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Digital media platforms on one hand are tools of communication. On the other hand, it is a site where narratives are shared among members of various communities. Thus providing a space to create identities and educate audiences about behaviors toward “them” from “us.” This chapter will highlight how the narratives of Aboriginal Australian women discriminatory issues are conveyed and discussed on Twitter. In attempting so, this chapter will highlight whether the digital space has contributed to equality in the society or is it attempting to reassert the existing hegemonic discourses and status in the Australian Community. Accordingly, this research suggests policies that could help create emancipatory pedagogy.

This article aims to explore (1) specific frames of dyadic relationship in policy network beyond a simplistic dichotomy of “friend or foe” and (2) the multi-dimensional drivers behind the framing patterns.

To that end, the interviews with the key actors in a nuclear energy policy network in South Korea were conducted, and their relationships in terms of three dimensions were analyzed: belief accordance, communication frequency and resource symmetry.

As a result, 12 relationships that can occur in the policy networks were identified: helping, collaborating, cooperating, unconcerned, stabilizing, observing, pushing, confronting, challenging, ignoring, watching and avoiding. These 12 frames were observed in various in-/congruent patterns between network actors.

The findings provide theoretical and practical implications on why and how the network actors may assess one another through the 12 discrete frames, which are drawn from the three dimensional drivers of belief accordance, communication frequency and resource symmetry.

Corporate social responsibility (CSR) communication covered by the news media is considered as more credible and effective in shaping public perceptions toward corporations than CSR shared by corporations themselves. This is particularly true when CSR is about corporations with social stigma inherent in business practices. This study examines the CSR publicity of stigmatized industries from the journalism lens.

A content analysis was conducted with CSR stories from 2019 to 2020 by USA newspapers (n = 348).

Results of this study showed that the overall volume of CSR from stigmatized industries has decreased, with fewer responses to the recent pandemic. Further, the media brought promotional CSR activities and the business motives behind the activities into focus. Opposing patterns were found for CSR of non-stigmatized industries presented with philanthropic activities based on corporations' social motives to help communities. Similarly, economic and legal responsibilities reflected in the CSR pyramid were more prominently reported for stigmatized industries, and ethical and discretionary responsibilities appeared more frequently for non-stigmatized industries.

Integrating business and media literature, this study enriches scholarly discussions on media processes and effects for CSR communication. This study also provides practical implications for stigmatized industries by highlighting more authentic and careful approaches for CSR communication to earn positive publicity.

This study provides social implications by highlighting the importance of CSR communications through the lens of news media when corporations are socially stigmatized.

Stigmatized industries are known to be active in CSR communication to nullify social stigma surrounding themselves. The authors' findings provide empirical evidence suggesting that not all publicity benefits CSR communication for stigmatized corporations.

According to the Indian Sign Language Research and Training Centre (ISLRTC), India has approximately 300 certified human interpreters to help people with hearing loss. This paper aims to address the issue of Indian Sign Language (ISL) sentence recognition and translation into semantically equivalent English text in a signer-independent mode.

This study presents an approach that translates ISL sentences into English text using the MobileNetV2 model and Neural Machine Translation (NMT). The authors have created an ISL corpus from the Brown corpus using ISL grammar rules to perform machine translation. The authors’ approach converts ISL videos of the newly created dataset into ISL gloss sequences using the MobileNetV2 model and the recognized ISL gloss sequence is then fed to a machine translation module that generates an English sentence for each ISL sentence.

As per the experimental results, pretrained MobileNetV2 model was proven the best-suited model for the recognition of ISL sentences and NMT provided better results than Statistical Machine Translation (SMT) to convert ISL text into English text. The automatic and human evaluation of the proposed approach yielded accuracies of 83.3 and 86.1%, respectively.

It can be seen that the neural machine translation systems produced translations with repetitions of other translated words, strange translations when the total number of words per sentence is increased and one or more unexpected terms that had no relation to the source text on occasion. The most common type of error is the mistranslation of places, numbers and dates. Although this has little effect on the overall structure of the translated sentence, it indicates that the embedding learned for these few words could be improved.

Sign language recognition and translation is a crucial step toward improving communication between the deaf and the rest of society. Because of the shortage of human interpreters, an alternative approach is desired to help people achieve smooth communication with the Deaf. To motivate research in this field, the authors generated an ISL corpus of 13,720 sentences and a video dataset of 47,880 ISL videos. As there is no public dataset available for ISl videos incorporating signs released by ISLRTC, the authors created a new video dataset and ISL corpus.

Set-based design (SBD) is a lean tool widely adopted for improving design processes and providing value maximization to clients. The purpose of this paper is to present the development and testing of a lean simulation game that incorporated point-based and SBD principles. The objective of the game was to enhance learning of lean design management among construction students.

After a thorough and comprehensive literature review consisting of secondary data in journal papers, books, thesis references and primary data in the form of interviews with lean practitioners, the simulation game prototype was developed. The testing of the game was carried out with a study group. Data were collected during the gameplay with the help of a questionnaire survey on a confidence scale and Likert scale and assessed using the Wilcoxon signed-rank test, histogram, one-sample t-test and false discovery rate (Benjamini–Hochberg) correction method.

The data collected both pre- and post-simulation showed an increase in average confidence in understanding from 3.33 to 3.89, a 16.7% rise. The data was further interpreted by using Wilcoxon signed-rank test, indicating that the post-simulation learning experience was significantly better than the pre-simulation one. Promising positive results were obtained for the questions on game design, engagement and understanding of point-based design and SBD concepts.

The simulation game helps bridge the gap between knowledge building and real-life by effectively imitating the process. The game facilitates a dynamic and critical approach toward developing new educational simulation games and their successful incorporation in propagating lean principles in the construction industry.

Do digital technologies of early 21st century capitalism promote or reduce consumer sovereignty? This chapter addresses this question by examining John Kenneth Galbraith’s critique of consumer sovereignty during the post-war period of industrial society and looks at the insights he provides to understand the impact of platform capitalism on consumer sovereignty today. This chapter has the following sections: (1) I review the main postulates of Galbraith’s theory; (2) I highlight the main differences between traditional advertising and online behavioral advertising; (3) I explain how online behavioral advertisement strengthens Galbraith’s dependence effect and revised sequence theories; (4) I then discuss normative challenges raised by digital platform corporations to individual sovereignty; and (5) finally, I argue that platform capitalism is a mature form of Galbraith’s “new industrial state.”

This paper explores the strategies adopted by purchasing firms to streamline relationships with suppliers amid the COVID-19 outbreak.

This study employed a multiple case study method and conducted 42 semi-structured interviews with procurement managers from six firms in the United Arab Emirates.

This study reveals six helpful strategies that purchasing firms can undertake to streamline supplier relationship management (SRM) in the wake of COVID-19. Precisely, purchasing firms are revising supply chain costs, planning orders in advance, sharing critical information with suppliers, planning major contingencies, developing a robust relationship with suppliers (e.g. partnership) and finally, improving the supplier's visibility.

This study comes with certain limitations. First, the results are based on a limited number of 42 interviewees. Hence, the study’s results cannot be generalized to a broader population. Second, the data were collected based on the cause and effect relationship.

The findings of this study can help purchasing firms learn and use new appropriate strategies to manage the relationship with their suppliers in the midst of the COVID-19 outbreak.

This study contributes to SRM literature by unveiling six distinct strategies (such as revising supply chain costs, planning orders in advance, sharing critical information, etc.) that purchasing firms have employed to develop a robust and healthy working relationship with the suppliers in the midst of the COVID-19 outbreak.

This paper aims to investigate how the Japanese media conveyed the country’s foreign aid policy and analyse how framing biases in the news differ depending on which language (either Japanese or English) was used in the broadcasts.

This study uses a qualitative single case-study design and conducts a content analysis. The study uses news videos about the fifth Tokyo International Conference on African Development aired on YouTube by the Japanese media using Japanese and English.

The findings reveal subtle but notable differences in the patterns of the framing biases in the Japanese media’s news aired in Japanese intended for the domestic audience, and in the news on the same topic broadcast in English to the international audience.

The limitation of the study is the rather small data set used for the single case study of one event.

Framing biases could lead the general public in a monolingual society to a more skewed view of their government’s policy and its activities abroad. This could be an obstacle to developing a common ground for global issues and cross-border policy agendas.

The study explores an under-researched function of language in international affairs. It highlights how the mass media in a non-English-speaking country uses a dual approach to framing news while addressing different audiences. To the best of the author’s knowledge, the context that this paper deals with is novel because there are limited studies on the nexus between the influence of language choices and media logic in the field of international business.

This paper explores how performance-management systems are understood and framed through the use of rhetoric and language within universities, where not-for-profit, charitable goals are (or should be) central. It addresses the issues of: how strategic rhetorical frames are used by university actors; and how these relate to actors' primary frames and reactions to performance-management practices. The study focuses on the case of UK universities, taking into consideration both old and newer institutions.

This study adopts a case-study approach, relying on 28 interviews with key-academic actors involved in the design and implementation of university performance-management systems in four UK universities.

The research highlights the important effect of primary frames over the strategic frames that are mobilised to achieve desired outcomes or individual advantage. In Business disciplines, the consistency between actors' primary frames and managerial and performance-management tools introduced into universities makes such disciplines a fertile ground for these practices to be embraced. This is not the case with Natural Sciences.

While framing a new practice consistently with existing/prevailing primary frames may be a winning strategy in the short term, in the long term, those tasked with introducing new practices should consider that the prevalence of a certain view of the world has the potential to hamper innovation and learning.

The paper contributes to advance our understanding of the interaction between individual primary and strategic frames, as well as academic staff's reactions and interpretations of performance-management practices in universities as knowledge-intensive, not-for-profit organisations.

Blockchain is a disruptive technology that has matured to deliver robust, global, IT systems, yet adoption lags predictions. The authors explore barriers to adoption in the context of a global challenge with multiple stakeholders: integration of carbon markets. Going beyond the dominant economic-rationalistic paradigm of information system (IS) innovation adoption, the authors reduce pro-innovation bias and broaden inter-organizational scope by using technological frames theory to capture the cognitive framing of the challenges perceived within the world’s largest carbon emitter: China.

Semi-structured interviews with 15 key experts representing three communities in China’s carbon markets: IT experts in carbon markets; carbon market experts with conceptual knowledge of blockchain and carbon market experts with practical blockchain experience.

Perceived technical challenges were found to be the least significant in explaining adoption. Significant challenges in five areas: social, political legal and policy (PLP), data, organizational and managerial (OM) and economic, with PLP and OM given most weight. Mapping to frames developed to encompass these challenges: nature of technology, strategic use of technology and technology readiness resolved frame incongruence that, in the case explored, did not lead to rejection of blockchain, but a decision to defer investment, increase the scope of analysis and delay the adoption decision.

Increases scope and resolution of IS adoption research. Technological frames theory moves from predominant economic-rational models to a social cognitive perspective. Broadens understanding of blockchain adoption in a context combining the world’s most carbon emissions with ownership of most blockchain patents, detailing socio-technical challenges and delivering practical guidance for policymakers and practitioners.