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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。

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 paper is to develop and test an empirically grounded comprehensive framework of e-quality that is the composite of the relationship between e-satisfaction and e-loyalty. This study’s objectives were: first, to develop a comprehensive measurement scale of perceived quality from an operations perspective, based on the classic Engel-Kollat-Blackwell (EKB) decision-making process; second, to develop a framework that integrates dimensions of quality and measures perceptions of e-quality during the customer’s decision-making process; and third, to examine the predictive capability of quality attributes in relation to service operations that rely on customer satisfaction and customer loyalty.

Following review of the related literature, focus group protocols were developed and interviews conducted. Based on the focus group input, surveys were developed and administered. Survey data from 717 online customers allowed testing the research hypotheses, and structural equation modeling allowed validation of the research framework.

The study determined that “e-channel quality”, “e-service quality” (including “web site quality” and “transaction quality”), and “product quality” positively influence customer e-satisfaction within an online operation. These constructs, in turn, influence customer e-loyalty in the e-commerce domain. The findings contribute valuable theoretical and managerial implications that can improve e-service operations.

The paper fills a relevant gap in the e-commerce and services operations literature by empirically developing and validating a new and robust quality measurement scale based on the EKB consumer decision-making process. The study also makes an important research contribution by providing empirical evidence that quality is pivotal in gaining customer loyalty and a competitive e-commerce edge.

The purpose of this paper is to investigate the effects of relational embeddedness on entrepreneurship in Taiwanese subsidiaries in China that are facing an uncertain and emerging environment.

First, four case studies are conducted to modify theoretical concepts and measuring instruments to fit them into the entrepreneurial context of multinational subsidiaries in a transitional economy. In the second stage, a survey is conducted to examine the associations between relational embeddedness and subsidiary entrepreneurship. A total of 265 executive officers, which is approximately 29 percent of 922 managers in the mailing list, reply to the questionnaire on their subsidiaries.

This study finds that subsidiary entrepreneurship has an inverse U‐shaped relationship with regards to customer or supplier relational embeddedness, a positive relationship with corporate relational embeddedness and no relationship with government relational embeddedness.

Based on this study of Taiwanese subsidiaries operating in China there is an inverse‐U‐shaped link between relational embeddedness and customers and suppliers. Hence, this study confirms that over‐embeddedness with customers or suppliers negatively influences subsidiary entrepreneurship.

The aim of this paper is to demonstrate the application of optimal globalization grey relational analysis (GGRA) as a workable decision-making tool to prioritize emotional intelligence (EI) training needs of specific groups of academic leaders.

The study involved administrating the emotional skills assessment process to 50 academic leaders in the USA and 50 in Taiwan. Optimal GGRA was utilized to prioritize EI training needs of the two distinct groups of academic leaders.

Results of the optimal GGRA suggest that context-specific EI interventions focusing on enhancing weak areas of emotional competency are made possible through optimal globalization grey analysis.

Optimal GGRA is introduced as a valid decision-making technique for planning effective EI interventions. The results have implications for designing training courses targeting on enhancing weak areas of emotional competency.

The utility of optimal GGRA as a decision-making tool to prioritizing training needs for the two cultural groups of academic leaders in the study aims at going beyond the narrow psychometric perspectives of measurements on leadership potentials and reaching out to practical approaches to leadership development and training.

The purpose of this paper is to evaluate the forecasting performance of grey prediction models on educational attainment vis-à-vis that of exponential smoothing combined with multiple linear regression employed by the National Center for Education Statistics (NCES).

An out-of-sample forecasting experiment was carried out to compare the forecasting performances on educational attainments among GM(1,1), GM(1,1) rolling, FGM(1,1) derived from the grey system theory and exponential smoothing prediction combined with multivariate regression. The predictive power of each model was measured based on MAD, MAPE, RMSE and simple F-test of equal variance.

The forecasting efficiency evaluated by MAD, MAPE, RMSE and simple F-test of equal variance revealed that the GM(1,1) rolling model displays promise for use in forecasting educational attainment.

Since the possible inadequacy of MAD, MAPE, RMSE and F-type test of equal variance was documented in the literature, further large-scale forecasting comparison studies may be done to test the prediction powers of grey prediction and its competing out-of-sample forecasts by other alternative measures of accuracy.

The findings of this study would be useful for NCES and professional forecasters who are expected to provide government authorities and education policy makers with accurate information for planning future policy directions and optimizing decision-making.

As a continuing effort to evaluate the forecasting efficiency of grey prediction models, the present study provided accumulated evidence for the predictive power of grey prediction on short-term forecasts of educational statistics.

The purpose of this study is to provide human resource (HR) practitioners of multinational companies aspiring to invest in these two countries with guidelines for attaining organizational effectiveness through people.

This study develops and tests a multiple criteria decision-making model with data collected in the banking sectors of India and Mozambique. It compares the job engagement, team building and innovation strategy preferences of Indian personnel with those of Mozambican employees.

The findings of the study reveal the differences in the perceptions of the respondents of both countries regarding the importance of the strategies for organizational effectiveness.

Despite several contributions, the study has certain limitations too. Although utmost care was taken to avoid the issue of common method variance, the cross-sectional self-reported design of the study might be adversely affected by common method bias (MacKenzie and Podsakoff, 2012). Hence, future research might be conducted using different designs, such as diary studies or longitudinal studies. Future research might also be conducted making use of organizational productivity case studies to demonstrate the practicability of customizing the HR strategies using the multi-attribute decision-making approach.

This body of work is an addition to the existing literature on cross-national studies in the field of HR management (HRM) and adds to the limited literature on HRM in the least developed countries. The study is designed to provide guidelines for the HR practitioners of multi-national companies in these two countries to help them achieve enhanced organizational effectiveness. This should be of particular interest to the HR managers of the Indian companies aspiring to invest in Mozambique.

Research in the area of HRM is mainly limited to the developed and developing nations, with very few studies centering on emerging economies. While most cross-national studies on organizational effectiveness are also largely focused on developed and developing nations, this study is unusual, in that its focus is on a fast-developing nation (India) and an emerging economy (Mozambique).

The privacy of the information is a major challenge in the communication process. In the present modern generation, the cryptography plays a vital role in providing security for data, such as text, images and video while transmitting from source to destination through internet or intranet. The Rivest-Shamir-Adleman (RSA) is an asymmetric key cryptographic system, where the security of the method works on the strength of the key.

In an asymmetric key crypto system, a pair of keys is generated one public key for encryption and one private key for decryption. The major challenge of implementing the RSA is the power function which becomes tedious and time consuming as the exponential value increases. The Chinese remainder theorem proves to be the best for data encryption when it comes to execution time of the algorithm. The proposed novel RSA algorithm with lookup table (LUT) is an extension to the Chinese remainder algorithm, which works better for image and video in terms of time complexity.

This paper presents a LUT approach for implementing the RSA with a minimal processing time. The proposed algorithm was compared with the standard algorithms like, Chinese remainder theorem, binary approach and squared multiplication approach. As the size of the exponent value increases, the proposed method shows better performance compared to other standard methods.

This paper presents a LUT approach for implementing the RSA with a minimal processing time. The proposed algorithm was compared with the standard algorithms like, Chinese remainder theorem, binary approach and squared multiplication approach. As the size of the exponent value increases, the proposed method shows better performance compared to other standard methods.

The purpose of this paper is to establish a dynamic analysis model of composite cylindrical roller bearings, investigate the effects of different working conditions on the kinematic characteristics of composite bearings and compare the differences between them and solid roller bearings.

This paper establishes a dynamic analysis model for composite cylindrical roller bearings and proves the correctness of the established model by establishing dynamic vibration experiments and contact theory for composite roller bearings. Comparative analysis was conducted on the effects of coupling changes in rotational speed, load, number of rollers and filling ratio on parameters such as bearing static stiffness, contact stress and vibration acceleration.

The composite roller can enhance the bearing’s operational stability and minimize contact stress, but that a higher filling ratio is going to increase the bearing’s stiffness. The acceleration degree of bearing vibration, the load on the outer raceway nodes and the bearing stability all decrease as inner ring speed rises.

A dynamic calculation model of composite cylindrical roller bearings is established, and the influence of multiparameter coupling changes on bearing vibration and contact is studied, which lays a foundation for the structural improvement of the bearings.

In order to improve the competitiveness of the “double first-class” university in China, it is essential to conduct a rational, scientific study of the current status of the staff to ensure its long-term development.

Based on the grey analytic hierarchy process (Grey–AHP), this paper evaluates the situation of faculty and staff, hereby, analyzes the initiative and enthusiasm of faculty and staff in the construction of “double first-class universities”

The index weights of the main factors are similar, which indicate the development of teaching staff in higher education depends mainly on the role of full-time teachers, doctors and master's guidance teachers and non-teaching staff.

While the other literature emphasized scientific output, this article enlightened the important role of faculty and staff in the construction of ‘first-class' universities, which contributes to the study of development of China's high education in a new perspective.