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The purpose of this study is to propose and empirically test a framework encompassing self-congruity with its antecedents and consequences. This study also aims to test the mediating role of perceived value and its dimensions.

A questionnaire-based survey was conducted using a purposive sampling technique. In total, 310 useable responses were collected and data were analyzed using partial least square structural equation modeling.

A majority of hypotheses were supported. Avoidance of similarity and status consumption positively influenced self-congruity, replicating an earlier study. Self-congruity positively influenced overall perceived value and its dimensions, as well as revisit intention. Overall perceived value and its dimensions positively influenced revisit intention. Finally, overall perceived value and its dimensions were found to have a mediating effect on the relationship between self-congruity and revisit intention.

This study provides empirical evidence for the antecedents and consequences of self-congruity with a service and expands understanding of the mediating role of overall perceived value and its dimensions in predicting intention.

The purpose of this paper is to identify the continuance usage of livestreaming commerce. The proposed antecedents of livestreaming commerce continuance usage are social presence, perceived crowdedness, need for arousal, susceptibility to informational influence, and perceived value, whilst trust in broadcasters is treated as the moderating factor.

A survey was conducted using a questionnaire designed specifically for this purpose, which was completed by 388 Malaysian consumers aged 26–40 years who have prior experience with livestreaming commerce. The authors tested the framework using the partial least squares structural equation modelling (PLS-SEM) technique and complementary by performing artificial neural network (ANN) analysis.

The results indicate several significant relationships, whereby social presence, perceived crowdedness, susceptibility to informational influence, and trust in broadcasters significantly influence perceived value, whereas perceived value significantly influences continuance intention. In addition, trust in broadcasters moderates the relationship between perceived value and continuance intention.

The current study adds significantly to the body of knowledge about livestreaming by examining the direct determinants of perceived value and thus delineating how perceived value influences continuance intention. The findings yielded also illustrate the role of trust in broadcaster as the moderator of the link between perceived value and continuance intention.

The purpose of this paper is to propose and empirically test a research model encompassing marketing mix activities as antecedents of non-private label consumers’ switching intention, particularly from an emerging market perspective. The study also aims to test the moderating role of general neophobia and gender.

Focusing on non-private label consumers, the study analyzed a total of 211 questionnaire responses. Partial least squares structural equation modeling was used to test the research model.

The results suggested that marketing mix activities, particularly advertising, in-store communication, and monetary promotion positively influenced private label brand attitude. Attitude positively influenced switching intention. The proposed moderating effects of general neophobia and gender in the relationship between private label brand attitude and switching intention were supported.

This study provides empirical evidence to the effects of marketing practices on private label brand attitude from an emerging market perspective, complementing previous research which largely focused on developed market. The findings offer managerial ideas in targeting non-private label consumers. The test of moderating variables expands the understanding on attitude-intention link.

The purpose of this paper is to provide small and medium-sized enterprises (SMEs) in emerging markets with an updated Purchasing Portfolio Matrix (PPM) specifically for international sourcing. This data-driven PPM matrix is designed to provide a dynamic and process perspective that can help SMEs survive the disruptions caused by emergency situations such as the global COVID-19 pandemic.

This research reports on qualitative interviews with experienced informants from 15 SMEs in the manufacturing industry. The authors follow process-based research using a combination of retrospective and real-time case study approaches to gradually unveil the dynamics in segmentation and sourcing strategies in the international sourcing context during the COVID-19 pandemic.

The findings reveal the dynamics of segmentation and international sourcing strategies during global disruptions and unpack the underlying logic behind the dynamics that is specific to SMEs in emerging economies.

Existing literature on PPM predominantly focuses on static and normal sourcing circumstances. This paper addresses this gap by adopting a dynamic approach to study how sourcing strategies of SMEs from emerging economies evolve in a highly volatile environment from an international sourcing perspective.

The main aim of this study is to examine the effect of virtual store atmospheric factors on impulsive purchasing in the metaverse context.

Grounded in purposive sampling, 451 individuals with previous metaverse experience were recruited to accomplish the objectives of this research. Next, to identify both linear and nonlinear relationships, the data were analyzed using partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) approaches.

The findings underscore the significance of the virtual store environment and online trust in shaping impulsive buying behaviors within the metaverse retailing setting. Theoretically, this study elucidates the impact of virtual store atmosphere and trust on impulsive buying within a metaverse retail setting.

From the findings of the study, because of the importance of virtual shop content, practitioners must address its role in impulse purchases via affective online trust. The study’s findings are likely to help retailers strategize and improve their virtual store presentations in the metaverse.

The discovery adds to the understanding of consumer behavior in the metaverse by probing the roles of virtual store atmosphere, online trust and impulsive buying.

This study aims to focus on the authority formation process of Chinese enterprise leaders, with the purpose of finding out how an ordinary newly established firm leader develops into a real top leader and achieves the status of legitimacy in a well-known enterprise.

Based on constructivist grounded theory, this paper investigates the formation mechanism of entrepreneurial authority in China by using the rich data of Liu Chuan-zhi’s leader activities.

In the “evolution” path of authority formation, leaders continually consolidate and improve their authority through two classes of exceptional management activities: “emergency rescue” and “promotion activities”. The successful realization of exceptional management activities benefits from a leader’s management experience accumulation and relationship maintenance with the government. In the “design” path of authority formation, leaders consolidate and improve their authority by exercising their position of power. Leaders’ legitimacy is reflected by making strategic decision and demonstrating discretion of position power. Additionally, passing on an inspiring leader’s thoughts and ideas to an organization’s members is accomplished through the construction of organization culture, institutionalization and convention.

First, the findings are based on only Liu Chuan-zhi’s case. The authors still need more cases to compare and develop the findings and seek theoretical saturation in a broader sense. Second, the qualitative analysis is based on secondary data and future research could consider the introduction of interviews, video and other types of research data.

Under the parallel paths which are “evolution” and “design”, the dynamic leader authority formation model in China is founded.

Although research on how the downstream calculations of a patent’s profit potential influence invention renewal decisions is extensive, the impact of the upstream knowledge creation stages is overlooked. The purpose of this study is to address this theoretical vacuum by examining the intra-organizational configuration of knowledge networks and collaboration networks.

The data consist of 491 global pharmaceutical firms that patent in the USA. Drawing on patent records, the authors simultaneously construct intra-organizational knowledge networks and collaboration networks and identify network cohesion features (i.e. local and global). The authors employ panel fixed-effects models to test the hypotheses.

The results show that local knowledge cohesion and local social cohesion decrease invention renewals, while global knowledge cohesion and global social cohesion increase renewals. Moreover, the marginal effects of local and global social cohesion are stronger than those of local and global knowledge cohesion, respectively.

The hypotheses are tested using the pharmaceutical industry as a research setting, which limits the generalizability of our findings. In addition, potential formal and informal contingencies are not considered.

Despite its limitations, this study provides valuable implications. First, managers are cautioned against the adverse effects of local cohesion structures on invention renewal. Second, firms can dynamically adjust their local and global network configuration strategies to harmonize the generation of valuable inventions and the retention of good ideas.

Complementary to previous research that focused on inventions’ performance feedback, this study delves into upstream knowledge creation stages to understand invention renewals.

The surging entrance of new mobile payment merchants into the growing market has prompted the need for an in-depth understanding of loyalty formation to retain customers. This study examines customers' loyalty generation process in mobile payment services by exploring the serial effect of cognitive drivers (i.e. brand awareness, perceived quality, brand image, perceived value and layout) on affective response, satisfaction and loyalty.

A survey using self-administered questionnaires was conducted. The data was collected from 370 consumers who have experience using mobile payment services in Vietnam. The data were submitted to partial least square structural equation modeling (PLS-SEM) and artificial neural networks (ANN) analysis.

The results indicated that all the proposed cognitive drivers show significant impacts on affective response, which, in turn, translates into satisfaction and loyalty. The post-hoc analysis revealed enjoyment as the vital affective response in determining satisfaction. Moreover, the multigroup analysis indicated that the relationship between affective response and satisfaction is stronger for the female group. In addition, the ANN's nonlinear result revealed complementary insight into the importance of cognitive drivers.

The current study revealed both linear and nonlinear mechanisms that explicate the roles of cognitive drivers and affective responses in fostering loyalty toward mobile payment merchants. The findings add to the existing literature that emphasizes consumers' initial mobile payment adoption.

Technological advancements have catalyzed disruption in the banking sector. The impact of the metaverse on the banking sector is no exception. In view of this, the current paper aims to provide valuable insights into four key areas (i.e. corporate banking, retail banking, banking employees and public policy) that the metaverse could significantly disrupt.

Insights into four key areas of the banking sector that the metaverse could significantly impact were gathered from various invited contributors.

The invited contributors first introduce the association between their respective key areas with the metaverse. Subsequently, the opportunities and challenges relevant to the key areas were identified. Finally, future research agendas were proposed for the attention of all relevant stakeholders.

The metaverse's impact on key areas of the banking sector is discussed in this paper. Following the metaverse's potentially wide application in the banking sector, insights from the invited contributions offer great value to the relevant stakeholders.