bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting the effect of entrepreneurial stressors and resultant strain on entrepreneurial behaviour: an SEM-based machine-learning approach
Authors: Arshi Tahseen Anwer , Islam Sardar , Gunupudi Nirmal 
Published: August 2021

PurposeConsiderable evidence suggests that although they overlap, entrepreneurial and employee stressors have different causal antecedents and outcomes. However, limited empirical data explain how entrepreneurial traits, work and life drive entrepreneurial stressors and create entrepreneurial strain (commonly called entrepreneurial stress). Drawing on the challenge-hindrance framework (CHF), this paper hypothesises the causal effect of hindrance stressors on entrepreneurial strain. Furthermore, the study posits that entrepreneurial stressors and the resultant strain affect entrepreneurial behaviour.Design/methodology/approachThe study adopts an SEM-based machine-learning approach. Cross-lagged path models using SEM are used to analyse the data and train the machine-learning algorithm for cross-validation and generalisation. The sample consists of 415 entrepreneurs from three countries: India, Oman and United Arab Emirates. The entrepreneurs completed two self-report surveys over 12 months.FindingsThe results show that hindrances to personal and professional goal achievement, demand-capability gap and contradictions between aspiration and reality, primarily due to unique resource constraints, characterise entrepreneurial stressors leading to entrepreneurial strain. The study further asserts that entrepreneurial strain is a significant predictor of entrepreneurial behaviour, significantly affecting innovativeness behaviour. Finally, the finding suggests that psychological capital moderates the adverse impact of stressors on entrepreneurial strain over time.Originality/valueThis study contributes to the CHF by demonstrating the value of hindrance stressors in studying entrepreneurial strain and providing new insights into entrepreneurial coping. It argues that entrepreneurs cope effectively against hindrance stressors by utilising psychological capital. Furthermore, the study provides more evidence about the causal, reversed and reciprocal relationships between stressors and entrepreneurial strain through a cross-lagged analysis. This study is one of the first to evaluate the impact of entrepreneurial strain on entrepreneurial behaviour. Using a machine-learning approach is a new possibility for using machine learning for SEM and entrepreneurial strain.
Opportunities and challenges of using socially intelligent agents: increasing interaction and school participation for children suffering from a long-term illness
Authors: Mårell-Olsson Eva , Mejtoft Thomas , Tovedal Sofia , Söderström Ulrik 
Published: August 2021

PurposeChildren suffering from cancer or cardiovascular disease, who need extended periods of treatment in hospitals, are subjected to multiple hardships apart from the physical implications, for example, experienced isolation and disrupted social and academic development. This has negative effects long after the child's recovery from the illness. The purpose of this paper is to examine the non-medical needs of children suffering from a long-term illness, as well as research the field of artificial intelligence (AI) – more specifically, the use of socially intelligent agents (SIAs) – in order to study how technology can enhance children's interaction, participation and quality of life.Design/methodology/approachInterviews were performed with experts in three fields: housing manager for hospitalized children, a professor in computing science and researcher in AI, and an engineer and developer at a tech company.FindingsIt is important for children to be able to take control of the narrative by using an SIA to support the documentation of their period of illness, for example. This could serve as a way of processing emotions, documenting educational development or keeping a reference for later in life. The findings also show that the societal benefits of AI include automating mundane tasks and recognizing patterns.Originality/valueThe originality of this study concerns the holistic approach of increasing the knowledge and understanding of these children's specific needs and challenges, particularly regarding their participation and interaction with teachers and friends at school, using an SIA.
Managing information asymmetry in public–private relationships undergoing a digital transformation: the role of contractual and relational governance
Authors: Aben Tom A.E. , van der Valk Wendy , Roehrich Jens K. , Selviaridis Kostas 
Published: August 2021

PurposeInter-organisational governance is an important enabler for information processing, particularly in relationships undergoing digital transformation (DT) where partners depend on each other for information in decision-making. Based on information processing theory (IPT), the authors theoretically and empirically investigate how governance mechanisms address information asymmetry (uncertainty and equivocality) arising in capturing, sharing and interpreting information generated by digital technologies.Design/methodology/approachIPT is applied to four cases of public–private relationships in the Dutch infrastructure sector that aim to enhance the quantity and quality of information-based decision-making by implementing digital technologies. The investigated relationships are characterised by differing degrees and types of information uncertainty and equivocality. The authors build on rich data sets including archival data, observations, contract documents and interviews.FindingsAddressing information uncertainty requires invoking contractual control and coordination. Contract clauses should be precise and incentive schemes functional in terms of information requirements. Information equivocality is best addressed by using relational governance. Identifying information requirements and reducing information uncertainty are a prerequisite for the transformation activities that organisations perform to reduce information equivocality.Practical implicationsThe study offers insights into the roles of both governance mechanisms in managing information asymmetry in public–private relationships. The study uncovers key activities for gathering, sharing and transforming information when using digital technologies.Originality/valueThis study draws on IPT to study public–private relationships undergoing DT. The study links contractual control and coordination as well as relational governance mechanisms to information-processing activities that organisations deploy to reduce information uncertainty and equivocality.
India's tryst with Modi-fare 2014–19: towards a universalistic welfare regime
Authors: Nakray Keerty 
Published: August 2021

PurposeThis paper examines India’s tryst with welfare/dis-fare with a specific focus on Modi Sarkar's (2014–2019) dirigiste style reforms. In the welfare regime research, Esping-Andersen (1990) classified advanced economies into three ideal-types of liberal, conservative-corporatist and social-democratic welfare states by government-led welfare provisions and levels of decommodification. The classical typology discussions include countries such as India which is classified as informal-insecurity regime due to a large informal economy with no social security for workers. Based on theoretical standpoints of the political economy of welfare states, comparative historical institutionalism and critical junctures this article examines Modifare has expanded formal welfare to its citizens.Design/methodology/approachThe article uses crisp-set analysis to examine the social policy developments under Modi's regime in India.FindingsThis paper examines if the centre-right Modi government did bring about a radical departure from UPA I and II lacklustre welfare approach to the more strategic use of welfare reforms as a political weapon on a national scale. It concludes that Modi-fare falls short in being transformatory.Originality/valueThe article is an original contribution to the field of comparative welfare regimes.
Business, peacebuilding, violent conflict and sustainable development in Myanmar: presenting evidence from a new survey dataset
Authors: Miklian Jason , Barkemeyer Ralf 
Published: August 2021

Purpose
This paper aims to present a new survey data set of 9,065 private sector respondents and other stakeholder groups, in Myanmar. The primary aim of this paper is to offer new insight avenues on local business–conflict–development interactions, and offer the full survey data set itself as an open-source research tool for scholars and practitioners.

Design/methodology/approach
The survey was conducted over smartphone in 2018. It asked questions that aimed to better understand the relationships between business, ethnic conflict, investment, corporate social responsibility and the United Nations sustainable development goals in Myanmar and in Rakhine State in particular.

Findings
The data set captures a series of significant differences in corporate leadership perspectives on the role of business in society, across sectors (e.g. banking, agriculture, retail, manufacturing, extractives) and variations across firm country of ownership (e.g. national firms, Global North firms, Indian firms, Chinese firms).

Research limitations/implications
The authors conclude with a brief discussion of possible research findings from the survey, offering suggestions for possible forward analysis. The authors offer here the raw survey data as an attachment for full global open-source use and application.

Practical implications
This data set offers a unique window into stakeholder perceptions and understandings of working through conflict, and the role of business in development in a fragile conflict-affected state (Myanmar). The authors also conduct two example analyses of the data set using ANOVA and Kruskal–Wallis tests to illustrate possible uses and findings of the data set.

Social implications
The authors briefly discuss social implications as well, particularly regarding the role of business in peacebuilding and development.

Originality/value
This data set offers a unique window into stakeholder perceptions and understandings of working through conflict, and the role of business in development in a fragile conflict-affected state (Myanmar). The authors also conduct two example analyses of the data set using ANOVA and Kruskal–Wallis tests to illustrate possible uses and findings of the data set.
Ethics and digital collections: a selective overview of evolving complexities
Authors: Mindel David 
Published: August 2021

PurposeDigital collections are becoming more commonplace at libraries, archives and museums around the world, creating potential for improved accessibility to information that may otherwise remain hidden and further support for intellectual exploration. As a result of the growing potential for digital collections to inform and influence, the conversation surrounding ethics and digital collections needs to be continually examined and adapted as technologies evolve, user expectations change and digital information plays an increasing role in our everyday lives. In this context, this paper presents an overview of multifaceted ethical realities that impact the how, why and what digital information is created, accessed and preserved.Design/methodology/approachWritten from the perspective of a digital collections librarian, this paper relies on existing research in presenting ethical considerations and complements that research with professional observations in providing subsequent reflections on addressing challenges in the age of digital information.FindingsThere are and should be considerations given to not only what information is contained in a given collection, but also how that information is selected, accessed and consumed by the public. The conclusions offered are designed to provoke reflection on the evolving and interconnected nature of information and ethics in the context of digital collections.Originality/valueInformation ethics is multifaceted, with one of those facets relating directly to digital collections. This paper demonstrates that digital collections are more complex than simply a collection of digitized documents and photographs. As the field of information management continually evolves and adapts, so, too, do the ethical realizations identified in this paper, all of which go beyond the (virtual) walls of a library, archive or museum, and carry the potential to have a long-term impact concerning information and its integrity, equity and access.
The synergistic effect of ego-network stability and whole network position: a perspective of transnational coopetition network
Authors: Feiyang Guan , Tienan Wang , Linbing Sun , Liqing Tang 
Published: August 2021

PurposeThe authors selected global automobile manufacturing firms whose sales ranked within 100 in the five years from 2014 to 2018 in the Factiva database to examine how the characteristics of a firm's whole network and ego-network in a transnational coopetition network influence network performance.Design/methodology/approachThe authors analyzed the public news of the sample firms about the coopetition by structural content analysis to build the coopetition networks and access to data on the competitive actions of firms. Then, to measure the variables associated with the coopetition network, such as the structural hole, centrality and ego-network stability, the authors use UCINET 6 that is a widely used piece of software for social network analysis to establishing five undirected binary adjacency matrices.FindingsThe authors find that a firm's competitive aggressiveness mediates the relationship between a firm's whole network position and network performance that emphasizes the need for integrating competitive dynamics research and coopetition research and shows how valuable insights can be gained through such integration. And the interaction of structural hole and centrality impacts competitive aggressiveness and network performance, and the interaction is different under high and low ego-network stability. The integration of whole network and ego-network literature studies provides new insights into firm network literature.Practical implicationsIn the process of cooperation, firms should consider whether they can occupy the structural hole and center as important indicators for partner selection. Too stable relationship will prevent firms from obtaining new resources. Firms should weigh the period of cooperation according to specific situation.Originality/valueThese results indicate that ego-network stability, as an important complementary characteristic of coopetition network, has a significant synergistic effect with structural holes and centrality on competitive aggressiveness and network performance. And these findings expand the current literature on the relationship between characteristics of network, competitive aggressiveness and network performance.
Reconstructing ecological functions provided by extinct fauna using allometrically informed simulation models: An in silico framework for ‘movement palaeoecology’
Authors: Perry George L. W. , Wilmshurst Janet M. , Wood Jamie R. 
Published: August 2021

Abstract

Many ecological functions, including seed dispersal, pollination and the flow of nutrients between ecosystems, result from the movement of animals. The ongoing reduction and extinction of animal populations and species means that these functions are reduced or lost. As a result, conservation and restoration activities often seek to reinstate ecological functions to the communities from which they have been depleted.

Advances in movement and allometric ecology offer a way to reconstruct the movement and emergent functions of extinct taxa. Here, we describe a framework for integrating insights from movement ecology with allometric relationships linking body mass to movement and other traits and demonstrate how this can be used to reconstruct the emergent functions of extinct taxa. Allometric relationships are best resolved for vertebrates (especially mammals), so we highlight potential gaps relevant to developing trait‐based allometric movement models for data‐depauperate taxa.

To test our framework, we use it to estimate seed dispersal kernels for seven extant bird species for which seed dispersal distances are available. We then apply it to predict the movement activity and emergent seed dispersal kernels for three extinct endemic New Zealand bird species (two flightless and one volant), spanning four orders of magnitude in body mass.

The model performs satisfactorily for the extant species, with predicted mean, median and maximum seed dispersal distances overlapping empirical estimates, but with a tendency to over‐prediction. If empirical data were available, the model could be calibrated for specific taxa or landscapes. The model shows that the three extinct bird species could have been important agents of long‐distance seed dispersal, and comparable functions are probably now absent in New Zealand's ecosystems.

Summary. Trait‐based allometric models can be used to simulate the movement and associated functions of extinct animals. Reconstructing the functions of extinct (or data depauperate) species cannot be achieved by chaining together statistical relationships; such efforts must adequately represent natural history and carefully use computational model evaluation tools. A further challenge is adequately representing the effects of past landscape heterogeneity on disperser movement, fruit distribution and hence dispersal distances.

A free Plain Language Summary can be found within the Supporting Information of this article.
Extreme flood disturbance effects on multiple dimensions of river invertebrate community stability
Authors: Eagle Lawrence J. B. , Milner Alexander M. , Klaar Megan J. , Carrivick Jonathan L. , Wilkes Martin , Brown Lee E. 
Published: August 2021

Abstract

Multidimensional analysis of community stability has recently emerged as an overarching approach to evaluating ecosystem response to disturbance. However, the approach has previously been applied only in experimental and modelling studies.

We applied this concept to an 18‐year time series (2000–2017) of macroinvertebrate community dynamics from a southeast Alaskan river to further develop and test the approach in relation to the effects of two extreme flood events occurring in 2005 (event 1) and 2014 (event 2).

Five components of stability were calculated for pairs of pre‐ or post‐event years. Individual components were tested for differences between pre‐ and post‐event time periods. Stability components’ pairwise correlations were assessed and ellipsoids of stability were developed for each time period and compared to a null model derived from the permuted dataset.

Only one stability component demonstrated a significant difference between time periods. In contrast, 80% of moderate and significant correlations between stability components were degraded post‐disturbance and significant changes to the form of stability ellipsoids were observed. Ellipsoids of stability for all periods after the initial disturbance (2005) were not different to the null model.

Our results illustrate that the dimensionality of stability approach can be applied to natural ecosystem time‐series data. The major increase in dimensionality of stability observed following disturbance potentially indicates significant shifts in the processes which drive stability following disturbance. This evidence improves our understanding of community response beyond what is possible through analysis of individual stability components.
ICOS+ follicular regulatory T cells are implicated in the pathogenesis of ulcerative colitis
Authors: Yao Li , Guo Jianyang , Gui Juan , Bai Feihu , Xin Ruijuan , Deng Yanhong , Wang Shaoxuan , Li Haitao 
Published: August 2021

AbstractUlcerative colitis (UC) is an inflammatory bowel disease (IBD) with a rising incidence worldwide. The precise aetiology is unclear, but aberrant regulatory T cell (Treg) responses have been documented in active UC patients. Follicular regulatory T cell (Tfr) is a recently identified subset of Treg cells. In this study, the role of ICOS in Tfr cells, which is a costimulatory molecule shown to stabilize and promote Treg differentiation, was investigated in UC patients. We found that with increasing UC severity, the frequency of ICOS+CD4 T cells was increased, but the level of ICOS expression by ICOS+ CD4 T cells was decreased. ICOS+ cells were highly enriched in follicular regulatory T cells (Tfr), which is a subset of Treg cells characterized by CD25+CD127−CXCR5+Foxp3+ phenotype. Anti‐CD3, anti‐CD3/CD28, or anti‐CD3/ICOS had all significantly increased the expression of Foxp3 and IL‐10, and among the three stimulation methods, anti‐CD3/ICOS was most effective at enhancing Foxp3 and IL‐10 expression. Moreover, anti‐CD3/ICOS‐stimulated Tfr cells could suppress conventional T cell proliferation in an IL‐10‐dependent manner. Interestingly, anti‐CD3/ICOS stimulation was less effective in UC‐Mild and UC‐Active patients compared to that in healthy and UC‐Remission patients. In addition, UC patients presented impairment in ICOS upregulation following anti‐CD3 stimulation. Overall, these data indicated that ICOS+ Tfr cells were dysregulated in UC patients and the level of dysregulation was associated with the severity of UC, suggesting that ICOS+Tfr cells could serve as a biomarker of the progression of UC.
Factors affecting primary care implementation for older veterans with multimorbidity in Veterans Health Administration (VA)
Authors: Adjognon Omonyêlé L. , Shin Marlena H. , Steffen Melissa J. A. , Moye Jennifer , Solimeo Samantha , Sullivan Jennifer L. 
Published: August 2021

AbstractObjectiveTo identify factors affecting implementation of Geriatric Patient‐Aligned Care Teams (GeriPACTs), a patient‐centered medical home model for older adults with complex care needs including multiple chronic conditions (MCC), designed to provide them with comprehensive, managed, and coordinated primary care.Data SourcesQualitative data were collected from key informants at eight Veterans Health Administration Medical Centers geographically spread across the United States.Study DesignGuided by the Consolidated Framework for Implementation Research (CFIR), we collected prospective primary data through semi‐structured interviews with GeriPACT team members (e.g., physicians, nurses, social workers, pharmacists), leaders (e.g., executive leaders, middle managers), and other staff referring to the program.Data CollectionWe conducted in‐person, semi‐structured interviews with 134 key informants. Interviews were recorded with permission and professionally transcribed. Transcripts were coded in Nvivo 11. We used directed content analysis to identify key factors affecting GeriPACT implementation across sites.Principal FindingsFive key factors affected GeriPACT implementation—five CFIR constructs within two CFIR domains. Within the intervention characteristics domain, two constructs emerged, namely, (1) the structure of the GeriPACT model and (2) design, quality, and packaging. Within the inner setting domain, we identified three constructs, namely, (1) available resources (e.g., staffing and space, and infrastructure and information technology), (2) leadership support and engagement, and (3) networks and communications including teamwork, communication, and coordination.ConclusionsOlder veterans with MCC have complex primary care needs requiring high levels of care management and coordination. Knowing what key factors affect GeriPACT implementation is critical. Study findings also contribute to the growing implementation science literature on applying CFIR to evaluate factors that affect program implementation, especially to aging research. Further studies on MCC‐focused specialty primary care will help facilitate patient‐centered care provision for older adults' complex health needs while also leveraging synergistic work across factors affecting implementation.