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The purpose of this paper is to gain insight into learners’ behavioural intention to use the video lectures as their learning material. The behavioural intention construct is measured in terms of perceived ease of use and perceived usefulness of video lectures. It is hoped that the findings of this study will provide feedback as to learners’ intention to use as well as guidelines on how to improve the development of video lectures as the university gears to offer more courses in the fully online mode in the near future.

A total sample of 392 questionnaires were collected for this study using technology acceptance model model. Descriptive and inferential statistics are used as the main analytical tool to study the learners’ behavioural intention to use the video lectures as their learning material. The behavioural intention construct is measured in terms of two dimensions: perceived ease of use and perceived usefulness of video lectures.

In conclusion, the findings from this research study seem to suggest that OUM learners have a positive perception of video lectures with reference to the two dimensions of “ease of use” and “usefulness”, where ease of use is concerned, OUM learners rate content relevancy, appropriate language and viewing flexibility as the strongest points of video lectures. The aspects ranked lowest are technical (ability to play the video lecture smoothly from the beginning to the end) as well as objective of usage (video lectures are not rated high as revision material for exam preparation).

Future studies can be conducted pertaining to issues on the context in which learning is taking place within higher education, various definitions of video, and ways of categorising and presenting these different types, teaching “with” and “through” video from the perspective of the lecturer and the educational institution, approaches to didactically embedding and integrating video into a course that results in effective learning and the process and support needed by the (traditional) lecturer to create and deploy various types of video content.

Over the last ten years, the production of video has gone from a complicated and technical process to one easily done by the general masses. It is now possible for anyone with a mobile phone to make a video recording. The question lies on whether the students have deeper meaning of learning via video lectures and the perception of students on using video lecture as teaching tool in the open and distance learning.

This study aims to develop a trust mechanism in a Vehicular ad hoc Network (VANET) based on an optimized deep learning for selfish node detection.

The authors built a deep learning-based optimized trust mechanism that removes malicious content generated by selfish VANET nodes. This deep learning-based optimized trust framework is the combination of the Deep Belief Network-based Red Fox Optimization algorithm. A novel deep learning-based optimized model is developed to identify the type of vehicle in the non-line of sight (nLoS) condition. This authentication scheme satisfies both the security and privacy goals of the VANET environment. The message authenticity and integrity are verified using the vehicle location to determine the trust level. The location is verified via distance and time. It identifies whether the sender is in its actual location based on the time and distance.

A deep learning-based optimized Trust model is used to detect the obstacles that are present in both the line of sight and nLoS conditions to reduce the accident rate. While compared to the previous methods, the experimental results outperform better prediction results in terms of accuracy, precision, recall, computational cost and communication overhead.

The experiments are conducted using the Network Simulator Version 2 simulator and evaluated using different performance metrics including computational cost, accuracy, precision, recall and communication overhead with simple attack and opinion tampering attack. However, the proposed method provided better prediction results in terms of computational cost, accuracy, precision, recall, and communication overhead than other existing methods, such as K-nearest neighbor and Artificial Neural Network. Hence, the proposed method highly against the simple attack and opinion tampering attacks.

This paper proposed a deep learning-based optimized Trust framework for trust prediction in VANET. A deep learning-based optimized Trust model is used to evaluate both event message senders and event message integrity and accuracy.

Manufacturing industries are facing dynamic challenges in today’s highly competitive world. In the recent past, integrating Industry 4.0 with the lean six sigma improvement methodologies has emerged as a popular approach for organizational excellence. The research aims to explore and analyze critical success factors of lean six sigma integrated Industry 4.0 (LSSI).

This research study explores and analyzes the critical success factors (CSFs) of LSSI. A three-phase study framework is employed. At first, the CSFs are identified through an extensive literature review and validated through experts’ feedback. Then, in the second phase, the initial list of CSFs is finalized using the fuzzy DELPHI technique. In the third phase, the cause-effect relationship among CFSs is established using the fuzzy DEMATEL technique.

A dyadic relationship among cause-and-effect category CSFs is established. Under the cause category, top management commitment toward integrating LSSI, systematic methodology for LSSI and organizational culture for adopting changes while adopting LSSI are found to be topmost CSFs. Also, under the effect category, organizational readiness toward LSSI and adaptability and agility are found to be the uppermost CSFs.

The study offers a framework to understand the significant CSFs for LSSI implementation. Insights from the study will help industry managers and practitioners to implement LSSI and achieve organizational excellence.

To the best of the authors’ knowledge, CSFs of LSSI are not much explored in the past by researchers. Findings will be of great value for professionals in developing long-term operations strategies.

The purpose of this paper is to investigate the distinction and relationships between the significant strategic capabilities for managing risks in supply chains. This intersectional review exposes a substantial conceptual contradiction between the perspectives reported by various researchers. Further, the current paper classifies the literature into four categories according to the broad objectives investigated by the research papers.

Initially, a bibliometric analysis aligned with the concepts of a systematic literature review is conducted followed by a descriptive review focusing on models and methods. The software called BibExcel is utilized to extract and analyze the bibliographic information in a textual form from the research articles associated with strategic capabilities of the logistics sector. The results are exported to the software known as Gephi to visualize keyword co-occurrence analysis as networks. A well-structured descriptive review is also conducted to identify avenues for future research.

Despite conventional supply chain capabilities like efficiency and effectiveness, eight significant strategic capabilities of supply chains for managing risks are identified from the literature. These capabilities with positive connotations include flexibility, reliability, resilience, robustness, agility, adaptability, alignment and responsiveness. Considering the vast literature on flexibility/reliability along with its numerous dimensions and scope, the authors found that resilience, robustness, agility, adaptability, alignment and effectiveness are achievable through flexibility/reliability. Accordingly, it is appropriate to state reliability and flexibility as supply chain capabilities to achieve the other six supply chain competencies. Furthermore, the entire literature in this domain can be classified into four genres according to the addressed objectives, namely, concept development/validation, capability assessment, network design and performance evaluation.

The information revealed from the keyword co-occurrence analysis along with the research implications provided in the penultimate section will assist budding researchers in framing novel and promising research objectives. Supply chain administrators and policymakers can utilize the literature classification and the notable references provided in this review for locating potential methods for assessing supply chain strategic capabilities, designing the supply chain and evaluating the performance of the supply chain.

An integrated bibliometric and descriptive literature review procedure is utilized in this paper. Furthermore, this critical review is the first work on comprehensively mapping the research relationships among various strategic capabilities required for mitigating supply chain risks.

This paper aims to establish a relationship between supply chain integration (SCI) and supply chain flexibility (SCF) to develop a two-dimensional approach, i.e. integrated flexibility.

Building on a relational view and dynamic capability theory, this paper argues that integrated flexibility is the strategy that enables organisations to achieve different positions and states to create distinctive capability. The article has proposed the conceptual framework that connects different supply chain strategies and practices to improve supply chain performance (SCP) considering the cross-disciplinary approach.

The conceptual framework around the new perspective, i.e. integrated flexibility, is built to deal with issues related to operations management. The paper suggests examining the mediating effect of SCF between SCI and SCP and the moderating role of knowledge management (KM), data analytics (DA) and quality management (QM) practices on their relationship. Moreover, research direction in terms of propositions and implications are developed to showcase how underlying practices streamline the supply chain and lead to superior SCP.

The proposed framework discusses the degree of integration and flexibility levels to guide practitioners in designing a supply chain strategy with their partners and answering how much resources need to be extended to achieve flexible operations and realise SCP.

Authors have developed an entirely new integrated flexibility concept that provides a base to sustain in the competitive market. The foundation of integrated flexibility is built on relational view and dynamic capability theory and supported by DA, QM and KM.

To share with readers the scope and content of presentations made at the CALIBER 2005 meeting.

Descriptive case studies and innovation were presented in the context of how progress in these areas has been made in both developing and developed parts of the world.

Information technology infrastructure allows for all these themes to be developed. An increased awareness of how workflow leads to new product development and new libraries services evolve is described in this conference report. The digital arena is explored from many vantage points including digital resources, consortia development, eLearning and eScholarship, and the changing role of the internet.

A scientific approach is tested in most of the research projects described with great dependence on a range of information technology tools that promote networking and digital library development.

International development takes place in a period of great collaboration and that spirit is widely pronounced at this conference and in the presentations made there. Practical Implications: Many different projects were shared ranging in scale from modest to highly sophisticated, involving one institution or a consortia. E‐Learning and distance education were environments that had high impact at this conference.

The purpose of this study is to examine the relationships between value orientation, i.e. terminal and instrumental values, consumer sustainability consciousness and behavioral intentions toward environmental-friendly products and its influence on the sustainable development goals (SDGs) endorsement.

Structured questionnaires were administered on 410 respondents from northwestern India. The two-step approach proposed by Anderson and Gerbing (1988) was employed to assess the measurement and structural models.

Terminal and instrumental values influenced consumer sustainability consciousness. Sustainability consciousness influenced behavioral intentions which endorsed consumers' SDG. Instrumental value had a greater impact on consumer sustainability consciousness and behavioral intentions than terminal value. Consumer sustainability consciousness partially mediated the relationship between terminal/instrumental value and behavioral intentions for SDG endorsement.

The findings will help marketers to endorse SDG promotion by linking them with values and develop an understanding of consumers' sustainability consciousness for SDG implementation.

Green marketers, policymakers and SDG promoters should develop messages to communicate and emphasize the importance of purchasing environmental-friendly products. From a functional perspective, it affects instrumentality orientation and societal responsibility toward the implementation of SDG.

The current study proposed an action-oriented, integrated, aspirational and universally applicable SDG framework. The findings may pioneer the way forward for sustainability-oriented consumption.

This research is the first of its kind that examined the relationships between value orientations (Rokeach, 1973) and their effect on consumer sustainability consciousness and behavioral intentions in SDG milieu.

The study aims to identify and analyse the drivers of resilient healthcare supply chain (HCSC) preparedness in emergency health outbreaks to prevent disruption in healthcare services delivery in the context of India.

The present study has opted for the grey clustering method to identify and analyse the drivers of resilient HCSC preparedness during health outbreaks into high, moderate and low important grey classes based on Grey-Delphi, analytic hierarchy process (AHP) and Shannon's information entropy (IE) theory.

The drivers of the resilient HCSC are scrutinised using the Grey-Delphi technique. By implementing AHP and Shannon's IE theory and depending upon structure, process and outcome measures of HCSC, eleven drivers of a resilient HCSC preparedness are clustered as highly important, three drivers into moderately important, and two drivers into a low important group.

The analysis and insights developed in the present study would help to plan and execute a viable, resilient emergency HCSC preparedness during the emergence of any health outbreak along with the stakeholders' coordination. The results of the study offer information, rationality, constructiveness, and universality that enable the wider application of AHP-IE/Grey clustering analysis to HCSC resilience in the wake of pandemics.

Over the years, India has witnessed irregular FDI inflows. Therefore, this study aims to explore the asymmetric impact of per capita income, final consumption expenditure, globalization index and exchange rate on FDI inflows in India.

Using the nonlinear autoregressive distributed lag bounds framework and unknown structural break, the study investigates the impacts of selected macroeconomic variables in driving FDI inflows in India during the study period (1979-2016).

The outcomes of the study confirm the asymmetric relationship between FDI inflows and its determinants during the study period. The results have confirmed that the improvement in per capita income, private consumption expenditure, globalization index and currency value appreciation play a crucial role in increasing FDI inflows in India. In contrast, the downside movements in the volume of consumption expenditure, globalization index and depreciation of the currency value in relation to the trade partners result in reducing the volume of FDI inflows in the long run.

For determining FDI inflows, previous studies have considered the overall impact of its potential determinants, which may provide partial information about the phenomenon. The adopted nonlinear approach highlights that both the types of fluctuations (i.e. upside and downside) in the independent variables may affect FDI inflows differently and substantially. The nonlinear association between FDI and selected determinants may be vital in formulating a long-term policy.

The authors intend to assess the village health sanitation and nutrition committees (VHSNC) on six parameters, including their formation, composition, meeting frequencies, activities, supervisory mechanisms and funds receipt and expenditures across nine districts of the three states of India.

The cross-sectional study, conducted in the states of Uttar Pradesh (five districts), Odisha (two districts) and Rajasthan (two districts), used a quantitative research design. The community health workers of 140 VHSNCs were interviewed using a semi-structured questionnaire. The details about the funds' receipt and expenditures were verified from the VHSNC records (cashbook). Additionally, the authors asked about the role of health workers in the VHSNC meetings, and the issues and challenges faced.

The average number of members in VHSNCs varied from 10 in Odisha to 15 in Rajasthan. Activities were regularly organized in Rajasthan and Odisha (one per month) compared to Uttar Pradesh (one every alternate month). Most commonly, health promotion activities, cleanliness drives, community monitoring and facilitation of service providers were done by VHSNCs. Funds were received regularly in Odisha compared to Rajasthan and Uttar Pradesh. Funds were received late and less compared to the demands or needs of VHSNCs.

This comprehensive analysis of VHSNCs' functioning in the selected study areas sheds light on the gaps in many components, including the untimely and inadequate receipt of funds, poor documentation of expenditures and involvement of VHSNC heads and inadequate supportive supervision.

VHSNCs assessment has been done for improving community health governance.