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1 – 5 of 5Lijuan Luo, Yuwei Wang, Siqi Duan, Shanshan Shang, Baojun Ma and Xiaoli Zhou
Based on the perspectives of social capital, image motivation and motivation affordances, this paper explores the direct and moderation effects of different kinds of motivations…
Abstract
Purpose
Based on the perspectives of social capital, image motivation and motivation affordances, this paper explores the direct and moderation effects of different kinds of motivations (i.e. relationship-based motivation, community-based motivation and individual-based motivation) on users' continuous knowledge contributions in social question and answer (Q&A) communities.
Design/methodology/approach
The authors collect the panel data of 10,193 users from a popular social Q&A community in China. Then, a negative binomial regression model is adopted to analyze the collected data.
Findings
The paper demonstrates that social learning, peer recognition and knowledge seeking positively affect users' continuous contribution behaviors. However, the results also show that social exposure has the opposite effect. In addition, self-presentation is found to moderate the influence of social factors on users' continuous use behaviors, while the moderation effect of motivation affordances has no significance.
Originality/value
First, this study develops a comprehensive motivation framework that helps gain deeper insights into the underlying mechanism of knowledge contribution in social Q&A communities. Second, this study conducts panel data analysis to capture the impacts of motivations over time, rather than intentions at a fixed time point. Third, the findings can help operators of social Q&A communities to optimize community norms and incentive mechanisms.
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Keywords
Lijuan Zhao, Yan Liu and Junhong Shi
In the context of carbon peaking and neutrality, effectively controlling agricultural carbon emissions has gained academic attention. As an essential form of agricultural service…
Abstract
Purpose
In the context of carbon peaking and neutrality, effectively controlling agricultural carbon emissions has gained academic attention. As an essential form of agricultural service scale management, this study investigates whether and how trusteeship affects the carbon emission behavior in planting production.
Design/methodology/approach
The authors established a theoretical framework to analyze the impact of agricultural production trusteeship on carbon emissions from planting. China's provincial panel data in the 2012–2021 period were selected to test the impact, mechanisms and heterogeneity of agricultural production trusteeship on carbon emissions from planting using the bidirectional fixed effect model and the panel correction standard error regression model.
Findings
The findings indicate that agricultural production trusteeship significantly inhibits carbon emissions from planting, especially in the dimensions of fertilizer input, pesticide application, agricultural film use and mechanical fuel. Agricultural production trusteeship primarily affects the intensity of these carbon emissions through contiguous farmland management and planting structure adjustment. Further examinations revealed that the influence of agricultural production trusteeship on carbon emissions from planting was heterogeneous with respect to geographical location, proportion of non-farming income and scale of agricultural production.
Originality/value
This study is the first to systematically evaluate the impact of agricultural production trusteeship on carbon emissions from planting.
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Guangkuan Deng, Jianyu Zhang, Lijuan He and Ying Xu
Drawing on the wisdom of ancient Chinese philosopher Xunzi, this paper aims to present a novel mechanism for governing opportunism, referred to as “cultivational governance.” By…
Abstract
Purpose
Drawing on the wisdom of ancient Chinese philosopher Xunzi, this paper aims to present a novel mechanism for governing opportunism, referred to as “cultivational governance.” By examining the role of artificial intelligence (AI) resources possessed by e-commerce platforms, the authors explore how these resources contribute to mitigating seller opportunism. The central hypothesis of this study posits that two distinct types of AI resources, namely, AI technology resources and AI human resources, serve as crucial factors in curbing seller opportunism. Furthermore, the authors propose that platform digital empowerment and value cocreation act as mediating variables linking AI resources to opportunism.
Design/methodology/approach
Based on the resource-based view and resource orchestration theory, the authors developed a framework and tested it using survey data from sellers. This framework encompasses five key variables: e-commerce platform’s AI technology resources, AI human resources, platform digital empowerment, value cocreation and seller opportunism. Regression analysis was used for data analysis.
Findings
The empirical results validate the effectiveness of cultivational governance mechanisms, as both AI resources effectively suppress seller opportunism through digital empowerment and value cocreation. Specifically, e-commerce platforms’ AI technology resources significantly promote value cocreation and platform digital empowerment, while AI human resources primarily contribute to platform digital empowerment. Although platform digital empowerment encourages value cocreation, its direct impact on reducing seller opportunism was not supported. Notably, value cocreation negatively affects seller opportunism.
Originality/value
The present research mainly contributes to the marketing channel governance literature by introducing a new approach to inhibit opportunism, namely, the cultivational governance mechanism.
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Yunlong Duan, Hanxiao Liu, Meng Yang, Tachia Chin, Lijuan Peng, Giuseppe Russo and Luca Dezi
Given that environmental issues have become increasingly critical in business operations, from the lens of guanxi, this study explores the impact of relational capital on green…
Abstract
Purpose
Given that environmental issues have become increasingly critical in business operations, from the lens of guanxi, this study explores the impact of relational capital on green innovation in a knowledge-driven context of new energy enterprises. Additionally, the moderating effect of corporate environmental responsibility (CER) on the above relationship is analyzed.
Design/methodology/approach
This study takes 162 Chinese new energy enterprises from 2010 to 2020 as the research sample. For empirical analysis, factor analysis is adopted to comprehensively measure relational capital, while green innovation is embodied in two dimensions, namely radical green innovation (RGI) and incremental green innovation (IGI).
Findings
Relational capital significantly promotes RGI and IGI. Moreover, it is found that implementing CER strengthens the positive relationship between relational capital and RGI but weakens the positive relationship between relational capital and IGI.
Originality/value
It is evident that existing literature on green innovation mainly focused on a single perspective rather than from different dimensions. In addition, few scholars have drawn from stakeholder theory to elucidate the interaction of relational capital with corporate responsibility practices. In this regard, this study examines the link between relational capital and green innovation while examining the moderating effect of CER, which provides valuable insights for future research on relational governance and innovation management. Furthermore, this study innovatively centers on new energy enterprises in China, which are pioneers and facilitators of green development, as the research subject. Considering relevant studies are still nascent in this domain, our empirical results are of extensive practical guidance for managers and practitioners to promote environmental sustainability.
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Mohammad Nabil Almunawar and Muhammad Anshari
As a result of the COVID-19 pandemic, numerous businesses have migrated to an online delivery platform (ODP) to survive and reconnect with their customers. This study aims to…
Abstract
Purpose
As a result of the COVID-19 pandemic, numerous businesses have migrated to an online delivery platform (ODP) to survive and reconnect with their customers. This study aims to focus on how the public perceives ODP. It examined the acceptance of digital platforms for delivering daily necessities, especially food, in Brunei Darussalam during the COVID-19 pandemic.
Design/methodology/approach
The online survey collected 350 valid samples, and the online questions were distributed using a snowball sampling method, with the questionnaire’s softcopy prepared in Qualtrics and sent via email and social media as hyperlinks. In 2021, we sent out the questionnaire link via email, WhatsApp and Facebook to people and organizations for about six months.
Findings
According to the findings of the study, product quality is a critical factor that consumers consider while making online purchases of different products. The COVID-19 condition positively affects customer acceptance, performance, effort and product quality. This research indicates that service quality, online habits and trust do not influence customer acceptance of an ODP.
Research limitations/implications
The study contributes to the body of knowledge regarding factors influencing the acceptance of ODPs. The factors that influence people’s acceptance of ODPs, especially during the COVID-19 pandemic, are assessed as to whether the COVID-19 pandemic influences people’s acceptance and the identified factor that has the strongest influence on the acceptance of digital delivery platforms.
Practical implications
The study contributes to the growing body of knowledge about how customer behaviors triggered by the COVID-19 condition influence customer acceptance of ODP and how behavior influences customer acceptance of ODP.
Originality/value
This paper is useful to academics, practitioners and policymakers in public administration and policy management. The research provides some insights into massive adoption of ODPs that affects the disruption of conventional business practices.
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