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The purpose of this paper is to seek to develop psychometrically validated scale for logistical business continuity planning (LBCP) construct.

Using survey data from 106 firms in transportation and warehousing industry the psychometric properties of the proposed LBCP scale have been evaluated. The structure of the LBCP construct is also assessed. Three competing construct structures – Model A: hypothesized multidimensional second‐order factor model; Model B: first‐order multidimensional factor model; and Model C: first‐order unidimensional factor model – are proposed and then evaluated using structural equation modeling analyses.

The results indicate that the proposed scale has adequate psychometric properties. Furthermore, the results show that the hypothesized second‐order multidimensional model is the best‐fit and most parsimonious model.

The paper contributes to the knowledge on supply chain risk management by providing empirically validated measures for the LBCP construct. This scale provides a clear conceptualization of LBCP and should allow the authors to explore the nomological net around LBCP which is central to the survival of many organizations.

This paper is based on the personal connections of the four authors to Shivaji Park, the largest public space in Mumbai. Three of the authors are childhood friends and were once long-term residents of that area. The focus of this article is Shivaji Park, anecdotally the largest park in the island city of Mumbai, with its historical connotations and its ongoing role as a relational and cultural artefact in the lives of these authors. The ongoing member status of all four authors in connection with the public space is explored despite all of them now ceasing to be locals.

This article uses a qualitative approach utilising informal conversations between the four authors recorded on zoom as the research method. Supported by belonging and emotional reflexivity as conceptual frames, it investigates how the spatial context fosters a binding relationality, which is ongoing despite the now disparate locations of the authors.

Based on a critical analysis of the recorded conversations between the authors the findings highlight that belonging/unbelonging centres around emotionally tinged representations of place.

The core of this paper rests in the emotional connections between the authors based on their collective memories with a public space and its surrounding areas as a focus. The use of informal conversations is crucial in teasing out nuanced aspects of data collected based on human relationalities. The paper emphasises the repercussions of ongoing changes stemming from urban progress. They incur emotional and human costs through a “culling” of connections and belongings.

The COVID-19 pandemic has greatly impacted work, leading to the adoption of remote work practices and changes in power dynamics and trust. Although managing remote work has received much attention, the impact of the quality of work life on the effectiveness of hybrid workplaces has been less studied. This study aims to examine the relationship between quality of work life and psychological capital among organizational leaders using an artificial neural network (ANN) model.

This study used a cross-sectional quantitative methodology. A structured questionnaire was used to collect 268 responses from organizational leaders using the convenience sampling method. The data collected were analyzed using the ANN model in the Python interface.

The ANN model training and testing revealed that there is a positive relationship between the quality of work life and psychological capital among organizational leaders. The R-squared values for hope, efficacy, resilience and optimism were 85.19%, 82.08%, 78.55% and 81.08%, respectively, in the training set, and 81.30%, 78.95%, 76.52% and 71.41% in the testing set.

To the best of the authors’ knowledge, no previous research in the context of studying the relationship between quality of work life and psychological capital among organizational leaders using the machine learning approach – ANN model.

Financial inclusion remains one of the most promising avenues to bring about development for the poorest segments of society. A substantial body of work has looked into financial inclusion, especially in terms of microfinance, but much of it has been anecdotal and case-based. There is little scholarship that broadly investigates how microfinance-funded businesses choose to use the loans, especially given the ever-present competition for resources that such businesses face regarding which investment priority to pursue. In addition, the efficacy of these investments in terms of subsequent profitability remains unexplored, and so too does the influence of the entrepreneur’s embeddedness in the local community. The paper aims to discuss these issues.

This study reports the results from a field investigation of 927 women entrepreneurs who received a microfinance loan from a leading Indian microfinance institution. Logit and OLS regression models are employed in a moderation analysis by way of hierarchical regression.

Results indicate that access to microfinance increases the likelihood that the enterprise invests in marketing infrastructure and operational scale. In addition, structural embeddedness has a weakening effect on this relationship for operational scale while having a strengthening effect on the relationship for marketing infrastructure. Finally, operational scale is related to enterprise profitability, while marketing infrastructure is not. These findings suggest that embeddedness in the community is associated with the entrepreneur making sub-optimal choices regarding microfinance utilization.

To our knowledge, this is the first study to investigate the simultaneous marketing and operational impacts of microfinance access. It is also the first study to relate these measures to the profitability of the enterprise, especially in the context of structural embeddedness in the network.

Ceramic materials and glasses have become important in modern industry as well as in the consumer environment. Heat resistant ceramics are used in the metal forming processes or as welding and brazing fixtures, etc. Ceramic materials are frequently used in industries where a wear and chemical resistance are required criteria (seals, liners, grinding wheels, machining tools, etc.). Electrical, magnetic and optical properties of ceramic materials are important in electrical and electronic industries where these materials are used as sensors and actuators, integrated circuits, piezoelectric transducers, ultrasonic devices, microwave devices, magnetic tapes, and in other applications. A significant amount of literature is available on the finite element modelling (FEM) of ceramics and glass. This paper gives a listing of these published papers and is a continuation of the author's bibliography entitled “Finite element modelling of ceramics and glass” and published in Engineering Computations, Vol. 16, 1999, pp. 510‐71 for the period 1977‐1998.

The form of the paper is a bibliography. Listed references have been retrieved from the author's database, MAKEBASE. Also Compendex has been checked. The period is 1998‐2004.

Provides a listing of 1,432 references. The following topics are included: ceramics – material and mechanical properties in general, ceramic coatings and joining problems, ceramic composites, piezoceramics, ceramic tools and machining, material processing simulations, fracture mechanics and damage, applications of ceramic/composites in engineering; glass – material and mechanical properties in general, glass fiber composites, material processing simulations, fracture mechanics and damage, and applications of glasses in engineering.

This paper makes it easy for professionals working with the numerical methods with applications to ceramics and glasses to be up‐to‐date in an effective way.