Search results

The study aims to understand the signaling effects of two major recruitment advertisement (ad) contents – job attributes and organizational attributes (OA) – on the perceptions and application intentions (AIs) of potential job seekers.

A fictitious faculty job ad based on existing real ads was created as a stimulus and the responses to the ad were collected from 270 job seekers of the academic domain in India. The partial least square-structural equation modeling was used to test the hypothetical relationships.

Drawing from the concept of signaling theory and instrumental-symbolic framework, the results revealed that job attributes and OA exhibit strong signals that generate the following perceptual outcomes in a job seeker – organizational attractiveness, attitude and person-organization fit. These perceptual outcomes mediated effectively to induce an AI in a job seeker. Signals from information on job attributes had a more significant effect on the job seeker than signals from information on OA.

The outcome of the study provides preparatory guidelines to academicians, institutional recruiters and recruitment agencies in posting an effective job ad.

From an Indian context, this is the first paper to present distinctive job advertising strategies to be implemented in the academic institutional recruitment communication.

The purpose of this paper is to explore and encapsulate the enablers that can facilitate education for sustainable development in higher education (HE). The study also aims to understand the interdependence between the enablers.

The study adopts the total interpretive structural modelling approach to comprehend the interaction and transitivity between the enablers. Cross-impact multiplication matrix analysis was applied to rank the enablers and classify them on the basis of the driving and dependence power into dependent, autonomous, independent and linkage enablers.

An extensive literature review and expert opinion helped in identifying 10 enablers that can promote sustainability in higher education. The structural model revealed government policies, media, accreditation/sustainability audit, sustainability leadership and institutional commitment as the crucial enablers that can drive sustainability and activate the enablers with high dependence and low driving power.

The results of this study will assist the policymakers and management of universities and colleges in understanding important factors that can facilitate sustainability in higher education. Universities and colleges to incorporate sustainability in their system need to transform not only the core higher education activities of learning and teaching, research and engagement, also the way the colleges operate its culture, governance, structure and how it supports the staff and students.

So far, research on sustainability in higher education has looked into each factor in isolation. This research provides a comprehensive view of the factors and has attempted to establish a multidirectional interplay between factors facilitating sustainability in higher education (SHE).

The purpose of this paper is to explore and encapsulate the enablers that can facilitate agility in faculty members of engineering institutions. The paper also aims to conduct a prelim qualitative validation of the enablers and analyze the interplay between them using the total interpretive structural modeling (TISM) approach.

The study adopted the TISM approach to comprehend the interactions and transitivity between the enablers. Cross-impact multiplication matrix (MICMAC) analysis was applied to rank the enablers and classify them on the basis of the driving and dependence power into dependent, autonomous, independent and linkage enablers.

Extensive literature review and expert opinion helped identify 16 enablers that can promote workforce agility. The results indicate “management support” as the most crucial enabler. Rewards and recognition and employee empowerment were among the other enablers that have a high driving force. New capabilities, learning and innovation and the expanding role of faculty members were found to have high dependence power, which makes the enablers dependent on other enablers for activation.

The results of this study would assist the management of engineering colleges and universities to design, adopt and implement policies and practices that would facilitate agility in faculty members. Faculty members shoulder the responsibility of molding the future generation, and hence, it is important that they are competent enough to impart quality education. The policymakers should focus on policies and practices that leverage human resource potential and support an innovative climate that nurtures entrepreneurial activities in engineering institutions.

So far research on workforce agility has predominantly focused on the manufacturing sector. Despite the workforce (refers to faculty members here) being crucial in contributing to the progress of universities and colleges, very little work is done on how faculty members can be made agile. Application of the TISM method in identifying the variables that can facilitate faculty members' agility in engineering institutions in India is a new and original contribution to the literature on workforce agility.

To explore building blocks of corporate value creation that can be effectively assembled by practicing managers to deconstruct corporate value creation into distinctive models (customer value creation and shareholder value creation) and stages (resource assembly and capability leverage) in the Indian Information Technology enabled Service (ITeS) industry for exploring efficiency differentials between large Indian ITeS companies.

Data envelopment analysis (DEA) technique has been used to uncover efficiency differentials in large Indian ITeS companies that represent 90% of all the ITeS companies listed in the Indian stock market and 13.9% of all companies listed in the Indian stock market, across industries.

This paper documents a nuanced understanding of interrelationships among activities that influence corporate value creation and comprehensively highlight those dominant activities that contribute to corporate value creation in an ITeS industry setting. The study demonstrates as to how companies can become more efficient in such crucial value creating components that result in superior corporate value. The explicating methodology proposed in this study can be handy for managers and can be extrapolated to other industry and national settings as well.

Deconstructing corporate value creation into granular models, customer value creation and shareholder value creation and further into two stages, being assembling resources to create capabilities and leveraging such capabilities to deliver value, this study provides hands-on value for managers in ITeS companies to create value.

Fusing the value creation and appropriation (VCA) framework, the resource-based view (RBV) and its extensions, this paper builds a robust theoretical model specification that is empirically tested.

This paper investigates the causality among gold prices, crude oil prices, bitcoin and stock prices by using daily data from January 2014 to December 2021. The study also examines the data during the COVID-19 outbreak from January 2020 to December 2021.

To estimate the long- and short-run causality, this study considers the nonlinear autoregressive distributed lag (NARDL) cointegration test.

The analysis found the existence of an asymmetric long-run cointegration among selected assets. Findings indicate that positive changes in bitcoin do not affect stock market in the long term. Changes in crude oil prices have a significant impact on stock prices. Moreover, it is observed that variations in the stock prices trigger a negative impact on gold prices. During the COVID-19 period, the study notices the presence of an asymmetric long-term cointegration between selected assets except bitcoin. Besides, findings revealed that negative price adjustments in gold lead to significant positive shocks in stock market.

These results provide critical information for policy performers and researchers to develop new strategies. Policy regulators can also consider the potential effects of the COVID-19 outbreak while developing strategies for investment decisions.

The Electric Vehicles Initiative (EVI) is a multi-government policy forum devoted to speed up the introduction and adoption of electric vehicles (EVs) worldwide. EVI key themes for sustainable development include energy-efficient transportation with e-mobility (drive-by science and technology), reduced greenhouse gas emissions, decreased oil dependence and improved local air quality. India's transport sector contributes around 142 million tons of CO₂ every year, with road transport contributing 123 million tons.

Review methodology forms a basis for knowledge development, creating guidelines for policy and practice. Quality assessment of review articles is by using mixed methods appraisal tool (MMAT).

The research trends on Sustainable Development Goal (SDG) technological and social aspects highlight the critical role of technology in economic and social development, emphasising infrastructure development and communication of government policy and rewards for awareness and end-user acceptance.

The scenario brings a school of thought if it is equally important to address a social perspective to improve India's perception and acceptance of technology-enabled EVs.

This research used a Phenomenography approach of Eye Tracking to study the Biometric changes when participants were subjected to eight static subliminal images hidden in seven differently designed packages. Embeds or static subliminal stimulus in the form of pictures and words were hidden in seven different perfume packages and were used to study the changes experienced between the two groups, one of which was subjected to subliminal stimulus. This study was conducted in the Neuro Lab located in the SP Jain Sydney campus. A total of 46 healthy participants were separated into two groups, with one group shown image packages with static subliminal stimulus while the other group was shown image packages without any subliminal stimulus. Eye Tracking data was collected using iMotions. A detailed analysis of the Area of Interest (AOI), Fixation and Heat Map revealed that only a percentage of the participants visited the AOI with the hidden subliminal stimulus, but the participants who noticed the AOIs with the subliminal stimulus especially the male participants spent more time in the AOI indicating that they could be consciously processing the subliminal static stimulus. A statistical analysis of the time to first fixations (TIFF) revealed that the subliminal stimulus was not the first point of attraction.

The purpose of this paper is to evaluate the interplay of various measures used by different governments around the world in combatting COVID-19.

The research uses the interpretative structural modelling (ISM) for assessing the powerful measures amongst the recognized ones, whereas to establish the cause-and-effect relations amongst the variables, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used. Both approaches utilized in the study aid in the comprehension of the relationship amongst the assessed measures.

According to the ISM model, international support measures have the most important role in reducing the risk of COVID-19. There has also been a suggestion of a relationship between economic and risk measures. Surprisingly, no linkage factor (unstable one) was reported in the research. The study indicates social welfare measures, R&D measures, centralized power and decentralized governance measures and universal healthcare measures as independent factors. The DEMATEL analysis reveals that the net causes are social welfare measures, centralized power and decentralized government, universal health coverage measure and R&D measures, while the net effects are economic measures, green recovery measures, risk measures and international support measures.

The study includes a list of numerous government measures deployed throughout the world to mitigate the risk of COVID-19, as well as the structural links amongst the identified government measures. The Matrice d'Impacts croises-multiplication applique and classment analysis can help the policymakers in understanding measures used in combatting COVID-19 based on their driving and dependence power. These insights may assist them in employing these measures for mitigating the risks associated with COVID-19 or any other similar pandemic situation in the future.

The purpose of the study is to evaluate the suitability of post-fire curing for normal and Recycled Aggregate Concretes (RAC) with and without fibres.

The study includes the testing of RAC specimens, i.e. 150 mm cubes and cylinders with 300 mm length and 150 mm diameter with hybrid fibres (0.15% polypropylene fibres + 0.35% steel fibres) along with fly ash. The specimens were exposed to elevated temperatures between 400 to 700°C with 100°C intervals for 2 h of duration and the post-fire exposed samples were further subjected to water curing for a period of 7 days. The compressive strength, split tensile strength and Rebound Hammer Number (RHN) were measured at room temperature, after exposure to elevated temperatures and post-fire curing.

The result shows that the compressive strength reduces by a maximum of 61.25% for 700°C and maximum retain in strength, i.e. 71.2% (in comparison to specimens kept at room temperature) is observed for 600°C post-fire cured specimens. The split tensile strength reduces by more than half for 500°C and above temperatures, whereas 400°C specimens exhibits a significant regain in strength after post-fire curing. To validate the results of compressive strength, the Rebound Hammer test has been conducted. The RHN value decreases by 41.3% for 700°C specimens and the effectiveness of post-fire curing is observed to be considerable up to 500°C.

The conclusions from the study can be used in assessing the extent of damage and to check the suitability of post-fire curing in further continuing the utilisation of a fire damaged structure.

Utilisation of secondary materials like recycled aggregates and fly ash can be made in the production of concrete.

Specimens with fibres performed better when compared to specimens without fibres and post-fire curing is found to be effective up to 500°C.

Pricing is always a fundamental marketing element. In the digital marketing/e-commerce context, there are two universal phenomena: desire to micro-segment and customize, and the adverse reaction upon unfair perception of price. A third related question is how should firms consider price increases and decreases? Specifically, this paper aims to address the following three research and practice questions: What are the theoretical underpinnings of perception of fairness/unfairness in pricing, and what are the findings? What are the theoretical underpinnings of response to price increases and decreases? What should be online pricing strategy, consistent with the findings on (un)fairness perception of pricing and response to price increases and decreases?

The present approach is integrative review and critical analyses, and synthesis. The review dates back to 1960s, and is inter-disciplinary, including apposite findings in behavioral science, economics, marketing and operations management/research. The authors search for insights with significant empirical support to address these questions.

Perception of unfair price impacts consumer choice, probability of purchase, intent to buy and attitude to product/service/firm adversely. Consumers react differently to perceived unfair and fair prices. Consumers react more strongly and negatively to perceived unfair prices (compared to prices perceived to be fair) in their intent to buy and other related metrics. Consumers react differently to price increases and price decreases relative to the reference price. Consumers react more strongly to price increases than to price decreases. There is substantial heterogeneity in the magnitude of loss-aversion effect, depending on the product/service category and estimation methods.

The authors review and discuss potential viable pricing strategies. Based on the generalizable findings, this study provides actionable insights to managers for pricing in digital marketing context. Also, the authors provide useful directions for future research.