Search results

The purpose of this paper is to provide a critical discussion of the scope and correct scale metrics used in the measurement of multinationality.

There are two ways of measuring the degree of multinationality (sometimes called the international diversification) of firms. The literature is reviewed using both types of metric, and then both are applied to tests of the regional nature of international business.

It is found that the correct method is to use a scale metric which captures the degree of multinationality, such as the ratio of foreign to total sales. This paper provides empirical evidence that the scope metric, which counts the number of countries in which a firm has a foreign subsidiary, is unsatisfactory.

The paper provides a new scale metric of the intra‐regional activities of large US firms.

To better understand the impact of choosing a carbon data provider for the estimated portfolio emissions across four asset classes. This is important, as prior literature has suggested that Environmental, Social and Governance scores across providers have low correlation.

The authors compare carbon data from four data providers for developed and emerging equity markets and investment grade and high-yield corporate bond markets.

Data on scope 1 and scope 2 is similar across the four data providers, but for scope 3 differences can be substantial. Carbon emissions data has become more consistent across providers over time.

The authors examine the impact of different carbon data providers at the asset class level. Portfolios that invest only in a subset of the asset class may be affected differently. Because “true” carbon emissions are not known, the authors cannot investigate which provider has the most accurate carbon data.

The impact of choosing a carbon data provider is limited for scope 1 and scope 2 data for equity markets. Differences are larger for corporate bonds and scope 3 emissions.

The authors compare carbon accounting metrics on scopes 1, 2 and 3 of corporate greenhouse gas emissions carbon data from multiple providers for developed and emerging equity and investment grade and high yield investment portfolios. Moreover, the authors show the impact of filling missing data points, which is especially relevant for corporate bond markets, where data coverage tends to be lower.

The purpose of this paper is to characterize the relationships between air pollutant emissions from heavy duty diesel equipment and highway construction project scope, schedule, and budget. Objectives included estimating total project emissions; developing a daily emissions profile; and developing new emissions estimating metrics based on project scope, schedule, and budget.

The research approach involved collecting real-world data related to project scope, schedule, and budget from two highway case study projects. The data were used to establish an emissions inventory estimating methodology to calculate total emissions for each case study. The total emissions were normalized based on project size, duration, and cost in order to develop new emissions estimating metrics.

The results proved that it is possible to characterize total equipment emissions based on project size, duration, and cost. The new emissions estimating metrics were quantitatively similar for both case studies.

The results were based on two case study projects. Additional data from more projects is needed to provide more highly refined numerical results.

This approach enables project planners and managers to assess the environmental impacts of highway projects along with the financial and time impacts.

Construction equipment is a major contributor to the nation’s air pollution problem. Before pollutant emissions can be managed they must first be measured.

The new emissions estimating metrics are a novel approach to comparing environmental impacts of two or more projects, as well as estimating total emissions for future highway construction projects.

This paper aims to explore the ambiguity and limitations of measuring firm-level multinationality (FLM) using theoretical and empirical comparisons of existing methods. The paper puts forward a list of five key aspects that collectively serve as a tool for researchers to select the most appropriate method for future research and as a basis for the future development of methods.

Firstly, the author reviews existing methods of measuring FLM and consolidates findings into five key aspects. Secondly, the author uses the aspects to compare existing methods theoretically, and subsequently, the author groups them into three distinct streams. Thirdly, the author compares existing methods across a sample of the 35 largest European MNEs by sales in 2020 to identify and demonstrate the ambiguity and limitations of these methods.

The author identifies the five key aspects of measuring FLM: framework, aggregation, segmentation, metrics and indicators. Using empirical comparison, the author empirically confirms the limitations highlighted in the literature and shows the differences and inconsistencies among methods, which cause confusion rather than clarity in the extant literature. Additionally, the author emphasises that three distinct streams further drive the debate on the regional/global nature and present further limitations of methods not mentioned in the literature to date.

This paper provides the most comprehensive review of the existing literature on FLM, resulting in five novel aspects of measuring FLM. The analysis of a sample of 35 European firms demonstrates and identifies the ambiguity and limitations of FLM-measuring methods.

The aim of this study is o examine the advantages and disadvantages of different existing scoring systems in the cybersecurity domain and their applicability to the AEC industry and to systematically apply a scoring system to determine scores for some of the most significant construction participants.

This study proposes a methodology that uses the Common Vulnerability Scoring System (CVSS) to calculate scores and the likelihood of occurrence based on communication frequencies to ultimately determine risk categories for different paths in a construction network. As a proof of concept, the proposed methodology is implemented in a construction network from a real project found in the literature.

Results show that the proposed methodology could provide valuable information to assist project participants to assess the overall cybersecurity vulnerability of construction and assist during the vulnerability-management processes. For example, a project owner can use this information to get a better understanding of what to do to limit its vulnerability, which will lead to the overall improvement of the security of the construction network.

It has to be noted that the scoring systems, the scores and categories adopted in the study need not necessarily be an exact representation of all the construction participants or networks. Therefore, caution should be exercised to avoid generalizing the results of this study.

The proposed methodology can provide valuable information and assist project participants to assess the overall cyber-vulnerability of construction projects and support the vulnerability-management processes. For example, a project owner can use this approach to get a better understanding of what to do to limit its cyber-vulnerability exposure, which will ultimately lead to the overall improvement of the construction network's security. This study will also help raise more awareness about the cybersecurity implications of the digitalization and automation of the AEC industry among practitioners and construction researchers.

Given the amount of digitized services and tools used in the AEC industry, cybersecurity is increasingly becoming critical for society in general. In some cases, (e.g. critical infrastructure) incidents could have significant economic and societal or public safety implications. Therefore, proper consideration and action from the AEC research community and industry are needed.

To the authors' knowledge, this is the first attempt to measure and assess the cybersecurity of individual participants and the construction network as a whole by using the Common Vulnerability Scoring System.

Climate change and carbon emissions are top of mind in all facets of society. This study aims to investigate what the world’s top brands are saying about carbon emissions and greenhouse gases (GHG). Through this inquiry, the authors hope to better understand what brands are saying, doing and if their actions are clear. Furthermore, the authors seek to uncover practices that may deter or enhance a brand’s effectiveness in communicating its current and future initiatives.

Each of the world’s top 50 brands’ (Forbes, 2020 Rankings) websites were assessed using a content analysis methodology. Key constructs and themes were identified first through a broad assessment, leading to a set of parameters (content items) that were used to assess each brand’s website. The results were then summarized.

Almost all of the world’s Top 50 brands attempt to articulate their current accomplishments and goals relative to carbon emissions and GHG. Generally, carbon falls under a broader discussion of their sustainability initiatives and objectives. While extensive, information on carbon emissions possesses a variety of terms for measures and initiatives, goal setting and actions. Stakeholders may find the information to be ambiguous and of limited use.

There are few, if any, assessments of how major brands communicate their current and future carbon emissions initiatives. The study uncovers tendencies and provides managers with practices that may enhance the effectiveness of their brand’s carbon emissions communications.

This paper aims to contribute to the regionalisation–globalisation debate in international business (IB) by providing a longitudinal analysis of firm-level multinationality. The analysis uses a unique hand-collected data set of both accounting (sales) and non-accounting (subsidiaries) data. The percentage of foreign sales is also used as an additional measure of multinationality.

This paper categorises constituent firms of the Financial Times Stock Exchange 350 index over an 18-year time period from 1998 to 2015. Firms are categorised using the multinationality classification system developed by Aggarwal et al. (2011). The paper also conducts an industrial analysis across ten industries.

The evidence shows increasing multinationality over time that suggests a “trans-regional” operational strategy rather than a global or regional one. The results also show that UK firms are more multinational based on subsidiaries than sales. This contradicts the traditional stages theory of internationalisation where firms first expand sales, then subsidiaries. While some support for triad regions is found, there is also evidence of firm-level operations expanding beyond the triad regions of North America, Asia and Europe to non-triad regions such as Africa, Oceania and South America. The industrial analysis shows that non-service firms are more multinational than service firms.

To the best of the authors’ knowledge, this is the first paper to provide an in-depth longitudinal analysis of the geographical dispersion using both sales and subsidiaries data for UK firms. This paper provides a unique perspective on the regionalisation–globalisation debate in IB and presents evidence contrary to traditional stages theories of firm-level internationalisation.

It is difficult for corporate sustainability reporting (CSR) to provide accountability to stakeholders. This paper assesses whether accountability-based CSR systems can be created through the application of Spotlight Accounting and WikiRate as a hybrid forum.

The current paper explores the utility of Spotlight Accounting for CSR through assessing its application to a hybrid forum, WikiRate. This process involved engaging student researchers to collect CSR data from the United Nations Global Compact's (UNGC) corporate action group (CAG) and recording this information into the WikiRate platform. Aggregate analysis was conducted to assess the limitations and challenges of the data to inform decision-making.

Spotlight Accounting exposes challenges within traditional applications of CSR. These challenges impact comparability, decision usefulness and accountability of CSR data for stakeholders.

This paper provides recommendations to enhance the accessibility and relevance of company information to assist in the provision of Spotlight Accounting. In doing so, it highlights the usefulness of CSR to leverage greater accountability between corporations and society.

This paper applies the emerging practices of Spotlight Accounting and presents it as an alternative way to research and conceptualise external accounts, reporting and accountability. This form of accounting has the potential to enhance communications and partnerships between companies and society as well as challenge dominate power dynamics held by corporations.

The purpose of this paper is to expand on the development of university and college sustainability metrics by implementing an adaptable metric target strategy.

A combined qualitative and quantitative methodology is derived that both defines what a sustainable metric target might be and describes the path a university might take to get there. Local to global spatial scales and short to long‐term time scales are accounted for. Four popular metrics are developed: carbon emissions, water use, recycling rate, and energy use. Sustainability metric data available from Yale University are utilized to show the applicability of this metric target strategy.

Targets for sustainability metrics may be set at short, medium, and long‐term time scales. While quantitative targets may be set for sustainability metrics, these are often long‐term ideals that offer no information on the path to achieve them. If a path to achieving these targets is outlined, it is often arbitrary quantitatively, if not also qualitatively. This paper finds that sustainability metric targets can be founded upon clearly delineated, rigorously quantified targets. At the same time, the process framework for developing sustainability metric targets is adaptable to the unique situation of a particular university. This adaptable metric target strategy reflects the ideals of sustainability to be at one time both local and global in scope. The metric target strategy is globally applicably, but the sustainability metric targets produced will be unique to each institution.

The process framework for developing sustainable metric targets is only outlined for four popular metrics. Achieving these four targets alone will certainly not define a university as sustainable. Further development of other sustainability metrics utilizing the framework presented would be helpful.

The application to real metric data shows the feasibility of this approach for use at other universities and colleges. They can define their own sustainability targets using the approach outlined.

This paper highlights how sustainability metrics being collected by universities may be used to define a target path towards sustainability. The process framework presented has the potential to provide unique solutions for each institution while remaining a universal methodological approach.