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The design and development of a computer‐based information system requires an understanding of the operating system of the computer. This knowledge helps in efficient file design for optimal utilisation of disk space which results in increased system efficiency. This paper describes an Indian multi‐tasking/multi‐programming operating system called WDOS, especially its data‐structure and how an online, multi‐user bibliographic information storage and retrieval system has been developed under it utilising the knowledge of its operating system. A set of functional specifications drawn in consultation with users has guided the system development work. The system has been validated and successfully implemented. It has been found to be efficient in terms of response time and this may be attributed to its file design.

The handicraft sector is unorganized with huge potential for the economic upliftment of the bottom of the pyramid (BOP) craft producers. To ensure the sustainable livelihood of the artisans living in BOP, it is essential to identify the hurdles being faced by them so that they can be worked upon. This paper aims to look at the existing handicraft value chain in an integrated way to identify these hurdles and suggest probable solutions to mitigate them.

A two-stage study involving quantitative and qualitative approaches is used. Empirical observations from 218 artisans were analyzed using the relative to an identified distribution to rank the different variables affecting the functioning of the handicraft value chain. Next, 17 handicraft entrepreneurs were interviewed to identify solutions for the hurdles.

A two-stage study examining the perspectives of artisans and handicraft entrepreneurs identified five significant challenges affecting the handicraft sector and viable solutions to address them. While presenting an operational model, a comprehensive picture of the handicraft business ecosystem was studied, from the procurement of raw materials to the marketing and sale of finished products. This can assist handicraft producers in sustaining their livelihoods and expanding the industry.

Studies on the handicraft value chain at BOP are rare, and none have tried to look at the sector holistically to find solutions and propose an operational framework. The study has captured the voices of the artisans and handicraft entrepreneurs and, through a mixed-method approach, identified the main pain points of the BOP artisans to arrive at a workable solution for better business outcomes.

The purpose of this paper is to analyze a thermal power plant (TPP) by taking into consideration its key components, namely, boiler, turbine, conveyor and generator, which are handled by a human operator. It is well known fact that the continuous power generation through a power plant depends on the reliability/availability of its components.

The various performance measures of a TPP are obtained by using mathematical modeling, Markov process and supplementary variable technique.

Reliability, i.e. mean time to failure with respect to different components of a TPP, has been obtained and demonstrated with the help of graphs. Critical components of the system are identified through sensitivity analysis.

In the present paper, a mathematical model based on the functioning of a TPP has been developed. Conclusions in this paper are good references for the design of a TPP.

Globalization has rendered international expanding activities increasingly important for the survival, growth and success of modern firms. Drawing on the resource‐based view (RBV) of the firm, the purpose of the present study is to investigate the antecedents and performance implications of branding advantage in export ventures.

A mail survey was used to collect data from exporting manufacturers. Further, a series of qualitative interviews with export managers was conducted. The unit of analysis is the export venture. Confirmatory factor analysis was employed to assess the measurement properties of the study constructs. Structural equation modelling using a full information estimation approach was performed to test the research model.

The results of the study indicate that both export venture financial and experiential resources promote export venture communication capabilities, and financial and experiential resources and communication capabilities are contributors to the achievement of export venture branding advantage, which in turn is related positively to export venture performance.

The study findings provide export managers with useful insights into how to successfully compete in export markets on the basis of branding advantage. Financial and experiential resources and communication capabilities should be deployed in order to achieve a branding advantage position and enhanced export performance outcomes. Replication of this research within other settings is needed to test the external validity of the present findings.

The main contribution of this study is that it highlights the role of branding advantage in the context of exporting firms.

This paper aims to present an improvement to the power quality of the grid by using a colliding body optimization (CBO) based proportional-integral (PI) compensated design for a grid-connected solar photovoltaic-fed brushless DC motor (BLDC)-driven water pumping system with a bidirectional power flow control. The system with bidirectional power flow allows driving the pump at full proportions uninterruptedly irrespective of the weather conditions and feeding a grid when water pumping is not required.

Here, power quality issue is taken care of by the optimal generation of the duty cycle of the voltage source converter. The duty cycle is optimally generated by optimal selection of the gains of the current controller (i.e. PI), with the CBO technique resulting in a nearly unity power factor as well as lower total harmonic distortion (THD) of input current. In the CBO technique, the gains of the PI controller are considered as agents and collide with each other to obtain the best value. The system is simulated using MATLAB/Simulink and validated in real time with OPAL RT simulator, OP5700.

It was found that the power quality of grid using the CBO technique has improved much better than the particle swarm optimization and Zeigler–Nichols approach. The bidirectional flow of control of VSC allowed for optimum resource utilization and full capacity of water pumping whatever may be weather conditions.

Improved power quality of grid by optimally generation of the duty cycle for the proposed system. A unit vector tamplate generation technique is used for bidirectional power transfer.

The purpose of this study is to examine what makes some firms, but not others, see a crisis as an opportunity to become entrepreneurial. Specifically, it examines how two key capabilities for durability—(unabsorbed) slack resources and external market networks—influence small and medium-sized enterprises (SMEs)’ “opportunity confidence”, a term recently coined to denote the subjective assessment of the extent to which a crisis is a good (bad) basis for entrepreneurial activities, such as the introduction of new products/services and new market entry.

Analysis of hand-collected survey data from 138 SMEs in Greece — a country hit hard by the 2008 economic crisis.

The findings reveal that an SME's number of network contacts has a positive effect on opportunity confidence, whereas firm slack resources lack a direct effect. It is, in fact, at low levels of firm slack resources that network returns are higher, especially for older firms. An extension to the main analysis also shows that opportunity confidence is linked to firm sales growth.

Understanding what makes some firms, but not others, see a crisis as an opportunity will help build an extensive and solid knowledge base and get ready for the next big (or small) crisis, which is inevitable to occur. Besides the grants and subsidies that policymakers often provide to SMEs in times of crisis, they may also need to consider organizing actions that support the extraversion and networking of SMEs—that can be done in a variety of ways due to the rise of teleworking and online collaboration platforms since the onset of the recent COVID-19 pandemic.

This paper draws linkages between the “external enabler perspective” and the burgeoning resilience literature and illustrates empirically what makes some SMEs, but not others, view an economic crisis as a good basis for entrepreneurial activities—that is a manifestation of early-stage entrepreneurial behavior and a necessary condition before taking entrepreneurial action in times of crisis. By so doing, this study extends research on resilience that has explained the role of “capabilities for durability” as a means of surviving through a crisis by revealing that these capabilities do not necessarily translate into capabilities for renewal that will help firms to bounce forward in response to the crisis. It also points to the “dark side” of capabilities for durability and, by implication, of resilience.

The present paper investigated a skim milk powder production plant with genuine human mistake for analyzing its performance in terms of its reliability, availability and maintainability (RAM) indices along with mean time between failure (MTBF) and expected number of failure (ENOF).

In the proposed work, the generalized fuzzy lambda–tau methodology has been used to carry out the analysis of the repairable structure using the improved arithmetic operations for generalized fuzzy numbers by considering the degree of confidence levels.

RAM indices along with MTBF and ENOF are obtained to increase the quality of skim milk powder manufacturing structures of a dairy plant with genuine human-mistake working conditions.

In the present paper, a mathematical model for a complex industrial system based on fuzzy has been developed. Finally, the results are more realistic and comprehensive for the decision-maker for farther application.

The purpose of this paper is to explore the nature of rural energy transition in cooking options in India. Although India is aiming to achieve a double-digit economic growth, a large share of rural households still rely on firewood for cooking which not only has serious repercussions of increasing indoor pollution but also has a concomitant adverse effect on women and child morbidity and mortality. However, transition to clean energy options like improved cookstoves for these households may not be necessarily linear. It is often driven or resisted by latent factors such as caste, trust, social capital, information flow, social positioning of clusters that are deeply embedded in the social and cultural norms and values specific to local rural contexts. This has been shown in the present case study that pertains to eight villages in the remote and deprived Purnea district of Bihar and the need for internalizing them in the macro energy policymaking has been established in the paper.

The paper applies a macro foundation research that is complemented by micro foundation tools of fuzzy cognitive mapping-based mental model framework to achieve the purpose of the study. Focused-group discussions and interviews are also conducted to establish the narrative of the paper.

Caste, socio-political position, asset structure, remoteness, culture and technology access affect rural households’ decision making capability that is related to shifting from using the traditionalmeans of firewood and biomass based traditional cookstoves for cooking to adopting improved clean cooking stoves which will enable the transition toward the use of clean rural energy in the eight villages in Bihar chosen for this study.

The findings of the paper have larger implications for the broader macro energy policymaking in the country by taking into account the non-linear, latent factors of village contexts.

The research will help energy policymakers in decision-making and will guide the implementation process of national- and state-level policies on rural energy transition in India.

The findings of the paper will help the smoother implementation of national- and state-level rural energy transition policies for cooking, creating developmental dividends for rural Indian households.

The research is new with regard to the application of non-deterministic fuzzy cognitive mapping-based mental model approach to contribute to the country’s national- and state-level rural energy transition policies.