bluuebunny/crossref_metadata_2025 huggingface dataset:
Neural networks for emergent behavior in biological microstructures
Authors: Kumar Manik , Sgarrella Joe , Peco Christian
Published: July 2024

Purpose

This paper develops a neural network surrogate model based on a discrete lattice approach to investigate the influence of complex microstructures on the emergent behavior of biological networks.

Design/methodology/approach

The adaptability of network-forming organisms, such as, slime molds, relies on fluid-to-solid state transitions and dynamic behaviors at the level of the discrete microstructure, which continuum modeling methods struggle to capture effectively. To address this challenge, we present an optimized approach that combines lattice spring modeling with machine learning to capture dynamic behavior and develop nonlinear constitutive relationships.

Findings

This integrated approach allows us to predict the dynamic response of biological materials with heterogeneous microstructures, overcoming the limitations of conventional trial-and-error lattice design. The study investigates the microstructural behavior of biological materials using a neural network-based surrogate model. The results indicate that our surrogate model is effective in capturing the behavior of discrete lattice microstructures in biological materials.

Research limitations/implications

The combination of numerical simulations and machine learning endows simulations of the slime mold Physarum polycephalum with a more accurate description of its emergent behavior and offers a pathway for the development of more effective lattice structures across a wide range of applications.

Originality/value

The novelty of this research lies in integrating lattice spring modeling and machine learning to explore the dynamic behavior of biological materials. This combined approach surpasses conventional methods, providing a more holistic and accurate representation of emergent behaviors in organisms.
Impact of activation energy and cross-diffusion effects on 3D convective rotating nanoliquid flow in a non-Darcy porous medium
Authors: Sivanandam Sivasankaran , Alqurashi Turki J. , Alshehri Hashim M.
Published: July 2024

Purpose

This study aims to investigate numerically the impact of the three-dimensional convective nanoliquid flow on a rotating frame embedded in the non-Darcy porous medium in the presence of activation energy. The cross-diffusion effects, i.e. Soret and Dufour effects, and heat generation are included in the study. The convective heating condition is applied on the bounding surface.

Design/methodology/approach

The control model consisted of a system of partial differential equations (PDE) with boundary constraints. Using suitable similarity transformation, the PDE transformed into an ordinary differential equation and solved numerically by the Runge–Kutta–Fehlberg method. The obtained results of velocity, temperature and solute concentration characteristics plotted to show the impact of the pertinent parameters. The heat and mass transfer rate and skin friction are also calculated.

Findings

It is found that both Biot numbers enhance the heat and mass distribution inside the boundary layer region. The temperature increases by increasing the Dufour number, while concentration decreases by increasing the Dufour number. The heat transfer is increased up to 8.1% in the presence of activation energy parameter (E). But, mass transfer rate declines up to 16.6% in the presence of E.

Practical implications

The applications of combined Dufour and Soret effects are in separation of isotopes in mixture of gases, oil reservoirs and binary alloys solidification. The nanofluid with porous medium can be used in chemical engineering, heat exchangers and nuclear reactor.

Social implications

This study is mainly useful for thermal sciences and chemical engineering.

Originality/value

The uniqueness in this research is the study of the impact of activation energy and cross-diffusion on rotating nanoliquid flow with heat generation and convective heating condition. The obtained results are unique and valuable, and it can be used in various fields of science and technology.
Comparing experts’ and users’ perspectives on the use of password workarounds and the risk of data breaches
Authors: Rooney Michael J , Levy Yair , Li Wei , Kumar Ajoy
Published: July 2024

Purpose

The increased use of Information Systems (IS) as a working tool for employees increases the number of accounts and passwords required. Despite being more aware of password entropy, users still often participate in deviant password behaviors, known as “password workarounds” or “shadow security.” These deviant password behaviors can put individuals and organizations at risk, resulting in a data breach. This paper aims to engage IS users and Subject Matter Experts (SMEs), focused on designing, developing and empirically validating the Password Workaround Cybersecurity Risk Taxonomy (PaWoCyRiT) – a 2x2 taxonomy constructed by aggregated scores of perceived cybersecurity risks from Password Workarounds (PWWAs) techniques and their usage frequency.

Design/methodology/approach

This research study was a developmental design conducted in three phases using qualitative and quantitative methods: (1) A set of 10 PWWAs that were identified from the literature were validated by SMEs along with their perspectives on the PWWAs usage and risk for data breach; (2) A pilot study was conducted to ensure reliability and validity and identify if any measurement issues would have hindered the results and (3) The main study data collection was conducted with a large group of IS users, where also they reported on coworkers' engagement frequencies related to the PWWAs.

Findings

The results indicate that statistically significant differences were found between SMEs and IS users in their aggregated perceptions of risks of the PWWAs in causing a data breach, with IS users perceiving higher risks. Engagement patterns varied between the two groups, as well as factors like years of IS experience, gender and job level had statistically significant differences among groups.

Practical implications

The PaWoCyRiT taxonomy that the we have developed and empirically validated is a handy tool for organizational cyber risk officers. The taxonomy provides organizations with a quantifiable means to assess and ultimately mitigate cybersecurity risks.

Social implications

Passwords have been used for a long time to grant controlled access to classified spaces, electronics, networks and more. However, the dramatic increase in user accounts over the past few decades has exposed the realization that technological measures alone cannot ensure a high level of IS security; this leaves the end-users holding a critical role in protecting their organization and personal information. Thus, the taxonomy that the authors have developed and empirically validated provides broader implications for society, as it assists organizations in all industries with the ability to mitigate the risks of data breaches that can result from PWWAs.

Originality/value

The taxonomy the we have developed and validated, the PaWoCyRiT, provides organizations with insights into password-related risks and behaviors that may lead to data breaches.
AI is not careful: approach to the stock market and preference for AI advisor
Authors: Koo Jieun
Published: July 2024

Purpose

Financial institutions actively seek to leverage the capabilities of artificial intelligence (AI) across diverse operations in the field. Especially, the adoption of AI advisors has a significant impact on trading and investing in the stock market. The purpose of this paper is to test whether AI advisors are less preferred compared to human advisors for investing and whether this algorithm aversion diminishes for trading.

Design/methodology/approach

The four hypotheses regarding the direct and indirect relationships between variables are tested in five experiments that collect data from Prolific.

Findings

The results of the five experiments reveal that, for investing, consumers are less likely to use AI advisors in comparison to human advisors. However, this reluctance to AI advisors decreases for trading. The author identifies the perceived importance of careful decision-making for investing and trading as the psychological mechanism. Specifically, the greater emphasis on careful decision-making in investing, as compared to trading, leads to consumers’ tendency to avoid AI advisors.

Originality/value

This research is the first to investigate whether algorithm aversion varies based on whether one’s approach to the stock market is investing or trading. Furthermore, it contributes to the literature on carefulness by exploring the interaction between a stock market approach and the lay belief that algorithms lack the capability to deliberate carefully.
Exploring new realms or losing touch? Assessing public beliefs about tourism in the metaverse–a big-data approach
Authors: Mahmoud Ali B. , Fuxman Leonora , Asaad Yousra , Solakis Konstantinos
Published: July 2024

Purpose

The Metaverse is rapidly reshaping the understanding of tourism, yet the public perception of this new domain remains largely uncharted empirically. This paper aims to build on the technology acceptance model (TAM) and diffusion of innovations theory (DIT) to fill this gap, offering crucial insights that could inform scholars and practitioners in both the tourism and technology sectors.

Design/methodology/approach

Using a big-data approach, the authors applied machine learning to scrape comments made by social media users on recent popular posts or videos related to tourism in the Metaverse from three prominent social media platforms. The cleaning process narrowed down 15,461 comments to 2,650, which were then analysed using thematic, emotion and sentiment analysis techniques.

Findings

The thematic analysis revealed that virtual tourism evokes a complex range of public beliefs. While many express awe and excitement toward its immersive capabilities, others remain sceptical about authenticity compared to physical travel. Additional themes show people draw comparisons to real-world tourism, discuss technology’s role and note educational value and novelty. However, some comments raise concerns about potential societal harms, exploitation and mental health impacts. Sentiment analysis found over half of the comments positive, though some were negative. Emotion analysis showed contentment, happiness and excitement as most frequent, though sadness, worry and loneliness also featured. Overall, perceptions of Metaverse tourism encompass enthusiasm yet substantial ambivalence.

Originality/value

To the best of the authors’ knowledge, this study is one of the first to comprehensively analyse public discussions on Metaverse tourism. It takes TAM and Rogers’s DIT a step further and provides fresh insights into how these theories can be employed in the emerging field of Metaverse tourism. The themes revealed new conceptual insights into multidimensional factors shaping public beliefs about Metaverse tourism and thus informing scholarly research on virtual interaction and technology acceptance regarding Metaverse tourism. In addition, the results can help tourism providers, platforms and marketers address salient public beliefs and sentiments/attitudes in developing marketing offerings, experiences and communications. Over time, this analysis methodology can be used to track the evolving public perceptions of Metaverse tourism.
Examining the minimal combined effects of gender and minoritized racial/ethnic identity among academic entrepreneurs
Authors: Duval-Couetil Nathalie , Epstein Alanna , Huang-Saad Aileen
Published: July 2024

Purpose

This study examined differences related to gender and racial/ethnic identity among academic researchers participating in the National Science Foundation’s “Innovation-Corps” (NSF I-Corps) entrepreneurship training program. Drawing from prior research in the fields of technology entrepreneurship and science, technology, engineering and mathematics (STEM) education, this study addresses the goal of broadening participation in academic entrepreneurship.

Design/methodology/approach

Using ANOVA and MANOVA analyses, we tested for differences by gender and minoritized racial/ethnic identity for four variables considered pertinent to successful program outcomes: (1) prior entrepreneurial experience, (2) perceptions of instructional climate, (3) quality of project team interactions and (4) future entrepreneurial intention. The sample includes faculty (n = 434) and graduate students (n = 406) who completed pre- and post-course surveys related to a seven-week nationwide training program.

Findings

The findings show that group differences based on minoritized racial/ethnic identity compared with majority group identity were largely not evident. Previous research findings were replicated for only one variable, indicating that women report lower amounts of total prior entrepreneurial experience than men, but no gender differences were found for other study variables.

Originality/value

Our analyses respond to repeated calls for research in the fields of entrepreneurship and STEM education to simultaneously examine intersecting minoritized and/or under-represented social identities to inform recruitment and retention efforts. The unique and large I-Corps national dataset offered the statistical power to quantitatively test for differences between identity groups. We discuss the implications of the inconsistencies in our analyses with prior findings, such as the need to consider selection bias.
Flexicurity and employment inflows in the EU28 countries: a panel data analysis
Authors: Ferent-Pipas Marina
Published: July 2024

Purpose

This paper examines the relationship between flexicurity and employment inflows in the EU28 countries over the 2007–2019 period. Flexicurity is defined as the mix of flexible contractual arrangements, social security systems, active labor market policies and lifelong learning strategies.

Design/methodology/approach

Using two-way fixed effects two-stage least squares, we estimate the employment inflows as a function of an equal-weighted flexicurity composite indicator and other labor market, economic and business environment characteristics. To ensure the robustness of results, in additional specifications, we test the sensitivity of the flexicurity’s coefficient to: (1) the change of instruments; (2) the removal of different non-core variables and (3) the consideration of recessionary periods European regions. In addition, we estimate regressions with separate flexicurity components and with differently constructed flexicurity indices.

Findings

In all the estimations, increased flexicurity efforts are positively related to employment inflows. Increased flexicurity efforts benefit Eastern European countries more than the Northern and Anglo-Saxon groups. Not only a synergistic policy action that uses an equal combination of the four pillars of flexicurity has a positive impact on the employment inflow rate. Strategies that give more weight to the formation of skills seem to favor the labor market reinsertion most.

Originality/value

To our knowledge, this is the first comprehensive study in the flexicurity–employment inflows literature since it: (1) follows all the European Union countries over more than a decade; (2) brings some tentative findings on the socio-cultural moderation of flexicurity’s impact on employment inflows and (3) explores different country-level flexicurity indices.
Digitisation of franchising supply chain impact on franchisor performance: a longitudinal case study of a coffee retail chain
Authors: Vlachos Ilias , Zisimopoulos Apostolos , Tsoulfas Giannis T.
Published: July 2024

Purpose

Franchising contributes significantly to national economies but is overlooked in supply chain literature. This study aims to contribute to the franchising and supply chain literature by examining how the digitisation of the franchising supply chain improves firm performance.

Design/methodology/approach

A single longitudinal case study approach was selected to investigate how a leading coffee brand digitised its franchising supply chain. Resource constraints theory and agency theory provide the theoretical framework. Data collection included both qualitative and quantitative data. Over two years, chronological, supply chain and thematic analyses and interpretation uncovered important findings and developed four research propositions.

Findings

Findings show that digitisation can impact performance in eight areas: Resource management, Resource constraints, Efficiency, Business-to-Business (B2B)/Business-To-Customer (B2C) links, Rapid expansion, Risk mitigation, Information asymmetries and Faster supply chain responses. Four digital technologies (advanced analytics, Internet of Things, Autonomous Mobile Robots and B2B e-shop) impacted three franchisor functions (Machine maintenance, Inventory management, Franchisee and end-customer relations). The study develops four research propositions on how digitisation impacts performance in terms of (1) resource monitoring and control, (2) learning and knowledge creation, (3) coordination and collaboration and (4) competition.

Originality/value

Franchising supply chains have been overlooked in the literature; this study provides insights into using resource constraints theory and agency theory complementarily to explain supply chain digitisation and provides actionable practical implications for selecting, implementing and continuously improving Industry 4.0 technologies in franchising supply chains.
Transformative learning with ChatGPT: analyzing adoption trends and implications for business management students in India
Authors: Sudan Tapas , Hans Arjun , Taggar Rashi
Published: July 2024

Purpose

The intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on the behavioral intention to use ChatGPT.

Design/methodology/approach

While evaluating ChatGPT's adoption dynamics, this study analyses the UTAUT2 core factors and perceived benefits. Real-time data from 638 business and management students in India were collected through purposive sampling and a cross-sectional survey. An in-depth examination using IBM SPSS and AMOS revealed the patterns that regulate ChatGPT reception in educational settings.

Findings

Habit emerges as a powerful predictor, which aligns with the Habit Loop Theory's cues, routine and rewards. Perceived benefits significantly influence adoption, and traditional factors like performance expectancy and social influence exert no influence. The insignificance of effort expectancy challenges conventional understanding, unveiling novel aspects of student tech adoption.

Social implications

There is a need for guidelines to ensure fair and responsible use of ChatGPT among students. While ChatGPT presents advantages like task automation and personalized learning, integrating it into the existing education system requires careful planning to harness its benefits effectively.

Originality/value

With the recent introduction of Generative-AI tools, understanding student acceptance and application is essential. This research sheds light on this emerging technology, emphasizing the importance of analyzing technology acceptance for its successful adoption.
Leadership, knowledge dynamics and dual-path innovation: unravelling the synergy in Pakistan’s manufacturing sector
Authors: Waseel Abdul Hakeem , Zhang Jianhua , Zia Umair , Mohsin Malik Muhammad , Hussain Sajjad
Published: July 2024

Purpose

With ambidextrous innovation (AI) gaining paramount importance in the manufacturing sectors of emerging markets, this research aim to explore how leadership and management support (LMS) amplify this type of innovation by leveraging knowledge sources (KS). The study further probes the knowledge management capability (KMC) as moderating effect between KS and AI.

Design/methodology/approach

Using the convenient random sampling technique of a sample of 340 professionals within Pakistan’s manufacturing realm, data was collated via a structured questionnaire. The subsequent analysis harnessed the power of the variance-based partial least squares structural equation modelling approach.

Findings

This research underscores the pivotal role of LMS in elevating both facets of AI i.e. exploitative innovation (ERI) and exploratory innovation (ERT). KS emerge as a vital intermediary factor that bridges LMS with both types of innovation. Notably, the potency of KS in driving AI is significantly boosted by an organization’s KMC.

Originality/value

This study fills existing gaps in contemporary research by offering a nuanced perspective on how LMS enrich an organization’s dual innovation spectrum via KS. It sheds light on the symbiotic interplay of leadership, knowledge flows and innovation in Pakistan’s burgeoning manufacturing sector.
One psychopathic route to an unsuccessful life. Psychopathy and life outcomes in Generation 3 of the Cambridge study in delinquent development
Authors: Zara Georgia , Bergstrøm Henriette , Farrington David P.
Published: July 2024

Purpose

This study aims to examine whether psychopathic traits are associated with “unsuccessful” life outcomes in a community sample. While it is not easy to define what a successful life is, as it varies by context and developmental stage, there is a consensus in psychological research on what constitutes an unsuccessful life, as measured by the revised Unsuccessful Life Scale. This concept of unsuccessful life encompasses areas such as family and health, alcohol and drug use and work and job satisfaction, which, when compromised, are essential components of an unsuccessful 21st-century life.

Design/methodology/approach

The study continues the work carried out in the prospective longitudinal Cambridge Study in Delinquent Development by including the offspring (n = 551 G3 females and males) of the original 411 G2 males.

Findings

A small proportion of G3 individuals (6.5%, n = 36) were having an unsuccessful life, and 23.3% (n = 124) of them were exhibiting a high level of psychopathic traits as measured by the PCL:SV. The results suggest that some psychopathic traits are an integral part of an unsuccessful mix. For instance, for both males and females, drug use and physical fights were significantly associated with psychopathic traits. However, there were some differences, where a wider range of unsuccessful outcomes was associated with psychopathic traits in males (e.g. unsatisfactory accommodation) compared to females (e.g. unsatisfactory intimate relationships).

Originality/value

It seems that the costs of psychopathic traits outweigh the benefits when it comes to success in life. The implications of these findings are discussed.
Navigating ChatGPT: catalyst or challenge for Indonesian youth in digital entrepreneurship?
Authors: Herani Rina , Angela Jovita
Published: July 2024

Purpose

This study aims to explore both the drivers (performance expectancy and perceived usefulness of ChatGPT) and the barrier (effort expectancy) that Indonesian youth encounter when adopting generative AI technology, such as ChatGPT, as they pursue digital entrepreneurship.

Design/methodology/approach

This study utilizes Hayes' Process Model to evaluate the proposed hypotheses through survey data collected from 518 Indonesian youth.

Findings

This study's findings highlight a paradoxical relationship that emerges when effort expectancy intersects with performance expectancy and perceived usefulness of ChatGPT. Specifically, we discovered that when young individuals perceive the adoption of generative AI technology as requiring significant effort, their motivation to engage in digital entrepreneurship is significantly enhanced if they also view the tool as highly useful and beneficial to their future business endeavors.

Practical implications

The findings provide valuable insights for educators and policymakers focused on advancing digital entrepreneurship in developing nations through the integration of generative AI technology.

Originality/value

Our study enriches an underexplored niche within the field of entrepreneurship by examining the intersection of Indonesian youth, generative AI technology and digital entrepreneurship. By incorporating the Expectancy-Value Theory, it brings a fresh perspective to the study of paradoxical relationships in contemporary research in this domain.
Predicting stock market crashes in MENA regions: study based on the irrationality of investor behavior and the NARX model
Authors: Ben Yaala Sirine , Henchiri Jamel Eddine
Published: July 2024

Purpose

This study aims to predict stock market crises in the Middle East North Africa (MENA) regions by leveraging the nonlinear autoregressive neural network with exogenous inputs (NARX) model with two measures of investor sentiment: the ARMS indicator and Google Trends' search volume of positive and negative words.

Design/methodology/approach

Employing a novel approach, this study utilizes the NARX model with ten neurons in the hidden layer and the Levenberg–Marquardt training algorithm. It evaluates model performance through learning, validation and test errors, as well as correlation analysis between predicted and actual crises.

Findings

The NARX model, incorporating investor sentiment, has proven to be a reliable tool for forecasting crises, helping market participants understand data complexity and avoid crisis consequences. The divergence in how investors interpret market news, with some focusing solely on negative developments and others valuing positive outcomes, highlights the predictive nature of the optimistic and pessimistic sentiments captured by the model.

Research limitations/implications

This study advocates for integrating behavioral approaches into stock market crisis prediction, highlighting the significance of investor sentiment and deep learning. It advances crisis mechanism understanding and opens avenues in behavioral finance. Integration of these findings into finance and economics education could enhance students' risk understanding and mitigation strategies.

Practical implications

The adoption of NARX models, incorporating investor sentiment, empowers market participants to proactively manage crises, adjust strategies, enhance asset protection and make informed decisions. These models enable them to minimize losses, maximize returns and diversify portfolios effectively in response to market fluctuations. These insights also guide policymakers such as governments, regulatory institutions and financial organizations in formulating crisis prevention and mitigation policies, bolstering economic and financial stability.

Social implications

This research reduces economic uncertainty, safeguards individuals' savings and investments and promotes a stable financial climate.

Originality/value

This study is one of the first attempts to demonstrate the detection and prediction of stock market crises, specifically in the MENA stock market, using the NARX model. It offers a robust forecasting model using machine learning and investor sentiment, providing decision-making support for investment strategies and policy development aimed at enhancing financial and economic stability.
Illuminating the mechanisms of trust building for inter-organisational relationships within humanitarian operations
Authors: Prakash Chandra
Published: July 2024

Purpose

To help alleviate the immense suffering caused by humanitarian crises worldwide, organisations are forming relationships for effective coordination and resource sharing. However, organisations can struggle to build trust because of the uncertain context, varying institutional mandates and socio-cultural differences. Thus, this paper aims to better understand how humanitarian groups can leverage formal mechanisms to produce greater trust.

Design/methodology/approach

This paper adopts a logical–positivist research paradigm to formulate and test its hypotheses. This paper answered this study’s research question using structural equation modelling from survey data of 180 humanitarian managers.

Findings

In inter-organisational humanitarian relationships, formal mechanisms indirectly foster trust through two mediators: distributive justice and information sharing.

Research limitations/implications

This research presents the perspective of only one partner in inter-organisational relationships. Moreover, the operationalisations of formal mechanisms and trust were not comprehensive (i.e. only contracts and integrity-based trust, respectively).

Originality/value

To the best of the author’s knowledge, this research is a first attempt to empirically link the widely discussed idea of formal mechanisms, distributive justice, information sharing and trust in inter-organisational humanitarian relationships. Further, this research is the first attempt to present and empirically validate a theoretical model that addresses how formal mechanisms foster trust in inter-organisational relationships.
The realization and transformation law of the boundary-spanning technological innovation of manufacturing enterprises based on the framework of “internal reconfiguration – networking capability – BSTI”
Authors: Wang Xueyuan , Huang Jiasai
Published: July 2024

Purpose

This paper deconstructs the boundary-spanning technology innovation (BSTI) of manufacturing enterprises based on dual-meta and dual-degree perspective. We aim to explore the impact of differentiated internal reconfigurations on networking capabilities and, thus, different BSTIs and then reveal the optimal transformation paths of different BSTIs.

Design/methodology/approach

We use fuzzy-set qualitative comparative analysis (fsQCA) to conduct an empirical study on 128 manufacturing enterprises in China to reveal the heterogeneous combinatorial path of internal reconfigurations on BSTI through the networking capability, and the case analysis in specific technology fields of Haier, Gree, Midea and TBEA is used to verify our results. The transfer entropy (TE) method is used to reveal the best transformation paths of different BSTIs.

Findings

The results show that the manufacturing enterprises follow the “I,” “T,” “⊥” and “|” reconfiguration logic to effectively realize multiple boundaries breakthrough (MBB), tick boundaries breakthrough (TBB), multiple boundaries reproducing (MBR) and tick boundaries reproducing (TBR) BSTI, respectively. The BSTI has two adjacent transformations named “dual-meta transformations” and “dual-degree transformations.” Nonadjacent transformations follow the “clockwise” transformation law. In “quality transformation,” “degree” transforms first and then “meta” follows, while in “feature transformation,” “meta” transforms first and then degree follows.

Originality/value

Firstly, the scientific classification of BSTI is carried out to guide enterprises to carry out accurate BSTI. Secondly, the “internal reconfiguration-networking capability-BSTI” paths of manufacturing enterprises are explored. Finally, the different laws of different BSTIs’ transformations are revealed.
How do green bonds promote common prosperity? Evidence from Chinese prefecture-level cities
Authors: Liu Yang , Dong Kangyin , Wang Kun , Fu Xiaowen , Taghizadeh-Hesary Farhad
Published: July 2024

Purpose

The purpose of this study is to examine the impact of green bonds on common prosperity in China. Green bonds have gained significant attention as a means to address financial challenges and promote environmental protection. This research aims to investigate the influence of green bonds on common prosperity by utilizing the system-generalized method of moments (SYS-GMM) and analyzing panel data from prefecture-level cities. The study also explores the theoretical mechanisms and heterogeneous relationships between green bonds and common prosperity, providing valuable guidance for advancing economic and social well-being in China.

Design/methodology/approach

This study employs a system-generalized method of moments (SYS-GMM) as the methodology to investigate the influence of green bonds on common prosperity in China. Panel data from prefecture-level cities for the period 2014 to 2020 are utilized for analysis. The SYS-GMM approach allows for the examination of dynamic relationships and control of endogeneity issues. By utilizing this methodology, the study aims to provide robust and reliable findings on the impact of green bonds on common prosperity, considering the specific context of China's ecological civilization development and financial challenges faced by energy-saving and environmental protection enterprises.

Findings

The findings of this research indicate several important outcomes. Firstly, common prosperity in China experienced substantial growth between 2014 and 2020. Secondly, green bonds have demonstrated a clear and positive impact on common prosperity. They contribute to the enhancement of common prosperity by driving industrial structure upgrading and fostering green technology innovation. Lastly, the study reveals that the positive influence of green bonds on common prosperity is particularly pronounced in the western region of China. These findings highlight the significance of green bonds in promoting sustainable economic development and societal well-being.

Originality/value

This study contributes to the existing literature by examining the impact of green bonds on common prosperity in China, utilizing the system-generalized method of moments (SYS-GMM) and panel data analysis. The research not only adds to the understanding of the relationship between green bonds and economic well-being but also provides insights into the theoretical mechanisms and heterogeneous relationships involved. The findings showcase the positive influence of green bonds on common prosperity, emphasizing their role in addressing financial challenges, promoting environmental protection, and driving sustainable development. The study's conclusions offer valuable guidance for policymakers, financial institutions, and stakeholders in advancing common prosperity in China.
Understanding the switching intention to virtual streamers in live streaming commerce: innovation resistances, shopping motivations and personalities
Authors: Shao Zhucheng
Published: July 2024

Purpose

The rise of virtual streamers in live streaming commerce has gained momentum, driven by the increasing prevalence of human–computer interactivity and artificial intelligence. However, achieving its broader adoption necessitates a comprehensive understanding of consumers' intention to switch from conventional human streamers to virtual streamer services as alternatives. To bridge this knowledge gap, this study endeavours to introduce and substantiate an asymmetric model incorporating innovation barriers, shopping motivations and personalities, shedding light on consumers' intention to switch.

Design/methodology/approach

An online survey was conducted in the United Kingdom and analysed using a comprehensive approach that integrates Necessary Conditions Analysis (NCA), Artificial Neural Networks (ANNs) and fuzzy-set Qualitative Comparative Analysis (fsQCA).

Findings

The results unveiled six configurations of arrangements, each of them characterised by a unique combination of causation.

Originality/value

In knowledge, this study presents a significant contribution by revealing both the determinants that stimulate or hamper the desire to switch based on consumer-centric perspectives. In practice, this study is critical for helping practitioners overcome difficulties related to adoption and make educated judgements when promoting virtual streamers and developing marketing strategies in live streaming commerce.
Employee performance under tension: the influence of employee creativity, paradox mindset, and psychological empowerment
Authors: Ngo Liem Viet , La Duc Anh , Surachartkumtonkun Jiraporn , Nguyen Thu Ha , Vo Duc Thanh , Phan Minh-Thu Thi
Published: July 2024

Purpose

Frontline employees frequently experience tension at work. Based on paradox theory, this study investigates why and when tension can result in positive performance outcomes and for whom tension can enhance creativity.

Design/methodology/approach

We employed a time-lagged survey design to collect data in two waves with a four-week interval between waves. The questionnaire was distributed to frontline employees (i.e. doctors and nurses) serving in one public hospital in Ho Chi Minh City. The final sample included 216 front-line employees.

Findings

The study found that tension can promote employee performance through creativity. Employees with high paradox mindset levels especially tend to be more creative when experiencing tension. However, our findings did not support the idea that frontline employees who have been psychologically empowered tend to turn creative ideas into real practices and result in better employee performance.

Originality/value

The study advanced knowledge of the effect tension has on employee performance by investigating the mechanism through which experiencing tension can ultimately promote employee performance.
Social and environmental reporting in China: an examination of local political and economic influences
Authors: Qian Wei , Tilt Carol , Zhu Ping
Published: July 2024

Purpose

This paper aims to examine the role of local/provincial government in influencing corporate social and environmental reporting (CSER) in China, and more specifically, how the underlying economic and political factors associated with local government have influenced the quality of CSER.

Design/methodology/approach

The authors used 234 environmentally sensitive companies listed on the Shanghai and Shenzhen Stock Exchanges during 2013 and 2015 as the research sample to test the relationship between CSER and local government’s political connection and economic prioritisation and the potential mediating effect of local economic prioritisation.

Findings

The analysis provides evidence that local/provincial government’s political geographical connectedness with the central government has directly and positively influenced the level of CSER, while local prioritisation of economic development has a direct but negative effect on CSER in China. In addition, local/provincial prioritisation of economic development has mediated the relationship between local–central political geographical connectedness and CSER.

Practical implications

While local/provincial governments are heavily influenced by the coercive pressure from the central government, they also act in their own political and economic interests in overseeing CSER at the local level. This study raises the question about the effectiveness of the top-down approach to improving CSER in China and suggests that the central government may need to focus more on coordinating and harmonising different local/provincial governments’ interests to enable achieving a common sustainability goal.

Originality/value

The authors provide evidence revealing how the economic and political contexts of local government have played a significant role in shaping CSER in China. More specifically, this paper addresses a gap in the literature by highlighting the importance of local government oversight power for CSER development and how such oversight is determined by local prioritisation of economic development and political geographical connectedness of local and central governments.
Environmental impact of quarrying on physicochemical properties of surface water in Ebonyi State Nigeria
Authors: Okafor Odera Chukwumaijem , Njoku Chima
Published: July 2024

Purpose

Environmental pollution has increased as a result of modern settlements' expanding demand and rapid population growth. In Ebonyi State, Nigeria, quarrying is one of the activities that has an impact on the environment and ecosystem. The aim of the study is to assess stream water’s quality in order to ascertain how quarry operations affect the streams’ water quality. The present study investigated the environmental impact of quarrying on the physicochemical properties of surface water in Ebonyi State, Nigeria.

Design/methodology/approach

A total of 288 surface water samples were taken in 2018, 2019 and 2020 from quarry locations and a Control location for the determination of physicochemical properties and heavy metal contents using standard analytical methods. Datasets were analysed using Fisher’s significance least difference (F-LSD) at the 0.05 probability level.

Findings

This study discovered that surface waters around quarries are severely polluted, according to the results of the physico-chemical and heavy metal contents of the surface waters. Most of the physical and chemical properties of the water downstream of the Ishiagu, Umuoghara and Ngbo did not meet World Health Organisation (WHO) standards, such as colour and pH. The heavy metal levels in the Ishiagu, Umuoghara and Ngbo streams were above WHO criteria for Pb, Cd and Fe. The results point to the obvious conclusion, without prejudice to other unexplained factors that the pollution is most likely the result of quarry contamination. Strict measures should be taken to regularly monitor the water quality of the streams.

Originality/value

This study focused on the assessment of physicochemical properties using standard analytical methods to evaluate the environmental impact of quarrying on surface water qualities. The study used the World Health Organisation (WHO, 2011) water guideline as a standard to compare with the study dataset and control measures.
Assessing firm performance in digital transformation: a preliminary analysis using financial indicators
Authors: Huang Cheng-Kui , Cheng Yu-Hsin
Published: July 2024

Purpose

Digital transformation (DT) has great potential to improve operations and stimulate business growth. It has attracted widespread attention from businesses around the world. However, firm performance in DT implementation (DTI) cannot be neglected. This study examines the benefits and costs of DT and its effects on operations and financial performance of DT.

Design/methodology/approach

Based on the financial report data from S&P 500 firms, we measure the financial performance, productivity and market value of DTI with a baseline in 2020. In addition, we collect secondary data to construct linear regression models for three dummy variables, including DT adopters, first movers and better performers.

Findings

Empirical results demonstrate that digitally transformed firms are positively correlated with business performance, while the performance among first movers has a partially positive impact. DT has also had a significant impact on long-term performance as shown by our long-term observations. Empirical findings indicate that DT has varying impacts on organizational performance in different dimensions and provides DT target-setting guidance to enterprises.

Originality/value

There are no studies so far that could proffer certain evidence to reveal the influence of DTI on firm performance. Such evidence is necessary for managers to convince their investors and stakeholders to believe that DTI can create new revenue for enterprises.
Sustainability communication in marketing: a literature review
Authors: Braga Luiza Dazzi , Tardin Matheus Grage , Perin Marcelo Gattermann , Boaventura Patricia
Published: July 2024

Purpose

This study aims to explore the foundations and current research streams of sustainability communication (SC) within the marketing field through a comprehensive analysis of the existing literature. Furthermore, it identifies promising areas, gaps, and guides for future contributions in SC literature.

Design/methodology/approach

This study relies on a sample of 103 articles published in high-ranked marketing journals. Through co-citation and qualitative thematic analyses, it examines a network over the foundations and central themes in current literature.

Findings

In the marketing field, the foundations of SC rest on institutional and stakeholder theories, corporate social responsibility (CSR) communication and its effectiveness, green advertising, ethical consumerism and marketing strategies, and social marketing for sustainable consumption. Additionally, the analysis reveals four core current themes: reporting sustainability, sustainability advertising, consumer reactions, and promoting pro-sustainable behaviour.

Research limitations/implications

This paper defines the foundations and boundaries of SC in marketing based on a comprehensive evaluation of existing research. By doing so, it offers a valuable reference for future research, enabling scholars to understand better the past and current state of SC in marketing and to identify areas for further investigation.

Practical implications

Businesses and marketers can use the findings to develop more effective SC strategies and to focus on the main topics that require their attention.

Social implications

This research is of societal importance because it deepens our understanding of SC in marketing. It illuminates uncharted territory and helps decision-makers across sectors create a more sustainable future. In essence, this research enriches society by promoting sustainability awareness and guiding the development of practices that emphasize the value of SC.

Originality/value

This study advances previous literature reviews on SC in the marketing field by providing a roadmap for researchers to delve deeper and contribute to the field of SC in marketing, advancing our understanding of the importance of organizations effectively communicating their sustainability strategies to stakeholders.
Assessing current maternity/nursing sports bras and providing recommendations for future product development
Authors: Reeves Katie , James Ruth M. , Griggs Katy E. , Mears Aimée C.
Published: July 2024

Purpose

Many pregnant and post-natal women do not meet physical activity (PA) guidelines. One barrier to PA for these women is finding suitable sports bras because of the numerous changes the breasts undergo. This study aims to assess current maternity/nursing sports bras in terms of purchasing activity, likes and limitations of products and determine the essential characteristics and features required for future product developments.

Design/methodology/approach

A mixed-methods deductive sequential approach was taken using an online questionnaire and in-person focus group interviews. A total of 308 participants who were pregnant, had given birth within the last 12 months or were nursing at the time of data collection completed the questionnaire, and 13 participants also took part in focus group interviews.

Findings

Only 15% of maternity/nursing sports bra purchasers found exactly what they wanted with most problems relating to support, design and fit. Support and comfort were the most important characteristics with 94% and 98% of participants rating them as very important or absolutely essential. Easy nursing access, adjustability, product longevity and value and availability, in terms of where products can be purchased and sizing range, must also be considered for future products to meet user groups’ needs and reduce barriers to PA.

Originality/value

This study investigates the requirements and preferences of maternity/nursing sports bras for both pregnant and post-natal women, including an assessment of a range of commercially available products. These findings provide important implications for future product developments.