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.     

Family firm succession and performance

We analyse more than half a million businesses from the Census Bureau’s 2007 Survey of Business Owners with less survivorship and size biases. After controlling for firm- and owner-specific characteristics, we find family businesses generate fewer receipts and less employment and payroll. Family businesses involving a second-generation owner-manager show better performance. On the other hand, those managed by founder-owners show worse performance. These results of all firms, mostly small businesses, are contrary to the previous studies of large public firms. However, for a subsample of 2064 businesses large enough to be listed on a US stock exchange, the results become consistent with the previous large-firm studies.     

Experts,firms, consumers or even hard data? Forecasting employment in Germany

In this article, we forecast employment growth for Germany with data for the period from November 2008 to November 2015. Hutter and Weber (2015) introduced an innovative unemployment indicator and evaluated the performance of several leading indicators, including the Ifo Employment Barometer (IEB), to predict unemployment changes. Since the IEB focuses on employment growth instead of unemployment developments, we mirror the study by Hutter and Weber (2015). It turns out that in our case, and in contrast to their article, the IEB outperforms their newly developed indicator. Additionally, consumers’ unemployment expectations and hard data such as new orders exhibit a high forecasting accuracy.     

Quantitative Parameters of Global Value Chains in Macrostructural Forecasting

This paper examines the role and possibilities of world interindustry models in scenario-analytical studies in terms of prospects of the Russian economy in global value chains. Quantitative parameters of the Russian economy in global value chains are given.     

Analysis of the Impact of Scientific and Technical Development on Economic Growth Using Input−Output Balance Tools

The article analyzes problems of measuring the level of technological development of the economy. A review of methods for measuring technological progress and derived estimates of the impact of technological development on economic growth is given. Input?output balance tools are considered, on which basis a structural cost analysis in the Russian economy is performed and alternative estimates of impact of technological changes on economic growth, including by type of economic activity, are assessed.     

When innovation in education works: stimulating teachers' innovative work behaviour

The twenty‐first century labour market requires employees that proactively shape innovations and solve complex problems. Professionals in the education sector are expected to perform innovative behaviour that not only entails the generation, but also the realization and sustainable implementation of new ideas. In a sample of 458 employees in Dutch secondary and higher vocational education (abbreviated in Dutch to MBO and HBO, respectively), this study investigated the relation between environmental factors (namely task variety, management support and exposure to innovation) and Innovative Work Behaviour (IWB) across the different phases of the innovation process, including a sustainability phase. Results of hierarchical regression analyses showed that management support and exposure to innovations served as a predictor for all phases of IWB. Teachers with supportive managers and a high degree of exposure to innovations showed higher scores on innovative behaviour across all phases. Linear regressions revealed a significant relationship between task variety and IWB. In the hierarchical model, only management suport and exposure to innovations showed significant relations. Background characteristics, such as gender, age, tenure, number of working hours and type of education, for which we controlled during the analyses, played a role in how much IWB is displayed. It can be concluded that a work environment, in which employees are exposed to innovation and are supported is crucial. Additionally, in view of the role background characteristics play, it is recommended to select teachers with specific profiles for the different phases of the innovation process.