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This paper aims to describe the results of four studies that examine the interaction effects between locus of causality and social presence on consumers’ emotional response to a service failure and how they subsequently cope with the negative emotional experiences through support-seeking or vindictive negative word-of-mouth (NWOM).

To evaluate the research hypotheses, one online content analysis study and three experiments were conducted.

The results of the four studies show that when locus of causality information is not available (Studies 1 and 2), consumers are more likely to engage in support-seeking NWOM when there is social presence (versus no social presence). When a service failure is externally/internally attributed, social presence leads to less/more vindictive NWOM (Studies 3 and 4). The results clarify the underlying affective processes (frustration, anger and embarrassment) that account for the unique interaction effects involving locus of causality and social presence on NWOM.

Despite promising progress in both social presence and service failure research, scholarly attempts aiming to draw the theoretical linkages between these two streams are relatively scarce, and it remains unknown regarding whether and how social presence influences NWOM in the event of service failure. Against this backdrop, this research examines the effects of social presence on consumer NWOM in service failure. The authors further contribute to both research streams by testing the effects of an important set of emotions as mediators, as well by exploring the conditions under which a particular emotion is more predictive of its corresponding outcomes. These findings offer important insights that help service managers effectively mitigate customer NWOM at the point of service delivery.

The confirmation of receipt of orders by consumers means that the online retailer actually receives the payments on many retail platforms (e.g. Taobao). In order to recoup funds as soon as possible, the retailer will take steps (e.g. improving the level of delivery and adopting a rebate policy) to encourage consumers to confirm receipt earlier. It is significant for the retailer to identify an appropriate strategy and determine the optimal product price. To address the above issues, this paper examines and compares the pricing strategies and profits under different strategies to show some managerial insights for the retailer's decision-making.

In this paper, the authors discuss four models, i.e. adopting common delivery and offering consumers no rebates, adopting common delivery and offering rebates, adopting fast delivery and offering no rebates and adopting fast delivery and offering rebates, which the retailer may consider. Under different models, consumer utility and firm's profit structure are disparate. After comparing the retailer's profits under four models, the optimal strategy, profit and product price are obtained.

Some interesting results are as follows. When the cost of fast delivery is not very high, improving the level of delivery would bring more profit to the retailer and create a positive impact on consumers. Interestingly, our results also show that offering proper rebates to stimulate consumers to confirm receipt early only serves to improve the profit only when the motivation of consumers to confirm the receipt is very low. Moreover, the authors find that a higher level of delivery services can promote the implementation of the rebate policy to improve the retailer's earnings.

This paper is the first study on the transaction mode of retail platforms and the problem of confirming receipt by a model-based method.

Most firms in the fashion industry frequently design and promote new products, which leads to a two-period phenomenon in product sales. This study aims to examine the optimal advertising efforts of each channel member and the subsidy strategies of the manufacturer with retail competition in a two-period supply chain.

By utilizing the game theory, this study developed a cooperative advertising model that considers the element of retailer competition in a two-period supply chain.

The main results of this study are as follows. An increase in the subsidy rate of one retailer’s advertising cost will lead to a decrease in the share of the other. When a manufacturer’s marginal profit from one retailer is considerably larger than that from the other, the manufacturer will share more advertising cost with the former. This study demonstrates that a bilateral participation contract can achieve supply chain coordination and increases the likelihood of retailers to participate in this contract when competition effect is small.

First, product price is not a decision variable in this model. This concern can be studied in future work. Second, the one-manufacturer and two-retailer supply chain can be expanded to competitive manufacturers.

This study provides some decision references for the manufacturer and retailer on advertising strategies. The manufacturer can also gain insights into cooperative advertising strategy when facing a competitive retail environment.

Most previous studies related to cooperative advertising focused on a single-period supply chain. This study investigates cooperative advertising strategy with retail competition in two-period sales and explores the potential coordinating power of a bilateral participation contract.

Knowledge organization (KO) has been advancing at a progressively rapid pace under the influence of information technology. This study aims to explore the topics, characteristics, and trends of KO research in the 21st century.

The full text of 4,360 KO-related articles published from 2000 to 2021 is collected. Through content analysis, this study identifies the topics, research methods, and application areas of each article, and the statistics are presented through a series of visualizations.

In total, 13 main topics, 105 sub-topics, 16 research methods, and 57 application areas are identified. Notably, classification has always been an important topic, while linked data, automated techniques, and ontology have become popular topics recently. Significant changing features have also occurred. The versatile use of research methods has increased, with empirical research becoming the mainstream. Application areas show a trend of refinement from subject areas to specific scenarios. Construction techniques present a combination of automated techniques, crowdsourcing, and experts.

KO has evolved and diversified due to technological developments. This study is the first to focus on the continuous changing features over an extended, 21-year period, as opposed to sampling a few years. It also provides clues and insights for researchers and practitioners interested in KO to understand how it has changed in the Semantic Web and big data context.

The purpose of this paper is to adopt both the fragments of imidazole and thiosemicarbazide as reaction centers, to synthesize a water-soluble corrosion inhibitor named as thiosemicarbazide-imidazole derivative (TH-IM).

This paper presents potentiodynamic polarization tests, electrochemical impedance spectroscopy tests and morphology study of metal surface by scanning electron microscope and thermodynamic study.

In the aggressive condition of CO₂ saturated Wt. NaCl solution at 333 K for 72 h with 400 ppm inhibitor dosage, the efficiency of inhibition increases approximately 98 per cent through the method of weight loss.

This paper finds a new corrosion inhibitor about TH-IM which has a good solubility in water.

The purpose of this review is to comprehensively consider the material properties and processing of additive titanium alloy and provide a new perspective for the robotic grinding and polishing of additive titanium alloy blades to ensure the surface integrity and machining accuracy of the blades.

At present, robot grinding and polishing are mainstream processing methods in blade automatic processing. This review systematically summarizes the processing characteristics and processing methods of additive manufacturing (AM) titanium alloy blades. On the one hand, the unique manufacturing process and thermal effect of AM have created the unique processing characteristics of additive titanium alloy blades. On the other hand, the robot grinding and polishing process needs to incorporate the material removal model into the traditional processing flow according to the processing characteristics of the additive titanium alloy.

Robot belt grinding can solve the processing problem of additive titanium alloy blades. The complex surface of the blade generates a robot grinding trajectory through trajectory planning. The trajectory planning of the robot profoundly affects the machining accuracy and surface quality of the blade. Subsequent research is needed to solve the problems of high machining accuracy of blade profiles, complex surface material removal models and uneven distribution of blade machining allowance. In the process parameters of the robot, the grinding parameters, trajectory planning and error compensation affect the surface quality of the blade through the material removal method, grinding force and grinding temperature. The machining accuracy of the blade surface is affected by robot vibration and stiffness.

This review systematically summarizes the processing characteristics and processing methods of aviation titanium alloy blades manufactured by AM. Combined with the material properties of additive titanium alloy, it provides a new idea for robot grinding and polishing of aviation titanium alloy blades manufactured by AM.

This paper aims to understand the current development situation of scientific data management policy in China, analyze the content structure of the policy and provide a theoretical basis for the improvement and optimization of the policy system.

China's scientific data management policies were obtained through various channels such as searching government websites and policy and legal database, and 209 policies were finally identified as the sample for analysis after being screened and integrated. A three-dimensional framework was constructed based on the perspective of policy tools, combining stakeholder and lifecycle theories. And the content of policy texts was coded and quantitatively analyzed according to this framework.

China's scientific data management policies can be divided into four stages according to the time sequence: infancy, preliminary exploration, comprehensive promotion and key implementation. The policies use a combination of three types of policy tools: supply-side, environmental-side and demand-side, involving multiple stakeholders and covering all stages of the lifecycle. But policy tools and their application to stakeholders and lifecycle stages are imbalanced. The development of future scientific data management policy should strengthen the balance of policy tools, promote the participation of multiple subjects and focus on the supervision of the whole lifecycle.

This paper constructs a three-dimensional analytical framework and uses content analysis to quantitatively analyze scientific data management policy texts, extending the research perspective and research content in the field of scientific data management. The study identifies policy focuses and proposes several strategies that will help optimize the scientific data management policy.

This paper aims to address the following problems: What are the firms’ optimal pricing and quality policies under three scenarios (no bundling, pure bundling and mixed bundling)? In what condition will one bundling strategy dominate the others? How does the degree of complementarity affect the firms’ decision?

Using the game theory, this study first establishes three models of bundling strategies: no bundling, pure bundling and mixed bundling and then obtains the optimal prices and quality decisions. This study uses numerical analysis to explore the relationships between the prices (demands and profits) and some key parameters and to obtain some valuable management complications.

Some interesting and valuable management implications are established: regardless of the degree of complementarity, adopting a pure bundling or mixed bundling strategy is better than separately selling an individual product; a high degree of complementarity leads to reduced profit in the no bundling and mixed bundling scenarios, whereas the condition in the pure bundling strategy is the opposite; and when the degree of complementarity is adequately large, choosing pure bundling strategy is more profitable.

On the one hand, this study does not calculate the profit sharing ratio, and hence, the equilibrium profit sharing ratio can be explored in future work. On the other hand, marketing efforts (e.g. advertising and promotion) can be included in the study.

This study derives the necessary conditions for the most effective bundling strategy that maximizes firm’s profits, and these conclusions can provide a decision reference to the bundling decisions of firms.

First, the optimal bundling strategies in a horizontal supply chain consisting of two firms is considered. Under the pure and mixed bundling strategies, the two firms sell the bundled product by building a cooperative program. Second, both the pricing policies and quality decisions of supply chain members under the different bundling strategies are studied.

This paper aims to clear whether the monopoly structure of the internet industry has produced market power and discussed the welfare change of the internet industry monopoly.

By using new empirical industrial organization methods and taking the e-commerce market as an example, the authors measured market power and economies of scale of the internet platform companies.

Internet platform enterprises have formed scale economy, but it has not had market power, and the industry still maintains high levels of competition; also, the emergence of large enterprises may increase the welfare of consumers.

The conclusion of this paper clarified actual competition status of internet industry and provided a new foothold for regulation and ideas for the traditional industry to crack the Marshall Conflict.

As China’s e-commerce and cross-border e-commerce rapidly develop, the cross-border e-commerce supply chain exhibits characteristics of globalized development scale, collaborative multiparty participation, streamlined management processes, digitalized production and trade and flexible strategic choices. It tends toward data-driven intelligence, interoperable information collaboration, personalized order responses, sustainable supply chain management and secure blockchain technology. These characteristics and trends provide critical references for businesses, governments and investors.

In response to issues such as inconsistent legal regulations, imbalanced logistics and transportation, imperfect payment settlements and opaque supply chains.

It is recommended to take measures to strengthen cooperation and communication, optimize logistics, reduce customs clearance difficulties, reinforce safeguard measures and promote sustainable development, collectively fostering the healthy growth of cross-border e-commerce.

With the rapid development of cross-border e-commerce, green and low-carbon initiatives have become a significant trend in this sector. The cross-border e-commerce supply chain refers to the mechanism that reduces environmental impacts and enhances resource efficiency from manufacturers to consumers. It primarily involves manufacturers, e-commerce platforms, logistics companies and payment and settlement processes. The cross-border e-commerce supply chain is gradually becoming a highlight in China’s foreign trade, supporting the concept of “buying globally and selling globally” and connecting the “world’s factory” with the “world’s market.”