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The importance of gender equality is reflected not only in the Millennium Development Goals (MDGs), but also in the World Bank’s Gender Action Plan launched in 2007 as well as in other treaties and actions undertaken at regional and international levels. Unlike other gender poverty works, which are mostly based on monetary measurement, the purpose of this paper is to adopt a non-monetary approach.

The present study makes use of a counting approach to examine gender issues in Burkina Faso and Togo using household surveys, namely Enquête Intégrale surles Conditions de Vie des Ménages (2009/2010) and Core Welfare Indicators Questionnaire (2011), respectively. It focusses on six dimensions (housing, basic utilities, assets, education, employment and access to credit) largely recognized as MDG targets.

Main findings indicate that overall individuals are the most deprived in education in Burkina Faso, while the reverse situation is true in Togo. Gender inequality is observed in all dimensions since women always seem to be more deprived than men. The situation is also marked by regional disparities. Moreover, the assessment of dimensional contributions shows different patterns for each country. While employment proves to be the main contributor of gender inequality in Burkina Faso, three dimensions (assets, access to credit and employment) account together for most of the total contribution to gender inequality in Togo.

The main contribution of the paper is to use a multidimensional method (counting approach) to assess gender deprivation, with countries comparison. It also proposes an interesting combination of the decomposition by dimension with the subgroup’s decomposition in order to determine the largest contributor to gender inequality.

Virtually all analyses of hotspots have been devoted to a crude counting system, i.e. tallying the number of occurrences that take place in pre-specified units of space and time. Recent research shows that while usually half of all criminal events are concentrated in about 3 percent of places commonly referred to as “hotspots” of crime, similar proportions of harm concentrate in only 1 percent of places. These are “harmspots.” Identifying that harm is a more concentrated issue suggests wide policy and research implications, but what are the dynamics of these harmspots? The paper aims to discuss this issue.

This paper provides a descriptive framework for measuring, as well as evidence about, these patterns and concentrations, harmspots in Sussex, England.

There are four discrete offense categories that account for 80 percent of all the harm within harmspots. These categories include: sexual offenses, violence against the person, robbery and theft. Within these high harmspots, crime counts and harm are strongly correlated (r=0.82, p=0.001). Temporal analyses show that harmspots are not evenly spread across time and place, with night time and weekends becoming substantially more susceptible to harm – more than count-based models. Harmspot trajectory analysis suggests evidence of stability over time within the high harmspots; most harmspots remain chronically inflicted with harm. Violence and sexual offenses are random in their spatial distribution between the harmspots, but robberies and theft are more closely coupled to particular harmspots than others.

Implications of these findings are discussed in terms of future research avenues and crime policy.

The purpose of this paper is to develop a multidimensional innovation index (MII) framework for measuring and benchmarking multidimensional innovation of small and medium enterprises (SMEs) and groups of SMEs.

A counting dual cut-off method is employed. First, output and input innovation profiles and composite scores of individual SMEs are computed. Second, a set of four composite innovation indices are generated characterizing the group of SMEs under analysis: MIIo and MIIi measure multidimensional output and input innovation, respectively; while MIIr and MIIa assess the ratio and average of MIIo and MIIi, respectively. To test the MII framework, a survey was conducted among SMEs of the metalworking industry in Portugal.

In 2012, about 28.9 percent (42.2 percent) SMEs of the Portuguese metalworking industry were determined to be multidimensional output (input) innovative. The average percentage of dimensions for which output (input) innovative SMEs were innovative was 65.0 percent (66.0 percent). Thus, the industry MII vector was (MIIo; MIIi; MIIr; MIIa)=(0.188, 0.279, 0.674; 0.233). Significant differences were found across the industry, individual SMEs’ multidimensional output and input innovation scores, enabling the identification of groups of SMEs, which can be characterized and compared by computing the corresponding and specific MII vectors.

The research has limitations because of the small size of the sample and the benchmarking possibilities it provides.

The novelty of the MII framework lies in the counting dual cut-off method employed.

The use of the Web by academic researchers is discipline‐dependent and highly variable. It is increasingly central for sharing information, disseminating results and publicising research projects. This pilot study seeks to identify the subjects that have the most impact on the Web, and look for national differences in online subject visibility. The highest impact sites were from computing, but there were major national differences in the impact of engineering and technology sites. Another difference was that Taiwan had more high impact non‐academic sites hosted by universities. As a pilot study, the classification process itself was also investigated and the problems of applying subject classification to academic Web sites discussed. The study draws out a number of issues in this regard, having no simple solutions and point to the need to interpret the results with caution.

This paper presents a co-authorship study of authors who published in Digital Humanities journals and examines the apparent influence of gender, or more specifically, the quantitatively detectable influence of gender in the networks they form.

This study applied co-authorship network analysis. Data has been collected from three canonical Digital Humanities journals over 52 years (1966–2017) and analysed.

The results are presented as visualised networks and suggest that female scholars in Digital Humanities play more central roles and act as the main bridges of collaborative networks even though overall female authors are fewer in number than male authors in the network.

This is the first co-authorship network study in Digital Humanities to examine the role that gender appears to play in these co-authorship networks using statistical analysis and visualisation.

As an alternative poverty analysis approach, the purpose of this paper is to map the patterns of multiple deprivation in all 13 administrative regions of Namibia using the National Household Income and Expenditure Survey data.

Unsupervised statistical learning methods including the principal component analysis, k-means clustering and bivariate analysis were applied.

The results show that the multiple deprivation approach is a useful alternative in characterising poverty dynamics in the country. Specifically, the mapping shows that other dimensions of poverty such as access to utilities and services among other things are equally useful welfare indicators as they scored higher than income and consumption on discriminant ability.

Unpacking the multi-dimensionality aspect of poverty has drawn significant attention from development economists and continues to play a major role in policy formulation for developing countries. The study recommends buttressing of conventional income poverty measures with multiple deprivation approaches for a comprehensive picture on poverty issues.

Applications of social network analysis (SNA) are evidently popular amongst scholars for mapping stakeholder and other relational networks in improving the sustainability of construction activities and the resulting built environment. Nevertheless, the literature reveals a lack of thorough understanding of optimal SNA applications in this field. Therefore, this paper aims to convey a comprehensive critical review of past applications of SNA in this field.

95 relevant journal papers were initially identified from the “Web of Science” database and a bibliometric analysis was carried out using the “VOS Viewer” software. The subsequent in-depth review of the SNA methods, focussed on 24 specifically relevant papers selected from these aforesaid 95 papers.

A significant growth of publications in this field was identified after 2014, especially related to topics on stakeholder management. “Journal of Cleaner Production”, “International Journal of Project Management” and “Sustainability” were identified as the most productive sources in this field, with the majority of publications from China. Interviews and questionnaires were the popular data collection methods while SNA “Centrality” measures were utilised in over 70% of the studies. Furthermore, potential areas were noted, to improve the mapping and thereby provide useful information to managers who could influence relevant networks and consequentially better sustainability outcomes, including those enhanced by collaborative networks.

Closer collaboration has been found to help enhance sustainability in construction and built environment, hence attracting research interest amongst scholars on how best to enable this. SNA is established as a significant methodological approach to analysing interrelationships and collaborative potential in general. In a pioneering application here, this paper initiates the drawing together of findings from relevant literature to provide useful insights for future researchers to comprehensively identify, compare and contrast the applications of SNA techniques in construction and built environment management from a sustainability viewpoint.

The purpose of this paper is to propose a distributed protocol to build a logical coordinate system based on the hop counts of each node to four selected landmarks, and the real location information is not needed.

The designed protocol uses the sink node as one of the landmarks and then selects three other sensor nodes near the corners of the sensor network as landmarks.

The simulation results show that the proposed protocol has the superior performance in packet delivery ratio, average hop counts among nodes, and communication overhead to previous works.

This paper presents a distributed protocol to build a logical coordinate system based on hop counts to landmarks.

This paper aims to investigate whether corporate social responsibility (CSR), as evidenced in annual financial reports, is associated with a firm’s financial performance in New Zealand.

A word count approach of several key CSR indicators found in the audited financial reports of NZX50 constituent firms is used. Several variables are constructed that measure the presence of CSR within the annual report such as sustainability, responsibility, social, environment, diversity, employee and community, and eight other variables within the annual report that measure the penetration of stakeholder engagement. Control variables and alternative measures of CSR are also included. Descriptive statistics and results of both univariate and multivariate tests are provided.

The findings establish a positive connection between CSR and financial performance. It is shown that firms that are unable to focus their attention on key stakeholders, but instead waste managerial capital on vague social policies and activities, are associated with weaker performance. Firms that consider the protected indigenous peoples as key stakeholders are associated with superior performance, especially when the firm is seeking regulatory approval.

Evidence is provided that CSR and Maori stakeholder engagement is implied by financial reports that have a significant association with corporate financial performance.

The results provide one of the first analyses linking the interplay between CSR, Maori and corporate financial performance using information publicly observable in annual financial reports. Evidence of an association between firms that indicate awareness of their community and higher levels of return on assets (ROA) is provided.

Materials requirements planning systems are susceptible to record errors that reduce their effectiveness. Cycle counting programmes are a common remedy for record accuracy problems. Studies of cycle counting have generally focused on justifying its use or on implementing these programmes. Uses statistical quality control analysis to develop a theoretical base for record accuracy improvement in cycle counting programmes. The methods described show how to design and implement an effective cycle counting programme. Describes and illustrates the development and use of process control charts for cycle counting applications. These charts may be used to monitor and control record‐keeping activities so that deteriorations in performance may be detected and rectified before they become serious. The techniques provide objective measures of record accuracy and performance; an efficient design/ implementation of cycle counting pro‐grammes; and clear linkages between cycle counting efforts and resulting levels of record accuracy.