Search results

The information and knowledge about a product and its assembly are necessary to generate all feasible assembly sequences of that product. Assemblies contain a very large amount of information and complex relationships. Identifying assembled parts as well as their contact surfaces is very important in design and manufacturing since this information is essential. The problem is to not only make the information available but also use the relevant information for making decisions, especially determination of the optimum assembly sequence. This paper aims to address these issues.

This paper describes a system for processing assembly models and extracting assembly related data using application programming interface (API) of the computer‐aided design (CAD) software. These data are used to identify the relationships between different components of an assembly thus encouraging generation of feasible assembly sequences.

Instead of total human interpretation of the assembly design, a direct CAD database interface approach has been proposed to extract the relation with minimal manual involvement. The information extracted is used to generate a list describing the links between the assembled parts, the involved features and the type of link explicitly to facilitate assembly analysis and planning.

The methodology of using the API of the CAD modeling package SolidWorks, is a novel approach in which the assembly mate information is captured. Instead of total human interpretation of the assembly design, a direct CAD database interface approach has been proposed to extract the relation with minimal manual involvement.

Entrepreneurship, finance, technology and innovation, general management.

This case is suitable for students in finance, entrepreneurship and general management. The case seeks to understand the challenges of funding in technology startups and how they vary from product to service areas.

Availability of capital, short term and long term, is a major constraint faced by entrepreneurs. In India, in the technology sector, services companies have been able to innovate and grow whereas product-based companies that survived the challenges of funding have been scarce. Aluru Karthik Prasanth is presented in the case as a young entrepreneur with passion and drive to pursue the commercialization of an idea he developed during his undergraduate studies in engineering. Leaving behind the beaten paths ofMTech and employment, he decides to pursue MS entrepreneurship at IIT Madras. As he starts with his program, he analyses the challenges faced by previous technology start ups, Karthik has a dilemma – deciding whether to follow a product idea or change his plans to a technology service.

A detailed analysis of the case would help students address the following questions in entrepreneurial decision making: should an entrepreneur in technology in India pursue a product idea or service idea?. What are the pros and cons of each choice in financing? How can an entrepreneur pursue a product idea and minimize his/her risks? How does an entrepreneur's personal attributes influence his/her course? (e.g. family background, need for control) What are the challenges and opportunities in each kind of funding: debt, venture, angel, etc. in the Indian context?

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

In recent years, the topic of women's entrepreneurship has gained increasing attention from researchers and policymakers. Its role in economic growth and development has been widely recognized in several studies. However, the relationship between gender in entrepreneurship and innovation is an underexplored aspect in particular at a country-level perspective. This paper aims to answer the following question: Does female entrepreneurship impact innovation at a national level?

Using a panel dataset of 35 Organization for Economic Co-operation and Development (OECD) member countries over the period 2002–2019, the authors carried out a comprehensive econometric analysis, based on the fixed-effect model, the random-effect model and the feasible generalized least squares estimator, as well as a battery of tests to prevent problems of multicollinearity, heteroscedasticity and autocorrelation of the error terms. In doing so, the authors found consistent and robust results on the linear and nonlinear relationship between women's entrepreneurship and innovation, using selected country indicators from the Global Entrepreneurship Monitor (GEM) consortium, the Worldwide Governance Indicators (WGI) and the World Development Indicators (WDI), including female self-employment, female nascent entrepreneurship and R&D investment and controlling for the same relationships in the case of men's entrepreneurship.

This study shows that the level of R&D investment, which according to the literature can be considered as a proxy of innovation, is higher when the level of women's entrepreneurship is low. However, exploring more in depth this relationship and the relationship between male entrepreneurship and innovation, the authors found two important and new results. The first one involves the different impact on R&D investment of female self-employment and female nascent entrepreneurship. In particular, female self-employment appears to have a linear negative impact on the R&D, while the impact of female nascent entrepreneurship is statistically nonsignificant. The second one affects the nonlinearity of the negative effect, suggesting that very different challenges are possible at different levels of women's entrepreneurship. In addition, analyzing the role of human capital in the relationship between R&D investment and women entrepreneurship, it emerges that higher education (as the main component of human capital) makes early-stage women's entrepreneurship more technologically consuming, which promotes R&D investment. A higher level of education lessens the significance of the negative relationship between the simplest type of women entrepreneurship (female self-employment) and R&D investment.

The originality of the study is that it provides new evidence regarding the link between women's entrepreneurship and innovation at the macro level, with a specific focus on self-employed women entrepreneurs and early-stage women entrepreneurship. In this sense, to the best of the authors' knowledge, this study is among the few showing a nonlinear relationship between women's entrepreneurship and country-level innovation and a negative impact only in the case of female self-employment. Moreover, this study has relevant implications from a policymaking perspective, in terms of promoting more productive women's entrepreneurship.

The purpose of this paper is to explore an employability enhancement initiative, the Additional Skills Acquisition Programme (ASAP) project in the state of Kerala, India, as a case for the inclusive development of employability in college and university students.

ASAP is applied as a case study to examine the employability enhancement initiative in India.

Participation in the ASAP project led to increased measures of employability. These increases were most pronounced in women and individuals living below the poverty line. Partnerships between educational institutions and organisations focusing on students’ technical and skill development can help overcome local and national talent shortages.

The theoretical implications come from addressing the lack of representation of skills based employability initiatives among students from India in the vocational behaviour literature. Practical implications come from knowledge sharing of innovative strategies to enhance the employability outcomes of individuals entering the labour market. New ways to overcome the reported mismatch in business education between curriculum content and the development of employability skills in graduates are presented. Benefits for diversity and inclusion are also provided.

The purpose of this study is to explore how international entrepreneurial orientation of top management team (TMT) of software product firms influence their firms' internationalization activities.

This study uses interpretive analysis techniques and examines data collected from in-depth interviews and secondary sources from 20 software product firms.

The analysis of data reveals the existence of a pathway through which the international entrepreneurial orientation of the TMT influences the firm's strategic learning functions (knowledge creation, dissemination, interpretation and implementation) which in turn influences the firm's internationalization activities.

The authors extend the existing knowledge by demonstrating an existence of path to interpret the individual attribute of international entrepreneurial orientation of TMT with the organization's knowledge management functions. Building on the theories of knowledge-based view and organizational learning, and by leveraging the microfoundations approach, a process model is also derived based on evidence from data analysis to enable examination of the combined effects of the international entrepreneurial orientation of TMT, firm's strategic learning on internationalization.

The authors provide an integrative process model that connects TMTs' international entrepreneurial orientation to the firms' strategic learning processes, which in turn is linked to examine the combined influence of these constructs on the internationalization activities of a firm.

The purpose of this paper is to develop an efficient brain tumor detection model using the beneficial concept of hybrid classification using magnetic resonance imaging (MRI) images Brain tumors are the most familiar and destructive disease, resulting to a very short life expectancy in their highest grade. The knowledge and the sudden progression in the area of brain imaging technologies have perpetually ready for an essential role in evaluating and concentrating the novel perceptions of brain anatomy and operations. The system of image processing has prevalent usage in the part of medical science for enhancing the early diagnosis and treatment phases.

The proposed detection model involves five main phases, namely, image pre-processing, tumor segmentation, feature extraction, third-level discrete wavelet transform (DWT) extraction and detection. Initially, the input MRI image is subjected to pre-processing using different steps called image scaling, entropy-based trilateral filtering and skull stripping. Image scaling is used to resize the image, entropy-based trilateral filtering extends to eradicate the noise from the digital image. Moreover, skull stripping is done by Otsu thresholding. Next to the pre-processing, tumor segmentation is performed by the fuzzy centroid-based region growing algorithm. Once the tumor is segmented from the input MRI image, feature extraction is done, which focuses on the first-order and higher-order statistical measures. In the detection side, a hybrid classifier with the merging of neural network (NN) and convolutional neural network (CNN) is adopted. Here, NN takes the first-order and higher-order statistical measures as input, whereas CNN takes the third level DWT image as input. As an improvement, the number of hidden neurons of both NN and CNN is optimized by a novel meta-heuristic algorithm called Crossover Operated Rooster-based Chicken Swarm Optimization (COR-CSO). The AND operation of outcomes obtained from both optimized NN and CNN categorizes the input image into two classes such as normal and abnormal. Finally, a valuable performance evaluation will prove that the performance of the proposed model is quite good over the entire existing model.

From the experimental results, the accuracy of the suggested COR-CSO-NN + CNN was seemed to be 18% superior to support vector machine, 11.3% superior to NN, 22.9% superior to deep belief network, 15.6% superior to CNN and 13.4% superior to NN + CNN, 11.3% superior to particle swarm optimization-NN + CNN, 9.2% superior to grey wolf optimization-NN + CNN, 5.3% superior to whale optimization algorithm-NN + CNN and 3.5% superior to CSO-NN + CNN. Finally, it was concluded that the suggested model is superior in detecting brain tumors effectively using MRI images.

This paper adopts the latest optimization algorithm called COR-CSO to detect brain tumors using NN and CNN. This is the first study that uses COR-CSO-based optimization for accurate brain tumor detection.

Purpose – This study investigates the status of related party disclosure in an emerging economy, that is, India. The reason behind concentrating on India is due to its opening of the economy in 1991 to attract foreign investment. Hence, it is significant that investors are provided with credible information. The accounting value of ‘secrecy’ underlying India and the voluntary nature of detailed reporting about related parties in this country further motivated the present study.

Methodology/Approach – The research method includes a content analysis of the ‘related party disclosure’ section of annual reports of a sample of Indian companies for the financial years 2002–2006.

Findings – Indian companies disclosed more than the required minimum level of related party disclosure as required in the Indian accounting standard. No association between related party disclosure with market capitalization, industry affiliation and foreign listing was found for the year 2006. However, when the scores of all the five years 2002–2006 were considered manufacturing and automotive companies disclosed more about related parties than diversified, service and technology.

Research Limitations – The limitations of our findings rests upon the fact that we have not examined the effect of factors such as the composition of management of each company and the presence of Indians/Non-Indians in management.

Originality/Value of the Paper – Most studies exploring disclosure practices are directed towards developed countries. The disclosure practices in developing countries is an under researched area. This paper contributes towards the existing literature by taking the case of an emerging economy, that is, India.

The sudden outbreak of COVID-19 shook up the Global tourism and threatened many tourism destinations. After the first wave of COVID-19, the invention of vaccines prevented the spread of virus and the industry started healing itself. However, the second wave of the pandemic disrupted the recovery plans and polices of many tourism companies and planners. Tourism and Hospitality industry has faced many challenges in the past. But pandemic of this magnitude was unexpected. The impact is much deeper and complete end of such virus is unpredictable. The need of the hour is to take actions to unpack and reduce such recurring repercussion of COVID-19 and rethink and repackage tourism for restoring the demand. This foregrounds a framework to identify the impact of COVID-19 on Odisha Tourism and formulate a strategic approach for the restoration and survival of the tourism industry in Odisha. The study is both exploratory and descriptive in nature, based upon a qualitative research approach and includes collection of both primary and secondary data. Results of the study reveal that lockdown/shutdown and other restrictions due to pandemic have impacted the key tourism stakeholders in Odisha leaving them under financial instability. The study emphasises on promotion of domestic tourism in a big way. The study focuses on alternative tourism development and improved infrastructure relating to the screening, sanitisation and social distancing of the visitors will build confidence among the visitors and recreate interest in travel. IATA Travel Pass/Vaccination certificate should be a mandatory travel document for safe travel practice.

This study investigates the various themes around the demand-driven approach of vocational education and training (VET). The study focuses on investigating two major aspects of VET. Firstly, the extant literature has been systematically classified based on seven parameters: Geography, Focus on Vocational Education, Research Methods, Economic Sector, Origin of Study, Type of Training and Level of Skill. Secondly, this study has explored various themes around the VET implementation, performance gaps and road ahead.

Thematic analysis with the systematic literature review (SLR) method is applied to 50 research papers on VET, published between 2011 and 2022.

This systematic review has found that experiential compliments VET and VET is the medium of skill development. Further, it was extracted through themes that VET may help ensure alternate employment in rural areas and contribute to micro- and macro-level economic development. Also, there is a requirement to adopt a demand-driven approach to VET by localizing VT content and delivery.

The study's findings are directed towards the need for demand-driven and customized VET. This study also explores many potential areas for further empirical research through various themes.

This study is a novel effort that extracts the themes constituting the effect of VETs along with the descriptive analysis of the extant literature using the SLR approach. The study has rationalized the findings by providing due coding to various parameters in the previous studies under investigation.