How Positive and Negative Electronic Word of Mouth (eWOM) Affects Customers’ Intention to Use Social Commerce? A Dual-Stage Multi Group-SEM and ANN Analysis

International Journal of Human-Computer Interaction, Год журнала: 2022, Номер 40(3), С. 808 - 837

Опубликована: Сен. 29, 2022

Advances in Web 2.0 technologies have led to the widespread assimilation of electronic commerce platforms as an innovative shopping method and alternative traditional shopping. However, due pro-technology bias, scholars focus more on adopting technology, slightly less attention has been given impact word mouth (eWOM) customers' intention use social commerce. This study addresses gap by examining through exploring effect eWOM males' females' intentions identifying mediation perceived crowding. To this end, we adopted a dual-stage multi-group structural equation modeling artificial neural network (SEM-ANN) approach. We successfully extended concept integrating negative positive factors The results reveal causal non-compensatory relationships between constructs. variables supported SEM analysis are ANN model's input neurons. According natural significance obtained from approach, accept related mainly helping company, followed core functionalities. In contrast, females highly influenced technical aspects mishandling. model predicts with accuracy 97%. discuss theoretical practical implications increasing toward channels among consumers based our findings.

Язык: Английский

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Wireless sensor network security: A recent review based on state-of-the-art works

International Journal of Engineering Business Management, Год журнала: 2023, Номер 15

Опубликована: Фев. 1, 2023

Wireless sensor networks (WSNs) are a major part of the telecommunications sector. WSN is applied in many aspects, including surveillance battlefields, patient medical monitoring, building automation, traffic control, environmental and intrusion monitoring. The made up vast number nodes, which interconnected through network. However, despite growing usage applications that rely on WSNs, they continue to suffer from restrictions, such as security issues limited characteristics due low memory calculation power. Security lead lack communication between sensors, wasting more energy. need for efficient solutions has increased, especially with rise Internet Things, relies effectiveness WSNs. This review focuses by reviewing addressing diverse types assaults happened each layer were published previous 3 years. As consequence, this paper gives taxonomy threats different algorithmic numerous researchers who seek counter attack have explored. study also presents framework constructing an detection system emphasising drawbacks approach suggested defend against specific forms assault. In order diminish impact attack, summary shows attacks majority dealt well ones not yet addressed their academic work.

Язык: Английский

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Exploring sustainable healthcare: Innovations in health economics, social policy, and management

Heliyon, Год журнала: 2024, Номер 10(13), С. e33186 - e33186

Опубликована: Июнь 18, 2024

The healthcare sector faces several challenges, such as rising costs, demand, and the need for sustainability. A new area of has emerged due to these problems, focusing on long-term improvements in management, social policy, health economics. This research explores cutting edge healthcare, concentrating advancements To better understand problems affecting pinpoint areas where sustainable solutions are most required, a survey 2000 professionals policymakers was performed. data were analyzed using structural equation modeling (SEM), thorough model created. According survey's findings, now three significant challenges: growing prices, increased respondents, main innovations required These conclusions supported by (SEM) analysis, which also showed that practices fields significantly impact sustainability system. findings lead this conclude guarantee accessibility affordability everyone, move towards economics, management is needed. Cooperation between providers, policymakers, other stakeholders create creative support sector. study offers framework may act guide further formulation regulations.

Язык: Английский

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Circular economy of medical waste: novel intelligent medical waste management framework based on extension linear Diophantine fuzzy FDOSM and neural network approach

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(21), С. 60473 - 60499

Опубликована: Апрель 10, 2023

Язык: Английский

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From likes to loyalty: Exploring the impact of influencer credibility on purchase intentions in TikTok

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 78, С. 103709 - 103709

Опубликована: Янв. 15, 2024

Язык: Английский

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Sustainable Digital Marketing Under Big Data: An AI Random Forest Model Approach

IEEE Transactions on Engineering Management, Год журнала: 2024, Номер 71, С. 3566 - 3579

Опубликована: Янв. 1, 2024

Digital marketing refers to the process of promoting, selling, and delivering products or services through online platforms channels using internet electronic devices in a digital environment. Its aim is attract engage target audiences various strategies methods, driving brand promotion sales growth. The primary objective this scholarly study seamlessly integrate advanced big data analytics artificial intelligence (AI) technology into realm marketing, thereby fostering progression optimization sustainable practices. First, characteristics applications involving vast, diverse, complex datasets are analyzed. Understanding their attributes scope application essential. Subsequently, comprehensive investigation AI-driven learning mechanisms conducted, culminating development an AI random forest model (RFM) tailored for marketing. Subsequent this, leveraging real-world case enterprise X, fundamental customer collected subjected meticulous analysis. RFM model, ingeniously crafted study, then deployed prognosticate anticipated count prospective customers said enterprise. empirical findings spotlight pronounced prevalence university-affiliated individuals across diverse age cohorts. In terms occupational distribution within base, categories workers educators emerge as dominant, constituting 41% 31% demographic, respectively. Furthermore, price patrons exhibits skewed pattern, whereby bracket 0–150 encompasses 17% population, whereas range 150–300 captures notable 52%. These delineated bands collectively constitute substantial proportion, exceeding 450 embodies minority, accounting less than 20%. Notably, devised endeavor demonstrates remarkable proficiency accurately projecting forthcoming passenger volumes over seven-day horizon, significantly surpassing predictive capability logistic regression. Evidently, proffered herein excels precise anticipation counts, furnishing pragmatic foundation intelligent evolution strategies.

Язык: Английский

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Unveiling the Determinants of Digital Strategy from the Perspective of Entrepreneurial Orientation Theory: A Two-Stage SEM-ANN Approach

Global Journal of Flexible Systems Management, Год журнала: 2024, Номер 25(2), С. 243 - 260

Опубликована: Март 4, 2024

Язык: Английский

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What Is Quantitative Research? An Overview and Guidelines

Australasian Marketing Journal (AMJ), Год журнала: 2024, Номер unknown

Опубликована: Авг. 1, 2024

In an era of data-driven decision-making, a comprehensive understanding quantitative research is indispensable. Current guides often provide fragmented insights, failing to offer holistic view, while more sources remain lengthy and less accessible, hindered by physical proprietary barriers. This gap underscores the urgent need for clear, accessible guide that demystifies research, necessity not just academic rigor but practical application. Against this backdrop, offers overview elucidating its core motivations, defining characteristics, methodological considerations. The necessity, importance, relevance, urgency are articulated, establishing strong foundation subsequent discussion, which delineates scope, objectivity, goals, data, methods distinguish alongside balanced inspection strengths shortcomings, particularly in terms data collection analysis. also addresses various design considerations, ranging from choice between primary secondary cross-sectional longitudinal studies, experimental non-experimental designs. crucial role pretesting piloting instruments underscored, with discussion focal areas, participant selection. Data considerations examined, covering sampling approaches, sample size determination, resource maximization strategies, as well preparation techniques including handling missing managing outliers, standardizing variables, verifying assumptions. further delves into analysis spotlighting assessment psychometric properties, diverse analytical essential robustness checks. concludes demystifying hypothesis testing process, detailing formulation null alternative hypotheses, interpretation statistical significance, issue Type I, II, III, IV errors. Therefore, serves valuable compass researchers seeking navigate multifaceted aspects ensuring rigorous, reliable, valid scientific inquiry.

Язык: Английский

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Determinants of Generative AI in Promoting Green Purchasing Behavior: A Hybrid Partial Least Squares–Artificial Neural Network Approach

Business Strategy and the Environment, Год журнала: 2025, Номер unknown

Опубликована: Фев. 11, 2025

ABSTRACT In the era of rapid technological advancement, generative artificial intelligence (AI) has emerged as a transformative force in various sectors, including environmental sustainability. This research investigates factors and consequences using AI to access information influence green purchasing behavior. It integrates theories such adoption model, value–belief–norm theory, elaboration likelihood cognitive dissonance theory pinpoint prioritize determinants usage for Data from 467 participants were analyzed hybrid methodology that blends partial least squares (PLS) with neural networks (ANN). The PLS outcomes indicate interactivity, responsiveness, knowledge acquisition application, concern, ascription responsibility are key predictors use information. Furthermore, concerns, values, personal norms, responsibility, individual impact, emerge ANN analysis offers unique perspective discloses variations hierarchy these predictors. provides valuable insights stakeholders on harnessing promote sustainable consumer behaviors

Язык: Английский

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Understanding and predicting the determinants of blockchain technology adoption and SMEs' performance

The International Journal of Logistics Management, Год журнала: 2022, Номер 34(6), С. 1781 - 1807

Опубликована: Дек. 11, 2022

Purpose The success of SMEs' financial and market performance (MAP) depends on the firms' level blockchain technology adoption (BCA) identifying crucial antecedents that influence adoption. Therefore, this research attempts to develop an integrated model understand predict determinants BCA its effect performance. purpose paper is address issue. Design/methodology/approach theoretical foundations are technology–organization –environment (TOE) framework resource-based view (RBV) perspective. authors distributed a survey SMEs in South Africa received 311 responses. covariance-based structural equation modeling (CB-SEM) followed by artificial neural network (ANN) technique was used for data analysis. Findings SEM results showed relative advantage, compatibility, top management support (TMS), organizational readiness (ORD), competitive pressures (COP), external support, regulations legislation significantly BCA. However, complexity negatively impacts analysis also revealed influences firms, MAP. Furthermore, were input ANN modeling. TMS most critical predictor BCA, ORD, COP, legislation. Practical implications provide valuable information when maneuvering their strategies scope technology. Additionally, from perspective emerging market, study has successfully contributed TOE RBV. Originality/value This first work explore context developing country. one pioneer causal predictive statistical predicting

Язык: Английский

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