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Emerging event-driven applications such as the internet-of-things requires an ultra-low power operation to prolong battery life. Shutting down non-functional block during standby mode is an efficient way to save power. However, it results in a loss of system state, and a considerable amount of energy is required to restore the system state. Conventional state retentive flip-flops have an “Always ON” circuitry, which results in large leakage power consumption, especially during long standby periods. Therefore, this paper aims to explore the emerging non-volatile memory element spin transfer torque-magnetic tunnel junction (STT-MTJ) as one the prospective candidate to obtain a low-power solution to state retention.

The conventional D flip-flop is modified by using STT-MTJ to incorporate non-volatility in slave latch. Two novel designs are proposed in this paper, which can store the data of a flip-flip into the MTJs before power off and restores after power on to resume the operation from pre-standby state.

A comparison of the proposed design with the conventional state retentive flip-flop shows 100 per cent reduction in leakage power during standby mode with 66-69 per cent active power and 55-64 per cent delay overhead. Also, a comparison with existing MTJ-based non-volatile flip-flop shows a reduction in energy consumption and area overhead. Furthermore, use of a fully depleted-silicon on insulator and fin field-effect transistor substituting a complementary metal oxide semiconductor results in 70-80 per cent reduction in the total power consumption.

Two novel state-retentive D flip-flops using STT-MTJ are proposed in this paper, which aims to obtain zero leakage power during standby mode.

The purpose of this paper is to assess the experiences of internationally recruited (IR) consultant psychiatrists focussing on the recruitment process and its adherence to the department of health (DH) guidance.

IR consultant psychiatrists (n=88) from different countries were mailed a 13‐item questionnaire assessing their experiences regarding various aspects of the recruitment process.

In total, 48 per cent IR psychiatrists responded; 97 per cent were from India. The recruitment process was generally satisfactory with perceived gaps in support from various stakeholders. Inconsistent experiences were reported regarding induction, mentorship, clinical responsibilities, and racial discrimination.

This is believed to be the first such questionnaire‐based study carried out on the IR consultant psychiatrists and discussing their experiences of the overall recruitment process.

The present study primarily aims to investigate the role of the high-performance work system (HPWS) in shaping learning orientation (LO). Moreover, the study delves into the examination of affective commitment's (AC) role as a mediator. Additionally, the research extends to exploring the potential moderating impact of workplace settings, specifically offline, online and hybrid workplaces, on the mediated relationship.

The model has been tested on 360 respondents from the IT sector in India. The data have been validated using confirmatory factor analysis and structural equation modeling.

The results indicate that AC mediates the relationship between HPWS and LO. Furthermore, this mediation was found to be positive and significant in hybrid and offline workplace settings, whereas it was found to be insignificant in the online workplace setting.

The self-report responses from the respondents could potentially introduce a limitation, as respondents might lead to inflated outcomes in the research findings. While Harmans’ single-factor test did not indicate any common method bias, it is important to acknowledge that this bias might not have been completely eliminated.

The present study has expanded upon the existing research on HPWS by examining its influence on LO, while also considering AC as a mediator. Furthermore, it is noteworthy that no prior studies have undertaken a comparative analysis of this relationship across various workplace settings.

This research focuses on suggesting an optimized model for selecting best employees using advanced multi-criteria decision making method to a supply chain firm, who is planning to start a new cold chain business vertical.

Study has been conducted in a supply chain firm in North India, who wants to expand its business with the help of efficient team members. In total 38 applicants were considered for the study, as selected by the firm after initial screening from pool of talent. AHP-LP and TOPSIS-LP integrated approach were applied separately for evaluation and implementation of personnel selection model. Further, both the approaches were compared to find the best fit and optimized model.

As per the findings, both AHP and TOPSIS can be used to select the best candidate among the alternatives available. TOPSIS was found easier to implement as it involves ranking of applicants with respect to each skills required for respective job profile only once, whereas AHP involves pair-wise comparison among candidates with respect to each skills required for respective job profile and normalization of each comparison, resulting in the formation of number of comparison matrices. However, AHP is more reliable as it considers consistency check for each level of pair-wise comparison. Hence, there is a chance to avoid or revise the human judgment error. Integrated ranking and optimization approach minimizes the cost by suggesting the relevant positions to be filed to make an efficient team.

Group of interviewers are involved in the decision-making process, hence there are chances of biasness in ranking method which can influence the group decision. Research is limited to a particular geography of North India therefore needs to be tested for other regions also in order to generalize. The research will help the third party logistics (3PL) and other related firms in efficient team selection.

The researcher focuses on formalizing a method for potential candidate selection by considering the constraints of the organization. It has been observed that limited researches have been done on the application of AHP-LP or TOPSIS-LP integrated approach for selection process. Hence, this research proposes two integrated ranking-optimization method and suggests the best fit by comparing both the approaches.

In the current business environment, more uncertain than ever before, understanding consumer behavior is an integral part of an organization's strategic planning and execution process. It is the key driver for becoming a market leader. Therefore, it is important that all processes in business are customer centric. Marketers need to harness big data by engaging in data driven-marketing (DDM) to help organizations choose the “right” customers, to “keep” and “grow” them and to sustain “growth” and “profitability”. This research examines DDM adoption practices and how companies can aim to enhance shareholder value by bringing about “customer centricity”.

An online survey conducted in 2016 received 180 responses from junior, middle and senior executives. Of the total responses, 26% were from senior management, 39% from middle management and the remaining 35% from junior management. Industries represented in the survey included retail, BFSI, healthcare and government, automobile, telecommunication, transport and logistics and IT. Other industries represented were aviation, marketing research and consulting, hospitality, advertising and media and human resource.

Success of DDM depends upon how well an organization embraces the practice. The first and foremost indicator of an organization's commitment is the extent of resources invested for DDM. Respondents were divided into four categories; Laggards, Dabblers, Contenders and Leaders based on their “current level of investments” and “willingness to enhance investments” soon.

With storming digital age and the development of analytics, the process of decision-making has gained significant importance. Judgment and intuition too are critical to the process. Choosing an appropriate action cannot be done strictly on a rational basis.

The results of the study offer interesting implications for managing the growing sea of data. An iterative and incremental approach is the need of the hour, even if it has to start with baby steps, to invest in and reap the fruits of DDM. The intention to use any system is always dependent on two primary belief factors: perceived usefulness and perceived ease of use; however, attitudes and social factors are equally important.

There is a dearth of knowledge with regards to who is and is not adopting DDM, and how best big data can be harnessed for enhancing effectiveness and efficiency of marketing budget. It is, therefore, imperative to build a knowledge base on DDM practices, challenges and opportunities. Better use of data can help companies enhance shareholder value by bringing about “customer centricity”.

This case describes the events following an incident of a rape in a taxi associated with Uber, by its driver. Uber was an application based taxi operator. The events raised several issues for government systems and processes, such as need for regulation of new formats of business like application based taxi services, integrated databases, checks against forgery and holistic approach towards women safety. The case also brings out how an e-commerce business raises regulatory concerns.

The digital platform (DP) develops through a network capability that combines technological infrastructure and resources to provide goods or services. This article investigates how institutions influence the development of the DP entrepreneurship ecosystem (EE) in a developing economy context.

An exploratory qualitative approach based on interviews with 33 DP business executives in Nigeria was the chosen research method. The interview method took the form of face-to-face, telephone and zoom video meetings, depending on the respective preferences of the participants. The research philosophy is based on interpretivism. Hence, the collected data were analyzed thematically and interpreted to make sense of the business executives' perspectives about the DP landscape as well as its institutional enablers and barriers.

The findings reveal institutional elements that are either too underdeveloped or weak to nurture an effective DP system resulting in high cost of doing business. A key cultural challenge is obtaining an honest workforce and managers. Also, there is lack of effective policies, weak regulation, multiple taxation and foreign competition, which affects local digital firms. Although cultural diversity has several merits, differences in cultural values and languages create marketing and promotion challenges. Moreover, the low level of digital literacy between Generation Z, Millennials and others, such as Baby Boomers and Generation X, poses a significant challenge concerning customer segmentation.

Research on digital technologies, the complexity of platform architectures and institutional logic has attracted interest in recent years. This article explored the institutional logic influencing the development of DP ecosystem (providing knowledge about EE in a developing world context). Despite the institutional challenges, there are multiple opportunities for Nigerian DP sector to flourish in the fast-growing economy.

The value of this article is related to how micro-, meso- and macro-institutional forces combine to support or become barriers to the development of the DP ecosystem, especially in developing economies where digitalization is creeping into every business sector and society.

Nanotechnology (NT) advancements in personal protective textiles (PPT) or personal protective equipment (PPE) have alleviated spread and transmission of this highly contagious viral disease, and enabled enhancement of PPE, thereby fortifying antiviral behavior.

Review of a series of state of the art research papers on the subject matter.

This paper expounds on novel nanotechnological advancements in polymeric textile composites, emerging applications and fight against COVID-19 pandemic.

As a panacea to “public droplet prevention,” textiles have proven to be potentially effective as environmental droplet barriers (EDBs).

PPT in form of healthcare materials including surgical face masks (SFMs), gloves, goggles, respirators, gowns, uniforms, scrub-suits and other apparels play critical role in hindering the spreading of COVID-19 and other “oral-respiratory droplet contamination” both within and outside hospitals.

When used as double-layers, textiles display effectiveness as SFMs or surgical-fabrics, which reduces droplet transmission to <10 cm, within circumference of ∼0.3%.

NT advancements in textiles through nanoparticles, and sensor integration within textile materials have enhanced versatile sensory capabilities, robotics, flame retardancy, self-cleaning, electrical conductivity, flexibility and comfort, thereby availing it for health, medical, sporting, advanced engineering, pharmaceuticals, aerospace, military, automobile, food and agricultural applications, and more. Therefore, this paper expounds on recently emerging trends in nanotechnological influence in textiles for engineering and fight against COVID-19 pandemic.