No abstract

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. AbstractPurpose -The purpose of this paper is to examine influential factors on branded app adoption from the perspectives of brand relationship and consumption values. Thus a research model integrating consumer-brand relationship literature and the theory of consumption values is developed. Design/methodology/approach -Using the survey approach, 245 participants were recruited from several app market forums and app fan communities. The banking apps issued by three large banks in Taiwan were used in the research. Findings -The findings support the research model and confirm that brand relationship in terms of brand attachment and brand identification, and perceived overall consumption values are influencing factors in branded app adoption.Research limitations/implications -The research advances the understanding of the effect of brand relationship on branded app use behavior and the functional and non-functional value components pertaining to branded apps. Originality/value -Little research has investigated if brand-consumer relationship and consumption values can sustain and continually impact consumers' choice in mobile apps.

No abstract

Many practical product line design problems have large numbers of attributes and levels. In this case, if most attribute level combinations define feasible products, constructing product lines directly from part-worths data is necessary. For three typical formulations of this important problem, Kohli and Sukumar (Kohli, R., R. Sukumar. 1990. Heuristics for product-line design using conjoint analysis. Management Sci. 36 1464--1478.) present state-of-the-art heuristics to find good solutions. In this paper, we develop improved heuristics based on a beam search approach for solving these problems. In our computations for 435 simulated problems, significant improvements occur in five important performance measures used. Our heuristic solutions are closer to the optimal, have smaller standard deviation over replicates, take less computation time, obtain optimal solutions more often and identify a number of "good" product lines explicitly. Computation times for these problems are no more than 22 seconds on a PC, small enough for adequate sensitivity analysis. We also apply the heuristics to a real data set and clarify computational steps by giving a detailed example.product line design, product line selection, conjoint analysis, product profile, heuristics, beam search

Concern about the privacy of online consumers is a global issue. Given the global nature of the Internet, companies planning and implementing e-commerce must understand the differences in privacy concerns of consumers in different cultures with different social/economic contexts to become effective in business. Motivated by this need, this study analyzes and compares the privacy concerns of online consumers in China and the United States, identifies major factors related to these concerns, and discusses the cultural/social/economic backgrounds of the related phenomena found in the study.