The research programme in a nutshell

Author(s):  
Katharina Zimmermann

In chapter 4, the particular epistemological aspects of the study’s research programme as well as its actual methodological approach and the database are outlined. As sketched out in chapter 3, the study adopts a conditional perspective towards the local context as a crucial factor in shaping local responses to the ESF. For analysing the role of contextual conditions, Qualitative Comparative Analysis (QCA) is used in the study, and its main features are described in chapter 4. Furthermore, the chapter provides insights into the research design, data gathering and data processing.

Author(s):  
Christian Rudeloff ◽  
Stefanie Pakura ◽  
Fabian Eggers ◽  
Thomas Niemand

AbstractThis manuscript analyzes start-ups’ usage of different communication strategies (information, response, involvement), their underlying decision logics (effectuation, causation, strategy absence) and respective social media success. A multitude of studies have been published on the decision logics of entrepreneurs as well as on different communication strategies. Decision logics and according strategies and actions are closely connected. Still, research on the interplay between the two areas is largely missing. This applies in particular to the effect of different decision logics and communication models on social media success. Through a combination of case studies with fuzzy-set Qualitative Comparative Analysis this exploratory study demonstrates that different combinations of causal and absence of strategy decision logics can be equally successful when it comes to social media engagement, whereas effectuation is detrimental for success. Furthermore, we find that two-way-communication is essential to create engagement, while information strategy alone cannot lead to social media success. This study provides new insights into the role of decision logics and connects effectuation theory with the communication literature, a field that has been dominated by causal approaches.


Author(s):  
Ilia Viatkin ◽  
◽  
Yuriy Kabanov ◽  
Mikhail Karyaginm ◽  
Stanislav Kukartsev ◽  
...  

Information openness of public advisory councils is an important but underexplored indicator of their role in public policy. It reflects their activities, as well as the feedback mechanisms between citizens and councils. Scholars point out low information quality on federal and regional levels, but the reasons behind that rarely studied, especially from a comparative perspective. This paper attempts to fill in this gap by revealing the conditions leading to greater information openness. The authors choose St. Petersburg as a case and gather a dataset on 46 public councils. The key research method is the fuzzy-set qualitative comparative analysis. The framework is built on two expectations: the impact of councils’ autonomy (in website management and general organization) and the role of councils (“intermediary” or “expert”) on information openness.Due to several limitations, the results have not revealed any conditions which can be considered a guarantee for better openness. However, the preliminary conclusion is that the differences in autonomy and roles are important conditions. The autonomy of councils seems to be the most crucial factor. A valuable contribution of this paper is the framework of analysis that can be used for other cases and research strategies.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bodo Steiner ◽  
Moritz Brandhoff

Purpose This paper aims to explore the role of configurations of relationship quality dimensions for explaining sources of behavioral outcomes in the globalized manufacturing industry. Design/methodology/approach A joint analysis of behavioral and objective performance data from globalized manufacturing links perceptual customer metrics that relate to dimensions of relationship quality (i.e. attitudinal loyalty, perceived customer orientation, customers’ perceived innovativeness of the supplier and perceived customer influence on supplier innovation) with behavioral outcomes (i.e. share of wallet (SOW) and customer account profitability). Using data from a global business-to-business (B2B) customer survey together with archival performance data from a multinational mechanical engineering firm, a fuzzy set qualitative comparative analysis (fsQCA) is performed. Findings The fsQCA results suggest that perceptual customer metrics related to innovation can be relevant aspects of relationship quality, in line with Anderson and Mittal’s (2000) satisfaction-repurchase-profitability chain framework and its adaptation to SOW. However, the underlying complexities in the different combinations of attributes in the recipe are such that they are not equifinal in leading to higher SOW or higher profitability. This paper finds indications for non-linearities between perceptual measures investigated and profitability of customer accounts, with particular relevance for the role of perceived customer orientation, perceived product innovativeness of the supplier and attitudinal loyalty. Research limitations/implications The analysis faces a number of limitations, starting with its reliance on cross-sectional survey data, which does not enable us to account for feedback mechanisms, for example, arising from customer perceptions regarding innovation aspects. The lack of a multidimensional conceptionalization of the perceptual customer constructs may have limited the analysis, considering also recent evidence from retail companies in the furniture sector in Spain, suggesting that the multidimensional conceptualization of relationship value explained satisfaction and loyalty levels to a greater extent than the one-dimensional conceptualization (Ruiz-Martínez et al., 2019). Practical implications In terms of managerial implication, the results suggest that customers perceive limited value in participating in the focal firm’s innovation value chain funnel, hence customer loyalty cannot be bought using simple incentive strategies. The results with regard to customer account profitability suggest that B2B customers investigated here may distinguish when interacting with their globalized supplier in the innovation funnel: they may see a positive customer value when the innovation is a product, and thus, relation-specific, whereas they may see limited customer value when innovation is considered in more generic terms (customers’ perceived influence on supplier innovation in general). Originality/value This paper starts from the premise that perceptual customer metrics can matter for supplier performance, as the customer relationship and customer value management research has shown. However, there is limited empirical evidence from globalized manufacturing sectors incorporating perceptual constructs in behavioral outcomes, and limited evidence assessing customer-perceived value in such sectors through alternate approaches to main-effects focused analyzes. We employ qualitative comparative analysis using fuzzy sets (Russo et al., 2019) to address these gaps, focusing on two key behavioral outcomes, namely, customer account profitability and SOW.


2012 ◽  
Vol 12 (1) ◽  
pp. 129-142 ◽  
Author(s):  
M. Polemio ◽  
O. Petrucci

Abstract. In this paper, we present a methodological approach based on a comparative analysis of floods that occurred in a wide region over a long period and the climatic data characterising the same period, focusing on the climate trend. The method simplifies the comparative analysis of several time series by defining some indexes (e.g. the monthly, bi-monthly, and ... m-monthly indexes of precipitation, temperature, wet days and precipitation intensity and the monthly flood number) that can be used to study phenomena such as floods that are characterised by spatial and temporal variability. The analysis was used to investigate the potential effect of climate variation on the damaging floods trend. The approach was tested for the Calabria region (Italy) using historical flood and climatic data from 1880 to 2007. The results showed that the number of floods was correlated with the monthly indexes of precipitation, wet days, and daily precipitation intensity. The following trends were recognised: decreasing precipitation and wet days, almost constant precipitation intensity, increasing temperature, and linearly increasing floods. A second-order polynomial trend analysis showed a slight decrease in floods since the seventies, which might be explained by the favourable climatic conditions during the period and/or the effect of increasing awareness of flood vulnerability.


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