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This research reviews numerous studies of the relationship between consumer knowledge and external search in conventional marketing channels to investigate differences among these studies that have produced conflicting results. The findings provide a benchmark for future researchers and practitioners seeking to gain insight into consumer information search processes unfolding in the new environment of online, mobile, and social networking channels.

A meta-analysis of an extensive array of empirical studies of the relationship between consumer knowledge and external information search was conducted. Regression analysis was used to test whether certain characteristics in the studies can explain variability in the effect sizes in which effect sizes are entered as dependent variables and moderators as independent variables.

Objective and subjective knowledge tend to increase search, while direct experience tends to reduce search. Consumers with higher objective knowledge search more when pursuing credence products. However, they search relatively less when pursuing search products. Consumers with higher subjective knowledge are much more likely to search in the context of experience products, but as is the case for objective knowledge having little effect on search for experience products, subjective knowledge has no significant effect on information seeking for search products. In addition, objective knowledge facilitates more information search in a complex decision-making context while higher subjective knowledge fosters more external information search in a simple decision-marketing context. Finally, the findings indicate that the knowledge search relationship reflects strong linkage in the pre-Internet era.

Relatively little is known about how the relationship between knowledge and information search varies across different types of products in simple or complex decision-making contexts. This study begins to fill this gap by providing insight into the relative importance of objective knowledge, subjective knowledge, and direct experience in influencing consumer information search activities for search, experience, and credence products in simple or complex decision-making contexts.

We review the implications of the mobile technology for different stages of the consumer path to purchase including awareness, search, evaluation, store visit, and product choice. Real-time and location-specific access to information and products are identified as distinguishing characteristics of mobile devices. While the literature on digital marketing is well developed, knowledge of the effects on the consumer path to purchase in the presence of dynamic and location-specific information is still scarce. Path to purchase models need to recognize the central and powerful role of user-generated content. Better management of marketing resources would require models that connect investments in mobile marketing to sales, and also model the synergies among different digital and offline media. We conclude with a framework that connects mobile media impressions to product choice, in the presence of other marketing media, and consumer and firm feedback loops.

The level of trust in a service provider is an important decision factor when buying industrial services. Especially, the outcome uncertainties of services, its individuality, and asymmetric information between buyer and seller are some reasons that the evaluation of trust is a key component in service trading. Consequently, searching of potential new suppliers involves examining providers’ trustworthiness. This paper focuses on the study of online trust signals used by buyers, to assess provider’s trustworthiness in the context of industrial services. The main research objective is to propose the basis for a digital tool, which helps buyers to assess provider’s trustworthiness by providing a “standardized trustworthiness signal description” and “trust functionalities.” A particular approach is used, wherein different methods are mixed such as a case study, expert interviews, and a quantitative method following the guideline of the design science paradigm. The aim is to propose a useful tool for trustworthiness assessment to enhance e-markets for industrial services.

Data has become one of the most significant instruments in e-commerce innovation. Benefits to the entire society can be summarized as following: from the government’s perspective - to assess the impact of e-commerce to the economy; for merchants - to understand consumers’ needs; and for consumers - to be offered with the right product he/she is looking for. The digital revolution in the past five years has shown the need to offer more differentiated services than the physical stores, when consumers are not able to try and touch products. It is for this reason that e-commerce has continuously developed and transformed Research Online, Purchase Offline into a true experience. Considering the future of e-commerce is to enhance economic development and growth, this research will discuss the disruption of Research and Development through big data. The core objective of this research is to propose a predictive model to deeply understand consumer behavior by analyzing new regulations and transaction records.

With expenditures totaling $227 billion in 2007, prescription drug purchases are a growing portion of the total medical expenditure, and as this industry continues to grow, prescription drugs will continue to be a critical part of the larger health care industry. This chapter presents a survey on the economics of the US pharmaceutical industry, with a focus on the role of R&D and marketing, the determinants (and complications) of prescription drug pricing, and various aspects of consumer behavior specific to this industry, such as prescription drug regulation, the patient's interaction with the physician, and insurance coverage. This chapter also provides background in areas not often considered in the economics literature, such as the role of pharmacy benefit managers in prescription drug prices and the differentiation between alternative measures of prescription drug prices.

The stable and predictable agricultural, infrastructure, manufacturing, and energy economies of hard products have been followed by economies that offer softer products such as services, information, knowledge, health care, digitization, networking, globalization, entertainment, sustainability, and currently, well-being and happiness. Such soft market products are loaded with buyer–seller information asymmetries (BSIA) that create market risk, market uncertainty, market chaos, and ambiguity – all of which are specific types of market turbulence. In this context, this chapter investigates the phenomena of turbulence, specifically environmental turbulence whose major subsets are technological turbulence and market turbulence. We cite several recent geopolitical variables and events that have aggravated market turbulence such as Chinese economic invasion of global markets, global climate change, Brexit, international asylum-seeking migrations, artificial intelligence, and demonetization. We also define market turbulence as varied forms of BSIA for which both marketers and consumers must have appropriate joint responsibility. In addition, we focus on ethical and moral marketing responsibilities for reducing BSIA under each type of turbulence.