Awa Traoré and Simplice Asongu
A promising solution to meet the challenge of sustainability and ensure the protection of the environment consists in acting considerably on the adoption and use of new…
Abstract
Purpose
A promising solution to meet the challenge of sustainability and ensure the protection of the environment consists in acting considerably on the adoption and use of new information and communication technologies. The latter can act on the protection of the environment; completely change manufacturing processes into energy-efficient, eco-friendly techniques or influence institutions and governance. The article attempts to cover shortcomings in the literature by providing a couple of theoretical frameworks and grounded empirical proofs for the dissemination of green technologies and the interaction of the latter with institutional quality.
Design/methodology/approach
The sample is made up of 43 African countries covering the period 2000–2020 and a panel VAR modeling approach is employed.
Findings
Our results show that an attenuation of CO2 emissions amplifies the diffusion of digital technologies (mobile telephones and Internet). Efficiency in the institutional quality of African countries is mandatory for environmental preservation. Moreover, the provision of a favorable institutional framework in favor of renewable energy helps to stimulate environmental performance in African states.
Originality/value
This study complements the extant literature by assessing nexuses between green technology and CO2 emissions in environmental sustainability.
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Kunio Shirahada and Yixin Zhang
This study aims to identify the counterproductive knowledge behavior (CKB) of volunteers in nonprofit organizations and its influencing factors, based on the theories of planned…
Abstract
Purpose
This study aims to identify the counterproductive knowledge behavior (CKB) of volunteers in nonprofit organizations and its influencing factors, based on the theories of planned behavior and well-being.
Design/methodology/approach
An online survey was used to collect 496 valid responses. A structural equation model was constructed, and the relationships among the constructs were estimated via the maximum likelihood method. To analyze the direct and indirect effects, 2,000 bootstrapping runs were conducted. A Kruskal-Wallis test was also conducted to analyze the relationship between the variables.
Findings
A combination of organizational factors and individual attitudes and perceptions can be used to explain CKB. Insecurity about knowledge sharing had the greatest impact on CKB. A competitive organizational norm induced CKB while a knowledge-sharing organizational norm did not have a significant impact. Further, the more self-determined the volunteer activity was, the more the CKB was suppressed. However, well-being did not have a significant direct effect. Volunteers with high levels of well-being and self-determination had significantly lower levels of insecurity about knowledge sharing compared to those who did not.
Practical implications
Well-being arising from volunteering did not directly suppress CKB. To improve organizational efficiency by reducing CKB, nonprofit organization managers should provide intrinsically motivating tasks and interact with the volunteers.
Originality/value
There is a lack of empirical research on CKB in volunteer organizations; therefore, the authors propose a new approach to knowledge management in volunteer activities.
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This paper explores whether fintech paves the way for the transition to carbon neutrality in the context of China’s climate policy uncertainty (CCPU) and the influence of the…
Abstract
Purpose
This paper explores whether fintech paves the way for the transition to carbon neutrality in the context of China’s climate policy uncertainty (CCPU) and the influence of the ocean carbon sink market.
Design/methodology/approach
We apply a novel wavelet analysis technique to investigate the time-frequency dependence between the CCPU index, the CSI (China Securities Index) Fintech Theme Index (CFTI) and the Carbon Neutral Concept Index (CNCI).
Findings
The empirical results show that CCPU and CFTI have a detrimental effect on CNCI in high-frequency bands. Furthermore, in low-frequency domains, the development of CFTI can effectively promote the realization of carbon neutrality.
Practical implications
Our findings show that information from the CCPU and CFTI can be utilized to forecast the movement of CNCI. Therefore, the government should strike a balance between fintech development and environmental regulation and, hence, promote the use of renewable energy to reduce carbon emissions, facilitating the orderly and regular development of the ocean carbon sink market.
Originality/value
The development of high-quality fintech and positive climate policy reforms are crucial for achieving carbon neutrality targets and promoting the growth of the marine carbon sink market.
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The paper aims to contribute to the broader literature on just transition by examining the intersection of technology and justice, and identifying opportunities for bridging the…
Abstract
Purpose
The paper aims to contribute to the broader literature on just transition by examining the intersection of technology and justice, and identifying opportunities for bridging the gap between theory and practice. The work seeks to emphasize the importance of transformative change, which ensures that no individual, community or sector is left behind in the transition towards a sustainable future, both on a global and local scale.
Design/methodology/approach
The paper explores the potential for linking justice to the ongoing technological transition, focusing on its impacts on climate and sustainability. Drawing on various sociological, environmental and technological studies, this work examines the intersections between justice and technological change. Through a qualitative analysis of case studies and a review of literature, the article offers insights and recommendations for policymakers, practitioners and scholars involved in the pursuit of a sustainable and equitable future.
Findings
The paper concludes that balancing environmental, social and economic goals is necessary on a large scale within the framework of a “just transition”, in order to ensure that no individual, community or sector is left behind in the path to a sustainable future. This involves reflecting on sensitive issues such as competition, intellectual property, market openness, liability and fighting against inequalities. Additionally, it requires considering smart and welfare policies from a multilevel perspective.
Originality/value
The originality of this work lies in its contribution to advancing the understanding of the limitations of a technology-centric approach to climate action and the need for systemic changes. The paper emphasizes the importance of addressing social equity, policy reform and collective action in conjunction with technological transition to achieve a sustainable future. It highlights the risks of overlooking the systemic drivers of the climate crisis, such as unsustainable consumption patterns and reliance on fossil fuels, while pursuing technological solutions. Furthermore, the work emphasizes the relevance of the Sustainable Development Goals of Agenda 2030 in guiding a just transition towards sustainability.
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Yin Kedong, Zhe Liu, Caixia Zhang, Shan Huang, Junchao Li, Lingyun Lv, Xiaqing Su and Runchuan Zhang
In recent years, China's marine industry has maintained rapid growth in general, and marine-related economic activities have continued to improve. The purpose of this research is…
Abstract
Purpose
In recent years, China's marine industry has maintained rapid growth in general, and marine-related economic activities have continued to improve. The purpose of this research is to analyze the basic situation of China's marine economy development, identify the problems therein, forecast development trends and propose policy recommendations accordingly.
Design/methodology/approach
This research conducts a comprehensive and detailed analysis of the development of China's marine economy with rich data in diversified aspects. The current situation of China's marine economy development is analyzed from the perspective of scale and structure, and the external and internal development environment of China's marine economy is discussed. With the application of measurement and prediction method such as trend extrapolation, exponential smoothing, grey forecasting and neural network method, the future situation of China's marine economy development is forecasted.
Findings
In a complex environment where uncertainties at home and abroad have increased significantly, China's marine economy development suffers tremendous downward pressure in recent years. As China has achieved major achievements in the prevention and control of the COVID-19 epidemic, the marine economy development will gradually return to normal. It is estimated that the gross marine production value in 2022 will exceed 10 trillion yuan. China's marine economy will continue to maintain a steady growth trend in the future, and its development prospects will remain promising.
Originality/value
This research explores the current situation and trends of China's marine economy development and puts forward policy recommendations to promote the steady and health development of China's marine economy accordingly.
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Yanhao Sun, Tao Zhang, Shuxin Ding, Zhiming Yuan and Shengliang Yang
In order to solve the problem of inaccurate calculation of index weights, subjectivity and uncertainty of index assessment in the risk assessment process, this study aims to…
Abstract
Purpose
In order to solve the problem of inaccurate calculation of index weights, subjectivity and uncertainty of index assessment in the risk assessment process, this study aims to propose a scientific and reasonable centralized traffic control (CTC) system risk assessment method.
Design/methodology/approach
First, system-theoretic process analysis (STPA) is used to conduct risk analysis on the CTC system and constructs risk assessment indexes based on this analysis. Then, to enhance the accuracy of weight calculation, the fuzzy analytical hierarchy process (FAHP), fuzzy decision-making trial and evaluation laboratory (FDEMATEL) and entropy weight method are employed to calculate the subjective weight, relative weight and objective weight of each index. These three types of weights are combined using game theory to obtain the combined weight for each index. To reduce subjectivity and uncertainty in the assessment process, the backward cloud generator method is utilized to obtain the numerical character (NC) of the cloud model for each index. The NCs of the indexes are then weighted to derive the comprehensive cloud for risk assessment of the CTC system. This cloud model is used to obtain the CTC system's comprehensive risk assessment. The model's similarity measurement method gauges the likeness between the comprehensive risk assessment cloud and the risk standard cloud. Finally, this process yields the risk assessment results for the CTC system.
Findings
The cloud model can handle the subjectivity and fuzziness in the risk assessment process well. The cloud model-based risk assessment method was applied to the CTC system risk assessment of a railway group and achieved good results.
Originality/value
This study provides a cloud model-based method for risk assessment of CTC systems, which accurately calculates the weight of risk indexes and uses cloud models to reduce uncertainty and subjectivity in the assessment, achieving effective risk assessment of CTC systems. It can provide a reference and theoretical basis for risk management of the CTC system.
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Daniel Belanche, Marta Flavián and Sergio Ibáñez-Sánchez
The purpose of this study is to analyze how positive behaviors toward influencers (customer interaction) and promoted products (looking for product information) can be achieved…
Abstract
Purpose
The purpose of this study is to analyze how positive behaviors toward influencers (customer interaction) and promoted products (looking for product information) can be achieved, taking into account influencer–product fit, in a fashion marketing campaign. In addition, account following and product involvement are examined as possible moderators in these relationships.
Design/methodology/approach
The data were gathered from online participants. The participants were Instagram users who already knew a popular influencer on the platform. The experimental design manipulated the types of picture posted by the influencer to observe customers’ reactions in terms of intention to interact with the influencer’s account and to look for further information about promoted products.
Findings
The authors’ findings suggested that influencer–product matches in posts on Instagram encourage users to search for information about promoted products but do not affect their intention to interact with influencers’ accounts. Nevertheless, customers’ reactions toward an influencer’s posts differ based on whether they are followers of the influencer and whether they are highly or lowly involved with the promoted product.
Practical implications
Both brands and influencers should properly manage influencer marketing actions. Brands should control influencers’ audiences and their involvement with featured products so that they are seen to promote them in a natural way. Influencers should endorse branded products that fit their own style; this will increase the interaction on their accounts.
Originality/value
This research contributes to a better understanding of how users can be encouraged to undertake positive online actions as regards influencers (interaction with their accounts) and promoted products (information search) in influencer marketing campaigns.
Propósito
Esta investigación analiza cómo lograr comportamientos positivos hacia los influencers (mayor interacción del consumidor con la cuenta) y los productos promocionados (búsqueda de información sobre el producto), en función del ajuste influencer-producto en una campaña de marketing de moda. Además, se estudian el seguimiento de la cuenta y la implicación con el producto como posibles moderadores en estas relaciones.
Diseño/metodología/enfoque
Los datos de la investigación se recogieron a través de una encuesta realizada a usuarios de Instagram que conocían previamente a la influencer estudiada. A través de un diseño experimental se manipularon las publicaciones de la influencer para analizar las reacciones de los consumidores, más concretamente, sus intenciones de interactuar con la cuenta del influencer y de buscar más información sobre los productos promocionados.
Resultados
Los resultados de la investigación sugieren que un buen ajuste entre los influencers y los productos promocionados incentiva a los usuarios a buscar información sobre éstos productos, pero no afecta a su intención de interactuar con la cuenta de Instagram de la influencer. No obstante, las reacciones hacia las publicaciones de la influencer difieren dependiendo de si los consumidores son o no seguidores de la influencer y del nivel de implicación con el producto promocionado.
Implicaciones prácticas
El trabajo muestra la necesidad de gestionar adecuadamente las acciones de marketing en las que participan influencers. Las marcas deben conocer el público al que se dirigen los influencers y su implicación con los productos promocionados, para que la publicación promocionada resulte natural. Por su parte, los influencers deben promocionar los productos de marcas que se ajusten a su propio estilo para así incrementar la interacción del público con sus cuentas.
Originalidad/valor
Este trabajo indica algunas de las características que han de tener las campañas de marketing con influencers cuando su objetivo es estimular comportamientos de los consumidores tales como la interacción con la cuenta y la búsqueda de información sobre el producto.
Tipo de trabajo
Trabajo de investigación
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Nani Maiya Sujakhu, Sailesh Ranjitkar, Hua Yang, Yufang Su, Jianchu Xu and Jun He
This paper aims to document the adaptation strategies developed by local farmers to adjust to climate change and related hazards in Lijiang Prefecture in Southwest China, and…
Abstract
Purpose
This paper aims to document the adaptation strategies developed by local farmers to adjust to climate change and related hazards in Lijiang Prefecture in Southwest China, and quantify the determinants of the adaptation measures.
Design/methodology/approach
The study conducted a household survey with 433 respondents in Lijiang to documents adaptation measures. The authors used a multivariate probit model to quantify five categories of adaptation measures against a set of household features, extension and information, resources, social network, financial assets and perception variables.
Findings
The most significant determinants consisted of information on early climate warnings and impending hazards, ownership to land and livestock, irrigation membership in community-based organisations, household savings, cash crop farming and perceptions of climate change and its related hazards. Adaptation strategies and policies highlighting these determinants could help to improve climate change adaptation in the region.
Originality/value
This study quantified the determinants of adaptive strategies and mapped important determinants for the region that will provide farmers with the appropriate resources and information to implement the best practices for adapting to climatic changes. The method and findings could be useful and easily replicable for future agriculture policies.
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Adalgisa Battistelli, Carlo Odoardi, Nicola Cangialosi, Gennaro Di Napoli and Luciano Piccione
This study aims to explore whether expected image outcomes (risk and gain) represent a mechanism through which perceived organizational climates, in the dimensions of tradition…
Abstract
Purpose
This study aims to explore whether expected image outcomes (risk and gain) represent a mechanism through which perceived organizational climates, in the dimensions of tradition and reflexivity, affect key components of the innovation process (idea generation and idea realization).
Design/methodology/approach
Structural equation models have been conducted to empirically analyse 3 waves of longitudinal survey data from an Italian military organization (N = 410).
Findings
Results confirmed that image outcome expectations mediated the effects of perceived climate on idea generation, and that a serial mediation of image expectations and idea generation those on idea realization. Additionally, reflexivity was directly associated with idea generation.
Practical implications
The findings offer guidance for organizations that aim to strengthen employee-driven innovation, highlighting the importance of organizational climate and image outcomes expectations.
Originality/value
Advancing from existing organizational behaviour and individual innovation literature, this article contributes to extend knowledge about the role of organizational climate and image outcome expectations in enhancing innovative work behaviours.
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Noel Scott, Brent Moyle, Ana Cláudia Campos, Liubov Skavronskaya and Biqiang Liu