Smart Consumer Research Articles

Application of Fuzzy - AHP - Topsis Model Integration to Select Green C2C Websites in Online Shopping

In today's digital age, online shopping has become an indispensable part of daily life. The strong development of e-commerce platforms helps consumers easily search and choose products from around the world with just a few clicks. Making purchasing decisions is not simple when buyers have to consider many factors such as price, quality, brand and many other factors. To support smart consumers in shopping, the study applied the Fuzzy - AHP - Topsis integrated model to evaluate purchasing criteria on 4 popular C2C websites: Shopee, Tiki, Lazada and Sendo.

Smart Consumer Purchasing Decisions: The Moderating Role of Lifestyle

This research aims to analyze the influence of price on the purchase decision of Samsung smartphones with lifestyle as a moderating variable in Faculty of Economics and Business Undana Kupang students. This study uses a quantitative approach with a sample of 95 people. Data were collected using questionnaires and analyzed using simple linear regression and MRA tests with the help of IBM 29 SPSS. The results of this study show that price has a positive effect on purchase decisions, meaning that higher prices are considered indicators of product value or superiority, thus encouraging consumers to make purchases., in addition, lifestyle weakens the relationship between price and purchase decisions, meaning that the influence of price on purchase decisions becomes less significant because of consumer lifestyles. In this context, even if the price of a product or service is higher or lower, consumers' purchasing decisions are influenced more by their lifestyle than by the price itself. Smart consumers tend to price as their lifestyle improves. Smart customer signals a significant shift in the way people think about purchasing. They are beginning to realize that price does not always reflect the true value of a product. In many cases, savvy consumers are willing to pay more for higher quality, appeal, or ethical values

Decoding consumer resistance to near-expired products: The role of social stereotyping

Why are consumers reluctant to purchase near-expired products despite the commonly tempting price deals associated with them? Whereas prior literature attributes this phenomenon to various product-related factors (e.g., freshness or quality concerns), we propose that it may also partially stem from consumers’ concern of being stereotyped as stingy; that is, people tend to stereotype the purchasers of near-expired products as stingy, which may in turn motivate consumers to resist these products to maintain their social evaluation. Seven studies—including an IAT (Implicit Association Test) experiment, a field experiment, lab and online experiments—offer converging evidence for the proposed effect. The authors also validate the proposed underlying process by showing that the effect is magnified when price discounts are applied to near-expired products and attenuates when purchases are made privately or when purchasers are imbued with socially desirable characteristics such as being proenvironmental and smart consumers. The authors conclude by highlighting insights for emerging ESG (Environmental, Social, and Governance) marketing and retailing practices.

Quality of Electrocardiography Recorded with Consumer Smart Shirts.

Smart wearables support continuous monitoring of vital signs for early detection of deteriorating health. However, the devices and sensors require sufficient quality to produce meaningful signals, in particular, if data is acquired in motion. In this study, we equipped 48 subjects with smart shirts recording one-lead electrocardiography (ECG), thoracic and abdominal respiratory inductance plethysmography, and three-axis acceleration. For 10 min each, the subjects sit, stand, walk, and run, with a resting period of 5 min in between each activity. We preprocessed the electrocardiogram and applied a signal quality index. We analyzed the signal quality index grouped by the activity and participants. For sitting, standing, walking, and running, the ECG signals provide acceptable quality over 73.20 %, 91.85 %, 12.26 %, and 13.14 % of the recording time. In conclusion, smart wearables may be useful for continuous health monitoring of people with a sedentary lifestyle, but rather not for sportive activities.

DISMANTLING THE MULTI-LEVEL MARKETING SCHEME OF HERBAL MEDICINES: BETWEEN CONVENTIONAL REGULATIONS AND SHARIA PRINCIPLES

The practice of Multi-Level Marketing (MLM) of herbal medicines is increasingly rife in Indonesia and there is the potential for fraud that often occurs in this practice. This study aims to dismantle the MLM scheme of herbal medicine from the point of view of conventional regulation and sharia principles. The methodology used includes literature study, legal analysis, and interviews with experts. The results revealed that there is an herbal medicine MLM scheme that violates conventional regulations and sharia principles. The conclusion of this study is the importance of strict supervision of herbal medicine MLM and the need to educate the public about legal and sharia MLM schemes. The practice of Multi-Level Marketing (MLM) of herbal medicines is increasingly widespread in Indonesia. MLM herbal medicine is a marketing system where members get a commission from selling products and recruiting new members. This shows the need for research to dismantle herbal medicine MLM schemes and uncover potential frauds that occur. In addition, there are also sales of illegal products that do not have official permission from the Food and Drug Supervisory Agency (BPOM). Pyramid schemes are also one of the findings of this study, where many herbal medicine MLM players jointly profit by recruiting new members without making substantial product sales. These findings point to the need for close supervision of herbal medicine MLM practices to protect consumers and prevent potential violations of sharia laws and principles. After conducting this research, it can be concluded that herbal medicine MLM needs to get close supervision. Research findings show violations of conventional regulations and sharia principles in herbal medicine MLM practices. Therefore, it is necessary to educate the public about legal and sharia MLM schemes so that they can understand the rights and obligations as smart consumers. In addition, there is also a need for increased regulations to monitor the practice of herbal medicine MLM in order to protect consumers and maintain the integrity of the MLM business in Indonesia.

Special Issue on: “Understanding Smart Consumers—Shifting Paradigms in Marketing”

<b>Special Issue on:</b> “Understanding Smart Consumers—Shifting Paradigms in Marketing”

TPS 3R Management Development Model: Social Learning, Collaboration and Partnership, Zero Waste Lifestyle for a Sustainable Future

The implementation of PKM as a critical concern related to the classic problem of waste disposal. The text of this article is a synthesis of reports from two community service (PKM) implementations carried out continuously in two academic periods, regarding the issue of developing TPS 3R management and the dominance of household waste composition. The results of the implementation of the first edition of PKM and the second edition of PKM based on social learning, coolaboration and partnership consistently lead to a zero waste lifestyle in the future in a sustainable manner. Small surveys, conservation and socialization are part of the methodological aspects of both PKM implementation, social learning, environment, dynamic interaction and community learning methods are adopted, future expectations of the results of the implementation are both synthesized. To improve sustainable waste management, the TPS3R management development model is based on social learning through collaboration and partnership minimization towards zero waste by involving four actors (quadruple helix) who consider social and environmental elements in an innovative collaboration framework, relevant to be adopted, implemented and developed, towards a zero waste lifestyle in a sustainable future. The aspects needed to achieve the success of this process emphasize several keyword aspects, including socialization, culture, awareness, consumtion pattern (smart consumer), wise lifestyle, mindset, social learning, adaptive &amp; innovative, immitation &amp;; evaluative models, consistency.

The impact of consumer preferences on the evolution of competition in China's automobile market under the Dual Credit Policy-A density game based perspective.

The evolution of the automobile market is a macro-expression of the behavior of automakers' production decisions. This study examines the competitive environment between new energy vehicles (NEVs) and conventional fuel vehicles (CFVs) and develops a game-theoretical model incorporating consumer utility, automaker profit, and the competitive density of NEVs and CFVs. It aims to assess how consumers' preferences for vehicle range and smart features influence automakers' strategic decisions and the broader market evolution under the Dual Credit Policy. The findings indicate: (1) A low NEV credit price facilitates NEV market size growth, but this growth rate diminishes beyond a certain price threshold; (2) The lower the consumer's range preference, the higher NEV credit price can accelerate the development of new energy vehicles to their saturation value. However, when consumers in the market prioritize smart features, increasing the NEV credit price does not significantly influence the growth of NEV market size. (3) Higher consumer preferences for both range and smart features, combined with increased NEV credit prices, can synergistically accelerate the speed of the NEV market to reach the saturation value and also raise the saturation value of the scale of NEVs. And higher consumer range preference combined with increased NEV credit prices has a more significant effect on the promotion of NEV market size than the combined effect of higher consumer smart preference and increased NEV credit prices. The actual data of China's automobile market is used in the simulation of this model. The model and its simulation results effectively explain and reveal the evolutionary impacts of consumers' range and smart feature preference on the promotion of China's NEVs under the Dual Credit Policy to provide effective technological and theoretical support for the promotion of the sustainable development of China's NEV industry.

Human–Material Interaction Enabled by Fused Filament Fabrication 4D Printing

In this review, 4D printing (4DP) is delved into through fused filament fabrication (FFF) and its implications for human–material interaction (HMI). FFF 4DP's emergence in HMI represents a nascent and evolving concept worthy of deeper exploration. In this article, FFF 4DP's fundamental principles, methodologies, materials, and associated benefits and challenges are introduced. Herein, the primary focus is the intersection between FFF 4DP and HMI, investigating the potential of employing FFF 4D‐printed objects as interactive interfaces. Various HMI scenarios are examined, including applications in soft actuators, smart toys, household devices, smart consumer products, 4D textiles, and customizable wood‐based items. Moreover, in this article, the current state of the art and development in the field are discussed, highlighting notable projects that integrate FFF 4DP into HMI to advance environmental sustainability. Also, key challenges/limitations requiring attention for the widespread adoption of 4DP in HMI applications are identified. In this work, an in‐depth analysis of FFF 4DP within the HMI context is offered, underscoring its potential to transform human interactions with machines and smart devices. Innovative features for dynamic and adaptable interfaces are introduced, promising to revolutionize user experiences. The article serves as a valuable resource for researchers, practitioners, and designers interested in exploring the exciting possibilities of FFF 4DP in the realm of HMI.

ReLAC: Revocable and Lightweight Access Control With Blockchain for Smart Consumer Electronics

The increasing popularity of consumer smart devices has led to concerns about the security of electronic data. Blockchains, which are tamper-proof, can be used to store electronic data securely, preserving the privacy of individuals and devices. However, most of the consumer smart devices are resource-constrained, so the computational overhead of blockchain based schemes should not be ignored. Furthermore, the dynamic change of consumer smart devices in real-world scenarios is also an open issue. In this paper, a revocable and lightweight access control scheme (ReLAC) is proposed to realize deduplication and dynamic user revocation for smart consumer electronics/devices using blockchain. To protect the privacy of consumers and devices in the access matrix, the partially hidden policy is adopted in the proposed scheme. Note that, no detailed attribute values of the consumers or the devices are included in the ciphertext transmission. Finally, outsourced decryption is applied to solve the resource-constrained problem of smart consumer electronics/devices. The proposed scheme is proved to be s-IND-CPA secure in the standard model if there exists no one can crackle the decisional q-BDHE assumption. The performance analysis and experiments demonstrate that the proposed scheme is secure and computational efficiency for the application in consumer electronic systems.

Long-Term Energy Management Empowered Hierarchical Federated Learning for Smart Consumer Electronics

Long-Term Energy Management Empowered Hierarchical Federated Learning for Smart Consumer Electronics

Guest Editorial Special Section on Security, Privacy and Trust for Consumer Smart Devices

Guest Editorial Special Section on Security, Privacy and Trust for Consumer Smart Devices

Allocation of power losses and energy in the distribution network

The goal is to determine methods for calculating power losses in a three-phase four-wire low voltage distribution network using measurements of a balance smart meter and consumer smart meters, and to establish the factors influencing the power losses and their allocation among individual network wires, loads, and consumers. The study involved examining three methods for determining power losses for current measurement snapshot. The first method suggests calculating losses as the difference between the power supplied to the network and the total power consumed. The second method calculates power losses using the contribution method. The third method, which in addition to measurement information requires knowledge of the topology and parameters of the network components, determines power losses based on the results of the state estimation method. The research proposes an algorithm for transition from a four-wire distribution network modeling to a three-wire one. The algorithm allocates power losses of the neutral wire among the phase wires. The findings indicate that the negative losses in the network with unbalanced phase loads are caused by the presence at the nodes of the least loaded phase of higher voltage than the voltage at the power supply node. The reason for higher losses in phases with minimal load is the uneven allocation of loads in the phases. In addition, the study reveals that the power loss values obtained by the contribution method, i.e. directly from the measurements of smart meters, are closer to the losses determined from the readings of the balance meter and consumer meters, compared to the losses found from the state estimation results. The considered methods for calculation and allocation of power losses are illustrated by an example of a real-world distribution network equipped with smart meters. The paper demonstrates the examples of allocating total power losses between phase wires and a neutral wire, among phase wires only, and between total loads at phase nodes and individual consumers in phases.

Review of Islamic Law on Halal Food Products in an Effort to Protect Consumers in Surakarta City

The development of food and beverages sold and bought and sold more and more in the current era. This makes consumers free to choose whatever food they like, but as smart consumers must be careful and careful in consuming the goods consumed. Halal labeling is an important item in products that become the main preference for consumers, especially for Muslim consumers to purchase products even though sometimes only limited to the intention to buy. One of the largest Muslim consumers is in Surakarta City. A perspective review of Islamic law needs to be carried out to protect consumers against the products they consume. The urgency of this research makes it important for this research to be carried out so that consumers and producers understand each other correctly about the concept of labeling from the perspective of Islamic law and positive law. This study aims to determine the review of Islamic law on halal restaurant products, as well as determine the influence of halal labeling on purchasing decisions for public consumption products in Surakarta City.

Enhancing the sustainability of energy networks through the utilization of smart consumers

Dynamic or static stability of electrical networks is maintained not only by the internal energy of the system but also by the utilization of a hot power reserve. In networks that incorporate renewable energy sources, this reserve should be commensurate with the power capacity of the renewable energy sources. However, this leads to an increase in economic costs. Additionally, the integration of renewable energy sources results in a decrease in the dynamic stability of the system due to the unregulated changes in the supplied energy. The objective of this research is to analyze the potential impact of renewable energy sources on network stability and explore possibilities for enhancing stability through adaptive operation of smart consumers. Renewable energy generation is characterized by temporal and concentration uncertainties, which can potentially disrupt the operation of the energy system. The primary approach employed in this study involves analyzing the potential influence of various operational modes of smart consumers, both during load commutation and energy source switching. The main outcome of this work is the development of a smart consumer algorithm. The devised operating principle mitigates the effects of unstable renewable energy operation or uncertain consumer behavior.

A Federated Unlearning-Based Secure Management Scheme to Enable Automation in Smart Consumer Electronics Facilitated by Digital Twin

A Federated Unlearning-Based Secure Management Scheme to Enable Automation in Smart Consumer Electronics Facilitated by Digital Twin

A Novel Approach of Efficient Resource Allocation in Smart Consumer Electronics Device Network

A Novel Approach of Efficient Resource Allocation in Smart Consumer Electronics Device Network

Application of Sharia Economic Principles of Qardh Agreements to E-Commerce: Study of Shopee Paylater Transactions

The presence of the Shopee application with the paylater feature is proof of world development in the field of technology that can provide convenience for consumers in shopping from anywhere and anytime. The provision of limits in technical payments can certainly also make it easier for consumers when shopping when they don't have money, by using the predetermined limit. This research aims to discuss the synchronization of the qard contract in Islamic transactions with the OJK protection system for Shopee pay later, which is often a topic of discussion for usury transactions. The method used in this research is descriptive qualitative, which describes the results of the research using explanations in words in detail or detail so that readers can understand the discussion that the researcher will raise through online research to find theories and use them wisely. This research is directed and focused on discussing library materials in the form of journals. The results of this research explain that shopee paylater is called qardh or loan contract. Shopee paylater which stipulates fines for late payments shows usury. This shows that there is continuous usury when users are late in paying bills that are due. Therefore, as smart consumers, we must be careful when using the Shopee PayLater feature to avoid delays in payments and usury.

Scaling Digital Biomarker Discovery with the Cloud and Wearable Devices

AbstractBackgroundIn clinical trials and other disease research, biomarkers provide a valuable indication of drug performance and disease progression. Traditionally, these biomarkers may include genomic factors, lab test results, and more, but we now can easily expand into longitudinally collected digital biomarkers from consumer smart devices.MethodThe Amissa platform, built on the Microsoft Azure cloud, enables the collection of high frequency data from consumer smartwatches (such as the Apple Watch and Samsung Galaxy watch devices). The API‐driven cloud architecture enables secure sensor data collection including location, gyrometry/accelerometry, activity monitoring/pedometry, and biosensors such as oxygen saturation and heart rate. This solution allows for sub‐minute capture frequency while balancing device battery drain. The ISO 27001:2013‐compliant platform is globally scalable through an innovative cloud‐native design that ensures security and compliance.ResultCaregivers, researchers, and healthcare providers can now monitor loved ones/patients through consumer‐grade wearables, providing a cost‐effective, accurate, and flexible solution for biomarker discovery, data collection, and remote monitoring.ConclusionThe Amissa platform successfully enables digital biomarker development and helps to address disparities in clinical trials and research studies of underrepresented groups through decentralized data collection. Plus, the platform address security and privacy considerations while enables collaborative research participation and flexible study designs. Note: In this presentation, we will discuss the NIH‐funded work of Amissa and the cloud‐first approach taken to build the world’s first global‐scale platform for disease research using wearable devices. We will cover technical design patterns, considerations for privacy and security, the effect of decentralized data collection on addressing health disparities and inclusion in clinical trials, and the future of digital biomarker discovery in Alzheimer’s disease and related dementias.

Impact of embedded AI mobile smart speech recognition on consumer attitudes towards AI and purchase intention across Generations X and Y

PurposeThis study aims to examine the influence of the derived attributes of embedded artificial intelligence-mobile smart speech recognition (AI-MSSR) technology, namely perceived usefulness, perceived ease of use (PEOU) and perceived enjoyment (PE) on consumer purchase intention (PI) through the chain relationships of attitudes to AI and consumer smart experience, with the moderating effect of consumer innovativeness and Generation (Gen) X and Gen Y in fashion retail.Design/methodology/approachThe study employed a quantitative survey strategy, drawing a sample of 836 respondents from Sri Lanka and India representing Gen X and Gen Y. The data analysis was carried out using smart partial least squares structural equation modelling (PLS-SEM).FindingsThe findings show a positive relationship between the perceived attributes of MSSR and consumer PI via attitudes towards AI (AAI) and smart consumer experiences. In addition, consumer innovativeness and Generations X and Y have a moderating impact on the aforementioned relationship. The theoretical and managerial implications of the study are discussed with a note on the research limitations and further research directions.Practical implicationsTo multiply the effects of embedded AI-MSSR and consumer PI in fashion retail marketing, managers can develop strategies that strengthen the links between awareness, knowledge of the derived attributes of embedded AI-MSSR and PI by encouraging innovative consumers, especially Gen Y consumers, to engage with embedded AI-MSSR.Originality/valueThis study advances the literature on embedded AI-MSSR and consumer PI in fashion retail marketing by providing an integrated view of the technology acceptance model (TAM), the diffusion of innovation (DOI) theory and the generational cohort perspective in predicting PI.