a diversity of labels with different effects on consumers’ decisions. As a result, the extant literature adapted to the regulative scenario over the years and investigated the effects of the labels, creating consensus on some topics while being fragmented on others. Similarly, policy-makers adapted some regulations to the evidence supported by the research. With the aim to systematize the overall structure and evolution of the literature on FoPL, investigate the presence of a consensus on specific topics through a co-citation analysis, and examine the evolution of the consensus and co-citation networks over the years and potential research gaps, we report the results of bibliometric and co-citation analyses and a systematic literature review involving 170 papers and a selection of 49 articles published in the last months, for a total of 219 articles, analysed according to three timespans (Period 1 (1989–2011); Period 2 (2012–2016) and Period 3 (2017–2022)). Our findings highlight the interplay of policy development and FoPL research, the presence of few self-reinforcing and well-established co-citation networks based on validated evidence in the literature and the presence of alternative emerging theories that offer different and valid perspectives overlooked by mainstream co-citation research networks.

The role of network relations and previous knowledge in the ACAP of low-tech intensity clusters

PurposeThe mainstream research on knowledge transfer and absorptive capacity (ACAP) in clusters was conducted in high-technology industries in developing countries. However, low technology intensity clusters present a different scenario that might affect this external knowledge transfer and ACAP. This study aims to understand the role of network relations and previous knowledge in the ACAP of a low-technology intensity cluster.Design/methodology/approachThe authors analyzed companies from a low-technology industry in an emerging country. The authors collected 109 questionnaires from companies in the Brazilian footwear manufacturing cluster. Factor analysis led the independent variables to be regrouped into eight variables. This data set was analyzed using regression techniques.FindingsIn a low-tech cluster prevalently populated by small companies, companies have access to novelties and knowledge that influence their products and production through the frequency and stability of the network’s relational ties with the supplier. The quality of relationships with clients may provide access to products, materials, technologies and learning. Small companies consider intra-cluster competition because of limitations in accessing external competition. Although low-tech companies need to exchange knowledge and technology with suppliers and clients outside the cluster, most companies are limited in size because of liabilities. In a low-tech cluster dominated by small companies, access to better purchasing costs, new technologies or innovations is an expected weakness. Intra- and extra-cluster ties positively influenced ACAP, as did organizational capabilities, whereas employees’ skills did not.Originality/valueIndividual skills are not related to ACAP in low-technology intensity clusters. The level of ACAP in small and medium enterprises (SMEs) can be explained by the scope of individuals’ knowledge and other individual capabilities.

Native American and Māori Youth: How Culture and Community Provide the Foundation of Resilience in the Face of Systemic Adversity

Multiple disciplines in the academy have begun to understand the value in Indigenous worldviews. To date, resilience literature and constructs of resilience have been largely dominated by Western, individual worldviews. Such notions of resilience have focused on personal qualities of “resilient youth” and are misaligned with an Indigenous worldview where relational factors, such as those within culture and community, provide the foundation of resilience. While there has been some shift in understanding in mainstream resilience literature to acknowledging wider social factors, this paper offers an additional critical appraisal of resilience constructs from an Indigenous perspective. We also discuss the impacts of the current constructs of resilience for Indigenous peoples and communities, namely the dismissal of Indigenous experiences, leading to two questions: who benefits from such definitions? And, should some acts of “resilience” be better viewed as active resistance? American Indian, Alaska Native, and Māori case examples are provided to illustrate such points, while also demonstrating how culture and community provide the foundation of resilience in the face of systemic adversity. We conclude that Indigenous understandings of resilience have much to teach mainstream research, and consequently, provide principles as potential guidance for both future work in Indigenous settings and to mainstream resilience science.

The future of university from different viewpoints: a commentary to Szulevicz et al. (2021).

This commentary is connecting the dots between the publication of Szulevicz et al., (2021) about the discrepancy of students' master theses and mainstream research and the upcoming book about the future of universities edited by Geberth & Woller (2023). University is changing fast, which can be prominently seen by comparing published research and the work of students. Danish students are seen as fulfilling Humboldt's ideal choosing niche topics for their theses. Meanwhile Austrian students demand more practical skills from their studies and German lecturers ask themselves, how much practice orientation might be too much. Neoliberalism seems to be at the bottom of the drastic changes which universities are going through. The authors criticize the influence of external funding on research in general.

Entrepreneurs’ Information-Seeking Behaviors in the Digital Age–A Systematic Literature Review

ABSTRACT This paper explores how digitalization and development of critical literacies influence changes in entrepreneurs’ information-seeking behavior, and how such changes in behavior directly influence the resource acquisition, bundling, and leveraging process, contributing to the development of personal and business competencies and growth. Building on the logic of resource-orchestration theory, this paper presents a systematic literature review covering 39 studies published between 1990 and 2020 that summarizes the current state and trends at the intersection of digitalization, the entrepreneurs’ critical literacies, and information-seeking behavior. The review results reveal three main streams of research including (i) digitalization and entrepreneurs’ ICT adoption, (ii) entrepreneurs and critical literacies, and (iii) entrepreneurs’ information-seeking behavior. Based on the review results that reflect a fragmented status quo of entrepreneurship research, we develop a holistic framework and outline future research directions for entrepreneurship. This research expands the traditional boundaries of entrepreneurship research by considering the implications of entrepreneurs’ critical literacies and their information behavior on resource orchestration process. The findings provide practical implications indicating the need to address the key challenges of entrepreneurs in a fast-changing and interconnected business environment.