Assessing customers perception of online shopping risks: A structural equation modeling–based multigroup analysis

Journal of Retailing and Consumer Services, Год журнала: 2022, Номер 71, С. 103188 - 103188

Опубликована: Ноя. 29, 2022

Increasing evidence shows the role of perceived risk in customers' attitude and intention to use online shopping services. However, literature disagreement regarding types risks that influence purchase intention. Therefore, this study aims empirically identify most relevant sources uncertainties associated with services investigate sociodemographic characteristics (e.g., gender, age, experience) on levels using data collected through a survey questionnaire. A total 558 participants were selected across three countries (Jordan, Saudi Arabia, Kuwait). The responses evaluated structural equation modeling multigroup analysis. analysis showed tested uncertainty, only had significant decisions: financial risk, information privacy risk. Regarding moderating variables, previous experience has effect. At same time, gender age found not affect relationship between These findings may help stores understand concerns when considering shopping. limitations theoretical managerial implications present are discussed.

Язык: Английский

---

Predicting consumers' purchase intention through fast fashion mobile apps: The mediating role of attitude and the moderating role of COVID-19

Technological Forecasting and Social Change, Год журнала: 2022, Номер 186, С. 122111 - 122111

Опубликована: Окт. 29, 2022

Язык: Английский

---

Deep Learning-Assisted Smart Process Planning, Robotic Wireless Sensor Networks, and Geospatial Big Data Management Algorithms in the Internet of Manufacturing Things

ISPRS International Journal of Geo-Information, Год журнала: 2022, Номер 11(5), С. 277 - 277

Опубликована: Апрель 27, 2022

The purpose of our systematic review is to examine the recently published literature on Internet Manufacturing Things (IoMT), and integrate insights it configures deep learning-assisted smart process planning, robotic wireless sensor networks, geospatial big data management algorithms by employing Preferred Reporting Items for Systematic Reviews Meta-analysis (PRISMA) guidelines. Throughout October 2021 January 2022, a quantitative aggregators such as ProQuest, Scopus, Web Science was carried out, with search terms including “deep planning + IoMT”, “robotic networks “geospatial IoMT”. As analyzed research between 2018 only 346 sources satisfied eligibility criteria. A Shiny app leveraged PRISMA flow diagram comprise evidence-based collected handled data. Major difficulties challenges comprised identification robust correlations among inspected topics, but focusing most recent relevant deploying screening quality assessment tools Appraisal Tool Cross-Sectional Studies, Dedoose, Distiller SR, Mixed Method Tool, Review Data Repository we integrated core outcomes related IoMT. Future should investigate dynamic scheduling production execution systems advanced data-driven decision making, networks.

Язык: Английский

---

Big Data Management Algorithms, Deep Learning-Based Object Detection Technologies, and Geospatial Simulation and Sensor Fusion Tools in the Internet of Robotic Things

ISPRS International Journal of Geo-Information, Год журнала: 2023, Номер 12(2), С. 35 - 35

Опубликована: Янв. 21, 2023

The objective of this systematic review was to analyze the recently published literature on Internet Robotic Things (IoRT) and integrate insights it articulates big data management algorithms, deep learning-based object detection technologies, geospatial simulation sensor fusion tools. research problems were whether computer vision techniques, mining, simulation-based digital twins, real-time monitoring technology optimize remote sensing robots. Preferred Reporting Items for Systematic Reviews Meta-analysis (PRISMA) guidelines leveraged by a Shiny app obtain flow diagram comprising evidence-based collected managed (the search results screening procedures). Throughout January July 2022, quantitative ProQuest, Scopus, Web Science databases performed, with terms “Internet Things” + “big algorithms”, “deep technologies”, “geospatial tools”. As analyzed between 2017 only 379 sources fulfilled eligibility standards. A total 105, chiefly empirical, have been selected after removing full-text papers that out scope, did not sufficient details, or had limited rigor For quality evaluation so as attain sound outcomes correlations, we deployed AMSTAR (Assessing Methodological Quality Reviews), AXIS (Appraisal tool Cross-Sectional Studies), MMAT (Mixed Methods Appraisal Tool), ROBIS (to assess bias risk in reviews). Dimensions regards initial bibliometric mapping (data visualization) VOSviewer harnessed layout algorithms.

Язык: Английский

---

Machine Intelligence and Autonomous Robotic Technologies in the Corporate Context of SMEs: Deep Learning and Virtual Simulation Algorithms, Cyber-Physical Production Networks, and Industry 4.0-Based Manufacturing Systems

Applied Sciences, Год журнала: 2023, Номер 13(3), С. 1681 - 1681

Опубликована: Янв. 28, 2023

This study examines Industry 4.0-based technologies, focusing on the barriers to their implementation in European small- and medium-sized enterprises (SMEs). The purpose of this research was determine most significant obstacles that prevent SMEs from implementing smart manufacturing, as well identify important components such an operationalization evaluate whether only large businesses have access technological opportunities given financial complexities adoption. is premised notion that, setting cyber-physical production systems, gap between massive corporations may result disadvantages for latter, leading market exclusion by former. aim achieved secondary data analysis, where previously gathered were assessed analyzed. need investigate topic originates fact require more than corporations, which are typically focus mainstream debates. findings validated 4.0′s critical role process planning provided deep learning virtual simulation algorithms, especially industrial production. also discussed connection options a means enhancing business efficiency through machine intelligence autonomous robotic technologies. interaction 4.0 economic management organizations viewed possible source added value.

Язык: Английский

---

Digital twin simulation modeling, artificial intelligence-based Internet of Manufacturing Things systems, and virtual machine and cognitive computing algorithms in the Industry 4.0-based Slovak labor market

Oeconomia Copernicana, Год журнала: 2024, Номер 15(1), С. 95 - 143

Опубликована: Фев. 21, 2024

Research background: On the basis of an analysis current situation and expectations in field implementation elements Industry 4.0 concept, purpose this paper is to identify effects on labor market large manufacturing enterprises Slovak Republic. Purpose article: The presented work has a theoretical-empirical nature consists theoretical section practical section, which includes statistical indicator quantitative research. In discusses issue general, with focus its impact market, thus laying groundwork for future research subject. Methods: output selected indicators industry sector Republic, based most recent employment data first stage survey second stage, respondents being companies operating whose primary objective determine status technologies production as well factors influencing situation, such digital twin simulation modeling, artificial intelligence-based Internet Manufacturing Things systems, virtual machine cognitive computing algorithms. Findings & value added: findings indicate that degree digitization adopted by businesses Republic comparatively less robust more sluggish adapt. This primarily attributable underdeveloped educational system, population reluctance, self-actualization, inadequate state support. Recommendations aim increase proficiency general populace through various means, reforming legislation, enhancing support entrepreneurs, modifying education constituting added work.

Язык: Английский

---

Industry 4.0 Wireless Networks and Cyber-Physical Smart Manufacturing Systems as Accelerators of Value-Added Growth in Slovak Exports

Mathematics, Год журнала: 2022, Номер 10(14), С. 2452 - 2452

Опубликована: Июль 14, 2022

Industry 4.0 integrates smart and connected production systems that are pivotal in predicting supporting real-time, leading to sustainable organizational performance. In manufacturing, it may increase productivity, sustainability, energy efficiency, while optimizing competitiveness. The main purpose of this paper is determine the impact on Slovak economy through a secondary data analysis automotive industry, which sector country. aims provide comprehensive various opportunities available value-added growth car exports Slovakia. It also explores case study PSA Group Slovakia, highlights importance concept boosting country’s export growth. proposes series recommendations steps improve Slovakia’s innovation environment.

Язык: Английский

---

Remote Big Data Management Tools, Sensing and Computing Technologies, and Visual Perception and Environment Mapping Algorithms in the Internet of Robotic Things

Electronics, Год журнала: 2022, Номер 12(1), С. 22 - 22

Опубликована: Дек. 21, 2022

The purpose of our systematic review was to inspect the recently published research on Internet Robotic Things (IoRT) and harmonize assimilations it articulates remote big data management tools, sensing computing technologies, visual perception environment mapping algorithms. problems were whether robotic manufacturing processes industrial wireless sensor networks shape IoRT lead improved product quality by use devices communicate autonomously regarding event modeling forecasting leveraging machine learning clustering algorithms, image processing smart connected objects, situational awareness edge technologies configure systems cloud robotics in relation distributed task coordination through A Shiny app harnessed for Preferred Reporting Items Systematic Reviews Meta-analysis (PRISMA) guidelines flow diagram integrating evidence-based gathered processed (the search outcomes screening procedures). quantitative literature ProQuest, Scopus, Web Science databases carried out throughout June October 2022, with terms including “Internet Things” + “remote tools”, “sensing technologies”, “visual algorithms”. Artificial intelligence intelligent workflows AMSTAR (Assessing Methodological Quality Reviews), Dedoose, DistillerSR, SRDR (Systematic Review Data Repository) have been deployed as extraction tools collection, screening, evaluation, document monitoring, inspecting qualitative mixed methods research, establishing robust correlations. For bibliometric visualization, Dimensions AI leveraged regards layout VOSviewer harnessed.

Язык: Английский

---

Computer Vision Algorithms, Remote Sensing Data Fusion Techniques, and Mapping and Navigation Tools in the Industry 4.0-Based Slovak Automotive Sector

Mathematics, Год журнала: 2022, Номер 10(19), С. 3543 - 3543

Опубликована: Сен. 28, 2022

The objectives of this paper, and the novelty brought to topic Industry 4.0 manufacturing systems, are related integration computer vision algorithms, remote sensing data fusion techniques, mapping navigation tools in Slovak automotive sector. We conducted a thorough examination 4.0-based value supply chains, clarifying how cyber-physical production systems operate relation collision avoidance technologies, environment mobility simulation network connectivity through vehicle data. Citroen C3 Peugeot 208 automobiles two examples high-tech products whose worldwide chain development trends were examined study by determining countries their contributions production. fundamental components research—statistical analysis visual analysis—were utilized conjunction with variety syntheses, comparisons, analytical methodologies. A case was developed using PSA Group SVK graphical revealed that Slovakia offers second-highest added chosen items, but it also highlighted country’s slow-growing research (R&D) infrastructure, which could lead subsequent loss investment business as usual. can generate better export optimizing

Язык: Английский

---

Customer retention through service quality and satisfaction: using hybrid SEM-neural network analysis approach

Heliyon, Год журнала: 2022, Номер 8(9), С. e10570 - e10570

Опубликована: Сен. 1, 2022

Mobile commerce is a developing phenomenon, youth worldwide utilising the platform that provides flexibility, ease, and convenience of online shopping through mobile devices. The study investigates influence service quality dimensions on perception customer satisfaction. Satisfaction in promotes revisit intention among customer. model was designed SERVQUAL, factors were adopted from information system dimensions. hypotheses tested with Jordanian adults, data collected survey January 2020 to April 2020. analysed using variance-based statistical analysis tool Smart Partial Least Squares 3.2. non-compensatory analytical technique artificial neural network employed assess models. Resultantly, responsiveness cognitive control significantly related overall quality. dimension content usefulness adequacy Furthermore, influenced satisfaction, promoting towards commerce. Multilayer applied. result conclusively showed website innovativeness, usefulness, ease use three substantial platforms impacted e-business management should state-of-the-art technology features enhance develop payment security nurture trust users. Future research opportunities limitations reported at end.

Язык: Английский

---