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The rising occurrence of digitally driven public consumer complaints has made it necessary for enterprises to obtain consumer forgiveness. However, existing research has provided little understanding regarding how to obtain consumer forgiveness effectively. Thus, the present study examined how brand avatars can improve consumer forgiveness in the context of public apology.

This study tested the mechanism of a brand avatar on consumer forgiveness using three studies. Specifically, we explored the direct and mediating effect of empathy toward a brand (Study 1); we identified the moderating mediating effect of humorous responses (Study 2) and product type (Study 3). Data for these studies were collected on Credamo. We analyzed the data using SPSS (26.0) for the primary analysis and PROCESS (3.5) for the mediating and moderating mediating analysis.

The results indicate that brand avatars enhance consumer forgiveness. Moreover, empathy toward a brand plays a mediating role in the effect of brand avatars on consumer forgiveness. Additionally, when a humorous response is present, a brand avatar can enhance customer forgiveness through empathy toward that brand. Compared to utilitarian products, hedonic products can also increase the impact of a brand avatar on empathy toward the brand, thus enhancing consumers' forgiveness.

From the perspective of emotion, this study explored the impact of brand avatars on consumer forgiveness via empathy toward a brand. It augments the research on brand avatars and consumer forgiveness. The study also verified the moderating mediating effect of humor response and product type while expanding the brand avatar research boundary.

This paper aims to explore the adsorption kinetics of syringin from Syringa oblata Lindl. leaves on macroporous resin and develop an efficient, simple and recyclable technology for the separation and purification of syringin.

Static adsorption and desorption properties of six resins were tested to select a suitable resin for the purification of syringin. Langmuir and Freundlich isotherm models were used to estimate the adsorption behavior of syringin on AB-8 resin. Breakthrough point and eluent volume were determined by dynamic adsorption and desorption tests. High-performance liquid chromatography-electrospray ionization-mass spectrometry was applied to identify the syringin in the purified product [syringin product (SP)]. Antioxidant and antibacterial activities of SP in vitro were evaluated by free radical scavenging ability and biofilm formation inhibitory tests.

AB-8 exhibited the most suitable adsorption and desorption capacity. Adsorption isotherm parameters indicated favorable adsorption between AB-8 and syringin. The optimal results were as follows: for adsorption, the sample concentration was 1.85 mg/mL, the sample volume was 3.5 bed volume (BV), the flow rate was 0.5 mL/min; for desorption, the ethanol concentration was 70%, the elution volume was 2.5 BV, the elution velocity was 1.0 mL/min. SP with 80.28% syringin displayed the potent antioxidant activities and inhibitory effects on biofilm formation of Streptococcus suis.

To the best of authors’ knowledge, there are no reports on purifying syringin from Syringa oblata Lindl. leaves using macroporous resins. This paper may also provide a theoretical reference for the purification of other phenylpropanoid glucosides.

Scientific impact is traditionally assessed with citation-based metrics. Recently, altmetric indices have been introduced to measure scientific impact both within academia and among the general public. However, little research has investigated the association between the linguistic features of research article titles and received online attention. To address this issue, the authors examined in the present study the relationship between a series of title features and altmetric attention scores.

The data included 8,658 titles of Science articles. The authors extracted six features from the title corpus (i.e. mean word length, lexical sophistication, lexical density, title length, syntactic dependency length and sentiment score). The authors performed Spearman’s rank analyses to analyze the correlations between these features and online impact. The authors then conducted a stepwise backward multiple regression to identify predictors for the articles' online impact.

The correlation analyses revealed weak but significant correlations between all six title features and the altmetric attention scores. The regression analysis showed that four linguistic features of titles (mean word length, lexical sophistication, title length and sentiment score) have modest predictive effects on the online impact of research articles.

In the internet era with the widespread use of social media and online platforms, it is becoming increasingly important for researchers to adapt to the changing context of research evaluation. This study identifies several linguistic features that deserve scholars’ attention in the writing of article titles. It also has practical implications for academic administrators and pedagogical implications for instructors of academic writing courses.

This paper aims to understand how cultural and creative industries (CCIs) contribute to regional innovation.

This paper explores the process of CCIs contributing to regional innovation and assesses the accumulated outcome of this process.

The authors conclude that CCIs contribute to a city’s innovation involving five dimensions (time, space, tangible, intangible and division) and four phases (people, tool, collaboration and brokerage) and the contributions are accumulated into positive innovation outcome; however, a highly developed economy is relatively unsupportive of CCIs contributing to regional innovation.

The main contributions are that the authors configured the detailed process of CCIs contributing to regional innovation and the authors quantitatively measured the impact of CCIs on regional innovation, using the Porter diamond model and Shannon entropy to construct the CCI index.

The preservation and disappearance of indigenous people’s traditional knowledge system, under mainstream social culture immersion and fusion, have presented a dynamic and changing acculturation interactive relationship impacting Truku women’s health concepts. Thus, the purpose of this paper is to explore how the traditional Gaya knowledge system and mainstream culture confinement care model affect the beliefs and behaviours of postpartum self-care amongst contemporary Truku women.

An ethnographic semi-structured method, based on cultural care factors and the Leininger Sunrise Model, was conducted to interview 17 Truku women with childbearning experience in eastern Taiwan. As data were collected, UDIST Vivo 11.0 software was applied for analysis.

Amongst the three knowledge system categories, namely, traditional, mainstream and reconstruction, the traditional knowledge system, including Gaya norms, provides the overall cultural value of a Truku family. While taboo is inherited through the experience of the elders, the mainstream knowledge system favours the Han. However, the reconstruction knowledge system highlights the “functional” response strategies based on Truku women’s comfort and conveniences.

Limited relevant studies have focused on the health and postpartum self-care knowledge of ethnic Truku women in Taiwan. The results are expected to provide clinical medical personnel with a reference and strengthen cultural sensitivity and the ability to implement the cultural congruency care of postpartum indigenous women in Taiwan.

Although interorganizational learning has attracted substantial attention, research about its effects on green innovation is still rare. Combining theories of organizational learning and absorptive capacity, this study explores the relationships among interorganizational learning, green knowledge integration capability (GKIC) and green innovation (GI), and analyzes the moderating role of green absorptive capacity (GAC). Based on resource-based and ambidexterity theories, this study focuses on vertical exploitative (VEL) and lateral explorative learning (LEL). This study expands the research of GI by proposing two different interorganizational learning mechanisms and uncovering the intricate relationship between them and GI.

Based on a sample of 203 Chinese manufacturing firms, the authors used a hierarchical regression analysis and bootstrap method to test the theoretical framework and research hypotheses of this paper.

Results show that VEL and LEL have positive effects on GI. GKIC partially mediates the relationship between VEL and GI and completely mediates the relationship between LEL and GI. Moreover, GAC plays a moderating role between LEL and GKIC and moderates the effect of LEL on GI via GKIC, such that the effect is stronger when GAC increases. However, it does not moderate the relationship between VEL and GKIC.

First, founded on resource-based and ambidexterity theories, this study considers two dimensions of interorganizational learning, VEL and LEL. Second, by testing the mediating role of GKIC, the authors provide a theoretical lens to understand the relationship between interorganizational learning and GI. Third, by examining boundary conditions of GAC, the authors enrich organizational learning and absorptive capacity theory in the context of green development.

This study aims to develop an interface management risk interaction modeling and analysis methodology applicable to complex systems in high-speed rail construction projects, reveal the interaction mechanism of interface management risk and provide theoretical support for project managers to develop appropriate interface management risk response strategies.

This paper introduces the association rule mining technique to improve the complex network modeling method. Taking China as an example, based on the stakeholder perspective, the risk factors and significant accident types of interface management of high-speed rail construction projects are systematically identified, and a database is established. Then, the Apriori algorithm is used to mine and analyze the strong association rules among the factors in the database, construct the complex network, and analyze its topological characteristics to reveal the interaction mechanism of the interface management risk of high-speed rail construction projects.

The results show that the network is both scale-free and small-world, implying that construction accidents are not random events but rather the result of strong interactions between numerous interface management risks. Contractors, technical interfaces, mechanical equipment, and environmental factors are the primary direct causal factors of accidents, while owners and designers are essential indirect causal factors. The global importance of stakeholders such as owners, designers, and supervisors rises significantly after considering the indirect correlations between factors. This theoretically explains the need to consider the interactions between interface management risks.

The interaction mechanism between interface management risks is unclear, which is an essential factor influencing the decision of risk response measures. This study proposes a new methodology for analyzing interface management risk response strategies that incorporate quantitative analysis methods and considers the interaction of interface management risks.

In public firms, the largest shareholder can make decisions on cash dividends in favor of its own interests at the expense of other investors. While the second largest shareholder can actively participate in corporate governance and protect the interests of investors, its impact has not been fully understood. This research investigates how shareholding ratio and ownership type of the second largest shareholder moderate the relationship between controlling shareholder's shareholding ratio and cash dividends.

The authors conducted econometrics analysis based on a panel data of China's A-share listed companies from 2007 to 2017.

The authors find that the controlling shareholder's shareholding ratio has a significant negative impact on cash dividends. However, this influence is conditional on the shareholding ratio of the second largest shareholder. The negative impact is weakened when the second largest shareholder holds a large proportion of shares or when the shareholding gap between the second largest and the controlling shareholder is small.

This research extends the existing literature by highlighting the nuanced moderating effect of the second largest shareholder on the relationship between the controlling shareholder and cash dividends, thus making a unique contribution to the understanding of corporate governances in the emerging financial market in China.

Employees’ information security policy (ISP) compliance exerts a significant strain on information security management. Drawing upon the compliance theory and control theory, this study attempts to examine the moderating roles of organizational commitment and gender in the relationships between reward/punishment expectancy and employees' ISP compliance.

Using survey data collected from 310 employees in Chinese organizations that have formally adopted information security policies, the authors applied the partial least square method to test hypotheses.

Punishment expectancy positively affects ISP compliance, but reward expectancy has no significant impact on ISP compliance. Compared with committed employees, both reward expectancy and punishment expectancy have stronger impacts on low-commitment employees' ISP compliance. As for gender differences, punishment expectancy exerts a stronger effect on females' ISP compliance than it does on males.

By investigating the moderating roles of organizational commitment and gender, this paper offers a deeper understanding of reward and punishment in the context of ISP compliance. The findings reveal that efforts in building organizational commitment will reduce the reliance on reward and punishment, and further controls rather than the carrot and stick should be applied to ensure male employees' ISP compliance.

The purpose of this paper is to investigate the effect of subjective well-being on individual innovation behavior. The authors propose that such effect is mediated by knowledge sharing, and individual absorptive capacity moderates the relationship between knowledge sharing and innovation behavior.

A research model was developed. Survey data were based on a sample of 220 employees from 20 enterprises in China. Hierarchical multiple regression analyses and bootstrap approach were applied to test the research model.

Subjective well-being has significantly positive influence on individual innovation behavior, and this effect is mediated by knowledge sharing. Furthermore, absorptive capacity moderates the mediated relationships between subject well-being and individual innovation behavior via knowledge sharing.

This research sheds light on an effective role to promote individual innovation behavior in management practices. It suggests that harmonious atmosphere, communication platform, and well-established learning plans can be cultivated to enhance individual innovation ability.

This research discusses the antecedent of innovation behavior from the viewpoint of individual psychology, and identifies the different roles of knowledge sharing and absorptive capacity on individual innovation behavior.