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This research aims to explore the mechanisms and conditions that motivate diners to engage in foodstagramming. It focuses on intrinsic versus extrinsic motivations, and the role of the dining environment in facilitating social connection and social commerce intention.

Two scenario-based experiments were conducted among Chinese participants. Experiment 1 (n = 219) used a one-factor between-subjects design to test the effect of foodstagramming incentives (intrinsic vs extrinsic) on social commerce intention. Experiment 2 (n = 529) used a 2 (foodstagramming incentive: extrinsic vs intrinsic) × 2 (environmental attractiveness: low vs high) between-subjects design to examine the mediation of social connection and the moderation of environmental attractiveness.

Intrinsic incentives more effectively enhance tourists’ social commerce intention than extrinsic incentives. The attractiveness of the dining environment moderates this relationship. Extrinsic incentives significantly boost social commerce intention and social connection in low-attractiveness environments, but not in high-attractiveness environments. Social connection serves as a conditional mediator.

Restaurant managers should prioritize superior service and culinary offerings, and invest in appealing dining environments to encourage tourists to share their dining experiences, leveraging word-of-mouth promotions. In less attractive settings, external incentives like coupons or discounts can promote food selfie-taking and sharing, driving social commerce intention.

This study offers new insights into foodstagramming motivations, highlighting the effectiveness of economic incentives and the role of the service environment in influencing social commerce behaviors. It expands the literature on service environments by explaining their effect on tourists’ sharing, commenting, liking and repurchasing behaviors.

本研究探讨了激励食客进行“美食打卡”行为的机制与条件, 重点分析了内在与外在激励, 以及用餐环境在促进社交联系和社交商务意图中的作用。

研究基于两个场景实验, 实验对象为中国参与者。实验1（n = 219）采用单因素组间设计, 以测试美食打卡激励（内在 vs. 外在）对社交商务意图的影响。实验2（n = 529）采用2（美食打卡激励：外在 vs. 内在）× 2（环境吸引力：低 vs. 高）的组间设计, 考察了社交联系的中介作用以及环境吸引力的调节作用。

内在激励比外在激励更有效地提升游客的社交商务意图。餐饮环境的吸引力对该关系具有调节作用。在低吸引力环境中, 外在激励显著增强了社交商务意图和社交联系, 而在高吸引力环境中则不然。社交联系作为一个有条件的中介发挥作用。

餐厅经理应优先提供优质服务和高水平餐饮, 同时投资于吸引人的用餐环境, 以鼓励游客分享他们的用餐体验, 借此促进口碑传播。在吸引力较低的环境中, 优惠券或折扣等外在激励可以有效促进美食自拍和分享行为, 进而推动社交商务意图。

本研究为美食打卡动机提供了新见解, 突显了经济激励的效果以及服务环境在社交商务行为中的作用。研究扩展了关于服务环境的文献, 阐释了其对游客分享、评论、点赞和复购行为的影响。

Esta investigación explora los mecanismos y condiciones que motivan a los comensales a participar en foodstagramming. Se centra en las motivaciones intrínsecas frente a las extrínsecas, así como en el papel del entorno gastronómico para facilitar la conexión social y la intención de comercio social.

Se realizaron dos experimentos basados en escenarios con participantes chinos. En el Experimento 1 (n = 219) se utilizó un diseño de un factor entre sujetos para comprobar el efecto de los incentivos de foodstagramming (intrínsecos vs. extrínsecos) en la intención de comercio social. En el Experimento 2 (n = 529) se empleó un diseño 2 (incentivo de foodstagramming: extrínseco vs. intrínseco) × 2 (atractivo del entorno: bajo vs. alto) entre sujetos para examinar la mediación de la conexión social y la moderación del atractivo del entorno.

Los incentivos intrínsecos mejoran de manera más efectiva la intención de comercio social de los turistas que los incentivos extrínsecos. El atractivo del entorno gastronómico modera esta relación. Los incentivos extrínsecos incrementan significativamente la intención de comercio social y la conexión social en entornos poco atractivos, pero no en entornos muy atractivos. La conexión social actúa como un mediador condicional.

Los gerentes de restaurantes deben dar prioridad a un servicio y una oferta culinaria superiores, e invertir en entornos gastronómicos atractivos para animar a los turistas a compartir sus experiencias gastronómicas, aprovechando la promoción boca a boca. En entornos menos atractivos, los incentivos externos, como cupones o descuentos, pueden animar a los clientes a hacerse selfies y compartirlos, impulsando así la intención de comercio social.

Este estudio ofrece nuevos conocimientos sobre las motivaciones para el foodstagramming, destacando la eficacia de los incentivos económicos y el papel del entorno del servicio en la influencia sobre los comportamientos de comercio social. Amplía la literatura sobre entornos de servicio explicando su efecto en los comportamientos de los turistas de compartir, comentar, dar “me gusta” y realizar compras repetidas.

Companies increasingly leverage artificial intelligence (AI) to enhance human performance, particularly in e-commerce. However, the effectiveness of AI augmentation remains controversial. This study investigates whether, how and why AI enhances human agents’ sales through a randomized field experiment.

This study conducts a two-by-two factorial randomized field experiment (N = 1,090) to investigate the effects of AI augmentation on sales. The experiment compares sales outcomes handled solely by human agents with those augmented by AI, while also examining the moderating effect of agents’ experience levels and the underlying mechanisms behind agents’ responses.

The results reveal that AI augmentation leads to a significant 5.46% increase in sales. Notably, the impact of AI augmentation varies based on agents’ experience levels, with inexperienced agents benefiting nearly six times more than their experienced counterparts. Mediation analysis shows that AI augmentation improves response timeliness, accuracy and sentiment, thereby boosting sales.

This study highlights the role of AI augmentation in human–AI collaboration, demonstrates the varying impacts of AI augmentation based on agents’ experience levels and offers insights for organizations on how to regulate AI augmentation to enhance agent responses and drive sales.

With the help of a quasi-natural experiment on Chinese policies, this study aims to understand the actual contribution of Smart City (SC) policies to the development of information and communications technology (ICT) in different cities. It also discusses the social and digital differences that such policies may generate, with a particular focus on the potential for exacerbating urban inequalities.

To achieve this, the study employs a principal component analysis (PCA) to develop an ICT development indicator system. It then employs a difference-in-differences (DID) model to analyze panel data from 209 Chinese cities over the period from 2007 to 2019, examining the impact of SC policies on ICT development across various urban settings.

Our findings show that SC policies have significantly contributed to the enhancement of ICT development, especially in ICT usage. However, SC policies may inadvertently reinforce developmental disparities among cities. Compared to less developed areas, the benefits of SC policies are more pronounced in economically booming cities. This is likely due to the agglomeration of the ICT industry and the strong allure of developed urban centers for high-caliber talent.

This study contributes to the related literature by explaining the role of SC policies in driving ICT development and by focusing on the often-overlooked impact of SC policies on urban inequality. These findings can provide guidance to policymakers on the need to recognize and address existing urban inequalities.

This study aims to apply deep convolutional neural network Mask-R-CNN algorithm based on transfer learning to realize the segmentation of online wear fragments.

Wear debris analysis is considered to be one of the most effective methods to maintain the condition of mechanical equipment. In this paper, the friction and wear testing machine was used to design pin-disk rotation, pin-disk reciprocation and four-ball test to produce cutting, sliding, laminar and fatigue debris. A semi-online sampling system was designed to collect ferrographic images containing various fragments. The images were rotated and flipped to augment the data and enhance the generalization ability of the model. The data set required for data analysis is established. Using COCO pre-trained Mask R-CNN data set as a benchmark, the region proposal network (RPN) is trained with labeled wear debris images to enhance the ability of RPN to recognize background and wear debris. Two transfer learning scenarios are tested in the network head of the Mask R-CNN.

The results show that the deep convolutional neural network is suitable for the automatic classification and detection of wear fragments. Through transfer learning and proper training configuration, the ferrographic image recognition based on Mask R-CNN achieves high accuracy.

The results show that the deep convolutional neural network is suitable for the automatic classification and detection of wear fragments. Through transfer learning and proper training configuration, the ferrographic image recognition based on Mask R-CNN achieves high accuracy.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0182/

This study investigates the impact of customer stability on the cost of debt and the moderating effect of environmental uncertainty on the above relationship.

An empirical analysis based on the ordinary least squares (OLS) regression model is conducted using China’s A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2007 to 2021.

The results indicate that customer stability significantly inhibits the cost of debt, and the higher the environmental uncertainty, the more significant the inhibitory effect of customer stability on the cost of debt. The results of heterogeneity analyses indicate that the more intense the industry competition, the higher the customer concentration or the older the average customer age, the more significant the inhibiting effect of customer stability on the cost of debt.

This study highlights the importance of customer relationship management and supply chain risk management, which have both theoretical and managerial implications. Despite its contributions, this study has limitations, such as China’s institutional context limits, which the generalisability of our results, and the sample size for this study is small because of limitations in measuring customer stability.

Existing literature has not yet reached a consistent conclusion on how customer relationships affect the cost of debt, and such studies are mainly centered around perspectives such as customer concentration and the contagion effect of supply chains. This study constructs an indicator of customer stability using detailed information on the top five customers of China’s A-share listed companies and dynamically examines the impact of customer stability on the cost of debt, which expands the research on the influencing factors of the cost of debt, the economic consequences of customer stability and the theory of customer relationship management.

This study aims to investigate the influence of network power on exploratory and exploitative innovation and examines the moderating effects of power distance and procedural justice on these untested relationships.

This study uses survey data collected from firms in China and explores the influential mechanisms of network power, power distance and procedural justice in firm innovation.

This study empirically shows that network power has an inverted U-shaped effect on exploratory and exploitative innovation. Power distance weakens the effect of network power on exploratory and exploitative innovation, and procedural justice enhances the effect of network power on exploratory and exploitative innovation.

This study extends resource dependence theory and contributes to the literature on innovation management. Future studies should use different collection channels or research methods to provide more evidence for model promotion. In addition, the dynamic power game among network members and the roles of other mediators or moderators warrant further consideration.

Managers should exercise power strategies properly and ensure that their innovation income exceeds expenditures. Managers need to pay serious attention to power distance and procedural justice in the network and formulate suitable cooperation strategies based on actual conditions.

This study applies the resource dependence theory to investigate the influence of network power on exploratory and exploitative innovation. In addition, the moderating roles of power distance and procedural justice in the above relationships, which have rarely been discussed in previous studies, were tested.

This study aims to reveal the mechanism of CEO overconfidence in the digital transformation of specialized, refined, distinctive and innovative (SRDI) enterprises, thereby enriching research related to upper echelons theory and corporate digital transformation.

This study uses listed SRDI companies in China from 2017 to 2022 as a sample and adopts a fixed-effects regression model to analyze the direct, mediating, and moderating effects of CEO overconfidence on corporate digital transformation.

First, CEO overconfidence significantly promotes SRDI enterprises' digital transformation. Second, according to the “cognition-behavior-outcome” model, we found that entrepreneurial orientation plays a mediating role. Third, based on the principle of procedural rationality and the interaction perspective between the CEO and the executive team, we introduce the heterogeneity of the executive team as a moderating variable. Our findings indicate that age heterogeneity within the executive team has a negative moderating effect, whereas educational and occupational heterogeneities have positive moderating effects.

This study expands on earlier research that focuses primarily on CEO demographic characteristics. It enriches the analytical perspective of upper echelons theory on corporate digital transformation by analyzing the psychological characteristics of CEOs, that is, overconfidence and its mediating pathways. Moreover, this study goes beyond the previous literature that does not differentiate between CEOs and executive teams by introducing the concept of CEOs' interactions with the executive team and including the heterogeneity of the executive team as a moderating variable in the literature. Thus, continuing to deepen the application of upper echelons theory to corporate digital transformation. Additionally, this study contributes to the literature on the positive consequences of overconfidence.

Integrating green (sustainable) practices in logistics management play a crucial role in accelerating the transition to a circular economy, realizing its sustainability potential and position in the net zero emission target by 2050. Over the past decade, this integration has attracted significant attention in both academic and industrial discourse. Despite the increasing recognition of the benefits of green logistics practices (GLPs), only a few firms have implemented green-oriented or sustainable logistics practices; hence, a comprehensive understanding of what could drive its implementation as well as how and when firms can benefit from GLPs is of key importance for theory, policy and practice. Drawing on dual theoretical lenses, this study investigated how supply chain ethical leadership (SCEL) could stimulate green logistics practices by building green core competencies (GCC) under varying conditions of corporate green culture (CGC).

An integrated model motivated by social learning and contingency theories was tested using responses from 208 managers of logistics firms in Ghana. SPSS 23 and covariance-based structural equation modeling (CB-SEM) were used for data analyses.

Both SCEL and GCC significantly influenced GLPs. The findings also showed that GLPs significantly enhanced carbon-neutral supply chain performance (CNSCP). The results further showed that GCC mediates the SCEL–GLPs link. We also found that the effect of SCEL on GLPs was amplified at a high level of CGC.

This study offers fresh insight into how managers can leverage SCEL to support GLP and when they can also combine green competence and green culture to achieve enhanced benefits in the form of carbon-neutral SCP. This further implies that building ethical leadership and competencies alone may not be sufficient to drive superior emission reduction and subsequent sustainability; rather, cultivating a green-oriented culture that values sustainable logistics is crucial to fully realize the potential of ethical leadership and competencies in enabling the implementation of GLPs and subsequently enhancing carbon-neutral SCP.

The novelty of the present study lies in the integration of social learning and contingency theories to unearth the mechanism and conditional roles of green competence and green culture in optimizing the SCEL–GLPs–GLP relationship. The study is also among the few attempts to shed light on how firms can leverage GLPs to enhance carbon-neutral supply chain performance, which is rare.

Drawing upon the stimulus-organism-response model, this study aims to explore the impact of soft aspects of service quality on revisit intention through the mechanism of perceived empathy.

For the examination of the hypothesized relationships, the study adopts structural equation modelling to analyse the data of 562 respondents (i.e. 281 family members and 281 inpatients).

The empirical results suggest that service quality increased family member empathy perception, which, in turn, improved inpatients’ revisit intentions.

Past studies have focused on the roles of overall service quality. The authors have extended the literature by examining the specific but important aspect of service quality and its effects on emotional response. Importantly, the study explains that the affective reactions of a patient’s family, fastened with perceived empathy, have a central role in influencing the patients’ subsequent reactions. Moreover, the prior studies collected the data either from hospital employees or patients. However, in the present study, the authors used a unique sample (family members as well as patients) to have a deeper understanding. Thus, the study enhances the literature on the stimuli-response (i.e. service quality – revisit intentions) relationship in the context of service marketing in general and health care in specific. Important academic and managerial contributions and recommendations for future research are discussed.

This study aims to examine how Confucianism influences corporate digital transformation and explore the underlying mechanisms. Meanwhile, this study also seeks to analyze whether the relationship between Confucianism and corporate digital transformation significantly varies under different contextual conditions.

This study utilizes a sample of Chinese listed firms from 2012 to 2021 to empirically examine how Confucianism influences corporate digital transformation and validate the mechanisms of informal hierarchies, agency costs and financing constraints. Moreover, it explores the moderating effects of political connection and overseas culture. Subsample regressions assess the influence of corporate internationalization, property rights and regional marketization.

The findings of this study highlight the crucial role of Confucianism in driving corporate digital transformation. Confucianism contributes to corporate digital transformation by clarifying informal hierarchies, reducing agency costs and alleviating financing constraints. Nevertheless, political connection and overseas culture weaken the positive impact of Confucianism on corporate digital transformation. Further evidence indicates that Confucianism's influence on digital transformation is particularly pronounced in environments characterized by limited internationalization, heightened marketization and among non-state-owned enterprises.

This study elucidates the role of informal institutions in driving corporate digital transformation, enriching the literatures on the intersection of Confucianism and corporate digitalization. Our findings offer a novel perspective and contribute to management practice by exploring the mechanisms and contextual conditions.