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This study aims to provide a time- and price-sensitive market strategy for merchants to handle the markdown price strategy. The market demand for perishable products is usually price – and quality (freshness) – sensitive. The proper handling of markdown-price strategies can help merchants enhance competitiveness and maximize operational performance.

A markdown strategy consisting of price and markdown time was developed to explore the properties of market strategies based on the dynamic quality evaluation. The strategy considers multiple price discounts and multiple markdown times. The optimal price decisions in each stage and the optimal markdown times were derived during the selling season.

The results showed the following. A retailer always raises the initial price if it wants to adopt multiple price-markdown strategies. A high initial price may lead to a high inventory at the early stage and bring the next price reduction in advance. Large price discounts can be used to reduce the inventory later. The higher the previous price, the shorter the interval between the next price reduction. The markdown strategies showed that the regular discount as a new business model is not the best pricing model for perishable products. A time- and price-sensitive strategy, however, can increase operational performance and provide new insights for perishable products.

The results showed the following. A retailer always raises the initial price if it wants to adopt multiple price-markdown strategies. A high initial price may lead to a high inventory at the early stage and bring the next price reduction in advance. Large price discounts can be used to reduce the inventory later. The higher the previous price, the shorter the interval between the next price reduction. The markdown strategies showed that the regular discount as a new business model is not the best pricing model for perishable products. A time- and price-sensitive strategy, however, can increase operational performance and provide new insights for perishable products.

Previous studies have shown that the application of information technology (IT) can help break through the innovation boundaries of firms and has undoubtedly become a key enabler of collaborative innovation. These studies, however, are mainly based on theoretical analysis and case studies, and little is empirically known about the relationship between IT investments and collaborative innovation. Therefore, the purpose of this study is to empirically explore how firms' IT investments affect the firms' collaborative innovation performance. The authors also examine the moderating roles of the top management team's (TMT's) educational background and absorptive capacity in this relationship.

The authors collected data on 2,097 listed Chinese manufacturing companies and used the ordinary least squares (OLS) method to perform regression analysis. In addition, the authors conducted robustness tests using the propensity score matching (PSM) method and the instrumental variable method.

The results show that the relationship between IT investments and collaborative innovation is inverted, U-shaped and curvilinear. In addition, the TMT's educational background and absorptive capacity positively moderate the inverted U-shaped relationship between IT investments and collaborative innovation.

The study's findings on the relationship between IT investments and collaborative innovation differ from previous mainstream findings that recognized a positive linear relationship. The authors' findings deepen the understanding of the dual role of IT investments. Moreover, this research helps expand the contingency perspective in IT investments and collaborative innovation research.

“Metaverse” has become a buzzword in the Chinese stock market. However, it remains unclear whether a firm's metaverse-related announcements will elicit positive stock market reactions. Whether and how stakeholder reactions are influenced by a firm's metaverse-related readiness also needs to be further explored. This study aims to discuss the aforementioned objective.

The authors derived a set of factors based on readiness theory and business ecosystem literature and extend them into the context of the metaverse. The authors used a sample of 642 Chinese listed firms in 2021 to investigate the hypotheses through the event study.

The study’s findings show that metaverse coverage induces a positive stock market reaction, but it is subject to three moderating effects. The authors introduce the novel concepts of IT readiness, ecosystem readiness and digital infrastructure readiness as the moderators. Stakeholders perceive metaverse announcements as overhyped, and stock prices do not fluctuate significantly after a metaverse announcement when the listed firms are not ready to embrace the metaverse.

This study is one of the first that introduces the event study method into the metaverse research, and it reveals that different levels of readiness influence stakeholders' evaluations and reactions to corporate metaverse coverage. This provides empirical evidence on metaverse development in China from the stock market's perspective.

With the exigencies of health-care service quality to actualize sustainable socio-economic and developmental aspirations, in both peripheral and core countries, this paper aims to provide empirical evidence on health-care service quality and its precursor – patients’ satisfaction, and continuous service utilization.

A total of 398 screened questionnaires were analyzed from selected hospitals of the Koforidua, Ghana. Findings from the structural equation modeling showed a significant association among perceived quality, patients’ satisfaction and tangibility. Contrary to the expectations, the results did not show a significant association among the constructs – perceived quality, safety and empathy. Again, the model fit indices collaboratively showed that the hypothesized model overwhelmingly “fit” the sample data, and further proved the predictive robustness of the model.

The results of the analysis demonstrate that patients were discontent with empathy and safety measures at the hospitals. However, tangible and perceived quality were identified as significant predictors of patients’ satisfaction.

There is a dearth of empirical investigations on the assessment of health-care service quality and patients’ satisfaction in developing economies such as Ghana. Therefore, the implication of the study will equip the top hierarchy of the Health System of Ghana in achieving their mission, and objectives in line with quality service delivery. In particular, MoH and GHS can embark on a routine exercise to audit the hospitals for re-accreditation, and provide CCT cameras to improve safety and security conditions at the hospitals, while enforcing the culture of receptive hospital environment to improve empathy.

The purpose of this paper is to examine how signals of uncertainty in the media affect retail investor decisions and initial public offering (IPO) underpricing through theoretical and empirical methods.

The authors construct a theoretical model of the influence of media signals on IPO pricing, which describes the micro process in which uncertain signals in media influence retail investors’ decisions and IPO underpricing. Besides, the authors take 516 small and medium-size enterprises (SMEs) listed in A-share from July 2009 to December 2012 as samples for empirical tests and establish an in-depth learning model for text analysis with Java programming to measure Chinese media tone. Finally, the results of the model analysis are verified by empirical results.

The results show that authoritative media with high credibility can reduce the uncertainty of information sources attract more investors’ attention and improve the valuation and demand of retail investors. The higher the media credibility is the higher the IPO underpricing rate is. The uncertain tone of the media will increase the decision-making cost of investors reduce the valuation expectation and demand of the secondary market and lead to a lower IPO underpricing rate.

The authors study the influence of the uncertainty of media source and media content on the degree of IPO underpricing of SMEs. This is a useful supplement to the Chinese media tone research system that is still in the exploration stage. The research has reference value for government regulation and investor decision-making.

As social networking sites (SNSs) gain popularity, they are being widely used by entrepreneurs to obtain social capital to carry out business ventures. However not all SNS usage behaviors promote entrepreneurship. Only when individuals actively participate in SNSs relationship maintenance behaviors they can obtain resources that are conducive to promoting social entrepreneurship. The aim of this study is to explore the role of WeChat relationship maintenance behavior (WRMB) on social entrepreneurial intention (SEI) with dual narcissism as an essential antecedent that affects SNS use.

Based on dual narcissism theory and the theoretical framework that networking is a critical skill and activity for the success of social entrepreneurship, this study proposes a serial mediation model that explores the formation of SEI. This study collected data from a sample of 275 MBA students in China and applied multiple regression and confirmatory factor analysis techniques to test the research model.

The results reveal narcissistic admiration (NA) is positively associated with WRMB, while narcissistic rivalry (NR) is negatively associated with such behavior. And the positive impact of NA on SEI can be explained by WRMB and social capital paths, while the negative impact of NR cannot.

This research is the first application of dual narcissism in the field of SEI, which provides a new way to explain the antecedents of SEI under the social network. The findings provide an effective reference path for social entrepreneurship education in universities and educational institutions and enlighten the correct distinction between dual narcissism in entrepreneurial psychological consultation.