Non-neutrality of money

This chapter summarises the key ingredients of Schumpeter's monetary theory. While his writing on monetary matters is spread across multiple sources, one may summarise his endeavour in three integrative steps: First, he elaborated the claim theory into a general vision of money as a purely symbolic system of social accounts. Second, he put the quantity theory into a straightjacket of diminished relevance and refocused it in the income-expenditure approach. Finally, he applied further threads from the heterodox literature, most notably the notions of endogenous credit and forced savings, in order to link money with the real economy. Thus, lifting the veil of money and rebutting the postulate of its neutrality, his main assertion was that the endogenous supply of credit renders changes in the price structure an important driver of economic development.

To deny, to justify, or to apologize: Do social accounts influence stress levels in the aftermath of psychological contract breach?

Background Workplace stress carries considerable costs for the employees’ wellbeing and for the organization’s performance. Recent studies demonstrate that perceptions of psychological contract breach are a source of stress for employees. That is, when employees notice that their employer does not fulfil certain obligations, they will perceive that certain resources are threatened or lost, which in turn translates into increased stress. In this study, we zoom in on how stress unfolds in the aftermath of breach, dependent on the organization’s reaction to the breach. More specifically, we examined the influence of different types of social accounts (i.e., denial, apology, blaming and exonerating justification) on individuals’ stress resolution process using physiological (i.e., heart rate) and psychological (self-report) data. Method We used an experimental design in which we manipulated psychological contract breach and social account type. To test our hypotheses, we performed two sets of functional Principal Component Analyses: first to examine the effects of breach and second to examine the effects of social accounts. Results Our results indicate that breach elicits a physiological stress reaction, reflected in a short-lived increase in heart rate. However, no increase in the self-reported stress measure was found. Further, we did not find a significant effect of social accounts on the psychological and physiological recovery process. Conclusions The current research allows us to demonstrate that psychological contract breach will trigger a short-lived increase in heart rate. Further research is needed to better understand unfolding trajectories of physiological reactions to contract breach and the effect of social accounts as organizational recovery efforts.

Dictionary-based Classification of Tweets About Environment

In the era of social media, the huge availability of digital data (e.g. posts sent through social networks or unstructured data scraped from websites) allows to develop new types of research in a wide range of fields. These types of data are characterized by some advantages such as reduced collection costs, short retrieval times and production of almost real-time outputs. Nevertheless, their collection and analysis can be challenging. For example, particular approaches are required for the selection of posts related to specific topics; moreover, retrieving the information we are interested in inside Twitter posts can be a difficult task.The main aim of this paper is to propose an unsupervised dictionary-based method to filter tweets related to a specific topic, i.e. environment. We start from the tweets sent by a selection of Official Social Accounts clearly linked with the subject of interest. Then, a list of keywords is identified in order to set a topic-oriented dictionary. We test the performance of our method by applying the dictionary to more than 54 million geolocated tweets posted in Great Britain between January and May 2019.

Dictionary-Based Classification of Tweets About Environment

In the era of social media, the huge availability of digital data (e.g. posts sent through social networks or unstructured data scraped from websites) allows to develop new types of research in a wide range of fields. These types of data are characterized by some advantages such as reduced collection costs, short retrieval times and production of almost real-time outputs. Nevertheless, their collection and analysis can be challenging. For example, particular approaches are required for the selection of posts related to specific topics; moreover, retrieving the information we are interested in inside Twitter posts can be a difficult task.The main aim of this paper is to propose an unsupervised dictionary-based method to filter tweets related to a specific topic, i.e. environment. We start from the tweets sent by a selection of Official Social Accounts clearly linked with the subject of interest. Then, a list of keywords is identified in order to set a topic-oriented dictionary. We test the performance of our method by applying the dictionary to more than 54 million geolocated tweets posted in Great Britain between January and May 2019.

A cognitive transition underlying both technological and social aspects of cumulative culture

The argument that cumulative technological culture originates in technical-reasoning skills is not the only alternative to social accounts; another possibility is that accumulation of both technical-reasoning skills and enhanced social skills stemmed from the onset of a more basic cognitive ability such as recursive representational redescription. The paper confuses individual learning of pre-existing information with creative generation of new information.