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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?

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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.

The personality of an individual plays a vital role in the way an individual perceives organizational politics and justice in the workplace. However, there is meager research on how an individual's personality affects the perceptions of organizational politics and justice. This study endeavors to fill this gap by analyzing the mediating role of organizational politics perceptions on the relationship between Big Five personality dimensions and organizational justice by controlling various demographic variables. The study also proposes a benchmarking model that the policymakers can use to create positive organizational justice perceptions.

In this cross-sectional research, the data were collected through a multi-stage random sampling technique from 493 faculty members working in four public universities of Punjab, India. Out of 493 employees, 76.9% of the employees were assistant professors, 12.0% were associate professors and 11.2% were assistant professors. 51.5% of the employees were female, and 48.5% of the employees were male. To test the proposed hypothesized relationships, a structural equation modeling technique was used.

Results of the structural equation modeling showed that openness to experience, conscientiousness and extraversion have a negative relationship with perceptions of organizational politics. However, their relationship with perceptions of organizational justice is positive. Neuroticism has a positive relationship with perceptions of organizational politics, whereas it has a negative relationship with perceptions of organizational justice. Results also showed that high perceptions of organizational politics have a negative effect on employee's perceptions regarding organizational justice. The mediation analysis results showed that perceptions of organizational politics mediate the relationship between an individual's personality and perceptions of organizational justice.

There is a scant amount of research available that considers Big Five personality dimensions and organizational politics as the antecedents of organizational justice. Hence, the current study tries to fill this research gap by proposing a research model on antecedents and consequences of perceptions of organizational politics based on the cognitive-affective processing system (CAPS).

This paper begins with a challenge to explore the scope and dimensions of corporate social responsibility (CSR) in Islamic banking and design a CSR disclosure index, which may gauge the level of CSR disclosure in Islamic banking.

It adopts a two-fold approach to develop the CSR disclosure index for Islamic banking, such as “identification” and “prioritization.” In the ambit of identification, it relies on the existing literature related to CSR and Islamic banking. However, it undertakes analytical hierarchy process (AHP) method for prioritization through the sample of 104 experts related to Islamic banking of Pakistan.

It concludes the CSR index for Islamic banking contains five dimensions, including 79 items across 20 sub-dimensions. The results of AHP indicate that the CSR dimensions are important for Shariah governance, employee, community, customer and environment. Moreover, within dimensions, the most important sub-dimensions are Shariah compliance, customer service and quality, green investing/banking, customer relationship, training and development and poverty alleviation.

The CSR disclosure index of this study has important implications for academicians, such as it paves the ways for further investigations and practical usage of index to gauge the level CSR disclosure of Islamic banking. Moreover, it delineates the spectrum of responsibilities for managers of Islamic banking under the domain of CSR.

The proposed CSR disclosure index is comprehensive and stresses on the social responsibility of Islamic banking toward stakeholders. In nutshell, this study offers what is expected from the practitioners of Islamic banking in the domain of social responsibility.