Are Demographic Attributes and Firm Characteristics Drivers of Gender Diversity? Investigating Women’s Positions on French Boards of Directors

In this article, we examine the factors determining the representation of women on boards of directors by considering three main questions. The first question deals with the relationship between characteristics of ownership and governance on one side, and female directorship on the other. The second major question concerns the demographic attributes of women directors, such as nationality, foreign experience, educational level, business expertise, and connections to external sources. The third important question refers to women in senior positions on French boards (e.g., as independent members or board subcommittee members) in relation to firm characteristics and women’s demographic attributes. Our study focuses on French large- and mid-capitalized companies belonging to the SBF120 stock market index during a 5-year period running from 2000 to 2004. First, our results give evidence that the appointment of women directors is strongly related to family ownership and board or firm size. Second, the appointment of women directors is related to their professional services, valuable skills, and network links. Furthermore, we show that women face a double glass-ceiling problem, and note that French firms rely more on the demographic attributes of their women directors when they are appointed to senior board positions. Our study sheds light on issues concerning the law that comes into force in 2016, which imposes quotas of women members on boards of directors in French companies.     

PROMETHEE Group Decision Support System and the House of Quality

Quality function deployment (QFD) is a multi-step method that monitors customer needs throughout a product development process. The House of Quality (HOQ) exercise undertaken in the first phase of QFD is considered as the most important, since customer needs must be accurately translated into a set of technical requirements for the final product. This paper provides a PROMETHEE group decision support system (GDSS) approach that integrates the design preferences of the QFD team. We highlight the selection and ranking of the technical requirements in the HOQ exercise, where a group of multidisciplinary decision makers (DMs) in a globally dispersed QFD team is required to input their individual preferences. Our approach advances the HOQ group decision making context in three important areas. First, it treats each criterion and DM as unique in terms of the preference function and threshold levels. Second, it seeks a multi-criteria approach for the HOQ process, where some DMs may play a more important role than others on a certain criterion. Third, sensitivity analysis through the Geometrical Analysis for Interactive Assistance (GAIA) plane provides valuable information about the conflicts, similarities, or independencies between the criterion and the DMs, respectively. A case on an automotive part illustrates the performance of the PROMOTHEE approach with GAIA.     

Marketing planning: Operationalising the market orientation strategy

Abstract

Despite strong empirical validation of the relationship between market orientation and business performance, the literature is inconclusive on the implementation of the strategy. This paper reviews the implementation of market orientation, and investigates the associations between market orientation and marketing planning and their associations with business performance. A survey of 216 Australian larger business organisations was conducted to find evidence of these relationships. The results highlight a close association between market orientation and marketing planning, with virtually the same level of association between them, and the business performance measures used. This evidence suggests that they arguably represent the same domain. The results suggest that marketing practitioners may use the marketing planning technique as an intangible productive resource to operationalise the market orientation strategy, and use it to design a specific style and magnitude of market orientation suitable for an organisation.     

Dynamic local models for segmentation and prediction of financial time series

In the analysis and prediction of many real-world time series, the assumption of stationarity is not valid. Aspecial form of non-stationarity, where the underlying generator switches between (approximately) stationary regimes, seems particularly appropriate for financial markets. We introduce a new model which combines a dynamic switching (controlled by a hidden Markov model) and a non-linear dynamical system. We show how to train this hybrid model in a maximum likelihood approach and evaluate its performance on both synthetic and financial data.     

Strategy of firms in unstable institutional environments

Institutional instability as one of the most common characteristics of developing countries and its impacts on the strategy of firms is explored in this study. We conducted detailed field research based on 32 semi-structured interviews with top managers of textile firms in Iran. Results show that managers in developing countries engage in a political struggle to ensure that institutional uncertainty is balanced by a reasonable political give and take. It is argued that power and legitimacy are key resources for firms' survival in institutionally unstable environments. Some theoretical foundations for the strategy of firms in unstable institutional environments are developed.     

Fatality rate of pedestrians and fatal crash involvement rate of drivers in pedestrian crashes: a case study of Iran

The aim of this study was to uncover patterns of pedestrian crashes. In the first stage, 34,178 pedestrian-involved crashes occurred in Iran during a four-year period were grouped into homogeneous clusters using a clustering analysis. Next, some in-cluster and inter-cluster crash patterns were analysed. The clustering analysis yielded six pedestrian crash groups. Car/van/pickup crashes on rural roads as well as heavy vehicle crashes were found to be less frequent but more likely to be fatal compared to other crash clusters. In addition, after controlling for crash frequency in each cluster, it was found that the fatality rate of each pedestrian age group as well as the fatal crash involvement rate of each driver age group varies across the six clusters. Results of present study has some policy implications including, promoting pedestrian safety training sessions for heavy vehicle drivers, imposing limitations over elderly heavy vehicle drivers, reinforcing penalties toward under 19 drivers and motorcyclists. In addition, road safety campaigns in rural areas may be promoted to inform people about the higher fatality rate of pedestrians on rural roads. The crash patterns uncovered in this study might also be useful for prioritizing future pedestrian safety research areas.     

Gender-diverse boards and audit fees: What difference does gender quota legislation make?

We investigate the effect of board (audit committee) gender diversity on audit fees in the French context. We also examine whether the relationship between the proportion of female directors and audit fees is moderated by the enactment of the gender quota law in 2011. We use the system GMM estimation approach on a matched sample of French firms listed in the SBF 120 index between 2002 and 2017. Consistent with the supply-side perspective, we contend that female independent directors and female audit committee members, by improving board monitoring effectiveness, affect the auditor's assessment of audit risk, resulting in lower audit fees. Our findings also document that, by breaking the glass ceiling, the effectiveness of the gender quota law lies not in increasing the proportion of female insider directors, but in boosting the appointment of female independent directors and female audit committee members. Using the difference-in-difference approach, our results reveal that female independent directors and female audit committee members are more willing to assert their monitoring skills after the quota law, leading to lower audit fees. Moving beyond tokenism, we show that, after the quota law, the negative impact on non-audit fees is strengthened only for female independent directors.     

Influence of cultural divergence on consumers' perception towards reconstructed products: A qualitative enquiry

The purpose of this study is to understand whether consumers from different cultures have varied perception towards reconstructed products. Cultural divergence concept provides the theoretical support for the study. Data are collected from consumers of two culturally diverse societies (India and the United States). We use grounded theory for interview and data analysis. From the data, 23 open codes and 8 axial codes for Indian consumers and 28 open codes and 8 axial codes for the American consumers are generated. The key finding of our study suggests that culture plays a decisive role in shaping consumers' perception towards reconstructed products. The other findings of our study indicate that consumers of both societies are influenced by other factors that include product‐ or process‐related factors, brand‐ or store‐related factors, and individual factors. We discuss policy level, firm level, and nonprofit or charity level implications. Finally, limitation and scope for future research are outlined.     

Fast Kernel Smoothing of Point Patterns on a Large Network using Two‐dimensional Convolution

We propose a computationally efficient and statistically principled method for kernel smoothing of point pattern data on a linear network. The point locations, and the network itself, are convolved with a two‐dimensional kernel and then combined into an intensity function on the network. This can be computed rapidly using the fast Fourier transform, even on large networks and for large bandwidths, and is robust against errors in network geometry. The estimator is consistent, and its statistical efficiency is only slightly suboptimal. We discuss bias, variance, asymptotics, bandwidth selection, variance estimation, relative risk estimation and adaptive smoothing. The methods are used to analyse spatially varying frequency of traffic accidents in Western Australia and the relative risk of different types of traffic accidents in Medellín, Colombia.