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This paper aims to study the informational dynamics that take place between a firm and its stakeholders with respect to corporate environmental management.

The analysis is based on a case study contrasting environmental information reported by the case firm with environmental information about the firm disclosed by four stakeholder groups or their representatives (governments, the community, environmental non-governmental organizations and investors) over three years. The information flow of disclosure is also considered.

The results suggest that the informational dynamics are composed of multiple related patterns. The patterns range from correspondence between disclosures to stakeholders complementing or contradicting corporate disclosures. Different patterns are associated with different levels of interactions from stakeholders, who are most involved when they combine disclosure patterns around key environmental issues for the forest industry. Limited interactions are observed from the firm, suggesting a symbolic engagement within the dynamics and a strategic accountability approach.

Limitations are found in the focus on disclosure outlets without examination of their production and reception, and in the inherent nature of the documents collected to represent each perspective. Some stakeholder groups were excluded from the study due to data unavailability.

This paper offers an in-depth analysis of firm-stakeholders interactions with respect to environmental reporting and maps the information flow of their disclosure.

This paper aims to explore the limitations of the conformal finite difference time-domain method (C-FDTD or Dey–Mittra) when modeling perfect electric conducting (PEC) and lossless dielectric curved surfaces in coarse meshes. The C-FDTD is a widely known approach to reduce error of curved surfaces in the FDTD method. However, its performance limitations are not broadly described in the literature, which are explored as a novelty in this paper.

This paper explores the C-FDTD method applied on field scattering simulations of two curved surfaces, a dielectric and a PEC sphere, through the frequency range from 0.8 to 10 GHz. For each sphere, the mesh was progressively impoverished to evaluate the accuracy drop and performance limitations of the C-FDTD with the mesh impoverishment, along with the wideband frequency range described.

This paper shows and quantifies the C-FDTD method’s accuracy drops as the mesh is impoverished, reducing C-FDTD’s performance. It is also shown how the performance drops differently according to the frequency of interest.

With this study, coarse meshes, with smaller execution time and reduced memory usage, can be further explored reliably accounting the desired accuracy, enabling a better trade-off between accuracy and computational effort.

This paper quantifies the limitations of the C-FDTD in coarse meshes in a wideband manner, which brings a broader and newer insight upon C-FDTD’s limitations in coarse meshes or relatively small objects in electromagnetic simulation.

As a critical and intimate form of inquiry, ethnography remains close to lived realities and equips scholars with a unique methodological angle on social phenomena. This paper aims to explore the potential gains from an increased use of ethnography in social enterprise studies.

The authors develop the argument through a set of dualistic themes, namely, the socio-economic dichotomy and the discourse/practice divide as predominant critical lenses through which social enterprise is currently examined, and suggest shifts from visible leaders to invisible collectives and from case study-based monologues to dialogic ethnography.

Ethnography sheds new light on at least four neglected aspects. Studying social enterprises ethnographically complicates simple reductions to socio-economic tensions, by enriching the set of differences through which practitioners make sense of their work-world. Ethnography provides a tool for unravelling how practitioners engage with discourse(s) of power, thus marking the concrete results of intervention (to some degree at least) as unplannable, and yet effective. Ethnographic examples signal the merits of moving beyond leaders towards more collective representations and in-depth accounts of (self-)development. Reflexive ethnographies demonstrate the heuristic value of accepting the self as an inevitable part of research and exemplify insights won through a thoroughly bodily and emotional commitment to sharing the life world of others.

The present volume collects original ethnographic research of social enterprises. The editorial develops the first consistent account of the merits of studying social enterprises ethnographically.

Universal human values, hereafter referred to as UHVs, have become a new Phenomenon. In Higher Education of India under the provision of National Education Policy 2020. Higher education has a set of new approaches in pedagogical techniques and the content delivery stem. All India Council of Technical Education (AICTE) is now working in tandem with the University Grant Commission (UGC) to reach the college and university teachers so that the content can easily percolate to the students of higher education in India. Pedagogical dynamics are visible in the planning, procedure, and method of content design and the content delivery design as well as the follow-up process design. The present article is a critical analysis of all the related aspects using value-based pioneering research in conflict management and for sustaining economic development in modern times. The learned readers are requested to use the Endnotes for connotative and denotative meanings of a few technical terms (Gaur et al., 2009) used hackneyed words in phrasal meanings based on the parlance of UHV contents for a better understanding of this chapter.

To be sustainable and competitive in the current business environment, it is useful to understand users’ sentiment towards products and services. This critical task can be achieved via natural language processing and machine learning classifiers. This paper aims to propose a novel probabilistic committee selection classifier (PCC) to analyse and classify the sentiment polarities of movie reviews.

An Indian movie review corpus is assembled for this study. Another publicly available movie review polarity corpus is also involved with regard to validating the results. The greedy stepwise search method is used to extract the features/words of the reviews. The performance of the proposed classifier is measured using different metrics, such as F-measure, false positive rate, receiver operating characteristic (ROC) curve and training time. Further, the proposed classifier is compared with other popular machine-learning classifiers, such as Bayesian, Naïve Bayes, Decision Tree (J48), Support Vector Machine and Random Forest.

The results of this study show that the proposed classifier is good at predicting the positive or negative polarity of movie reviews. Its performance accuracy and the value of the ROC curve of the PCC is found to be the most suitable of all other classifiers tested in this study. This classifier is also found to be efficient at identifying positive sentiments of reviews, where it gives low false positive rates for both the Indian Movie Review and Review Polarity corpora used in this study. The training time of the proposed classifier is found to be slightly higher than that of Bayesian, Naïve Bayes and J48.

Only movie review sentiments written in English are considered. In addition, the proposed committee selection classifier is prepared only using the committee of probabilistic classifiers; however, other classifier committees can also be built, tested and compared with the present experiment scenario.

In this paper, a novel probabilistic approach is proposed and used for classifying movie reviews, and is found to be highly effective in comparison with other state-of-the-art classifiers. This classifier may be tested for different applications and may provide new insights for developers and researchers.

The proposed PCC may be used to classify different product reviews, and hence may be beneficial to organizations to justify users’ reviews about specific products or services. By using authentic positive and negative sentiments of users, the credibility of the specific product, service or event may be enhanced. PCC may also be applied to other applications, such as spam detection, blog mining, news mining and various other data-mining applications.

The constructed PCC is novel and was tested on Indian movie review data.

While place significantly influences entrepreneurial processes, it has received limited theoretical attention in entrepreneurship literature, particularly regarding its connections to enterprises and sustainability. This study addresses this gap through a longitudinal qualitative case study conducted in Birmingham, UK, examining how the multidimensional roles of place attachment shape the sustainable entrepreneurial journey of ethnic minority entrepreneurs through the lens of place attachment theory.

Utilising Scannell and Gifford’s (2010) three-dimensional person–process–place framework, this study undertook a rigorous four-year longitudinal qualitative study from 2020 to 2023 by conducting six interviews with an ethnic minority entrepreneur and observing entrepreneurial activities. The data were analysed using thematic analysis to interpret the themes and insights systematically.

The findings revealed that the interplay of individual place attachment, psychological processes and physical place characteristics drives sustainable entrepreneurial actions within ethnic minority contexts. The personal experiences of environmental deprivation and cultural constraints can paradoxically enhance environmental consciousness and catalyse sustainable innovation, while ethnic minority cultural values naturally align with and strengthen sustainable business practices. By leveraging both social and physical aspects of place, the entrepreneur has created a business model that is deeply rooted in and responsive to the local context, demonstrating the potential of place attachment to foster innovative and sustainable forms of ethnic minority entrepreneurship.

To enhance sustainable venture creation among ethnic minority entrepreneurs, this study recommends tailoring business support by considering both cognitive and behavioural factors. This tailored support can empower ethnic minority entrepreneurs, foster long-term business sustainability and inform a comprehensive policy framework.

This longitudinal qualitative study offers a nuanced understanding of the role of place attachment in sustainable entrepreneurship, particularly among ethnic minority entrepreneurs. It introduces a holistic approach by exploring both the cognitive and behavioural aspects of place attachment, enriching the current understanding of its influence on the entrepreneurial journey.

The purpose of this paper is to investigate the first three stochastic natural frequencies of skewed sandwich plates, considering uncertain system parameters. To conduct the sensitivity analysis for checking the criticality of input parameters.

The theoretical formulation is developed based on higher-order-zigzag theory in accordance with the radial basis function (RBF) and stochastic finite element (FE) model. A cubic function is considered for in-plane displacement over thickness while a quadratic function is considered for transverse displacement within the core and remains constant in the facesheet. RBF is used as a surrogate model to achieve computational efficiency and accuracy. In the present study, the individual and combined effect of ply-orientation angle, skew angle, number of lamina, core thickness and material properties are considered for natural frequency analysis of sandwich plates.

Results presented in this paper illustrates that the skewness in the sandwich plate significantly affects the global dynamic behaviour of the structure. RBF surrogate model coupled with stochastic FE approach significantly reduced the computational time (more than 1/18 times) compared to direct Monte Carlo simulation approach.

The stochastic results for dynamic stability of sandwich plates show that the inevitable source uncertainties present in the input parameters result in significant variation from the deterministic value demonstrates the need for inclusive design paradigm considering stochastic effects. The present paper comprehensively establishes a generalized new RBF-based FE approach for efficient stochastic analysis, which can be applicable to other complex structures too.