Gamified interactions: whether,when, and how games facilitate self–brand connections

Firms increasingly use games to interact with their customers. Yet, surprisingly little is known about whether, when, and how such “gamified” interactions engage consumers with a firm’s brand, thereby facilitating self–brand connections. Building on flow theory, we show that gamified interactions that are highly interactive and optimally challenging facilitate self–brand connections, because such games lead to emotional and cognitive brand engagement. A field study and three experiments across various product domains and game designs support our theory. We also identify conditions under which consumers do not become engaged with a brand, namely when firms restrict their decisional control either to voluntarily participate in the game (i.e., compulsory play) or to spend as much time as desired playing the game (i.e., time pressure). Our findings advance existing knowledge about the use of games in marketing and provide important implications for how marketers can harness their potential to build self–brand connections.     

Exploring the interaction between incubators and industrial clusters: the case of the itri incubator in Taiwan

This article aims to explore the interaction between incubators and industrial clusters, which is an important linkage for local development but has not been analyzed in the literature. A model is proposed to describe this interaction. The Industrial Technology Research Institute (ITRI) Incubator within the Hsinchu industrial cluster, the core of Taiwan's technology industries, is considered to be an empirical case. This case is investigated with the proposed model and methods including data analysis, in–depth interviews, manager surveys and stakeholder analysis. It was found that the clustering effect in the Hsinchu industrial cluster is main factor in the ITRI Incubator's development. The ITRI Incubator in turn reinforces the cluster in some aspects as feedback. This result confirms the existence and importance of this interaction in local development. It is recommended that government officials and incubator managers take account of this interaction in operating an incubator program and utilize the proposed model to analyze the incubator's contributions to its industrial cluster.     

A computational general equilibrium model with vintage capital

This paper presents a vintage capital model assuming putty–clay investment and perfect foresight. The model is written in discrete time and is simulated by using a second order relaxation algorithm. By computing the eigenvalues of the dynamic system, we have checked the conditions of existence and uniqueness of a solution (Blanchard and Kahn's conditions) and identified the echo effect that characterizes vintage capital models and the related dynamics of creation and destruction. By calibrating the model on French data, it has been proved useful to explain the medium-term movements in the distribution of income in France during the last three decades.     

Do interventions in foreign exchange markets modify investors' expectations? The experience of Japan between 1992 and 2004

The purpose of this paper is to analyze the impact of the Bank of Japan's official interventions on the JPY/USD parity during the period 1992–2004. The novelty of our approach is to combine two recent advances of the empirical literature on foreign exchange interventions: (i) drawing on over-the-counter option prices to characterize more precisely the distribution of market expectations; (ii) redefining interventions in terms of events as they tend to come in clusters. Moreover, in order to deal with the features of the data (small sample size, non-standard distribution), we use bootstrap tests.We show that interventions have a significant impact on the mean expectation (the forward rate). The results are more ambiguous for variance. Additionally, we find that the effect of interventions on skewness is significant, robust to different definitions of skewness, and consistent with the direction of interventions. On the contrary, our results clearly show that kurtosis is not affected by interventions. We finally show that: (i) coordination increases effectiveness of interventions; (ii) results are not altered when controlling for other economic and political news.     

用于高频的新颖开关电容积分器

本文研究了用于开关电容(SC)滤波器的离散积分器,所推荐的积分器是由无耗离散积分器(LDI)和双线性离散积分器的最佳线性结合而成,因此,称之为组合离散积分器(CDI)。由于这个积分器使正常转折频率增加一倍,并使高频离散积分器误差减少到最低限度,所以它对高频应用是理想的。文中给出了组合离散积分器的几种SC实现,并且还给出了以组合离散积分器为基础,模拟一般一阶和二阶的模拟滤波器单元的SC电路。     

Pseudo empirical likelihood method in the presence of missing data

In this paper, we propose an estimator for the population mean when some observations on the study and auxiliary variables are missing from the sample. The proposed estimator is valid for any unequal probability sampling design, and is based upon the pseudo empirical likelihood method. The proposed estimator is compared with other estimators in a simulation study.     

Identity, identification, and relationship through social alliances

The authors studied social alliances, a type of corporate societal marketing initiative. Their research finds that social alliances are an important means whereby employees identify more closely with their organizations while gaining a greater sense of being whole, integrated persons. Furthermore, this integration allows both organizations and their members to align their commercial identities with their moral and social identities. As organizational members struggled to resolve conflicts within their own identities, they were aided by social alliances, which in turn led them to identify more with their organizations. Unlike previous research, the findings suggest that the kind of connections referred to by the informants went well beyond the cold, rational associations described in previous research to emotional attachments that appear to be critical to organizational identification. The results also suggest that participation in social alliances may result in multiple forms of identification: intra- and interorganiza-tion identification. Ida E. Berger (bergeri@ryerson.ca) is the associate director of faculty affairs and a professor of marketing in the School of Business Management at Ryerson University. She received her Ph.D. from the University of Toronto. Her articles have appeared in leading marketing journals, including theJournal of Consumer Research, Public Policy and Marketing, theJournal of Consumer Psychology, andCalifornia Management Review. Her current research interests include social alliances, voluntary and nonprofit sector studies, diversity, and the value of sports in social inclusion. Her teaching interests include marketing theory, consumer behavior, and marketing communications. Peggy H. Cunningham (pcunningham@business.queensu.ca) is the Marie Shantz Teaching Associate Professor of Marketing, School of Business, in the Queen’s University. She completed her Ph.D. at Texas A&M University. Dr. Cunningham’s research interests revolve around two related themes: marketing ethics and marketing partnerships (international strategic alliances, partnerships between for-profit and not-for-profit organizations, relationships between firms and their customers). These areas of study are linked by their focus on the concepts of trust, integrity, and commitment. She is the coauthor of the Canadian editions of a number of marketing textbooks (Marketing Management; Principles of Marketing; and Marketing: An Introduction). Her work is published in a number of journals, including theJournal of the Academy of Marketing Science, the Journal of International Marketing, and California Management Review. Minette E. Drumwright (mdrum@mail.utexas.edu) is an associate professor with a joint appointment in the College of Communication (Department of Advertising) and the College of Liberal Arts at The University of Texas at Austin. Previously, Dr. Drumwright was on the marketing faculties of Harvard Business School and the University of Texas Business School. She currently is the faculty chair of the Bridging Disciplines Program in Ethics and Leadership at the University of Texas. She has a Ph.D. in business administration (marketing) from the University of North Carolina at Chapel Hill. Dr. Drumwright’s current research is in the areas of corporate social responsibility, marketing for nonprofit organizations, and business ethics. Her focus is on understanding how managers and consumers integrate noneco-nomic criteria related to society into their decision making. Dr. Drumwright has studied noneconomic criteria in various contexts, including cause-related marketing, partnerships between companies and nonprofit organizations, socially responsible buying behavior, and corporate volunteerism. Her articles and cases have been published in various books and journals, includingCalifornia Management Review, theJournal of Advertising, and theJournal of Marketing.     

On exact D-optimal designs with 2 two-level factors and n autocorrelated observations

In this paper we consider the exact D-optimal designs for estimation of the unknown parameters in the two factors, each at only two-level, main effects model with autocorrelated errors. The vector of the n random errors in the observed responses is assumed to follow a first-order autoregressive model (AR(1)). The exact D-optimal designs seek the optimal combinations of the design levels as well as the optimal run orders, so that the determinant of the information matrix of BLUEs for the unknown parameters is maximized. Bora-Senta and Moyssiadis (1999) gave some conjectures about the exact D-optimal designs based on their experience of several exhaustive searches. In this paper their conjectures are partially proved to be true.Received: January 2003 / Accepted: October 2003Partially supported by the National Science Council of Taiwan, R.O.C. under grant NSC 91-2115-M-008-013.Supported in part by the National Science Council of Taiwan, R.O.C. under grant NSC 89-2118-M-110-003.     

Evolution of harvesting strategies: replicator and resource dynamics

Abstract. Economic theories of managing renewable resources, such as fisheries and forestry, traditionally assume that individual harvesters are perfectly rational and thus able to compute the harvesting strategy that maximizes their discounted profits. The current paper presents an alternative approach based on bounded rationality and evolutionary mechanisms. It is assumed that individual harvesters face a choice between two harvesting strategies. The evolution of the distribution of strategies in the population is modeled through a replicator dynamics equation. The latter captures the idea that strategies yielding above average profits are demanded more than strategies yielding below average profits, so that the first type ends up accounting for a larger part in the population. From a mathematical perspective, the combination of resource and evolutionary processes leads to complex dynamics. The paper presents the existence and stability conditions for each steady-state of the system and analyzes dynamic paths to the equilibrium. In addition, effects of changes in prices are analyzed. A main result of the paper is that under certain conditions both strategies can survive in the long-run. Correspondence to: J. Noailly