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This paper aims to explore the effect of interlocking directorates on agency conflicts and corporate performance in the shipping industry.

The authors use social network analysis to discover central nodes in the network of personal and corporate connections in an international sample of 110 listed shipping companies.

Assessing network structure, the authors find that the network of corporate leaders is denser than the network of shipping companies. The network of shipping companies is populated with many isolated nodes; the network of shipping executives and directors is populated with many cohesive groups in which the longest distance between two corporate leaders is two companies. The authors find that interlocking corporate leadership can help resolve agency conflicts in the shipping industry, bearing a negative effect on the magnitude of agency costs. The extent of leadership overlaps is associated with board size, financial leverage and profitability. The relationship between profits and interlocks is bidirectional, implying that interlocking directorates bear a positive effect on asset returns.

The authors map the relational structures in the social networks of companies and company leaders in the shipping industry and discover the cross-sectional determinants of interlocks in the shipping industry. The finding about the effect of interlocks on profitability and agency costs bears policy implications for the design of corporate governance in the shipping industry.

This paper aims to examine the planning and policy processes in relation to the pollution in Lake Taupo. This paper describes and explains the manifestation of the tenets of deliberative democracy and the impediments of mobilising the tenets in the planning and policy-making processes.

This interpretive case study makes sense of interview transcripts, minutes of meetings, media reports and public documents and adopts deliberative democratic theory as the theoretical framework for the interpretive analysis.

Some factors fostered and others challenged the mobilization of the tenets of deliberative democracy. Local government processes facilitated the expression of multiple views in relation to the impacts of human activities on the Lake. Confrontations and tensions were inevitable elements of the deliberative processes. Pre-determined outcomes and domination of local authorities, aiming for environmental sustainability of Lake Taupo, posed as challenges to the operation of deliberative democracy. Some stakeholders need to sacrifice more than others, but recognition of pluralism, conflicts and differences is an essential part of deliberative democracy.

There is scarcity of research that empirically examines local government processes in light of deliberative democratic principles. The study also extends environmental and social studies that have explored the arena approach to accountability and decision-making.

The purpose of this qualitative, multiple-case study paper is to determine whether Irish universities have policies and procedures to address workplace bullying; to determine the views of HR leaders regarding the efficacy of such policies; to explore the experience of HR leaders in the application of such policies; and, to explore which cost-reduction strategies Irish university HR leaders utilized to manage the consequences of workplace bullying.

The participants for this multiple-case study consisted of senior manager grade staff with expertise in the area of study from all seven Irish universities. One on one interviews were conducted with participants to gain an understanding of their experience of dealing with workplace bullying. The analysis of their bullying policies and procedures provided insights about their experiences in the application of policy.

The findings of this study may offer university leaders and a wider audience of managers an understanding of the effect that workplace bullying has on employees and on their organizations.

This study may inform university and business leaders on how to address the problem of workplace bullying effectively.

The findings from this study contribute to the discourse on workplace bullying and may help leaders to understand a phenomenon that costs their institutions a substantial amount in human capital leading to positive social change in their organizations.

The purpose of this paper is to identify and describe the most prominent research areas connected with “Big Data” and propose a thorough definition of the term.

The authors have analysed a conspicuous corpus of industry and academia articles linked with Big Data to find commonalities among the topics they treated. The authors have also compiled a survey of existing definitions with a view of generating a more solid one that encompasses most of the work happening in the field.

The main themes of Big Data are: information, technology, methods and impact. The authors propose a new definition for the term that reads as follows: “Big Data is the Information asset characterized by such a High Volume, Velocity and Variety to require specific Technology and Analytical Methods for its transformation into Value.”

The formal definition that is proposed can enable a more coherent development of the concept of Big Data, as it solely relies on the essential strands of current state-of-the-art and is coherent with the most popular definitions currently used.

This is among the first structured attempts of building a convincing definition of Big Data. It also contains an original exploration of the topic in connection with library management.

Internet of Things (IoT) interconnects many heterogeneous devices to each other, collecting and processing large volumes of data for decision making without human intervention. However, the information security concern it brings has attracted quite a lot of attention, and, at this stage, the smart step would be to analyze the security issues of IoT platform and get to the state of readiness before embarking upon this attractive technology. The purpose of this paper is to address these issues.

IoT risk assessment through the application of the analytical hierarchy process (AHP), a favorite multi-criteria decision making technique, is proposed. The IoT risks are prioritized and ranked at different layers, before which a well-defined IoT risk taxonomy is defined comprising of 25 risks across six layers of the IoT model for developing control and mitigation plans for information security of IoT.

People and processes layer, network layer and applications layer are the top three critical layers with risks like the lack of awareness, malware injection, malicious code injection, denial of service and inefficient policies for IoT practice get the highest priority and rank. Pareto analysis of the overall risk factors revealed that the top ten factors contribute to 80 percent of the risks perceived by information security experts.

The study focuses only on certain predefined constructs or layers of the IoT model traced from legacy studies. It is essential to re-look these constructs on a timely basis to prolong the results’ validity. The study’s empirical scope is confined only to the risk perception of select IoT experts and does not encompass a broader segment of the IoT ecosystem. Therefore, the risks assessment may not be sweeping to a bigger audience.

The study implications are two-fold: one it consolidates the earlier siloed works to intensify the need for risk assessment in the IoT domain, and second the study brings yet another contextual avenue of extending the application AHP and Pareto principle combination. The paper also draws specific critical organizational interventions about IoT risks. A comprehensive approach to prioritizing and ranking IoT risks are present in this research paper.

The contribution of this study to the benchmarking of IoT risk assessment is two-fold. One, a comprehensive risk assessment taxonomy is proposed, and two, the risks are prioritized and ranked to give a convincing reference for the organizations while making information security plans for IoT technology.

This paper aims to propose a conceptual model that will guide development of mobile applications to support value-added business-to-business (B2B) sales activities.

The paper reviews the concepts of context-aware applications and context-marketing, then examines B2B selling and the creation of value, utilizing Terho’s model of value-based selling, and presenting the potential role of context-aware B2B selling in creating value. Terho’s model is then combined with a taxonomy of context modeling to produce step-by-step a conceptual model for developing context-aware B2B sales applications (CABS).

By mapping the context-aware application development taxonomy against each stage of Terho’s “value-based selling” model, the CABS model is proposed. This model provides a platform for the B2B salesforce, their customers and information technology (IT) staff to work together in developing requirements and prototypes for mobile B2B context-aware applications.

The CABS model would require empirical testing to assess its viability and suitability. This would initially be done via focus groups in targeted sales organizations.

The CABS model could utilized by sales staff and their customers to develop requirements for mobile context-aware applications to support B2B activity. In addition, the CABS model could be utilized in joint application design processes to enable sales and IT staff to work together in developing prototype mobile applications.

While context-aware applications are beginning to transform business-to-sale (B2C) sales activities, it is clear that B2B sales could also benefit from these types of applications, but little progress has been made in understanding or developing their potential. The CABS model enables B2B sales staff and their customers to recognize these benefits and facilitate working with IT staff in defining requirements and developing prototypes.

This paper aims to investigate empirically the findings of an analytical impure public good model. The impure public good model described in this study allows for the application of different technologies generating public and private characteristics. The influence of the individual technologies on the total level of (impure) public good provision is of main concern in this study.

After the illustration of the impure public good model, the analytical results are compared to the results of a numerical approach based on climate policy in Germany.

The study shows that comparative static analyses do not always generate clear results. Therefore, the numerical approach is helpful to derive unambiguous results. The paper finds that technologies which exclusively generate private characteristics may have significant effects on total impure public good provision, since they may replace the private characteristics of the impure public good.

This paper provides useful information on the influence of the individual technologies on the total level of (impure) public good provision.

This paper aims to investigate the current state of knowledge in key reporting aspects in relation to sustainability reporting in general and to reflect on their relevance to Global Reporting Initiative (GRI) in particular. In doing so, the major gaps in that knowledge are identified, and the paper proceeds to suggest further research avenues.

The authors conduct a review of papers published in leading journals concerning sustainability reporting to analyse the progress in the literature regarding three important reporting topics: materiality, comparability and assurance.

The review conducted in this study shows that there is still work to be done to ensure high-quality and consistent sustainability reporting. Key takeaways from the review of the extant literature are as follows: there is ongoing debate about the nature of sustainability reporting materiality, and single versus double materiality. Clearer guidance and better contextualisation are seen as essential for comparability, and, as GRI suggests, there is an important link to materiality that needs to be considered. Finally, assurance has not been mandatory under the GRI, but the current development at EU level might lead to the GRI principles being incorporated in the primary assurance standards.

In this paper, the authors review and synthesise the previous literature on GRI reporting dealing with three key reporting aspects.

The authors extract some takeaways from the literature on materiality, comparability and assurance that will all be key challenges for GRI in the future.

This paper provides an updated review of the literature on GRI reporting dealing with three key reporting aspects.

The paper seeks to examine whether or not wealth effects and changes in the systematic risk associated with the return structure of the Greek commercial chartered banks, investment firms and insurance companies resulted from the passage of the European Union Banking Directives over the period 1988‐1997.

Using monthly stock returns from the DataStream database for the period January 1988 to December 1997, the separate effects of each of the EU Banking Directives on Greek commercial chartered banks, investment firms and insurance companies are tested. The “seemingly unrelated regression” methodology is utilized to test three portfolios consisting of an equally weighted banking, investment and insurance index made up of major Greek banks, investment firms and insurance companies respectively. The Greek Market Index serves as a proxy for the market portfolio. All the aforementioned indices were converted to returns using the log difference method.

Empirical results indicate that the systematic risk dramatically increased for Greek insurance and investment firms and moderately increased for Greek commercial chartered banks through the tabling of the Free Capital Movement Directive in the Greek Parliament. After controlling for systematic risk, the results suggest that the passage of the Free Capital Movement Directive did not create wealth effects for the shareholders of commercial chartered banks, investment firms and insurance companies. Conversely, the results demonstrate that the Second Banking, Investment Services and Capital Adequacy Directives produced no wealth effects for the investment firms and insurance companies, but not for commercial chartered banks' shareholders. The whole wealth effect on the Greek financial sector was neutral.

This article will be of value to academics, bankers, bank regulators, practitioners, and economic policy makers who are interested in the regulatory evolution of the EU banking industry.

Artificial intelligence (AI) has gained significant momentum in recent years. Among AI-infused systems, one prominent application is context-aware systems. Although the fusion of AI and context awareness has given birth to personalized and timely AI-powered context-aware systems, several challenges still remain. Given the “black box” nature of AI, the authors propose that human–AI collaboration is essential for AI-powered context-aware services to eliminate uncertainty and evolve. To this end, this study aims to advance a research agenda for facilitators and outcomes of human–AI collaboration in AI-powered context-aware services.

Synthesizing the extant literature on AI and context awareness, the authors advance a theoretical framework that not only differentiates among the three phases of AI-powered context-aware services (i.e. context acquisition, context interpretation and context application) but also outlines plausible research directions for each stage.

The authors delve into the role of human–AI collaboration and derive future research questions from two directions, namely, the effects of AI-powered context-aware services design on human–AI collaboration and the impact of human–AI collaboration.

This study contributes to the extant literature by identifying knowledge gaps in human–AI collaboration for AI-powered context-aware services and putting forth research directions accordingly. In turn, their proposed framework yields actionable guidance for AI-powered context-aware service designers and practitioners.