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This paper aims to systematically expound the theory and development background of supply chain finance and blockchain, design a railway freight supply chain financial platform based on blockchain, determine the risk management system and business support system of supply chain finance business and analyze the value generated by the combination of supply chain finance business and blockchain.

Investigation and research method; Prototype method; Model method; Value analysis.

The business model integrating supply chain finance and blockchain technology will bring great changes to freight industry. The development of supply chain finance is beneficial to the healthy development of the core participants of railway freight transport business and its upstream and downstream ecosystems. It links commerce, logistics, warehousing and financial services together and builds an industry-integrated ecological service platform through information technology platform and supporting system, taking data as the basis and combining information technology such as blockchain as innovative means.

This paper will provide important reference value for related research. This paper innovatively designs the supply chain financial platform of freight transportation industry-integrating blockchain technology and analyzes its business model, technical system, risk management and control system and value system in detail, which will provide technical support for the innovative reform of freight information technology and realize the stable and high-speed development of freight logistics informationization.

Lean Thinking is an operation management discipline which aims to identify, map and analyse the activities forming a process to detect “value waste” and outline the most effective flow of activities to execute in sequence. Process mapping is often developed in lean projects through the use of the Value Stream Map (VSM). Like many other management tools, the VSM adopts a static and non-systemic perspective in the representation of an organizational process. This may result in the implementation of Lean projects inconsistent with the overall organizational long-term strategy, thus leading to dysfunctional performance. In order to overcome this limit, the paper suggests combining VSM with System Dynamics (SD) modelling.

The paper is based on a review of the literature on VSM. This review is matched with an analysis of SD modelling principles aimed at explaining the practical and theoretical contribution of this approach to operation and strategic management practices. An illustrative case study is then provided to explore the practical implications of the proposed approach.

Our results show that SD modelling provides robust methodological support to VSM and Lean Thinking due to its inner characteristics, namely: simulation, systemic view, explicit link between system structure and behaviour and effective visual representation.

This research proposes a novel approach to design VSMs aimed at fostering a strategic perspective in Lean Thinking applications. Such an approach connects two fields of research and practice – i.e. VSM and SD modelling – which have traditionally been kept separated or, at least, partially combined for specific organizational sub-systems, thereby neglecting a broader strategic view of the entire process system.

Due to the unknown location, size and timing of disasters, the rapid response required by humanitarian operations (HO) faces high uncertainty and limited time to raise funds. These harsh realities make HO challenging. This study aims to systematically capture the complex dynamic relationships between operations in humanitarian settings.

To achieve this goal, the authors undertook a systematic review of the extant academic literature linking HO to system dynamics (SD) simulation.

The research reviews 88 papers to propose a taxonomy of different topics covered in the literature; a framework represented through a causal loop diagram (CLD) to summarise the taxonomy, offering a view of operational activities and their linkages before and after disasters; and a research agenda for future research avenues.

As the authors provide an adequate representation of reality, the findings can help decision makers understand the problems faced in HO and make more effective decisions.

While other reviews on the application of SD in HO have focused on specific subjects, the current research presents a broad view, summarising the main results of a comprehensive CLD.

This study aims to (1) examine the effect of customer awareness of restaurant philanthropic activities on customer loyalty; (2) investigate the mediating roles of customer social benevolence trust, perceived restaurant reputation and affective commitment on the relationship between their awareness of restaurant philanthropic activities and customer loyalty; and (3) test the path effect differences between the directed and general philanthropic activities during the COVID-19 pandemic period.

This study used online scenario-based surveys to collect data. Based on 293 useable surveys, partial least squares structural equation modeling was applied for data analysis.

This study finds that customer awareness of restaurant philanthropic activities positively relates to customer loyalty. Moreover, customer social benevolence trust, perceived restaurant reputation and affective commitment have positive mediating effects on the relationship between their awareness of restaurant philanthropic activities and customer loyalty. There is no significant path effect difference between the directed and general philanthropic activities.

This study suggests that restaurant decision-makers should conduct either directed or general philanthropic activities as a marketing tool to sustain customers during the COVID-19 recovery.

This study is the first study that discusses the marketing role of corporate philanthropy in the restaurant industry during the COVID-19 pandemic and stresses the importance of proactive strategic donations that helps restaurants' recovery.

Traditional Chinese medicine (TCM) prescriptions have always relied on the experience of TCM doctors, and machine learning(ML) provides a technical means for learning these experiences and intelligently assists in prescribing. However, in TCM prescription, there are the main (Jun) herb and the auxiliary (Chen, Zuo and Shi) herb collocations. In a prescription, the types of auxiliary herbs are often more than the main herb and the auxiliary herbs often appear in other prescriptions. This leads to different frequencies of different herbs in prescriptions, namely, imbalanced labels (herbs). As a result, the existing ML algorithms are biased, and it is difficult to predict the main herb with less frequency in the actual prediction and poor performance. In order to solve the impact of this problem, this paper proposes a framework for multi-label traditional Chinese medicine (ML-TCM) based on multi-label resampling.

In this work, a multi-label learning framework is proposed that adopts and compares the multi-label random resampling (MLROS), multi-label synthesized resampling (MLSMOTE) and multi-label synthesized resampling based on local label imbalance (MLSOL), three multi-label oversampling techniques to rebalance the TCM data.

The experimental results show that after resampling, the less frequent but important herbs can be predicted more accurately. The MLSOL method is shown to be the best with over 10% improvements on average because it balances the data by considering both features and labels when resampling.

The authors first systematically analyzed the label imbalance problem of different sampling methods in the field of TCM and provide a solution. And through the experimental results analysis, the authors proved the feasibility of this method, which can improve the performance by 10%−30% compared with the state-of-the-art methods.

This paper investigated the impact of firms' service recovery efforts on consumers' desire to reciprocate and forgiveness in the hospitality industry of Pakistan. Additionally, this study examined the mediating role of perceived justice between service recovery efforts and their outcomes.

Using snowball sampling technique, an online survey was administered and 259 responses were collected from casual-dining restaurant customers. A partial least squares structural equation modeling (PLS-SEM) and multivariate analysis of covariance (MANCOVA) were used to examine the hypotheses.

The results indicate that perceived justice significantly mediates the effect of service recovery efforts on the consumers' desire to reciprocate and forgiveness. Moreover, high (vs. low) service recovery efforts lead to high consumer forgiveness.

The study provides insights for managers into how optimal recovery efforts predict consumers' positive responses and minimize the effect of service failure in South Asian consumers.

This research is among the early endeavors to examine consumers' desire to reciprocate in service recovery context. Also, this is the first study to validate the impact of service recovery efforts on consumers' desire to reciprocate and consumer forgiveness in a South Asian country.

Employees' emotional competence (EEC) is gaining increasing attention in service failure and recovery research. This study investigates the mediating role of consumer forgiveness between perceived EEC and recovery satisfaction among casual dining consumers. Additionally, this study examines the effect of perceived EEC on recovery satisfaction across process failure vs outcome failure.

A critical incident technique (CIT) in conjunction with a self-administered online survey was carried out. Using the snowball sampling technique, a total of 204 useable responses were collected. To test the hypotheses, this study used partial least squares structural equation modeling (PLS-SEM).

The study finds that perceived EEC influences service recovery satisfaction. Additionally, the study identifies the mediating role of consumer forgiveness in the relationship between perceived EEC and recovery satisfaction. Multi-group moderation analysis shows that the relationship between perceived EEC and recovery satisfaction is weaker in process failures as compared to outcome failures.

Based on obtained results, this study recommends that after service failure consumer forgiveness and subsequent recovery satisfaction can be obtained with perceived EEC. To do so, managers need to incorporate emotional competence while recruiting and training the employees. Moreover, managers need to train employees on failure types and respective recovery strategies. Lastly, the study suggests that in emerging markets managers should pay greater emphasis on process failure, because such failure decreases customer satisfaction greatly than outcome failure.

To the authors' knowledge, this is the first study that investigates the impact of perceived EEC on consumer forgiveness which subsequently determines the recovery satisfaction in the emerging markets. It extends the application of the emotional contagion and affect infusion theories by exposing the effect of perceived EEC on recovery satisfaction through consumer forgiveness. In addition, the study provides insights that the influence of perceived ECC on recovery satisfaction significantly varies across service failure types.

Studies have shown that negative publicity adversely affects brand trust, but exactly how brand trust can be damaged remains poorly understood. This study aims to explore how negative publicity influences image congruity and, subsequently, brand trust. In addition, the study also examined the effectiveness of two corporate strategies to repair both congruity and trust.

Based on a valid sample of 522 Chinese consumers between the ages 20 and 50, this study adopted a quasi-experimental design involving two types of negative publicity (performance- and value-related) and two initial corporate repair strategies (compensation and public apology) intended to repair brand trust.

Negative publicity shaped brand trust through both functional congruity and self-congruity. Moreover, the type of negative publicity affected the role of image congruity in brand trust. The effectiveness of repair strategies further depended on the type of negative publicity.

Mobile phones were an appropriate focal product for this research, but examining only one product category may limit findings’ generalizability. Negative emotions such as frustration or anger and their relationships with congruity can also be addressed in future work. Subsequent research can additionally consider more conditions to explore alternative routes of processing related to brand trust.

Brand trust is a vulnerable brand asset on which negative publicity can have seriously negative consequences. Marketers and brand managers should assess the extent to which negative publicity can damage image congruity and brand trust and come up with different repair strategies subsequently.

This study contributes to the limited and fragmented literature on consumers’ evaluations of negative information. Findings offer fresh insight into the impacts of negative publicity on image congruity and brand trust. The implications extend beyond negative publicity to other forms of negative information, such as rumors, fake news and negative word of mouth. Results also highlight the importance of adopting appropriate repair strategies to restore consumers’ trust in the event of negative publicity.

This paper aims to test the main factors that affect cash waqf collection among the employees of Islamic banking institutions (IBIs) in Malaysia.

The data was gathered using a survey method from 218 employees of IBIs in Malaysia. The obtained data was analyzed using the Statistical Package for the Social Sciences software and smart partial least squares-structural equation modeling to verify the hypothesis and reach conclusions.

The results revealed that word of mouth and trust have significant positive impacts on cash waqf collection. The outcomes also confirmed that convenience and accessibility to cash waqf play significant roles in affecting cash waqf collection.

Based on the researchers’ knowledge, there are only a few studies which focused on measuring the driver of cash waqf collection from the employees’ perspective, particularly in the Malaysian context. This study specifically applies the theory of reasoned action to determine employees’ attitudes toward cash waqf fund collections in IBIs in Malaysia. Having an understanding of the factors that influence employees to contribute to cash waqf would better equip IBIs in managing their cash waqf contributions and in designing their marketing and branding strategies for promoting their institutions.

This study aims to examine the multidimensional nature of institutional distance as a driver of acquisition decisions in emerging markets. Then, this study aims to offer a nuanced perspective on the role of its various formal and informal dimensions by taking into account the potential contingency role played by a firm’s context experience.

Building on institutional economics and organizational institutionalism, this study explores the heterogeneity of institutional distance and its effects on the decision to enter emerging versus advanced markets through cross-border acquisitions. Thus, institutional distance is disentangled into its formal and informal dimensions, the former being captured by regulatory efficiency, country governance and financial development. Furthermore, our framework examines the moderating effect of an acquiring firm’s experience in institutionally similar environments, defined as context experience. The hypotheses are analyzed on a sample of 496 cross-border acquisitions by Italian companies in 41 countries from 2008 to 2018.

Findings indicate that at an increasing distance in terms of regulatory efficiency and financial development, acquiring firms are less likely to enter emerging markets, while informal institutional distance is positively associated with such acquisitions. Context experience mitigates the negative effect of formal distance and enhances the positive effect of informal distance.

This study contributes to institutional distance literature in multiple ways. First, by bridging institutional economics and organizational institutionalism and second, by examining the heterogeneity of formal and informal dimensions of distance, this study offers a finer-grained perspective on how institutional distance affects acquisition decisions. Finally, it offers a contingency perspective on the role of context experience.