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This paper aims to explore the outcomes of an analysis on day by day task – journey planning conduct of senior citizens by using a modern dynamic model and a family unit travel overview, gathered in Bhubaneswar, Odisha, of India in 2018. The task-journey planning display assumes an unique time–space-constrained planning development.

The main commitment of this paper is to reveal day by day task – journey planning conduct through a comprehensive dynamic framework. Numerous behavioural subtleties are revealed by the subsequent empirical model. These incorporate the role that income plays in directing outside time consumption decisions of senior citizens. Senior citizens in the most elevated and least salary classes will in general have minor varieties in time consumption decisions than those in middle pay classifications. Generally speaking, the time consumption decisions become progressively steady with expanding age, demonstrating that more task durations and lower task recurrence become progressively predominant with increasing age.

Day by day task-type and area decisions reveal a reasonable irregular utility-amplifying level headed conduct of senior residents. Unmistakably expanding spatial availability to different task areas is an urgent factor in characterizing every day outside task interest of senior residents. It is likewise evident that the assorted variety of outside task-type decisions decreases with rise in age and senior citizens are major touchy to auto journey hour than to travel or non-mechanized journey hour.

The fundamental constraint to the dynamic structure is that the mode decision model was viewed as exogenic to the demonstrating framework. The essential purpose behind this supposition that was that senior citizens in the Bhubaneswar are overwhelmingly customers of the local car. Coordination of the mode decision display part inside this structure would deliver a full task-based journey request model that could catch trip age, starting times, outing circulation and mode decision using a solitary demonstrating framework.

The purpose of this study is to explore the effect on distress of senior citizen’s anxiety levels in quarantine during the second wave of COVID-19 pandemic. This is a descriptive study, in which data were collected using the online survey method, a sociodemographic form, a semi-structured data form for second wave COVID-19, the anxiety-level scale and the distress scale.

Data were collected during the period when a curfew was imposed for the senior citizen. Data were analyzed using a structural equation model. According to the structural equation model, anxiety was determined as a predictor of distress.

The anxiety levels of the senior citizen who were 60–69 years old, female, single; had inadequate knowledge about the pandemic; and had not encountered a similar pandemic before considered that family bonding was affected negatively, so they became alone and reported that they became bored, exhausted and distressed during the pandemic, which increased their distress levels. Anxiety affects distress in the senior citizens.

One of the policy implications of this study is that governments should provide behavioral support to citizens during a pandemic. For example, short-term home-based psychological interventions should be developed to reduce the negative effects of the second wave of COVID-19 pandemic on mental health.

The anxiety levels increased distress levels for those senior citizens who considered their information about the second wave of COVID-19 insufficient; had hyper-emotionality; longed for their families; and felt tense, overwhelmed and lonely during the pandemic. In addition, factors such as constraints of flexibilities, prevention of socialization and decreased physical movements also affect distress in senior citizens.

In spite of the fact that literature shows that big data analytics (BDA) pass on a distinct corporate ability, little is thought about their performance impacts, specifically logical conditions. Establishing this research in the dynamic capability view (DCV) and corporate culture and dependent on an sample of 310 Indian production industries, the purpose of this paper is to experimentally study the impacts of BDA on corporate social performance (CSP) and corporate green performance (CGP) using variance-based structural equation modeling (for example, PLS).

A questionnaire was used to accumulate data sets to examine research hypothesis. The authors pre-examined the survey with six scholastics and six directors from production firms in India. With the help of their sources of data, the authors have adjusted their wordings to improve the transparency and guarantee that length of the survey is accurate. Finally, the questionnaire was prepared for definite data collection.

The authors conclude that BDA has noteworthy effect on CSP/CGP. Notwithstanding, the authors did not find proof for directing role of flexible direction and control direction in the connections among BDA and CSP/CGP. This research offers a more nuanced comprehension of the performance ramifications of BDA, and in this way, it is tending to the critical inquiries of how and when BDA can improve in supply chains.

This investigation makes helpful commitments to the BDA research and its effect on CSP/CGP. To the authors’ best of information, this is the first hypothesis-focused approach to clarify the effect of BDA on ecological and social supportability. Second, this investigation likewise gives empirical proof that BDA impact on CSP/CGP and is free of flexible or control direction of the industry.

The purpose of this paper is to present a unique model for the production–recycling–reuse of aluminium refreshment cans. It is presumed that disposed-off 250-ml aluminium cans are collected from the retail outlet. The cans are thereafter arranged into non-tainted and tainted categories.

The current model considers all the factors, i.e. producing, recycling and remanufacturing, whereas the previous models provide emphasis only one factor. Six procedures were considered in the improvement of the mathematical model.

In this paper, a recycling–reuse model that remanufactures non-tainted aluminium beverage cans and uses regrind from damaged non-tainted aluminium beverage cans mixed with parent aluminium material in the production of new cans was developed and analysed to reduce the amount of aluminium beverage cans that are disposed off in a scrapyard. The model is assumed to have no shortcomings, and the different percentages regarding the classes of cans are taken to be deterministic.

The model incorporates several unique aspects, including accounting for the cost of land use and associated environmental damage through the calculation of a present value that is charged to the manufacturer.

The purpose of this paper is to provide an analysis on the relationship between information technology (IT) adoption and its usage and firm performance (banking and software firm) in India. Firm performance was measured with the help of three important variables: efficiency, effectiveness and productivity. Each one of the above has been described with a set of pretested questionnaires. Banks in India, in particular are geared for comprehensive banking solutions with extensive branch networks. Result from statistical analysis was validated with that achieved from ANN modeling.

Survey instrument was pilot tested. The pilot survey was administered to 20 randomly selected Indian service firms, whose Standard Industrial Classification codes were 6,021 (nationalized commercial Banks) and 7,371 (software firms). A 50 percent response rate was received. Internal reliability using Cronbach’s α was carried out for the entire set of responses from the pilot study. In addition, qualitative follow up from respondents was done. Unreliable items were deleted and modifications wherever necessary were made.

The research finds two important results with respect to IT adoption and firm performance. The first result is that service firms who implemented IT tools and techniques early achieved more turnover thereby greater market share from innovation/adoption (world-first and, to some extent India-first). These firms are able to better commercialize their service even if their most important innovations/adoptions supported by vendor’s to some extent. The second result is that service firms, which introduce new services, even if the service is already on the national or international front, derived more commercial sales from innovation, thus achieving more firm performance. Therefore, late followers (firm-first) would have higher sales from innovation by introducing services with high original content.

Performance is measured due to IT adoption.

The application of rinse cycle softener after the household laundry process has become more common in recent times. This study aims to understand the effect of repeated rinse cycle softener treatment on the mechanical and frictional properties of the cotton fabric.

Cotton-woven fabric is treated with commercial rinse cycle softener repeatedly for 15 times. After treatment, the fabric was evaluated for the changes in mechanical properties using the Kawabata evaluation system.

The results of this study revealed that the softener treatment reduces the tensile properties (41.25%) and increases the overall extensibility of the fabric up to 20.89%. The shear (34.57%) and bending rigidity of the treated fabric are reduced considerably than the untreated fabric (58.02%). The increment in the fabric softness and fluffiness was confirmed with the increment in the compression and the difference between the initial and final thickness at maximum pressure. Statistical significance (p < 0.05) is noted only in the case of bending and surface friction properties (dynamic friction).

The usage of rinse cycle softeners in the household laundry has a significant influence on the comfort characteristics of the cotton-woven fabric. Repeated usage of rinse cycle softener increased the fabric softness and fluffiness of the fabric and also reduced the tensile properties significantly.

This paper aims to examine the traditional business communities and family businesses of India, their emergence and sustained growth.

The authors analyze the role of business communities in family businesses of India and identify business communities that have still sustained and marked a global presence.

Business communities such as Marwaris have the knack for business activities and are leaders of family businesses in India today, who have sustained their past success and continue to create new histories. Other traditional business communities such as Parsis, Sindhis, Chettiars and Gujarati banias have not been able to sustain much. Possible reasons were switching to white-collar jobs, taking up diplomacy and other professions, inter caste marriages, international migration in search of business and Indian government policies.

This study provides a useful source of information for academics, policy-makers and economists.

Traditional business communities populate the list of family businesses that have marked their global presence. This paper identifies various factors that are responsible for the growth and sustainability of these business communities.

The study clarifies the role of business communities in domestic economic development.

The paper explored traditional business communities of India and assessed their role in family businesses of India that currently mark a global presence.

The case study is based on a social entrepreneurial journey where the authors have used an interview method to get the insights from the protagonists and the employees. Rigorous interviews were conducted online and in person for deep analysis of the protagonist’s strategies and decisive dilemma.

Secondary data was collected from company’s website for facts and figures.

This case study is a story of indigenous tribes of Odisha from the eyes of a woman who, with her co-founder, empathized with their vulnerable life and took on the challenge of creating sustainable livelihoods by establishing Millet Magic Foundation. The Millet Magic Foundation was established in 2021 by Shyama and her cofounder to uplift the indigenous tribe of Mayurbhanj by providing them livelihood through millet-based products. The foundation launched their millet-based snack products with the brand name WOWMOM. Millet Magic Foundation created social impact for the tribals by providing them with employment, fair wages, health care and social well-being. The specialty of the Millet Magic was reverse positioning and focusing on the bottom of the pyramid. The success of the Millet Magic Foundation relied on its mission to uplift the life of these indigenous tribal, especially the women, by overcoming the challenges with the strategies to establish Millet Magic as a social enterprise.

The case study is primarily suitable for postgraduate programme to teach the concept of social entrepreneurship in the entrepreneurship module. The case study can also be used for highlighting the role of social enterprise in sustainable economic development of emerging economies.

The requirement of robust cooperative control is essential to achieve consensus between unmanned aerial vehicles (UAVs) operating in swarm formation. Often the performance of these swarm formations is affected by wind gust disturbances. This study proposes an effective robust consensus protocol, which will ensure the UAVs in swam formation to collectively meet the desired objective in real-time scenario.

In this work, the swarm of UAVs are modeled as multiagent systems by using the concepts of algebraic graph theory. To address the challenges of a complex and dynamic environment, an adaptive sliding mode control (SMC)-based consensus protocol is proposed. The closed loop stability analysis is established through Lyapunov theory.

The efficacy of the discussed robust consensus controller is analyzed through numerical simulations. Further, the quantitative analysis using Monte-Carlo simulations validates performance of the proposed robust consensus protocol. The presented consensus protocol can be easily implementable as robust flight controller for swarm of UAVs. Also, as the consensus theory is based on the algebraic graph theory, the proposed design is scalable for a large number of UAVs in swarm formation.

The proposed adaptive SMC achieves robust consensus of longitudinal dynamics states between all the UAVs by mitigating the effects of wind gust disturbances. Also, the adaptive SMC offers chattering-free control efforts.

Financial inclusion is a prerequisite for inclusive development. In 2014, the Indian Government introduced the Pradhan Mantri Jan-Dhan Yojana (PMJDY) with a similar objective. The study aims to analyse the effectiveness of banks in the implementation of financial inclusion policy, i.e. PMJDY.

To evaluate the effectiveness of Indian banks, the study used the data over a seven-year period, from 2014–2015 to 2020–2021. Data are analysed by using the data envelopment analysis technique.

The study discovered that public sector banks performed better than private sector banks (PVBs) in terms of boosting financial inclusion under the PMJDY scheme. In terms of implementing the PMJDY programme, the State Bank of India rated first.

Results recommended that policymakers set goals for banks. In order to encourage consumers to utilise their accounts, banks ought to introduce supplementary financial products and implement incentive programs.

The study is the first of its kind to measure the performance of Indian banks in the implementation of the PMJDY scheme.