If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.Abstract As the number of Internet purchases of fashion items increases, the problem of inaccurate color representation on the Web becomes more significant. Color inaccuracy has many negative consequences for marketers, including loss of sales, increased returns and complaints, and customer defections. This research reports the findings of a survey conducted as part of an initial investigation into consumer opinions about fashion merchandise purchasing over the Internet. Results indicate that companies are losing customers and sales as a result of having colors on e-commerce sites that do not accurately represent the actual colors of the products being sold. Increased dissatisfaction on the part of consumers leads to greater costs in both customer service and reverse logistics. Further, a majority of the respondents indicated that they would not make additional purchases from an e-tailer if they received items in colors different than they expected. The paper concludes with suggestions for future research.
This paper examines the connection between environmental scanning for market intelligence, organizational culture and generic strategies. The generic strategies, based on the Miles and Snow typology, are related to the organizational culture types developed by Deshpande et al. An enhanced model of the one proposed by Deshpande et al. is presented. By providing a more complete model, it is possible to more accurately represent an organization’s interaction with its environment with respect to its generic strategy and scanning approach. Propositions are presented pertaining to the type of scanning approach utilized by organizations in each quadrant. The paper concludes with planning implications for each quadrant.
Purpose – This paper proposes enhancing libraries to act as knowledge management centers for small businesses, providing both knowledge management (KM) and competitive intelligence (CI) services. Design/methodology/approach – The requirements for a Library Knowledge Management Center (LKMC) are presented and briefly examined. KM, CI, ontologies, and the Semantic Web are all considered, and the steps needed to realize a LKMC are presented. Findings – An approach to developing a LKMC is provided, as is a rationale for the proposal. Future research issues for realization of this proposal are addressed. Research limitations/implications – This paper presents a conceptual overview of a project that is still in its early stages, and as such its practicality is difficult to evaluate. Practical implications – This proposal, if followed up with future research, will prove beneficial to both small business and to libraries. Small businesses are not always able to gather sufficient internal and external knowledge to assist in strategic planning and positioning, and thus are unable to compete with larger rivals whose resources allow them to develop sophisticated KM and CI systems. LKMCs hold promise to level the playing field. Libraries benefit because this reaffirms their relevance in a digital age in which so much information is freely available to patrons. Originality/value – This paper proposes a new service for libraries, one that will assist small businesses in competing more effectively with larger competitors.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.