Home Appliance Industry Research Articles

Credit Risk Assessment of Supply Chain Financing with a Grey Correlation Model: An Empirical Study on China’s Home Appliance Industry

Supply chain finance (SCF) plays an increasingly important role in global enterprise competition. The credit risk accompanying SCF has attracted the attention of the government, enterprises, and academia. However, with the absence of data and inaccurate information, traditional risk assessment methods are frequently failed to assess the credit risk in SCF, especially for small- and medium-sized enterprises (SMEs). In this study, a grey correlation model is introduced and applied to the SCF risk assessment process for 15 firms in the Chinese home appliance industry with 15 performance indicators that represent profitability, solvency, operational capability, and development capability. The empirical study displays the operability and effectiveness of the grey correlation model, which is superior to traditional methods in the supply chain financial risk assessment.

Supervised Learning Based Peripheral Vision System for Immersive Visual Experiences for Extended Display

Video display content can be extended to the walls of the living room around the TV using projection. The problem of providing appropriate projection content is hard for the computer and we solve this problem with deep neural network. We propose the peripheral vision system that provides the immersive visual experiences to the user by extending the video content using deep learning and projecting that content around the TV screen. The user may manually create the appropriate content for the existing TV screen, but it is too expensive to create it. The PCE (Pixel context encoder) network considers the center of the video frame as input and the outside area as output to extend the content using supervised learning. The proposed system is expected to pave a new road to the home appliance industry, transforming the living room into the new immersive experience platform.

Prediction of Arrival Time of Vessels Considering Future Weather Conditions

International logistics is becoming increasingly active. Marine transportation, in particular, accounts for approximately 90% of the total volume managed in international logistics and plays a vital role in the supply chains of many companies. However, en route factors, such as weather conditions, often delay scheduled arrivals at destination ports, and an accurate prediction of the arrival time is required for supply chain efficiency. The arrival time has been predicted in previous studies by calculating the route to the destination port and the en route voyage speed without considering the influence of future weather conditions. Hence, the prediction accuracy may decrease when weather conditions change. In this study, we propose a prediction method that identifies the route from the voyage results of vessels whose weather condition is similar to the future one and uses Bayesian learning to calculate the voyage speed in consideration of future weather conditions. Consequently, future changes in weather conditions are reflected in the prediction results. The prediction accuracy of the proposed method is projected to be 28% higher than that from previous studies based on historical operational data of vessels carrying home appliance and automobile industry cargoes.

Home Automation using RPi/Arduino

The telecom industry has seen exponential growth in terms of providing cheaper and more affordable smartphones, thanks to high-speed mobile network coverage such as 3G, 4G, and Long-Term Evolution. At the hands of the people, different services and applications are available. IoT has undertaken emerging technology with evolving automation and digitalization technologies. This project deals with IoT and how it can be used by Raspberry Pi/Arduino for the implementation of smart home automation. Since consumers are passionate about electronic goods such as cell phones, smart watches, smart lighting, and so forth, we believe that there is a huge demand for IoT-based products in India. The home appliance industry can be pioneered by IoT. By automating appliances and machines, power resource misuse can be minimised. This device consists of a smart phone along with a website with descriptions of the home appliances under ON and OFF conditions. We will focus on developing an IoT-integrated application/website that would allow us to monitor air-conditioner units by maintaining a fixed room temperature according to the consumer while adapting to atmospheric changes. Smart phones are connected to a Raspberry Pi/Arduino via Wi-Fi with the IP address of Raspberry Pi/Arduino. The Internet of Things (IoT) is among the most core strategies that can be used via an IP address to link, monitor and manage intelligent objects linked to the Internet. The user-friendly wireless application is handy along with its various applications and its performance is lifestyle changing.

Case Based Reasoning Approach for Market Basket Analysis on the Performance of Issuers in the Home Appliances Industry Sector

Case Based Reasoning Approach for Market Basket Analysis on the Performance of Issuers in the Home Appliances Industry Sector

Vibration measurement and analysis in carton clamp truck handling

The purpose of this study was to construct power spectral density (PSD) profiles to analyse carton clamp truck handling environments. It also aimed to investigate the effects of payload, travelling speed, and tyre type on vibration levels of the main body and attachment of the clamp truck. Three types of PSD profiles of carton clamp truck handling were constructed for three different test courses designed based on a case study in the home appliance industry, ASTM D6055 and ISTA 3B. Experimental results showed that the overall root mean square acceleration of the new test course designed based on the actual handling environment in the home appliance industry is between the data obtained from ASTM D6055 and ISTA 3B test courses. The vibration levels measured at both the main body and attachment of the clamp truck increased with travel speed, they also increased when payload decreased.

Pricing and coordination with contract for the green supply chain of Chinese home appliances industry with retailer's promotional efforts

This study focuses on the decision-making about the pricing issues for home appliances companies when recycling waste home appliances. We suppose three collection methods for the recycling of waste home appliances, i.e., manufacturer collection (Model M), retailer collection (Model R) and third-party collection (Model 3P). Considering the effect of retailer's promotional efforts and the effective recycle behaviour on the home appliances supply chain, game models are constructed respectively according to different collection methods. The optimal recycle prices for the waste home appliances and the optimal retailer's promotional efforts can be determined by these models. To improve the game effectiveness, revenue and expense-sharing contract models are designed in order that both the revenues and expenses related to the manufacturing, retailing, promotion and recycle operations in the green supply chain can be allocated among all participant players, thus the profits and effectiveness of the whole supply chain can be better improved. Lastly, all the pricing and contract models are successfully tested by using the green supply chain of Gree freon-free and inverter air-conditioner as a case.

Pricing and coordination with contract for the green supply chain of Chinese home appliances industry with retailer's promotional efforts

Pricing and coordination with contract for the green supply chain of Chinese home appliances industry with retailer's promotional efforts

Developing a scale for brand competitive positioning: a study in the home appliance industry

Purpose The purpose of this study is to identify the factors affecting brand competitive positioning (BCP) and its components in the home appliance industry and also to develop a scale for it, considering both the seller’s and the buyer’s side. Design/methodology/approach The factors were investigated both qualitatively and quantitatively. Data was collected from findings of previous research as well as interviews with experts in the industry. After conducting thematic analysis, the extracted factors were confirmed by experts. A total of 400 samples was used to test the BCP scale. Respondents were the customers of some selected home appliance brands. Findings The results of exploratory and confirmatory factor analyses indicated that seven main factors influenced BCP, including product quality, service quality, perceived price, sales and distribution, marketing communication, market orientation and reputation and background. Also, the five components of BCP are distinctiveness, desirability, credibility, value for money and top of the mind awareness. Originality/value Modelling a new scale on BCP is of considerable importance. Using mixed method, the current study presents a new scale named Brand Competitive Positioning Scale.

BRAND COMMUNICATION IN THE ONLINE ENVIRONMENT

The term "brand" is becoming more and more popular among consumers, due to their growing desire to buy a reliable product, which has created a history around it and whose reputation ensures guaranteed comfort, utility, and satisfaction. A brand emphasizes the social status and increases the image of a product on the market. In this paper, we will focus on the important brands in the online environment in the home appliance industry. In this respect, we conducted quantitative marketing research to understand the behavior of consumers and their predisposition to purchase appliances through online resources.

Impact Correlation with Accelerometer in Home Appliance Industry

Non-destructive testing in verification and validation (V&V) is playing a significant role now a days. Since validated simulation model provides more insight of product and gives real-time behavior without consuming the physical product for testing. Acceleration data is very valuable input for finding loopholes in the simulation models and optimizing the method of modeling. Once validated simulation model has been set up, multiple iterations can be run for solving material differences, geometrical changes, and variations in process tolerances which will ultimately reduce the build-fix-rebuild time. Simulation methodology helps to arrive at appropriate decision for the selection of optimized and safer design.

Coordination of R&D effort, pricing, and periodic review replenishment Decisions in a Green Supply Chain through a Delay in Payment Contract

This study contributes to the literature on supply chain coordination by coordinating the research and development (R&D) effort, retail price, and inventory decisions. It investigates a real case in the home appliance industry. The main purpose of this study is to examine the optimal values of R&D effort, pricing, and inventory decisions under decentralized and centralized structures. Then, a delay in payment contract is proposed under coordinated structure to simultaneously coordinate all decisions. Moreover, to share the extra profit obtained from the coordinated model between both parties, a profit allocation strategy is proposed. The findings reveal that the coordinated model not only enhances the green supply chain (GSC) profitability in comparison with the decentralized structure but also enhances the profits of all members. Further, the proposed contract improves the GSC performance from both environmental and economic viewpoints.

Enhancing Organizational Performance through Social Media use and Knowledge Management

Researchers acknowledge the importance of knowledge, innovation, social capital, and social media for organizations. Based on practical and academic importance of these variables, hypotheses were developed and relationships have been tested among knowledge management, innovation and performance for various contexts. Furthermore, hypotheses have also been drawn to test the relationships amongst knowledge management, social capital, and social media use. However, limited research examined relationships amongst all these constructs in the same research framework, and this research attempted to cover that gap. Thus, this research pays original contribution in the form of testing an extended model regarding the impact of social media use on companies’ performance involving the investigation of serial mediating effect of social capital, knowledge management, and innovation. Pakistan’s home appliance industry markets around 2500 electronic products and has 95% share domestically. Further, innovation and knowledge sharing are critical success factors for home appliance industry Therefore, this study was conducted for this industry and used survey method which resulted in 150 responses from the managers. The study finds that commercial social media’s use by companies impacts knowledge management through social capital; and a serial mediating impact of these constructs exists amongst social media use and organization performance. There are extremely limited studies for electronic companies in Pakistan given the concerned variables. Therefore they are helpful for the managers concerned as these findings suggest effective use of social media by electronic companies in particular to create better organizational knowledge and improve company performance.campaigns motivate citizens to pay for safe drinking water

Developing a Brand Avoidance Model in Pygmalion Cycle

In this research, a model has been identified and presented for multiple dimensions of brand avoidance in Iranian home appliance industry. For designing the model, the causative conditions of factors, which lead to brand avoidance in the home appliance industry, were considered along with the dominant platform underlying brand avoidance and weakening or reinforcing interventional conditions. The research methodology is grounded. 256 semi-structured interviews were conducted. The sampling method is purposeful and judgmental along with the snowball method. To identify the consequences of brand avoidance, three perspectives of society, customer and companies have been investigated. The results of the research indicate the experiential, identity, moral, deficit-value, marketing, attitude and cognitive dimensions of brand avoidance. The Pygmalion effect was used to avoid the brand. In this study, gender behaviours were identified as intervening conditions and the role of government as the dominant platform.

Assessing after-sales services quality: integrated SERVQUAL and fuzzy Kano's model

This study proposes an integrated approach to evaluate after-sales services performance. The research statistical population consisted of home appliance industry consumers who went to after-sales services centres. Firstly after-sales services quality attributes are defined by running focus group meetings. To verify the validity of the SERVQUAL dimensions on after-sales services quality, the confirmatory factor analysis is applied validity of the SERVQUAL dimensions. Strengths and weaknesses of after-sales services quality are identifies by using SERVQUAL, then fuzzy Kano model is used to categorise defined strengths and weaknesses. The results show that there are a negative difference between customers' perceptions and customer's expectations for all attributes. The highest gaps are related to visually appealing facilities and reasonable servicing cost. These attributes are categorised into attractive and one-dimensional categories respectively. The results show that suitable appearance can lead companies to competitive advantage and reasonable servicing cost can cause decreasing market share.

Assessing after-sales services quality: integrated SERVQUAL and fuzzy Kano's model

This study proposes an integrated approach to evaluate after-sales services performance. The research statistical population consisted of home appliance industry consumers who went to after-sales services centres. Firstly after-sales services quality attributes are defined by running focus group meetings. To verify the validity of the SERVQUAL dimensions on after-sales services quality, the confirmatory factor analysis is applied validity of the SERVQUAL dimensions. Strengths and weaknesses of after-sales services quality are identifies by using SERVQUAL, then fuzzy Kano model is used to categorise defined strengths and weaknesses. The results show that there are a negative difference between customers' perceptions and customer's expectations for all attributes. The highest gaps are related to visually appealing facilities and reasonable servicing cost. These attributes are categorised into attractive and one-dimensional categories respectively. The results show that suitable appearance can lead companies to competitive advantage and reasonable servicing cost can cause decreasing market share.

International Strategic Alliances in the Iranian Home Appliance Industry: A Model of the Perceived Risks for Foreign Partners

Attracting foreign investment is one of the most important policies of the Iranian government for improving economic conditions. Nevertheless, despite the government and the Ministry of Industry's emphasis as well as the efforts of Iranian companies to attract foreign partners, this is less common in Iranian home appliance industry, which indicates the risks for foreign investors. Accordingly, the present study aims to identify and model the risks that foreign investors face through a Strategic Alliance with local companies in the Iranian home appliance industry. Hence, the Strategic Alliance risks are investigated through semi-structured interviews with 20 industry experts and the use of qualitative content analysis, and next, the extracted factors are validated by the academic and industry experts' views using Confirmatory Factor Analysis (CFA). The final model is proposed using Interpretive Structural Modeling (ISM). The research results demonstrate 9 major risk factors in the formation stage, 13 risk factors in operational stage and 6 risk factors in the termination stage of strategic alliance lifecycle. One of the significant findings of this study is that the political, legal and economic risks of Iran are the main risk factors for foreign companies in all three stages of strategic alliance lifecycle in Iran.

Vibration Measurement and Analysis in Carton Clamp Truck Handling

The purpose of this study was to construct power spectral density (PSD) profiles to analyse carton clamp truck handling environments. It also aimed to investigate the effects of payload, travelling speed, and tyre type on vibration levels of the main body and attachment of the clamp truck. Three types of PSD profiles of carton clamp truck handling were constructed for three different test courses designed based on a case study in the home appliance industry, ASTM D6055 and ISTA 3B. Experimental results showed that the overall root mean square acceleration of the new test course designed based on the actual handling environment in the home appliance industry is between the data obtained from ASTM D6055 and ISTA 3B test courses. The vibration levels measured at both the main body and attachment of the clamp truck increased with travel speed, they also increased when payload decreased.

Capability Upgrading and Systemic Catch-Up: A Multiple-Case Study of Chinese Home Appliance Industry

Technological catch-up of latecomer firms has been a hot topic in the past three decades, especially in emerging economies such as China, India and so on. However, little research has systematicall...

Performance evaluation of lean production based on balanced score card method using ANP and SIR: a case from Iranian home appliance industry

Lean production is a productive philosophy with systematic perspective which takes steps toward eliminating waste materials by applying continual improvement in the sophisticated business processes. Appropriate implementation of this philosophy results in significant changes within a business. Despite the ample efforts devoted to lean production’s evaluation and implementation, this system’s efficient evaluation and implementation are still experiencing countless issues, which seem to be due to absence of a comprehensive model for examining and evaluating lean production within manufacturing companies. Having knowledge of the companies’ performance status, provides us with the possibilities of discovering weakness and strengths, allowing lead strategic managers to have higher performance comparing to their competitors by allocating more volume of market share to themselves. Balanced score card is an important management system which it will be explained using the following four dimensions: management system, exclusive reliance on financial criteria is incomplete and defective. This paper aims at performance evaluation of lean production using balanced score card (BSC), analytic network process (ANP) and inferiority and superiority based ranking (SIR) approaches where, four dimensions have been considered including financial performance, customer, internal business processes and innovation and learning. The expert questionnaire was used to evaluate lean production’s performance based on BSC, DEMATEL survey—for recognizing element’s internal relationships—and TOPSIS survey—for evaluating leanness of production line. To aid us in ranking the production line, data analysis was completed based on Super Decision and Visual PROMETHEE where, the fourth production line with total score of 0.77 stood in the first order, meaning the internal operations with the least level of cost which proves its leanness. The first and sixth line were placed in next ranks with total score of 0.72 and 0.36 which demonstrates leanness level respectively.