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With its preference for small government and fiscal responsibility, the Tea Party movement claims to be conservative. Yet, their tactics and rhetoric belie this claim. The shrill attacks against Blacks, illegal immigrants, and gay rights are all consistent with conservatism, but suggesting that the president is a socialist bent on ruining the country, is beyond politics. This chapter shows that Richard Hofstadter's thesis about the “paranoid style” of American politics helps characterize the Tea Party's pseudo-conservatism. Through a comprehensive analysis of qualitative interviews, content analysis and public opinion data, we find that Tea Party sympathizers are not mainstream conservatives, but rather, they hold a strong sense of out-group anxiety and a concern over the social and demographic changes in America.

In this special section of Political Power and Social Theory, we present the work of scholars from various disciplines documenting and analyzing the Obama phenomenon. The work in this section, including both theoretical and empirical analysis, is an early step in the much-needed academic discussion on Obama and racial politics in the contemporary United States. We offer this compendium as a call-to-arms to progressives and leftists, encouraging the revival of radical critique of Obama's discourse and policies instead of the fulsome praise or confused silence that has so far greeted Obama from the left.

Public perceptions of the authenticity of social media influencers (SMIs) are a key driver of the latter's persuasiveness as brand endorsers. Despite its importance, no measurement scale currently exists for perceived authenticity of social media influencers (PASMIs). This prevents practitioners from effectively assessing consumers' perceptions of an influencer's authenticity prior to a potential partnership. To provide better guidance, this research develops and validates a scale of PASMI as well as examines the relationships between the underlying dimensions of the scale and key consumer behavior variables.

The current research consists of two studies: the first study constructs a scale; the second validates it. In Study 1, items were generated from existing scales as well as from qualitative responses. These items were revised based on feedback provided by an independent group of reviewers. Furthermore, an online survey was conducted to purify the items. In Study 2, the scale was validated with a new sample.

Results suggest that perceived SMI authenticity is a multidimensional construct consisting of sincerity, truthful endorsements, visibility, expertise and uniqueness. Each of the five dimensions has varying effects on consumers' evaluation of an SMI, willingness to follow an SMI, and intention to purchase products that SMIs recommend.

This research extends theoretical work on authenticity by developing and validating a scale as well as delving into the construct of perceived SMI authenticity. Practical implications are provided for marketers and SMIs.

Sustainable recycling activities in higher education institutions (HEIs) are crucial as it serves as a common benchmark to a community that is socially and environmentally responsible. This chapter presents a suitable case study of HEIs in Malaysia reporting on recycling rate, monitoring the recycling patterns, and matching the significant recycling policy in the HEIs. Therefore, four HEIs including Universiti Teknologi Malaysia (UTM), Universiti Malaya (UM), Universiti Kebangsaan Malaysia (UKM) and Universiti Putra Malaysia (UPM) were selected as the suitable case studies to examine the practices of recycling activities. These four HEIs are Malaysian research universities that are ranked in the top 300 in the UI Green Metric World University Rankings. Several findings and previous works were reviewed; further steps to set a recycling target were identified and served as a guidance of the standard recycling rate. Results showed the selected HEIs reflected the low percentage of recycling rate in the range of 0.03–29.26%, depending on its practices and policy. Three phases of planning have been structured to target the recycling rate at HEIs in Malaysia with the First Plan (2025), Second Plan (2035) and Third Plan (2040) towards the recycling rates of 20%, 30% and 40%, respectively. The recommendations for the HEIs formulate recycling policies and recycling rates, and for waste management, academia and research centres to play a more active role in increasing the efficiency of recycling activities for a positive impact on the recycling rate in HEIs.

Motivated by recent research indicating that the operational performance of an enterprise can be enhanced by building a supporting data-driven environment in which to operate, this paper presents a simulation framework that enables an examination of the effects of applying smart manufacturing principles to conventional production systems, intending to transition to digital platforms.

To investigate the extent to which conventional production systems can be transformed into novel data-driven environments, the well-known constant work-in-process (CONWIP) production systems and considered production sequencing assignments in flowshops were studied. As a result, a novel data-driven priority heuristic, Net-CONWIP was designed and studied, based on the ability to collect real-time information about customer demand and work-in-process inventory, which was applied as part of a distributed and decentralised production sequencing analysis. Application of heuristics like the Net-CONWIP is only possible through the ability to collect and use real-time data offered by a data-driven system. A four-stage application framework to assist practitioners in applying the proposed model was created.

To assess the robustness of the Net-CONWIP heuristic under the simultaneous effects of different levels of demand, its different levels of variability and the presence of bottlenecks, the performance of Net-CONWIP with conventional CONWIP systems that use first come, first served priority rule was compared. The results show that the Net-CONWIP priority rule significantly reduced customer wait time in all cases relative to FCFS.

Previous research suggests there is considerable value in creating data-driven environments. This study provides a simulation framework that guides the construction of a digital transformation environment. The suggested framework facilitates the inclusion and analysis of relevant smart manufacturing principles in production systems and enables the design and testing of new heuristics that employ real-time data to improve operational performance. An approach that can guide the structuring of data-driven environments in production systems is currently lacking. This paper bridges this gap by proposing a framework to facilitate the design of digital transformation activities, explore their impact on production systems and improve their operational performance.