Search results

The purpose of this study is to examine how subjective knowledge about fair trade products and the perceived trustworthiness of information about fair trade goods influence purchase intention and reported purchase behaviour across two product categories, namely, fashion and food.

Data were collected from an online survey with a sample of 1,616 consumers in four European countries, namely, Germany, Italy, Austria and the UK.

The results show that subjective knowledge moderates the positive relationship between intentions to purchase and reported purchase behaviour of fair trade products, however, the moderating role of perceived information trustworthiness was not significant. Furthermore, both the intention to purchase and reported purchase behaviour are significantly lower for fair trade fashion products than for fair trade food products.

This paper shows how fair trade consumption behaviour is mainly influenced by subjective knowledge about fair trade products. It reveals existing differences in both the buying intentions and reported purchase behaviour in different European markets.

This research broadens the understanding of consumers’ fair trade consumption behaviour across two different product categories and four different countries, with a focus on the interaction effect of consumers’ subjective knowledge and information trustworthiness.

The purpose of this study is to examine how consumer personality trait impulsiveness influences trustworthiness evaluations of online-offers with different trust-assuring and trust-reducing elements by measuring the brain activity of consumers. Shoppers with high degrees of impulsiveness are referred to as hedonic shoppers, and those with low degrees are referred to as prudent consumers.

To investigate the differences between neural processes in the brains of hedonic and prudent shoppers during the trustworthiness evaluation of online-offers, the present study used functional magnetic resonance imaging (fMRI) and region-of-interest analysis to correlate neural activity patterns with behavioral measures of the study participants.

Drawing upon literature reviews on the neural correlates of both trust in online settings and consumer impulsiveness and using an experimental design that links behavioral and fMRI data, the study shows that consumer impulsiveness can exert a significant influence on the evaluation of online-offers. With regard to brain activation, both groups (hedonic and prudent shoppers) exhibit similar neural activation tendencies, but differences exist in the magnitude of activation patterns in brain regions that are closely related to trust and impulsiveness such as the dorsal striatum, anterior cingulate, the dorsolateral prefrontal cortex and the insula cortex.

The data provide evidence that consumers within the hedonic group evaluate online-offers differently with regard to their trustworthiness compared to the prudent group, and that these differences in evaluation are rooted in neural activation differences in the shoppers’ brains.

Marketers need to be made aware of the fact that neurological insights can be used for market segmentation, because consumers’ decision-making processes help explain behavioral outcomes (here, trustworthiness evaluations of online-offers). In addition, consumers can learn from an advanced understanding of their brain functions during decision-making and their relation to personal traits such as impulsiveness.

Considering the importance of trust in online shopping, as well as the fact that personality traits such as impulsiveness influence the purchase process to a high degree, this study is the first to systematically investigate the interplay of online trustworthiness perceptions and differences in consumer impulsiveness with neuroscientific methods.

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.

The study is based on an online survey consisting of 409 participants, and the data are analyzed using structural equation modeling.

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.

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.

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.

Though prior research has addressed customer engagement (CE) with a focal object (e.g. a brand), the dynamics characterizing customers' engagement with different objects and the potential spillover from a customer's engagement with one object to that with another remains tenuous, exposing an important literature-based gap. The authors, therefore, develop a model proposing the existence of a spillover effect from customers' brand engagement to their engagement with brand-related content and suggest customers' personality trait of conscientiousness to moderate this effect.

An online survey-based experiment using 380 Danish Facebook users was conducted to test the model.

The results suggest customers' brand engagement as a significant predictor of their engagement with brand-related content, corroborating the proposed spillover effect. A weaker spillover effect is observed for highly (vs less) conscientious customers, substantiating the moderating role of customer conscientiousness. Moreover, customer conscientiousness is found to interact with brand content-related (i.e. commenting/content creation) task type and brand type (i.e. utilitarian/hedonic) (e.g. more conscientious customers are less likely to engage in brand-related content creation vs. commenting tasks), weakening the spillover effect.

This study extends prior research by quantitatively corroborating an intra-individual CE-based spillover effect from customers' brand engagement to their engagement with brand-related content. The authors also unearth a moderating role of customer conscientiousness, which interacts with brand- and brand content-related task type, on the spillover effect, informing the development of digital marketing strategies.

Draws on Neo‐Weberian theory to argue that commodification is itself a cultural process, whilst not discounting the potentially negative effect of commercialisation. Examines product conception in the early US recording industry citing three disparate periods. Shows that in the late 1870s, recording firms sold and leased phonographs to entrepreneurs for public exhibitions, the the late 1880s firms leased phonographs and graphophones for dictation purpose and in the 1890s, firms exploited the phonograph by offering musical recordings. Concludes that structural power helped shape the product concepts of the industry.

The purpose of the paper is to propose a reference model describing a holistic view of the master data lifecycle, including strategic, tactical and operational aspects. The Master Data Lifecycle Management (MDLM) map provides a structured approach to analyze the master data lifecycle.

Embedded in a design oriented research process, the paper applies the Component Business Model (CBM) method and suggests a reference model which identifies the business components required to manage the master data lifecycle. CBM is a patented IBM method to analyze the key components of a business domain. The paper uses a participative case study to evaluate the suggested model.

Based on a participative case study, the paper shows how the reference model makes it possible to analyze the master data lifecycle on a strategic, a tactical and an operational level, and how it helps identify areas of improvement.

The paper presents design work and a participative case study. The reference model is grounded in existing literature and represents a comprehensive framework forming the foundation for future analysis of the master data lifecycle. Furthermore, the model represents an abstraction of an organization's master data lifecycle. Hence, it forms a “theory for designing”. More research is needed in order to more thoroughly evaluate the presented model in a variety of real‐life settings.

The paper shows how the reference model enables practitioners to analyze the master data lifecycle and how it helps identify areas of improvement.

The paper reports on an attempt to establish a holistic view of the master data lifecycle, including strategic, tactical and operational aspects, in order to provide more comprehensive support for its analysis and improvement.

During the last few years the prevalence of autism and Autism Spectrum Disorder (ASD) has increased greatly. A recurring issue is the overlap and boundaries between Intellectual Developmental Disorder (IDD), ASD and Schizophrenia Spectrum Disorders (SSD). In clinical practice with people with IDD, the alternative or adjunctive diagnosis of ASD or SSD is particularly challenging. The purpose of this paper is to define the boundaries and overlapping clinical characteristics of IDD, ASD and SSD; highlight the most relevant differences in clinical presentation; and provide a clinical framework within which to recognize the impact of IDD and ASD in the diagnosis of SSD.

A systematic mapping of the international literature was conducted on the basis of the following questions: first, what are considered to be core and overlapping aspects of IDD, ASD and SSD; second, what are the main issues in clinical practice; and third, can key diagnostic flags be identified to assist in differentiating between the three diagnostic categories?

Crucial clinical aspects for the differentiation resulted to be age of onset, interest towards others, main positive symptoms, and anatomical anomalies of the central nervous system. More robust diagnostic criteria and semeiological references are desirable.

The present literature mapping provides a comprehensive description of the most relevant differences in the clinical presentation of ASD and SSD in persons with IDD.