Dynamic Strategic and Organizational Capabilities

In the reviewed literature, dispersion was identified in the concepts used in the definition of dynamic capacities (CD), incomplete theories were also observed on which the proposed concepts were based, which has hindered the development of theoretical knowledge and the conduct of research empirical. The effort of the authors to solve this problem has been partial since it was analyzed from the perspective of strategy theory, the theory of organizations and administration (TOA) was not considered, this situation affected the clarity and precision of the CD. The objective was raised, to build the concept of dynamic strategic and organizational capacities (CDEO) based on the theories of strategy (TE), organizations (TO) and administration (TA), in order to modernize the traditional concept dynamic capabilities (CD) and provide a solution to the concept dispersion problem. Originality. Integration of theories around the CDEO construct, which will allow the theoretical and empirical development.

Social Media Influence and Mobile Government Adoption

The study focuses on developing a mobile government (MG) adoption framework with a key consideration on social media (SM) influence. As social media is now becoming a prominent channel for various marketing activities knowing its impact on MG adoption is crucial. Further, as MG is constantly evolving, a deeper understanding on the adoption behaviour of the citizens is quintessential for strategizing its implementation. Thus, a detailed review of the articles on citizen's perspective on MG adoption and social media, was performed. It was found that the integration of theories like DOI and URT, which are critical during the evolving stages of MG adoption is significant. The other key contribution is the consideration of social media and its impact on MG adoption. Further, the factors such as awareness, social influence, and facilitating condition were also found to be very crucial. The SM-MG adoption framework developed integrating the theories like DOI, URT along with Social media is validated using a Structural Equation Modelling and results of which are discussed in detail.

From “Ridiculous” to “Glad to Have Helped”: Debriefing News Delivery and Improved Reactions to Science in Milgram’s “Obedience” Experiments

Commentators on Milgram’s classic and controversial experiments agree that better integration of theories of “obedience to authority” with current archival research on participants’ viewpoints is essential in explaining compliance. Using conversation analysis, we examine an archived data source that is largely overlooked by the Milgram literature, yet crucial for understanding the interactional organization of participants’ displayed perspectives. In hundreds of interviews conducted immediately after each experiment, participants received one of two types of debriefing: deceptive or full. Analyzing 56 full debriefings from three experimental conditions, we find they featured interactional structuring as news delivery sequences and that debriefing news could transform initially ambivalent or negative assessments of the experiment into positive ones. Such findings reveal limitations of engaged followership, the currently dominant theory of “obedience.” Following discussion of improved assessments’ relevance to public attitudes toward science, we conclude that multiple social psychological processes were at work in producing Milgram’s results.

On the proportional abundance of species: Integrating population genetics and community ecology

ABSTRACTThe frequency of genes in interconnected populations and of species in interconnected communities are affected by similar processes, such as birth, death and immigration. The equilibrium distribution of gene frequencies in structured populations is known since the 1930s, under Wright’s metapopulation model known as the island model. The equivalent distribution for the species frequency (i.e. the species proportional abundance distribution (SPAD), at the metacommunity level, however, is unknown. In this contribution, we develop a stochastic model to analytically account for this distribution (SPAD). We show that the same as for genes SPAD follows a beta distribution, which provides a good description of empirical data and applies across a continuum of scales. This stochastic model, based upon a diffusion approximation, provides an alternative to neutral models for the species abundance distribution (SAD), which focus on number of individuals instead of proportions, and demonstrate that the relative frequency of genes in local populations and of species within communities follow the same probability law. We hope our contribution will help stimulate the mathematical and conceptual integration of theories in genetics and ecology.