scholarly journals Are consumers loyal to genetically modified food? Evidence from Australia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fazlul K. Rabbanee ◽  
Tanzim Afroz ◽  
Mostafa Mahmud Naser
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Genetically Modified ◽  
Policy Implications ◽  
Genetically Modified Food ◽  
Consumer Loyalty ◽  
Repurchase Intention ◽  
Content Type ◽  
Gm Food ◽  
Parsimonious Model

PurposeGenetically modified (GM) food has received considerable interest from academics and practitioners. However, research on consumer loyalty towards GM food is relatively sparse. Guided by the theory of planned behaviour, this study aims to explore the factors that influence consumer repurchase intention and behavioural loyalty towards GM food.Design/methodology/approachData were collected from 464 Australian consumer panel members surveyed through a nationwide online survey, with data analysed by structural equation modelling using AMOS (v. 22.0).FindingsThe findings reveal that consumer loyalty towards GM food is influenced by the interplay between awareness of benefits and risks, situational and social influences and attitude and repurchase intention. Female consumers are found to not only possess a relatively more favourable attitude and repurchase intention, but also are more loyal towards GM food compared to male consumers. Unlike older consumers, younger consumers' loyalty towards GM food is influenced by their attitude and repurchase intention. The relevant policy implications of the findings are discussed.Practical implicationsAs consumers have contrasting views about GM food, to influence their loyalty, it is important for GM food industries as well as policy makers to better understand how to address consumers' varying concerns about GM food.Originality/valueThis study offers a parsimonious model for explaining the factors that influence consumer loyalty towards GM food.

E-commerce brand

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Weisheng Chiu ◽  
Heetae Cho
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Content Type ◽  
Proposed Model ◽  
Gender And Age ◽  
Brand Leadership ◽  
The Impact ◽  
Over 40 Years

PurposeThe purpose of this paper is to investigate the influence of perceived brand leadership of an e-commerce website on satisfaction and repurchase intention. Moreover, the different roles of gender and age were explored in the proposed model.Design/methodology/approachAn online survey was administered to Chinese consumers (n=476) who have purchased products on e-commerce websites. Using SmartPLS 3.0 software, a partial least squares structural equation modeling analysis was conducted in this study.FindingsThe results showed that all factors of perceived brand leadership (i.e. quality, value, innovativeness and popularity) have positive influences on satisfaction, and in turn satisfaction significantly affects repurchase intention. Also, value and popularity have positive influences on repurchase intention. In addition, gender differences were found in the proposed model. More specifically, the influence of quality on satisfaction was stronger for male consumers, while the impact of popularity on satisfaction was stronger for female. In terms of age differences, the influence of quality on satisfaction was stronger for the consumers over 40 years old as compared to the younger consumers (i.e. the 20s). Moreover, the influence of innovativeness on satisfaction and repurchase intention was stronger for the 20s consumers as compared to the consumers who are over 40 years old.Originality/valueThis study attempts to apply the concept of brand leadership to the e-commerce setting by addressing differential consumption decision-making process. In addition, different gender and age groups reveal unique preferences and consumption patterns.

Analysing flow experience on repurchase intention in e-retailing during COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ipek Kazancoglu ◽  
Burak Demir
Keyword(s):  
Customer Satisfaction ◽  
Structural Equation ◽  
Online Survey ◽  
Flow Theory ◽  
Flow Experience ◽  
Repurchase Intention ◽  
Content Type ◽  
Mediating Role ◽  
Time Distortion ◽  
And Control

PurposeThe aim of this paper is to analyse the effects of flow experience on repurchase intention. In this context, this paper examines the mediating role of e-customer satisfaction during COVID-19 pandemic. This study is based on flow theory using two consequent factors, which have not been investigated together previously.Design/methodology/approachA questionnaire consisted of flow experience dimensions and e-customer satisfaction, repurchase intention. An online survey was conducted with 478 consumers who experienced flow in online shopping. Exploratory factor analysis and structural equation modelling were used to test research hypotheses. The research study data were collected between 20 March and 31 May 2020, during the spread of COVID-19.FindingsTelepresence, concentration and control dimensions of flow experience have a significant effect on e-customer satisfaction. In addition, it was determined that the change in repurchase intention was caused by concentration and telepresence dimensions of flow experience. Therefore, it was found that e-customer satisfaction has a significant effect on repurchase intention. As a result, it was determined that e-customer satisfaction has a partial mediating role in the effect of flow experience dimensions of telepresence, concentration and control, and a full mediating role in the effect of flow experience dimension of time distortion on repurchase intention.Research limitations/implicationsThe limitations of the study are that research was conducted on only one retail company and a limited number of participants were reached. In addition, some flow experience dimensions were excluded in the study, constituting another limitation.Originality/valueThis paper contributes flow theory literature by modelling flow dimensions as an independent variable that affects e-customer satisfaction and repurchase intention. In addition, different dimensions of flow experience in online retailing have been discussed, and no study has been found that discusses flow experience dimensions (goal clarity, enjoyment, curiosity, control, telepresence, time distortion, concentration) together. This study conducted during COVID-19 pandemic would produce a different perspective on flow experience in e-retailing

Fresh food online shopping repurchase intention: the role of post-purchase customer experience and corporate image

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kara Xiaohui Ma ◽  
Damien William Mather ◽  
Dana L. Ott ◽  
Eddy Fang ◽  
Phil Bremer ◽  
...  
Keyword(s):  
Customer Satisfaction ◽  
Structural Equation ◽  
Online Survey ◽  
Customer Experience ◽  
Corporate Image ◽  
Repurchase Intention ◽  
Content Type ◽  
Fresh Food ◽  
Post Purchase

PurposeThe purpose of this study is to investigate consumers' post–purchase experience when buying fresh food online. It examines the key dimensions of post–purchase online customer experience (post–purchase OCE) that impact customer satisfaction and repurchase intention. It also explores the role of corporate image as a moderator.Design/methodology/approachAn online survey was conducted in China to capture participants' post–purchase OCE, satisfaction, repurchase intention and perceived corporate image. Partial least squares structural equation modelling (PLS-SEM) was utilized to analyse data collected from 317 Chinese fresh food online shoppers. Moderated mediation analysis was conducted to analyse the moderating effect of corporate image.FindingsFour post–purchase OCE dimensions “product-in-hand”, “customer support”, “benefits” and “packaging” significantly drive customers' repurchase intention by enhancing customer satisfaction. “Delivery” is not influential. Additionally, for firms with a good corporate image, customer repurchase intention is more easily affected by post–purchase OCE than firms with a lower level of corporate image.Practical implicationsThe findings inform fresh food e-commerce firms of the critical post–purchase OCE dimensions that mostly drive customer satisfaction and help retain customers. Furthermore, it implies that firms with a good corporate image must provide high-quality post–purchase OCE that matches the image because the consequences associated with a poor post–purchase OCE can be severe.Originality/valueThis research is among the first to investigate fresh food post–purchase OCE. It also introduces the previously underexplored moderating role of corporate image.

Structural equation test of relationship quality

2016 ◽  
Vol 11 (3) ◽  
pp. 374-394 ◽  
Author(s):  
Ernest Emeka Izogo
Keyword(s):  
Information Sharing ◽  
Relationship Quality ◽  
Structural Equation ◽  
Online Survey ◽  
Customer Orientation ◽  
Retail Banking ◽  
Repurchase Intention ◽  
Content Type ◽  
Antecedents And Consequences ◽  
Willingness To Recommend

Purpose – The purpose of this paper is to examine how companies can influence customers’ repurchase intention and willingness to recommend through relationship quality (RQ hereafter) constructs by leveraging customer orientation, expertise and information sharing. Design/methodology/approach – The research informants were recruited from a Southeastern Nigerian city. Data analysis was based on 303 qualified cases extracted from the 332 valid responses retrieved from the customers of retail banking services through a bank-intercept method and online survey. Findings – Except customer orientation, all the antecedents of RQ were directly related to trust and satisfaction. Whereas satisfaction was both directly and indirectly related to repurchase intention and willingness to recommend, trust was directly and indirectly related to repurchase intention but was not directly related to willingness to recommend. It was only indirectly related to willingness to recommend through satisfaction and repurchase intention. Trust and satisfaction mediate the link between RQ antecedents and repurchase intention and willingness to recommend. The research model explained 67 per cent of the total variance in willingness to recommend. Research limitations/implications – The mediating role of RQ in the link between customer orientation, expertise and information sharing and repurchase intention and willingness to recommend remains largely untested in the literature. This provides an avenue for future studies to extend RQ research to the nature of the construct’s behaviour when it is tested as a mediator in the relationship between its antecedents and consequences especially in West Africa where substantive research is scarce. Practical implications – One of the key measures that retail banks can use to keep customers’ patronage and spur them into making business referrals is to build trust and deliver pleasurable satisfaction by leveraging customer orientation, expertise and information sharing. Originality/value – As far as could be established, this paper represents the first attempt to simultaneously explore the indirect effects of customer orientation, expertise and information sharing on repurchase intention and willingness to recommend through the constructs of RQ. The paper further demonstrates that the relationships estimated within the model are not moderated by gender and occupation differences.

A structural equation model for the analysis of genetically modified foods consumption

2016 ◽  
Vol 46 (5) ◽  
pp. 706-716 ◽  
Author(s):  
Pasquale Sarnacchiaro ◽  
Roberta Di Gennaro ◽  
Raffaela Palma
Keyword(s):  
Human Health ◽  
Structural Equation Model ◽  
Food Consumption ◽  
Structural Equation ◽  
Genetically Modified ◽  
Equation Model ◽  
Content Type ◽  
Gm Food ◽  
Gm Foods ◽  
The Impact

Purpose The spread of genetically modified (GM) foodstuffs is related to consumer scepticism in Europe, and particularly in Italy. Consumer scepticism in turn depends on the low level of public knowledge about the health consequences, in terms of risks and benefits, of consuming these GM foods. This paper aims, first and foremost, to investigate the phenomenon of GM foodstuffs consumption in Italy and, then, to construct a statistical model for analysing the Italian habits regarding this consumption. Furthermore, this model allows us to formalize the origins of behaviour regarding GM foodstuffs consumption and to detect the drivers of their purchase. Design/methodology/approach From January 2009 to May 2009, 1,061 public high school students in 25 randomly selected schools of a metropolitan area (Naples, South Italy) were questioned. More precisely, each student was given a questionnaire regarding, in the first part, school cultural characteristics and, then, awareness and GM food consumption. A Likert scale was used to answer the questions. After collecting data, the authors chose to apply structural equation modelling, as it is one of the general and powerful multivariate analysis technique useful to simultaneously analyse and evaluate multivariate hypotheses. Findings The findings showed that GM food consumption by Italian students depended on the knowledge of genetically modified organisms (GMOs) and on the impact of this organisms both on human health and the environment. Therefore, in order to help consumers to choose whether or not to eat GM foods, a standardized evaluation system of human health and environmental consequences produced by GMO and GM foods should be created. In particular, the authors introduced a general framework that could help researchers/users to select and assess a hierarchy of the influence of factors on Italian habits regarding the consumption of GM foodstuffs. Originality/value In this research, the authors propose a structural equation model – full formative measurement model – that allows to define the origins of behaviour towards GM food consumption and to detect the drivers of their purchase. Particularly, the authors showed that GM food consumption depended on the knowledge of GMOs and on the impact of the GMOs on human health and the environment.

Role of brand experience in predicting consumer loyalty

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asif Ali Safeer ◽  
He Yuanqiong ◽  
Muhammad Abrar ◽  
Rizwan Shabbir ◽  
Hafiz Muhammad Wasif Rasheed
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Brand Experience ◽  
Consumer Loyalty ◽  
Content Type ◽  
Global Brands ◽  
Brand Authenticity ◽  
New Research

PurposeThis study investigated the role of brand experience dimensions (behavioral, intellectual, sensory and affective) to predict consumer loyalty (repurchase intention (RPI), word of mouth (WOM) and willingness to pay more (WPM)) through the mediating role of perceived brand authenticity (PBA) in the global branding context.Design/methodology/approachA total of 422 consumers participated in this study and provided feedback on top authentic global brands after completing a self-administered online survey. Partial least squares structural equation modeling (PLS-SEM) was used to conduct the data analysis.FindingsThis study discovered that brand experience dimensions positively influenced PBA (predominantly sensory and intellectual experiences), which significantly predicted consumer loyalty (RPI, WOM and WPM).Research limitations/implicationsThis research uncovered some limitations that can be used to investigate new research possibilities. From a theoretical standpoint, this study offers new insights into brand experience dimensions (BEDs), PBA and consumer loyalty in order to develop consumer-brand relationships.Practical implicationsThis study offered several managerial recommendations. By considering brand authenticity as a positioning tool, global managers can effectively develop and implement various experiential marketing strategies to develop long-term relationships with consumers to attain their loyalty.Originality/valueThis is a new study that uses Fournier's relationship theory to investigate BEDs on PBA to predict consumer loyalty in the context of authentic global brands.

Pleasure and guilt: how do they interplay in luxury consumption?

2017 ◽  
Vol 51 (4) ◽  
pp. 722-747 ◽  
Author(s):  
Chungwha Ki ◽  
Kangbok Lee ◽  
Youn-Kyung Kim
Keyword(s):  
Online Survey ◽  
Consumer Loyalty ◽  
Repurchase Intention ◽  
Luxury Consumption ◽  
Mediation Effects ◽  
Content Type ◽  
Mixed Emotions ◽  
Independent Effects ◽  
Consumer Emotion ◽  
The Relationship

Purpose This paper aims to examine, building upon affect balance theory, whether the two modes of luxury consumption, conspicuous consumption (CC) and style consumption (SC), trigger consumers’ mixed emotions of pleasure and guilt and whether the mixed emotions interactively as well as independently influence consumer loyalty to repurchase luxury. Design/methodology/approach Using an online survey and seemingly unrelated regressions (SUR) analysis, the authors test the hypotheses and assess the parallel (double) mediation effects of pleasure and guilt on the relationships between luxury consumption and repurchase intention. Findings The authors confirm the relationships between CC and pleasure (+), between SC and pleasure (+), between CC and guilt (+) and between SC and guilt (−); the independent effects of pleasure (+) and guilt (−) on repurchase intention (RI); and the interaction effect of pleasure and guilt on RI (+). The authors further demonstrate that both pleasure and guilt mediate the relationship between CC and RI, whereas only pleasure mediates the relationship between SC and RI. Research limitations/implications Future researchers may consider possible mixed emotions other than pleasure and guilt and further explore the dynamics between mixed consumer emotions and consumer loyalty in diverse consumption contexts. Practical implications The authors suggest luxury marketers to reduce consumer guilt by promoting SC and by maximizing consumer pleasure, which will lead to greater repurchase intention. Originality/value Prior research focused on either the positive or negative side of consumer emotion. The authors fill in the research void by examining whether mixed emotions coexist in luxury consumption and how they interplay and influence consumer loyalty.

Engaging leadership in the job demands-resources model

2015 ◽  
Vol 20 (5) ◽  
pp. 446-463 ◽  
Author(s):  
Wilmar B. Schaufeli
Keyword(s):  
Structural Equation ◽  
Work Performance ◽  
Online Survey ◽  
Job Demands ◽  
Well Being ◽  
Organizational Outcomes ◽  
Job Resources ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Content Type

Purpose – The purpose of this paper is to integrate leadership into the job demands-resources (JD-R) model. Based on self-determination theory, it was argued that engaging leaders who inspire, strengthen, and connect their followers would reduce employee’s levels of burnout and increase their levels of work engagement. Design/methodology/approach – An online survey was conducted among a representative sample of the Dutch workforce (n=1,213) and the research model was tested using structural equation modeling. Findings – It appeared that leadership only had an indirect effect on burnout and engagement – via job demands and job resources – but not a direct effect. Moreover, leadership also had a direct relationship with organizational outcomes such as employability, performance, and commitment. Research limitations/implications – The study used a cross-sectional design and all variables were based on self-reports. Hence, results should be replicated in a longitudinal study and using more objective measures (e.g. for work performance). Practical implications – Since engaged leaders, who inspire, strengthen, and connect their followers, provide a work context in which employees thrive, organizations are well advised to promote engaging leadership. Social implications – Leadership seems to be a crucial factor which has an indirect impact – via job demands and job resources – on employee well-being. Originality/value – The study demonstrates that engaging leadership can be integrated into the JD-R framework.

Correcting Misperceptions About Genetically Modified Food on Social Media: Examining the Impact of Experts, Social Media Heuristics, and the Gateway Belief Model

2020 ◽  
pp. 107554702098137
Author(s):  
Leticia Bode ◽  
Emily K. Vraga ◽  
Melissa Tully
Keyword(s):  
Social Media ◽  
Food Safety ◽  
Genetically Modified ◽  
Human Consumption ◽  
Genetically Modified Food ◽  
The Public ◽  
Scientific Consensus ◽  
Gm Food ◽  
Belief Model ◽  
The Impact

We experimentally test whether expert organizations on social media can correct misperceptions of the scientific consensus on the safety of genetically modified (GM) food for human consumption, as well as what role social media cues, in the form of “likes,” play in that process. We find expert organizations highlighting scientific consensus on GM food safety reduces consensus misperceptions among the public, leading to lower GM misperceptions and boosting related consumption behaviors in line with the gateway belief model. Expert organizations’ credibility may increase as a result of correction, but popularity cues do not seem to affect misperceptions or credibility.

User experience sharing

2018 ◽  
Vol 52 (5/6) ◽  
pp. 1154-1184 ◽  
Author(s):  
Tom Chen ◽  
Judy Drennan ◽  
Lynda Andrews ◽  
Linda D. Hollebeek
Keyword(s):  
User Experience ◽  
Online Communities ◽  
Structural Equation ◽  
Online Survey ◽  
Mobile App ◽  
Equation Modeling ◽  
Content Type ◽  
Key Driver ◽  
The Relationship ◽  
Level Of Effort

PurposeThis paper aims to propose user experience sharing (UES) as a customer-based initiation of value co-creation pertaining to service provision, which represents customers’ level of effort made for the direct benefit of others in their service network. The authors propose and empirically examine a user experience sharing model (UESM) that explicates customer-to-customer (C2C) UES and its impacts on firm-desired customer-based outcomes in online communities.Design/methodology/ApproachBased on an extensive review, the authors conceptualize UES and UESM. By using online survey data collected from mobile app users in organic online communities, the authors performed structural equation modeling analyses by using AMOS 24.FindingsThe results support the proposed UESM, showing that C2C UES acts as a key driver of both firm-desired customer efforts and customer insights. The results also confirmed that service-dominant (S-D) logic-informed motivational drivers exert a significant impact on C2C UES. Importantly, C2C UES mediates the relationship between S-D logic-informed motivational drivers and firm-desired customer-based outcomes.Originality/valueThis study offers a pioneering attempt to develop an overarching concept, UES, which reflects customers’ initiation of value co-creation, and to empirically examine C2C UES. The empirical evidence supports the key contention that firms should proactively facilitate C2C UES.

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