Unintended Consequences in Transformative Service Research: Helping Without Harming

Even as transformative service initiatives promote greater well-being, they may also create unintentionally negative consequences. Research investigates boundary conditions and boomerang effects that wash out or reverse the intended effects of service initiatives. However, such research generally advances greater depth of insight about unintended consequences in a particular stream rather than bridging this knowledge across service domains. Thus, service research lacks integrative frameworks, theory, and empirical insight to advance more generalizable knowledge about unintended consequences. The purpose of this editorial is to clarify the importance of investigating unintended consequences across service contexts and propose pathways as a catalyst for research. Using theory on unintended consequences, we delineate the types of unintended consequences and discuss the underlying mechanisms. We identify themes that span papers in the special issue and illuminate negative spillover consequences. The editorial concludes with an overview of future research avenues with potential to accelerate important transformative service research.

COVID-19 Vaccine Passport and International Traveling: The Combined Effect of Two Nudges on Americans’ Support for the Pass

Immunity passports have the potential to allow large-scale international traveling to resume. However, they can only become an effective tool if they are widely supported by the general public. We carry out a double blind randomized online experiment with a sample of N=4000 Americans to study (i) whether two nudges can increase the level of support for a COVID pass for international traveling, (ii) the relationship between the effects of the nudges, and (iii) if these nudges have a negative spillover on the intention to get vaccinated. We find that both nudges increase the support for the COVID pass and that their impact is stronger when they are used together. Moreover, we find that the two nudges do not negatively affect intentions to get vaccinated. Our findings have important implications for policymakers and for the nascent literature on the interaction between multiple nudges.

The bonding hypothesis revisited: evidence from US class action lawsuits

PurposeConsistent with an “absolute bonding hypothesis,” the benefits of listing on US exchanges experienced by cross-listed firms are accompanied by an increased risk of experiencing a spillover effect due to negative news within their industry. The purpose of this study is to test this form of the bonding hypothesis by analyzing the spillover effect to cross-listed firms when class action lawsuits are filed against their industry peers.Design/methodology/approachThe bonding hypothesis is tested by analyzing the spillover effect to non-sued cross-listed firms of class action lawsuits brought against US domestic firms in the same industry. The spillover effect is identified using cumulative abnormal returns around lawsuit filing dates from 1996 to 2020. A sample of matched non-sued cross-listed and domestic peer firms is evaluated in a cross-sectional analysis to identify country and firm-level characteristics that mitigate the negative spillover effect to cross-listed firms.FindingsWhile US firms realize significantly negative abnormal returns when class action suits are filed against their industry peers, the impact to cross-listed peers is statistically insignificant. In multivariate analyses, we show that the ability of cross-listed firms to avoid this negative spillover effect is stronger for firms with greater profitability that are headquartered in countries with better shareholder protections and governance characteristics.Originality/valueResults suggest that cross-listed firms may have a level of immunization from the negative industry spillover effect of class action lawsuits and, thus, exhibit only “partial bonding” to the US market.

Covid-19 Vaccine Passport and International Traveling: The Combined Effect of Two Nudges on Americans’ Support for the Pass

Immunity passports have the potential to allow large scale international traveling to resume. However, they can only become an effective tool if they are widely supported by thegeneral public. We carry out a double blind randomized online experiment with a sample of N = 4000 Americans to study: i) whether two nudges can increase the level of support for COVID pass for international traveling; ii) the relationship between the effects of the nudges; and iii) if these nudges have a negative spillover on the intention to get vaccinated. We find that both nudges increase the support for the COVID pass and that their impact is stronger when they are used together. Moreover, we find that the two nudges do not affect negatively intentions to get vaccinated. Our findings have important implications for policymakers and for the nascent literature on the interaction among multiple nudges.

Identity and Guilt as Mediators of Pro-environmental Spillover

Policymakers are interested in programs that increase targeted pro-environmental behavior (PEB) and spill over to increase non-targeted PEBs. Theoretically, guilt should lead to negative spillover and identity to positive spillover, though this has rarely been tested empirically. Additionally, little is known about how reminders of past PEB behavior might also lead to downstream spillover effects. Across two studies, participants (Study 1: 377 MTurk workers; Study 2: 172 undergraduates) were randomly assigned to write about a prior PEB, an anti-environmental behavior, or to a control condition. Subsequently, respondents were given an opportunity to perform a PEB2 and completed measures of PEB3 intentions. Results showed some evidence of positive (through increasing identity) and negative (through decreasing guilt) indirect spillover pathways from prior PEB reminders to PEB2 performance and PEB3 curtailment intentions (but not efficiency upgrade intentions). However, there were no overall spillover effects from PEB reminders to PEB2 performance or PEB3 intentions, as the positive and negative indirect effects canceled each other out. Results also showed positive spillover from PEB2 performance to PEB3 curtailment intentions through increasing environmental guilt. The strength of the spillover effects depended on the comparison group for the experimental manipulation, whether environmental guilt or global guilt was measured, and the type of PEB. The results suggest that environmental communications that remind people of their prior PEB may not meaningfully spill over to further PEB performance or intentions.

Whether green technology innovation is conducive to haze emission reduction: Empirical evidence from China

With the acceleration of industrialization, haze pollution has become a severe environmental pollution problem, and green technology innovation is one feasible way to alleviate it. Based on the PM2.5 concentration data of 30 provinces in mainland China from 2011 to 2017, we use a spatial panel model to investigate the spatial characteristics of haze pollution and examine the impact of green technology innovation on it. Results show that haze pollution has spatial correlation and a time lag. Its spatial correlation is associated with geographical distance as well as the compound influence of distance and economic development. Green technology innovation and foreign investment have inhibitory and negative spillover effects on haze pollution. Industrial structure and energy consumption structure play a partial intermediary role between green technology innovation and haze pollution, and the former has a significant negative spillover, while the latter has a positive effect. To reduce haze pollution, China should improve the level of green technology innovation, use foreign investment wisely, and enhance policy support and guidance. It should also promote the rationalization of industrial structure, optimize energy structure and implement energy substitution. Finally, it is crucial that it should strengthen regional collaborative governance and build a multi-agent governance system.