Appliance Market Research Articles

Construction of Ensemble Learning Model for Home Appliance Demand Forecasting

Given the increasing competition among household appliance enterprises, accurately predicting household appliance demand is crucial for enterprise supply chain management and marketing. This paper proposes a combined model integrating deep learning and ensemble learning—LSTM-RF-XGBoost—to assist enterprises in identifying customer demand, thereby addressing the complexity and uncertainty of the household appliance market demand. In this study, Long Short-Term Memory Network (LSTM), Random Forest (RF), and Extreme Gradient Boosting (XGBoost) models are established separately. Then, the three individual algorithms are used as the base models in the first layer, with the multiple linear regression (MLR) algorithm serving as the meta-model in the second layer, merging the demand prediction model based on the hybrid model into the overall demand prediction model. This study demonstrates that the accuracy and stability of demand prediction using the LSTM–RF–XGBoost model significantly outperform traditional single models, highlighting the significant advantages of using a combined model. This research offers practical and innovative solutions for enterprises seeking rational resource allocation through demand prediction.

Reflections on Using a Diary App to Conduct a Diary Study to Assess Emergent Technologies in Private Households

Voice assistants, such as Alexa, are sold in the three-digit million range every year. They are seen as plug-and-playsolutions to make everyday life easier and more convenient. However, most emerging technologies are used, analyzed,and optimized in a business environment. Even though the sales market for household appliances is growing every year.In this research project, the use of voice assistants in private households were investigated regarding the possible adjustmentof daily routines. The study was conducted by using a diary app. This paper describes the selection of the diary appused and reflects on its use from the perspective of the researchers and project participants. The selection criteria includethe human-app interface, the type of data collection, the researcher dashboard, the possible interaction between researchersand project participants, the language and automated transcription, the data security, the provided technical support,the corporate culture, the professional impression, and the costs, which are particularly important for a research project.Finally, the weaknesses in the selection of the diary app are outlined.

Deciphering Consumer-Based Brand Equity, Brand Preference, and Intentions in Algeria’s Home Appliance Market

Deciphering Consumer-Based Brand Equity, Brand Preference, and Intentions in Algeria’s Home Appliance Market

Easy Living Rental Appliances Website

Abstract— The rental market for home appliances has seen significant growth in recent years, driven by evolving consumer preferences and the rise of the sharing economy. Easy Living Rental Appliances is a prominent player in this market, offering a wide range of modern appliances on flexible rental plans. This research paper explores the design, functionality, and user experience of Easy Living Rental Appliances, analyzing its strengths and areas for improvement. By examining user feedback, market trends, and industry best practices, this paper provides insights into enhancing the platform’s usability, customer satisfaction, and overall performance. The rental market for home appliances has witnessed significant growth in recent years, driven by changing consumer preferences, technological advancements, and the rising demand for flexible and cost-effective solutions. EasyLivingRentals.com is an online platform designed to streamline the process of renting home appliances, offering a wide range of modern appliances on flexible rental plans. This research paper aims to analyze and enhance the user experience and efficiency of Easy Living Rental Appliances through various modules and features. Keywords – Easy Living Rental Appliances Platform, Affordable Tech, Price Comparison, Informed Decisions, User Empowerment, Digital Marketplace, Gadget Shopping, Tech Enthusiasts, Innovation, Consumer Electronics.

Closed-loop Supply Chain Model Analysis of Home Appliances based on Promotional Effort and Recycling Effort

Nowadays, a large number of home appliances have entered the node of renewal, if they can be properly disposed of and utilised, used home appliances can also be converted into renewable resources to achieve the economic cycle, and at the same time, green living and circular economy are increasingly accepted by the public. Recycling of used home appliances has both economic and social benefits. At the same time, promotional efforts invested in the market for home appliances have an obvious effect on increasing their market demand. Therefore, it is necessary to study the closed-loop supply chain of home appliances based on promotion and recycling efforts. In this paper, we use literature analysis, mathematical analysis and Stackelberg game analysis to construct a closed-loop supply chain model for home appliances based on promotional and recycling efforts after determining who is the promoter among manufacturers and retailers, and then compare and analyse the decisions and benefits of the supply chain members, taking into account their centralised and decentralised decision-making. The results of this paper show that: (1) when home appliance manufacturers, retailers and third-party recyclers of used home appliances make decentralised decisions, there is a double marginal effect, i.e., the supply chain members only consider their own benefits while ignoring the benefits of the supply chain as a whole, which results in the failure of this closed-loop supply chain system of home appliances to be coordinated. (2) When the retailer's promotional effort is greater, both the retail price and the retailer's profit are lower. (3) The greater the recycling effort of the third-party recycler of used home appliance products, the higher its recycling price, i.e., the consequent increase in recycling costs, leading to a decrease in its profit.

Willingness-to-Pay for Energy Efficiency: Evidence from the European Common Market

This paper explores the willingness-to-pay for energy efficiency by exploiting variation across products and countries within the EU market for household appliances. Based on scanner data at product-level, I use the hedonic method to estimate implicit prices for energy efficiency and derive implicit discount rates. The paper argues that the implicit price will be underestimated when energy consumption is not only a determinant of operating cost but also is positively associated with other features of a product. The empirical analysis confirms that estimates of the willingness-to-pay are higher when this effect is accounted for in the estimation. This is especially true of product types for which the heterogeneity of usage intensity is low. The results thus indicate that the energy efficiency gap is smaller than found in earlier studies.

A Study on Consumer Behavior on Consumer Electronics and Home Appliances of Panasonic Products at Panasonic Brand Store, Naga Appliances, Bengaluru

Consumer Electronics and Home Appliances have become integral parts of contemporary living, shaping the way we interact with our surroundings and enhancing the quality of our daily lives. With the advent of smart technologies and sustainability concerns, the consumer electronics and home appliance market are witnessing dynamic shifts in consumer preferences, making it imperative to explore the underlying consumer behavior patterns. This paper delves into the intricate dynamics of consumer behavior within the distinct retail environment of the Panasonic Brand Store located at Naga Appliances in Bengaluru, seeking to unravel the myriad factors that shape consumers' choices, preferences, and purchasing decisions. Through an exploration of demographics, lifestyle choices, cultural influences, and technological trends, this research endeavors to provide valuable insights into how store visitors perceive the Panasonic brand, assess product quality, evaluate pricing, and consider after-sales services. It aims to assess the influence of demographic factors on purchase intentions, understand consumers' choices between Panasonic and other brands, analyze buying behavior across consumer segments, compare purchasing patterns with other brands, and evaluate consumer satisfaction within different socioeconomic groups.

Reconceptualizing marketing: an assessment of the marketing system in an emerging economy

PurposeThe purpose of this paper is to explore and expand the concept of a marketing system for developing a more dynamic and nuanced understanding of marketing. The purpose of the proposed framework is to extend this literature by making salient and explicit how context, market system and value creation are theoretically interrelated. To accomplish this objective, the authors use the framework proposed by Layton (2019) as the theoretical foundation to acquire insights into the market. Particularly, they investigate how four distinct marketing systems (i.e. anarchy, structured, emergent and purposeful market systems) operate in a developing economy. In addition, the study explores the market's effects of technological advancement, sociocultural influences, historical background and political institutions, as well as the responses of political entities, firms and consumers. Also, the positive and negative effects of the various marketing systems are analyzed. Finally, the authors investigate the changing marketplace in various industrial sectors (e.g. home appliances, food, apparel/fashion and transportation) to provide marketing researchers and practitioners with insights. In essence, the study focuses on the sectors related to everyday consumption.Design/methodology/approachThis analysis uses a theoretical approach to extend the understanding concept of marketing. To examine the numerous market systems in India, the authors use an approach developed by Layton (2007). This theoretical approach is intended to sensitize scholars to critical processes rather than a hypothetico-deductive analysis with a prediction goal (Turner, 1986). Epistemologically, this analysis can be classified as a form of discovery-oriented theory development (Wells, 1993).FindingsAlthough all four systems (e.g. autarchic, emergent, purposeful and structured) are ingrained in India, their functionality differs from the Western system and among industries. For example, the apparel sector appears more autarchic, but the food industry is more purposeful. How the home appliance market operates demonstrates the transition from an autarchic to an emergent system. The authors also uncover additional environmental factors that impact the four types of marketing systems and moderator roles of governate agencies and nonprofit organizations. The externality and positive outcomes also emerged throughout the analysis.Research limitations/implicationsThis study articulates the four types of marketing systems and illustrates the environmental factors/antecedents and outcomes for the exchange and value creation. Most importantly, it adds value to the literature by emphasizing the role of government agencies and unrestricted institutions in the mechanism. It also uncovers cultural elements such as spirituality as a catalyst for exchange and value creation.Practical implicationsThe analysis provides practitioners with insights into operating the firm in India by articulating the industrial differentiations and the exchange/value creation. Specifically, it provides a blueprint for strategic analysis that can be used prior to market entry to increase the likelihood of market entry success by understanding the nuanced differences that lead to significant operational difficulties if not properly prepared for and managed.Originality/valueThis study adds to our existing knowledge of marketing from a systemic standpoint. It also broadens and explicates marketing system theory by assessing the uniqueness of developing markets.

How supplier concentration impacts a buyer firm's R&D intensity: testing a mediation and moderation model

PurposeThe purpose of this paper is to investigate how supplier concentration influences a buyer firm's R&D intensity. This study proposes a mediation and moderation model to test this relationship in the Chinese household appliance industry. Specifically, this study tests the mediation effect of operational slack on the relationship between supplier concentration and R&D intensity and the moderation effect of financial constraints on this relationship.Design/methodology/approachDrawing upon real options theory and resource dependence theory, the proposed relationships are tested with the Chinese household appliance market using financial data from listed companies over a ten-year span from 2012 to 2021. Fixed effects (within-group) panel regression models are used to test the hypotheses. In addition, the authors use the bias-corrected bootstrap method to test the mediation effect.FindingsThe authors find that supplier concentration negatively affects a buyer firm's R&D intensity and that internal operational slack mediates this relationship. Interestingly, financial constraints from the external financing organization weaken the negative relationship between the buyer firm's supplier concentration and R&D intensity.Originality/valueBased on the argument of real options theory and resource dependence theory, this study provides novel insights into the issue of how concentration on several major suppliers may reduce buyer firms' R&D intensity. First, this study introduces operational slack as a form of internal uncertainty that mediates the supplier concentration–R&D intensity relationship. Second, this study suggests that the effect of supplier concentration on R&D intensity is contingent upon firms' financial constraints from external financial organizations, disclosing a synergetic interactive effect of supplier concentration and financial constraints on firms' R&D activities. Third, this study is conducted in the unique institutional context of China, providing meaningful insights into the relationship between supplier concentration and R&D intensity.

Purchasing power: Examining customer profiles and patterns for decentralized electricity systems in East Africa

Off-grid electricity systems have burgeoned across Africa recently, extending electricity access to rural communities. With the accelerated adoption of mini-grids and solar home systems, it is becoming increasingly important to understand how their customer bases consume and spend on electricity. Using a novel data set of hourly electricity consumption and electricity expenditures of about 13,000 solar home system customers in Kenya in 2018 and 2,000 mini-grid customers in Tanzania in 2017, we present a relative examination of the electricity consumption behavior and spending patterns among mini-grid and solar home system customers. Our analysis shows that, on average, mini-grid customers spend substantially less on electricity than solar home system customers and make smaller, more frequent payments during the month. We also find that higher monthly spending among mini-grid customers correlates with off-peak consumption and a higher load factor, contrary to the behavior of solar home system customers. Our results suggest the need for policies that encourage the growth of productive uses of energy that are innovative, diverse, and daytime-oriented to ensure sustainable mini-grid operation, as well as policies that establish a larger market for solar home system-compatible electric appliances that incentivize solar home system customers to increase utilization of their systems.

Efficiency of Emission Reduction Technologies for Residential Biomass Combustion Appliances: Electrostatic Precipitator and Catalyst

Residential biomass combustion has been pointed out as one of the largest sources of atmospheric pollutants. Rising awareness of the environmental effects of residential biomass combustion emissions boosted the development of different emission reduction devices that are currently available on the market for small-scale appliances. However, detailed studies on the efficiency of these devices in different combustion systems available in Southern European countries are lacking. In this study, two pollution control devices (catalytic converter and electrostatic precipitator) were tested in two different combustion systems (batch mode operated woodstove and automatically fed pellet stove) in order to assess the emission reduction potential of the devices. Pine firewood was used to fuel the woodstove. One commercial brand of pellets and an agricultural fuel (olive pit) were taken for the experiments in the pellet stove. While the efficiency of the electrostatic precipitator in reducing PM10 was only recorded for woodstove emissions (29%), the effect of the catalyst in decreasing gaseous emissions was only visible when applied to the pellet stove flue gas. For wood pellet combustion, reductions of CO and TOC emissions were in the range of 60–62% and 74–77%, respectively. For olive pit combustion, a lower decrease of 59–60% and 64% in CO and TOC emissions, respectively, was recorded.

AI-enables product purchase on Amazon: what are the consumers saying?

PurposeThis study aims to identify the product attributes that influence customer satisfaction related to AI-enabled products with a strong forecast of growth. This study is very timely as the market for AI-based smart home products is still at a nascent stage in emerging economies (Vaishali Dar, 2021). Adding evidence to literature on the experience of customers, identifying the attributes that lead to customer satisfaction and those that lead to dissatisfaction are essential for products that were launched recently during the pandemic. This study makes valuable addition to the existing literature.Design/methodology/approachOnline reviews (12,326 reviews) for EchoDot products launched by Amazon India during the pandemic were collected for the study. The attributes were identified based on the most frequently discussed attributes in the text reviews. Further review valence was determined to group the reviews under positive reviews indicating customer satisfaction and negative reviews indicating customer dissatisfaction. Logistic regression was used to identify the attributes that significantly impact customer satisfaction/dissatisfaction.FindingsThe results of the study indicate that while EchoDot is seen to add value to the smart home environment (home variable), video (video variable) and speaker (speaker variable) quality also contribute to customer satisfaction. Further, consumers found the product truly worth their money (value for money variable). Other attributes like a complaint about Bluetooth features are seen to increase the probability of customer dissatisfaction.Originality/valueThis study identifies the most important attributes that influence customer satisfaction in AI-enabled product sales on e-commerce platforms in pandemic times for India. Such studies are scarce in the emerging markets where the AI-based home appliance market is still in its nascent stage, and the customers are trying out their experiences with these products. What the customers expect and are these products fulfill these expectations is an important question that needs to be addressed by research. This study addresses this gap and adds to this literature.

Heterogeneous (Mis)Perceptions of Energy Costs: Implications for Measurement and Policy Design

Quantifying heterogeneity in consumers’ misperceptions of product costs is crucial for policy design. We illustrate this point in the energy context and the design of Pigouvian policies. We estimate non-parametric distributions of perceptions of energy costs in the U.S. appliance market using a revealed preference approach. We show that the average degree of misperception is misleading— while the largest share of consumers correctly perceives energy costs, a significant share undervalues them, and smaller shares either significantly overvalues or completely ignores them. We show that setting a tax based on mean misperception deviates substantially from the optimal tax that accounts for heterogeneous misperceptions. While correctly characterizing misperception is crucial for setting optimal Pigouvian taxes for externalities, it is less important for setting optimal standards. We find that standards can largely outperform taxes. Standards’ advantage is they reduce variance in energy operating costs relative to taxes, which internalizes distortionary effects from misperceptions.

Does Confucian Culture Promote Innovation? An Empirical Investigation of a Leading Organization in the Field

Based on their growing innovation capabilities, Chinese companies have become important players in the global innovation arena. Among the factors influencing these firms’ innovation, cultural values have increasingly attracted scholars’ attention. However, research on the relationship between one of the key elements of traditional Chinese culture, Confucianism, and innovation remains scarce. By focusing on two core elements of Confucianism, we extend the innovation contingency literature in examining whether Confucianism is associated with management and product innovation at the firm level in China. Through an empirical examination of a highly innovative private company in China’s premium kitchen appliance market, we find that Confucianism, as reflected in innovative management practices, can foster product innovation. Specifically, benevolence as a Confucian virtue can trigger innovation by forcing a user-centred focus and widening managers’ perspectives of stakeholder interests. Another Confucian principle, the Doctrine of the Mean, can also boost innovation by yielding harmony with surrounding elements, such as users, space, and nature, and defining the employee-management relationship.

Structural Changes in the Indian Home Appliance Market and Reconsideration of Korean Manufacturer’s Localization Strategy: A Case Study of LGEIL

Structural Changes in the Indian Home Appliance Market and Reconsideration of Korean Manufacturer’s Localization Strategy: A Case Study of LGEIL

네트워크 확장성이 제품품질 및 고객화에 미치는 영향에 관한 연구

As for the biggest change in the home appliance market in recent years, in terms of the reflection of the users’ needs continuously, the products in which a product and a service are integrated are released, and for this, the products in which network expandability is integrated come into being in home appliances. In addition, the products in which the network is integrated are utilized as essential elements of smart home, and through this, the providers make efforts to develop more customer-oriented products and services. Moreover, as for research on Product-Service integration System(PSS), many studies have been conducted, which analyzed specific examples, starting from the conceptual model of Product-Service integration by various researchers since the beginning of 2000s. Thus, this study constructed a Research Model that connects to the users’ recognition of the product quality, customization, customer satisfaction and repurchase intention based on network expandability, the biggest factor of change in Digital Home Appliances in order to build up a product-service model based on the users’ product usability. In addition, based on the results of the analysis, a product-service classification model was presented. As for analysis samples, a survey was conducted on 12 products with 1,773 users who purchased home appliances in the past three years. Based on the analysis results, the implications of this study are that the network expandibility of home appliances is strengthening users

Особенности мирового рынка бытовой техники

This article analyzes the world market for household appliances. Its main tendencies, features of development are considered, factors influencing its development are considered. The study determined that different regions of the world have their own characteristics and reasons for the growth of the household appliances market. For example, North America is a developed market with high product penetration, with great emphasis on product advertising. In Europe, low interest rates on loans and a good economic situation play an important role. The European market is seeing an increase in demand for premium products. The Asia-Pacific home appliance market is expected to show strong growth, driven by rising household incomes, rapid urbanization, a growing middle class, easy access to goods through the development of retail channels, easy access to consumer finance and lifestyle changes.

Are consumers attentive to local energy costs? Evidence from the appliance market

We estimate whether consumers respond to local energy costs when purchasing appliances. Using a dataset from an appliance retailer, we compare demand responsiveness to a measure of energy costs that varies with local energy prices versus purchase prices. We cannot reject that consumers respond to lifetime energy costs in the same way they respond to purchase prices under a wide range of assumptions. These findings run counter to the popular wisdom, which motivates energy standards, that energy costs are systematically undervalued due to various behavioral phenomena. They imply that electricity pricing that deviates from social marginal costs, due to failure to incorporate pollution externalities or due to other features in rate design, can have substantial distortionary effects on demand.

Does energy efficiency affect appliance prices? Empirical analysis of air conditioners in China based on propensity score matching

With continuous increases in global eenergy consumption, environmental problems are becoming more prominent. Encouraging consumers to purchase and use energy-saving appliances can effectively reduce energy consumption. Do consumers have a different willingness to pay (WTP) or different preferences for appliance attributes when making purchasing decisions? Energy-efficiency labels provide consumers with energy-consumption information. Do such labels have an effect on appliance prices? To answer these questions, this study used the hedonic price model (HPM) to explore consumers' WTP for various attributes of air conditioners (ACs). Sales data for 1459 ACs were obtained from a major e-commerce platform in China. The results indicated that platform attributes had no significant effect on price. While the premium of energy-efficiency labeling was 12.4%, brands had a high premium—up to 59.4%. Meanwhile, propensity score matching (PSM) was used to explore the premiums of energy-efficiency labeling; PSM can solve the problem of selection bias and has advantages over traditional HPM. The results showed that there was a 19.4% premium between energy-efficiency level 1 and level 2 and a 21.5% premium between levels 1 and 3. Based on the results, management suggestions are made to further promote the development of the household appliance market and energy-efficiency labeling.

ENERGY STAR Appliance Market Shares: Do They Respond to Electricity Prices, and Does It Matter?

We address an apparent paradox that the market shares of four ENERGY STAR appliances in the United States do not respond to within-state changes in electricity prices. We resolve the paradox by showing that market shares do respond to between-state variation in electricity prices. We also suggest an economic explanation for the paradox through the timing of appliance purchases. Using the estimation results, we find that the four ENERGY STAR appliances reduce carbon emissions by 1.9 million megawatt-hours per year, equivalent to removing 0.1% of all U.S. vehicles, and that the addition of a $100/ton CO2 price would increase these figures to 2.1 million megawatt-hours and 0.11%.