scholarly journals The Effects of Knowledge Types on Consumer Decision Making for Non-Toxic Housing Materials and Products

2021 ◽  
Vol 13 (19) ◽  
pp. 11024
Author(s):  
Hyun Joo Kwon ◽  
Mira Ahn ◽  
Jiyun Kang
Keyword(s):  
Behavioral Intention ◽  
Indirect Effects ◽  
Structural Equation ◽  
Online Survey ◽  
Health Belief ◽  
Equation Modeling ◽  
Objective Knowledge ◽  
Subjective Knowledge ◽  
Knowledge Types ◽  
Housing Materials

This study explored how different types of consumer knowledge (exposure, subjective knowledge, and objective knowledge) predict perceptions (benefits, severity, and barriers) and behavioral intention to choose non-toxic housing materials and products based on the extended health belief model (HBM). The target population was people 18 years or older living in the U.S. A total of 1050 valid responses were collected through an online survey. Structural equation modeling was used to test the model via AMOS version 24. Results show that the prediction of exposure, subjective knowledge, and objective knowledge for behavioral intention is mediated by health belief perceptions in different ways. Exposure had a significant impact on perceived benefits and perceived severity but not on perceived barriers. Subjective knowledge was not significantly associated with perceptions, but all of the effects of objective knowledge on the HBM elements were significant. Significant indirect effects of exposure and subjective knowledge on behavioral intention were found; the indirect effects of objective knowledge on behavioral intention were insignificant. By adopting the extended HBM, this study contributes to a better understanding of the link among knowledge types and perceptions of non-toxic housing materials and products, and behavioral intention to choose them.

scholarly journals Social Distancing, Health Concerns, and Digitally Empowered Consumption Behavior Under COVID-19: A Study on Livestream Shopping Technology

2021 ◽  
Vol 9 ◽  
Author(s):  
Qiwei Pang ◽  
Haiyang Meng ◽  
Mingjie Fang ◽  
Jingjing Xing ◽  
Jinge Yao
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Health Belief ◽  
Consumer Trust ◽  
Equation Modeling ◽  
Perceived Severity ◽  
Social Distancing ◽  
Belief Model ◽  
The Impact ◽  
The Health Belief Model

During the COVID-19 pandemic, livestream shopping has provided consumers with a way to maintain social distancing while offering an alternative to offline shopping. This study aims to understand the impact of COVID-19 and other public health crises on the behavioral intentions of consumers using livestream shopping technology. A theoretical model was designed that combines the health belief model, trust theory, and the theory of planned behavior. Empirical data were collected from 358 residents in China and then analyzed using structural equation modeling. The results showed that perceived susceptibility, perceived severity, perceived benefits, and perceived obstacles had a significant impact on consumer trust. Consumer trust in turn had a direct impact on behavioral intention and an indirect impact on behavioral intention via attitude. These research results have practical implications for livestream shopping merchants, platform decision-makers, and service designers.

scholarly journals Determinants of Consumers’ Purchasing Behavior for Certified Aquaculture Products in South Korea

2019 ◽  
Vol 11 (14) ◽  
pp. 3840 ◽  
Author(s):  
Sangchoul Yi
Keyword(s):  
Behavioral Intention ◽  
Latent Variables ◽  
Structural Equation ◽  
Online Survey ◽  
Social Norm ◽  
Behavioral Control ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Tpb Model ◽  
Aquaculture Products

This study aims to investigate consumers’ decision-making process for purchasing certified aquaculture products using the theory of the planned behavior (TPB) model. Based on the TPB model, this study empirically examines the relationship among TPB constructs, namely; attitude, social norm, perceived behavioral control, and behavioral intention to purchase sustainably produced products (i.e., Aquaculture Stewardship Council-certified products). Data from a web-based survey conducted through an online survey company (960 usable response samples) are analyzed using structural equation modeling. The results indicate that all latent variables (i.e., attitude, social norm, and perceived behavioral control) positively affect consumers’ behavioral intention. More importantly, environmental awareness moderates the relationships between TPB constructs and behavioral intention. In the case of the high awareness group in this study, attitude influences behavioral intention more than social norm does. On the contrary, in the case of the low awareness group, social norm influences behavioral intention more than attitude does.

scholarly journals PERAN MEDIASI KUALITAS KETERHUBUNGAN DALAM PEMASARAN INTERNAL PERGURUAN TINGGI

2020 ◽  
Vol 10 (1) ◽  
pp. 111
Author(s):  
Endi Rekarti ◽  
Budi Suharjo ◽  
Rita Nurmalina ◽  
Setiadi Djohar
Keyword(s):  
Higher Education ◽  
Relationship Quality ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Online Survey ◽  
Internal Marketing ◽  
Equation Modeling ◽  
University Lecturers ◽  
The Relationship

Higher education institutions provide educational service that involves high intensity of interaction between lecturers and students. The relationship of a lecturer with the university determines the quality of the education that will be given to students. Exchanges that occur between lecturers and the higher education organizations, such as internal marketing activities, cannot be considered merely as a simple transactional economic process since educational role contains social elements in it. Relationship among university lecturers certainly plays an important role in determining lecturers' behavioral intention in conducting their academic tasks. This study is aimed to analyze the mediating role on the relationship quality of lecturers-college  in marketing process where the effect of internal marketing offerings on Academic Behavioral Intention. With an online survey of 256 private university lecturers, this research seeks to analyze the magnitude of influence of the quality of Lecturer Connectivity on Academic Behavior Intention of lecturers. Data analysis was performed by utilizing Structural Equation Modeling with Lisrel software. Results have shown that the effect of the internal marketing mix towards Academic Behavioral Intention seemed to be greater through relationship quality  in comparison to its direct influence.

scholarly journals Country Differences in Determinants of Behavioral Intention towards Sustainable Apparel Products

2021 ◽  
Vol 13 (2) ◽  
pp. 558
Author(s):  
Hye Jung Jung ◽  
Kyung Wha Oh ◽  
HaeJung Maria Kim
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Online Survey ◽  
Positive Impact ◽  
Evaluation Criteria ◽  
Equation Modeling ◽  
Total N ◽  
Perceived Consumer Effectiveness ◽  
Country Differences ◽  
The Uk

Increased demands for sustainable apparel products require research to understand better how to encourage sustainable buying behavior effectively, especially in the understudied areas of cross-cultural research. This study, which includes respondents from the UK, US, and China (total n = 711) who completed an online survey, explores determinants of behavioral intention toward sustainable apparel products (SAP). This paper contributes to examine both consumer characteristics (shopping values, consciousness of sustainability, perceived consumer effectiveness, and environmental knowledge) and marketing perspective (evaluation criteria of SAP) determinants for encouraging sustainable apparel consumption behaviors. Significant country differences also emerged, indicating the positive impact on behavioral intention to sustainable apparel products across three countries. Results of structural equation modeling analysis demonstrated there were differences and similarities in the effect of consumers’ characteristic factors and marketing perspective factors on SAP behavioral intention among three countries. The results validate that differentiated marketing strategies in the sustainable apparel industry are required when targeting global consumers to boost sustainable apparel consumption and successfully help to remedy the crisis facing our planet and further generation.

scholarly journals Understanding Apple Attribute Preferences of US Consumers

Foods ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 166
Author(s):  
Rombach Meike ◽  
David L. Dean ◽  
Tim Baird
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Consumer Attitudes ◽  
Sociodemographic Factors ◽  
Objective Knowledge ◽  
Key Factors ◽  
Positive Health ◽  
Subjective Knowledge ◽  
Societal Benefits ◽  
Equation Modelling

Apple preferences of US consumers are widely explored. However, the key factors that drive the importance that US consumers place on apple attributes are rather unexplored. To fill this literature gap, an online survey with 383 US apple buyers was conducted. A two-step analysis consisting of descriptive statistics and partial least squares structural equation modelling indicates that subjective knowledge was the most important factor, determining both the discernment of buyers and attitudes towards US fruit growers. Objective knowledge and sociodemographic factors, other than education, were not found to have any impact. The discernment of a buyer and their ability to distinguish apple varieties had the greatest impact on the importance that US consumers placed on physical and commercial product attributes. It was also found that attitudes towards growers impacted on the importance which consumers place on both types of attributes. Given that consumer attitudes were shown to be a strong driver of their buying preferences, growers and grower associations should also consider highlighting the positive health and societal benefits that their products provide.

scholarly journals The Determinants of Panic Buying during COVID-19

2021 ◽  
Vol 18 (6) ◽  
pp. 3247
Author(s):  
Grace Chua ◽  
Kum Fai Yuen ◽  
Xueqin Wang ◽  
Yiik Diew Wong
Keyword(s):  
Health Belief Model ◽  
Structural Equation ◽  
Online Survey ◽  
Health Belief ◽  
Outcome Expectation ◽  
Equation Modeling ◽  
Theoretical Understanding ◽  
Health Crisis ◽  
Belief Model ◽  
The Health Belief Model

The COVID-19 pandemic has seen an unmatched level of panic buying globally, a type of herd behavior whereby consumers buy an uncommonly huge amount of products because of a perception of scarcity. Drawing on the health belief model, perceived scarcity, and anticipated regret theories, this paper formulated a theoretical model that linked the determinants of panic buying and analyzed their interrelationships. Subsequently, data were collated from 508 consumers through an online survey questionnaire in Singapore that was conducted during the early stage of the pandemic, before the onset of the circuit breaker in April 2020. Next, an analysis of the results was done through structural equation modeling. It showed that the effect of the health belief model dimensions (i.e., perceived susceptibility, perceived severity, outcome expectation, cues to action, and self-efficacy) on panic buying is partially mediated by the consumers’ perceived scarcity of products. Furthermore, the effect of perceived scarcity on panic buying is partially mediated by consumers’ anticipation of regret. This paper expands on the current theoretical understanding of panic buying behavior, giving insights into the possible measures and solutions that policymakers and relevant stakeholders can uptake to manage panic buying in future a pandemic or health crisis.

scholarly journals The influence of acceptance and adoption drivers on smart home usage

2019 ◽  
Vol 53 (6) ◽  
pp. 1073-1098 ◽  
Author(s):  
Marco Hubert ◽  
Markus Blut ◽  
Christian Brock ◽  
Ruby Wenjiao Zhang ◽  
Vincent Koch ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Innovation Diffusion ◽  
Indirect Effects ◽  
Smart Home ◽  
Structural Equation ◽  
Online Survey ◽  
Perceived Usefulness ◽  
Risk Theory ◽  
Equation Modeling ◽  
Content Type

Purpose This study aims to develop a comprehensive adoption model that combines constructs from various theories and tests these theories against each other. The study combines a technology acceptance model, innovation diffusion theory and risk theory. It develops this model in a smart home applications context. Design/methodology/approach The study is based on an online survey consisting of 409 participants, and the data are analyzed using structural equation modeling. Findings Each theory provides unique insights into technology acceptance and numerous constructs are interrelated. Predictors from innovation diffusion and risk theory often display indirect effects through technology acceptance variables. The study identifies risk perception as a major inhibitor of use intention, mediated through perceived usefulness. Results reveal that the most important determinants of use intention are compatibility and usefulness of the application. Research limitations/implications Studies which do not examine different theories together may not be able to detect the indirect effects of some predictors and could falsely conclude that these predictors do no matter. The findings emphasize the crucial role of compatibility, perceived usefulness and various risk facets associated with smart homes. Originality/value This study broadens the understanding about the necessity of combining acceptance and adoption drivers from several theories to better understand the usage of complex technological systems such as smart home applications.

Behavioral intention to use cryptocurrency in Malaysia: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joye Ter Ji-Xi ◽  
Yashar Salamzadeh ◽  
Ai Ping Teoh
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Online Survey ◽  
Developed Countries ◽  
Equation Modeling ◽  
Data Set ◽  
Age And Gender ◽  
Content Type ◽  
Factors Influencing ◽  
And Gender

Purpose The purpose of this study is to empirically examine the factors influencing consumer behavioral intention (BI) to use cryptocurrency as a medium of transaction. Constructs from the unified theory of acceptance and use of technology model and an added variable, perceived risk (PR), are examined to predict BI. Age and gender as moderators are retained in this model. Design/methodology/approach An online survey was used to gather the respondents’ responses on a five-point Likert scale. G * Power was used to calculate the required minimum sample size. A non-probability sampling technique was used to gather data from the 290 respondents based in Malaysia. The final data set was analyzed using the statistical package for the social sciences and SmartPLS software using structural equation modeling. Findings The results show that three of the five proposed factors (performance expectancy, effort expectancy and facilitating condition) are significant predictors of BI to adopt cryptocurrency as a medium of transaction. Interestingly, PR is not a significant predictor even though prior research studies showed otherwise. Likewise, the relationship between BI and social influence became significant only when age is added as a moderator. Practical implications Malaysians are still wary of cryptocurrency, even though global tech firms such as Amazon and Microsoft are already accepting Bitcoin as a payment method. This study aims to provide relevant authorities and businesses (i.e. central bank, retail merchants and cryptocurrency exchangers) insights toward understanding the factors consumers focus on if they were to use cryptocurrency as a medium of transaction. Originality/value Most cryptocurrency research are done in developed countries (i.e. USA, UK and EU) perspective. This research addresses the lack of quantitative literature on significant factors influencing BI to use cryptocurrency in developing country context while taking a PR, age and gender into consideration.

scholarly journals It Keeps the Good Boy Healthy from Nose to Tail: Understanding Pet Food Attribute Preferences of US Consumers

Animals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 3301
Author(s):  
Meike Rombach ◽  
David L. Dean
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Health Claims ◽  
Objective Knowledge ◽  
Pet Food ◽  
Product Attributes ◽  
Subjective Knowledge ◽  
Food Purchase ◽  
Pet Owners ◽  
Socio Demographic Factors

The study provides insights for marketing managers in specialized pet supplies retailers, as well as for vets and animal welfare organizations. This study proposes a model that investigates the importance pet owners place on convenience, natural ingredients, and value and health claims as product attributes. For this purpose, an online survey with a sample size of 206 pet-owning US residents was conducted. Partial least squares structural equation modelling shows that pet food purchase involvement positively impacts subjective and objective knowledge about pet food. Subjective knowledge appears to be the strongest factor impacting the importance consumers place on all three attributes. This is followed by objective knowledge. Socio-demographic factors such as gender, age, income, and education appear to have a limited impact as predictors for the importance consumers place on the product attributes.

Sign in / Sign up

Export Citation Format

Share Document