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In today’s dynamic situation, innumerable challenges are posited in the education sector because of the COVID-19 pandemic. Higher educational institutes (HEIs) are compelled to adopt digital technologies and technology-mediated learning in the teaching-learning processes. The purpose of this paper is to understand the factors affecting learning effectiveness, learning satisfaction and the mediating role of prerecorded videos from the learners’ perspective.

A self-designed structured questionnaire based on previous similar studies is adopted as a survey instrument. It consists of 22 questions to address the five constructs of the proposed hypothesized conceptual model, developed for the study. Data of 311 students from HEIs of Maharashtra state in India were collected. Confirmatory factor analysis is carried out to test the model fitness, reliability and validity, and structural equation modeling is applied to conduct path analysis and hypotheses testing of the model.

Hypotheses testing reveals that perceived usefulness (PU) significantly affects the perceived learning effectiveness, which again affects the learning satisfaction of the students. In addition, perceived ease of use affects the PU as suggested in the technology acceptance model. The prerecorded videos have a moderating role to play in the computer self-efficacy and the perceived learning effectiveness of the students. This research will provide meaningful acumen to enhance the overall learning process among students in urban as well as rural India.

This study explores the technology-mediated learning during the unexpected and dynamic situations of the COVID-19 pandemic in the context of higher education in India. For sustainable use of technology-assisted learning, educators must understand the key factors that influence students’ learning effectiveness and satisfaction. The research outcomes will lead toward developing the human capacities, as the prerecorded videos at the HEIs of India will provide new approaches for effectively adopting digital technologies and technology-mediated learning.

This paper aims to study the interlink between work-life integration, job contentment and employee engagement. The notion of how far work-life balance (WLB) policies have a throwback on employee engagement has been presented with shreds of evidence of previous studies carried out in the timeline of 2005–2021 in India. The purpose is to bring forward comprehensive studies together, which are available on piecemeal form in the fragmentary form, to draw a firm conclusion about work-life integration policies and their parallelism with job engagement and organizational effectiveness. Furthermore, this study intends to develop a theoretical framework using Dubin’s methodology on organizational effectiveness in relation to work-life integration, job contentment and employee engagement.

This study is based on systematic literature review of papers reviewed from across databases of Scopus, Emerald, EBSCO and Google Scholar. The keywords used for the search were WLB, work-life integration, job satisfaction, job contentment and organizational effectiveness and also a combination of these words was used to pull down the relevant papers. A systematic literature review was undertaken on the topics of work-life integration, employee engagement and organizational effectiveness. These articles were then read and scanned with the overview on abstract and further these articles were selected on the basis of relevance to the current study. Those articles which showed interconnectedness between the identified variables of organizational effectiveness in relation to work-life integration, job contentment and employee engagement as antecedents were reviewed and a theoretical framework model is put forth using first part of Dubin’s methodology (1978) for theory building. The posited Model named A4 on organizational effectiveness using deductive approach is built on constructs, interaction, logic and propositions (Whetten, 1989).The theory will be functional in nature. With the given wealth of evidence, the injecting effect of work-life integration on employee engagement and pouring impact on organizational effectiveness becomes more transparent and clear. The authors have proposed a model for better organizational effectiveness through work-life integration policies.

One of the essential ingredients for better employee engagement is work-life integration policies, and organizational effectiveness becomes the by-product of the same. Innovative and friendly WLB policies assist employees to be more productive, dedicated and committed, resulting in better employee engagement which in the long run benefits the company in terms of effectiveness. WLB policies help to flatter down the burgeoning impact of complex work life on employee productivity and engagement. This paper concludes on the healing effects of WLB policies on employee engagement and organizational effectiveness and also proposes a model at the end. The posited model presents the antecedents for achieving organizational effectiveness.

Because the study is conceptual in nature with the proposed model, more empirical-based studies by experts with relevant stakeholders will add more rationalization to the current study.

Organizational effectiveness is the key to survival in today’s complex and competitive world. The authors investigated how organizational effectiveness can be achieved with WLB policies, which can have a linear impact on employee engagement, and ultimately organizations can bear the flowerings of positive output. This linkage and coupling between WLB policies, job contentment, employee engagement and organizational effectiveness deserve attention which the authors have attempted to explore. The outcome and results of the study will contribute to the existing literature in a more meaningful manner and will assist human resource development and policymakers to achieve organizational goals with driving employees. Managers will gain insight into the identified theoretical framework model for its implementation in organization. Future researchers with empirical studies can test the proposed theory to determine its success at organizational level.

While rapid increase in demand for foods but limited availability of croplands has forced to adopt input-intensive farming practices to increase yield, there are serious long-term ecological implications including degradation of biodiversity. It is increasingly recognised that ensuring agricultural sustainability under the changing climatic conditions requires a change in the production system along with necessary policies and institutional arrangements. In this context, this chapter examines if climate-smart agriculture (CSA) can facilitate adaptation and mitigation practices by improving resource utilisation efficiency in India. Such an attempt has special significance as the existing studies have very limited discussions on three main aspects, viz., resource productivity, adaptation practices and mitigation strategies in a comprehensive manner. Based on insights from the existing studies, this chapter points out that CSA can potentially make significant contribution to enhancing resource productivity, adaptation practices, mitigation strategies and food security, especially among the land-constrained farmers who are highly prone to environmental shocks. In this connection, staggered trench irrigation structure has facilitated rainwater harvesting, local irrigation and livelihood generation in West Bengal. However, it is necessary to revisit the existing approaches to promotion of CSA and dissemination of information on the design of local adaptation strategies. This chapter also proposes a change in the food system from climate-sensitive to CSA through integration of technologies, institutions and policies.

Introduction: Traditional recruitment system relied heavily on the applicants’ curriculum vitae (CV). This system, besides becoming redundant, has proved to be a futile exercise leading to the hiring of candidates that eventually turn out to be ‘misfits’. CVs were the only source of candidates’ data available for the recruiters a few years back. Face-to-face interviews was considered to be the ultimate solution for hiring suitable candidates. However, evidence suggests that interview scores and job performances do not complement each other. Advancement in artificial intelligence (AI) has introduced several techniques in the recruitment process.

Purpose: This chapter underscores the drawbacks of the traditional recruitment process. Evidence suggests that the traditional recruitment process is prone to subjectivity and is time-consuming. Surprisingly, despite the disadvantages, the integration of AI into the recruitment process is still slow. This chapter highlights the need to harness AI and the advantage technology could bring to the recruitment process. Some of the techniques that are garnering attention and widely used by organisations, such as chatbots, gamification, virtual employment interviews, and resume screening are described to enable the readers to understand with less effort. Chatbots and gamification techniques are described through process flow charts. We also describe the various types of interviews that could be conducted through virtual platforms and the modality by which the resume screening technique operates. Today, we are at a juncture wherein it is pertinent to acknowledge the superiority of technology-driven processes over traditional ones. This chapter will help the readers to understand the modus operandi to implement chatbots, gamification, virtual interviews and online resume screening techniques besides their advantages.

Scope: Although chatbots, resume screening, virtual interviews, and gamification are used in other areas, too, such as training and development, marketing, etc., in this chapter, we restrict solely to employee recruitment processes.

Methodology: Scoping review is used to examine the existing literature from various databases such as Google Scholar, IEEE, Proquest, Emerald, Elsevier, and JSTOR databases are used for extracting relevant articles.

Findings: Automation and analytics in recruitment and selection remove bias which is otherwise increasingly found in manual hiring processes. Also, previous studies have observed that candidates engage in impression management tactics in traditional face-to-face interviews. However, through automated recruitment processes, the influence of these tactics can be eliminated. AI-based virtual interviews reduce human bias. It also helps recruiters to hire talents across the globe. Gamification improves the candidate’s perception of the work and work environments. Through gamified techniques, the recruiters can understand whether a candidate possesses the required job skills. Chatbots are an interactive technique that can respond to interviewees’ queries. Resume screening techniques can save the recruiter’s time by screening and selecting the most appropriate candidates from a large pool. Hence, the chosen candidates alone can be referred to the next stage of the recruitment cycle. AI improves the efficiency of the recruitment process. It reduces mundane tasks. It saves time for the human resources (HR) team.

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.

Soybean is potentially a rich source of protein and lipids along with isoflavone. However, the use of soybean is limited due to presence of anti-nutritional factors such as trypsin inhibitor, phytic acid, etc. The present study aimed at evaluation of Harit soya seeds of different treatments such as soaking, dehulling, germination, soaking+roasting and roasting in order to enhance its quality.

Harit soya seeds were utilized were soaked overnight and subjected for dehulling, germination for 3 days as well as roasting followed by drying to obtain fine powder for quality evaluation.

Dehulling and germination produce significant (p < 0.01) increase in protein, crude fiber, total chlorophyll, ascorbic acid, total phenolics, flavonoids and isoflavones while fat was decreased non-significantly. The highest value of 12.4 mg/100g, 5.3 mgGAE/g and 6.6 mg/g for ascorbic acid, total phenolics and isoflavones was found in germinated seeds. Also, the effect of soaking, roasting and their combination lead to significant decrease in the functional properties of the seeds. Anti-nutritional factors were significantly (p < 0.01) reduced in all forms of treated seeds while pepsin and trysin digestibility was enhanced during soaking, dehulling and germination with maximum value of 72.6 and 25.8%, respectively in germinated seeds.

Improvement in quality of evergreen variety of soybean using cost effective traditional methods

This study aims to analyze the impact of fractional derivatives on heat transfer and entropy generation during transient free convection inside various complex porous enclosures, such as triangle, L-shape and square-containing wavy surfaces. These porous enclosures are saturated with Cu-water nanofluid and subjected to the influence of a uniform magnetic field.

In the present study, Darcy’s model is used for the momentum transport equation in the porous matrix. Additionally, the Caputo time fractional derivative is introduced in the energy equation to assess the heat transfer phenomenon. Furthermore, the total entropy generation has been computed by combining the entropy generation due to fluid friction (S_ff), heat transfer (S_ht) and magnetic field (S_mf). The complete mathematical model is further simulated using the penalty finite element method, and the Caputo time derivative term is approximated using the L1 scheme. The study is conducted for various ranges of the Rayleigh number (102≤Ra≤104), Hartmann number (0≤Ha≤20) and fractional order parameter (0<α<1) with respect to time.

It has been observed that the fractional order parameter α governs the characteristics of entropy generation and heat transfer within the selected range of parameters. The Bejan number associated with heat transfer (Be_ht), fluid friction (Be_ff) and magnetic field (Be_mf) further demonstrate the dominance of flow irreversibilities. It becomes evident that the initial evolution state of streamlines, isotherms and local entropy varies according to the choice of α. Additionally, increasing Ra values from 10² to 10⁴ shows that the heat transfer rate increases by 123.8% for a square wavy enclosure, 7.4% for a triangle enclosure and 69.6% for an L-shape enclosure. Moreover, an increase in the value of Ha leads to a reduction in heat transfer rates and entropy generation. In this case, Bemf→1 shows the dominance of the magnetic field irreversibility in the total entropy generation.

Recently, fractional-order models have been widely used to express numerous physical phenomena, such as anomalous diffusion and dispersion in complex viscoelastic porous media. These models offer a more accurate representation of physical reality that classical models fail to capture; this is why they find a broad range of applications in science and engineering.

The fractional derivative model is used to illustrate the flow pattern, heat transfer and entropy-generating characteristics under the influence of a magnetic field. Furthermore, to the best of the author’s knowledge, a fractional-derivative-based mathematical model for the entropy generation phenomenon in complex porous enclosures has not been previously developed or studied.

This paper aims to examine and compare extant literature on the application of multi-criteria decision-making (MCDM) techniques in humanitarian operations (HOs) and humanitarian supply chains (HSCs). It identifies the status of existing research in the field and suggests a roadmap for academicians to undertake further research in HOs and HSCs using MCDM techniques.

The paper systematically reviews the research on MCDM applications in HO and HSC domains from 2011 to 2022, as the field gained traction post-2004 Indian Ocean Tsunami phenomena. In the first step, an exhaustive search for journal articles is conducted using 48 keyword searches. To ensure quality, only those articles published in journals featuring in the first quartile of the Scimago Journal Ranking were selected. A total of 103 peer-reviewed articles were selected for the review and then segregated into different categories for analysis.

The paper highlights insufficient high-quality research in HOs that utilizes MCDM methods. It proposes a roadmap for scholars to enhance the research outcomes by advocating adopting mixed methods. The analysis of various studies revealed a notable absence of contextual reference. A contextual mind map specific to HOs has been developed to assist future research endeavors. This resource can guide researchers in determining the appropriate contextual framework for their studies.

This paper will help practitioners understand the research carried out in the field. The aspiring researchers will identify the gap in the extant research and work on future research directions.

To the best of the authors’ knowledge, this is the first literature review on applying MCDM in HOs and HSCs. It summarises the current status and proposes future research directions.

In addition to agriculture, energy production, and industries, potable water plays a significant role in many fields, further increasing the demand for potable water. Purification and desalination play a major role in meeting the need for clean drinking water. Clean water is necessary in different areas, such as agriculture, industry, food industries, energy generation and in everyday chores.

The authors have used the different search engines like Google Scholar, Web of Science, Scopus and PubMed to find the relevant articles and prepared this mini review.

The various stages of water purification include coagulation and flocculation, coagulation, sedimentation and disinfection, which have been discussed in this mini review. Using nanotechnology in wastewater purification plants can minimize the cost of wastewater treatment plants by combining several conventional procedures into a single package.

In society, we need to avail clean water to meet our everyday, industrial and agricultural needs. Purification of grey water can meet the clean water scarcity and make the environment sustainable.

This mini review will encourage the researchers to find out ways in water remediation to meet the need of pure water in our planet and maintain sustainability.