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Information technology (IT) systems are already ubiquitous, and their future growth is expected to drive the global economy for the next several decades. However, energy consumption by these systems is growing rapidly, and their sustained growth requires curbing the energy consumption, and the associated heat removal requirements. Currently, 20-50 percent of the incoming electrical power is used to meet the cooling demands of IT facilities. Careful co-optimization of electrical power and thermal management is essential for reducing energy consumption requirements of IT equipment. Such modeling based co-optimization is complicated by the presence of several decades of spatial and temporal scales. The purpose of this paper is to review recent approaches for handling these challenges.

In this paper, the authors illustrate the challenges and possible modeling approaches by considering three examples. The multi-scale modeling of chip level transient heating using a combination of Progressive Zoom-in, and proper orthogonal decomposition (POD) is an effective approach for chip level electrical/thermal co-design for mitigation of reliability concerns, such as Joule heating driven electromigration. In the second example, the authors will illustrate the optimal microfluidic thermal management of hot spots, and large background heat fluxes associated with future high-performance microprocessors. In the third example, data center facility level energy usage reduction through a transient measurements based POD modeling framework will be illustrated.

Through modeling based electrical/thermal co-design, dramatic savings in energy usage for cooling are possible.

The multi-scale nature of the thermal modeling of IT systems is an important challenge. This paper reviews some of the approaches employed to meet this challenge.

The development of innovation capability (IC) is a central issue for both practitioners and academicians. However, studies that investigate the dimension of IC in the context of micro-enterprises are absent. Based on capability-based view, the purpose of this paper is to identify important dimensions to build a scale to measure IC in micro-enterprises.

The study is based on focus group discussions for item generation and questionnaire survey on a sample of 379 micro-enterprises in India. The scale is developed with the help of exploratory factor analysis and confirmatory factor analysis. Statistical tests demonstrate that the scale presents composite reliability as well as discriminant and convergent validity.

The findings show that four dimensions form IC in micro-enterprises: resources, networking, risk taking and involvement.

This study develops a new scale, which is a measure of IC of micro-enterprises. The implications have been recommended, which focus upon entrepreneurs, academicians and policymakers interested in developing the IC of micro-enterprises in India.

In the era of Industry 4.0, knowledge component plays a vital role in manufacturing. For tacking the new complexities of the business, a concept of knowledge supply chain (KSC) is being proposed, which takes into account of knowledge component. Higher education institutes (HEIs) which are primary creator of knowledge are important foundations of such supply chain and act as the “knowledge supplier.” The purpose of this paper is to focus on why the HEIs are failed to become knowledge supplier in developing country like India.

This research paper adopts a resource-based theory to explore the concept and identify barriers which obstructs the progress of HEIs to become prominent knowledge supplier to industry. To tackle the research problem, an integrated hybrid approach of interpretive structural modeling–analytic hierarchy process is used. Expert elicitation was engaged to find out the prominence of each barrier and the interrelations among them.

Based on literature review, eight critical barriers were recognized. The findings put forward a four layer structural model. Based on this model, various remedial actions are also suggested to eliminate the barriers or lessen their negative effects on KSC.

This study finds its practical implication in higher education reforms as the identified barriers could enhance the decision-making quality regarding academia–industry interaction.

Using the results of the study, HEIs could improve their social sustainability as they have different stakeholders covering wider sections of society and one being industry.

Most of the existing studies talk about short-term interactions like technology transfer. This study takes into account the barriers which are acting as roadblocks in long-term knowledge supplying role of HEIs.

It is worth mentioning that mergers and acquisitions (M&As) have become a popular vehicle for emerging‐markets firms to rapidly access new opportunities and market capabilities. Indeed, privatization and multi‐nationalization have given a greater shore up in raising global and domestic merger deals. Motivated by these factors, the purpose of this paper is to investigate “do mergers produce abnormal returns around the announcement; conversely, do they improve financial performance in the long‐run?”

The study applies earnings management approach (event study) to compute average abnormal returns (AAR) around the merger announcement for select Indian M&A cases. Further, accounting ratios are considered to assess the long‐run financial performance. Thereafter, t‐stat is applied for testing the proposed hypotheses. In particular, it has performed a later test to the means of financial ratios and variables for both services and manufacturing sectors in accounting ratios and cylinder models, respectively.

The select Indian M&A cases show superior performance during the post‐merger period for both manufacturing and services sectors, and observe a balance sheet improvement in the long‐run.

Sample is one of the limitations to the study. Due to small sample of merger cases, this paper has limited scope to generalize the results. Hence, academic researchers may employ the suggested assessment (cylinder)‐models on a large sample.

The research work would help financial analysts, stockbrokers, M&A advisory and regulatory bodies while designing takeover and open offer policies.

This is an original contribution, which has developed new assessment (cylinder)‐models to examine the post‐merger long‐run financial performance of acquiring firms, especially sector‐wise evaluation.

The Internet is used as a tool to seek health information by individuals. Mental health concerns are the high prevalence of the novel coronavirus disease 2019 (COVID-19) and preventive steps are required to curb the illness. Therefore, to gain more insight into health concerns, it is now a common practice to seek health information on the Internet. This study propose an integrated theoretical model to explore the relationship between COVID-19 protocols and perceived online trust with online health information seeking intention (OHISI) and a moderating effect of perceived severity and perceived urgency.

Data are collected from 325 athletes in the category of individual and team sports through an online survey in a Likert-scale questionnaire. The analysis is performed with a quantitative methodology.

The study reveals the bright side of online health information (OHI), which brings athletes together and has played out with virtual happy hours, meetings and events. The bright side of OHI reflects social, cultural, technological and economic benefits. An OHI chatbot offers bright personalised side information to the individual seeker, which is more convenient and efficient than human capabilities.

The pivotal contribution is the integrated theoretical framework that is derived from multidisciplinary literature to capture the complexity of OHI. Also, it conceptualises the constructs in the context of OHI and COVID-19.

The new ways to complete financial transactions have been developed by setting up mobile payment (m-payment) platforms and such platforms to access banking in the financial mainstream can transact as never before. But, does m-payment have veiled consequences? To seek an answer, the research was undertaken to explore the dark sides of m-payment for consumers by extending the theory of innovation resistance (IR) and by measuring non-adoption intention (NAI).

Three hundred individuals using popular online m-payment apps such as Paytm, PhonePe, Amazon Pay and Google Pay were surveyed for the primary data. IBM AMOS based structural equation modelling (SEM) was used to analyse the data.

Each m-payment transaction leaves a digital record, making some vulnerable consumers concerned about privacy threats. Lack of global standards prevents consumers from participating in the m-payment system properly until common interfaces are established based on up-to-date standards. Self-compassion (SC) characteristics such as anxiety, efficacy, fatigue, wait-and-see tendencies and the excessive choice of technology effect contribute to the non-adoption of m-payment.

This study proposes a threat model and empirically explores the dark sides of m-payment. In addition, it also unveils the moderator's role of SC in building the structural relationship between IR and NAI.

At present, the contribution of higher educational institutes (HEIs) to economic development and society at large is under constant evaluation. One important parameter that is counted in their performance is generating intellectual capital. To maximize intellectual property (IP) (specifically patents which are considered to have maximum economic value) pool, the purpose of this paper is to conceptualize IP creation capability (IPCC) relevant to higher education. Furthermore, a scale is developed and validated to measure IPCC in Indian HEIs.

Both quantitative and qualitative methods were adopted for multi-dimensional scale development. The use of pragmatic approach also complemented exploratory design of the study for exploring relationship and developing a new instrument. The study further maps the connection between constructs of IPCC by proposing a structural model using the partial least squares path modeling method.

A significant positive relationship was seen among policy, incentives, research facility, working culture and IPCC subjected to Indian conditions. The findings based on data analysis suggest that incentive has a mediating effect between policy and IPCC.

Findings of the study could be used for formulating strategies to improve the current state of IP creation in HEIs. The results of the study could also be applied for a better understanding of the IP creation scenario in HEIs of India and similar developing countries.

This study presents the first endeavor to develop a well-structured scale for measuring IPCC especially in the context of the Indian higher education system. It contributes to research on higher education studies, innovation and IP creation.

This study aims to propose iStage, i.e. an intelligent hybrid deep learning (DL)-based framework to determine the stage of the disaster to make the right decisions at the right time.

iStage acquires data from the Twitter platform and identifies the social media message as pre, during, post-disaster or irrelevant. To demonstrate the effectiveness of iStage, it is applied on cyclonic and COVID-19 disasters. The considered disaster data sets are cyclone Fani, cyclone Titli, cyclone Amphan, cyclone Nisarga and COVID-19.

The experimental results demonstrate that the iStage outperforms Long Short-Term Memory Network and Convolutional Neural Network models. The proposed approach returns the best possible solution among existing research studies considering different evaluation metrics – accuracy, precision, recall, f-score, the area under receiver operating characteristic curve and the area under precision-recall curve.

iStage is built using the hybrid architecture of DL models. It is effective in decision-making. The research study helps coordinate disaster activities in a more targeted and timely manner.

The financial crisis of 2008-2009 was truly global in nature that affected all sectors and countries of the world. Being considered that a board of directors is the main governance mechanism through which a company is governed and managed. The purpose of this paper is to examine the effect of the governance structure of a company on its financial performance during the period of financial crisis.

The study investigates the effect of board structure parameters – board leadership, directors and board size on the financial performance for 164 non-financial listed firms in India during the period of financial crisis of 2008-2009.

The study finds a significant positive effect with Chief Executive Officer duality, executive chairperson and proportion of inside directors on the firm’s financial performance. Independent directors have no significant influence, while non-executive (grey) director’s being affiliated with the firm has a negative influence on firm’s financial performance. A larger board has a negative relationship with the firm’s financial performance.

The study is limited to large non-financial firms of the Bombay Stock Exchange-200 index. The study may be extended to include other firms to generalize the findings.

Results imply that during the period of financial distress, a company having more inside (or management) directors with an executive chairperson are in a better position to manage company resources with positive impact on financial performance. Companies with larger boards may find it difficult to take quick decisions, which ultimately affect their performance.

The study is original in its idea of assessing company strategy to adopt a suitable governance structure that can sustain its performance during the period of financial crisis.

The purpose of this paper is to investigate the literature and statistical data on the Indian takeover code cum open offers market and break up the historical changes in takeover code into various phases for better understanding and decision making by mergers and acquisitions advisory, legal advisory, merchant bankers, investment bankers, business houses and academia.

The present study describes literature summary on takeover code and evaluates the growth phase of open offers through trend analysis with respect to amendments in Indian takeover code.

Since 14 years of takeover code presence in India, it evidences that there is an empirical support on growth phase in the open offers market.

The study is developed on the basis of Indian takeover regulations and Securities and Exchange Board of India takeover code to wake up the public shareholding and regulatory bodies, by better conveyance of historical review at one place.

This study is the first of its kind, dividing the complete history of Indian takeover code into various phases for review and identifying the gaps for future research. Further, the paper investigates and finds various untouched facts and variables in both literature and statistical data on open offers.