Hook vs. hope: How to enhance customer engagement through gamification

Many digital service providers have adopted gamification to promote customer engagement. Critical questions, however, remain about the most effective way to enhance customer engagement and increase sales by applying gamification. With a research design that combines qualitative and quantitative methods, including the use of objective sales data from a large field study and replication of the findings across different contexts, this study explores how gamification fosters customer engagement. Both field study results and a simulation study reveal gamification principles (i.e., social interaction, sense of control, goals, progress tracking, rewards, and prompts) that promote hope and consequently increase customer engagement and digital sales. Furthermore, we find that hope is more strongly associated with customer engagement than the psychological condition of compulsion, which even exerts a negative impact. This research thus explores how gamification creates value for customers and provides actionable insights for managers to foster hope through gamification as opposed to get customers hooked.     

From Caring Entrepreneur to Caring Enterprise: Addressing the Ethical Challenges of Scaling up Social Enterprises

This paper advances the conception of social entrepreneurs as caring entrepreneurs. We argue that the care ethics of social entrepreneurs, implying the pursuit of caring goals through caring processes, can be challenged when they engage in the process of scaling up their ventures. We propose that social entrepreneurs can sustain their care ethics as the essential dimension of their venture only if they are able to build a caring enterprise. Organizational care designates the set of organizing principles that facilitate the embedding of care ethics at an organizational level, beyond the imprinting induced by social entrepreneurs’ personal ethics.     

Efficiency tests with overlapping data: an application to the currency options market

This paper presents the results of an empirical study into the efficiency of the currency options market. The methodology derives from a simple model often applied to the spot and forward markets for foreign exchange. It relates the historic volatility of the underlying asset to the implied volatility of an option on the underlying at a specified prior time and then proceeds to test obvious hypotheses about the values of the coefficients. The study uses panel regression to address the problem of overlapping data which leads to dependence between observations. It also uses volatility data directly quoted on the market in order to avoid the biases which may occur when ‘backing out’ volatility from specific option pricing models. In general, the evidence rejects the hypothesis that the currency option market is efficient. This suggests that implied volatility is not the best predictor of future exchange rate volatility and should not be used without modification: the models presented in this paper could be a way of producing revised forecasts.     

Empirical Findings on Business–Society Relations in Europe

Based on a theoretical exploration in a previous article, this paper empirically analyzes which issues of SD are taken into account by corporations and stakeholders in what way, and to what extent the concept of sustainable development (SD) can be achieved through stakeholder relations management (SRM) on the corporate level. An important basis for this empirical analysis is a referential framework, which specifies 14 issues of SD. In a first empirical step, the literature-based framework has been operationalized for the business world by analyzing sustainability reports. In a second empirical step, the operationalized framework served as the basis for a survey of selected MNCs. The analyses of the sustainability reports and the survey show how MNCs deal with particular issues of SD and what role they perceive particular stakeholders play. A key conclusion of the article is that SRM indeed promotes SD, but that it is no alternative to predictable government regulation.     

Reference points for measuring social performance: Case study of a social business venture

We present a longitudinal qualitative case study to elaborate on how a social venture forms reference points for social performance. Although organizations increasingly use various social performance targets to direct their operations, the scholarly knowledge on social performance reference points remains limited. We make use of the prior accounting literature and draw on the idea of compromising accounts to discuss how provisional and performative metrics can have a significant role in how organizations develop new ways to evaluate their social performance. Given that the social performance reference point criteria are ambiguous and the corresponding referents malleable, performative accounts are helpful as they can intervene in the organizational life by making particular things visible, providing space for interpretations, and facilitating discussion, thus creating temporary settlements and enabling opportunities for productive compromises between different organizational groups and evaluative principles. The recursive feedback loops between reference point referents, criteria and accounting artefacts help the organization to make sense of its own social performance and interpret the associated performance feedback, and thereby provide ground for organizational decisions on further action. Moreover, we discuss how imperfect accounts can be useful for social businesses in their pursuit of developing their activities and achieving social impact.     

Dynamic redistribution of mitigation resources during influenza pandemics

The Institute of Medicine (IOM) has pointed out that the existing pandemic mitigation models lack the dynamic decision support capability. In this paper, we present a simulation optimization model to generate dynamic strategies for distribution of limited mitigation resources, such as vaccines and antivirals, over a network of regional outbreaks. The model has the capability to redistribute the resources remaining from previous allocations in response to changes in the pandemic progress. The model strives to minimize the impact of ongoing outbreaks and the expected impact of potential outbreaks, considering measures of morbidity, mortality, and social distancing, translated into the societal and economic costs of lost productivity and medical services. The model is implemented on a simulated H5N1 outbreak involving four counties in the state of Florida, U.S. with over four million inhabitants. The performance of our strategy is compared to that of a myopic distribution strategy. Sensitivity analysis is performed to assess the impact of variability of some critical factors on policy performance. The methodology is intended to support public health policy on effective distribution of limited mitigation resources.     

Revisiting the objectives of worker-managed firms: An empirical assessment

This paper provides new evidence on the objectives pursued by worker-managed firms (WMFs). The basic neoclassical model assumes that WMFs maximizes net income per member instead of total profits (Ward, 1958). Even though it has been largely criticized, the Ward model has dominated the self-management literature. Alternative models suggest that WMFs are not only concerned about income per worker but also about the level of employment. However, the empirical content of these competing theoretical models has been rarely analyzed. This paper contributes to fill this gap by estimating the parameters of a generic welfare function, following the methodology proposed by Craig and Pencavel (1993). These parameters determine the relative importance that a WMF places on income per worker vis-a-vis the level of employment. Estimates are based on a long micro-panel of Uruguayan firms covering the entire population of Uruguayan worker-managed firm and conventional firms in 31 3-digit sectors over the period April 1996-December 2005. Following a strictly neoclassical framework, but simply allowing a more general specification of the WMF goals, we show that the assumption of the basic neoclassical model of the WMF is misleading. Our results support the view that WMFs are concerned with both employment and income per worker.     

Interpretation problems of the partial correlation with nonnormally distributed variables

The partial correlation is a commonly used measure for assessing the bivariate correlation of two quantitative variables after eliminating the influence of one or more other variables. The partial correlation is generally interpreted as the correlation that would result if the variables to be eliminated were fixed (not allowed to vary and influence the other variables), which is referred to in the statistical literature as conditional correlation. The present paper demonstrates, by means of theoretical derivations and practical examples, that when the assumption of multivariate normality is violated (e.g., as a result of nonlinear relationships among the variables investigated) the usual interpretation of the partial correlation coefficient will be basically incorrect. In extreme cases the value of the partial correlation coefficient may be strongly positive, close to 1, whereas the conditional correlation may have a large negative value. To solve this problem the paper suggests to partial out a certain function (in most cases the square) of the variables whose effects are to be eliminated if nonlinear relationships are likely to occur.