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The purpose of this paper is to develop a multi-criterion group decision-making (MCGDM) method by combining the regret theory and the Choquet integral under 2-tuple linguistic environment and apply the proposed method to deal with the supplier selection problem.

When making a decision, the decision-maker is more willing to choose the alternative(s) which is preferred by the experts so as to avoid the regret. At the same time, the correlative relationships among the criterion set can be sufficiently described by the fuzzy measures, later the evaluations of a group of criteria can be aggregated by means of the Choquet integral. Hence, the authors cope with the MCGDM problems by combining the regret theory and the Choquet integral, where the fuzzy measures of criteria are partly known or completely unknown and the evaluations are expressed by 2-tuples. The vertical and the horizontal regret-rejoice functions are defined at first. Then, a model aiming to determine the missing fuzzy measures is constructed. Based on which, an MCGDM method is proposed. The proposed method is applied to tackle a practical decision-making problem to verify its feasibility and the effectiveness.

The vertical and the horizontal regret-rejoice functions are defined. The relationships of the fuzzy measures are expressed by the sets. A model is built for determining the fuzzy measures. Based on which, an MCGDM method is proposed. The results show that the proposed method can solve the MCGDM problems within the context of 2-tuple, where the decision-maker avoids the regret and the criteria are correlative.

The paper proposes an MCGDM method by combining the regret theory and the Choquet integral, which is suitable for dealing with a variety of decision-making problems.

In large-scale group decision-making (LSGDM) situations, existing TODIM group decision-making methods often fail to account for the influence of social network relationships and the bounded rationality of decision-makers (DMs). To address this issue, a new TODIM-based group decision-making method is proposed that considers the current trust relationships among DMs in a large-scale trust relationship network.

This method consists of two main stages. In the first stage, the large-scale group is partitioned into several sub-clusters based on trust relationships among DMs. The dominance degree matrix of each sub-cluster is then aggregated into the large-scale group dominance degree. In the second stage, after aggregating the large-scale group dominance degree, the consensus index is calculated to identify any inconsistent sub-clusters. Feedback adjustments are made based on trust relationships until a consensus is reached. The TODIM method is then applied to calculate the corresponding ranking results. Finally, an illustrative example is applied to show the feasibility of the proposed model.

The proposed method is practical and effective which is verified by the real case study. By taking into account the trust relationships among DMs in the core process of LSGDM, it indeed has an impact on the decision outcomes. We also specifically address this issue in Chapter Five. The proposed method fully incorporates the bounded rationality of DMs, namely their tendency to accept the opinions of trusted experts, which aligns more with their psychology. The two-stage consensus model proposed in this paper effectively addresses the limitations of traditional assessment-based methods.

This study establishes a two-stage consensus model based on trust relationships among DMs, which can assist DMs in better understanding trust issues in complex decision-making, enhancing the accuracy and efficiency of decisions, and providing more scientific decision support for organizations such as businesses and governments.

The purpose of this paper is to investigate the impact of the COVID-19 pandemic on company innovation, specifically centering on the quantity and quality of innovation. The paper aims to provide a comprehensive understanding of whether the epidemic inhibits innovation and the role of digital transformation in mitigating this negative impact.

The paper uses a quasi-experimental study of the COVID-19 pandemic and constructs a differential model to analyze the relationship between the epidemic and firm innovation in three dimensions: total, quantity and quality. The paper also uses a difference-in-difference-in-differences model to test whether digital transformation of firms mitigates the negative impact of the epidemic and its mechanism of action.

The results show that COVID-19 significantly reduced the overall level of firm innovation, primarily in terms of quantity rather than quality. Furthermore, this study finds that digital transformation plays a pivotal role in mitigating the pandemic’s adverse impact on innovation. By addressing financing constraints and countering demand insufficiency, digital transformation acts as a catalyst for preserving and fostering innovation during and after the pandemic.

This study extends the current research on the pandemic’s impact on firm innovation at the micro level. It offers valuable insights into strategies for fostering digital transformation among Chinese enterprises in the post-pandemic era.

It is believed that the effectiveness of public service announcements (PSAs) in persuading recipients to engage in the advocated behavior may be influenced by the content of PSAs, the recipient and the context in which the recipient is exposed to the PSA. The purpose of this study is to illustrate the persuasive process of PSAs with respect to these three aspects. Specifically, how the normative appeals used in PSA, affective priming and self-construals of recipients influence the recipients' behavioral intention is investigated.

Between-subject experiments were conducted to collect data. The proposed hypotheses were verified by analysis of variance (ANOVA) and Process macro.

Results show that participants with sad emotional experiences exhibit significantly higher behavioral intention after exposure to PSA compared to those with joy primed. However, the difference in behavioral intention between participants with guilt and neutral emotional experiences was insignificant. Concerning normative appeals, descriptive norms are more persuasive than injunctive norms. In addition, participants' self-construals moderate the relationship between normative appeals and behavioral intention.

First, this study selected a group of college students as participants and used “Empty Your Plate” campaign as stimulus. Future research should test this mechanism with different samples. Second, this study only tested the effect of print advertising. Future research may examine whether these findings still work with advertisement in different formats. Moreover, future research should investigate the impact of priming guilt that is related to the PSA themes on PSAs' persuasive outcomes. Finally, this study only explored the moderating role of self-construals. Other personal traits were not investigated in current study need to be further explored.

The findings of this study provide a more comprehensive understanding of the factors that influence the effectiveness of PSA and have practical implications for PSA practitioners. Firstly, descriptive norms can be used more frequently to improve the effectiveness of PSAs. Secondly, negative emotion exerts a positive influence on persuasive outcomes, so PSA practitioners can arrange media planning more rationally. Furthermore, they can adapt their normative appeals to the self-construal characteristics of their primary audiences to achieve their communication goals more effectively. This study reveals the effectiveness mechanism of PSA in the Chinese context, and thus meets practical needs.

This research will help improve the effectiveness of PSAs to protect the public interest and alleviate social problems by optimizing media planning strategies and increasing the willingness of viewers to change their behavior.

This study enriches theory in PSAs about persuading individuals to engage in prosocial behaviors and provides evidence from China that is rarely seen. In addition, this study contributes to optimizing PSA practice by restoring the actual PSA delivery context in the experimental situation.

The purpose of this paper is to provide high-efficiency and high-power hybrid energy source for an urban electric vehicle. A power management strategy based on fuzzy logic has been introduced for battery-ultracapacitor (UC) energy storage.

The paper describes the design and construction of on-board hybrid source. The proposed energy storage system consists of battery, UCs and two DC/DC interleaved converters interfacing both storages. A fuzzy-logic controller (FLC) for the hybrid energy source is developed and discussed. Control structure has been tested using a non-mobile experimental setup.

The hybrid energy storage ensures high-power ability. Flexibility and robustness offered by the FLC give an easy accessible method to provide a power management algorithm extended with additional input information from road infrastructure or other vehicles. In the presented research, it was examined that using information related to the topography of the road in the control structure helps to improve hybrid storage performance.

The proposed control algorithm is about to be validated also in an experimental car.

Exploratory studies have been provided to investigate the benefits of energy storage hybridization for electric vehicle. Simulation and experimental results confirm that the combination of lithium batteries and UCs improves performance and reliability of the energy source. To reduce power impulses drawn from the battery, power management algorithm takes into consideration information on slope of a terrain.

The positioning of a tourism destination can easily change due to external uncontrolled factors, such as a pandemic. In this scene, the purpose of this study can be summerized in two main points: to investigate the main topics associated with a religious tourism destination (Vatican City) before and from the pandemic crisis, and to identify potential topics that could be highlighted to reposition this tourism destination more favorably.

The information was extracted from Trip Advisor, specifically from the web Vatican City (7,152 reviews). This information was analyzed using text mining software applied to English text data.

The results show that the image of Vatican City has evolved, from a larger cultural, artistic and historical destination to a destination with a strong religious orientation, probably due to the growing influence of tourists and pilgrims in search of spiritual consolation in a global health crisis. New comments have emerged in the pandemic on topics such as Pope, Catholicism and love.

The authors recommend repositioning this tourism destination under what they have dubbed the umbrella of the three “Rs”: religion, renaissance and relaxation. Also, two outstanding attractions are frequently mentioned by tourists in this more spiritual scenario: Saint Peter’s Basilica and Sistine Chapel.

Studies about religious tourism are scarce, and those considering an urban city as a key religious tourism destination even more.

Given the contradictory findings of standardization/adaptation of marketing strategy in explaining export performance in the extant research, this study aims to examine the contingent effects of managerial ties and born global orientation in the standardized advertising-export performance conceptualization.

The study used two-respondent method in the survey research by a sample of 155 exporting firms operating in the industrial marketing based in Australia and New Zealand and applied hierarchical regression analysis to test the hypotheses.

The findings demonstrate that standardized advertising has a significant effect on export performance and this relationship is positively moderated by business ties. Such effect is particularly enhanced for born global firms (than nonborn global firms). However, political ties negatively influence the impact of standardized advertising on performance and such effect is stronger for born global firms.

A broader perspective of contingent variables should be included to examine the underlying relationship between standardized advertising and export performance in capturing the dynamism in international marketing contexts, such as institutional frameworks or sociocultural environments in host countries.

Standardized advertising is critical for born global firms’ export performance as it can increase efficiency and speed up internationalization processes. Such positive impact of standardized advertising on export performance is further enhanced if born global firms allocate resources to develop strong business ties with host country partners instead of building political ties with host country governments, because smooth business networking can facilitate standardized advertising on industrial marketing, yet justifiable political relations require intricate negotiations that often prolong internationalization progress.

This study incorporates managerial ties and born global orientation as contingent factors in fixing the theoretic interlock between standardization advertising strategy and export firm performance.