A critical overview of privacy-preserving approaches for collaborative forecasting

Cooperation between different data owners may lead to an improvement in forecast quality—for instance, by benefiting from spatiotemporal dependencies in geographically distributed time series. Due to business competitive factors and personal data protection concerns, however, said data owners might be unwilling to share their data. Interest in collaborative privacy-preserving forecasting is thus increasing. This paper analyzes the state-of-the-art and unveils several shortcomings of existing methods in guaranteeing data privacy when employing vector autoregressive models. The methods are divided into three groups: data transformation, secure multi-party computations, and decomposition methods. The analysis shows that state-of-the-art techniques have limitations in preserving data privacy, such as (i) the necessary trade-off between privacy and forecasting accuracy, empirically evaluated through simulations and real-world experiments based on solar data; and (ii) iterative model fitting processes, which reveal data after a number of iterations.     

‘Free actors’ and organizations: critical remarks about the new career literature,based on French insights

What is the reality of contemporary careers? Have individuals become masters of their professional destiny? While the ‘new career literature’ puts forward the figure of an individual free to invent his/her career (the ‘free actor model’), this article shows that the changes purported to affect careers are less radical than they seem. Despite a weakening of environments, discriminating career mechanisms are still imposed on cadres, at least in France. Because individuals do not always have the means or the will to escape those mechanisms, ‘external clues’ continue to mark careers more than the new career literature supposes. To account for the realities observed in France, this paper proposes a specific view on careers, which highlights why career rules still exist in the country.     

Construct validity and second-order factorial model

Three second-order factorial models are defined, using the LISREL notation, to assess the univocity of a construct. The first model assumes that the constructs are heterogeneous, the second that they are homogeneous. The third model introduces the notion of partial homogeneity between constructs. Partial homogeneity is defined in terms of a LISREL second-order factor model. In some cases, this model offers a viable alternative to the collapsing of items into a unique scale. An example is given of scales which fit the partial homogeneity model.     

Entry to foreign markets and productivity: Evidence from a matched sample of Turkish manufacturing firms

We examine the effects of international trading activities of firms on creating productivity gains in Turkey by using a recent firm-level data set over the period 2003–2010. We establish treatment models and investigate the productivity improvements of firms through trade by using propensity score matching techniques together with difference-in-difference estimates. Three different groups of treatment are constructed: (1) firms that are involved only with import activities, (2) firms that are involved only with export activities and (3) firms that are involved with both export and import activities. The results of the study suggest that both exporting and importing have positive significant effects on total factor productivity (TFP) and labour productivity (LP) of firms. Importing is found to have a greater impact on productivity of firms compared to exporting. Further, two-way trade is found to have more significant effects than those of one-way trade on firm productivity. Finally, our results indicate that international trade has greater impact on LP rather than TFP of firms.     

A good deal online: The Impacts of acquisition and transaction value on E-satisfaction and E-loyalty

Relying on Thaler's exchange theory, this research examines the unique effects of perceived transaction and acquisition values on consumer e-satisfaction and e-loyalty in an e-commerce setting, along with the moderating role of product/ service category. Overall, consumers' perceptions of transaction value lead to their e-dissatisfaction. Hence, obtaining a good deal does not have the same meaning and influence depending on the type of buying trip (exploratory or goal-directed). These results confirm Thaler's exchange theory's usefulness to analyzing the impact of perceived value on e-satisfaction and e-loyalty. Additionally, in a managerial perspective, this research underlines the importance of adapting promotional strategies to online contexts, since online purchase experience improves when there is an alignment between the customer's goals and the e-tailer’s online offering.     

The influence of empathy in complaint handling: Evidence of gratitudinal and transactional routes to loyalty

While most studies on complaint handling are focused on performance outcomes, analysis of the processes that reinforce relationship quality is lacking. Building on the relationship marketing theory of reciprocal behaviours, this research proposes and tests a model of the effects of empathy as a particular relationship recovery investment. Addressing for the first time the role of gratitude in a complaint-handling context, this model assumes that both gratitude and transactional satisfaction mediate the influence of empathy on consumers' trust and commitment. Data from a cross-industry survey of phone and online complaints confirmed the proposed model.