bluuebunny/crossref_metadata_2025_split huggingface dataset:
Humanitarian supply chain management in the digital age: a hybrid review using published literature and social media data
Authors: Shrivastav Santosh Kumar , Bag Surajit 
Published: July 2023

PurposeThe purpose of this study is to examine various data sources to identify trends and themes in humanitarian supply chain management (HSCM) in the digital age.Design/methodology/approachIn this study, various data sources such as published literature and social media content from Twitter, LinkedIn, blogs and forums are used to identify trending topics and themes on HSCM using topic modelling.FindingsThe study examined 33 published literature and more than 94,000 documents, including tweets and expert opinions, and identified eight themes related to HSCM in the digital age namely “Digital technology enabled global partnerships”, “Digital tech enabled sustainability”, “Digital tech enabled risk reduction for climate changes and uncertainties”, “Digital tech enabled preparedness, response and resilience”, “Digital tech enabled health system enhancement”, “Digital tech enabled food system enhancement”, “Digital tech enabled ethical process and systems” and “Digital tech enabled humanitarian logistics”. The study also proposed a framework of drivers, processes and impacts for each theme and directions for future research.Originality/valuePrevious research has predominantly relied on published literature to identify emerging themes and trends on a particular topic. This study is unique because it examines the ability of social media sources such as blogs, websites, forums and published literature to reveal evolving patterns and trends in HSCM in the digital age.
Evaluation analysis and promotion paths of regional green innovation vitality in China
Authors: Zhou Wenhao , Li Hailin , Zhang Liping , Tian Huimin , Fu Meng 
Published: July 2023

PurposeThe purpose of this work is to construct a grey entropy comprehensive evaluation model to measure the regional green innovation vitality (GIV) of 31 provinces in China.Design/methodology/approachThe traditional grey relational proximity and grey relational similarity degree are integrated into the novel comprehensive grey evaluation framework. The evaluation system of regional green innovation vitality is constructed from three dimensions: economic development vitality, innovative transformation power and environmental protection efficacy. The weights of each indicator are obtained by the entropy weight method. The GIV of 31 provinces in China is measured based on provincial panel data from 2016 to 2020. The ward clustering and K-nearest-neighbor (KNN) algorithms are utilized to explore the regional green innovation discrepancies and promotion paths.FindingsThe novel grey evaluation method exhibits stronger ability to capture intrinsic patterns compared with two separate traditional grey relational models. Green innovation vitality shows obvious regional discrepancies. The Matthew effect of China's regional GIV is obvious, showing a basic trend of strong in the eastern but weak in the western areas. The comprehensive innovation vitality of economically developed provinces exhibits steady increasing trend year by year, while the innovation vitality of less developed regions shows an overall steady state of no fluctuation.Practical implicationsThe grey entropy comprehensive relational model in this study is applied for the measurement and evaluation of regional GIV, which improves the one-sidedness of traditional grey relational analysis on the proximity or similarity among sequences. In addition, a three-dimensional evaluation system of regional GIV is constructed, which provides the practical guidance for the research of regional development strategic planning as well as promotion paths.Originality/valueA comprehensive grey entropy relational model based on traditional grey incidence analysis (GIA) in terms of proximity and similarity is proposed. The three-dimensional evaluation system of China's regional GIV is constructed, which provides a new research perspective for regional innovation evaluation and expands the application scope of grey system theory.
Does the S&P index effect differ between large and small company stocks?
Authors: Biktimirov Ernest N. , Xu Yuanbin 
Published: July 2023

PurposeThe purpose of this study is to compare market reactions to the change in the demand by index funds between large and small company stocks by examining the transition of the S&P 500, S&P 400 MidCap and S&P 600 SmallCap indexes from market capitalization to free-float weighting. This unique information-free event allows not only avoiding confounding information signaling and investor awareness effects but also comparing the effect of the decrease in demand on stocks of different sizes.Design/methodology/approachThis study uses the event study methodology to calculate abnormal returns and trading volume around the full-float adjustment day. It also tests for significant changes in institutional ownership and liquidity. Multivariate regressions are used to examine the relation of liquidity changes and price elasticity of demand to the cumulative abnormal returns around the full-float adjustment day.FindingsThis study finds significant decreases in stock price accompanied with significant increases in trading volume on the full-float adjustment day, and significant gains in quasi-indexer institutional ownership and liquidity. The main finding is that cumulative abnormal returns around the event period are related to changes in the number of quasi-indexer and transient institutional shareholders, not to changes in liquidity or price elasticity of demand.Originality/valueThis study provides the first comprehensive comparison analysis of stock market reactions to the decline in demand between large and small company stocks. As an important implication for future studies of the index effect, changes in institutional ownership should be considered in the analysis.
Economic institutions, political institutions and public debt in Sub-Saharan Africa
Authors: Nutassey Victoria Abena , Nomlala Bomi Cyril , Sibanda Mabutho 
Published: July 2023

PurposeThis study assessed the role of political institutions in the relationship between economic institutions and public debt in Sub-Saharan Africa.Design/methodology/approachBased on data availability, the study was done for 40 Sub-Saharan African countries from 2010 to 2019 employing generalized method of moment.FindingsThe authors documented a negative and significant relationship between economic institutions and public debt as well as a negative and significant effect of political institutions on public debt in SSA. Also, the study recorded that political institutions play a negative and significant role in the economic institutions-public debt nexus in Sub-Saharan Africa. However, a threshold of 3.691 is given when it comes to the role of political institutions in the association between government spending and public debt nexus in SSA.Research limitations/implicationsThe authors failed to take certain indicators of economic institutions, such as freedom to trade internationally, the size of government and legal system and property into consideration.Practical implicationsThe authors suggest that democracy is necessary for boosting economic institutions-induced public debt reduction in SSA.Originality/valueThe novelty of this study is evident in two ways: first, the authors assessed the relationship between economic institutions and public debt in SSA using novel measures such as government integrity, tax burden and government spending from the Heritage Foundation instead of traditional institution measures from World Governance Indicators used by earlier studies. The authors further contribute to literature by being the first to consider the foundational role of political institutions in employing economic institutions to fight high public debt in SSA. Again, the authors included the threshold at which political institutions can cause economic institutions to have a desired impact on public debt in SSA.
Structural transformation and poverty alleviation in Sub-Saharan Africa countries: sectoral value-added analysis
Authors: Enongene Betrand Ewane 
Published: July 2023

PurposeThis study aims to examine the effect of structural transformation on poverty alleviation in Sub-Saharan Africa (SSA) countries with a higher share of services as a percentage of gross domestic product (GDP). The study specifically focuses on the value-added share as a percentage of GDP in the agricultural, manufacturing, industrial, and service sectors using time series data from 1988 to 2019.Design/methodology/approachThe study utilizes the autoregressive distributive lag (ARDL) bound test framework for estimation, based on the conclusions drawn from the augmented Dickey-Fuller and Phillips–Perron unit root tests, which provide evidence of a mixed order of integration.FindingsThe result reveals that agriculture value-added (AVA), manufacturing value-added (MVA), industrial value-added (IVA), and services value-added (SVA) have a positive and significant impact on poverty alleviation in both the short and long run. However, the agriculture sector is found to be more effective in reducing poverty compared to the other sectors examined in this study. Additionally, this study challenges the notion that SSA countries have undergone an immature structural transformation. Instead, it reveals a pattern of stagnant structural transformation, as indicated by the lack of growth in the industrial and manufacturing value-added shares of GDP.Practical implicationsTo enhance productivity and reduce poverty, SSA economies should adopt a development strategy that prioritizes heavy manufacturing and industrial sectors, leading to a transition from the agricultural to the secondary and tertiary sectors.Originality/valueThe study contributes to the emerging literature on structural transformation by investigating which sector is more efficient in reducing poverty in SSA countries, using the value-added share as a percentage of GDP for agricultural, manufacturing, industrial, and service sectors. The study also aims to determine if SSA countries have experienced immature structural transformation due to the growing share in the service sector.
Investment decisions regarding internet financial products considering network externalities: a mixed-method approach
Authors: Kang Weiyao , Yang Mengxi 
Published: July 2023

Purpose This study aims to provide an in-depth understanding of investors’ cognition and decision-making process with regard to internet financial products. The objective is to effectively guide users’ rational investments.Design/methodology/approach First, based on grounded theory, this study develops a tool for measuring users’ perceived value (PV) of internet financial products via in-depth interviews. Then, after comprehensively considering users’ environmental, individual and psychological characteristics, this study proposes a theoretical model of internet financial product investment decisions based on the PV of users. Finally, an empirical study is conducted on 693 valid sample data from e-commerce and online banking financial platforms.Findings The empirical results suggest that network externalities influence users’ financial behavior by herding (HE) (imitating others and discounting their own information) and PV. PV and HE are key factors in users’ investment decisions with regard to internet financial products. Moreover, users’ self-efficacy (SE) and platform type play moderate roles in the influence mechanism.Practical implications The research conclusions provide valuable references for designing financial products and establishing regulatory rules, which will help the internet financial industry to grow soundly and innovatively.Originality/value This study uncovers the mediating effect of HE and PV between network externalities and users’ investment intentions in the context of internet financial products. In addition, the moderating effect of users’ SE and platform types is revealed.
Obstacles and strategies in ecosystem governance: a view from the orchestrator side
Authors: Lechner Christoph , Dexheimer Maximilian , Lang Nikolaus , Wurzer Charline 
Published: July 2023

PurposePlatform ecosystem governance is a decisive issue for orchestrators, as the motivation and behaviors of the complementors in an ecosystem can be distinctly different, shaped by the specific arrangements they have within the ecosystem. However, knowledge about adaptation in the governance of platform ecosystems is quite limited. First, the authors hardly know which obstacles are arising for orchestrators due to typical governance settings and their consequences. Second, the authors know less about governance strategies by orchestrators that help deal with these obstacles.Design/methodology/approachThe authors follow an inductive, multistep case-study-based approach with multiple cases using guidelines proposed by Yin (2018). Based on predefined criteria, the authors selected 41 platform ecosystems with a “hub and spoke” system within and across several industries and collected a wide range of data. The authors conducted 14 interviews with executives of these platform ecosystems to gain further insights, transcribed and/or summarized all interviews, and analyzed the data.FindingsBased on the dataset, the authors identify four significant obstacles and ten strategies of orchestrators in platform ecosystems. This approach allows us to gain insight into innovative approaches orchestrators conduct to cope with these challenges.Originality/valueThe authors already have a broad range of studies on ecosystem governance in the literature. However, research dealing with the dynamics of governance regimes is quite rare. The study examines how orchestrators of platform ecosystems react to emerging obstacles they are confronted with during the evolution of their platform ecosystems. Partly, these strategies might be expected, but mostly they show innovative approaches for handling these obstacles that have not been reported in research so far.
An integrated framework of digital content marketing implementation: an exploration of antecedents, processes, and consequences
Authors: Jami Pour Mona , Karimi Zahra 
Published: July 2023

PurposeDue to the high penetration of social media and mobile devices in the recent decade, especially with the coronavirus, digital media tools have become a priority for marketing managers. Digital content marketing (DCM) is one of the crucial ingredients of the digital marketing strategy of businesses, which proposes value to the audience through brand-related and relevant content. The tourism industry is also trapped in the digital wave and has witnessed fundamental changes in how customers communicate. The growth of investment in DCM in this industry to introduce tourist attractions and acquire tourists calls for more research to explore multiple aspects of these initiatives' implementation. Despite the importance of DCM, there is no clear understanding of its implementation's various components. Therefore, the primary goal of the current study is to design a new comprehensive framework of DCM implementation that integrates its antecedents, process, and consequences in the tourism industry.Design/methodology/approachThe mixed method was applied to achieve the research goal. The initial criteria and main components of the framework were identified with a comprehensive literature review to develop the framework. To enrich the initial criteria, some semi-structured interviews with experts were conducted; then, the extracted criteria and sub-criteria were prioritized and weighted using the quantitative best-worst method (BWM).FindingsThe results indicate that the proposed integrated framework contains three categories of antecedents, processes, and consequences and 12 main concepts. The weights and ranks of the extracted concepts and their sub-criteria are calculated using BWM.Research limitations/implicationsThe proposed framework helps managers have a big picture of the DCM strategy to successfully implement and consider the multiple dimensions of such initiatives. The proposed framework provides actionable insight for digital marketing decision-makers to manage such projects effectively and plan appropriate actions for progress.Originality/valueA review of content marketing reveals that there are few studies conducted that integrate the components of the DCM implementation process, including antecedents, process, and consequences. This research is one of the first in the field of DCM implementation in the tourism industry to fill this theoretical gap. The main contribution of this research is to design a new integrated framework for DCM implementation that offers a holistic view of antecedents, process, and consequences.
Role of the chloride channel blocker in the formation of filtering tract scars after glaucoma surgery in rats
Authors: Jin Yujiao , Jin Weiyi , Sun Qiushuang , Li Nan , Jiang Meiling , Liu Yinfeng , Sun Lixia 
Published: July 2023

AbstractFiltration surgery is commonly performed for glaucoma treatment to reduce intraocular pressure (IOP); however, scarring of the filtering bleb is the main cause of failure. In this study, we evaluated the effects of the chloride channel blocker 5‐nitro‐2‐(3‐phenylpropylamino)benzoic acid (NPPB) on scar formation in filtering blebs. A glaucoma filtering surgery model was generated using Sprague–Dawley rats, divided into the control and NPPB groups receiving injections of different NPPB concentrations. The IOP of all rats decreased 1‐day post‐surgery and gradually increased afterward. However, IOP in rats from the NPPB groups recovered more slowly than that of the control group rats. In addition, the area and survival times of filtering blebs in rats from the NPPB groups were substantially larger and longer than those in the control group. Twenty‐eight days after surgery, the protein and mRNA expression of collagen I, fibronectin and α‐smooth muscle actin in the filtering area of rats from the NPPB groups were significantly lower than that in the control group rats. Collectively, our study demonstrates that NPPB inhibits filtering bleb scar formation, maintains filtering bleb morphology and prolongs filtering bleb survival time by inhibiting the differentiation of conjunctival fibroblasts and extracellular matrix synthesis.
Chinese adolescents' reading engagement profiles and their relations to self‐concept and reading literacy
Authors: Wang Xiaocheng 
Published: July 2023

BackgroundPrevious studies on reading engagement have generally used variable‐centred approaches to examine whole‐sample averages. Few have assumed a person‐centred approach, especially latent profile analysis (LPA), to examine students' reading engagement profiles. Although one study employed LPA to identify the reading engagement profiles of Chinese adolescents, how engagement dimensions combine within individuals was not clear from its results.MethodsThis study used LPA to examine the reading engagement profiles of 12,058 Chinese adolescents based on their patterns of behavioural, cognitive and emotional engagement. Additionally, how profile membership relates to self‐concept and reading literacy was examined.ResultsFour reading engagement profiles were identified: engaged (moderate to high on all three dimensions), moderately engaged (moderate on all three dimensions), disengaged (low on all three dimensions) and moderately cognitively engaged (moderate cognitive engagement/low behavioural and emotional engagement). Students with a higher reading self‐concept were more likely to exhibit a pattern of moderate to high engagement. Students with higher engagement patterns attained higher reading achievement.ConclusionsChinese adolescents showed multiple reading engagement profiles that were differently related to self‐concept and reading literacy. Teachers should be aware of subgroups of students displaying different reading engagement patterns and be able to evaluate and then address them with appropriate instructional practices.
Towards a common framework to support decision‐making in high‐risk, low‐time environments
Authors: Launder David , Penney Greg 
Published: July 2023

AbstractIn a recently published study, we completed a systematic literature review of 10,084 peer reviewed English language studies since 2000 within the context of threat assessment, sense making, and critical decision‐making in police, military, ambulance, and firefighting contexts. The results of our descriptive analysis found that although research into threat assessment and decision‐making has been historically ‘siloed’ from a service context perspective there are nonetheless some common elements that have either independently identified or in some instances coevolved. The insights gained and lessons learned from this vast data pool enabled the enhancement of the urban fire service operational response‐based SPAR decision framework into the Situation, Context, Decision, Plan, Act, Review or SPAR (CD) framework, a true interoperable all hazards and all services decision‐making framework that not only incorporates complexity analysis and contextual factors but is applicable to the full spectrum of emergency management operations. It is hoped that the application of a common framework may facilitate cross industry learnings by applying a more consistent lens for the review of high‐risk, low‐time decisions and the identification of common decision errors and effectiveness (and measurement) of current strategies to improve decision‐making including learning and development and policy and procedure design and implementation. While the SPAR (CD) framework has been developed based on research in high consequence and low time emergency service and military environments, we posit it is equally as applicable in other environments including business contexts and board rooms wherever decisions are required.
Crisis management during the COVID‐19 pandemic: Street food vendors' perspectives from Bangkok
Authors: Zafri Kazi Ziaul , Sigdel Bijay , Bhandari Pratikshya 
Published: July 2023

AbstractIn times of pandemic, today's informal sector's survival depends on the substantial implication of crisis management to reduce unforeseen barriers. This study explores deeper into street food vendors' crisis management practices, moving beyond the crisis's consequences by probing learning experiences throughout the COVID‐19 pandemic. Using interpretative phenomenological analysis (IPA) with 15 street food vendors from Bangkok city, this study identifies internal and external capabilities and internal migration factors in the initial survival stage while productive customer relationships, government guidance, and assistance along with community influence to develop the resilience with the aim of continuing business of street food vending during the crisis. Our findings highlight some predominant factors that can contribute to a theoretical understanding of crisis management for informal microenterprise street food vending, which can advance our conceptual understanding of future crisis preparedness during emergencies with practical implications.