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The purpose of this study is to analyze the properties of Happiness at Workplace (HAW) scale and investigate the validity of the scale in the Indian context using a sample of EdTech employees (knowledge-intensive population). This is consistent with encouraging the happiness literature as well as facilitating positive approaches at the working place in developing economies.

Responses were collected via Questionnaire from the employees of EdTech Companies, and a total of 500 responses were investigated. The factor structures, reliability and validity of the HAW scale were tested with the help of SPSS and Smart PLS Software Version 4.0.8.7.

The findings of this study showed that all the criteria of reliability and validity for validation of HAW scale were met when used in Indian culture, and the higher-order construct of HAW scale was retained.

Because of the differences in work cultures and societal structures among nations, the validation of HAW scale in the Indian context is needed, as the majority of the studies in the field of happiness were conducted in Western countries. So this study contributes significantly by validating the HAW scale in India by using a sample of EdTech employees.

This paper aims to examine whether happiness at workplace (HAW) impacts organisational citizenship behaviour (OCB) and whether this impact can be further improved by promoting learning capabilities in organisations, thus investigating the mediating role of organisational learning capabilities (OLC).

This study was conducted on knowledge-intensive workers (employees of EdTech companies) in India. Responses were collected via questionnaire in online mode, and after discarding the incomplete responses, 500 replies were considered for data analysis with PLS-SEM technique.

The outcomes reveal that the HAW has a significant influence on OCB. The outcomes also reveal that this impact is further enhanced with the presence of OLC, thus confirming that OLC operates as a mediator in the link connecting HAW and OCB.

This study makes a distinctive contribution by bringing out the significance of workplace learning in the connection between the workplace happiness and citizenship behaviour of employees that will provide impetus to the practitioners to formulate strategies in such a manner that the employees voluntarily perform the actions beyond their designated roles.

Reports briefly on the Technical Sessions and other presentations of the 43rd All‐India Conference of the Indian Library Association, and mentions the recommendations made by delegates at the conclusion of the conference.

Accelerated life tests (ALTs) are used to make timely assessments of the lifetime distribution of highly reliable materials and components. Life test under accelerated environmental conditions may be fully accelerated or partially accelerated. In fully accelerated life testing, all the test units are run at accelerated condition, while in partially accelerated life testing, they are both run at normal and accelerated conditions. The products can fail due to one of the several possible causes of failure which need not be independent. The purpose of this paper is to design constant-stress PALT with dependent competing causes of failure using the tampered failure rate model.

Gumbel–Hougaard copula is used to model and measure the dependence between the life times of competing causes of failure. The use of the copula simplifies the model specification and gives a general class of distributions with the same dependent structure and arbitrary marginal distributions.

The optimal plan consists in finding optimum allocation of test units in different chambers by minimizing the reciprocal of the determinant of Fisher Information Matrix. The confidence interval for the estimated values of the design parameters has been obtained and sensitivity analysis carried out. The results of sensitivity analysis show that the plan is robust to small deviations from the true values of baseline parameters.

The model formulated can help reliability engineers obtain reliability estimates quickly of high reliability products that are likely to last for several years.

Most of the literature on the design of accelerated life test (ALT) plan focus on a single system (subsystem) totally disregarding its internal configuration. Many a times it is not possible to identify the components that cause the system failure or that the cause can only be identified by a subset of its components resulting in a masked observation. The purpose of this paper is to deal with the planning of ramp-stress accelerated life testing for a high-reliability parallel system comprising two dependent components using masked failure data. Such a testing may prove to be useful in a twin-engine aircraft. A ramp-stress results when stress applied on the system increases linearly with time.

A parallel system with two dependent components is taken with dependency modeled by Gumbel-Hougaard copula. The stress-life relationship is modeled using inverse power law, and cumulative exposure model is assumed to model the effect of changing stress. The method of maximum likelihood is used for estimating design parameters. The optimal plan consists in finding optimal stress rate using D-optimality criterion.

The optimal plan consists in finding optimal stress rate using D-optimality criterion by minimizing the reciprocal of the determinant of Fisher information matrix. The proposed plan has been explained using a numerical example and carrying out a sensitivity analysis.

The model formulated can help reliability engineers obtain reliability estimates quickly of high-reliability products that are likely to last for several years.

The role and performance of a teacher is central to the teaching and learning process in any educational system, but they are often misinterpreted in the context of educational monitoring and quality assurance. Although efforts to relate teacher quality to educational quality are rarely challenged, establishing linkages between teacher quality and student performance have proven to be complex and inconclusive. This holds true especially in the Indian context wherein teachers experience diverse working conditions that may make traditional measures of teacher quality seem impractical and speculative. Teacher roles and performance, apart from being subjected to contrasting realities in schooling systems, are influenced by cultural capital, systemic forces, and teacher education programs. This chapter attempts to unravel the complexities of an Indian school teacher and highlight some of the issues that teachers are likely to face and grapple within their work situations. Nevertheless, the role of a professional and humane teacher will stand paramount in building the future of India.

In the knowledge management (KM) literature, there are umpteen discussions on knowledge sharing; however, the scholarly community still faces a dearth of literature on knowledge hiding behavior (KHB) and its determinants. The current study aims to examine the direct effect of dark triad (DT) personality dimensions (machiavellianism, narcissism and psychopathy) on KHB dimensions (rationalized hiding, evasive hiding and playing dumb). Drawing on social control theory, this study also explores the moderating effect of workplace spirituality (WS) on the direct relationship between DT and KHB.

Using purposive sampling, 281 matched-pair datasets from faculty members working with higher education institutions (HEI) in India have been obtained. The direct relationship has been tested through regression analysis and moderation analysis has been performed using the PROCESS macro for SPSS.

The study has successfully mapped DT dimensions with KHB dimensions, and it is observed that machiavellians mostly use evasive hiding, narcissists believe in rationalized hiding and paying dumb is mostly used by psychopaths. Workplace spirituality (WS) weakens the direct relationship between DT and KHB.

HEIs are advised to foster a climate conducive to WS by getting faculty to realize that their job is something larger than themselves through developing a sense of community among faculty members.

This empirical study extends the KM literature and expands the scope of bridging the gaps on KHB. It is one of the few studies to examine the impact of DT on KHB with WS as a moderator in HEIs.

This study aims to recognize the current dynamics, prolific contributors and salient trends and propose future research directions in the area of alternative momentum investing.

The study uses a blend of electronic database and forward reference searching to ensure the incorporation of all the significant studies. With the help of the Scopus database, the present study retrieves 122 research papers published from 1999 to 2020.

The results reveal that alternative momentum investing is an emerging area in the field of momentum investing. However, this area has witnessed an exponential growth in last ten years. The study also finds that North American, West European and East Asian countries dominate in total research publications. Through network citation analysis, the study identifies five major clusters: industrial momentum, earnings momentum, 52-week high momentum, time-series momentum and risk-managed momentum.

The present review will serve as a guide for financial researchers who intend to work on alternative momentum approaches. The study proposes several unexplored research themes in alternative momentum investing on which future studies can focus.

The study embellishes the existing literature on momentum investing by contributing the first bibliometric review on alternative momentum approaches.

This paper aims to present an experimental investigation and optimization of a low-temperature thermoelectric module to examine the influence of the main operating conditions.

In this work, a comparison was made by varying the various operating parameters such as heat source temperature, the flow rate of the cold fluid and the external load resistance. A Taguchi method was applied to optimize the parameters of the system. Three factors, including the external load resistance, mass flow rate of water (at the heat sink side) and heater temperature (at the heat source side) along with different levels were taken into account. Analysis of variance was used to determine the significance and percentage contribution of each parameter.

The experimental results show that the maximum power output 8.22W and the maximum conversion efficiency 1.11 per cent were obtained at the heater temperature of 240°C, the cold fluid mass flow rate of 0.017 kg/s, module temperature difference of 45°C and the load resistance of 5 O. It was observed that the optimum parameter levels for maximum power output determined as 5 O external load resistance, 0.17 kg/s mass flow rate of water and 240°C heater temperature (A1B3C3). It reflects that these parameters influence on the optimum conditions. The heater temperature is the most significant parameter on the power output of the thermoelectric module.

It is clear from the confirmation test that experimental values and the predicted values are in good agreement.