It’s Not Easy Building Green: The Impact of Public Policy, Private Actors, and Regional Logics on Voluntary Standards Adoption

Through the Looking‐Glass: The Impact of Regional Institutional Logics and Knowledge Pool Characteristics on Opportunity Recognition and Market Entry

“…Logics provide a basis of rational action for individual and organizational behavior, through a specific set of underlying values and beliefs (Cobb et al, 2016;Thornton et al, 2012). Institutional logics are instantiated within a geographic region when present both in cultural beliefs and materially observable organizational practices (Greenwood et al, 2010;Lounsbury, 2007;York et al, 2018). For example, Lee and Lounsbury (2015) discuss how regional differences in proenvironmental logics originate from deep-rooted, historical differences in local ideologies of ecological conservation (Delmas et al, 2007;Meek et al, 2010;York and Lenox, 2014).…”

“…Regional proenvironmental logics. We followed the state-of-the-art for quantitative logics research to measure the prevalence of a regional proenvironmental logic by constructing multi-item factors of instantiated, observable practices and aligned beliefs (Cobb et al, 2016;York et al, 2018). Following the approach outlined by Lee and Lounsbury (2015), we obtained data on the total number, revenue, and assets of environmental social movement organizations (source: National Center of Charitable Statistics).…”

“…These measures proxy for observable instantiated practices aligned with a regional proenvironmental logic. Next, to measure proenvironmental belief systems in MSAs, we used data on the voting patterns of local congressional district members on environmental issues (source: League of Conservation Voters Scorecard (LCV)) following prior studies (Delmas et al, 2007;York and Lenox, 2014;York et al, 2018). We identified spatial overlaps between congressional districts and MSAs, and calculated (1) Specialization jk = ∑ � size of cleantech subsector knowledge pool ijk ∕ size of cleantech knowledge pool jk � 2 a population-weighted average LCV score for each MSA-year observation.…”

Logics, Leaders, Lab Coats: A Multi‐Level Study on How Institutional Logics are Linked to Entrepreneurial Intentions in Academia

“…Also, adding this insignificant interaction term decreased the p ‐value of the interaction between organizational‐level commercialization logic and leaders’ entrepreneurial track records from p = 0.02 (Model 8) to p = 0.11 (Model 10). Given the significant correlation between the two interaction terms (r = 0.42, p = 0.00), this decrease most likely follows from increased collinearity, which reduces efficiency and increases the risk of Type II error (Wooldridge, ; York et al, ). Additional analyses support this assessment .…”

Shine on Me: Industry Coherence and Policy Support for Emerging Industries

“…One side of the debate argues that the main mechanism underpinning identification and behavior (sanction or support) is familiarity with memorized prototypes and perceived similarity among a category's members (Hsu, Hannan, and Koc xak, 2009;Negro, Hannan, and Rao, 2011). The other side stipulates that, in business situations, category evaluation resembles a satisfaction principle by which an audience looks for elements offered by the entities that best fit its needs (Paolella and Durand, 2016;Zuckerman, 2017). Consistent with the former account, we find that regulatory support is significantly less likely when members' identities do not accord with the industry category's identity, rendering the category incoherent.…”