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This study aims to analyze the platforming scenario at a Brazilian university as well as the data security process for students and professors.

This research brings an analysis through a qualitative approach of the platformization process in a Brazilian teaching institution.

The results point to a lack of knowledge on the part of teachers regarding data security in the platforming scenario, as well as the lack of effectiveness of institutions in protecting student data.

Within the Brazilian scenario, this research seeks to contribute to the discussion on platformization in view of the gaps and existing demands on this process in the country.

This study aims to examine the necessity effects of big data analytics capabilities (BDAC) on decision-making performance (DMP), particularly in the public sector.

The authors used the combined methods of partial least square structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) to test the hypothesized relationships.

The findings show that the presence of all three BDAC (infrastructure, management and personnel) is significant and necessary to achieve higher levels of DMP. Specifically, the results revealed big data management capabilities to be of higher necessity to achieve the highest possible DMP. The findings provide public-sector practitioners with insights to support the development of their BDAC.

Time-sensitive domains such as the public sector require insight and quality decision-making to create public value and achieve competitive advantage. This study examined BDAC in light of the combined methods of (PLS-SEM) and NCA to test the hypothesized relationships in the public sector context.

The effects of big data in this present age are highly significant, and big data have become more applicable to society. Big data technology has been adopted by many, and its applications are utilized at national, organizational, and industry levels. This transformation of industries due to big data is changing working practice in academia, business, the humanitarian sector, and government, as they offer insights and positive effects across all sectors, making legal, economic, political, social, and ethical impacts in our world and producing innovation, efficiency, better decision-making, and a greater return on investments. This paper reviews the social implications, risks, challenges, and present and future opportunities of big data.

This paper aims to investigate the literacy corpus regarding the potential of big data to improve public decision-making processes and direct these processes toward the creation of public value. This paper presents a map of current knowledge in a sample of selected articles and explores the intersecting points between data from the private sector and the public dimension in relation to benefits for society.

A bibliometric analysis was performed to provide a retrospective review of published content in the past decade in the field of big data for the public interest. This paper describes citation patterns, key topics and publication trends.

The findings indicate a propensity in the current literature to deal with the issue of data value creation in the private dimension (data as input to improve business performance or customer relations). Research on data for the public good has so far been underestimated. Evidence shows that big data value creation is closely associated with a collective process in which multiple levels of interaction and data sharing develop between both private and public actors in data ecosystems that pose new challenges for accountability and legitimation processes.

The bibliometric method focuses on academic papers. This paper does not include conference proceedings, books or book chapters. Consequently, a part of the existing literature was excluded from the investigation and further empirical research is required to validate some of the proposed theoretical assumptions.

Although this paper presents the main contents of previous studies, it highlights the need to systematize data-driven private practices for public purposes. This paper offers insights to better understand these processes from a public management perspective.

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 study aims to investigate accounting practices within a non-Western (indigenous) context and provide insights into alternative accounting approaches and perspectives.

This study adopts an interpretive research approach to gain an in-depth insight into the functioning of accounting in Solomon Islands’ unique cultural and social-political context. In-depth interviews were conducted to gain insights into the perceptions and meanings held by participants concerning Western accounting practices and their limitations.

The findings provide unique insights into different interpretations of accounting and accountability through two distinct cultural lenses – Western and non-Western. The complimentary and rival explanations on what accounting and accountability are doing and what accounting and accountability should be doing will help close the gap in knowledge and contribute to shaping a better world for indigenous people.

Implications for practice involve fostering collaborative efforts among individuals, communities, leaders and institutions to harness cultural strengths through accounting. Additionally, continuous capacity building and education are essential to develop accounting skills, enhance financial literacy, promote professional expertise and build a pool of skilled accountants with local knowledge to support indigenous communities.

This study is original and provides novel insights supporting the need for accounting to recognise the importance of indigenous perspectives, adapt to cultural sensitivity and integrate cultural norms and values into accounting practices to make an impact and achieve greater social and moral accountability.

The purpose of this study is to situate information and communications technology (ICT) “transparency reports” within the theoretical framework of corporate social responsibility (CSR) reporting. The self-denominated transparency report serves a dual purpose of highlighting an ICT company’s socially responsible behavior while also holding government agencies accountable for surveillance and requests for user data. Drawing on legitimacy theory, neo-institutional theory and stakeholder theory, this exploratory study examines how ICT companies are implementing industry-specific voluntary disclosures as a form of CSR.

A content analysis of ICT voluntary nonfinancial reporting (N = 88) was used to identify motivating principles, the company positioning to stakeholders, the relevant publics and intended audience of these disclosures and the communication strategy used to engage primary stakeholders.

Key findings suggest that most ICT companies used transparency reporting to engage consumers/users as their primary stakeholders and most used a stakeholder information strategy. A majority of ICT companies signaled value-driven motives in their transparency reports while also positioning the company to stakeholders as a protector of user data and advocate for consumer rights.

This study enriches the literature on CSR communication strategies and reporting practices by extending it to an underdeveloped topic of study: novel voluntary disclosures as CSR activities of prominent ICT companies (i.e. “Big Tech”). These polyphonic reports reflect varied motives, varied positioning and varied stakeholders. For market-leading companies, transparency reporting can serve to legitimize existing market power. And for midsize and emerging companies, transparency reporting can be used to signal adherence to industry norms – set by market-leading companies.

This study primarily aims at assessing Faculty Competences Development Components (FCDCs) that help in the development of educational leaders. The study further formulates a model using seven latent constructs that explain the development of the mechanism of development of educational leaders and extend the benefits of their development to different stakeholders including faculty, educational institutions and society at large.

A systematic review of the literature was conducted to identify various FCDCs to construct a conceptual framework. Later, this conceptual framework was tested through empirical research using the structural equation modeling (SEM) technique carried out with respect to technical institutions of Punjab (India).

The study identified that organizational roles are of the highest importance for the competences development of educational leaders followed by teachers’ attributes and teachers’ roles. The study’s findings also revealed that FCDCs significantly impact beneficiaries by developing competent educational leaders as mediators between the FCDCs and beneficiaries link. The biggest beneficiaries of development are faculty members of these institutes in terms of their performance enhancements.

The study is unique in terms of developing a model for the competences development of educational leaders and helpful in understanding various benefits of the educational leaders to various educational stakeholders.

The paper argues that the classical Marxist theory of capitalist accumulation is inadequate to understand new forms of capitalism and their accumulation processes determined by “platforms” and “big data”. Big data platforms are shaping the processes of production, labour, the price of products and market conditions. “Digital platforms” and “big data” have become an integral part of the processes of production, distribution and exchange relations. These twin pillars are central to the capitalist accumulation processes. The article argues that the classical Marxist theory of capitalist accumulation is inadequate to understand new forms of capitalism and their accumulation processes determined by “platforms” and “big data”.

As a conceptual paper, this paper follows critical methodological lineages and traditions based on non-linear historical narratives around the conceptualisation, construction and transition of the “Marxist theory of capital accumulation” in the age of platform economy. This paper follows a discourse analysis (Fairclough, 2003) to locate the way in which an artificial intelligence (AI)-led platform economy helps identify and conceptualise new forms of capitalist accumulation. It engages with Jørgensen and Phillips' (2002) contextual and empirical discursive traditions to undertake a qualitative comparative analysis by exploring a broad range of complex factors with case studies and examples from leading firms within the platform economy. Finally, it adopts two steps of “Theory Synthesis and Theory Adaptation” as outlined by Jaakkola (2020) to synthesise, adopt and expand the Marxist theory of capital accumulation under platform capitalism.

This article identifies new trends and forms of data driven capitalist accumulation processes within the platform capitalism. The findings suggest that an AI led platform economy creates new forms of capitalist accumulation. The article helps to develop theoretical understanding and conceptual frameworks to understand and explain these new forms of capital accumulation.

This study builds upon the limited theorisation on the AI and new capitalist accumulation processes. This article identifies new trends and forms of data driven capitalist accumulation processes within platform capitalism. The article helps to understand digital and platform capitalisms in the lens of digital labour and expands the theory of capitalist accumulation and its new forms in the age of datafication. While critiquing the Marxist theory of capitalist accumulation, the article offers alternative approaches for the future.

This paper aims to identify, synthesise and critically examine the extant academic research on the relation between big data analytics (BDA), corporate accountability and non-financial disclosure (NFD) across several disciplines.

This paper uses a structured literature review methodology and applies “insight-critique-transformative redefinition” framework to interpret the findings, develop critique and formulate future research directions.

This paper identifies and critically examines 12 research themes across four macro categories. The insights presented in this paper indicate that the nature of the relationship between BDA and accountability depends on whether an organisation considers BDA as a value creation instrument or as a revenue generation source. This paper discusses how NFD can effectively increase corporate accountability for ethical, social and environmental consequences of BDA.

This paper presents the results of a structured literature review exploring the state-of-the-art of academic research on the relation between BDA, NFD and corporate accountability. This paper uses a systematic approach, to provide an exhaustive analysis of the phenomenon with rigorous and reproducible research criteria. This paper also presents a series of actionable insights of how corporate accountability for the use of big data and algorithmic decision-making can be enhanced.

This paper discusses how NFD can reduce negative social and environmental impact stemming from the corporate use of BDA.

To the best of the authors’ knowledge, this paper is the first one to provide a comprehensive synthesis of academic literature, identify research gaps and outline a prospective research agenda on the implications of big data technologies for NFD and corporate accountability along social, environmental and ethical dimensions.