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Branded applications (apps) are increasingly important in marketers' omnichannel strategies. They have not only changed the way customers purchase but also changed the way how companies interact with customers. Building on value co-creation literature, this research investigates consumer brand engagement's role in enhancing perceived quality and brand loyalty via value co-creation.

Using online survey data from 355 brand app users, a conceptual model is tested employing the partial least squares structural equation modeling.

The results suggest that not only does branded app personalization drives brand co-creation (fully mediated by consumer brand engagement) but that this process also increases perceived quality and brand loyalty among users of branded apps.

Data for the study are self-reported and thus may not accurately reflect actual attitudes and behaviors. In addition, respondents were students within the United States who, although representative of branded app users, may limit the generalizability of the study.

Knowing that branded apps can influence customers' perception of the quality and value of their apps, products and services, or even their associated brands, marketers and app designers should work together to provide a value co-creation platform through the apps to increase customers' personalized, engaging experience.

Although various relationships between personalization, engagement and co-creation have been studied, along with their impact on loyalty and perceived value, the interaction between these factors is not widely understood. The study examines these interactions in the context of branded apps, through the service-dominant logic perspective.

The purpose of this study is to provide a nuanced understanding of the marketing placebo effect (MPE) of products with reduced sugar labeling and how it forms certain perceptual underpins (perceived healthiness (PH) and perceived tastiness (PT)), with the potential effect of product category and social class in consideration.

The proposed model is tested using a sample of 822 participants by employing partial least squares structural equation modeling (PLS-SEM). Hypothetical relationships among MPE, PH, PT, purchase intention (PI) and social class are examined for both hedonic and utilitarian products.

The results highlight the positive role of MPE in leveraging consumer PI through the parallel mediation of PH and PT. The positive effect of MPE on PH and PT was more pronounced for the utilitarian product. In addition, social class negatively moderated the relationship between PH and PI only in the case of the utilitarian product.

This paper contributed to the MPE literature in the food industry by challenging the conventional intuition of “Unhealthy = Tasty” and highlighting the potential of perceived food healthiness to positively influence perceived food tastiness under the effect of MPE. An upper social class would attenuate the positive effect of perceived food healthiness on PI.

Collaborative consumption has caught researchers’ attention due to its rapid growth. Drawing on the causal relationship between cognition, affection and conation and collaborative consumption literature, this paper aims to investigate the drivers of brand loyalty and revisit intentions in the context of Airbnb.

The data was collected from 399 Airbnb users using the online survey. Partial least square structural equation modeling was used to test hypotheses. Mediation tests were conducted with multiple mediation analyses.

The study reveals that brand likeability enhanced by customers’ trust in both hosts and Airbnb drives satisfaction, brand loyalty and revisit intention. Moreover, satisfaction impacts revisit intention through a full mediation of brand loyalty.

The role that trust and likability play in enhancing brand loyalty and the intention to revisit is not well documented in the literature on collaborative consumption. The results show that consumers’ trust (cognition) is the first step to the success of collaborative consumption, and consumers’ trust in both platform and hosts will make the Airbnb brand more attractive and likable. When brand likability (affection) grows deeper through more engagement, consumers are more willing (intention) to spend more time staying in Airbnb accommodation.

Although existing literature discusses trust from the consumers’ standpoint and categorizes it into two types, the influence of trust on brand likability has never been tested before. Based on the causal relationship between cognition, affection and conation, to the best of the authors’ knowledge, this paper is the first one investigating trust in both the platform and hosts as key drivers of brand likability, which enhances customer satisfaction, brand loyalty and revisit intentions in the Airbnb context.

协作消费由于其快速增长而引起了研究人员的关注。 基于文献中对于认知、情感和意向与协作消费之间的因果关系, 本文调查了 Airbnb 背景下品牌忠诚度和重访意图的驱动因素。

数据是通过在线调查从 399 名 Airbnb 用户那里收集的。 PLS-SEM 用于检验假设。 中介测试通过多重中介分析进行。

研究表明, 客户对房东和 Airbnb 的信任增强了品牌喜爱度, 从而提高了满意度、品牌忠诚度和重访意愿。 此外, 满意度通过品牌忠诚度的全面调节影响重访意愿。

然已有文献从消费者的角度讨论信任并将其分为两种类型, 但信任对品牌好感度的影响从未被检验过。 基于认知、情感和意向之间的因果关系, 本文首次调查了平台和房东的信任作为品牌好感度的关键驱动因素, 从而提高了 Airbnb 背景下的客户满意度、品牌忠诚度和重访意愿。

Collegiality is the modus operandi of universities. Collegiality is central to academic freedom and scientific quality. In this way, collegiality also contributes to the good functioning of universities’ contribution to society and democracy. In this concluding paper of the special issue on collegiality, we summarize the main findings and takeaways from our collective studies. We summarize the main challenges and contestations to collegiality and to universities, but also document lines of resistance, activation, and maintenance. We depict varieties of collegiality and conclude by emphasizing that future research needs to be based on an appreciation of this variation. We argue that it is essential to incorporate such a variation-sensitive perspective into discussions on academic freedom and scientific quality and highlight themes surfaced by the different studies that remain under-explored in extant literature: institutional trust, field-level studies of collegiality, and collegiality and communication. Finally, we offer some remarks on methodological and theoretical implications of this research and conclude by summarizing our research agenda in a list of themes.

Traditional case-adaptation methods have poor accuracy, low efficiency and limited applicability, which cannot meet the needs of knowledge users. To address the shortcomings of the existing research in the industry, this paper proposes a case-adaptation optimization algorithm to support the effective application of tacit knowledge resources.

The attribute simplification algorithm based on the forward search strategy in the neighborhood decision information system is implemented to realize the vertical dimensionality reduction of the case base, and the fuzzy C-mean (FCM) clustering algorithm based on the simulated annealing genetic algorithm (SAGA) is implemented to compress the case base horizontally with multiple decision classes. Then, the subspace K-nearest neighbors (KNN) algorithm is used to induce the decision rules for the set of adapted cases to complete the optimization of the adaptation model.

The findings suggest the rapid enrichment of data, information and tacit knowledge in the field of practice has led to low efficiency and low utilization of knowledge dissemination, and this algorithm can effectively alleviate the problems of users falling into “knowledge disorientation” in the era of the knowledge economy.

This study provides a model with case knowledge that meets users’ needs, thereby effectively improving the application of the tacit knowledge in the explicit case base and the problem-solving efficiency of knowledge users.

The adaptation model can serve as a stable and efficient prediction model to make predictions for the effects of the many logistics and e-commerce enterprises' plans.

This study designs a multi-decision class case-adaptation optimization study based on forward attribute selection strategy-neighborhood rough sets (FASS-NRS) and simulated annealing genetic algorithm-fuzzy C-means (SAGA-FCM) for tacit knowledgeable exogenous cases. By effectively organizing and adjusting tacit knowledge resources, knowledge service organizations can maintain their competitive advantages. The algorithm models established in this study develop theoretical directions for a multi-decision class case-adaptation optimization study of tacit knowledge.

This study aims to examine the influence of reward personalization on financing outcomes in the Industry 5.0 era, where reward-based crowdfunding meets the personalized needs of individuals.

The study utilizes a corpus of 218,822 crowdfunding projects and 1,276,786 reward options on Kickstarter to investigate the effect of reward personalization on investors’ willingness to participate in crowdfunding. The research draws on expectancy theory and employs quantitative and qualitative approaches to measure reward personalization. Quantitatively, the number of reward options is calculated by frequency; whereas text-mining techniques are implemented qualitatively to extract novelty, which serves as a proxy for innovation.

Findings indicate that reward personalization has an inverted U-shaped effect on investors’ willingness to participate, with investors in life-related projects having a stronger need for reward personalization than those interested in art-related projects. The pledge goal and reward text readability have an inverted U-shaped moderating effect on reward personalization from the perspective of reward expectations and reward instrumentality.

This study refines the application of expectancy theory to online financing, providing theoretical insight and practical guidance for crowdfunding platforms and financiers seeking to promote sustainable development through personalized innovation.

The purpose of this study is to explore a balanced understanding of the relationship between perceived occupational stigma and social workers’ proactive behaviors in China. Drawing on cognitive appraisal theory, this study explored the mediating role of threat and challenge appraisals, as well as the moderating role of trait resilience.

Data were collected using a time-lagged research design. The hypotheses were examined using a sample of 338 social workers in China.

Perceived occupational stigma is appraised as both a challenge and a threat simultaneously. Challenge appraisal positively mediated perceived occupational stigma and proactive behavior, whereas threat appraisal negatively mediated this relationship. Trait resilience moderated the effect of threat appraisal, suggesting that perceived occupational stigma was appraised as a threat when trait resilience was lower (rather than higher), which then reduced social workers’ proactive behaviors.

This study enriches the literature on perceived occupational stigma by identifying the relationship and mechanism of perceived occupational stigma-proactive behaviors and a boundary condition from the theoretical perspective of cognitive appraisals. It demonstrates both the positive and negative aspects of perceived occupational stigma as appraised by social workers in relation to an important workplace outcome of proactive behaviors. In addition, it offers a fresh approach by exploring perceived occupational stigma from the perspective of social workers.

To succeed in a competitive tourist market and attract more foreign tourists, it is essential to have a clear understanding of what travellers are seeking and endeavour to meet those needs, as well as key influential factors in their travel decision-making process. The purpose of the study is to develop and examine tourists’ pre-trip motivational model using the push–pull theory.

A tourists’ pre-trip motivational model was developed and then tested based on a sample of 320 Chinese and non-Chinese visitors to Melbourne, Australia, to assess the suitability of the new model. Data were analysed by descriptive and inferential statistical techniques, such as principal component analysis and independent T-tests.

The analysis revealed statistically significant differences between studied samples in terms of the push and pull factors. In comparison with non-Chinese tourists, Chinese visitors to Melbourne assigned higher importance to resting and relaxing opportunities, family-oriented activities, as well as safety and a high level of service. The identified differences should be reflected in marketing and promotional activities provided to Chinese and non-Chinese travellers.

The study provides useful information for Destination Marketing Organisations in tourism cities wanting to develop specifically customised tourist products, services and promotion programs tailored to each market.

The proposed extended push–pull model represents a holistic and complex model of the travel decision-making process with the multiple linkages between motivations for travelling, preferences of destination attributes, information source usage, trip expectations, possible constraints for travelling and evaluation of destination choice criteria. Understanding all these factors, their relationship and their influence on the final destination choice is a prerequisite for effective and successful actions on attraction and retention of visitors for all tourist destinations. The developed tourists’ pre-trip motivational model may be used as a conceptual framework to guide subsequent motivational studies in tourism.

The role of chief executive officer (CEO) personal characteristics in shaping corporate policies has attracted increasing academic attention in the past two decades. In this review, the authors synthesize extant research on CEO attributes by reviewing 232 articles published in 29 journals from the accounting, finance and management literature. This review provides an overview of existing findings, highlights current trends and interdisciplinary differences in research approaches and identifies potential avenues for future research.

To review the literature on CEO attributes, the authors manually collected peer-reviewed articles in accounting, finance and management journals from 2000 to 2021. The authors conducted in-depth analysis of each paper and manually recorded the theories, data sources, country of study, study period, measures of CEO attributes and dependent variables. This procedure helped the authors group the selected articles into themes and sub-themes. The authors compared the findings in various disciplines and provided direction for future research.

The authors highlight the role of CEO personal attributes in influencing corporate decision-making and firm outcomes. The authors categorize studies of CEO traits into three main research themes: (1) demographic attributes and experience (including age, gender, culture, experience, education); (2) CEO interactions with others (social and political networks) and (3) underlying attributes (including personality, values and ideology). The evidence shows that CEO characteristics significantly affect a wide range of specific corporate policies that serve as mechanisms through which individual CEOs determine firm success and performance.

CEO selection is one of the most crucial decisions made by corporations. The study findings provide valuable insights to corporate executives, boards, investors and practitioners into how CEOs’ personal characteristics can impact future firm decisions and outcomes that can, in turn, inform the high-stake process of CEO recruitment and selection. The study findings have significant practical implications for corporations, such as contributing to executive training programs, to assist executives and directors attain a greater level of self-awareness.

Building on the theoretical foundation of upper echelons theory, the authors offer an integrated theoretical framework to consolidate existing empirical research on the impacts of CEO personal attributes on firm outcomes across accounting and finance (A&F) and management literature. The study findings provide a roadmap for scholars to bridge the interdisciplinary divide between A&F and management research. The authors advocate a more holistic and multifaceted approach to examining CEOs, each of whom embodies a myriad of personal characteristics that comprise their unique identity. The study findings encourage future researchers to expand the investigation of the boundary conditions that magnify or moderate the impacts of CEO idiosyncrasies.

While the relationship between non-family CEOs and corporate innovation in China has been widely studied, the results remain inconclusive. This study explores the relationship between non-family CEOs and corporate innovation in the context of intergenerational succession. It considers the background and background characteristics of non-family CEOs in an attempt to provide a theoretical foundation for human resource management and innovative strategic management that can be applied in the transformation of family companies.

The authors develop, then test, a series of hypotheses using an econometric analysis of a large sample of Chinese listed family firms. To control for endogeneity problems, such as missing variables in the model and the selectivity bias of the sample, propensity score matching (PSM) model is applied to analyze the panel data of 452 listed family firms from 2009–2019.

This study first validates the mechanism by which non-family CEO background characteristics affect innovation performance in family firms. It then reveals the varying moderating effects of two stages of intergenerational succession (i.e. later-generation participation in management and later-generation take-over management) that influence the relationship between non-family CEOs and corporate innovation.

The study's findings based on upper echelon and imprinting theory complement and extend existing research by revealing the impact of non-family CEOs from different backgrounds, and also identifying the role of intergenerational succession in the relationship between non-family CEO background characteristics and innovation performance.