Perspective View Research Articles

Rethink data-driven human behavior prediction: A Psychology-powered Explainable Neural Network

Human behavior prediction is a rapidly evolving field with numerous applications in various domains. The rapid development of machine learning facilitates research on data-driven behavior prediction. At the same time, in human factors domains, researchers still focus on modeling psychological decision-making processes from the psychological perspectives of view based on subjective data. However, it is difficult to obtain one’s psychological states in real-world scenarios, given that the collection of subjective data in real-world settings is difficult and intrusive. Thus, psychology theories can hardly be applied to behavior prediction directly. To bridge the gap between data-driven behavior prediction and psychological decision-making models, we proposed a novel Psychology-powered Explainable Neural network (PEN). In PEN, for the first time, the psychological factors of individuals (i.e., human-side features such as attitudes to technologies) are modeled and recovered explicitly based on one’s historical behaviors in certain scenarios. The multi-task optimization ensures each component in PEN to be optimized with proper gradient. Assessment results over three evaluation protocols demonstrate that, based on the historical behaviors of an individual only, the PEN can outperform the best existing behavior prediction models by 1.87% and 4.68% on two datasets when a 1:9 training–testing data partition was adopted. The framework in PEN has provided a new solution for explainable human behavior prediction when psychological information is not directly available.

Ladungstransferdynamiken in organisch–anorganischen hybriden Heterostrukturen – Einblicke mithilfe von Summenfrequenzspektroskopie

AbstractOrganisch–anorganische Heterostrukturen spielen eine zentrale Rolle in modernen elektronischen und optoelektronischen Anwendungen. Dazu gehören Photodetektoren und Feldeffekttransistoren sowie die Umwandlung von Solarenergie mithilfe von Photoelektroden für Farbstoffsolarzellen, photoelektrochemischen Zellen und organischen Photovoltaiksystemen. Die Leistung solcher Systeme wird zu großen Teilen durch die Dynamik des Ladungstransfers an und zwischen (inneren) Grenzflächen, z. B. zwischen einem Halbleiter mit großer Bandlücke und molekularen Sensibilisatoren und/oder Katalysatoren, bestimmt. Daher ist ein detailliertes Verständnis der Beziehung zwischen Struktur, Dynamik und Funktion solcher funktionalen Grenzflächen notwendig, um mögliche Limitationen der Leistungsfähigkeit dieser Materialien und Systeme auf molekularer Ebene zu erklären. Die Summenfrequenzspektroskopie (SFS) als grenzflächenempfindliche Technik ermöglicht es, spezifische chemische Informationen über Grenzflächen zu erhalten. Wird diese in ein Anregungs‐Abfrage‐Schema integriert, liefert sie neben solchen chemischen Erkenntnissen eine ultraschnelle Zeitauflösung. Dieser Mini‐Review‐Artikel diskutiert die Vorteile und das Potenzial der SFS für die Untersuchung von Ladungstransferdynamiken an Grenzflächen und von strukturellen Veränderungen an inneren Grenzflächen. Es wird ein wichtiger Beitrag dieser einzigartigen spektroskopischen Einblicke in ansonsten unzugängliche Grenzflächen vorgestellt, der, so hoffen wir, neue Wege für ein besseres Verständnis der funktionsbestimmenden Prozesse in komplexen Materialien aufzeigt. Damit sollen Gemeinschaften, die sich dem Design von Materialien und Bauteilen widmen, mit Spektroskopikern zusammengebracht werden.

Charge Transfer Dynamics in Organic-Inorganic Hybrid Heterostructures-Insights by Vibrational-Sum Frequency Generation Spectroscopy.

Organic-inorganic heterostructures play a pivotal role in modern electronic and optoelectronic applications including photodetectors and field effect transistors, as well as in solar energy conversion such as photoelectrodes of dye-sensitized solar cells, photoelectrochemical cells, and in organic photovoltaics. To a large extent, performance of such devices is controlled by charge transfer dynamics at and across (inner) interfaces, e.g., between a wide band gap semiconductor and molecular sensitizers and/or catalysts. Hence, a detailed understanding of the structure-dynamics-function relationship of such functional interfaces is necessary to rationalize possible performance limitations of these materials and devices on a molecular level. Vibrational sum-frequency generation (VSFG) spectroscopy, as an interface-sensitive spectroscopic technique, allows to obtain chemically specific information from interfaces and combines such chemical insights with ultrafast time resolution, when integrated as a spectroscopic probe into a pump-probe scheme. Thus, this minireview discusses the advantages and potential of VSFG spectroscopy for investigating interfacial charge transfer dynamics and structural changes at inner interfaces. A critical perspective of the unique spectroscopic view of otherwise inaccessible interfaces is presented, which we hope opens new opportunities for an improved understanding of function-determining processes in complex materials, and brings together communities who are devoted to designing materials and devices with spectroscopists.

Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe.

Learning powerful representations in bird's-eye-view (BEV) for perception tasks is trending and drawing extensive attention both from industry and academia. Conventional approaches for most autonomous driving algorithms perform detection, segmentation, tracking, etc., in a front or perspective view. As sensor configurations get more complex, integrating multi-source information from different sensors and representing features in a unified view come of vital importance. BEV perception inherits several advantages, as representing surrounding scenes in BEV is intuitive and fusion-friendly; and representing objects in BEV is most desirable for subsequent modules as in planning and/or control. The core problems for BEV perception lie in (a) how to reconstruct the lost 3D information via view transformation from perspective view to BEV; (b) how to acquire ground truth annotations in BEV grid; (c) how to formulate the pipeline to incorporate features from different sources and views; and (d) how to adapt and generalize algorithms as sensor configurations vary across different scenarios. In this survey, we review the most recent works on BEV perception and provide an in-depth analysis of different solutions. Moreover, several systematic designs of BEV approach from the industry are depicted as well. Furthermore, we introduce a full suite of practical guidebook to improve the performance of BEV perception tasks, including camera, LiDAR and fusion inputs. At last, we point out the future research directions in this area. We hope this report will shed some light on the community and encourage more research effort on BEV perception.

The gastrointestinal microbiota in the development of ME/CFS: a critical view and potential perspectives.

Like other infections, a SARS-CoV-2 infection can also trigger Post-Acute Infection Syndromes (PAIS), which often progress into myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). ME/CFS, characterized by post-exercise malaise (PEM), is a severe multisystemic disease for which specific diagnostic markers or therapeutic concepts have not been established. Despite numerous indications of post-infectious neurological, immunological, endocrinal, and metabolic deviations, the exact causes and pathophysiology remain unclear. To date, there is a paucity of data, that changes in the composition and function of the gastrointestinal microbiota have emerged as a potential influencing variable associated with immunological and inflammatory pathways, shifts in ME/CFS. It is postulated that this dysbiosis may lead to intestinal barrier dysfunction, translocation of microbial components with increased oxidative stress, and the development or progression of ME/CFS. In this review, we detailed discuss the findings regarding alterations in the gastrointestinal microbiota and its microbial mediators in ME/CFS. When viewed critically, there is currently no evidence indicating causality between changes in the microbiota and the development of ME/CFS. Most studies describe associations within poorly defined patient populations, often combining various clinical presentations, such as irritable bowel syndrome and fatigue associated with ME/CFS. Nevertheless, drawing on analogies with other gastrointestinal diseases, there is potential to develop strategies aimed at modulating the gut microbiota and/or its metabolites as potential treatments for ME/CFS and other PAIS. These strategies should be further investigated in clinical trials.

The Possible Introduction of Digital Currency Exchange in Bangladesh: A Legal Analysis

Digital currency is the most interesting and demanding currency medium over the world. Digital currency means crypto currency and which means Bitcoin, NFT Ethereum, etc. Day by day those digital currencies are increasing in the crypto market. In Bangladesh this currency medium is not approved yet. But this digital currency can change the whole view of Bangladesh's perspective if it’s approved by the government. This digital currency can play an influential role in e-commerce and business and can change massively for the economy's growth. The acceptance of digital currency in Bangladesh is now a matter because this is an important issue in this globalized world. All the western countries approve of the digital currency dealing system which is binding by their law and they trust in their highly configured block chain security for this. The Russia-Ukraine war makes it more important to approve it because many economic issues and crises over the world arise. We know digital currency has no central control in terms of security. That is why the regulatory framework is very much necessary before approval. There is a large scope for digital currency in Bangladesh for use in different fields. Especially in e-commerce business or any kind of trading in the international market this digital currency can be the best transaction system. Right now, in Bangladesh, there is no specific law for digital currency exchange. But it should be approved to improve the economy in this globalized world. This paper tries to find out why this digital currency approval is important for Bangladesh and how it’s security can be ensured through law.

RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation

3D occupancy prediction is an emerging task that aims to estimate the occupancy states and semantics of 3D scenes using multi-view images. However, image-based scene perception encounters significant challenges in achieving accurate prediction due to the absence of geometric priors. In this paper, we address this issue by exploring cross-modal knowledge distillation in this task, i.e., we leverage a stronger multi-modal model to guide the visual model during training. In practice, we observe that directly applying features or logits alignment, proposed and widely used in bird's-eye-view (BEV) perception, does not yield satisfactory results. To overcome this problem, we introduce RadOcc, a Rendering assisted distillation paradigm for 3D Occupancy prediction. By employing differentiable volume rendering, we generate depth and semantic maps in perspective views and propose two novel consistency criteria between the rendered outputs of teacher and student models. Specifically, the depth consistency loss aligns the termination distributions of the rendered rays, while the semantic consistency loss mimics the intra-segment similarity guided by vision foundation models (VLMs). Experimental results on the nuScenes dataset demonstrate the effectiveness of our proposed method in improving various 3D occupancy prediction approaches, e.g., our proposed methodology enhances our baseline by 2.2% in the metric of mIoU and achieves 50% in Occ3D benchmark.

Big data driven supply chain innovative capability for sustainable competitive advantage in the food supply chain: Resource‐based view perspective

AbstractThe food supply chain (FSC) is becoming more sustainable as companies aim to meet demand with lower waste and emissions. Big data analytics (BDA) can help achieve sustainability goals by extracting meaningful information from past data to help create sustainable strategies. However, in the sustainability literature, BDA's role in enabling sustainable FSC innovations is not explored. Thus, this study investigates how data‐driven analytics might improve FSC innovation by adopting creative tactics in every triple bottom line (TBL) component – green, corporate social responsibility (CSR), and financial – to gain a competitive edge. A resource‐based view (RBV) perspective was used to evaluate the links between supply chain (SC) innovation capabilities and competitive advantage (CA) in FSC innovation and sustainability. Indian food processing enterprises were surveyed using a questionnaire to collect data from 200 respondents. Adopting a structural equation modelling (SEM) approach, six hypotheses were evaluated for significance on the surveyed data using AMOS V.20. Since both goodness and badness fit indices were above cut‐off values, the measurement model was robustly evaluated and found to fit the survey data well. Structural model findings supported all study hypotheses. The results indicate that BDA strongly impacts food supply chain TBL and FSC innovation. Data‐driven innovative TBL methods were shown to boost FSC competitiveness. With the growing demand for value‐added innovation in FSC sustainable development, this study uniquely contributes to the current literature by linking BDA and TBL practice innovation to FSC CA.

Improving depth uncertainty in plenoptic camera-based velocimetry

This work describes the development of a particle tracking velocimetry (PTV) algorithm designed to improve three-dimensional (3D), three-component velocity field measurements using a single plenoptic camera. Particular focus is on mitigating the longstanding depth uncertainty issues that have traditionally plagued plenoptic particle image velocimetry (PIV) experiments by leveraging the camera’s ability to generate multiple perspective views of a scene in order to assist both particle triangulation and tracking. 3D positions are first estimated via light field ray bundling (LFRB) whereby particle rays are projected into the measurement volume using image-to-object space mapping. Tracking is subsequently performed independently within each perspective view, providing a statistical amalgamation of each particle’s predicted motion through time in order to help guide 3D trajectory estimation while simultaneously protecting the tracking algorithm from physically unreasonable fluctuations in particle depth positions. A synthetic performance assessment revealed a reduction in the average depth errors obtained by LFRB as compared to the conventional multiplicative algebraic reconstruction technique when estimating particle locations. Further analysis using a synthetic vortex ring at a magnification of − 0.6 demonstrated plenoptic-PIV capable of maintaining the equivalent of 0.1–0.15 voxel accuracy in the depth domain at a spacing to displacement ratio of 5.3–10.5, an improvement of 84–89% compared to plenoptic-PIV. Experiments were conducted at a spacing to displacement ratio of approximately 5.8 to capture the 3D flow field around a rotor within the rotating reference frame. The resulting plenoptic-PIV/PTV vector fields were evaluated with reference to a fixed frame stereoscopic-PIV (stereo-PIV) validation experiment. A systematic depth-wise (radial) component of velocity directed toward the wingtip, consistent with observations from prior literature and stereo-PIV experiments, was captured by plenoptic-PTV at magnitudes similar to the validation data. In contrast, the plenoptic-PIV did not discern any coherent indication of radial motion. Our algorithm constitutes a significant advancement in enhancing the functionality and versatility of single-plenoptic camera flow diagnostics by directly addressing the primary limitation associated with plenoptic imaging.Graphical abstract

Government environmental initiatives, managerial environmental attention, and corporate ESG performance: from the perspective of attention-based View

ABSTRACT Using firm-level data in China from 2011–2022, we employ text analysis and machine learning methods to construct government environmental initiatives (GEI) index, and examine the impact of GEI on corporate environment, social, and governance (ESG) performance. Based on attention-based view (ABV), we find that GEI increases corporate ESG performance by promoting managerial environmental attention (MEA), especially in high-polluting industries and state-owned enterprises (SOEs). Furthermore, the results remain unchanged after robustness tests. Our findings imply that GEI serves as an effective means for advancing the sustainable development of listed companies.

Effect of resource integration on organizational resilience of megaprojects: role of dynamic capability and resource availability

ABSTRACT Organizational resilience is an important factor for megaprojects to adapt to dynamic and complex environments. This study aims to explore the relationship between the resource integration mechanism and organizational resilience from the perspectives of resource view and dynamic capability. Dynamic capability and resource availability are selected as the mediating and moderating variables, respectively, to construct a moderated mediation structural equation model. The PLS-SEM method is used to test hypotheses on the basis of the survey data of 243 megaproject practitioners. Results indicate that resource integration has a positive impact on organizational resilience, with dynamic capability playing a mediating role. This mediation effect is negatively moderated by resource availability, which is contrary to the hypotheses. This study defines the resource integration mechanism in the context of megaprojects and constructs a research framework for organizational resilience, which extends relevant concepts to the research field of megaprojects governance. The mediating mechanism of dynamic capability and the negative moderating mechanism of resource availability are clarified, revealing the development law of organizational resilience in megaprojects and thus providing managerial insights and practical implications for improving organizational resilience and resisting environmental uncertainty.

Physical culture as a means of physical activity and strengthening the health of young students

Modern educational systems are aimed at the comprehensive development of young people, and physical education is an integral means of such development. The article aimed to consider the integration of physical culture in these systems, and its individual impact on youth health in terms of medical, educational, and sports industries, as one of the key factors in popularisation, to achieve the most objective overview. The key method in the study of this issue was descriptive, as one that allows full presenting the reviews of various studies on this topic from the perspective of modern scientific views. Methods of synthesis, analysis, abstraction, and analogies – allowed to approach the study of this topic comprehensively and consider one of the most important means of physical health through the prism of the use of theoretical methods of scientific knowledge. Thus, as a result of this work, this study was isolated, structured, formed, and combined into a single descriptive system. Physical culture is described as a means of strengthening the health of students in view of their inclusion in various interrelated areas of socio-economic life. The materials of this article can be useful as additional material for students, teachers, and researchers, to some extent physicians or speechwriters interested in areas: education, health, and physical education as a separate discipline or individual means to improve the quality of life, and also a wide range of interested readers.

Examining the relationship between active transport and exposure to streetscape diversity during travel: A study using GPS data and street view imagery

Active transport (AT)—physical activity (PA) during travel—can promote human health. Among built environment factors related to travel research, design refers to the street network features encouraging AT. The advent of street view images (SVIs) presents the potential to measure design during travel by capturing the eye-level built environments. Benefited by SVIs, this study innovatively introduces streetscape diversity—the interconnection of street view-derived built environment factors—during travel as the proxy to measure design from the street view perspective. Exposures to higher streetscape diversity could provide increased access to potential destinations and therapeutic landscapes, thereby promoting AT. Through integrating SVIs and young adults’ Global Positioning System (GPS) trajectories, this study utilized negative binomial regression models to assess the relationship between streetscape diversity and time spent in AT. Results indicate that the inclusion of streetscape diversity improves the model performance, and there is a positive relationship between streetscape diversity and AT. This finding indicates that increased access to travel routes with diverse streetscapes could increase the probability of participating in AT. Furthermore, integrating individual GPS data and SVIs allows more precise space-time measurement of individual environmental exposures.

Benchmarking for organisational competitiveness: a resource-based view perspective

PurposeThe paper tries to investigate the impact of applications of the resource-based view (RBV) theory in the management field to improve the firm’s profitability. Global firms are innovating and adopting new technology, paving the way to improve their performance.Design/methodology/approachWe have adopted RBV in management practices such as marketing, strategy, finance, and human resources.FindingsRBV has gained researchers' attention with the growing competitive world and new challenges to retaining customers and achieving their pre-defined targets. We attempt to identify the issues related to the usage of RBV in management.Originality/valueUsing RBV in management may help researchers create a competitive mindset and be prepared for uncertain challenges in the business world.

How three-dimensional sketching environments affect spatial thinking: A functional magnetic resonance imaging study of virtual reality.

Designers rely on sketching to visualize and refine their initial ideas, and virtual reality (VR) tools now facilitate sketching in immersive 3D environments. However, little research has been conducted on the differences in the visual and spatial processes involved in 3D versus 2D sketching and their effects on cognition. This study investigated potential differences in spatial and visual functions related to the use of 3D versus 2D sketching media by analyzing functional magnetic resonance imaging (fMRI) data. We recruited 20 healthy, right-handed students from the Department of Horticulture and Landscape Architecture with at least three years of experience in freehand landscape drawing. Using an Oculus Quest VR headset controller and a 12.9-inch iPad Pro with an Apple Pencil, we tested participants individually with 3D and 2D sketching, respectively. When comparing 2D and 3D sketches, our fMRI results revealed significant differences in the activation of several brain regions, including the right middle temporal gyrus, both sides of the parietal lobe, and the left middle occipital gyrus. We also compared different sketching conditions, such as lines, geometrical objects (cube), and naturalistic objects (perspective view of a tree), and found significant differences in the spatial and visual recognition of brain areas that support visual recognition, composition, and spatial perception. This finding suggests that 3D sketching environments, such as VR, may activate more visual-spatial functions during sketching compared to 2D environments. The result highlights the potential of immersive sketching environments for design-related processes and spatial thinking.

A distributed containment tracking control of the UAV formation with prescribed performance subject to collision avoidance

SummaryIn this paper, the issue of finite‐time containment tracking control under collision avoidance constraints for unmanned aerial vehicle (UAV) formation is investigated. To tackle the challenge of collision avoidance in the context of formation containment tracking, combined with a prescribed performance function, a distributed containment tracking control scheme is proposed. Firstly, a UAV formation containment control model from a top view perspective is established. Next, to solve the internal collision avoidance within the formation, a restricted movement region is constructed for each UAV using a distributed prescribed performance function, which guarantees that each UAV's trajectory is maintained within a predefined area. Furthermore, invoking with the finite‐time control theory for the formation, a distributed containment tracking control scheme is developed to complete finite‐time tracking of the formation. Finally, simulation results are carried out to demonstrate the efficacy of the proposed approach.

Emergence of new firms: A test of the resource-based view, signaling and behavioral perspectives

The resource-based view, signaling, and behavioral perspectives focus on different theoretical mechanisms through which human capital and the behavioral characteristics of nascent entrepreneurs, in combination with insider and outsider financing, may influence the emergence of new ventures. This work tests the relative explanatory power of these different theoretical perspectives. We estimate a mediation model to disentangle the direct effect of nascent entrepreneur personal characteristics on new firm creation from their indirect effects, mediated by the amount of insider financing committed to new ventures and access to greater outsider financing. Our empirical results are based on data from the Panel Study of Entrepreneurial Dynamics (PSED II) and improve our understanding of the drivers of new firm creation and their underlying mechanisms. Our findings support the resource-based view and the behavioral perspective in our sample of nascent entrepreneurs, but do not provide evidence of the signaling perspective.

Perspective View of Stress, Anxiety, and Depression among Pregnant Women: A Review

The prevalence of depression, anxiety, and stress symptoms in pregnant women tends to be most pronounced during the initial trimester and thereafter diminishes over the course of pregnancy, reaching its lowest point during the postpartum phase. This review examines the frequency, determinants, and physiological and psychological consequences of stress, anxiety, and depression during pregnancy. This highlights the need to understand mental health in expectant women and the unique characteristics of anxiety and depression, and also examines the interaction between hormonal, biological, psychological, and environmental components, as well as the potential influence of previous trauma on mental health during pregnancy and the physiological impact of stress on the mother’s body and the development of the fetus, emphasizing the possible outcomes for both the mother and the unborn child. The significance of the psychological consequences of anxiety and depression is underscored, emphasizing the imperative for timely identification and management. The review highlights the need to screen and evaluate stress, anxiety, and depression in expectant mothers, highlighting the necessity for a complete approach to maternal mental healthcare.

Achieving sustainable development with sustainable packaging: A natural‐resource‐based view perspective

AbstractSustainable packaging is a pivotal aspect of sustainable development, involving multi‐faceted issues such as stakeholder management and environmental policy compliance. Despite the efforts to find packaging solutions, the extant literature is largely fragmented, featuring a high level of heterogeneity among studies that spread across different disciplines, with the majority examining important packaging issues in isolation. A study that systematically consolidates findings of different important areas of sustainable packaging implementation is lacking. This challenges companies' adoption of research findings in business strategy development. Thus, this paper conducts a systematic literature review combining keyword co‐occurrence analysis, thematic analysis and qualitative content analysis to uncover major research domains, consolidate important findings and reveal unsolved research gaps, which are crucial to advancing sustainable packaging management. The findings reveal four major research domains: (1) sustainable packaging materials and properties, (2) management practices of sustainable packaging, (3) consumer behaviours towards sustainable packaging and (4) packaging waste management. Drawing on the natural‐resource‐based view (NRBV) theory and the review findings, this study proposes four future research directions: (1) identifying ways to enhance the commercialisation of sustainable packaging technological innovations, (2) uncovering reasons for insufficient social aspect investigation in sustainable packaging research, (3) exploring strategies to enhance stakeholder integration in sustainable packaging management and (4) examining contingency factors of packaging waste management effectiveness. The research agenda is important to provide practical and managerial insights for business strategy development in sustainable packaging to achieve pollution prevention, product stewardship and sustainable development capabilities to gain future growth and competitive advantage.

Assessing the critical determinants of cross-border E-commerce adoption intention in Vietnamese small and medium-sized enterprises: PLS-SEM algorithm approach

Cross-border e-commerce(CBEC) has created enormous economic benefits for consumers and vendors worldwide. Vietnamese Small and Medium-sized Enterprise (SMEs) can enhance their competitiveness and facilitate their integration into the global market via cross-border e-commerce adoption. This study assesses the critical determinants of cross-border e-commerce adoption intention in Vietnamese SMEs. This study integrates the factors of the technology–organisation–environment (TOE) framework and the theory of planned behaviour (TPB) to construct a holistic framework to assess the critical determinants of cross-border e-commerce adoption intentions among SMEs in Vietnam. The research method utilised Structural Equation Modelling Partial Least Squares (SEM-PLS) with SmartPLS (version 4.0) to evaluate the relationship between variables. The sample size consists of 400 respondents from Vietnamese SMEs. The results indicate that perceived behavioural control, subjective norms, and attitudes toward CBEC adoption are the critical determinants of cross-border e-commerce adoption intention among Vietnamese SMEs. For the technological dimensions of the TOE framework, perceived benefits, perceived compatibility and perceived security positively relate to attitude toward CBEC adoption; perceived complexity and perceived cost negatively relate to attitude toward CBEC adoption and perceived behavioural control. For the organisational dimensions of the TOE framework, government support, customer pressure, and competitive pressure positively relate to subjective norms. For the environmental dimensions of the TOE framework, organisational readiness, organisational innovativeness, and e-commerce knowledge positively relate to perceived behavioural control. By integrating the constructs of TPB and TOE into a single framework, this study adds to current knowledge by addressing the literature gap on the significant role of organisational and environmental factors in the adoption of SMEs' CBEC in developing countries like Vietnam. The managerial implications provided a holistic view of SMEs' perspectives and practices on promoting the CBEC adoption intention.