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The purpose of this paper is to explore the structural relationships among skepticism, experiential risk, cognitive dissonance, experiential quality, brand experience and experiential satisfaction, switching intentions and switching behavior from the perspective of green branding.

A questionnaire survey was used to collect data from consumers who had purchased environmental shampoos, obtaining 613 valid samples which were analyzed with structural equation modeling.

The results indicate that green brand experiential risk, green brand cognitive dissonance, green brand experiential quality and green brand experience influence green brand experiential satisfaction. In addition, green brand experiential satisfaction has an impact on green brand switching intentions, which, in turn, positively influence green brand switching behavior.

To decrease the perceptions of green brand skepticism, green brand experiential risk, green brand cognitive dissonance, green brand switching intentions and green brand switching behavior and increase the perceptions of green brand experiential quality, green brand experience and green brand experiential satisfaction, the findings will help environmental organizations develop and implement market-orientated product strategies.

The results provide a better understanding of the relationships among skepticism, experiential risk, cognitive dissonance, experiential quality, brand experience, experiential satisfaction, switching intentions and switching behavior in an environmental context.

As Chinese Generation Z consumers have distrust over traditional advertising and marketing, this study focuses on user-generated content (UGC) travel apps to demonstrate the structural relationship among the expertise of amateur information publisher, interactive atmosphere, information quality, expectation confirmation, perceived trust, experiential satisfaction and switching intention.

This study carried out a questionnaire-based survey among Chinese Generation Z consumers and obtained 356 valid questionnaire copies that were analyzed with the structural equation.

The expertise of amateur information publisher and the interactive atmosphere of UGC travel apps have positive effects on perceived trust; expectation confirmation and perceived trust have positive effects on experiential satisfaction, and experiential satisfaction has negative effects on switching intention.

The results should encourage UGC travel app developers to use visual effects so as to achieve a higher quality of information, foster a cordial interactive atmosphere and enhance the expertise of information publishers by selecting the best candidate, thus spurring the design of marketing activities popular among the Chinese Generation Z consumers.

This study argues that new-generation consumers have their specific appeals and in the tourist market. It explores the UGC travel apps, which are popular among Generation Z consumers in order to deepen marketing personnel's understanding of the relationship among the expertise of amateur information publisher, interactive atmosphere, information quality, expectation confirmation, perceived trust, experiential satisfaction and switching intention.

In the initial stage of product design, product portfolio identification (PPI) aims to translate customer needs (CNs) into product specifications (PSs). This is an essential task, since understanding what customers really want is at the center of product design. However, design information is incomplete and design knowledge is minimal during this stage. Furthermore, PPI is often a confusing and frustrating task, especially when customer preferences are changing rapidly. To facilitate the task, the purpose of this paper is to capture the time-sensitive mapping relationship between CNs and PSs.

This paper proposes a design sequential pattern mining model to uncover implicit but valuable knowledge from chronological transaction records. First, CNs and PSs from these records are transformed and connected according to the transaction time. Second, procedures such as litemset generation, data transformation and pattern mining are conducted based on the AprioriAll algorithm. Third, the uncovered patterns are modified and applied by engineers.

Using the retrieved patterns, engineers can keep up with the dynamics of customer preferences with regard to different PSs.

Computational experiments on a case study of customization of desktop computers show that the proposed method is capable of extracting useful sequential patterns from a design database.

Considering the times tamps of the transactions, a sequential pattern mining-based method is proposed to extract valuable patterns. These patterns can help engineers identify market trends and the correlation among PSs.

Given that several publicly announced international merger and acquisition deals have been abandoned in recent years, the purpose of this paper is to present a synthesis of influential articles that examine organizational characteristics of cross-border acquisition transactions. The synthesis is framed through general traits and resources, learning and prior acquisition experience, and top-level management and governance attributes. Specifically, the paper conceptualizes key organizational attributes influencing the propensity of cross-border negotiations, and the most common characteristics and post-deal effects by illustrating several case examples from around the world.

Owing to fairness and integrity principles of the literature survey studies, the paper adopts an exploratory review design to present a synthesis of several influential articles published in strategy, international business and corporate finance journals. Since case method and storytelling are the best qualitative approaches to conceptualizing extant theoretical contributions, a number of case examples—successful, delayed and abandoned—from around the world have been discussed by leveraging the case information from archival sources.

Drawing on resource-based view, organizational learning, upper echelons and agency theory perspectives, the paper underscores three observations. First, organizational characteristics such as firm age, firm size, ownership structure, slack resources, marketing resources, technological intensity, export intensity and business group affiliation have different impacts on the propensity of publicly announced cross-border deals. Second, firm’s prior acquisition experience and firm’s acquisition experience in the target country have positive or moderating effects on the success of a cross-border merger. Third, top-level management characteristics such as CEO foreign nationality and CEO international career experience, and governance characteristics such as board size, the number of independent directors and directors with overseas experience, have mixed effects on the incidence of cross-border acquisitions.

The paper puts forth several recommendations for top-level managers participating in cross-border acquisition negotiations, such as learning from peers in the same industry, learning from predecessors in the target country and learning from failure negotiations in the same industry and other industries.

Nested within the organizational, international business strategy and corporate finance literature, the paper presents a synthesis of influential publications that study organizational characteristics affecting the propensity of cross-border acquisitions. The cases discussed in this paper are unique examples from around the world.

The complex network structure causes several disruptions in the supply chain that make risk management essential for supply chain management including halal supply chain (HSM). During risk management, several challenges are associated with the risk assessment phase, such as incomplete and uncertain information about the system. To cater this, the authors propose a risk assessment framework that addresses the issues of uncertainty using neutrosophic theory and demonstrated the applicability of the proposed framework through the case of halal supply chain management (HSCM).

The proposed framework is using the capabilities of the neutrosophic number which can handle uncertain, vague and incomplete information. Initially, the risk related to the HSC is identified through a literature review and expert’s input. Further, the probability and impact of each HSM-related risk are assessed using experts’ input through linguistic terms. These linguistic values are transformed into single-value trapezoidal neutrosophic numbers (SVTNNs). Finally, the severity of each HSM-related risk is determined through the multiplication of the probability and impact of each risk and prioritised the risks based on their severity.

A comprehensive risk assessment framework is developed that could be used under uncertainty. Initially, 16 risks are identified related to the HSM. Further, the identified risks are prioritised using the severity of the risks. The high-priority risk is “raw material status”, “raw material wholesomeness” and “origin of raw material” while “information integrity” and “people integrity” are low-priority risks.

HSM risk can be effectively assessed through the proposed framework. The proposed framework applied neutrosophic numbers to represent real-life situations, and it could be used for other supply chains as well.

The proposed method is effectively addressing the issue of linguistic subjectivity, inconsistent information and uncertainty in the expert’s opinion. A case study of the HSC is adopted to illustrate the efficiency and applicability of the proposed risk framework.