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Fault diagnosis methods based on blind source separation (BSS) for rolling element bearings are necessary tools to prevent any unexpected accidents. In the field application, the actual signal acquisition is usually hindered by certain restrictions, such as the limited number of signal channels. The purpose of this study is to fulfill the weakness of the existed BSS method.

To deal with this problem, this paper proposes a blind source extraction (BSE) method for bearing fault diagnosis based on empirical mode decomposition (EMD) and temporal correlation. First, a single-channel undetermined BSS problem is transformed into a determined BSS problem using the EMD algorithm. Then, the desired fault signal is extracted from selected intrinsic mode functions with a multi-shift correlation method.

Experimental results prove the extracted fault signal can be easily identified through the envelope spectrum. The application of the proposed method is validated using simulated signals and rolling element bearing signals of the train axle.

This paper proposes an underdetermined BSE method based on the EMD and the temporal correlation method for rolling element bearings. A simulated signal and two bearing fault signal from the train rolling element bearings show that the proposed method can well extract the bearing fault signal. Note that the proposed method can extract the periodic fault signal for bearing fault diagnosis. Thus, it should be helpful in the diagnosis of other rotating machinery, such as gears or blades.

Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic management, where drivers are managed by algorithms for task allocation, work monitoring and performance evaluation. Despite employing substantially, the platforms face the challenge of maintaining and fostering drivers' work engagement. Thus, this study aims to examine how the algorithmic management of online car-hailing platforms affects drivers' work engagement.

Drawing on the transactional theory of stress, the authors examined the effects of algorithmic monitoring and fairness on online car-hailing drivers' work engagement and revealed the mediation effects of challenge-hindrance appraisals. Based on survey data collected from 364 drivers, the authors' hypotheses were examined using partial least squares structural equation modeling (PLS-SEM). The authors also applied path comparison analyses to further compare the effects of algorithmic monitoring and fairness on the two types of appraisals.

This study finds that online car-hailing drivers' challenge-hindrance appraisals mediate the relationship between algorithmic management characteristics and work engagement. Algorithmic monitoring positively affects both challenge and hindrance appraisals in online car-hailing drivers. However, algorithmic fairness promotes challenge appraisal and reduces hindrance appraisal. Consequently, challenge and hindrance appraisals lead to higher and lower work engagement, respectively. Further, the additional path comparison analysis showed that the hindering effect of algorithmic monitoring exceeds its challenging effect, and the challenge-promoting effect of algorithmic fairness is greater than the algorithm's hindrance-reducing effect.

This paper reveals the underlying mechanisms concerning how algorithmic monitoring and fairness affect online car-hailing drivers' work engagement and fills the gap in the research on algorithmic management in the context of online car-hailing platforms. The authors' findings also provide practical guidance for online car-hailing platforms on how to improve the platforms' algorithmic management systems.

This research aims to investigate the relationship between value orientations, attitude, behavioral intention and usage behavior of electric ride hailing service in Vietnam through the moderating role of social influences.

In total, 552 valid questionnaires were collected using the survey questionnaire to analyze the effects of value orientations on attitude toward electric ride hailing and behavioral intention. Besides, this study investigates the mediating effect of attitude toward electric ride hailing and behavioral intention in the relationship with the behavior usage of electric ride hailing service as well as the moderating effect of social influence.

Three types of value orientations stimulate attitude toward electric ride hailing service and behavioral intention. In addition, attitude toward electric ride hailing service and behavioral intention play the mediating role in the effect of value orientations on behavior usage. Specifically, social influence plays a negative moderating role in the linkage between attitude towards and behavioral intention of electric ride hailing service and between intention and the behavior usage.

While numerous studies have investigated the influence of customers’ value orientations on multiple green purchase behaviors, this study offers new insights into the moderating role of social influence in the linkages between attitude, behavioral intention and usage behavior of electric ride hailing service.

Man has been seeking an ideal existence for a very long time. In this existence, justice, love, and peace are no longer words, but actual experiences. How ever, with the American preemptive invasion and occupation of Afghanistan and Iraq and the subsequent prisoner abuse, such an existence seems to be farther and farther away from reality. The purpose of this work is to stop this dangerous trend by promoting justice, love, and peace through a change of the paradigm that is inconsistent with justice, love, and peace. The strong paradigm that created the strong nation like the U.S. and the strong man like George W. Bush have been the culprit, rather than the contributor, of the above three universal ideals. Thus, rather than justice, love, and peace, the strong paradigm resulted in in justice, hatred, and violence. In order to remove these three and related evils, what the world needs in the beginning of the third millenium is the weak paradigm. Through the acceptance of the latter paradigm, the golden mean or middle paradigm can be formulated, which is a synergy of the weak and the strong paradigm. In order to understand properly the meaning of these paradigms, however, some digression appears necessary.

The tech giants Alibaba and Tencent compete on many fronts. This case focuses on three areas where they have competed very hard: new retailing, mobile payment, and ride-hailing. At the beginning of 2018, Alibaba and Tencent were gathering retail investments in bids to battle each other for shoppers' digital wallets. Key to the battle is China's mobile payment market, worth more than 200 trillion RMB, where Alibaba and Tencent are going head to head. The giants are not only directly competing in the payment platform area but also extensively fighting in other areas, such as ride-hailing, where they invested in and supported Didi and Kuaidi, respectively. To enhance understanding, this case also briefly goes through the history of the two giants. The purposes, methods, and consequences of their platform competition deserve an in-depth discussion

Despite the perceived role of customer value in post-adoption behaviour in the context of ride-hailing apps such as Uber, there has been limited research on the subject. This paper seeks to enrich the understanding of the relationships between customer perceived value, particularly hedonic value and economic value, customer satisfaction and continued use intentions of ride-hailing apps.

This analysis is based on field data collected from 567 users of ride-hailing apps in Ghana. Data collected from the survey were analysed using the partial least square (PLS) approach to structural equation modelling (SEM).

The paper provides evidence that hedonic value, as well as economic value, positively predicts customer satisfaction and continued use intentions of ride-hailing apps. Further analysis reveals customer satisfaction directly predicts continued use intentions in addition to partially mediating the influence of customer perceived value on continued use intentions of ride-hailing apps. Finally, the findings suggest that hedonic value has a stronger impact on continued use intentions than economic value, while economic value has a greater impact on satisfaction than hedonic value.

The study contributes to post-adoption behaviour research by providing evidence on the relationships among the study constructs in a developing country context. Overall, the findings will stimulate future empirical debates on the subject and guide practitioners in decision-making concerning customers' usage of ride-hailing apps.

The pandemic has severely affected sharing economy businesses specially ride-hailing services due to high levels of human-touch points. This research investigates the impact of COVID-19 infodemic, identification, and emotional support on intention to use ride-hailing. The authors further examine the moderating effects of internalization, compliance, social currency and informational support in the proposed conceptual model.

The data were collected from 412 respondents from Delhi in India, and hypothesized relationships were tested using hierarchical regression.

The results indicate that COVID-19 infodemic has a negative association with intention to use ride-hailing. Identification and emotional support show a positive association with intention to use ride-hailing. The results also support internalization and compliance as moderators between infodemic, identification and intention to use ride-hailing. Further, social currency and information support moderate the relationship between emotional support and intention to use.

This is the first research, which adds to the expanding literature on ride-hailing, especially during the post-pandemic period of “new normal”.

This research aims to examine the relationship of personal innovativeness, perceived value (consisting of perceived utilitarian and hedonic value) and continuance intention in the context of ride-hailing apps and to investigate consumer behaviour differences between metro and non-metro consumers.

The survey sample included 402 consumers of popular ride-hailing apps in Indonesia to test the research framework. Then, PLS-SEM-based software was utilised to examine the hypothesised relationship.

The findings indicate that the effect of personal innovativeness on continuance intention in using ride-hailing apps will operate through the full mediation role of perceived hedonic and utilitarian value, respectively. The findings also show that there are consumer behaviour differences between metro and non-metro consumers, in which the cognitive belief of consumers in the metro areas regarding the usage of ride-hailing apps is more related to hedonic value.

The variety of respondent demographic profiles in this research is limited in that most of the research respondents are students. In such a case, the study may face the issue of generalisation.

This research generates an extended idea of the information technology continuance model by validating the important role of perceived hedonic and utilitarian value as an integral part of the model and strengthens the insights that Indonesia has consumer behaviour differences regarding technology-based services, particularly ride-hailing apps, between metro and non-metro consumers.

This study aims to investigate the impact of several factors on customer satisfaction and intention of reusing ride-hailing services that is a new type of passenger urban transport service.

This research applied the Partial Least Squares Structural Equation Modeling analysis method to examine the measurement scale and to analyze the primary data collected from 388 passengers in Vietnam.

This study demonstrates that three dimensions of perceived value, namely, functional value, hedonic value and economic value, positively influence customer satisfaction. The other dimension of perceived value, which is social value, has an ambiguous effect on satisfaction. In addition, personal innovativeness promotes all dimensions of perceived value. In particular, this study highlights that customer satisfaction and corporate image positively impact reuse intention, and corporate image moderates the relationship between customer satisfaction and reuse intention.

This study enriches knowledge about customer behavior using services based on the sharing economy business model. In particular, theoretical and practical implications are provided for researchers and enterprises to find suitable strategies for business.

Marketing literature has made little progress on the connection between service quality and customer citizenship advocacy, helping and feedback sub-dimensions that may promote competitiveness. It is also unclear to what extent service quality may serve as an underlying motivation for explaining the relationship between affective commitment (a primary antecedent of customer citizenship) and the selected sub-dimensions. Consequently, the aim of the current research is to develop a customer citizenship behaviour model and address these matters in a peer-to-peer service context.

Survey data were collected from 610 customers of a ride-hailing peer-to-peer service brand. Data analysis included structural equation modelling and bootstrapping.

Affective commitment influences service quality. Service quality motivates customer citizenship behaviours directed towards the ride-hailing brand (feedback) and other customers (advocacy and helping). Service quality provides an indirect path for connecting affective commitment with the customer citizenship behaviours in varying degrees.

This study is the first to verify the relevance of all three customer citizenship behaviours in a single model as influenced by service quality. The current research is further a step forward in understanding the mediating role of service quality and its potential to ensure customers' feelings of attachment towards the brand are translated in citizenship actions. The findings are noteworthy, considering the varying service levels generally experienced in a peer-to-peer service environment. Peer-to-peer service brands may fall back on their emotional connection with customers to influence service judgements and ultimately benefit from customer citizenship behaviours.