Value Frame Fusion in Cross Sector Interactions

Prior research flags the inherent incompatibilities between for-profit and nonprofit partners and cautions that clashing value creation logics and conflicting identities can stall social innovation in cross sector partnerships. Process narratives of successful versus unsuccessful cross sector partnerships paint a more optimistic picture, whereby the frequency, intensity, breadth, and depth of interactions may afford frame alignment despite partners’ divergent value creation approaches. However, little is known about how cross sector partners come to recognize and reconcile their divergent value creation frames in order to co-construct social value. Using longitudinal narratives of four dyads, we show that partners initially contrast their sector-embedded diagnostic frames and then work together to deliberately develop partnership-specific prognostic frames. We extend the literature on framing by developing a four-stage grounded model of frame negotiation, elasticity, plasticity, and fusion which unpacks the relational process of value creation in cross sector partnerships. Our qualitative analyses further show how partners orchestrate multilevel coordination that helps scaffold and calibrate this relational process of frame fusion.     

Informal employment in Poland: an empirical spatial analysis

The main goal of our article is to bridge the gap in the regional analysis of informal employment in Poland and in particular to indicate the propensity for informal work in the working-age population, to test if informal activities are typical for marginalized people (less educated, unemployed, older) and to identify the regional and spatial heterogeneity in the propensity. We use data from the ‘Human Capital Balance 2010–2014’ survey. Results indicate a strong relationship between the probability of informal work and age, sex and labour force status. Moreover, a strong spatial dependency can be observed.     

A Two‐Step Procedure to Measure Representativeness of Internet Data Sources

So far, statistics has mainly relied on information collected from censuses and sample surveys, which are used to produce statistics about selected characteristics of the population. However, because of cost cuts and increasing non‐response in sample surveys, statisticians have started to search for new sources of information, such as registers, Internet data sources (IDSs, i.e. web portals) or big data. Administrative sources are already used for purposes of official statistics, while the suitability of the latter two sources is currently being discussed in the literature. Unfortunately, only a few papers devoted to statistical theory point out methodological problems related to the use of IDSs, particularly in the context of survey methodology. The unknown generation mechanism and the complexity of such data are often neglected in view of their size. Hence, before IDSs can be used for statistical purposes, especially for official statistics, they need to be assessed in terms of such fundamental issues as representativeness, non‐sampling errors or bias. The paper attempts to fill the first gap by proposing a two‐step procedure to measure representativeness of IDSs. The procedure will be exemplified using data about the secondary real estate market in Poland.     

The Influence of Light on Consumer Behavior at the Food Market

The article deals with a comprehensive, interdisciplinary examination of the effect of lighting on the purchasing decisions of consumers and the perception of lighting on the food market. It is the integration of questionnaire survey and measuring of light intensity and color temperature (chromaticity), respectively, of emitted color spectrum in grocery shops. The object of the study is the accent lighting in served shop departments of fresh food (meat, deli, dairy products, fruit, vegetables, bread, pastry) but also in other departments of supermarkets (wine, alcohol, organic food, specials, seasonal goods). Based on the light tests conducted in retail stores, we have identified the light conditions in national and international chains operating in Slovakia. Using EEG equipment in simulated conditions, we discovered true consumer preferences for different lighting conditions (color temperature, color rendering index) for the selected type of food. The article concludes with certain managerial implications in the sphere of food retailing and recommendations for further research studies.