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Increasing environmental uncertainty, more demanding customers, rapid technological growth and rising capital costs have all forced firms to evolve from collaborating with buyers and suppliers to collaborating with their competitors and that is called coopetition. The purpose of this paper is to better understand the antecedents and outcomes associated with coopetition.

Building from the existing literature and three theoretical foundations, resource-based theory, resource dependence theory and game theory, the authors develop a model showing the antecedents and outcomes of coopetition and associated propositions of coopetition. Using a semi-structured interview process of 21 industry executives, the authors offer empirical support for the proposed coopetition model and propositions.

Firms are increasingly dependent on the knowledge and expertise in external organizations to innovate, solve problems and improve supply chain performance. This research suggests that there is a value for firms to consider coopetition as a part of their inter-firm strategies.

The semi-structured interview process used in this research provided a wealth of information and executive experiences in coopetition. The interviews, however, only provide a single perspective of collaborative engagements with competitors. Multiple perspectives of each project would add value to this research.

Collaboration among buyers and suppliers have been well researched; however, there has not been as much research on coopetition. This research provides a new area for future research for academics and offers suggestions for managers to improve the effectiveness and efficiency of their coopetition projects.

The COVID-19 outbreak and severe weather challenges have disrupted the supply chains of various industries across the globe, including the automotive industry. The purpose of this study is to investigate the outbound vehicle logistics practices of a Chinese automotive firm to achieve value chain optimization to meet the order fulfillment through the feasibility of using blockchain technology (BCT).

To identify the research gap and to formulate the research questions, a detailed literature review was conducted. To compare and contrast the Chinese automotive outbound logistics process, we interviewed Original Equipment Manufacturers (OEMs), vehicle logistics service providers and local IT vendors. To study the feasibility of BCT in the case companies, we conducted interviews with the experts as part of the in-depth empirical case study. Case analysis has emerged as the research themes.

In-depth data analysis suggested three important areas that needed focus from OEMs (1) handling distribution constraints; (2) ability to monitor quality; and (3) good communication with network partners and receiving real-time alerts, especially during peak demand periods. Our findings confirm that OEMs can address all these challenges in the presence of BCT alliance frameworks with automotive supply chain partners.

The scope of the research is restricted to the Chinese automotive OEMs. This research can be extended to other countries practicing the same level of outbound vehicle logistics. Data collected in this research were generated from a data sheet which is subjective to some extent.

This research provides practical insights for practitioners on the feasibility of using BCT on outbound logistics which can optimize order fulfillment and performance.

The paper adds insights into the feasibility of using BCT in automotive vehicle logistics to increase performance and compares the practices from China with developed economies.

Association rule mining generates the patterns and correlations from the database, which requires large scanning time, and the cost of computation associated with the generation of the rules is quite high. On the other hand, the candidate rules generated using the traditional association rules mining face a huge challenge in terms of time and space, and the process is lengthy. In order to tackle the issues of the existing methods and to render the privacy rules, the paper proposes the grid-based privacy association rule mining.

The primary intention of the research is to design and develop a distributed elephant herding optimization (EHO) for grid-based privacy association rule mining from the database. The proposed method of rule generation is processed as two steps: in the first step, the rules are generated using apriori algorithm, which is the effective association rule mining algorithm. In general, the extraction of the association rules from the input database is based on confidence and support that is replaced with new terms, such as probability-based confidence and holo-entropy. Thus, in the proposed model, the extraction of the association rules is based on probability-based confidence and holo-entropy. In the second step, the generated rules are given to the grid-based privacy rule mining, which produces privacy-dependent rules based on a novel optimization algorithm and grid-based fitness. The novel optimization algorithm is developed by integrating the distributed concept in EHO algorithm.

The experimentation of the method using the databases taken from the Frequent Itemset Mining Dataset Repository to prove the effectiveness of the distributed grid-based privacy association rule mining includes the retail, chess, T10I4D100K and T40I10D100K databases. The proposed method outperformed the existing methods through offering a higher degree of privacy and utility, and moreover, it is noted that the distributed nature of the association rule mining facilitates the parallel processing and generates the privacy rules without much computational burden. The rate of hiding capacity, the rate of information preservation and rate of the false rules generated for the proposed method are found to be 0.4468, 0.4488 and 0.0654, respectively, which is better compared with the existing rule mining methods.

Data mining is performed in a distributed manner through the grids that subdivide the input data, and the rules are framed using the apriori-based association mining, which is the modification of the standard apriori with the holo-entropy and probability-based confidence replacing the support and confidence in the standard apriori algorithm. The mined rules do not assure the privacy, and hence, the grid-based privacy rules are employed that utilize the adaptive elephant herding optimization (AEHO) for generating the privacy rules. The AEHO inherits the adaptive nature in the standard EHO, which renders the global optimal solution.

The main aim of carrying out this study was to measure the attitude of employees towards the adoption of information technology (IT)-based banking services among private sector banks of India.

Descriptive research methodology is used to accomplish the study using convenience sampling technique. The study is conducted in four private sector banks of India from Bikaner and Jaipur regions of Rajasthan. A questionnaire was developed based on five parameters, i.e. relative advantage, complexity, potential risk, strategic advantage in decision-making process and innovation and development to ascertain the attitude of the employees. The data are collected from 180 bank employees (executive, manager, officer) through structured questionnaire method out of which 129 employees replied to the questionnaire. Frequency percentage and ANOVA test is adopted as the statistical measure.

The study revealed that IT has led to increased customer satisfaction, improved operational efficiency, reduced transaction time, and gives the bank a competitive edge in reducing the running cost by quick responses in delivery of services.

A sample of only four private sector banks is taken into consideration.

The study is useful for the banking policy makers in terms of application of IT for spreading the reach of banking services to the mass.

This paper explores the use of IT-based banking services for research purposes on private banking. It will be of great value for researchers and professionals involved in IT-based banking services.

Mine rope‐wire profile is prone to stress concentration zones by virtue of its manufacturing style and reveals a metastable surface. Metastability, being a non‐equilibrium state, tends to revert back to stability. Such a process of reversion may generate a number of non‐equilibrium states on the surface, which in contact with the mining‐environment foster the growth of a stable and adherent passive‐film.

This study aims to explore the role of the Indian merchant class in 19th-century colonial India in addressing the social concerns of disability. Specifically, it addresses why and how business engaged with disability in colonial India.

This study’s methodology entailed historiographical approach and archival investigation of official correspondence and letters of business people in 19th-century colonial India.

Using institutional theory, the study’s findings indicate that guided by philanthropic and ethical motives, Indian businesses, while recognizing the normative and cognitive challenges, accepted the regulative institutional pressures of colonial India and adopted an involved and humane approach. This manifested in the construction of asylums and the setting up of bequeaths and charitable funds for people with disability (PwD). The principal institutional drivers in making of the asylums and the creation of benevolent charities were religion, social practices, caste-based expectations, exposure to Western education and Victorian and Protestantism ideologies, the emergence of colonial notions of health, hygiene and medicine, carefully crafted socio-political and economic policies of the British Raj and the social aspirations of the native merchant class.

In contrast to the 20th-century rights-based movement of the West, which gave birth to the global term of “disability,” a collective representation of different types of disabilities, this paper locates that cloaked in individual forms of sickness, the identity of PwD in 19th-century colonial India appeared under varied fragmented labels such as those of leper, lunatic, blind and infirm. This paper broadens the understanding of how philanthropic business response to disability provided social acceptability and credibility to business people as benevolent members of society. While parallelly, for PwD, it reinforced social marginalization and the need for institutionalization, propagating perceptions of unfortunate and helpless members of society.

Progress accomplished by the disabled entrepreneurs on the fronts of profits, turnover, return on investment (ROI), employees engaged, capital employed and diversification shall be studied and prevalence of gender differences in such progress shall be assessed.

The proposed research is descriptive in nature, based on primary data, collected by personally administering a well-structured interview schedule to 201 disabled entrepreneurs in Puducherry selected using a snowball sampling technique. Data collected has been analyzed using SPSS 21, using the tools of mean, one-way ANOVA, factorial ANOVA and chi-square (χ²) analysis.

The prevalence rate of entrepreneurship among female disabled is very low. Female disabled entrepreneurs manage higher turnover than their male counterparts and manage insignificantly higher progress in terms of capital employed, while male disabled entrepreneurs have managed insignificantly higher progress in terms of profits, diversification and ROI. Illiterate disabled, both men and women, struggle to manage decent turnover while the better educated manage better turnover.

This paper has highlighted the low prevalence rate of entrepreneurship among women disabled though the fewer women disabled entrepreneurs are performing better than their male counterparts in operating their business.

The findings of this paper may be taken as base for formulation of effective government policies in empowering disabled persons in general and women disabled in particular.

The purpose of this paper is to assess the prevalence and socio-economic determinants of common mental disorders among youth in India.

The study utilizes data from “Youth in India: Situation and Needs 2006-2007”. One-way analysis of variance is used to compare different groups. Poisson regression models are used to test the relationship of household, parental, and individual factors with mental health problems.

An estimated 11-31 million youth suffer from reported mental health problems in India. Results suggest that the household and individual factors like place of residence, wealth quintile, age, education, and occupation are the most important determinants of mental health problems among Indian youth. Parental factors lose their statistical significance once individual factors are controlled.

Little is known about correlates of mental health among youth. Strengthening on-going programmes and creating awareness about mental health issues through various programmes may help improve scenario. The two limitations of the study are: first, data covering all the states would have given a broader and clear picture of the issue; and second, due to cross-sectional nature of the data the study is not able to look into the cause-effect relationship.

There are few studies which have explored mental health problems covering smaller areas in India. This is the first and the largest study conducted on a representative population of Indian youth to determine the correlates of reported mental health problems using General Health Questionnaire-12.