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Social commerce has brought about a significant transformation in consumer experience due to diverse factors. As a result, users often find themselves prone to impulsive buying behaviour when exposed to such an environment. Prior research was limited to demonstrating the expanding influence of celebrities on social media and the linkage between social engagement and impulse buying context. Furthermore, the impulse buying tendency of consumers on social media in the context of celebrity posts has yet to be validated. This paper aims to assess the influence of consumer awareness, consumer trust and observational learning on the latent state-trait (LST) theory regarding celebrity posts on impulse buying tendencies.

The empirical research builds on a sample survey involving 750 students from the “Big Four” economics universities in Hanoi. The proposed model was analysed using a partial least squares structural equation modelling technique.

The authors find that consumer trust and observational learning from celebrity’ posts positively affect impulse buying tendency. Yet celebrity influence awareness directly impacts trust in celebrity’ posts rather than directly impacting impulse buying tendency. Perceiving the importance of interactive and authentic posts by a celebrity in influencing consumers’ purchase behaviour on social media, this research offers valuable insights for stakeholders in the digital celebrity sphere of communication and marketing.

Perceiving the importance of interactive and authentic posts by a celebrity in influencing consumers’ purchase behaviour on social media, this research offers valuable insights for stakeholders in the digital celebrity sphere of communication and marketing.

From a theoretical perspective, this expands the applicability of the LST theory in social commerce to promote impulse buying tendencies. Second, this contributes to the literature on the emerging phenomenon of social media celebrities, as existing literature does not clarify their influence on impulse buying behaviour. Third, this research applies the concept of observational learning in online shopping through key features of social media platforms, namely, likes, shares and comments, to investigate their influence on the impulse buying tendency of consumers. Concerning managerial implications, the authors propose practical recommendations for practitioners, particularly those involved or interested in the commercial services industry and social media marketing (namely, celebrities and partner companies).

While technological advances have been changing the way that services are delivered to customers, direct interaction between banks’ front-line staff and customers still holds its distinct position in the banking sector. This research investigates the relationship between interactional justice and the willingness of commercial banks’ front-line staff to engage in customer-centric behaviors, as well as the mediators behind this relationship.

This research combined both qualitative and quantitative research methods. In-depth interviews were employed to explore the potential mechanisms underlying the relationship between interactional justice and customer-centric behavior and to develop the specific measurement scale for customer-centric behavior in the banking service context. A survey was conducted to test the conceptual model using a sample of 312 customer contact employees working in Vietnamese commercial banks.

The research results indicate that interactional justice significantly enhances employees’ willingness to engage in customer-centric behaviors, and this relationship is partially mediated by overall job satisfaction and the leader-member exchange relationship.

This research faces several limitations. The first limitation concerns the fact that the data are based on self-reports, which might lead to common method biases. Second, this study used a sample drawn from the North of Vietnam only. Third, this study adopted a limited set of measurement items due to the concerns of model parsimony and data collection efficiency. Fourth, we followed prior justice work to assume the linear relationship between interactional justice and leader-member exchange, in which the leader-member exchange is hypothesized to be the outcome of fair treatment (Erdogan and Liden, 2006; Masterson et al., 2000). Last, we only considered how leaders treat their followers through the lens of interactional justice, while interactional justice differentiation has also been affirmed as a crucial determinant of leader-member exchange and employees’ performance.

This research is noteworthy that it is the first to take a social exchange perspective to examine customer-oriented behavior as an outcome of interpersonal interactions in the workplace. Accordingly, it delivers a key message to bank supervisors: “Treat employees the way you want your customers to be treated.”

The study explores the pivotal role of green information technology and sustainable business processes and their impact on organizational value in an underdeveloped economy. It aims to develop a comprehensive model for driving organizational value through sustainable initiatives.

Data was gathered through 474 survey instruments (41% response rate) from top managers of IT firms using a convenience sampling technique. After ensuring reliability and validity, hypotheses were tested using structural equation modeling. Data analysis utilized SPSS and AMOS 21.0.

The study revealed a significant positive impact of green information technology initiatives on financial and non-financial aspects, enhancing overall organizational value. Similarly, green information technology significantly influences sustainable business processes. Furthermore, sustainable business processes, encompassing economic, social, and environmental dimensions, enhance organizational value, including financial and non-financial performance. Consequently, a multifaceted sustainable model has been developed to optimize organizational value, providing new insights.

The findings imply that firms should focus on acquiring new green technologies and adopting sustainable processes, leading to enhanced profits and non-financial gains. This study aids managers in strategy development and implementation and guides policymakers in formulating context-specific policies. It enriches the existing literature on green IT, business process management, and organizational value.

The study rigorously tested a framework for fostering organizational value through green information technology and sustainable business processes in information technology firms. The proposed framework was validated using structural equation modeling.

This paper aims to propose a new neural-based enhanced extreme learning machine (EELM) algorithm, used as an online adaptive estimation model, regarding undetermined system dynamics and containing internal/external perturbations.

The EELM structure bases on the single layer feed-forward neural (SLFN) model in which the hidden weighting coefficients are initiated in random and the weighting outputs of the SLFN are online modified using an online adaptive rule implemented from Lyapunov stability concept.

Four different benchmark uncertain chaotic system tests have been satisfactorily investigated for demonstrating the superiority of proposed EELM technique.

Authors confirm that this manuscript is original.

The purpose of this paper is to propose an optimal energy management (OEM) method using intelligent optimization techniques applied to implement an optimally hybrid heat and power isolated microgrid. The microgrid investigated combines renewable and conventional power generation.

Five bio-inspired optimization methods include an advanced proposed multi-objective particle swarm optimization (MOPSO) approach which is comparatively applied for OEM of the implemented microgrid with other bio-inspired optimization approaches via their comparative simulation results.

Optimal multi-objective solutions through Pareto front demonstrate that the advanced proposed MOPSO method performs quite better in comparison with other meta-heuristic optimization methods. Moreover, the proposed MOPSO is successfully applied to perform 24-h OEM microgrid. The simulation results also display the merits of the real time optimization along with the arbitrary of users’ selection as to satisfy their power requirement.

This paper focuses on the OEM of a designed microgrid using a newly proposed modified MOPSO algorithm. Optimal multi-objective solutions through Pareto front demonstrate that the advanced proposed MOPSO method performs quite better in comparison with other meta-heuristic optimization approaches.

The purpose of this paper is to design a novel optimized biped robot gait generator which plays an important role in helping the robot to move forward stably. Based on a mathematical point of view, the gait design problem is investigated as a constrained optimum problem. Then the task to be solved is closely related to the evolutionary calculation technique.

Based on this fact, this paper proposes a new way to optimize the biped gait design for humanoid robots that allows stable stepping with preset foot-lifting magnitude. The newly proposed central force optimization (CFO) algorithm is used to optimize the biped gait parameters to help a nonlinear uncertain humanoid robot walk robustly and steadily. The efficiency of the proposed method is compared with the genetic algorithm, particle swarm optimization and improved differential evolution algorithm (modified differential evolution).

The simulated and experimental results carried out on the small-sized nonlinear uncertain humanoid robot clearly demonstrate that the novel algorithm offers an efficient and stable gait for humanoid robots with respect to accurate preset foot-lifting magnitude.

This paper proposes a new algorithm based on four key gait parameters that enable dynamic equilibrium in stable walking for nonlinear uncertain humanoid robots of which gait parameters are initiatively optimized with CFO algorithm.

This study aims to examine the impacts various types of resources had on customer effort in mandatory and voluntary value cocreation activities and the contribution of efforts in these different activity types to quality of life.

Data from customers across five chronic health conditions were collected through an online survey. Rasch analysis helped identify hierarchies of activities representing varying levels of effort across four activity types (mandatory (customer), mandatory (customer or organization), voluntary in-role and voluntary extra-role activities). The conceptual model that was developed to examine the relationships of interest was analyzed using partial least squares structural equation modeling.

While clinical resources helped mandatory activities and personal network resources facilitated voluntary activities, psychological resources had greater impacts on customer effort across the whole range of activities. Effort in each activity type contributed to the quality of life differently, with voluntary activities having the greatest impacts on quality of life.

This study lends support to a holistic approach to health service that requires the mobilization of networks of resources to encourage customers’ engagement in a broad range of activities. Understanding the resources facilitating effort in distinct activity types provides insights to develop strategies to drive value cocreation efforts that subsequently contribute to improvements in quality of life.

Drawing on an extensive and nuanced categorization of activities, this study broadened the understanding of the networks of resources that are integrated in customer value cocreation processes and the link between value cocreation efforts and quality of life.

The purpose of this study is to investigate the resistance in management accounting practices (MAPs) in a developing economy in the manufacturing and service sectors in Vietnam.

Data collection was carried out using survey questionnaires in Vietnamese language. The questionnaires were distributed to selected respondents from the manufacturing and service organisations in Vietnam. Textual structuralism was used to analyse different categories of data, i.e. survey questionnaires, photos and qualitative texts obtained from the literature.

The findings indicate that the usage of MAPs is more prevalent in the manufacturing sector than in the service sector. In addition, various traditional and contemporary MAPs are being used concurrently in Vietnam, which challenges the classical twofold dichotomy between mere socialism and mere neoliberalism.

The textual and photographic structuralism is used in this study to analyse primary data (geography and society and time) in a static setting. Hence, it does not analyse the research phenomena in a dynamic equilibrium setting to view the development of the research phenomena over time. Further research could expand data collection to include longitudinal and dynamic settings.

MAPs can be implemented in economic systems ranging from command to capitalist systems. Although most countries in the world follow a mixed economic system, specific MAPs could be designed for a transitional economic system such as that of Vietnam. This affects both theorists and practitioners in Vietnam applying sustainable MAPs to boost a country's competitiveness during transition.

This study expands understanding of the conformity of MAPs in relation to economic systems under the Communist Party of Vietnam (CPV) – the ruling party of the Socialist Republic of Vietnam. Understanding the differences in the way these MAPs are utilised constitutes an essential area of the accounting discipline to advance MAPs in Vietnamese enterprises and progress theoretical development of sustainable MAPs.

The research aimed to identify factors influencing customer loyalty in the use of mobile telecommunication services in Vietnam, focusing on two dimensions “attitudinal loyalty” and “behavioral loyalty.”

Based on survey data collected from 820 in two of Vietnam’s major cities users, Hanoi and Ho Chi Minh City, the data were processed using SPSS and AMOS software.

The study identified four factors affecting customer loyalty to mobile telecommunication services, with perceived service quality directly impacting both attitudinal and behavioral loyalty. Corporate image and perceived switching costs influenced attitudinal loyalty, while trust affected behavioral loyalty. Moreover, perceived service quality indirectly influenced attitudinal loyalty through corporate image and perceived switching costs.

The study only focuses on a limited number of factors influencing mobile telecommunications service user loyalty, its restricted geographical sample from only Hanoi and Ho Chi Minh City, and the simplification of perceived switching costs without considering their various components, such as psychological, financial and procedural costs, which could provide more comprehensive experimental and theoretical insights.

The study reveals that customer loyalty in Vietnam’s mobile telecommunications sector is linked to the relationship between attitude toward the service provider and continued usage behavior, categorizing customer groups into genuine loyalty, latent loyalty, feigned loyalty and disloyalty. It suggests that service providers should focus on improving service quality and cultivating a positive, transparent corporate image to bolster customer trust, foster stable relationships and remain competitive in the market.

The research model combines Oliver’s (1999) theory of loyalty with Aydin and Özer’s (2005) research model, focusing on perceived service quality, corporate image, trust and perceived switching costs, examining their relationships with both behavioral and attitudinal loyalty simultaneously.

Drawing on an extensive range of activities across different types, including mandatory (customer), mandatory (customer or organisation), voluntary in-role and voluntary extra-role activities, this study aims to identify different health-care customer value cocreation practice styles based on the combinations of value cocreation activities they undertake and empirically examine how customers adopting different styles differ in terms of well-being and satisfaction.

The study was conducted across health customers with a variety of chronic conditions. Data were collected from three focus groups and an online survey.

Five customer practice styles, namely, the highly active, other-oriented, provider-oriented, self-oriented and passive compliant customers, were revealed. While a moderate to a high level of activities is often recommended as it is associated with higher levels of physical, psychological, existential and social well-being and customer satisfaction, the results also suggest there is no single ideal style as different styles may be associated with the same level of outcomes.

As customers cocreate value differently, it is crucial to understand the underlying heterogeneity and its implications to outcomes.

Highly active and provider-oriented are the two styles that should be particularly encouraged because of their association with positive outcomes. Personalised strategies need to be developed and resources need to be put in place to build productive relationships amongst service providers, customers and peers and to increase the perceived value of such interactions so as to shift customers towards more active styles.

The study advances the understanding of customer value cocreation and its link to well-being by empirically deriving five distinct practice styles and demonstrating how they differ across meaningful well-being and satisfaction dimensions.