In the present work, the extended Theory of Planned Behaviour was utilised in order to exam- ine and unearth the consumer milk powder purchase intention after the milk powder scare. For this reason, a self-administered questionnaire was developed using established scales. Moreo- ver, a survey on 200 respondents was conducted in Penang, Malaysia through an online survey questionnaire. Statistical Package for the Social Science (SPSS) was utilised to analyse the data. The findings revealed that product knowledge, product involvement, and perceived benefit were positively and significantly related to purchase intention. Surprisingly, perceived risk and country of origin's image do not have any significant relationship with purchase inten- tion. Attitude, playing the role of the mediating variable in the present work, was discovered to have a mediating effect on the relationships among product knowledge, product involve- ment, perceived benefit, perceived risk, country of origin's image, and purchase intention regarding milk powder. The present work shines a new light on Malaysian consumers’ purchase intention towards milk powder. Furthermore, the results of the present work can be adopted as a source of reference by milk powder companies in order to formulate strategic marketing plans, for instance during the food scare crisis.
With the rising concern about climate change, there has been an increased public awareness that has resulted in new government policies to support scientific research for mitigating these problems. Malaysia is among the major energy-intense countries and is under an excessive burden to advance its energy efficiency and to also work towards the reduction of its carbon emission. Plug-in hybrid electric vehicles (PHEVs) have the potential to lessen the carbon emission and gasoline consumption in order to alleviate environmental problems. Most of the energy problems linked to the increasing transportation pollution are now being reduced with the solution of the adoption of PHEVs. PHEVs are seen as a solution to cut carbon emission, which prevents environmental damages. Furthermore, PHEVs' driving range and performance can be comparable to the other hybrid vehicles as well as the conventional IC engines that have gasoline and diesel tanks. Thus, many efforts are being initiated to promote the use of PHEVs as an innovative and affordable transportation system. In order to achieve making the consumers aware of the adoption of PHEVs, we used a model which is based on the extended theory of planned behavior (TPB). This review is based on the factors affecting the adoption of PHEVs among Malaysian consumers. The model takes into account the ten key features that influence the adoption of PHEVs, such as environmental concern, personal norm, attitude, vehicle ownership costs, driving range, charging time, intention, subjective norm, perceived behavioral control, and personal norm. All these constructs are drivers towards the adoption of PHEVs. These factors affect the relationship between the adoption of PHEVs and how consumers intend to protect the environment. This review is based on improving how the "attitude-action" gap is understood as it is an important element for further studies on PHEVs. The aim of the research is to come up with a framework that examines how to modify the consumer's environmental concerns in acquiring PHEVs. This will pave the way for more academic research and future works that can emphasize how to obtain empirical results. The authors' recommendation is that, before a consumer's behavior is assessed and considered, an observation of the current technology is needed with methods and knowledge of the existing technology adoption aspect.
Social media is playing a vital role in the promotion of green products by reshaping the millennial green purchasing intention and green consumption behaviors, resulting in progressive growth toward sustainable environment and lower carbon emission. Non-organic consumption among humans has increased the carbon emission in contrary risked environment; therefore, consumption behavior and purchasing intention are required to change for better sustainable environment. This study's goal is to determine the effects of social media in molding the consumption behaviors while considering eco-labeling, eco-branding, social norms, and purchase intensions among millennials to promote green consumption and lower carbon emission. It was decided to use a cross-sectional questionnaire survey to get information from the students of different faculties including social sciences, engineering, and bio-sciences. SPSS.V.22 and Smart-PLS were used to analyzed the data. Results indicated that social media has a profoundly good impact on molding and impacting youth behaviors regarding the green consumption, resulting in increasing intention toward sustainable environment which results in lower carbon emission. The results are in line with the predictions and contextual analysis, as the whole world is coming back toward natural life and is working for environmental protection and sustainability specially to lower the carbon emission. Therefore, students are molding themselves toward green consumption. The study recommends that future research may be conducted to study more contextual variables, who has influence on the green consumption among the general public regarding green consumptions and lowering carbon emission and stepping toward the sustainable environment.
Sponge cake prepared by partial substitution of wheat flour with mango pulp and mango peel flours (MPuF and MPeF, respectively) at different concentrations (control, 5%, 10%, 20% or 30%) were investigated for the physico-chemical, nutritional and organoleptic characteristics. Results showed sponge cake incorporated with MPuF and MPeF to have high dietary fiber with low fat, calorie, hydrolysis and predicted glycemic index compared with the control. Increasing the levels of MPuF and MPeF in sponge cake had significant impact on the volume, firmness and color. Sensory evaluation showed sponge cake formulated with 10% MPuF and 10% MPeF to be the most acceptable. MPeF and MPuF have high potential as fiber-rich ingredients and can be utilized in the preparation of cake and other bakery products to improve the nutritional qualities.
This study aims to contribute to the development of an extended theory of planned behavior to understand the indicators of consumer behavior. A conceptual framework highlighting four study constructs (i.e., personal norms, intention towards green hotels, environmental consciousness, and green consumer behavior) was tested using 394 general Malaysian lodging consumers. The findings indicate that to devise green branding strategies for the hotels, the managers must first consider how the environmental consciousness of consumers positively affects their personal norms and behavior towards green hotels. Second, consumers' personal norms and behavioral intention towards environmentally responsible lodging positively affect their green behavior. Third, Personal norms mediates the significant positive relationship between; environmental consciousness and behavioral intention towards environmentally responsible lodging of a consumer; and environmental consciousness and green consumer behavior. Lastly, behavioral intention towards environmentally responsible lodging mediates the significant positive relationship between a consumer's personal norms and green consumer behavior.
Organic food has gained much importance due to consumers' rising environmental and health concerns. Purchase intention of organic food has been explored widely, but the repurchase intention of organic food has gained little attention among researchers. So, it has become important to explore repurchase intention among generation Z; a generation considered more educated and aware of rising environmental concerns. Generation Z is more tech-savvy and brand conscious, so its impact on repurchase intention through consumer satisfaction has been explored. The data in this paper was collected from 400 respondents through a structured questionnaire in Islamabad, Pakistan. We used the PLS-SEM approach for data analysis and results; we found that social media influence and brand purchase impact brand awareness and positively impact brand awareness on consumer satisfaction. Moreover, it is also found that consumer satisfaction positively impacts the repurchase intention of organic food. Our study found that Generation Z has a strong social media influence, so marketers' managers must consider and address the issues when consumers consider social media for their concerns and suggestion.
The objective of the present study is to examine sociodemographic factors associated with consumption of confectionery among obese and non-obese adults in Malaysia. Secondary analysis of the Malaysian Adult Nutrition Survey (MANS) 2014 was performed. The survey was conducted in urban and rural areas in the 14 states of Malaysia, including the Federal Territory of Kuala Lumpur. Adults aged 18 years and above (n = 2696) were interviewed. The dependent variable was the total servings of confectionery consumed per week. An ordered logistic regression model was used to examine the associated sociodemographic factors in the decision of people to consume 0, 1-2, 3-5 and ≥6 servings of confectionery. Marginal effects of sociodemographic variables on confectionery consumption were calculated. Analyses stratified by bodyweight group were conducted. The results showed that income, education, gender, ethnicity, and employment status were significantly associated with consumption of confectionery. In particular, income, education, gender, ethnicity and employment status affected confectionery consumption, but not the other way around. However, no relationship was evidenced between age, marital status, household location and confectionery consumption. In conclusion, sociodemographic factors were related to consumption of confectionery. Policies aimed at discouraging consumption of confectionery should focus primarily on high income earners, well-educated individuals and Bumiputera.
The substitution of milk fat with virgin coconut oil (VCO) was used to produce nutritious ice cream with pleasant coconut flavor and aroma. Three formulations were developed whereby formulation VCO4, VCO8 and VCO12 was substituted with 4%, 8% and 12% of VCO, respectively. The physicochemical properties of ice creams analyzed include overrun, meltdown, pH, titratable acidity, total solid, protein and fat content. The fatty acids profile of VCO formulated ice creams and their stabilities over 3 and 6 weeks storage were studied respectively using gas chromatography (GC). Qualitative descriptive analysis (QDA) and consumer affective test were performed among the trained and untrained panelists. Significant differences (p < 0.05) of overrun, pH, total solid, protein and fat content between ice cream formulations were observed except titratable acidity. Increased VCO content in ice cream formulations lowered the melting resistance of ice cream. For GC analysis, the major fatty acid identified was lauric acid. Upon storage time, the concentration of unsaturated fatty acid decreased but the concentration of saturated fatty acid increased. The result of QDA showed that formulation VCO4, VCO8 and VCO12 were significantly (p < 0.05) different in attributes of color, firmness and smoothness as compared to the control ice cream. Formulation VCO12 was highly accepted by panelists in terms of the acceptance level of appearance, aroma, texture, flavor and overall acceptability. Hence, it has a potential marketable value.
This study investigated restaurant customers' perceived importance of key factors in accordance with dining occasions and restaurant segments. Our investigation into restaurant selection and situational factors present two types of empirical evidence regarding customers' choice of restaurant. First, menu price was customers' top priority in restaurant selections for full-service, quick-casual, and quick-service restaurants. Second, restaurant customers rated the importance level of restaurant selection criteria differently according to eating-out occasions. The importance of menu price was greatest for both quick meal/convenience and social occasion, brand reputation was the most important factor for business necessity, and word-of-mouth recommendation was greatest for celebration.
The own price, income and price of a substitute are the determinants of demand in the classical theory of consumer behavior. We used the theory to analyze the demand for local rice in Malaysia by using time series variables. We examined whether there is a long run relationship among the variables by using the unit root and cointegration tests. We then conducted the Granger causality, variance decomposition and impulse response function tests to examine their directions of causality as well as short term dynamics. The results show that there is a long run relationship among the variables and a unidirectional causality from price and income to demand. There are also lagged and short term dynamics among the variables.
Introduction: Continuous quality improvement of system is essential to improve efficiency of working environ- ment. Limited financial allocation in low resource setting results in the vicious circle of having inadequate money to purchase a new system and print paper documents that are required for the operation of clinic. A staff-initiated system improvement with the name of “PRW UMS Staff Portal” was attempted to break-free from the vicious cycle. Methods: An online system covering different aspects of routine clinical work of healthcare workers was created in Dec 2019 and implemented in Feb 2020 using Google SiteTM by the nurses of a local university community clinic, which included: submission of daily reports of nurses and assistant medical officers, submission of reports of all programmes conducted by the clinic, surveillance of health status of working staffs, announcement and request of working roster, archiving of documents, and medication inventory. The system could only be accessed using official working email for general documents while accesses to sensitive documents were restricted to relevant staffs to pro- tect privacy and confidentiality of information. Qualitative interviews were performed with all nursing staff involved. Results: Qualitative feeling of improvement in coordination of workflow was reported by all 23 staffs working in the clinic in view of the easy access of system using smartphone and computer at workstation. It also reduced the need to move away from the working station in order to access, replenish, or submit the printed documents and reports. Significant amount of paper and printing were saved monthly. Conclusions: Despite positive feedback from the staffs, the system requires further improvement in terms of function and security. Further evaluation on cost-efficiency of the system can be done to promote the system to other universities.
The increased human demand for animal proteins in Malaysia is led by several factors: population growth, urbanisation, income growth and changing consumer preferences. Meeting the projected increased demand in the future is an awesome and challenging task. Presently, the non-ruminant poultry and pig industries, mainly private sector led, make the most significant contribution to total animal protein supplies, and inefficient ruminant production systems lag well behind. The strategy for promoting productivity growth to increase animal protein supplies from ruminants requires concerted efficient natural resource management that can target specific production systems. Two distinct economic opportunities are the development of oil palm-based cattle and goat production. The value addition to oil palm cultivation due to the beneficial crop-animal-soil interactions are enormous. The prerequisites are inter-disciplinary efforts, holistic systems, participatory community-based research and development that are needs-based and address constraints, increased research investments, institutional commitment and a policy environment that can enhance total factor productivity in the future.
The development trend of tourism performance networking, although convenient for audience consumption, also makes the performance information present the development trend of big data. In the mass of information, how to accurately locate products and improve audience satisfaction is an urgent problem to be solved. In order to better explore the evaluation of tourism performance by the customer satisfaction evaluation model, analyze the development prospect of tourism in Jiangxi Province in the future, improve the customer satisfaction evaluation model with rough set, and propose a composite customer satisfaction evaluation model. By setting the adjustment value of the evaluation index, the model not only avoids the "false eigenvalue" of the satisfaction evaluation result but also simplifies the calculation process of the model and improves the accuracy, calculation efficiency, and single data processing capacity of the satisfaction evaluation. According to the MATLAB simulation results, the composite customer satisfaction evaluation model constructed in this study is better, the calculation accuracy is >97%, and the calculation time is 40 seconds, which are better than the original customer satisfaction evaluation model. Therefore, the composite customer satisfaction evaluation model can be applied to the evaluation of tourism performance products to provide data support for the evaluation price of audience satisfaction in Jiangxi Province.
This study aims to examine key attributes affecting Airbnb users' satisfaction and dissatisfaction through the analysis of online reviews. A corpus that comprises 59,766 Airbnb reviews form 27,980 listings located in 12 different cities is analyzed by using both Latent Dirichlet Allocation (LDA) and supervised LDA (sLDA) approach. Unlike previous LDA based Airbnb studies, this study examines positive and negative Airbnb reviews separately, and results reveal the heterogeneity of satisfaction and dissatisfaction attributes in Airbnb accommodation. In particular, the emergence of the topic "guest conflicts" in this study leads to a new direction in future sharing economy accommodation research, which is to study the interactions of different guests in a highly shared environment. The results of topic distribution analysis show that in different types of Airbnb properties, Airbnb users attach different importance to the same service attributes. The topic correlation analysis reveals that home like experience and help from the host are associated with Airbnb users' revisit intention. We determine attributes that have the strongest predictive power to Airbnb users' satisfaction and dissatisfaction through the sLDA analysis, which provides valuable managerial insights into priority setting when developing strategies to increase Airbnb users' satisfaction. Methodologically, this study contributes by illustrating how to employ novel approaches to transform social media data into useful knowledge about customer satisfaction, and the findings can provide valuable managerial implications for Airbnb practitioners.
In 2008 the sub-Saharan FAIMER Regional Institute launched a faculty development programme aimed at enhancing the academic and research capacity of health professions educators working in sub-Saharan Africa. This two-year programme, a combination of residential and distance learning activities, focuses on developing the leadership, project management and programme evaluation skills of participants as well as teaching the key principles of health professions education-curriculum design, teaching and learning and assessment. Participants also gain first-hand research experience by designing and conducting an education innovation project in their home institutions. This study was conducted to determine the perceptions of participants regarding the personal and professional impact of the SAFRI programme.
This dataset contains information of 375 respondents on green consumption behaviour. The questionnaire was developed using Theory of Planned Behaviour as the foundation. The variables available in the dataset are Environmental Concern (EC), Social Influence (SI), Perceived behavioural control (PBC), Consumer novelty seeking (CNS) and Green consumption behaviour (GC). In addition to the variables related to green consumption, the dataset also includes demographic and media preference information of the respondents. The data was collected via self-administered questionnaire in seven major cities in Klang Valley, namely Shah Alam, Bangsar, Petaling Jaya, Subang Jaya, Puchong, Serdang and Putrajaya. The dataset can have an important role for research in consumer behaviour towards developing green consumers.
The bookings and revenues of youth hostels have significantly decreased because of the multiple effects of the COVID-19 pandemic. It is necessary to investigate young consumers' perceptions of visiting youth hostels aftermath this pandemic. The current study examines the relationship between multi-dimensions of perceived risk, three types of images, willingness to pay and visit intention. A convenience sampling was developed where 534 questionnaires were received, followed by subsequent empirical testing of the proposed hypotheses using SPSS and AMOS-SEM. Results showed that perceived risk negatively influenced cognitive and affective image, respectively. Cognitive and affective image positively influenced overall image and finally influenced willingness to pay and visit intention separately. In addition, cognitive image positively influenced affective image. The theoretical framework satisfactorily accounted for willingness to pay and intention, and our results help youth hostels practitioners invent efficient strategies to boost young consumers' willingness to pay and intention to visit youth hostels.
Recent research has shown that event-related brain potentials (ERPs) recorded while participants view lists of different consumer goods can be modulated by their preferences toward these products. However, it remains largely unknown whether ERP activity specific to a single consumer item can be informative about whether or not this item will be preferred in a shopping context. In this study, we examined whether single-item ERPs could reliably predict consumer preferences toward specific consumer goods. We recorded scalp EEG from 40 participants while they were viewing pictures of consumer goods and we subsequently asked them to indicate their preferences for each of these items. Replicating previous results, we found that ERP activity averaged over the six most preferred products was significantly differentiated from ERP activity averaged across the six least preferred products for three ERP components: The N200, the late positive potential (LPP) and positive slow waves (PSW). We also found that using single-item ERPs to infer behavioral preferences about specific consumer goods led to an overall predictive accuracy of 71%, although this figure varied according to which ERPs were targeted. Later positivities such as the LPP and PSW yielded relatively higher predictive accuracy rates than the frontal N200. Our results suggest that ERPs related to single consumer items can be relatively accurate predictors of behavioral preferences depending on which type of ERP effects are chosen by the researcher, and ultimately on the level of prediction errors that users choose to tolerate.
We investigated whether well-known neural markers of selective attention to motivationally-relevant stimuli were modulated by variations in subjective preference towards consumer goods in a virtual shopping task. Specifically, participants viewed and rated pictures of various goods on the extent to which they wanted each item, which they could potentially purchase afterwards. Using the event-related potentials (ERP) method, we found that variations in subjective preferences for consumer goods strongly modulated positive slow waves (PSW) from 800 to 3000 milliseconds after stimulus onset. We also found that subjective preferences modulated the N200 and the late positive potential (LPP). In addition, we found that both PSW and LPP were modulated by subsequent buying decisions. Overall, these findings show that well-known brain event-related potentials reflecting selective attention processes can reliably index preferences to consumer goods in a shopping environment. Based on a large body of previous research, we suggest that early ERPs (e.g. the N200) to consumer goods could be indicative of preferences driven by unconditional and automatic processes, whereas later ERPs such as the LPP and the PSW could reflect preferences built upon more elaborative and conscious cognitive processes.
With the development of the network economy, especially the promotion and popularization of mobile networks, traditional offline businesses are further integrated with online businesses, promoting the development of business online strategies. However, with the growth of enterprises' business, their negative externalities on the environment have gradually become prominent, further affecting sustainable consumption. The relationships between businesses, the environment, and consumption have become the focus of attention. China's fast-growing bottled water companies face similar challenges. The pollution that occurs due to bottled water packaging poses great threats to consumers. Hence, this study extended the Theory of Planned Behavior (TPB) by integrating three risk aspects, namely, water pollution risk perception (WPRP), non-degradable package pollution risk perception (NPPRP), and false information risk perception (FIRP), to examine the consumers' perceptions toward these risk aspects before purchasing bottled water online. This study employed a cross-sectional approach to collect data from online consumers via a survey method. A total of 401 valid samples were collected and then analyzed via a structural equation model using the AMOS statistical package. The results showed that attitude (AT), subjective norm (SN), and perceived behavior control (PBC) toward online bottled water purchase had significant and positive effects on the consumers' purchase intentions (PIs). However, under the influence of risk perception, the consumers' attitudes, SNs and PBC became suppressed by WPRP, and SN became suppressed due to the impact of FIRP. Furthermore, the negative impacts of NPPRP and FIRP on PI were partially mediated by AT, SN and PBC. Meanwhile, WPRP imposed the most significant direct effect on PI. The study results will help businesses to develop better online strategies to reduce the risk perception of bottled water and provide theoretical value and practical guidance for realizing sustainable consumption.