bluuebunny/crossref_metadata_2025_split huggingface dataset:
Moving from theory to practice: exploring power and power sharing in participatory health research partnerships: a scoping review protocol
Authors: Burduladze Nino , Jones Laundette P. , Jones Brian D. , Msowoya Uchizi , Salsberg Jon , Whitney Anna , Gilfoyle Meghan 
Published: November 2022

AbstractIntroductionParticipatory health research (PHR) as a research paradigm, guides the research process and strives to achieve positive change in society in the interest of people’s health. In this scoping review, PHR will be used as an umbrella term considering a wide range of collaborative research approaches in the health context. PHR is conducted ‘with’ or ‘by’ those it intends to benefit, as opposed to ‘on’ and ‘for’ them. Their involvement throughout the research process seeks to shift power and decision-making from where they traditionally lay within academia toward community, patient and public end-users. Research cannot be truly participatory without concurrently addressing power dynamics within the partnership and power imbalances in decision making. Therefore, power sharing can be defined as a major factor in building effective academic-community collaborations. This scoping review aims to identify, clarify, and map existing literature on power and power sharing in PHR from both theoretical and practical perspectives. Specifically, we will explore how is power conceptualised throughout the literature, and how power and power sharing are applied and addressed in real-life PHR partnerships.Materials and methodsThis scoping review will be conducted in accordance with the guidelines outlined in the Joanna Briggs Institute (JBI) Reviewer’s Manual. This scoping review will consider both empirical and non-empirical research that report on understanding power and power sharing in participatory health research partnerships. All appropriate studies will be retrieved from the following five electronic databases: PubMed, Scopus, Embase, PsycINFO, SocIndex. This review will be limited to articles published in English and from January 1998 to April 2022. As the scoping review aims to capture more than peer-reviewed and published literature, it will also include grey literature such as theses and dissertations, reports, conference proceedings, and editorials. Data from the included literature will be extracted based on the data extraction tool, defined in advance.Ethics and disseminationAs primary data will not be collected, ethical approval is not required to conduct the scoping review. The findings of this study will be disseminated through peer-reviewed publications.
Decoding influencer marketing from a community perspective: typologies and marketing management implications
Authors: Wang Rang , Chan-Olmsted Sylvia 
Published: November 2022

PurposeSince influencer marketing becomes more sophisticated, it is difficult for brands to manage the strategy and process of this marketing practice. With a practical focus, this study aims at helping marketers cope with the challenge by developing conceptual typologies for influencers and followers and suggesting marketing implications for each type of influencer and follower.Design/methodology/approachThis study subscribes to the perspectives of virtual community and social information processing to develop conceptual typologies for influencers and followers based on their essential characteristics.FindingsBased on levels of expertise and interactivity, influencers can be categorized as broadcasters, leaders, friends and companions. Each type has advantages in certain branding objectives (e.g. increasing awareness, inducing judgments and feelings, building brand and user imagery, encouraging pro-brand behaviors and managing relationships) and is associated with certain marketing limitations (e.g. reach, domain breadth, informational support, brand congruence and relationship management). Based on levels of behavioral engagement and the point of attachment, followers are categorized into spectators, participants, admirers and advocators, with specific marketing communication strategies most effective for each type (e.g. strategies of content, narratives, engagement and co-branding).Originality/valueThe study translates the idea of influencer community into a practically useful framework for practitioners to best leverage influencer marketing and an innovative perspective for scholars to further investigate the phenomenon.
CBDC, Fintech and cryptocurrency for financial inclusion and financial stability
Authors: Ozili Peterson K. 
Published: November 2022

PurposeThe purpose of this study is to discuss the role of central bank digital currency (CBDC), Fintech and cryptocurrency for financial inclusion and financial stability.Design/methodology/approachThis study used critical discourse analysis to identify the benefits and risks of CBDC, Fintech and cryptocurrency for financial inclusion and financial stability.FindingsFintech, CBDC and cryptocurrency can increase financial inclusion by providing an alternative channel through which unbanked adults can access formal financial services. CBDC and Fintech services have the potential to preserve financial stability, while cryptocurrency presents financial stability risks that can be mitigated through effective regulation. This paper also identified some problems of CBDC, Fintech and cryptocurrency for financial inclusion and financial stability. This paper offered some insight about the future of financial inclusion and the future of financial stability.Practical implicationsAlthough CBDC, Fintech or cryptocurrency can extend financial services to unbanked adults and offer cost-efficient advantages, there are risk considerations that need to be taken into account when using CBDC, Fintech and cryptocurrency to increase financial inclusion and to preserve financial stability.Originality/valueThe literature has not identified the combined role of CBDC, Fintech and cryptocurrency for financial inclusion and financial stability. To the best of the author’s knowledge, this paper is the first paper to assess the combined role of CBDC, Fintech and cryptocurrency for financial inclusion and financial stability.
Explaining the effect of artificial intelligence on the technology acceptance model in media: a cloud computing approach
Authors: Tavakoli Seyed Shahramadin , Mozaffari Afsaneh , Danaei Abolfazl , Rashidi Ehtesham 
Published: November 2022

Purpose
The purpose of this paper is to explain the effect of the technology acceptance model in the media environment by using the mediating role of artificial intelligence and the cloud computing approach.

Design/methodology/approach
After reviewing the theoretical foundations, a conceptual model framework and research hypotheses were formed. The statistical population of the study included managers, deputies and experts from the National Iranian Oil Company, and a statistical sample of 368 people was selected by simple random sampling.

Findings
The results of structural equation modelling with PLS 2.0 software show a positive and significant effect on the artificial intelligence variable in the technology acceptance model with the cloud approach. Artificial intelligence has opened a new space in the digital world, especially in the media, so that its profound impact is quite evident and has affected people’s lives.

Originality/value
The acceleration of various technologies has severely challenged the approach of organizations, especially the media. The media environment with word of the technologies of the Industry 4.0, especially cloud computing technology, has changed the ways of accessing and using products and services.
Conceptualising feminist resistance in the postfeminist terrain
Authors: Berglund Karin , Ahl Helene , Pettersson Katarina , Tillmar Malin 
Published: November 2022

Purpose
In this paper, women entrepreneurs are seen as leaders and women leaders as entrepreneurial, making both groups an easy target of postfeminist expectations, governed by calls to embody the entrepreneurial self. Acknowledging that the entrepreneurial self has its roots in the universal, rational and autonomous subject, which was shaped in a male form during the Enlightenment, the purpose of this study is to conceptualise feminist resistance as a process through which the autonomous subject can be de-stabilised.

Design/methodology/approach
Empirically, this study draws on an extensive research project on women’s rural entrepreneurship that includes 32 in-depth interviews with women entrepreneurs in rural Sweden. This study interpreted expressions of resistance from the women by using an analytical framework the authors developed based on Jonna Bornemark’s philosophical treatise.

Findings
Feminist resistance unfolds as an interactive and iterative learning process where the subject recognises their voice, strengthens their voice and beliefs in a relational process and finally sees themselves as a fully fledged actor who finds ways to overcome obstacles that get in their way. Conceptualising resistance as a learning process stands in sharp contrast to the idea of resistance as enacted by the autonomous self.

Research limitations/implications
This study helps researchers to understand that what they may have seen as a sign of weakness among women, is instead a sign of strength: it is a first step in learning resistance that may help women create a life different from that prescribed by the postfeminist discourse. In this way, researchers can avoid reproducing women as “weak and inadequate”.

Originality/value
Through the re-writing of feminist resistance, the masculine entrepreneurship discourse including the notion of the autonomous self is challenged, and a counternarrative to the postfeminist entrepreneurial woman is developed. Theorising resistance as a learning practice enables a more transforming research agenda, making it possible to see women as resisting postfeminist expectations of endless competition with themselves and others.
Entrepreneurial ecosystems and actor legitimacy
Authors: Lechner Christian , Delanoë-Gueguen Servane , Gueguen Gaël 
Published: November 2022

PurposeThis study contributes to a better understanding of the important actor-specific, micro-level legitimacy dimensions in dynamic entrepreneurial ecosystems (EEs).Design/methodology/approachUsing an embedded case study approach and rich longitudinal data collected over 16 years within a French EE, the study analyzes the legitimacy gaining process of two actors coming from opposite founding conditions.FindingsThree dimensions of legitimacy (3L) are necessary to be accepted as functional actors within EEs: institutional legitimacy (IL) refers to the EE's acceptance of an actor as an institution active in the field of entrepreneurship; cultural legitimacy (CL) means that the actor is recognized as possessing and promoting values considered appropriate by the entrepreneurial community; relational legitimacy (RL) relates to the willingness of the entrepreneurial community to interact with the actor. These are complementary dimensions that members of EEs need to possess to acquire full legitimacy. Different paths are possible to achieve this full legitimacy.Research limitations/implicationsReplicating the study with a comparative approach including more actors could represent an interesting avenue for research.Practical implicationsThis research provides insights into the underlying dimensions of legitimacy in EEs, how various actors gain legitimacy in such contexts and how this influences the dynamics of EEs.Originality/valueThe results provide novel insights into the issue of legitimacy in EEs and legitimacy theory in general.
Chinese cross-border acquisitions: stylised facts and new directions
Authors: Hu Shuang , Gunessee Saileshsingh , Liu Chang 
Published: November 2022

PurposeChinese multinational enterprises’ (MNEs) unprecedented, aggressive cross-border mergers and acquisitions (CBMAs) have led to several studies examining Chinese CBMAs, which importantly has also led to some degree of “theorising”. This study aims to undertake a “non-theoretical” fact-finding exercise before any theorising and empirical “causal” examination for a better understanding of the phenomenon (the rise of Chinese CBMAs).Design/methodology/approachThis study uses a “stylised facts” approach which documents “empirical regularities” concerning Chinese CBMAs and thus guides new research questions.FindingsSeveral facts are documented. Firstly, both the value and frequency of Chinese CBMAs are catching up to greenfield investments, with CBMA deals being larger in scale but lower in frequency. Secondly, Chinese CBMAs show a global reach away from the regional orientation of their early years. Thirdly, Chinese MNEs are possibly transforming their value chain with industrial upgrading as an aim. Fourthly, Chinese “full” acquisitions of targets have surged, especially in OECD countries, suggestive of Chinese MNEs’ “radical” acquisition approaches.Originality/valueThe gathered facts lend support to the view of the need for such fact-finding exercises to explicate and shed “new” light on the phenomenon (beyond our “current” views/beliefs). An understanding of the underlying trends beyond bare facts can also identify new knowledge, which can in turn provide new directions for research.
Organizational resilience under COVID-19: the role of digital technology in R&D investment and performance
Authors: Guan Feiyang , Tienan Wang , Tang Liqing 
Published: November 2022

PurposeThis study aims at the sudden outbreak of COVID-19, which had an unprecedented negative impact on the Chinese economy, with firms being affected most. Firms differ in terms of their specific internal environment, shaping their ability to respond to the outbreak, so the impact may also vary.Design/methodology/approachIn this paper Chinese listed firms are selected as samples to investigate the mediating effect of prior digital technology on the relationship between R&D (research and development) investment (funds and staff) and firm performance during the epidemic. Firm size and diversification are then introduced as moderating variables to explore the conditional mediating effect of digital technology.FindingsThe results indicate that the higher the firm's prior R&D investment, the higher its digital technology level, and thus the stronger its resistance to the epidemic. Moreover, compared with large-scale firms, small-scale firms have the advantage of strategic flexibility to technological changes, which can help them accumulate experience from R&D activities for digital transformation, thus attenuating the negative impact of the COVID-19 on firm performance. Finally, the results also show that digital technology mediates more strongly between R&D investment and firm performance in diversified firms than in centralized firms.Originality/valueThe study builds a mediation model to reveal the process mechanism through which R&D investment affects firm performance via digital technology. Firm size and diversification are then innovatively introduced as situational factors to build the moderated mediation model, which opens up a new perspective for understanding the effect of firm internal factors on the relationship between R&D investment, digital transformation and firm performance.
Impact of supervisor developmental feedback on employee innovative behavior: roles of psychological safety and face orientation
Authors: Cai Liling , Xiao Zengrui , Ji Xiaofen 
Published: November 2022

PurposeDrawing on social cognitive theory, this study aims to examine the relationship between supervisor developmental feedback and employee innovative behavior, incorporating with the mediating role of psychological safety and the moderating role of face orientation.Design/methodology/approachA survey was conducted in 15 manufacturing companies in China. The participants comprised 302 employees. Hierarchical regression analysis was used to test the hypotheses. The mediating effects and the moderated mediating effects are further examined with bias-corrected bootstrapping method.FindingsSupervisor developmental feedback has a positive effect on employee innovative behavior through psychological safety, and this mediating effect is weakened by protective face orientation (fear of losing face), while the moderating effect of acquisitive face orientation (desire to gain face) is not significant.Practical implicationsOrganizations should create a development-oriented and safe innovation atmosphere for employees. In addition, leaders should adopt differentiated feedback and communication methods according to subordinates' face orientation.Originality/valueThe study has demonstrated the positive effect of supervisor developmental feedback on employee innovative behavior, which is different from previous studies on performance feedback and leadership types. Meanwhile, this study has also explored the mediating effect of psychological safety and the moderating effect of face orientation, which provides more insights on the mechanism and boundary conditions of the effect of supervisor developmental feedback.
Efficiency evaluation and loan assessment of fashion upcyclers in Liberia using fuzzy, DEA and FIS models
Authors: Sumo Peter Davis , Ji Xiaofen , Cai Liling 
Published: November 2022

Purpose
Studies on textile upcycling in Africa are rare, particularly in Liberia, where extensive upcycling designs are appreciated throughout the country. This study aims to contribute to the upcycling literature from the perspective of Liberia’s fashion upcyclers by assessing their coping strategies and understanding the challenges confronting fashion upcycling in Monrovia’s four largest markets.

Design/methodology/approach
A fuzzy analytical hierarchy process and data envelopment analysis (DEA) models were used to assess labor input, delivery and flexibility, technological and innovation capability, financial capability, pricing of finished products, customer service and quality outputs of upcycled fashions. The fuzzy inference system model assessed upcyclers’ loaning eligibility.

Findings
The results highlight that Liberia’s fashion upcycling is expanding with varying innovative designs. The quality of upcycled fashions was deemed most important in the proposed AHP model. However, many upcycling businesses lack sufficient capital to make long-term investments. With the necessary investment, the innovation of these upcyclers could be a new line of fashion brands with great potential. In addition, using a fair judgment in assessing the little loaning funds available is paramount to enhancing their growth.

Research limitations/implications
Only 34 decision-making units were assessed. Future research could expand this scope using other models with more practical loaning strategies.

Originality/value
This study presents a wealth of managerial and policy implications. The proposed hybrid model is adequate for developing managerial decisions for fashion upcyclers. The proposed framework can manage ambiguity, inaccuracy and the complexity of making decisions based on numerous criteria, making it applicable in unearthing robust strategies for enhancing the fashion upcycling sectors and other industries in developing countries. In addition, the proposed fuzzy Mamdani system could also be extended to other sectors, such as agriculture, for a more transparent allocation of resources.
Understanding mobile e-wallet consumers’ intentions and user behavior
Authors: Esawe Ahmed Taher 
Published: November 2022

PurposeThis study aims to investigate the factors that influence behavioral intention (BI) and usage of e-wallets by extending the unified theory of acceptance and use of technology (UTAUT) with constructs, namely, mobile self-efficacy, perceived enjoyment and satisfaction.Design/methodology/approachThis quantitative study used partial least squares structural equation modeling on a sample of 576 mobile e-wallet users surveyed online.FindingsThe key findings indicate that the model can explain 58.8% of the variance in behavioral intention and 53.8% in usage. Moreover, mobile self-efficacy has a significant influence on perceived enjoyment. Perceived enjoyment significantly affects satisfaction, effort expectancy and performance expectancy. Furthermore, effort expectancy significantly influences customer satisfaction in contrast to performance expectancy. In addition, although performance expectancy, social influence and satisfaction significantly impact consumers’ behavioral intention, effort expectancy and facilitating conditions condition have an insignificant influence on consumers’ behavioral intention. E-wallet stakeholders can use the findings of this study to make strategic decisions regarding the e-wallet ecosystem.Originality/valueAlthough previous studies have independently addressed the impact of mobile self-efficacy, perceived enjoyment and satisfaction on consumers’ behavioral intention and usage behavior, the expanded framework with the possible relationships proposed in this study has never been adequately studied in previous research in the context of e-wallets in developing countries based on an empirical analysis. This study represents one of the first attempts to improve the UTAUT by empirically analyzing these relationships.
Removal of strong noise in magnetotelluric data using grey wolf optimized wavelet threshold
Authors: Li Jin , Liu Shanshan , Zhang Xian , Tang Jingtian , Li Nianchun 
Published: November 2022

AbstractTraditional magnetotelluric signal processing usually uses time–frequency transformation method. Wavelet is also a time–frequency transformation method that used to suppress the magnetotelluric noise. However, the selection of the threshold is very significant, and the unsuitable threshold will lead to excessive distortion of the reconstructed signal. Thus, we propose a method for magnetotelluric noise suppression using grey wolf optimized wavelet threshold. First, the magnetotelluric signal is decomposed by wavelet with appropriate wavelet basis and decomposition layers. The generalized cross‐validation criterion is used as the fitness function of grey wolf optimizer algorithm, which optimizes the threshold of each decomposition layer. Then, the detail coefficients of each layer and the maximum layer of the approximation coefficients are used in the optimized threshold. Next, the inverse wavelet transform is performed. Finally, the noise contour is obtained through iteratively searching for the optimal threshold, and the useful magnetotelluric signal is reconstructed. Simulation experiments and measured magnetotelluric data processing show that the large‐scale interference can effectively be suppressed, and the reconstructed magnetotelluric signal retains the more abundant low‐frequency of useful information. Compared with the remote reference method, fixed threshold method and Birge–Massart layered threshold method, the proposed method realizes the wavelet denoising with adaptive threshold selection in the magnetotelluric noise suppression. The results obtained show smoother and more continuous apparent resistivity–phase curves, which verifies the effectiveness of the optimization.