bluuebunny/crossref_metadata_2025 huggingface dataset:
Decoding the data economy: a literature review of its impact on business, society and digital transformation
Authors: Sestino Andrea , Kahlawi Adham , De Mauro Andrea
Published: August 2023

Purpose

The data economy, emerging from the current hyper-technological landscape, is a global digital ecosystem where data is gathered, organized and exchanged to create economic value. This paper aims to shed light on the interplay of the different topics involved in the data economy, as found in the literature. The study research provides a comprehensive understanding of the opportunities, challenges and implications of the data economy for businesses, governments, individuals and society at large, while investigating its impact on business value creation, knowledge and digital business transformation.

Design/methodology/approach

The authors conducted a literature review that generated a conceptual map of the data economy by analyzing a corpus of research papers through a combination of machine learning algorithms, text mining techniques and a qualitative research approach.

Findings

The study findings revealed eight topics that collectively represent the essential features of data economy in the current literature, namely (1) Data Security, (2) Technology Enablers, (3) Business Implications, (4) Social Implications, (5) Political Framework, (6) Legal Enablers, (7) Privacy Concerns and (8) Data Marketplace. The study resulting model may help researchers and practitioners to develop the concept of data economy in a structured way and provide a subset of specific areas that require further research exploration.

Practical implications

Practically, this paper offers managers and marketers valuable insights to comprehend how to manage the opportunities deriving from a constantly changing competitive arena whose value is today also generated by the data economy.

Social implications

Socially, the authors also reveal insights explaining how the data economy features may be exploited to build a better society.

Originality/value

This is the first paper exploring the data economy opportunity for business value creation from a critical perspective.
Does marketing orientation impact the innovation activity of R&D departments influenced by user-driven innovation? The correspondence analysis
Authors: Szopik-Depczyńska Katarzyna , Dembińska Izabela , Barczak Agnieszka , Szczepaniak Krzysztof , Secka Jim , Ioppolo Giuseppe
Published: August 2023

Purpose

There are many studies explaining the innovation activity determinants. Nowadays, the digitalization of sales, the influence of social media, user-driven innovation (UDI) activity might be considered as one of the crucial sources for the development of new products within the research and development activity. Undertaken research is therefore aimed at determining whether the marketing orientation, i.e. the purchasing behavior of customers, affects the innovation activity of R&D departments that work under the usage of UDI concept.

Design/methodology/approach

57 R&D departments operating in Poland participated in the study. Correspondence analysis based on the Burt matrix and Cramer's V correlation coefficients was used for the analysis.

Findings

The analysis shows that R&D departments in Poland using marketing research and examining consumer purchasing behavior, positively assess the effects of using the UDI concept in R&D departments. They implement it to create or improve products or services offered on the market, especially in the field of customization, while using information from national research and development units in Poland. The motivation for these activities is mainly to increase the assortment level.

Research limitations/implications

The conducted study covers only R&D departments in Poland, thus it is worth extending the generalization of the results. In terms of future research directions, it's worth to analyze the data from R&D departments in other countries. The results of such studies could be used for comparative analyses. The main limitation of the research is that the research sample was 57 R&D departments of enterprises operating in Poland. Therefore, the research results can't be generalized to all the R&D departments in Poland.

Practical implications

The findings could help researchers and practitioners improve their understanding of the determinants of innovation activity, especially its relationship to marketing orientation and UDI practices.

Originality/value

The research regarding marketing orientation of enterprises and its influence on innovation activity is extremely important due to the general change of the conditions for the functioning of enterprises and building their competitive advantage. Knowledge in this area is still insufficient and research gaps are still being exposed. The article presents the correlation between the marketing orientation and customer behavior within the UDI activity and effects of innovation activity of R&D departments being under investigation.
Is sustained participation a myth in crowdsourcing? A review
Authors: Humayun Hasan , Ghazali Masitah , Malik Mohammad Noman
Published: August 2023

Purpose

The motivation to participate in crowdsourcing (CS) platforms is an emerging challenge. Although researchers and practitioners have focused on crowd motivation in the past, the results obtained through such practices have not been satisfactory. Researchers have left unexplored research areas related to CS pillars, such as the evolution of the crowd’s primary motivations, seekers applying effective policies and incentives, platform design challenges and addressing task complexity using the synchronicity of the crowd. Researchers are now more inclined to address these issues by focusing on sustaining the crowd’s motivation; however, sustaining the crowd’s motivation has many challenges.

Design/methodology/approach

To fill this gap, this study conducted a systematic literature review (SLR) to investigate and map the challenges and factors affecting sustained motivation during CS with the overcoming implications. Studies that satisfied the inclusion criteria were published between 2010 and 2021.

Findings

Important sustainable factors are extracted using the grounded theory that has sustained participation and the factors' cohesion leads to the identification of challenges that the pillars of CS face. Crowds being the most vital part of CS contests face the challenge of engagement. The results reported the factors that affect the crowd’s primary and post-intentions, perceived value of incentives and social and communal interaction. Seekers face the challenge of knowledge and understanding; the results identify the reason behind the crowd’s demotivation and the impact of theories and factors on the crowd's psychological needs which helped in sustaining participation. Similarly, the platforms face the challenge of being successful and demanding, the results identify the latest technologies, designs and features that seekers proclaim and need the platforms designer's attention. The identified task challenges are completion and achievement; the authors have identified the impact of trait of task and solving mechanisms that have sustained participation.

Originality/value

The study identifies, explores and summarizes the challenges on CS pillars researchers are facing now to sustain contributions by keeping participants motivated during online campaigns. Similarly, the study highlights the implication to overcome the challenges by identifying and prioritizing the areas concerning sustainability through the adoption of innovative methods or policies that can guarantee sustained participation.
Open innovation strategy: a systematic literature review
Authors: Sá Tiago , Ferreira João J.M. , Jayantilal Shital
Published: July 2023

Purpose

In a context each day more global, a new paradigm has emerged – open innovation (OI) – which may be understood as an innovation strategy in which organizations use internal and external knowledge to leverage their business value, thus maintaining a sustainable competitive advantage. This article aims to contribute to understanding this phenomenon, suggesting an integrated vision of OI strategies.

Design/methodology/approach

This paper systematically reviews and analyzes a sample of 66 articles from Scopus and Web of Science databases related to open innovation strategies.

Findings

The results obtained enabled us to group the existing literature into six different clusters: (1) Performance; (2) Open business model; (3) Intellectual Property; (4) Knowledge Management; (5) Innovation; and (6) Culture. Furthermore, this study identifies the major research gaps and provides suggestions for future research.

Originality/value

The paper presents the main elements that interfere and interact in the innovation strategy providing a conceptual model that can be useful in understanding the phenomenon of open innovation.
Investigating stakeholder perceptions of graduate employability
Authors: Gupta Pragya , Mahajan Renuka
Published: August 2023

Purpose

The study aims to ratify skills necessary to bridge the gap between the existing models and emerging needs of a technology-enabled workspace; especially in the Indian context.

Design/methodology/approach

This paper extends the ongoing debate on a relevant employability framework suitable both for higher education institutes and corporates. To remain resilient to future catastrophes similar to the ongoing pandemic, the relevancy of established employability skills to suit the changing scenario needs to be established.

Findings

The partial least squares (PLS) technique has been used to present a framework confirming the importance of digital competencies, business fundamentals and behavioral skills. In-depth discussions with specialists ratified the proposed framework and recommended potential changes in curriculum and pedagogy.

Research limitations/implications

This study validates an explicit and comprehensive employability skill framework and useful recommendations in teaching strategies, which may provide a broad skill base for graduates to prepare for the volatile business environment in the long run.

Practical implications

The study has been able to put forth significant employability skills as deemed significant by the three stakeholders. This will provide guidance to higher educational institutions (HEIs) to come up with a broad skill-base for the fresh graduates and prepare them for the volatile business environment and encourage life-long learning to remain productive in the long run.

Originality/value

The study is unique as it incorporates the perceived importance of the competencies assumed by each stakeholder, namely, employers, faculty and management graduates, which was unfortunately lacking in earlier researches.
Restaurant recommendation model using textual information to estimate consumer preference: evidence from an online restaurant platform
Authors: Li Qinglong , Jang Dongsoo , Kim Dongeon , Kim Jaekyeong
Published: August 2023

Purpose

Textual information about restaurants, such as online reviews and food categories, is essential for consumer purchase decisions. However, previous restaurant recommendation studies have failed to use textual information containing essential information for predicting consumer preferences effectively. This study aims to propose a novel restaurant recommendation model to effectively estimate the assessment behaviors of consumers for multiple restaurant attributes.

Design/methodology/approach

The authors collected 1,206,587 reviews from 25,369 consumers of 46,613 restaurants from Yelp.com. Using these data, the authors generated a consumer preference vector by combining consumer identity and online consumer reviews. Thereafter, the authors combined the restaurant identity and food categories to generate a restaurant information vector. Finally, the nonlinear interaction between the consumer preference and restaurant information vectors was learned by considering the restaurant attribute vector.

Findings

This study found that the proposed recommendation model exhibited excellent performance compared with state-of-the-art models, suggesting that combining various textual information on consumers and restaurants is a fundamental factor in determining consumer preference predictions.

Originality/value

To the best of the authors’ knowledge, this is the first study to develop a personalized restaurant recommendation model using textual information from real-world online restaurant platforms. This study also presents deep learning mechanisms that outperform the recommendation performance of state-of-the-art models. The results of this study can reduce the cost of exploring consumers and support effective purchasing decisions.
The applicability of advanced technologies from the traditional industry to mitigate ergonomic problems in maintenance activities in the mining industry
Authors: Santos Aparicio Afonso , Reis Luciana Paula , Fernandes June Marques
Published: July 2023

Purpose

Many advanced technologies applied to maintenance are aimed at data analysis and not directly at the execution of activities. Considering the lack of studies that analyze the use of technologies with a focus on aiding maintenance activities, this study aims to investigate the applicability of advanced technologies capable of mitigating ergonomic risks in mining maintenance activities.

Design/methodology/approach

A mixed-method study approach was performed in the most important Brazilian mining company, where three groups of equipment were observed: pumps, crushers and sieves. Qualitative and quantitative data were collected, including structured interviews with 60 maintenance professionals for the equipment, and a workshop was held to evaluate the applicability of these technologies in the maintenance activity of this equipment.

Findings

It was verified that the load handler, weight cancelers and automatically guided vehicle technologies were assessed as capable of mitigating ergonomic problems of the supporting the weight of parts and tools and the human traction during maintenance activities.

Research limitations/implications

The study observed only one company, and the five technologies analyzed here are not yet a reality in this sector.

Practical implications

This research directs maintenance managers in the implementation of process improvements, in the incorporation of technologies capable of mitigating the ergonomic problems experienced by the maintenance professionals. In this way, it is expected to reduce the number of absences from work and improve the working conditions of these professionals.

Social implications

Mining activities impact the local economy and are important in the development of technologies that improve productivity and the man–work relationship. The demands of industries for new solutions encourage local technological development through an approximation with university research and development centers. At the same time, it is observed that these centers can help in the formation of competences to act, either in the implementation of these technologies or in their handling. This university–company integration, in addition to benefiting the mining segment, has the potential to expand the solution to different supply chains, which proves to be a relevant social impact.

Originality/value

This study is pioneering in understanding the use of advanced technologies in maintenance activities in the context of the mining industry (extractive primary sector).
Multirooming: generating e-satisfaction throughout omnichannel consumer journey design and online customer experience
Authors: Moliner Miguel Angel , Tortosa-Edo Vicent
Published: August 2023

Purpose

The objective of this research is to analyze how omnichannel consumer journey design (OCJD) influences the online customer experience (OCE) and e-satisfaction in consumers' multirooming behavior (searching for information in online and offline channels and purchasing the product online).

Design/methodology/approach

The problem-solving theory and experiential marketing perspective are the theoretical background that enables the establishment of five hypotheses. A survey is conducted on multiroomers who had purchased a product online, following an online and offline research journey.

Findings

The results showed that OCJD directly and indirectly (through online consumer experience) influences e-satisfaction. Females and younger individuals exhibited higher levels of e-satisfaction.

Originality/value

First, this research analyzes consumers' multichannel search strategies. Second, the consumer journey is incorporated into the study of multichannel retailing. Third, an emergent typology of cross-channel free-riding behavior is analyzed: multirooming.
Antecedents and consequences of effective customer participation: the role of customer education and service modularity
Authors: Shah Syed Aamir Ali , Jajja Muhammad Shakeel Sadiq , Chatha Kamran Ali
Published: July 2023

Purpose

Using multiple theoretical lenses, the paper develops and empirically tests a service design-based framework of effective customer participation (CP) in service delivery. Particularly, the paper examines the impact of customer education on effective CP, besides the latter's effect on service quality. The direct and moderating effect of service modularity on the association between customer education and effective CP is also studied.

Design/methodology/approach

Covariance-based structural equation modeling is used to test the hypotheses using the survey data collected from the healthcare industry within Pakistan.

Findings

The results lend support for the presence of individual and mutually reinforcing effects of customer education and service modularity on effective CP in service delivery, ultimately affecting service quality.

Research limitations/implications

Building on the CP and customer learning literature, this research extends the work on antecedents and consequences of effective CP in the larger domain of the service design and service delivery literature.

Practical implications

The findings reveal that service managers should design services such that by design, CP is ingrained within service delivery processes so that it is effectively managed during service delivery for superior service quality.

Originality/value

Given the already scant research that has either taken a narrower view of CP (mostly in pre- or post-service delivery), the current research makes one of the initial attempts to identify, theorize and empirically test the service design level antecedents for holistic CP spanning over the physical, behavioral and informational participation during the service delivery.
The influence of sustainable supply chain management practices on financial sustainability of food processing SMEs
Authors: Mwenda Beny , Israel Baraka , Mahuwi Leticia
Published: July 2023

Purpose

The importance of sustainable supply chain management practices (SSCMPs) in the financial performance of firms is increasing significantly. However, the influence of SSCMPs on financial performance can vary across sectors and contexts. This research aims to provide a comprehensive understanding of the influence of SSCMPs on the financial sustainability of small and medium-sized enterprises (SMEs) in the food processing industry. For this, the influence of sustainable environment practices, customer and supplier relationships, social SCMPs and lean supply chain on the financial sustainability of food processing SMEs is studied.

Design/methodology/approach

A questionnaire survey was conducted to collect data from 56 food processing SMEs in Mbeya, Tanzania. The study employed a cross-sectional research design and a census approach to capture data from all eligible SMEs in the target population. Exploratory factor analysis (EFA) and multiple linear regression (MLR) were utilized as the primary data analysis techniques.

Findings

The findings of the study revealed a positive and significant influence of various SSCMPs on the financial sustainability of food processing SMEs. Specifically, sustainable environment management practices (β = 0.147,p = 0.000), supplier relationship management (SRM) (β = 0.715,p = 0.001), customer relationship management (CRM) (β = 0.894,p = 0.016), social SCMP (β = 0.901,p = 0.005) and lean supply chain practices (β = 0.675,p = 0.003) were all found to have a significant effect on the financial sustainability of the surveyed food processing SMEs.

Practical implications

The study recommends the need to plan and integrate SSCMPs in firms’ operation processes, promote collaboration and networking and offer capacity-building initiatives that equip food processing SMEs with the necessary skills and knowledge to implement SSCMPs effectively. These will nurture effective adoption of SSCMP, leading to improved operations, environmental performance, financial sustainability and long-term viability of the sector.

Originality/value

While SSCMPs have gained attention in the literature, the specific focus on its impact on financial sustainability in the context of food processing SMEs adds originality to this research. Industry stakeholders and policymakers can utilize the findings of this study to develop supportive policies and programs that promote sustainable supply chain practices and enhance financial sustainability in the food processing sector.
Environmental strategy, green supply chain integration and sustainable performance: examining the synergistic effects
Authors: Liu Yang , Fang Wei , Feng Taiwen , Xi Mengjie
Published: July 2023

Purpose

Manufacturers are facing growing institutional pressures to enhance the manufacturers' sustainability. Establishing appropriate environmental strategy and implementing green supply chain integration (GSCI) are imperative initiatives for them. Nevertheless, prior research has predominantly examined the individual net impacts on sustainable performance. Drawing on the strategy-structure-environment (SSE) framework and configurational perspective, this study investigates the synergistic effects and multiple equivalent combinations of environmental strategy and GSCI under diverse institutional forces.

Design/methodology/approach

To empirically validate this relationship, the present study utilizes fuzzy-set qualitative comparative analysis (fsQCA) to analyze two-wave survey data collected from 317 manufacturers in China.

Findings

The findings indicate that individual dimension of environmental strategy and GSCI is not independently necessary. However, when combined, this results in seven equifinal configurations that lead to high sustainable performance. Combining all dimensions of environmental strategy and GSCI leads to the simultaneous achievement of high environmental, economic and social performance under perceived social pressure.

Practical implications

This study offers firms the flexibility to select from a range of pathways, allowing the firms to strategically filter and develop diverse combinations of environmental strategy and GSCI. These choices empower firms to enhance the firms' sustainable performance while navigating various institutional forces.

Originality/value

This study contributes to the existing literature by utilizing the SSE framework to investigate the configurational paths that influence sustainable performance. Additionally, this work introduces the fsQCA method to enhance the understanding of sustainable performance in the literature.
Enhancing purchasing stock intention in investor–brands interaction: the moderated mediation role of sector knowledge
Authors: Ismail Eman , Elsharnouby Mohamed H. , Abd Elaal Mahmoud H.
Published: July 2023

Purpose

This study seeks to investigate the interrelationships among sector reputation, purchasing stock intention, sector engagement and attitude toward the sector. Moreover, it aims to explore the moderating role of sector knowledge in the indirect relationship between sector reputation and purchasing stock intention, mediated by sector engagement and/or attitude toward the sector.

Design/methodology/approach

Drawing upon the theory of planned behavior, the research framework is empirically tested. A survey involving 300 potential and actual investors was conducted, representing individuals investing in tourism brands within the Egyptian stock market. The validity and reliability of the constructs were assessed using AMOS, while Hayes’s PROCESS macro was employed to examine the mediation and moderated mediation effects.

Findings

The findings reveal that sector reputation significantly influences sector engagement, attitude toward the sector and purchasing stock intention. Furthermore, the attitude toward the sector serves as an explanatory factor for investors’ propensity to purchase stocks of tourism brands. The study confirms the serial mediation effect of sector engagement and attitude toward the sector, respectively, in the relationship between sector reputation and purchasing stock intention. Additionally, it confirms the moderated mediation role of sector knowledge in the relationship between sector reputation and purchasing stock intention, mediated by attitude toward the sector.

Practical implications

The research outcomes suggest that executives in the tourism industry should identify key determinants to enhance purchasing stock intention by fostering greater sector engagement and fostering positive attitudes toward the tourism sector.

Originality/value

This study contributes to the existing literature by shedding light on the importance of maintaining a positive brand reputation and emphasizing the influential role of investors’ knowledge, engagement and attitude in shaping investment decisions in the stock market. These insights contribute to the understanding of investor behavior and have practical implications for organizations in managing their brand reputation and fostering positive customer–brand interactions in the stock market context, thus the current study was conducted.
The entrepreneurial cognitive adjustment mechanism: transitional entrepreneurship as a solution to mitigate illegal migration
Authors: Arteaga-Fonseca Jorge , Zhang Yi (Elaine) , Bylund Per
Published: August 2023

Purpose

In this paper, the authors suggest that Central Americans can use entrepreneurship to solve economic uncertainty in their home country and that entrepreneurship can contribute to reducing the number of undocumented migrants to the USA.

Design/methodology/approach

The authors first illustrate the context of Central American illegal migration to the USA from a transitional entrepreneurship perspective, the authors address the economic drivers of illegal migration from Central America, which results in marginalization in the USA. Second, the authors build a theoretical model that suggests that Central Americans can improve their entrepreneurial abilities through the entrepreneurial cognitive adjustment mechanism.

Findings

Central Americans at risk of illegally migrating to the USA have high entrepreneurial aptitudes. Entrepreneurship can help them avoid the economic uncertainty that drives Central Americans to illegally migrate to the USA and become part of a marginalized community of undocumented immigrants. This conceptual paper introduces an entrepreneurial cognitive adjustment mechanism as a tool for Central Americans to reshape their personalities and increase their entrepreneurial abilities in their home countries. In particular, entrepreneurial intentions reshape the personality characteristics of individuals (in terms of high agreeableness and openness to experiences, as well as low neuroticism) through the entrepreneurial cognitive adjustment mechanism, which consists of reflective action in sensemaking, cognitive frameworks in pattern recognition and coping in positive affect.

Originality/value

This paper studies Central Americans at risk of illegal migration using the lens of transitional entrepreneurship, which advances the understanding of the antecedents to marginalized immigrant communities in the USA and suggests a possible solution for this phenomenon. Besides, the authors build a cognitive mechanism to facilitate the transitional process starting from entrepreneurial intention to reshaping individuals' personality, which further opens individuals' minds to entrepreneurial opportunities. Since entrepreneurial intention applies the same way to all entrepreneurs, the authors' aim of constructing the entrepreneurial intention unfolding process will go beyond transitional entrepreneurship and contribute to intention-action knowledge generation (Donaldson et al., 2021). Moreover, the conceptual study contributes to public policy such that international and local agencies can better utilize resources and implement long-term solutions to the drivers of illegal migration from Central America to the USA.
Examining the link between social artifacts, solvability factors and case outcomes
Authors: Rodriguez Libnah Yvette , Drake Gregory , Altheimer Irshad , Klofas John
Published: August 2023

Purpose

The purpose of this paper is to contribute to the growing body of research literature on case clearance levels. Through a social artifact framework, the authors seek to understand the role that documentation of key solvability factors in investigative reports plays in shaping case clearance outcomes.

Design/methodology/approach

For this study, 166 non-fatal shooting investigative case files were obtained from a local mid-sized urban police department and coded to assess whether investigators identified key solvability characteristics for non-fatal shooting incidents. Using a logistic regression, the authors assessed the extent that investigative characteristics mentioned in case files were associated with the odds that the case was cleared by arrest.

Findings

The findings from this study indicate that investigative case files as a data source are exceedingly unreliable. Investigators do not consistently document investigative practices and intelligence. And those that are consistently documented are a part of institutionalized practices that are unique to their corresponding police department.

Originality/value

This study is original in that it uses a social artifact framework to sharpen the focus on the role that the effective documentation of critical evidence plays in leading to arrests in gun violence cases.
Parasocial relationships and social media interactions: building brand credibility and loyalty
Authors: Lacap Jean Paolo Gomez , Cruz Mary Rose Maharlika , Bayson Antonino Jose , Molano Richard , Garcia John Gilbert
Published: August 2023

Purpose

This paper aims to explore how parasocial relationships with Korean celebrity endorsers on social media result in brand credibility and loyalty.

Design/methodology/approach

The participants were identified through a purposive sampling approach, and they were composed of consumers who purchased Korean-celebrity-endorsed products and services of a telecommunications company. The hypothesized relationships were gauged using a predictive approach as a research design via partial least squares (PLS) path modeling.

Findings

The findings show that all hypothesized relationships are supported. In particular, social media interaction was found to have a substantial, positive and significant effect on self-disclosure. Moreover, self-disclosure has a considerably significant and direct effect on parasocial relationships and was found to indirectly affect the link between social media interactions and parasocial relationships. The results further reveal that social media interactions and parasocial relationships predict source trustworthiness, leading to brand credibility and loyalty.

Originality/value

To the best of the authors’ knowledge, the present undertaking is the only study that examined how parasocial relationships on social media are built when foreign celebrities, in this case, the well-known Korean popular group BTS, endorse telecommunications products and services.
Different responses of functional groups to N addition increased synchrony and shortened community reproductive duration in an alpine meadow
Authors: Yang Xiangrong , Chen Yaya , Zhang Tianwu , Zhang Panhong , Guo Zengpeng , Hu Guorui , Zhang Hui , Sun Yinguang , Huang Li , Ma Miaojun
Published: July 2023

Flowering and fruiting phenology of plants is sensitive to environmental cues, and changes in reproductive phenology of individual plant species under climate change have been widely reported. However, how species‐level phenological responses scale up to affect community‐level reproductive phenology patterns (synchrony and reproductive duration) are still unclear.

An experiment on the effects of nitrogen (N) addition and precipitation changes on reproductive phenological traits of 52 species was conducted in an alpine meadow on the eastern Tibetan Plateau to determine the influence of the phenological response in different functional groups on community‐level reproductive phenology.

N addition significantly delayed the onset date of reproductive phenology of sedges (early‐flowering species) and advanced the end date of reproduction of forbs (late‐flowering species). Meanwhile, N addition reduced the number of individuals involved in reproduction of sedges and forbs, but it increased that of grasses (late‐flowering species). Furthermore, N addition increased reproductive synchrony, delayed the onset and shortened the duration of reproductive phenology at the community level. However, precipitation changes and their interaction with N addition had no significant effect on reproductive phenology of the alpine plant community.

Synthesis. These results suggested that differences in the direction and magnitude of response of different species to N enrichment lead to compression of reproductive duration at the community level, increasing the degree of overlap between reproductive events, which could change future species diversity, trophic interactions and productivity accumulation in alpine meadows on the Tibetan Plateau. Overall, knowledge of phenological responses from plant functional groups to the community level contributes to robust prediction and mechanistic understanding of community structure and function in response to future climate change.
The money tree: Exploring central bank digital currency blockchain imaginaries
Authors: Swartz Lana , Westermeier Carola
Published: August 2023

Central banks worldwide are developing, piloting and launching new central bank digital currencies (CBDCs). As the hub for the central banking community, the Bank for International Settlements (BIS) promotes a curiously botanical CBDC imaginary. From ‘money flowers’ to ‘tree trunks’ and a ‘strong canopy’, This helps to naturalize CBDC without clarifying its sociopolitical implications or envisioned monetary future, such as geopolitical tensions and financial fragmentation, new modes of financial interaction or the strengthened role of central banks. While omitting the paradoxes and ambivalences of CBDC, the imaginary of the BIS structures the enfolding discourses and allows the bank to function as a think tank for financial policy‐making.
Web3 and the entrepreneurial imaginary of the 2022 Lisbon Web Summit
Authors: Faustino Sandra
Published: August 2023

This article discusses the entrepreneurial imaginary and the role of Web3 in the narratives of industry actors at the 2022 Lisbon Web Summit. This imaginary does not address the qualitative aspects of current crises but rather their potential for regenerating capital flows in the spirit of never letting a good crisis go to waste. The article argues that the wealth‐tech nexus is symptomatic of the broader process of financialization of the economy and, in particular, of the growing role of private investment in the form of Venture Capital (VC), particularly illustrated by ‘unicorns’. While capital allocation in the digital economy, both from private and public sources, currently exceeds its realization, this entrepreneurial imaginary builds expectations towards Web3 and effectively drives the valuation process and investors’ returns, regardless of its future implementation.
The formation of classed health lifestyles during youth: A two‐generational, longitudinal approach
Authors: Eriksen Ingunn Marie , Stefansen Kari , Fjogstad Langnes Tonje , Walseth Kristin
Published: July 2023

The topic of this article is the classed formation of health lifestyles in youth. Based on longitudinal interview data (41 youths, 17 of their parents) from two contrasting class contexts in Norway, we investigate how health lifestyles are reproduced across generations and during youth, focussing particularly on diet and physical activity. We find that young people’s health lifestyles are powerfully shaped by social class and moulded over time in ways that may impact their further health trajectory. The health practices of upper‐class young people are closely monitored; they are practically and emotionally scaffolded by their parents. Developing a rigorous health orientation, they come to view health as an investment for the future, intrinsically linked to achievement, discipline and identity. Working‐class parents focus more on the child’s autonomy in matters of diet and physical activity. Separating health practices from family life, their children’s health orientation becomes more fragile and their children’s health lifestyle trajectory more arbitrary and vulnerable to peer influence and marketised body cultures. Combining temporality, youth agency and relationality, it becomes evident that young people internalise their parents’ health lifestyle, leaving room for different expressions of youth agency.
Evaluation of safety and care outcomes after the introduction of a virtual registered nurse model
Authors: Savitz Samuel T. , Frederick Ryannon K. , Sangaralingham Lindsey R. , Lampman Michelle A. , Anderson Stephanie S. , Habermann Elizabeth B. , Bell Sarah J.
Published: August 2023

Objective

To evaluate the impact of a virtual registered nurse (ViRN) model on safety and care outcomes. ViRN is a telemedicine intervention that enables an experienced virtual nurse to assist the in‐person care team in providing care to patients.

Data Sources and Study Setting

Electronic health records data were utilized from the Mayo Clinic during the intervention (December 2020–November 2021) and historical periods (December 2018–November 2019). ViRN was implemented on general medical units at the Mayo Clinic Rochester. We used general medical units at the Mayo Clinic Arizona as the comparison group.

Study Design

This study used a difference‐in‐differences design to evaluate the impact of ViRN compared to usual care on transfer to the intensive care unit (ICU), inpatient mortality, and length of stay (LOS). We used logistic regression for transfer to the ICU and inpatient mortality and negative binomial regression for LOS. We controlled for demographics, patient interaction with the health system, clinical characteristics, and admission characteristics. We clustered standard errors to account for patients who have multiple admissions during the study period.

Principal Findings

There were no significant differences for transfer to the ICU (average marginal effect (AME) −0.08 percentage point [95% confidence interval (CI): −1.34, 1.18]), inpatient mortality (AME 0.43 percentage point [95% CI: −0.33, 1.18]), or LOS (AME −0.20 days [95% CI: −0.57, 0.17]). The findings were mostly consistent across the sensitivity analyses.

Conclusions

Our results suggest that ViRN led to similar outcomes as usual care in general medical units. These findings support the potential to develop more advanced models of ViRN at the Mayo Clinic and the dissemination of the ViRN model to other systems. In the context of staffing shortages and other disruptions to the delivery of nursing care, it is critical to understand whether new models like ViRN provide nurse staffing alternatives without negatively affecting outcomes.
Patrolling the largest drug market on the eastern seaboard: A synthetic control analysis on the impact of a police bicycle unit
Authors: Lawrence Daniel S.
Published: July 2023

Research Summary

This study employed a microsynthetic control method to evaluate the impact of the newly introduced bicycle patrol unit in the Kensington neighborhood of Philadelphia, which is well‐known as a major drug market. The findings reveal that the bicycle patrol unit led to a notable reduction in social disorder crimes, which was one of the primary objectives of the patrol officers. However, it also resulted in a significant increase in the number of narcotic crimes, violent person crimes, and shooting offenses. The amount of total crimes and property crimes remained unchanged.

Policy Implications

Bicycle patrols can effectively reduce street‐level disorder and increase police efforts to arrest drug offenders and remove drugs from the streets. However, the introduction of this police activity may disrupt the normal operation of drug markets, which can lead to increased violence from instability in the street‐level drug business. Therefore, departments should conduct detailed crime analyses and gather intelligence alongside directed patrols to better understand and respond to the potential consequences of their interventions.
The additional treatment value of immunoglobulin for the treatment of rheumatoid arthritis complicated with interstitial lung disease: A propensity score‐matched pilot study
Authors: Shen Xiaoxia , Wang Fei
Published: July 2023

Objective

To explore the additional treatment value of intravenous immunoglobulin injections for treating interstitial lung disease (ILD) caused by rheumatoid arthritis (RA).

Methods

This pilot study included patients with RA‐ILD. The RA‐ILD patients were grouped by treatment agents: traditional agents (disease‐modifying antirheumatic drugs, [D]MARDs] and glucocorticoids) and traditional agents plus immunoglobulin. A propensity matching score (PSM) was performed to balance the bias of baseline characteristics. The treatment efficacy and safety indicators were analyzed and compared between the two groups.

Results

In total, 134 patients were included in this study. After PSM, 80 patients were finally included, with 40 in each group. The immunoglobulin group consisted of 12 men and 28 women with a mean age of 51.5 ± 8.4 years (22–75 years). The control group included 13 men and 27 women, with a mean age of 50.6 ± 8.2 years (25–74 years). The chronic obstructive pulmonary disease assessment test score in the immunoglobulin group was statistically lower after treatment than in the control group (19.1 ± 3.3 vs. 17.7 ± 3.4, p = .03). The 6‐min walking distance (364.4 ± 54.3 vs. 332.3 ± 55.1, p = .04) and forced vital capacity (78.8 ± 12.6 vs. 66.6 ± 11.2, p = .05) were statistically higher in the immunoglobulin group. The high‐resolution computed tomography score and erythrocyte sedimentation rate were both statistically lower in the immunoglobulin group (both p < .05). The adverse event rate did not differ between the two groups (p = .61).

Conclusion

The additional use of immunoglobulin intravenous injection is effective for the treatment of RA‐ILD with no additional adverse effects.
Individual‐based models of avian migration for estimating behavioural traits and predicting ecological interactions
Authors: Tonelli Benjamin A. , Zelin Alan E. , Dearborn Donald C. , Tingley Morgan W.
Published: July 2023

Rapid advances in the field of movement ecology have led to increasing insight into both the population‐level abundance patterns and individual‐level behaviour of migratory species. Despite this progress, research questions that require scaling individual‐level understanding of the behaviour of migrating organisms to the population level remain difficult to investigate.

To bridge this gap, we introduce a generalizable framework for training full‐annual cycle individual‐based models of migratory movements by combining information from tracking studies and species occurrence records. Focusing on migratory birds, we call this method: Models of Individual Movement of Avian Species (MIMAS). We implement MIMAS to design individual‐based models of avian migration that are trained using previously published weekly occurrence maps and fit via Approximate Bayesian Computation.

MIMAS models leverage individual‐ and population‐level information to faithfully represent continental‐scale migration patterns. Models can be trained successfully for species even when little existing individual‐level data is available for parameterization by relying on population‐level information. In contrast to existing mathematical models of migration, MIMAS explicitly represents and estimates behavioural attributes of migrants. MIMAS can additionally be used to simulate movement over consecutive migration seasons, and models can be easily updated or validated as new empirical data on migratory behaviours becomes available.

MIMAS can be applied to a variety of research questions that require representing individual movement at large scales. We demonstrate three applied uses for MIMAS: estimating population‐specific migratory phenology, predicting the spatial patterns and magnitude of ectoparasite dispersal by migrants, and simulating the spread of a pathogen across the annual cycle of a migrant species. Currently, MIMAS can easily be used to build models for hundreds of migratory landbird species but can also be adapted in the future to build models of other types of migratory animals.
Transitory and permanent shock transmissions between real estate investment trusts and other assets: Evidence from time‐frequency decomposition and machine learning
Authors: Ngene Geoffrey M. , Wang Jinghua
Published: July 2023

We evaluate asset returns and volatility connectedness using the time‐frequency connectedness model and machine learning approaches. Using 48 years of monthly indices of equity real estate investment trusts (EREITs), mortgage real estate investment trusts (MREITs), stocks, commodities, and bonds, we find that shocks to EREIT, and MREIT returns have a transitory impact on other assets. However, asset volatility connectedness among assets occurs at lower frequencies as markets slowly process pricing information. Therefore, shocks to EREIT and MREIT decay gradually and spill over to the other three assets for long periods. We also find that the intensity of the time‐frequency connectedness of returns and volatility varies with business cycles and significant domestic and global non‐recession events. We attribute the dominance of real estate investment trusts (REITs) in destabilising the financial system through long‐term volatility transmission to the heavy linkage of REITs to highly illiquid underlying direct real estate markets and high REITs leverage, making them more sensitive to real estate fundamentals, monetary shocks and macroeconomic risks than stocks and bonds. The result of the algorithm‐based machine learning model broadly supports the dominance of EREITs in the transmission of returns and volatility and shows that commodities have more explanatory power in the transmission of volatility than in returns. The empirical findings have implications for strategic and tactical asset allocation and policy design for market stability.