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Purpose – This chapter demonstrates the power that Google, Apple, Facebook, Amazon and Microsoft (or the “GAFAM”) exercise over platforms within society, highlights the alt-right’s use of GAFAM sites and services as a platform for hate, and examines GAFAM’s establishment and use of hate content moderation apparatuses to de-platform alt-right users and delete hate content. Approach – Drawing upon a political economy of communications approach, this chapter demonstrates GAFAM’s power in society. It also undertakes a reading of GAFAM “terms of service agreements” and “community guidelines” documents to identify GAFAM hate content moderation apparatuses. Findings – GAFAM are among the most powerful platforms in the world, and their content moderation apparatuses are empowered by the US government’s cyber-libertarian approach to Internet law and regulation. GAFAM are defining hate speech, deciding what’s to be done about it, and censoring it. Value – This chapter probes GAFAM’s hate content moderation apparatuses for Internet platforms, and shows how GAFAM enable and constrain the alt-right’s hate speech on their platforms. It also reflexively assesses the politics of empowering GAFAM to de-platform the alt-right.

Massive open online courses (MOOCs), a Taylorist attempt to automate instruction, help make course delivery more efficient, economical and better. As an implementation of Digital Taylorism Implementation (DTI), MOOCs enable individuals to obtain an occupation-oriented education, equipping them with knowledge and skills needed to stay employable. However, learning through online platforms can induce tremendous amounts of technology-related stress in learners such as complexity of platforms and fears of redundancy. Thus, the aim of this paper is to study how student perceptions of DTI and technostress (TS) influence their perceived employability (PE). The role of TS as a mediator between DTI and PE has also been studied.

Stratified sampling technique has been used to obtain data from 305 students from 6 universities. The effect of DTI and TS on PE, and the role of TS as a mediator, has been examined using the partial least squares (PLS) structural equation modelling approach with SMART PLS 4.0. software. Predictive relevance of the model has been studied using PLSPredict.

Results indicate that TS completely mediates the relationship between DTI and PE. The model has medium predictive relevance.

Learning outcomes from Digitally Taylored programs can be improved with certain reforms that bring the human touch to online learning.

This study extends Taylorism literature by linking DTI to PE of students via technostress as a mediator.

The purpose of this paper is to criticize the current US tax system and explain in what ways taxation harms the economy. Taxes are coercive. Taxpayers are forced to pay individual income taxes. If the taxpayer refuses, several adverse consequences will unfold against him even including jail‐time. Taxes diminish taxpayer's disposable income and leave consumer's wants unattended. The money they could have used to fulfil their wants goes instead to the government in the form of taxes.

Taxation is analyzed from an economic point of view.

Progressive taxation is harmful to the economy because it punishes successful individuals. The more they earn (a reflection of the productive value they bring to the market), the more they have to pay. Meanwhile less productive citizens paying little or no tax are receiving “benefits” derived from the investment of more successful taxpayers. These are inefficient since they reduce incentives. Taking money from Peter and giving it to Paul decreases the incentive, both have to earn an income and be productive. Finally, the paper exposes the influence government has over taxpayer's decisions.

We live at a time in the US when President Obama is calling for greater taxation for the rich, and the Republicans are rejecting this initiative on the ground that it is “class war.” A study of taxation at this point cannot help but shed light on this controversy.

Societal changes and technological development have brought about drastic lifestyle change in the past decades. This drastic change is evident when comparing the lifestyle and general characteristics of generations who have been born immersed in this technological context to those of other generations. The objective of this paper is to analyze brand image (BI) as determinant of brand attitude (AB), and the moderating effect of brand equity (BE), in the use of online information among millennial shoppers from Colombia. In general, the purpose of this paper is to contribute to existing literature related to the importance of generational membership in classifying individuals regarding brand perception (BI, AB and BE) and association with the use of shopping channels between different generations.

A hierarchical regression model is estimated with a sample of university students in Colombia who are considered potential coffee consumers, and who were classified as millennials based on their age.

The results support that BE effect has a greater impact on AB when consumers have a good BI. Millennials also use more online communication sources to create brand perceptions.

Nevertheless, few studies have concurrently analyzed the characteristics of brand building and types of sources of information (online vs offline). This paper attempts to analyze the behavior of millennial consumers and the use of information channels online vs offline to manage brand and analyze BI, AB and BE.

Based on dual information asymmetry, the two-stage segmented compensation mechanism for technological innovation of civilian enterprises’ participation in military (CEPIM) has been discussed.

On the basis of the traditional principal-agent problems, the incentive compatibility condition is introduced as well as the hybrid incentive compensation model is established, to solve optimal solution of the compensation parameters under the dynamic contract condition and the validity is verified by numerical simulation.

The results show that: (1) The two-stage segmented compensation mechanism has the functions of “self-selection” and “stimulus to the strong”, (2) It promotes the civilian enterprises to obtain more innovation benefit compensation through the second stage, (3) There is an inverted U-shaped relationship between government compensation effectiveness and the innovation ability of compensation objects and (4) The “compensable threshold” and “optimal compensation threshold” should be set, respectively, to assess the applicability and priority of compensation.

In this paper, through numerical simulation, the optimal solution for two-stage segmented compensation, segmented compensation coefficient, expected returns for all parties and excess expected returns have been verified under various information asymmetry. The results show that the mechanism of two-stage segmented compensation can improve the expected returns for both civilian enterprises and the government. However, under dual information asymmetry, for innovation ability of the intended compensation candidates, a “compensation threshold” should be set to determine whether the compensation should be carried out, furthermore an “optimal compensation threshold” should be set to determine the compensation priority.

The purpose of this paper is to explore the antecedents of Indian firms practicing green manufacturing practices and their impact on extended supply chain performance.

In this paper the authors have adopted systematic literature review (SLR) to derive research objectives and questions. In order to answer research questions the authors have proposed a theoretical framework and derived research hypotheses. The authors identified constructs and items through extant literatures and developed a structured questionnaire which was pretested before using for final survey. The data were collected in two phases and also performed wave analysis to check non-response bias to avoid any significant impact of non-response bias on statistical analysis. The data has been used to conduct exploratory factor analysis using varimax rotation which reduces variables into five parsimonious and orthogonal factors. The factor analysis output was further used as an input of regression analysis.

The factor analysis output has further validated the findings from literature review. The factor analysis output suggests that total quality management (TQM), supplier relationship management (SRM), R & D and technology and lean manufacturing practices are important determinants of Indian firms practicing green manufacturing practices which impact extended supply chain performance. The regression analysis output has further established that TQM and R & D and technology are strong determinants of extended supply chain performance. However, present study does not support SRM and lean manufacturing practices from respondent’s perspective. However, it further needs to be explored.

The present study is limited to medium-sized manufacturing firms. Second, the conclusive model explains only 31.9 percent of the total extended supply chain performance. The study provides an insight to managers that those companies which have implemented TQM and green technology have realized superior performance in comparison to those which have not successfully implemented.

The present study is toward understanding Indian green manufacturing practices.