scholarly journals An Investigation on the Inconsistency of Consumer Preferences for Product Appearance: A Case Study of Residential Solar Panels

Author(s):  
Qifang Bao ◽  
Sami El Ferik ◽  
Mian Mobeen Shaukat ◽  
Maria C. Yang

The importance of the appearance of consumer products is widely understood. This paper considers an evaluation of the appearance of a technology-oriented product, the residential solar panel, from the perspective of individuals. This study uses a quantitative approach, visual conjoint analysis, to determine preferences for product appearance of solar panels, and further explores how presenting a solar panel in its context of use can influence the consistency of consumer preferences. Approximately 200 survey respondents were shown two kinds of images of solar panels, one of a standalone panel and the other of a panel installed on a roof. Results show a significant shift of preferences when first showing the non-contextualized image and then showing the contextualized image. Such preference inconsistency provides insights with which to inform the process of user-needs revealing.

Author(s):  
Lora A. Oehlberg ◽  
Alice M. Agogino ◽  
Sara L. Beckman

Engineers today have access to a myriad of tools for developing sustainable products that have minimal environmental impact. Although consumer interest in sustainability is increasing, it is still not foremost on the minds of many consumers. Engineers are thus faced with the dilemma of developing sustainable solutions for consumers who may not yet want or be able to articulate sustainability needs. We explore this issue by examining user research conducted by students in a graduate-level product design course. We present findings on how users define and describe sustainability, how sustainability needs interact with other user needs, and what tradeoffs people make and feelings people have when faced with sustainability trade-offs. We present a case study of one design team’s findings about sustainability, and how those findings affected the formulation of the team’s mission statement and product strategy. Based on these results, we propose recommendations for how to facilitate the design of innovative and sustainable consumer products.


Author(s):  
Premruedee Jitkuekul ◽  
Sirinna Khamtanet

Objective – This study aimed to investigate Thai customers’ preference to chili sauce using conjoint analysis (henceforth CA). Methodology/Technique – The participants of the study were residents of Sakon Nakhon, Nakhon Phanom and Mukdahan, Thailand. Data were collected with a stratified sampling technique and 420 usable questionnaires were considered. Findings –The participants of the study were residents of Sakon Nakhon, Nakhon Phanom and Mukdahan, Thailand. Data were collected with a stratified sampling technique and 420 usable questionnaires were considered. Conjoint Analysis indicates that consumers attach the most importance to a reasonable price, which is 45 baht. Since price is related to quality, good quality products must have a reasonable price. The flavor is the second priority. Consumers tend to prefer a hot & sweet flavor, yet too hot is not ideal, hot should be combined with a sweet flavor to make it smoother. In addition, consumers prefer a combination of herbal ingredients with organic chili, given the growing healthy trend in Thailand. Consumers then prefer an organic chili sauce with herbal ingredients that promotes good health. In terms of packaging, consumers prefer a squeezable product, rather than a bottle. Novelty - This paper will study the preferences of consumers with regards to the product; not much research on these topics has been undertaken. It could assist the company in knowing how to produce the product to respond to the customer’s demand. Type of Paper: Empirical. JEL Classification: M31, M39. Keywords: Chili sauce; Conjoint analysis; Consumer preferences; Customer satisfaction; New product development Reference to this paper should be made as follows: Jitkuekul, P; Khamtanet, S. (2020). A Conjoint Analysis of Consumer Preferences for Chili Products: A Case Study on Chili Sauce, J. Mgt. Mkt. Review, 5(4) 226 – 233. https://doi.org/10.35609/jmmr.2020.5.4(4)


Author(s):  
Premruedee Jitkuekul ◽  
Sirinna Khamtanet

Chili is a spice typically grown globally, including in Thailand, for either domestic consumption or commercial purposes. If considered in terms of economic perspectives, growing chili can help farmers earn some income as well as becoming a prosperous business for retailers. Moreover, chili is a major ingredient for the processed food and medicine industries, with profits gained by exporting it overseas. Thailand has a 5.44 per cent market share of chili worldwide with its chili products exported overseas, namely, green and red chili, dried chili and ground chili, as well as chili dips for chicken, chili paste and curry paste. These exports are expected to keep increasing to those who favor Thai food in foreign countries (Senadee, Pomrit, & Chaiyaporn, 2018). In Thailand, growing and cultivating chili ranks fifth in the world, as the plant is grown in a total land area of 575,787.5 Rai (FAO, 2016), which yields 332,888 tons of fresh chili. Northeastern Thailand is an area where most chili is grown, accounting for about 37 per cent. There, a total land area of 128,932 Rai yields 117,150 tons of fresh chili (DOAE, 2019) . Keywords: Chilli sauce, Conjoint analysis, Consumer preferences, Customer satisfaction, New product development


2003 ◽  
Vol 30 (2) ◽  
pp. 99-103 ◽  
Author(s):  
R. G. Nelson ◽  
C. M. Jolly ◽  
M. J. Hinds ◽  
Y. Donis ◽  
E. Prophete

Abstract Haitian consumers were surveyed to determine their preferences for three attributes of peanut butter: form (spicy, sweet, plain), origin (Haiti, U.S.), and price (lowest, most common, highest). Conjoint analysis was used to calculate relative importance and strengths of preferences for these attributes, which showed that price had more than twice the importance in the buying decision as either of the other attributes. Cluster analysis was used to identify market segments of like preferences, such as those strongly favoring Haitian products, or strongly disliking the plain form, or strongly sensitive to price. A multinomial logit model was used to evaluate the effect of various demographic variables on the probability of membership in a segment. A market share simulation determined that a new, sweet peanut butter product would increase domestic revenues most if priced at the highest level because a segment of the population would purchase the product and increase total peanut consumption.


Author(s):  
Heidi Q. Chen ◽  
Tomonori Honda ◽  
Maria C. Yang

Consumer preferences can serve as an effective basis for determining key product attributes necessary for market success, allowing firms to optimally allocate time and resources toward the development of these critical attributes. However, identification of consumer preferences can be challenging, particularly for technology-push products that are still early on in the technology diffusion S-curve, which need an additional push to appeal to the early majority. This paper presents a method for revealing preferences from actual market data and technical specifications. The approach is explored using three machine learning methods: Artificial Neural Networks, Random Forest decision trees, and Gradient Boosted regression applied on the residential photovoltaic panel industry in California, USA. Residential solar photovoltaic installation data over a period of 5 years from 2007–2011 obtained from the California Solar Initiative is analyzed, and 3 critical attributes are extracted from a pool of 34 technical attributes obtained from panel specification sheets. The work shows that machine learning methods, when used carefully, can be an inexpensive and effective method of revealing consumer preferences and guiding design priorities.


2021 ◽  
Author(s):  
Madhura J Jagtap ◽  
Ashwinqi V Mane ◽  
Aashish A Joshi

The invention and installation of a "grid tie rotating solar rooftop panel utilising PIC microcontroller" is presented in this work. As non-renewable energy supplies become scarcer, renewable energy sources are increasingly used to generate electricity. Solar panels are becoming increasingly popular, and this idea is based on a pic microcontroller rotates the solar panel according to position of sun. The solar panel's energy is then stored in a battery, which is then used to power the home or business. The grid tie mechanism then returns the remaining energy to the power station. As a result, many people's power usage will be lowered as a result of these projects. As light shines on the photodiode, a voltage is formed across these diodes, which is generated by the photovoltaic cell. The number of diodes in a series is termed an array, and these arrays are connected in parallel. As a result, the standard wattage panel is formed. Through a net metering system, the generated ac will be connected to the main grid. As a result, when our demand is lower, the generated supply will flow back to the grid, rotating the metre in the other way. The net metre system is named after the fact that as our demand increases at night, the metre rotates in the forward direction.


2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Ayşegül Taşçıoğlu ◽  
Onur Taşkın ◽  
Ali Vardar

It was intended to reveal the time dependent power generation under different loads for two different solar panels under the conditions of Bursa province in between August 19 and 25, 2014. The testing sets include solar panels, inverter, multimeter, accumulator, regulator, pyranometer, pyrheliometer, temperature sensor, and datalogger. The efficiency of monocrystalline and polycrystalline solar panels was calculated depending on the climatic data’s measurements. As the result of the study, the average performances of monocrystalline and polycrystalline panels are 42.06 and 39.80 Wh, respectively. It was seen that 87.14 W instantaneous power could be obtained from monocrystalline solar panel and that 80.17 W instantaneous power could be obtained from polycrystalline solar panel under maximum total radiation (1001.13 W/m2). Within this frame, it was determined that monocrystalline solar panel is able to operate more efficiently under the conditions of Bursa compared to polycrystalline solar panel. When the multivariate correlations coefficients were examined statistically, a significant relationship in positive direction was detected between total and direct radiation and ambient temperature on energy generation from monocrystalline and polycrystalline panel.


2013 ◽  
Vol 135 (6) ◽  
Author(s):  
Heidi Q. Chen ◽  
Tomonori Honda ◽  
Maria C. Yang

This paper investigates ways to obtain consumer preferences for technology products to help designers identify the key attributes that contribute to a product's market success. A case study of residential photovoltaic panels is performed in the context of the California, USA, market within the 2007–2011 time span. First, interviews are conducted with solar panel installers to gain a better understanding of the solar industry. Second, a revealed preference method is implemented using actual market data and technical specifications to extract preferences. The approach is explored with three machine learning methods: Artificial neural networks (ANN), Random Forest decision trees, and Gradient Boosted regression. Finally, a stated preference self-explicated survey is conducted, and the results using the two methods compared. Three common critical attributes are identified from a pool of 34 technical attributes: power warranty, panel efficiency, and time on market. From the survey, additional nontechnical attributes are identified: panel manufacturer's reputation, name recognition, and aesthetics. The work shows that a combination of revealed and stated preference methods may be valuable for identifying both technical and nontechnical attributes to guide design priorities.


2018 ◽  
Vol 1 (2) ◽  
pp. 60-72
Author(s):  
Mansour Safran

This aims to review and analyze the Jordanian experiment in the developmental regional planning field within the decentralized managerial methods, which is considered one of the primary basic provisions for applying and success of this kind of planning. The study shoed that Jordan has passed important steps in the way for implanting the decentralized administration, but these steps are still not enough to established the effective and active regional planning. The study reveled that there are many problems facing the decentralized regional planning in Jordan, despite of the clear goals that this planning is trying to achieve. These problems have resulted from the existing relationship between the decentralized administration process’ dimensions from one side, and between its levels which ranged from weak to medium decentralization from the other side, In spite of the official trends aiming at applying more of the decentralized administrative policies, still high portion of these procedures are theoretical, did not yet find a way to reality. Because any progress or success at the level of applying the decentralized administrative policies doubtless means greater effectiveness and influence on the development regional planning in life of the residents in the kingdom’s different regions. So, it is important to go a head in applying more steps and decentralized administrative procedures, gradually and continuously to guarantee the control over any negative effects that might result from Appling this kind of systems.   © 2018 JASET, International Scholars and Researchers Association


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