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This article investigates the impact mechanism of scarcity promotions in live streaming e-commerce on consumer purchase intention in the context of urban-rural and male-female divides in China, with emotional experience as the mediating variable.

A total of 687 online questionnaires are collected, and the model is empirically analyzed by partial least squares structural equation model.

Scarcity promotions in live streaming e-commerce positively influence purchase intention, with emotional experience mediating the impact. Furthermore, the influence of scarcity promotions in live streaming e-commerce on the emotional experience of urban residents is greater than that of rural residents. The effect of scarcity promotions on the purchase intention of urban residents is lower than that of rural residents. Scarcity promotions in live streaming e-commerce have a greater impact on the emotional experience of female consumers compared to male consumers. The influence of scarcity promotions on the purchase intention of female consumers is lower than that of male consumers.

This article extends the scarcity promotion theory to the context of live streaming e-commerce. Furthermore, it is the first to explore the mediating role of emotional experience in this process. Lastly, it is the first to investigate the moderating effects of urban-rural and male-female factors in this process.

This study aims to explore the underlying mechanism and boundary conditions of consumer’s preference on a multiple-percentage discount over an economically equivalent single discount.

The authors tested their predictions using two large-scale online experiments accompanied by a fully controlled laboratory experiment.

This study shows that the preference for a multiple-percentage discounts over an economically equivalent single-percentage discount is because consumers directly add the raw values of multiple-percentage discounts. The preference is less prominent if the percentage discounts are presented using round (vs non-round) numbers and is strengthened by experiential-thinking style.

This study examined consumer preferences between a single-percentage discount and an economic equivalent multiple-percentage discount. A promising research topic is exploring consumer preferences between multiple-percentage discounts.

Understanding how different presentation formats of the same price discount can lead to different evaluations enables managers and marketers to ensure a more effective promotional strategy.

This study extends literature on price-based promotions by demonstrating how consumers’ preferences for multiple discounts can be strengthened or weakened.

This paper aims to explore the key drivers of a resilient supply chain for the Indian pharmaceutical industry for enhanced and sustainable export pursuits in a disruptive business time.

This study literarily identifies the key drivers of supply chain resilience in the Indian pharmaceutical industry and methodologically appraises, analyzes and assesses them to derive a structural model that catalytically acts as facilitators and drivers for enhanced export performance. By reviewing relevant literature, it identifies research and development (R&D), procurement and sourcing, manufacturing, distribution and reverse logistics factors. It collects Likert scale feedback from stakeholders and probes interrelationships among them in achieving the enhanced export performance of India’s pharmaceutical sector.

The results lucidly identify the key enablers affecting the export performance of India’s pharmaceutical sector. These primarily include developing excellence in manufacturing, reverse logistics and distribution. Furthermore, sourcing and R&D are the antecedents of manufacturing expertise, catalytically contributing to improved export outcomes. Based on the derived structural model, the interrelationships are evaluated to explore causal links in achieving supply chain resilience and simultaneously elucidating the managerial and socio-economic interventions.

Narrating the results, this paper scholarly identifies the key drivers that need to be factored in for enhanced export outcomes of India’s pharmaceutical sector. The paper explains how to achieve supply chain resilience for export performance in India’s pharmaceutical sector.

Live-streaming e-commerce (LSE) allows anchors to bring offline promotion skills to interact with consumers and persuade them to buy. However, how consumers respond to these communications remains unknown. This study examines the persuasive effect of different scarcity marketing messages on impulsive buying in the LSE context.

This study adopts scenario-based experimental methods and conducts two 2 quantity-based scarcity (supply-framed vs demand-framed)*2 time-based scarcity appeals (high vs low) between-subjects experiments to test the hypotheses.

The results indicate that supply-framed appeals are more effective in provoking consumers’ arousal and impulsive buying, but are moderated by time scarcity. Furthermore, emotional arousal only mediates the effects of quantity-based scarcity appeals on impulsive buying under high-level time scarcity conditions.

This study contributes to the e-commerce literature by comparing the persuasive effect of different scarcity messages in the LSE context. We broaden the scarcity marketing literature by testing the combined effect of quantity-based and time-based scarcity appeals. Finally, this study extends the application of the competitive arousal model.

Empirical evidence indicates that cross-industry cooperation is a popular promotional format in which retailers can engage in market resource sharing and exchange. Although many retailers participate in cross-industry joint promotion by issuing coupons to each other, the degree of correlation between cross-industry products and the consumer switching behavior can significantly impact the promotional effect of these coupons. The purpose of this paper is to investigate the effectiveness of the cross-industry joint promotion and the optimal coupon distribution strategy of retailers based on these two factors.

This paper analyzes the four cases of no cross-industry joint promotion, unilateral issuance of coupons and bilateral issuance of coupons, and discusses the best coupon distribution strategy for retailers based on the degree of product correlation and consumer switching costs. Furthermore, the applicability of the coupon distribution strategy is enhanced by incorporating numerical analysis.

The results show that the retailers can improve their income level by implementing cross-industry joint promotion. The retailers always price higher when only their promotional partners distribute coupons. When the degree of product correlation and consumer switching costs are high, the retailers issuing cross-industry coupons bilaterally is the optimal joint promotion strategy. When the degree of product correlation or consumer switching costs are low, the low-value retailer issuing coupons can achieve a win-win situation for retailers.

This paper addresses an interesting and practical issue related to the coupon distribution strategies based on the product correlation and consumer switching behavior, thereby providing new theoretical value and managerial implications for retailers to choose the optimal joint promotion strategy under different market conditions.

This paper aims to explore the impact of green finance on the heterogeneity of enterprise green technology innovation and the underlying mechanism between them.

Using the data of China's A-share listed enterprises from 2008 to 2020 and the fixed effect model, the authors empirically explore the relationship and mechanism between green finance and green technology innovation by constructing the green finance index while considering both the quality and quantity of innovation.

The study suggests that green finance is positively related to the quality and quantity of enterprise green technology innovation, while green finance is more effective in stimulating the quality of green technology innovation than quantity. In addition, alleviating financial mismatch and improving the quality of environmental information disclosure are core mechanisms during the process of green finance facilitating green technology innovation. Furthermore, green finance exerts a more positive effect on the quality and quantity of green technology innovation with large-size enterprises, heavily polluting industries and enterprises in the eastern region.

This paper enriches the literature on green finance and green technology innovation and provides practical significance for green finance implementation.

The digital economy has become a new engine for economic development, promoting the upgrading and transformation of traditional industries as well as fostering emerging industries and forms of business. Nonetheless, how does the digital economy affect innovation? The research objective is to explore the specific impact of the digital economy on innovation output.

This paper innovatively adopts the dynamic panel data model (DPDM) to carry out an empirical study on the impact of the digital economy on innovation output, through the observation of 30 provincial-level administrative regions in China. Furthermore, the paper innovatively analyzes the impact of different dimensions of the digital economy on innovation output and the impact of the digital economy on different dimensions of innovation output.

It is found that the digital economy is conducive to boosting innovation output considering innovation continuity. Specifically, the driving impact of core industries and enterprise application of digital economy on innovation output is more prominent, but the driving impact of infrastructure and personal application on innovation output is not fully played. Meanwhile, the driving impact of the digital economy on the innovation output quality is more significant than that digital economy on the innovation output quantity.

This study employs a DPDM for the first time to investigate the specific impact of the digital economy on innovation output, and contributes to the existing literature on the digital economy and digital economy-driven innovation. The findings offer a comprehensive explanation for the impact of the digital economy on innovation output, which has reference value for the formulation of innovation policies driven by digital economy, thereby providing impetus for the sustained and stable development of China's economy.

This paper aims to address the gaps in current research by exploring how blockchain technology influences corporate green innovation.

This study investigates the potential of blockchain technology to stimulate the green innovation of companies using the difference-in-difference model with a panel data set of 1,803 Chinese listed companies from 2012 to 2019.

The application of blockchain significantly increases the number of green invention patents obtained by companies but has no significant impact on green utility model patents, that is, blockchain applications improve the quality rather than the quantity of green innovation. The role of blockchain in promoting green innovation is particularly pronounced in state-owned enterprises, non-heavily polluting industries and older companies. The use of blockchain technology helps reduce sales costs and boosts research and development investments, thereby encouraging green innovation. Additionally, a company’s internal control quality plays a moderating effect.

Firstly, previous research on blockchain has primarily centered on its relationship with supply chain management. This article empirically tests the impact of blockchain applications on the green innovation of companies using the DID method. Secondly, current studies mainly explore the influencing factors on green invention patents. This article examines the impact of blockchain applications on both green invention patents and green utility model patents and identifies distinct influencing effects. Finally, this article introduces the internal control mechanism of enterprises into the DID model and explores the potential impact of the quality of internal control on the relationship between blockchain and green innovation.

Studies have shown that research is a global innovation’s “engine room.” Therefore, young adult-built environment researchers (YABER), especially in developing countries, need research upskilling and reskilling training for better-integrated outcomes. Evidence shows that research training can improve YABER competencies and proficiencies. In Nigeria, YABER may have had some challenges in training needs. There is a lack of extant literature about the issues facing Nigeria’s YABER upskilling and reskilling training needs. Thus, this study investigated the perceived problems facing YABER and proffered measures to improve their training needs in Nigeria.

The researchers used participants from Edo State, Abuja and Lagos State, Nigeria. This study adopted a qualitative research approach. The researchers accomplished saturation after 40 virtual interviews and adopted a thematic analysis for the primary data.

The research shows that the built environment research refines current and creates new knowledge. The built environment researchers (trainers and trainees) need training but face challenges. Findings clustered measures to improve quality research publications in the built environment through YABER training into government/regulatory agencies-related, higher education institutions-related and researcher-related measures.

The developed framework and thematic network analysis could be used to stimulate YABER training needs and, by extension, stir Nigeria’s higher education institutions regulatory agencies to upgrade requirements for academic staffers, especially published articles, to be compulsorily Scopus/Web of Sciences indexed for promotion exercise. This is the global best practice, and Nigerian scholars cannot be in isolation. It will form part of this study’s implication and revitalise UNSDG 4.

The penetration of mobile social media has given birth to various online collective spaces (OCSs) within cross-functional project teams (CFPTs), which have significantly transformed knowledge sharing (KS) practice. While existing literature has endeavored a lot on KS factors within CFPTs, our understanding of KS in OCSs is limited, thus constituting the central of the present study.

Centering on communication visibility, the core feature of KS in OCSs, this study combines social power theory and knowledge governance theory to shed light on the influence of two agents, i.e. members in the OCS and the project team. Data were collected by administering a questionnaire survey to 205 project team members in China. Ordinary least squares regression and fuzzy-set qualitative comparative analysis (QCA) techniques are used to analyze the data.

The ordinary least squares (OLS) regression results suggest that expert power of oneself, formal knowledge governance mechanism (KGM) and group size positively influence both KS quantity and quality. Besides, hierarchical distance is found to negatively influence KS quantity, and informal KGM is found to positively affect KS quality. The fuzzy-set QCA results reveal three configurations sufficient for KS quantity and four configurations sufficient for KS quality. Notably, the combination of expert power of oneself, formal and informal KGMs is essential for both KS quantity and quality.

This study provides valuable insights into KS in OCSs by synthesizing multi-level contextual antecedents from multiple theoretical perspectives. The results of OLS regression and fuzzy-set QCA are discussed, offering a comprehensive understanding of the mechanisms impacting KS. Ultimately, this study aims to offer guidance to managers on effectively facilitating KS within the contemporary digital era.