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The purpose of this chapter is to explore the mediating effect of consumer attitude towards purchasing organic food and moderating effect of consumer innovativeness on the intention to purchase organic food. A consumer survey was conducted with a specific focus on buyers of organic food products in Bosnia and Herzegovina. Data were collected during December 2016 via an online survey, eventually obtaining 173 valid questionnaires for analysis. The indirect effect of organic food knowledge, subjective norm, personal norm, organic food availability, attitude towards organic food and organic food scepticism on intention to purchase organic food was tested using the PROCESS Macro in SPSS. The results revealed that organic food knowledge, subjective norm, personal norm, attitude towards organic food have indirect effects on consumer intention to purchase organic food. Moreover, findings suggest that attitude towards organic food purchase mediates the link between these four factors and consumer’s intention to purchase organic food. In addition, it was proven that consumer innovativeness positively moderates the attitude-purchase intention link in the context of organic food consumption. This chapter enhances the external validity of previous empirical findings beyond the Western European context. Further, it provides some important guidelines to the retailers to develop and implement marketing strategies for organic food products.

Organizational Development and Change (ODC) has been called to aid organizational greening goals. Carbon labeling of products by organizations is a common greening strategy. However, its effectiveness is dependent on supportive consumer behavior. The Theory of Planned Behavior (TPB) is used to explain actor choice in buying low carbon products (LCPs). Actual buying behavior of 873 subjects in China, a country new to carbon labeling, demonstrated that Declarative norms, Attitude, and Perceived behavioral control explained significant variance in actual buying behavior of LCPs. The TPB model may be better served by observing actual behavior versus behavioral intention. Revisions to the TPB model for diagnosis and interventions in behavioral change are indicated. ODC should revert to theoretically informed practice versus the increasing reliance on A-theoretical tools and techniques.

This study attempts to investigate how electronic Word-of-Mouth (eWOM), consisting of (1) opinion seeking, (2) opinion giving, and (3) opinion passing, influences consumers’ purchasing intentions for tourism services on Social Networking Sites (SNSs). Two hundred and seventy three American college students participate in a self-administered survey concerning their use of SNSs and ways of making online recommendations. Based on four hierarchical regression analyses, this study finds that both opinion seeking and opinion passing significantly influence respondents’ purchasing intentions. Additionally, time spent on SNS use reveals a positive relationship with opinion seeking and opinion passing. The conclusion of the present study highlights the eWOM as a cost-effective communication tool for tourism marketing and renders practical and theoretical implications along with suggestions for future research.

Retail marketing is in the midst of an evolution. The paradigm is shifting from a product-centric to a consumer-centric focus, with a particular emphasis on understanding how consumers transition from harboring an interest in a product to actually purchasing that product. In response, shopper marketing, and in-store marketing (ISM) in particular, have emerged as important mechanisms to influence shopper behavior in brick & mortar and online retail environments. The academic literature is replete with work on what factors of ISM influence shopper behavior. In this chapter, we categorize prominent streams of findings on ISM into firm, customer, competitor and product characteristics of ISM and examine how the notion of a “store” is evolving from bricks to clicks – namely from physical formats to online shopping experiences. Insights from this chapter will help retailers and store managers identify what their customers respond to within a physical store, how technology is changing the way they can capture information on customers, and how shopper behavior is evolving in response to brick & mortar and online retail environments.

Nowadays companies are constantly changing their retail settings and strategies to keep up with technological developments and consumer needs. Digital transformation enabled one’s shopping experience to be more efficient in terms of money, time, physical effort and other elements that determine the price a consumer has to pay. Channels of communication and distribution have evolved, increased in number and also became integrated. Mobile devices, mobile applications and location services help consumers in their shopping journey. These developments have led us to a new concept called omni-channel management. In theory, the omni-channel refers to a single and unified channel experience with multiple touchpoints, which include physical stores, online stores and direct marketing; mass communication channels (television, radio, print media, C2C, etc.), online channels (social media, search engines, comparison sites, e-mail, display etc.) and mobile channels (SMS, branded apps, etc.). Some examples of omni-channel practices are click-reserve, click-collect, tablets as in-store sales tools, in-store product order through mobile apps, etc.

In this chapter, the latest trends in marketing channels are discussed with enabling digital technologies and relevant success factors. Challenges and opportunities in implementing omni-channel strategies and several omni-channel initiatives from Turkey are reported.

A research was employed to present consumers’ preferences of touchpoints/channels for search, payment and delivery, and to find out the drivers that lead consumers to use more than one channel simultaneously and/or interchangeably in a buying process. The results will guide the readers to understand consumer behaviour in the new omni-channel world.

In this paper, we develop four models to investigate the role of intentions (stated and true) and explanatory variables in forecasting purchase based on the social psychology view that true intentions determine purchase behavior. We found that a weighted average of stated intentions together with the complementary FED variables are powerful indicators of future purchase behavior. For intention survey designers, these results imply that a conversion scale is needed to convert stated intentions to true intentions and intentions questions would yield more useful information if it is formulated in terms of probabilities rather than in terms of yes/no answers.

The purpose of this investigation is to examine the explanatory powers of a consumer complicity framework that uses counterfeit products and five emerging country markets (Brazil, Russia, India, and China). A web survey was administered to 1,600 consumers in Brazil, Russia, India, and China to test whether demographics, national origin, perceived quality, price, and a hedonic shopping environment predicted consumers' complicity in these emerging markets. Overall, the results found little support for either demographics or national origin to predict this type of illicit consumption. The best predictive variables were perceived quality, price, and hedonic shopping experience. The study concludes with a model that incorporates these results and suggests that future research employ demarketing tactics using both cognitive dissonance and expected utility theories to obtain a more holistic view for curbing complicity that goes beyond product attributes and the shopping environment.

Online retailing is continuing to grow at a time with many fashion brands are closing retail stores. Social media is now an essential component within the purchase journey of a fashion consumer. As social media networks continue to develop transactional capabilities, this has giving rise to the expansion of social shopping. Fashion brands need to consider how best to optimise social shopping opportunities as an extension of the retail shopping experience. Reviewing developments within retailing, a conceptual model of social shopping is proposed, which places mobile technologies as central to the social shopping experience both on social media and in store.