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The purpose of study is linked to management and policy‐making strategies, such as forest management, land use planning and sustainable management of natural resources. It aims to help prevent forest fire by taking precautions. It also aims to be helpful for authorities coping during the event of occurrence of fire.

The methodology paradigm applied here is based on knowledge‐based and analytic hierarchy process (AHP) techniques. Knowledge‐based criteria involve topographic and different themes for risk assessment. The assignment of value given to equation is significant due to its importance.

Results are in strong agreement with actual fire occurrences in the past years. The risk zones are identified according to past occurrence of fire. The gradients of low‐ to high‐risk zones are according to fuel, topographic features and weather conditions. Direction and aspect value were taken accordingly.

The paper presents forest fire risk zones designed on knowledge‐based information. Crisp and fuzzy AHP approaches were applied to improve the efficacy of the model. The mapping results were in accordance with actual fire occurrences in the past years.

Human capital is the main asset of many companies, whose knowledge has to be preserved and leveraged from individual to the company level, allowing continual learning and improvement. Knowledge management has various components and aspects such as socio‐cultural, organizational, and technological. In this paper we address the technological aspect; more precisely we survey available software systems that support different knowledge management activities. We categorize these tools into classes, based on their capabilities and functionality and show what tasks and knowledge processing operations they support.

Because of the mechanical properties of aluminium (Al), an accurate prediction of its properties has been challenging. Researchers are seeking reliable models for predicting the mechanical strength of Al alloys owing to the continuous emergence of new Al alloys and their applications. There has been widespread use of empirical and statistical models for the prediction of different mechanical properties of Al and Al alloy, such as linear and nonlinear regression. Nevertheless, the development of these models requires laborious experimental work, and they may not produce accurate results depending on the relationship between the Al properties, mix of other compositions and curing conditions.

Numerous machine learning (ML) models have been proposed as alternative approaches for predicting the strengths of Al and its alloys. The hardness of Al alloys has been predicted by implementing various ML algorithms, such as linear regression, ridge regression, lasso regression and artificial neural network (ANN). This investigation critically analysed and discussed the application and performance of models generated by linear regression, ridge regression, lasso regression and ANN algorithms using different mechanical properties as training parameters.

Considering the definition of the problem, linear regression has been found to be the most suitable algorithm in predicting the hardness values of AA7XXX alloys as the model generated by it best fits the data set.

The work presented in this paper is original and not submitted anywhere else.

The purpose of this paper is to develop a new ontology for knowledge management (KM) technologies, determining the relationships between these technologies and classification of them.

The study applies NOY methodology – named after Natalya F. Noy who initiated this methodology. Protégé software and ontology web language are used for building the ontology. The presented ontology is evaluated with abbreviation and consistency criteria and knowledge retrieval of KM technologies by experts.

All the main concepts in the scope of KM technologies are extracted from existing literature. There are 241 words, 49 out of them are domain concepts, eight terms are about taxonomic and non-taxonomic relations, one term relates to data property and 183 terms are instances. These terms are used to develop KM technologies’ ontology based on three factors: facilitating KM processes, supporting KM strategies and the position of technology in the KM technology stage model. The presented ontology is created a common understanding in the field of KM technologies.

Lack of specific documentary about logic behind decision making and prioritizing criteria in choosing KM technologies.

Uploading the presented ontology in the web environment provides a platform for knowledge sharing between experts from around the world. In addition, it helps to decide on the choice of KM technologies based on KM processes and KM strategy.

Among the many categories of KM technologies in literature, there is no classifying according to several criteria simultaneously. This paper contributes to filling this gap and considers KM processes, KM strategy and stages of growth for KM technologies simultaneously to choice the KM technologies and also there exists no formal ontology regarding KM technologies. This study has tried to propose a formal KM technologies’ ontology.

The purpose of this paper is to assess the perceived importance of information technology (IT) as a core factor enabling innovation in knowledge management (KM). The aim is to propose an approach for using the IT tools for KM involved in the design of effective learning applications to help the firms to guide internal venturing development.

The research design at the base of the present research has provided a survey which was conducted on a sample consisting of 187 different companies located in the Italian provinces of Naples and Caserta, from the segments of the electronics, the computer and network systems, the software (SW) development, aimed at deepening connections and influences of the use of IT-based knowledge management system (KMS). Structural equation modeling technique has been performed to get results.

Consistent with what has been observed in previous studies (Del Giudice and Straub, 2011), the empirical analysis developed has confirmed that 72 per cent of companies surveyed has defined themselves much agree on the ability of KMS for supporting complex phenomena such as internal venturing: both encouraging the individual to become “intrapreneur”; and helping the employee to improve their performances within business processes in which they are likely to be involved.

This paper reviews key research literature issues on IT revolution for KM. With the growth of new and exciting IT opportunities, however, comes the daunting opportunity to experiment interoperable, easy to use, engaging and accessible IT applications that communicate the right information needed to reconfigure innovative mechanisms for entrepreneurism and organizational performance.

In recent years, the partially averaged Navier–Stokes (PANS) methodology has earned acceptability as a viable scale-resolving bridging method of turbulence. To further enhance its capabilities, especially for simulating separated flows past bluff bodies, this paper aims to combine PANS with a non-linear eddy viscosity model (NLEVM).

The authors first extract a PANS closure model using the Shih’s quadratic eddy viscosity closure model [originally proposed for Reynolds-averaged Navier–Stokes (RANS) paradigm (Shih et al., 1993)]. Subsequently, they perform an extensive evaluation of the combination (PANS + NLEVM).

The NLEVM + PANS combination shows promising result in terms of reduction of the anisotropy tensor when the filter parameter (f_k) is reduced. Further, the influence of PANS filter parameter f on the magnitude and orientation of the non-linear part of the stress tensor is closely scrutinized. Evaluation of the NLEVM + PANS combination is subsequently performed for flow past a square cylinder at Reynolds number of 22,000. The results show that for the same level of reduction in f_k, the PANS + NLEVM methodology releases significantly more scales of motion and unsteadiness as compared to the traditional linear eddy viscosity model (LEVM) of Boussinesq (PANS + LEVM). The authors further demonstrate that with this enhanced ability the NLEVM + PANS combination shows much-improved predictions of almost all the mean quantities compared to those observed in simulations using LEVM + PANS.

Based on these results, the authors propose the NLEVM + PANS combination as a more potent methodology for reliable prediction of highly separated flow fields.

Combination of a quadratic eddy viscosity closure model with PANS framework for simulating flow past bluff bodies.

Software developers extensively use stack overflow (SO) for knowledge sharing on software development. Thus, software engineering researchers have started mining the structured/unstructured data present in certain software repositories including the Q&A software developer community SO, with the aim to improve software development. The purpose of this paper is show that how academics/practitioners can get benefit from the valuable user-generated content shared on various online social networks, specifically from Q&A community SO for software development.

A comprehensive literature review was conducted and 166 research papers on SO were categorized about software development from the inception of SO till June 2016.

Most of the studies revolve around a limited number of software development tasks; approximately 70 percent of the papers used millions of posts data, applied basic machine learning methods, and conducted investigations semi-automatically and quantitative studies. Thus, future research should focus on the overcoming existing identified challenges and gaps.

The work on SO is classified into two main categories; “SO design and usage” and “SO content applications.” These categories not only give insights to Q&A forum providers about the shortcomings in design and usage of such forums but also provide ways to overcome them in future. It also enables software developers to exploit such forums for the identified under-utilized tasks of software development.

The study is the first of its kind to explore the work on SO about software development and makes an original contribution by presenting a comprehensive review, design/usage shortcomings of Q&A sites, and future research challenges.

Digital transformation (DT) innovation is a monumental contribution that has had a profound effect on several worldwide industries. The aim of this research is to evaluate the current and future trends in DT specifically focusing in construction industry.

This study adopts a qualitative analysis approach grounded on descriptive and bibliometric analyses. In total, 283 papers from Scopus between January 2015 and April 2023 were retrieved in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) review methodology. This study examines the publishing trends, most productive nation, university, publications and authors. Keyword co-occurrence analysis and thematic evolution were analyzed through Vosviewer and Biblioshiny.

The results illustrate a growing desire to use digital technologies in the construction industry, which shows the topic's power and expanding popularity. This research reveals various emerging themes based on technology usage in construction sector. Out of 14 themes, occupational health and safety, mass customization, virtual reality and artificial intelligence were identified as isolated themes. Further, this study elaborates the difficulties encountered by the construction industry while employing digital technologies and examines the interrelationships among various keywords in DT and reveals the paradoxes and hotspots.

This research adds to the body of literature as it identifies the research areas and gaps in the existing DT domain in construction industry. The integration of technology in this sector has an intense positive future vision as various subareas have immense potential for technology application.

Following are the learning outcomes: recognize the significance of project management as an integrated approach for managing projects in an unprecedented situation. Identify the issues related to managing contemporary projects such as shorter product life cycles, changing customer preferences and last-minute risks. Evaluate the role of sub-domains of project management such as project prioritization, project negotiation, project portfolio system, project risk assessment and management and project stakeholder management.

It is the year 2020, and the entire world is struggling to cope up with the crisis caused by the corona virus (COVID-19) pandemic. Normal life has come to a standstill. All industries have realized the significance of developing innovative strategies to move to the new normal situation. This case describes the plight of TVR Cinemas, a business vertical of Tiya Group, which caters to the business of production and distribution of Bollywood and Hollywood movies in India. With the lock-down of the Indian subcontinent, the multiplex business is badly hurt. With new norms of sanitation, social distancing, and a ‘stay home stay safe policy’ the company has to devise new ways to sustain in the market. This case invites students to put themselves in the shoes of the company project manager, Mr. Ramchandani, to provide recommendations about deciding ways to release seven pipe-lined Bollywood movie projects, deciding on the appropriate over-the-top (OTT) partner for tie-ups, and devising strategic steps to recover the reputation of the company by launching an OTT platform themselves.

The case is useful for introducing basics of project management along with decision making for projects in an uncertain situation. This case can be used for the students of undergraduate/postgraduate/executive level across the modules of project management/project risk management and negotiation management.

Teaching notes are available for educators only.

CSS 9: Operations and logistics.

This chapter aims to analyse the evolution of research in the Indian tourism and hospitality domain from 1976 to 2021. By employing the bibliometric and systematic literature review, the chapter highlights the prominent authors, institutions, methods, emerging and explored research themes in the tourism and hospitality field. Accordingly, the authors collected 458 articles from core tourism and hospitality related journals using PRISMA and evaluated them using VOSViewer. The findings revealed an emic perspective of research contribution in Indian tourism and hospitality. While some topics such as religious tourism, sustainability, cultural and heritage tourism products have attained more attention, topics such as tourism entrepreneurship, technology and human resource development failed to seek attention in the eyes of journals and researchers. Although the literature has expanded significantly, there is a need to build global academic networks to examine the state of Indian tourism and hospitality. The chapters suggest that future research should critically evaluate the schemes and initiatives undertaken by the government to promote Indian tourism, expand research to western and eastern parts of the country, and follow the mixed-method research to contribute holistically to the topic.