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The purpose of this paper is to study the path-planning problem of an unmanned ground vehicle (UGV) in a predefined, structured environment.

In this investigation, the environment chosen was the roadmap of the National Institute of Technology, Rourkela, obtained from Google maps as reference. An UGV is developed and programmed so as to move autonomously from an indicated source location to the defined destination in the given map following the most optimal path.

An algorithm based on linear search is implemented to the autonomous robot to generate shortest paths in the environment. The developed algorithm is verified with the simulations as well as in experimental environments.

Unlike the past methodologies, the current investigation deals with the global path-planning strategy as the line following mechanism. Moreover, the proposed technique has been implemented in a real-time environment.

The study aims to envisage upon conceptualizing and developing the scales of smart health-care supply chain (HCSC) performance in the era of the fourth industrial revolution.

This study has implemented structural equation modelling to analyse the survey data. To analyse the collected data from the field investigation involving a sample size of 323, the IBM SPSS AMOS 26 software package is considered to implement exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) in this study.

The measurement model of the study developed using EFA and CFA has resulted in validating 32 items out of the 42 items. Resultantly, the analysis using the above-mentioned tools and the parsimony of items to scale development makes it more susceptible to contributing significantly to the current HCSC literature.

The HC providers need to consider a holistic and systematic approach while taking into account the constructs of smart HCSC performance, specifically, the effect of HCSC responsiveness and industry 4.0 between the independent and dependent variables. The scales are validated from the perspectives of developing countries such as India, and hence, their generalizability with respect to first-world countries is practically limited.

The scales validated in this study would facilitate managers and key decision-makers to apply the various elements of HCSC practices, gauge the application of these scales and monitor the performance of health-care facilities.

The present study aims to investigate the experience, contribution and opinions of users of respective institutional repositories (IRs) developed in India.

The survey method was used. The data collection tool was a web questionnaire, which was created with the help of software provided by surveymonkey.com

It was observed that 85.94 percent of respondents (154) were aware of the IR facility/service and 14.05 percent (26) were not aware of IR. More than half of the respondents, i.e. 52.43 percent (97), learned about the IR service through links provided on institutions' websites. About 36.21 percent of the respondents had not contributed to any type of repository, while 25.94 percent of respondents had contributed to their IR. A higher percentage (16.76 percent) of respondents felt it was an “easy and fast way to communicate research results”. The majority of the respondents, i.e. 113 (61.08 percent), were willing to deposit symposium/conference/seminar papers. The most important reason for contribution was found to be preservation of documents for the future. Peer review was very much acceptable as a quality control mechanism. More than half of the respondents (57.84 percent) wanted to provide open access without any barrier for their ideal repository.

Only users of the respective Indian institutional repositories are studied, and the findings are compared with other studies.

This is the first detailed study focusing on the users and their experience of institutional repositories.

With the rising needs of health-care (HC) services during the health outbreaks, it is essential to upgrade the existing HC delivery infrastructure. The study aims to prioritize and highlight the interrelationships among the key factors of the smart health-care supply chain (HCSC) by implementing the concept of Industry 4.0.

The key factors of implementing Industry 4.0 in HCSC have been identified through extensive literature review and stakeholders' opinions. To achieve the abovementioned objectives, the present study proposed hybrid multi-criteria decision-making (MCDM) tools, namely, the fuzzy-analytic hierarchy process (AHP) and fuzzy- decision-making trial and evaluation laboratory (DEMATEL). The Fuzzy-AHP prioritized the factors of implementing Industry 4.0 in HCSC, while the cause–effect relationships among the factors have been explored using fuzzy-DEMATEL.

The results of the study indicated that HC logistics management (HCLM) is the most prioritized factor of implementing Industry 4.0 in HCSC, followed by the integrated HCSC, then sustainable HCSC practices, HCSC innovation and technological aspects, HCSC institutional perspectives, HCSC competitiveness, social aspects and economic factors of HCSC. The cause–effect analysis has highlighted integrated HCSC, HCLM, HCSC competitiveness and social aspects as the cause group factors and they are the critical success parameters for implementing Industry 4.0 in the HCSC.

The results of the study can be useful for policymakers, humanitarian organizations, health administrators and other decision makers considering the smartening of HCSC to enhance the operational performance of health facilities.

This is one of the few studies to have been conducted so far in which the subfactors of HCSC implementing Industry 4.0 have been identified and analyzed using the fuzzy-AHP and fuzzy-DEMATEL hybrid approach.

The purpose of this paper is to study the effect of corporate social responsibility (CSR) effectiveness on job seekers’ organizational attractiveness (JSA). Deriving inspiration from Carroll’s theory, the study specifically tries to measure the impact of CSR on JSA with the four dimensions pertaining to economics (PECO), pertaining to legal compliance (PLCO), pertaining to ethics (PETH) and pertaining to philanthropic (PPH). Furthermore, the paper also tries to examine the moderating role of company selection (COM SEL) done based on high or low CSR reputation and JSA.

Management and engineering students enrolled in premier institutions and universities of Western Odisha in India are surveyed for their perceptions of CSR and JSA. Purposive and convenience sampling are applied to collect data from 456 job seekers. Based on the analysis, the study proposes two main models (Models 1 and 2) wherein Model 1 tries to measure the effect of CSR on JSA and Model 2 checks the moderating effect of COM SEL on CSR and JSA. In addition, robustness of the study is tested using control variables (Models 3 and 4). Data is treated through SmartPLS 3.3 software. The structural equation modelling (partial least squares-SEM) method is applied to test the hypotheses and for further analysis.

The result reveals an interesting insight. There is a positive and significant effect of PECO, PLCO and PPH on JSA. Moreover, no such significant effect is observed between PETH and JSA. Further, the findings are contrary with respect to COM SEL, that partially moderates the effect of CSR on JSA. However, the results reveal that COM SEL has a substantial moderating effect on the PPH dimension of CSR and JSA.

The results highlight that CSR positively and significantly affects JSA in terms of PECO, PLCO and PPH, thereby emphasizing that organizations must be more focused on these perspectives of CSR. Further, though the results did not exhibit any significance with PETH, it is essential that organizations should strengthen the ethical aspects of CSR as well and align them with the CSR strategic actions. The study also confirms the moderating effect of COM SEL on PPH dimension of CSR and JSA, thereby supporting the philanthropic approach in this domain. Further, the organizations should foresee the philanthropic factor of CSR as a competitive advantage to attract potential job seekers.

This research attempts to contribute to CSR and HR literature in two ways. First, it is the first attempt to use PLS-SEM with an attempt to understand job seekers’ perception of CSR and JSA with Indian data consisting of students belonging to premier business management and engineering institutes. Second, the study is an attempt to empirically measure the moderating effect of COM SEL on JSA. To sum up, the study will provide insights to organizations to help craft CSR strategies for attracting more job seekers.