Social media? It's serious! Understanding the dark side of social media

Research and practice have mostly focused on the “bright side” of social media, aiming to understand and help in leveraging the manifold opportunities afforded by this technology. However, it is increasingly observable that social media present enormous risks for individuals, communities, firms, and even for society as a whole. Examples for this “dark side” of social media include cyberbullying, addictive use, trolling, online witch hunts, fake news, and privacy abuse. In this article, we aim to illustrate the multidimensionality of the dark side of social media and describe the related various undesirable outcomes. To do this, we adapt the established social media honeycomb framework to explain the dark side implications of each of the seven functional building blocks: conversations, sharing, presence, relationships, reputation, groups, and identity. On the basis of these reflections, we present a number of avenues for future research, so as to facilitate a better understanding and use of social media.     

An analysis of anti-money laundering in the German non-financial sector

Journal of Management and Governance - European anti-money laundering (AML) law obliges both financial and non-financial private companies to contribute to combatting money laundering. Since the...     

Meaningful work at a distance: A case study in a hospital

Having a positive impact on other people's lives typically increases the likelihood of regarding one's work as meaningful. In some settings, however, employees have little or no contact to those who experience the impact of their work. Our paper examines how such distance affects these employees' construction of their work as meaningful. We present the findings of an in-depth case study of medical laboratory workers who do not typically interact with their patients. Drawing on interviews and observational data, we identify three sensemaking practices through which employees overcome the physical and perceived psychological distance to patients: assembling various pieces of information about the patient, sharing patient-related stories with colleagues, and relating themselves to patients and their medical problems. We also find that overcoming distance to patients can result in emotional stress, which is why some employees prefer staying at a ‘safe’ psychological distance. Our paper contributes to the meaningful work literature by examining how actors make work meaningful when they are physically distant from their object of work. We also contribute to a critical understanding of meaningful work by showing how efforts to render one's work more meaningful can intensify stress and emotional tension.     

Strategic CSR for innovation in SMEs: Does diversity matter?

Both corporate social responsibility and diversity influence firms' innovation, yet their relationship and links to innovation remain uncertain, especially among small to medium-sized enterprises. Relying on strategic and institutional CSR perspectives and a value-in-diversity approach, this study examines the mediating roles of gender and nationality diversity on the CSR–innovation link at the organizational level. With a sample of 1348 SMEs from Luxembourg, the results show that strategic CSR can promote both types of diversity, but only nationality diversity triggers technological innovation. Nationality diversity emerges as a partial mediator of the relationship between CSR and SMEs’ technological innovation. Thus, strategic CSR, through the genuine pursuit of such diversity, can help SMEs attain positive returns on their product or process innovation. These results have important theoretical and managerial implications.     

A Novel Approach to Chemical Mixture Risk Assessment—Linking Data from Population‐Based Epidemiology and Experimental Animal Tests

Humans are continuously exposed to chemicals with suspected or proven endocrine disrupting chemicals (EDCs). Risk management of EDCs presents a major unmet challenge because the available data for adverse health effects are generated by examining one compound at a time, whereas real‐life exposures are to mixtures of chemicals. In this work, we integrate epidemiological and experimental evidence toward a whole mixture strategy for risk assessment. To illustrate, we conduct the following four steps in a case study: (1) identification of single EDCs (“bad actors”)—measured in prenatal blood/urine in the SELMA study—that are associated with a shorter anogenital distance (AGD) in baby boys; (2) definition and construction of a “typical” mixture consisting of the “bad actors” identified in Step 1; (3) experimentally testing this mixture in an in vivo animal model to estimate a dose–response relationship and determine a point of departure (i.e., reference dose [RfD]) associated with an adverse health outcome; and (4) use a statistical measure of “sufficient similarity” to compare the experimental RfD (from Step 3) to the exposure measured in the human population and generate a “similar mixture risk indicator” (SMRI). The objective of this exercise is to generate a proof of concept for the systematic integration of epidemiological and experimental evidence with mixture risk assessment strategies. Using a whole mixture approach, we could find a higher rate of pregnant women under risk (13%) when comparing with the data from more traditional models of additivity (3%), or a compound‐by‐compound strategy (1.6%).     

A Review of Recent Advances in Benchmark Dose Methodology

In this review, recent methodological developments for the benchmark dose (BMD) methodology are summarized. Specifically, we introduce the advances for the main steps in BMD derivation: selecting the procedure for defining a BMD from a predefined benchmark response (BMR), setting a BMR, selecting a dose–response model, and estimating the corresponding BMD lower limit (BMDL). Although the last decade has shown major progress in the development of BMD methodology, there is still room for improvement. Remaining challenges are the implementation of new statistical methods in user‐friendly software and the lack of consensus about how to derive the BMDL.     

Venture capital and risk perception

This study extends the current state of research on venture capital (VC) determinants by introducing a behavioral perspective. We focus on individuals’ risk perception and connect it to Hofstede’s cultural dimensions of individualism and uncertainty avoidance. Individualism is related to overoptimism and uncertainty avoidance is related to overcaution, and hence affect the perception of risk. In a cross-country empirical analysis with 49 countries, we find that individualism is positively associated with VC activity, whereas uncertainty avoidance is negatively associated with VC activity. Our results are robust to controlling for other determinants as well as using other proxies of VC activity, other time periods, and subsamples of countries.     

Eroding patriarchy: the co-evolution of women's rights and emancipative values

Some scholars find that top-down improvements in women's rights increase societies' value of gender equality at the grassroots, creating pressure for more adoption and enforcement. Others claim that the extension of women's rights is strongly dependent on value change at the grassroots, operating largely as a bottom-up process. We find that top-down and bottom-up dynamics are mutually reinforcing, creating a co-evolutionary dynamic in women's empowerment. We evaluate the rights/values dynamic with data on as many countries as possible, trace their changes over the longest time span available, and analyze their reciprocal relationship in both directions of impact. This is the first analysis that is at the same time (1) comparative across a diverse, global set of nations; (2) dynamic in looking at change in rights and values over time; (3) bidirectional in analyzing the interplay in both directions of impact; and, (4) controlled for relevant ‘third’ changes.