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This study aims to investigate the effectiveness of two types of social media videos used for destination image development: induced/commercial-oriented content and organic content (where content is made without commercial interest, such as vlogs classified as user-generated content).

Experimental research using “Emotive EEG” (electroencephalogram) in a controlled environment was conducted with 30 participants (20 males, 10 females), age range 18 to 26. Emotive EEG recording was performed while the participants watched both types of video clips. Test results for both groups indicate that induced content is preferred over organic content.

This study opens up future research avenues where neuromarketing’s “Marketer Friendly” EEG equipment can be applied to the customer selection process.

Marketing analysts can gauge the interest and response of customers on different types of social media video content for destination marketing based on the findings of this study.

The study aimed to investigate consumers’ views on criteria to be claimed for organic processed foods and information to be communicated.

An online survey was carried out among 439 adults living in Italy, users of processed organic food, to gather opinions on criteria that processing of organic food should meet and on the terms that best define “careful” processing. Next, a conjoint design was applied to examine the effects of five independent factors on consumers' ideal concept of “organic”; these were potential information on packaging, processing, additives and product quality, and the type of food product. Three products with different processing level were selected: an ultra-processed and multi-ingredient product (vegetable burger), a processed product preserved by canning (peas in glass jar) and a minimally processed product (bagged salad).

The findings highlight that consumers attach more importance to the organic food carrier than the informational messages. Information on the processing and packaging follows, with messages on quality and on additives seemingly of minor importance. Three clusters of respondents were identified: those driven primarily by the type of organic food (24.6%), those placing more emphasis on product processing (21.3%), and a third larger cluster (54.1%) who expressed almost equal importance to all the factors considered. As for the processing of organic products, “eco-friendly” was the best message.

This paper offers insights into what best outlines the ideal concept of “processed organic food” as seen by organic food consumers, to be communicated to better guide their purchasing decisions.

This study aims to uncover marketing strategies to restore a positive image in times of pandemic crisis to bring tourists back to a popularly affected tourism city in China, Wuhan in Hubei Province. The paper argues that the process of restoring city image requires understanding the perceptions of Generation Z, a segment of the population who have a high propensity to travel after COVID-19.

This study employed a constructivist grounded theory approach to explore the perspectives of China’s Generation Z consumers of Wuhan’s future image to restart tourism. The data is collected through semi-structured interview of 29 respondents and analyzed with the initial, focused and theoretical coding process.

Start by narrowing the gap between projected and perceived image, the findings suggest that Generation Z could be pulled to visit Wuhan city through four core products such as dark tourism activities, special-interest leisure, heroism and storytelling.

The destination image restoration framework after health-related crisis is creatively proposed. It combines the analysis of crisis and urban characteristics from the perspective of the target audience (Generation Z) and provides specific strategies to restore the tourism city image from cognitive, affective and conative dimensions. Significantly, two novel characteristics of Generation Z (i.e. lighthearted and patriotic) emerge in addition to the typical features of this generational cohort. This study also found a high preference for a technologically oriented type of attraction that reverses the morbid COVID-19 memories into an entertainment tool.

This research examines consumer reluctance to purchase organic food using the theory of innovation resistance and also extends the theory by investigating the moderating influence of eco-literacy. In addition, the authors used a multigroup analysis to identify differences between consumer segments.

Data collection used computer-assisted web interviewing and a prior screening process to confirm engagement. Through stratified quota sampling, 1,000 useable responses were obtained from 2,887 recipients.

The findings reveal barriers are significant inhibitors to adopting organic food. Among these barriers, usage, risk tradition and image barriers have a significant adverse influence on purchase intention. In contrast, the value barrier has a nonsignificant influence on the purchase intention of organic food. However, the study found that eco-literacy significantly reduces the negative influence of risk and tradition barriers on consumers' intentions. In addition, a multigroup analysis examines notable differences between consumer groups based on education, age and income.

This research has significant social implications for boosting sustainable consumption in Lithuania. It identifies key barriers to organic food adoption, emphasizing the need for strategic interventions. The study highlights eco-literacy as an essential tool in diminishing resistance to organic food, advocating for targeted educational initiatives. Additionally, it reveals the importance of tailored marketing strategies based on different consumer demographics. Overall, this study provides important insights to promote environmentally conscious consumer behavior and overcome resistance to innovation in the organic food sector.

This study expressively advances the understanding of intentional behavior by exploring organic food within Lithuania's Baltic economy. It authenticates the innovation resistance theory's applicability to organic food behavior in the region while emphasizing the moderating impact of eco-literacy in the link between barriers and purchase intention concerning organic food. Furthermore, using advanced methods such as partial least squares statistical modeling and multi-group analysis, the research reveals how barriers affect the purchase intention of organic food among different groups of consumers.

The study seeks to analyze the influence of sensory experience on perceived environmental sustainability and word-of-mouth (WOM) of tourists and residents. The study also tests the moderation effect of satisfaction on the relationship between perceived environmental sustainability and WOM.

The study was conducted in Sikkim, a state in the northeastern part of India, which is regarded as the world's first organic state. The study was done in two phases. In the first phase, the data were collected from the tourists. And in the second phase, data were collected from the residents. A structured questionnaire was distributed to 700 tourists and residents in Sikkim. Out of these only 484 responses were considered for the study. Multivariate analyses were done using SPSS software and packages like Process Macro, and Amos to test the hypotheses.

The findings of the study indicated that sensory experience significantly influences perceived environmental sustainability and WOM. The study model fit with GFI = 0.955, CFI = 0.946 NFI = 0.929 and RMSEA = 0.07. The findings also indicate that satisfaction moderates the relation between sensory experience and word-of-mouth with a p value = 0.018.

The study was conducted in Sikkim and it used a convenience sampling method. Therefore, the study cannot be generalized.

An emphasis on building an organic brand image can positively impact the local community. A study of this kind will encourage the community to work toward sustainable development.

The study is unique as it explores the evaluation of destination environmental sustainability. And it is one of the first to test the impact of satisfaction in the relationship between the independent and dependent variables in the context of the tourism experience.

The landscape of search engine usage has evolved since the last known data were used to calculate click-through rate (CTR) values. The objective was to provide a replicable method for accessing data from the Google search engine using programmatic access and calculating CTR values from the retrieved data to show how the CTRs have changed since the last studies were published.

In this study, the authors present the estimated CTR values in organic search results based on actual clicks and impressions data, and establish a protocol for collecting this data using Google programmatic access. For this study, the authors collected data on 416,386 clicks, 31,648,226 impressions and 8,861,416 daily queries.

The results show that CTRs have decreased from previously reported values in both academic research and industry benchmarks. The estimates indicate that the top-ranked result in Google's organic search results features a CTR of 9.28%, followed by 5.82 and 3.11% for positions two and three, respectively. The authors also demonstrate that CTRs vary across various types of devices. On desktop devices, the CTR decreases steadily with each lower ranking position. On smartphones, the CTR starts high but decreases rapidly, with an unprecedented increase from position 13 onwards. Tablets have the lowest and most variable CTR values.

The theoretical implications include the generation of a current dataset on search engine results and user behavior, made available to the research community, creation of a unique methodology for generating new datasets and presenting the updated information on CTR trends. The managerial implications include the establishment of the need for businesses to focus on optimizing other forms of Google search results in addition to organic text results, and the possibility of application of this study's methodology to determine CTRs for their own websites.

This study provides a novel method to access real CTR data and estimates current CTRs for top organic Google search results, categorized by device.

Using the behavioural perspective as a theoretical complement of rational models, this paper examines factors that influence the decision of producing organic wines.

Based on a quantitative analysis of 687 wineries belonging to Denomination of Origin in Spain, the authors empirically examine the sequential relationships between manager's personality and winery and institutional level factors, on organic wine production activity and winery export performance.

This paper investigates the direct and indirect sequential relationships between wineries' factors including an organic production activity and two dimensions of export performance, namely: volume-based and value-based performance. The results of a sequential model provide evidence that openness to experience, a manager's personality trait, has a positive causal relationship with organic wine production.

This paper offers richer insights into the factors leading wine production managers to change from conventional to organic production methods. Specifically, the study shows that wine production managers are susceptible to make decisions to whether produce organic wine or not that may not be consistent with the current theoretical models based on economic efficiency (i.e. comparing costs and benefits). Instead, these decisions are, in part, based on their personality traits. Future research could study how the functional attribute affects the willingness to produce organic wines.

This study contributes to a new strategic implication of organic wine production activity and export performance linkage in behavioural and traditional theoretical perspectives. These findings are valuable for policy makers in the wine sector, as they can better inform and guide policies directed to identify organic production support programs.

This study aims to identify and describe the relationships among sensory-driven pleasure, cognition-driven pleasure, symbolic-driven pleasure and organic food purchase behavior considering the moderating effects of functionality trust and authenticity trust from the viewpoint of the theory of planned behavior (TPB).

Data were collected using a structured questionnaire survey in first-tier cities in China. A total of 352 consumers of organic foods participated in the study. Structural equation modeling and hierarchical regression analysis were employed for data analysis.

The results indicated the significant association of perceived behavioral control, subjective norm, attitude, sensory-driven pleasure and cognition-driven pleasure with purchase intention. Perceived behavioral control and purchase intention had significantly positive effects on purchase behavior. Moreover, functionality trust had a positive moderating effect on purchase intention and purchase behavior.

This study not only provides novel and original insights for understanding organic consumption but also provides a reference for organic producers, sellers and policymakers to develop effective strategies to guide organic consumption that are conducive to promoting sustainable consumption.

For the first time, this research introduces the construct of food pleasure into the TPB to explore the relationships between food pleasure and purchase behavior based on the TPB. It may expand the scope of the TPB and provide valuable insights regarding how to improve the existing intention–behavior gap in organic consumption.

This study aims to identify the decision-making process involved in the purchase of organic wine from consumer values to attitudes to behavioural intention towards organic wine via the value–attitude–behaviour (VAB) model. Involvement in wine is also taken into consideration.

The data were collected using a snowball sampling method and a closed-ended questionnaire. A total of 209 responses were analysed. Linear regression and PROCESS Macro on SPSS were used to perform data analysis.

Both biospheric-altruistic values and egoistic values are positively associated with attitudes towards organic wine. Attitude is found to mediate the relationship between biospheric-altruistic/egoistic values and behavioural intention. Egoistic values are found to significantly predict behavioural intention in the organic wine purchase context. Involvement was found to moderate the relationship between egoistic values and attitudinal loyalty.

This study identifies the decision-making hierarchy from consumer values to attitudes to behavioural intention, theoretically confirming the robustness of the VAB model in the organic wine consumption context. It also makes a practical contribution by indicating the marketing emphasis of organic wine and segmenting potential consumers according to their values and levels of wine involvement.

Farmers in India are hesitant to adopt organic farming (OF) despite high demand for organic products and favorable policy measures to encourage the practice. Therefore, this study aims to assess the OF adoption barriers faced by Indian farmers using a systematic method of multi-criteria decision making (MCDM).

The authors explored eighteen barriers to OF adoption by conducting a literature survey and discussion with experts on OF. Then the authors used a combined method of Grey Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) methodology to rank the barriers and analyze their interactions.

The analysis reveals that “Lack of knowledge and information,” “lack of financial capacity of farmers’ and “lack of institutional support” are the cause (independent) barriers that significantly impact other barriers. The top three effect (dependent) barriers are “lack of availability of organic inputs,” “personal characteristics such as age, attitudes and beliefs” and “lack of premium pricing,” which are affected by the other barriers.

This research work will help the decision makers understand the barriers to OF adoption in India and their interrelationships. The proposed framework enables them to focus on the high-priority independent barriers, which will subsequently impact the other dependent barriers.

Previous research on OF adoption barriers lacked a multifaceted scientific approach, which is necessary because OF is a complex system and needs a thorough investigation to assess the interaction between the barriers. The research attempts to fill this gap and addresses the complex nature of adoption barriers.