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In this paper, we provide a simple conceptual framework with empirical analysis to investigate the effect of product attributes and e-vendor characteristics that are potentially included in the online shopper’s information search on their online shopping behavior in China.

This paper examines consumers’ online shopping frequency for food/grocery using an ordered logit model and for fresh food (a subcategory of food/grocery) using a two-part model, considering product attributes, e-vendor characteristics, and consumer perceptions and characteristics.

The results show that product origin is an influencing factor in shopping for fresh food online, reflecting consumers’ growing interests in imported food or specialty food from other areas. Consumers are more likely to shop online for fresh food if they perceive online shopping as having a price advantage. But consumers who view price as a top factor are less likely to buy fresh food online frequently. Thus competitive prices might be a motive for online fresh food shopping, but consumers concerned about price do not necessarily shop frequently. Negative perceptions of product freshness reduce consumers’ likelihood and frequency of shopping for fresh food online. Concerns on food quality and e-vendors’ credibility prevent consumers from frequently shopping for fresh food online. Social and demographic characteristics also influence consumers’ decisions.

This paper provides a better understanding of consumer’s online grocery shopping preferences and sheds light on policy and regulation design and implementation in the e-commerce industry, which will ultimately protect and benefit consumers.

Purpose – Extensive research in the area of consumer behavior has documented the “Country of Origin Effect,” which identifies country of origin as an important decision variable in evaluating products and services. Past research has mostly assumed that country of origin effect is driven by the performance of the products originating in that country. However, consumers can also form opinions about countries based on exposure to information that is unrelated to the product and may have roots in macro factors such as history, culture, and politics. These emotions, while extraneous to the product, can also influence product evaluations along with performance-related country information.Design/methodology/approach – This review examines research addressing both performance and emotional perceptions related to country of origin.Findings – This review presents an integrating framework termed “Nation Equity” to systematically understand and examine the influence of various dimensions of country of origin on consumer decision making.

Organizations increasingly manage innovation projects jointly with suppliers to use external resources to fill internal competencies. However, little is known about the practices of how companies configure internal and external resources to enhance competitiveness. Drawing on resource orchestration theory, this study aims to propose a novel approach to explain organizational performance using purchasing orchestration (PO) as an antecedent. The paper then tests an empirical model to assess the impact of PO practices on innovation and financial performance.

Cross-sectional survey data from 247 supply chain managers are used to test hypotheses relating PO to performance. SPSS PROCESS is applied to test conditional direct and indirect effects.

The positive impact of PO practices on innovation and financial performance is confirmed. Results indicate an organization’s entrepreneurial orientation (EO) can strengthen the positive relationship between PO and financial performance. Structuring, bundling and leveraging external resources are introduced as new organizational capabilities.

This research is based on cross-sectional data, and unidimensional constructs are used.

This research guides managers on the innovation process in light of the growing importance of external resources. The manuscript highlights the role of strategic purchasing in establishing new resource capabilities as a competitive advantage.

This research provides new insights into the relationship between purchasing practices and organizational performance and helps better understand the implications of orchestrating supply chain resources. A novel construct, PO, is introduced as a theoretical basis for studying supply chain-enabled innovation.

The purpose of this paper is to understand the effect of platform characteristics (i.e. media richness and interactivity) on individual perception (i.e. outcome expectations) and consequent behavioral response (i.e. user participation in online health communities (OHCs)) based on the stimulus-organism-response (S-O-R) model.

This study developed a research model to test the proposed hypotheses, and the proposed model was tested using partial least squares structural equation modeling (PLS-SEM) for which data were collected from 321 users with OHC experience using an online survey.

The empirical results show the following: (1) the three dimensions of media richness significantly affect the three outcome expectations, except that richness of expression has no significant effect on the outcome expectation of health self-management competence. (2) Human-to-human interaction significantly affects the three outcome expectations. Moreover, compared with human-to-human interaction, human-to-system interaction has a stronger impact on the outcome expectation of health self-management competence. (3) The three outcome expectations have a significant influence on user participation in OHCs.

This study extends the understanding about how platform characteristics (i.e. media richness and interactivity) motivate user participation in the context of OHCs. Drawing on the S-O-R model, this study reveals the underlying mechanisms by which media richness and interactivity are associated with outcome expectations and by which outcome expectations is associated with user participation in OHCs. This study enriches the literature on media richness, interactivity, outcome expectations and user participation in OHCs, providing insights for developers and administrators of OHCs.