The Institute has a unique distinction of publishing a bi-annual International journal DIAS Technology Review – The International Journal for Business and IT. The Editorial Board comprises of eminent persons from all over the globe. It is a refereed journal containing well-researched articles in diverse fields written by eminent academicians & professionals across the globe. The journal is listed in the Cabell’s Directory, USA, Social Science Research Network (SSRN) & Ulrich’s Periodical Directory.
A Study on the Impact of Microfinance Program on Rural Poor in India and Haryana
The Abstract is of the Thesis "A Study on the Impact of Microfinance Programme on Rural Poor in Delhi and Haryana" submitted by Dr. Aarti Haswani for the award of Ph.D. degree from GGSIPU University, Delhi, India. The Supervisors were Prof. Sanjiv Mittal, Professor USMS, Delhi and Dr. Deepti Prakash, Associate Professor USMS, Delhi, India . The University awarded the Doctorate to the research scholar in the year 2023.
Copyright (c) 2023 DIAS Technology Review https://creativecommons.org/licenses/by-nc-nd/4.0
Portfolio Optimization, Risk Management and Professional Bias: An Empirical Analysisof The Indian Stock Market
Background of the Research With the changing aspirations of the middle income group, there is a quiet revolution taking place in savings and investment patterns among Indian investors. The slow and steady flow of funds from the traditional investment avenues, such as fixed deposits, real estate, gold and precious metals to other classes of assets, such as mutual funds, stocks and bonds is becoming a reality. Physical assets such as land and gold, which used to be the dominant assets in an Indian family's portfolio, have seen a downtrend from 16.3 of the savings percent in FY 2012 to 10.6 percent in FY 2018. The household savings as a ratio of GDP has fallen from 34.6 percent in FY 2012 to 30.5 percent in FY 2018 (Mohanty, 2019). Yet, the investments in the mutual funds under the systematic investment schemes continue to grow from Rs. 67,190 in FY 2017-2018 to Rs. 1,00,084 in FY 2019-2020.The investors are willing to make investments rather than saving any amount above their consumption level. Thus, a holistic approach is needed to study possible factors which affect the expected returns from the investments, in terms of the movement of stock market returns, macroeconomic factors, optimal risk measures and the behavioural biases of the investment advisors suggesting such investments. In this context, the study seeks to examine the following objectives in the context of the Indian financial market.
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Impact of Competency Development and Talent Management Practices On Employee Engagement in Indian Hotel Industry
The Abstract of the Thesis“Impact Of Competency Development And Talent Management, Practices.Qn Employee Engagement In Indian Hotel Industry” submitted by Dr. Nitya Khurana for the award of Ph.D. degree from GGSIP university, Delhi, India. The supervisor was Dr. Shilpa Jain, Assistant Professor, University School of Management Studies, Guru Gobind Singh Indraprastha University, Delhi, India. The University awarded the Doctorate to the research scholar in 2022.
Managing Supply Chain: of Complexity, Risk and Issues and Challenges Flexibility
Supply chain is a network of organizations. It is a complex system. According to Simon (1962), complexity makes any system, including supply chain, unpredictable, thus resulting in its task of day-to-day management that much difficult. In a complex system, a minor incident in one area has a potential to bring disaster in another. This article elaborates on several types of unpredictability in supply chain systems and also discusses their relationships with various levels of complexities involved in it. Minimizing the negative effects of complexity is very important. This article also discusses the role of modularity and flexibility, and the risk in managing supply chain complexity. In addition, Bozarth et al. (2009) measured organizations' performances using factors like low-cost delivery, schedule attainment, customer satisfaction, and competitive performance. The authors concluded that an increase in complexity negatively affects organizations' ability to achieve their goals. Also, according to Quinn and Rohrbaugh (1983), an organization must balance between many of its contradictory values to function effectively. For example, an organization must find a balance between the needs for stability and flexibility and between the needs for variety and control. An organization's management of supply chain adds to the complexity it faces. Hence, organizations find balancing between such competing values (e.g., stability and flexibility) very challenging, especially in the face of the COVID-19 pandemic.
Development of Students’ Academic and Employability Model through Data Mining
The Abstract is of the Thesis “Development of Students' Academic and Employability Model through Data Mining” submitted by Dr-Tripti Mishra for the award of Ph.D. degree from Mewar University, Chittorgarh. The Supervisors were: Dr. C.D. Kumawat, Professor, Department of Computer Science, Mewar University, Chittorgarh and Dr. Sangeeta Gupta, Professor, Management Education and Research Institute, New Delhi. The University awarded the Doctorate to the research scholar in 2019.
Empirical Analysis of the Stock Markets of BRICS Economies
Developing an understanding of the relationship amongst the stock markets of the five emerging economies of the ever so growing financially integrated world has immense significance. BRICS the group of nations has the capacity to change the business environment of the world as they are highly financially integrated. The primary objective of this paper is to evaluate the integration among BRICS nations during the past 5 years (1st April 2014- Ist April 2019) by analyzing monthly price histories of BOVESPA Index, MOEX Russia Index, BSE Sensex, SSE Composite Index and JSE Index for Brazil, Russia, India, China and South Africa respectively. Descriptive statistics, correlation, ADF unit root test and Johansen Co-integration test have been applied on the data. Since BRICS appears to have a massive financial influence in this financially integrated world, the paper also establishes a good degree of relationship amongst the stock markets of these economies thereby implying the need for the foreign institutional investors to follow a diversified portfolio strategy and study the specific growth areas in these economies in order to take a good investment decision.
Copyright (c) 2020 DIAS Technology Review https://creativecommons.org/licenses/by-nc-nd/4.0
Understanding Impulsive and Compulsive Buying Behavior of Online Consumers
Abstract: In today's time, the usage of internet and smart phones has been rapidly growing resulting in to quick sharing of information and enabling consumers to access and share information on the go. Consumers are preferring to use online mode over the traditional method of buying goods and services. The buying patterns of the online consumers in the Fastmoving Consumer Goods sector is generally governed by personal, psychological and social factors. It can have both the traits of compulsive and impulsive buying. The aim of this paper is to identify the factors formulating compulsive and impulsive buying behavior of online buyers and to identify relationship between compulsive and impulsive buying. For this purpose, data from 516 consumers who prefer to purchase online was collected. The tools used include Exploratory Factor Analysis, Confirmatory Factor Analysis and Structured Equation Modeling. Analysis of data reveals that deal is a confounding variable for both impulsive and compulsive buying behavior. Further there exists a positive impact of impulsive buying behavior on compulsive buying behavior.
Copyright (c) 2019 DIAS Technology Review https://creativecommons.org/licenses/by-nc-nd/4.0
The Integration of Indian and Us Stock Market Returns Before, During and After the Financial Crisis
There are significant risk reduction benefits that are available if investors create portfolios that include both US and Indian Stocks. However, during financial crisis the correlation between Indian and US stock indices is high implying that risk reduction benefits vanished when there was market turmoil. In other words, due to contagion effect levels of risk, all markets displayed steep declines with elevated
The Key Characteristics of Necessity: Comparison Between Concept PaperStudents and Employees Data
Three different types of employees can be found in workplaces all over the world: “Necessities,” “Commoners,” and “Parasites.” A person is a Necessity if he/she is irreplaceable and crucial to the functioning of an organization. A Commoner is a person of normal ability and talent who has no significant impact on organizational success. Parasites are detrimental freeloaders who damage the functioning of an organization.To identify the principal characteristics of these three types of workers,a group of researchers led by Chong W.Kim conducted six studies in which they collected survey data from undergraduate and graduate business students in the U.S.,India, Korea,Chile, and Japan. The summary of six published studies is reported in Kim, Smith, Sikula and Anderson (2011). The purpose of this article is to compare the results of these studies with newly collected data from working employees in order to identify the key trait differences of Necessity between students and working people's perception.The authors note the points of commonality and difference between these data sets and offer their thoughts on future research in this area.
Copyright (c) 2017 DIAS Technology Review https://creativecommons.org/licenses/by-nc-nd/4.0
An Analytical Study of Competitiveness Of Refractory Industry in India
Steel and Cement sectors contribute maximum for the growth of any country’s economy. These sectors assume special significance in the Indian economy which is poised for significant growth. Refractories are one of the most important constituent in production of steel and cement.
Copyright (c) 2022 DIAS Technology Review https://creativecommons.org/licenses/by-nc-nd/4.0
Students' and Teachers’ Perception Towards Online Education: A Confirmatory Study
Transitioning from in-person classroom and campus experiences to virtual ones was a necessity during COVID-19 Pandemic to ensure the continuity in the education of students. The need of the hour is to rethink the traditional model of learning and the shift towards blended learning. Prior studies on online learning during the epidemic mostly aimed to comprehend either students’ or teachers' experiences. We, therefore, aim to bridge the gap by comprehending teachers' and students’ perspectives pertaining to online education. This research will provide valuable information to educational institutions and management for making e-education a part of the “new normal” by identifying and understanding first-hand experiences of teachers and students. Two separate structured questionnaires consisting of 27 and 38 study questions were circulated to both the groups. A sample of 360 and 127 was accumulated from both the populations respectively. There after, exploratory, and confirmatory factor analysis have been used to identify the perceptions of both teachers and students. Students’ Efficacy (SE), Student Readiness (SR) and Students’ Learning Ability (SLA) were identified for students’ perception. A positive and significant impact of Students Efficacy (SE) & Student Readiness (SR) was identified on student's learning ability. Student Engagement (SE), Teachers’ Training & Development (TAD), Teachers’ Efforts (TE) and Teachers Adaptability (TA) were discovered for understanding teachers’ perceptions. Second order two factor model revealed Teachers’ Involvement (Tl) and Teachers' Skill (TS) as distinct factors of teachers’ perception.
Solar Photovoltaic Technology: A Supplement to Sustainable Energy
The 'surging demand for energy' has become a new parameter to interpret the growth chart of economies these days. The world's electricity consumption has increased incessantly over the past half a century, due to rising household demand as well as substantial developmental activity in all the nations. Regular energy supply is the major propelling force for productivity and growth in primary sector, secondary sector & tertiary sector, leading to overall economic development. But excessive use of conventional resources for electricity generation has posed big challenge to the sustainability and environmental conservation. Governments of various nations today, are planning to tap renewable and eco-friendly resources for power generation like solar photovoltaic technology and are taking measures to create awareness amongst the organizations as well as domestic users. Present research paper juxtaposes the scope and acceptance of solar photovoltaic (PV) technology for energy generation in India. An empirical study has been made using TAM(Technology Acceptance Model) to assess the adaptability of solar photovoltaic (PV) technology by the user organizations. Through statistical rigor of regression and path analysis, the relationship between attitude towards use of solar photovoltaic (PV) technology and intention to use solar photovoltaic (PV) technology has been explored, in the light of government initiatives to popularize and commercialize it as additional sustainable energy.
Vserss' Attitude to Use Solar (PV) Technology
Emerging Market & Mobile Technology Usage: Evaluating intention to Use Mobile Banking in India
Mobile banking serves among the latest advancements in the financial sector with pragmatic value to both banks and clients. The swift progression of technology and gadgets has invigorated the financial industry towards urging clients to bank online. However, a report demonstrated that mobile banking acknowledgment was lower than internet banking and other mediums. Encouraging customers to utilize mobile phones for banking issues and negative patterns in acknowledging this innovation make it imperious to investigate the determinants that impact users’ intention towards mobile banking adoption. This investigation was completed in India's northern region and using the purposive sampling method, 584 respondents were focused on, which resulted in 403 functional responses. Using Structural Equation Modeling (SEM), the responses were analyzed, and the outcome uncovered that seven dimensions impact users' expectation to recognize mobile banking while two determinants have a negative impact.
Scenario Analysis of Human - Machine Learning in Industry
Background: Industry 4.0 characterized by ‘smart factories’ gave rise to the absolute customized product which has become possible through the creation of new operating models where virtual and physical systems of manufacturing cooperate mutually. The breakthrough technologies such as quantum technology, nanotechnology, machine learning, and others are generated through connected machines and systems. The technological fusion and their integration across physical, digital, and biological domains demand basic to advance levels of human-machine cooperation and collaboration or human-machine learning. The research aims: In this paper, the author applies a scenario analysis process to understand how Industry 4.0 may impact the concepts of learning and propose best learning practices for the future. Methodology: The paper is based on the literature review of experts’ work on Industry 4.0 and Human-skilling. Through such literature review, critical factor elements characterizing Industry 4.0 and Human-skilling have been identified. Six steps scenario-analysis process has been adopted to suggest what would be the future of human skilling. It has also been attempted to explore the possibility of theory concerning the role of learning in Industry 4.0. Key Findings: It has been concluded that Leadership with high emotional intelligence and digital mindsets generating innovative ideas will be the future of human skilling in Industry 4.0 and beyond.
A Study of Engagement, Protean Career Orientation and Turnover Intentions of Faculty Teaching In Professional and Technical Institutions
The current wave of globalization has changed the way in which organizations tend to operate. There is a huge consensus that it has led to the development and an inter connected business place; but a huge pressure of performance and competition has also been imposed on these organizations (Green et al., 2017). They have to adapt to the organizational changes as well as changes pertaining to economical, technological and social aspects (Sisodia et al., 2007). The upcoming employee base has to bridge between these changes and requirements. Thus, organizations are in need of the employees who are willing to go beyond not only in terms of hard work but also ready to engage in approach which depicts learning, speed, resiliency and adapatability. A better engaged workforce can be achieved through the development of such an environment wherein positive emotions (involvement and pride) are promoted leading to better performances and well being of employees. Therefore, employees who have protean orientation will be able to survive better.
Gap Analysis on EDI Implementation in Cargo Sector and Cargo Clearance Procedures at Indian Airports: Issues and Challenges
Technology is productively being used globally to expand and upgrade trade transactions. As a result of technology modernization, significant strides have been made in air transport trade in India which is competing with the elite group in growth of international and domestic traffic. Air transport normally grows at a rate which is about twice the GDP growth rate. India aims to become the third-largest aviation market by 2020 and the largest by 2030. It is already a fastest developing domestic aviation market in the fourth year in a row with a growth rate of 18.6%. Air cargo is a significant sector in India, that is on a high-growth trajectory. This article presents gap analysis in EDI implementation at some important airports in India handling cargo operations. It has been observed during the study that gap between “cargo clearance vs facilitation steps taken” has reduced and there is scope for further improvements for hassle free cargo movement. RMS bills are mostly released by Customs using EDI. However, for exports, currently concerns are being faced like non- payment of customs duty through the banks in EDI system. The connections of EDI with systems of trade companions is in place but 100% communication exchange as envisioned is yet to be completed. At certain joint venture major airports, EDI implementation amongst Customs and Custodian is in position for Export(Import operations through Cargo Management System established by airport operators. This system is suitable for integration with carriers, exporters/importers, cargo forwarders and customs traders. However, EDI message exchange between entire regulatory authorities in the air cargo supply chain is not happening showing the way to old physical process at some points, thus delaying cargo clearances. Interface is essential at the software and hardware level so as to effortlessly incorporate with the present processes. EDI of different allied agencies are not completely inter-linked. Banking Gateways for online transfer/payment are not available 24*7 hours at all cargo airports. The paper also proves that improvement in EDI system reduces congestion at cargo terminals. The study establishes that reducing dwell time has improved through puts in the entire air cargo value chain. This paper focuses on obstacles in successful execution of EDI in Indian cargo sector and recommends some vital policy mediations.
The Financial Implications of Decisions Related to Choice of Contracting Techniques and the Influence on Contractor Performance
This study looks at the implications of outsourcing the public sector function of residential refuse collection. We hypothesize that the private sector can provide services in a more efficient manner than public sector agencies. This study is an extension of an earlier study on this topic using more recent data. Some results of this study are consistent with prior studies on this topical area, but some are unique to the current study. Generally speaking, a majority of jurisdictions reported satisfaction with the quality of work provided by private contractors.
Effect of Trump's Win on Specific Sector with Reference to Indian Stock Market
Donald Trump's Victory as the US President leads to significant influence on the Indo-US ties. As expected this event will have both short term and long-term implications on the Indian economy. This study is aimed at exploring the impact of Trump's win on Indian Stock market, especially Energy, IT, and Pharma sectors. The present study utilizes two-way approach for studying the actual impact of the event on Indian Economy. Event window methodology has been adopted to analyze the effect of Trump's win on Indian stock market for pre, during and post trump win periods surrounding 60 days around the event day. Generalized Auto regressive Conditional Heteroskedastic (GARCH) model is used for testing volatility among the specific selected sectors and the overall Indian stock market. Results clearly proved that there is a significant impact of Trump's win on Indian stock market and specific sectors.
Study of Employee Engagement in Manufacturing Sector in NCR in Selected Industries
Academicians have observed that employee engagement is an important determinant for long-term success of a business organization. Despite the significant academic interest in empowerment, organizational climate, self-efficacy and employee engagement, there is a relative shortage of academic literature examining the impacts of empowerment, organizational climate, and self-efficacy on employee engagement in the Indian context. In this context, current study strived to render deep insights into the relationships among these constructs in Indian context in Manufacturing Companies. The main objective of the research was to study empowerment, organizational climate and self-efficacy as predictors of employee engagement across Manufacturing Sector in an integrated model. Population for this study consisted of employees working in Manufacturing Sector in National Capital Region of India. The National Capital Region of India comprises of Delhi, Gurgaon, Noida, Greater Noida, and Ghaziabad. It was established through this descriptive research study that psychological empowerment derived through feeling of meaningfulness of work and feeling of creating impact on work lead to Employee Engagement. The other influential factor which leads to employee engagement is Leadership Empowerment of employees.
Inflated Self-assessments and Metacognitive Ability: A Demonstration of the Kruger- Dunning Effect among Knowledge Workers
Meta cognitive Ability impacts many determinants of individual performance including learning, motivation, critical thinking and decision making. Low Meta cognitive ability has been suggested as the cause of inaccurate self-assessment among poor performers. The study uncovers the links between Meta cognitive ability, self-assessment and overall work performance. This study provides evidence of presence of the Kruger — Dunning effect in the workplace performance of knowledge workers. It also lays the foundation for studying meta-cognitive ability as a predictor of performance in modern workplaces. The study further makes a case for range bound interpretation of scores on self-report instruments measuring meta-cognitive ability.
Exploring User Acceptance and Intention towards App based Cab Aggregators using Integrated TAM and TPB Model
Rapid internet penetration and increasing smartphone usage in India and the world has changed the consumer behaviour and has altered traditional business paradigms. Online services have replaced a number of traditional offline activities today. The acceptance of digital technology has by far changed the needs and expectations of consumers in today's competitive scenario. One of such major change is the birth of the sharing economy, which is defined as “an economic system in which assets or services are shared between private individuals, either free or for a fee, typically by means of the internet” (Oxford dictionaries, 2016). Application Based Cab Aggregators (ABCA) aggregates cabs for the ease of customers by providing cabs at their destination for rates set by the service. Some of the key players in this new emerging market in India are Uber India Technology Private Limited, ANI Technologies Private Limited, Meru Cab Company Put. Ltd., Carzon rent (India) Put. Ltd, Zoom car India Private Ltd, Saavari, Fast Track Call Cab Private Limited. Given the rising success of the sharing economy in the digital age, this research work studies the key factors which influences the passenger's acceptance and intention of using this new technology of ABCA services by developing an integrated model of Theory of Planned Behaviour and The Technology Acceptance Model. The outcomes of the study showed that the commuters have a positive attitude towards the ABCA services and the attitude towards ABCA should be a strong predictor for the intention to use the services. The results also indicated that perceived ease of use and perceived usefulness positively influence the attitude towards ABCA services. Perceived behavioural control was found to have a positive influence on the intention to use the services whereas subjective norm had no effect on the intention to use the services,
Hybrid Information Theoretic Measures and Their Applications inData Mining
Information theory, introduced by Shannon (1948), revolutionized the understanding of communication and uncertainty by providing a mathematical measure of information through entropy. Shannon entropy quantifies the average uncertainty associated with a random variable and has been widely applied in communication systems, statistics, pattern recognition, machine learning, and signal processing. Despite its success, Shannon’s framework relies on precise probability distributions, which are often unavailable or unreliable in practical situations.
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Sentiment-Driven Market Dynamics: Evidencefrom Google Trends and Indian Stock Indices
This study investigates the intersection of digital behavior and financial market activity by employing Google Trends data as a non-traditional, data driven indicator of investor sentiment in the Indian context. Recognizing that investor psychology often drives market prices beyond fundamental values, the research explores whether web search query data can effectively capture and reflect investor sentiment and its influence on Nifty 50 index returns. Using the Google Sentiment Index (GSI) as a proxy for investor mood, the study employs quantile regression and Vector Autoregression (VAR) models to analyze the dynamic relationship between sentiment and market performance across varying return distributions. The quantile regression results indicate that the relationship between GSI and Nifty returns is asymmetric and non-linear with a significant negative effect during bearish conditions and a positive effect during bullish phases. This pattern highlights that sentiment exerts stronger short-term influence in extreme market conditions. The VAR analysis indicates a bidirectional feedback relationship between sentiment and returns; however, the predictive power of returns on sentiment is more pronounced, suggesting that investor sentiment is largely reactive to past market performance rather than predictive of future movements. Variance decomposition further confirms that daily market fluctuations are primarily self-driven, with sentiment playing a minimal role in explaining short-term return variance. The findings underscore that while sentiment derived from online behavior offers valuable behavioral insights, it serves as a weak predictor of daily returns and is more useful for identifying broader market trends and risk dynamics. By integrating behavioral finance with big data analytics, this research demonstrates the potential of Google search activity as a real-time tool for monitoring investor psychology, enhancing risk management, and informing strategic investment decisions in the Indian financial markets.
Behavioral Finance, Google Trends, Google Sentiment Index (GSI), Indian Stock Market, Investor Sentiment, Quantile Regression, Vector Autoregression (VAR)
Development of an Early Warning System for Slope Instability in Opencast Coal Mines Using Geo-Spatial AI
Slope instability in open-cast coal mines remains a critical challenge affecting operational safety, economic efficiency, and environmental integrity. This study develops an enhanced Geo-Spatial Artificial Intelligence (GeoAI) framework integrating Deep Neural Networks (DNN) and CatBoost models to predict slope failure risks with higher precision. A comprehensive geospatial dataset comprising 300 samples from Indian mining regions was analyzed using parameters such as slope angle, curvature, rainfall intensity, flow accumulation, aspect, and distance to drainage. The DNN achieved 95.2% accuracy, 0.84 F1-score, and 0.96 ROC-AUC, performing competitively with the CatBoost model (96.0% accuracy, 0.83 F1-score, 0.97 ROC-AUC). To enhance real-time decision-making, a Landslide Risk Index (LRI) ranging from 0–100 was introduced, translating model probabilities into continuous risk levels categorized as low, moderate, high, and critical. This probabilistic framework enables dynamic early warning and risk prioritization in active mining zones. Feature analysis identified slope angle, rainfall intensity, and flow accumulation as the most influential factors. The study demonstrates that DNN-based GeoAI systems offer robust predictive capabilities, improved interpretability, and scalability over traditional ensemble models, contributing to safer and more intelligent slope monitoring and early warning mechanisms in geotechnical applications.
Slope Instability; Geospatial AI; CatBoost; Random Forest; Early Warning System; Opencast Mining; Machine Learning; ROC Curve; Feature Importance; Landslide Prediction
Charting Path: Sustainable Startups and TheirRole in Global Sustainability Transitions
This study investigates research trends on sustainable startups and their alignment with SDGs, emphasizing dominant themes, influential contributors, and knowledge gaps. A bibliometric analysis of 509 articles (2015–2025) from Scopus and Web of Science using RStudio Biblioshiny and advanced mapping techniques. Results reveal rapid growth, fragmented collaborations, European and Asian leadership, and thematic clusters on innovation, circular economy, digital transformation, and social inclusion. Innovative business models, cross-sector partnerships, and policy environments that encourage green innovation and market growth are some of the things that help sustainable startups succeed. But they still have to deal with big problems, like not being able to get enough funding, not knowing what the rules will be, and the high cost of sustainable technologies that make it hard to use them on a large scale and have a long-lasting effect. Offers one of the first integrated bibliometric mappings of sustainable startups and SDGs, consolidating fragmented scholarship and suggesting future research directions. Restricted to English-language articles indexed in Scopus and Web of Science, potentially excluding relevant regional or non-indexed contributions. Provides actionable insights for policymakers, investors, and entrepreneurs to strengthen collaboration, inclusivity, and digital transformation in sustainable startup ecosystems. Underscores sustainable startups as transformative agents tackling inequality, climate change, and digital exclusion while advancing systemic progress toward the SDGs.
Sustainable Startups; Sustainable Development Goals (SDGs); Agenda 2030; Research Trends
Defining the Factor Structure of Moonlighting: Implications for the Future Workplace
The practice of moonlighting, where employees hold multiple jobs, has gained traction in recent years across various industries. The practice has recently been highlighted by a prominent IT firm, indicating the necessity of studying this prominent phenomenon in this sector. The practice of long working hours (even remotely) with minimal pay is the reality of many freshers entering this buoyant sector. The “silent” prevalence of this practice is creating a psychological rift amongst employees and necessitates studying the underlying dimensions defining moonlighting. Therefore, to address this gap, this research explores the dimensions defining moonlighting among IT/ITES young professionals. The study was conducted on a sample of 309 working IT/ITES professionals at entry level in MNCs located in Delhi NCR region. Exploratory Factor Analysis using SPSS 29.0 was applied. Four factors viz. perceived role conflict, willful multitasking, growth outlook and risk-reward orientation are explaining 64.6% of variance. The implications of these findings are discussed in the context of organizational policies, employee commitment, and the broader labor market dynamics. Additionally, the study underscores the growing trend of moonlighting within organizations, with many employees perceiving it as a necessity for financial and professional security. This research provides a foundation for understanding how moonlighting can be defined so as to read the workforce dynamics carefully. These findings have implications for organizational policies, career development programs, and broader workforce trends in an evolving employment landscape.
Moonlighting Intentions, Dimensions of Moonlighting, Sustainable Workforce, Exploratory Factor Analysis, Principal Component Analysis
Assessing Motivation* Assistant Prof. Department of Management Studies, YMCA University of Science and Technology, Faridabad, India, Email: anushree27973@gmail.com ** Associate Prof., Department of Management Studies, YMCA University of Science and Technology, Faridabad, India, Email: singla_manisha@rediffmail.com *** Professor, Department of Management Studies, YMCA University of Science and Technology, Faridabad, India, Email: prof.rituarora@gmail.comAmong Academicians
Changing the work related needs, motives and values of one person in an organization is a daunting challenge. People work in organizations for a varied variety of reasons. Employees want money, safety, security and recognition for the jobs they are performing. Their requirements vary as per their life styles, background, education and type of organizations they are working with. What each unique person in an organization want from work plays an instrumental role in determining that person's motivation to work. Motivation is vital to all organizations and often the difference between highly effective and less effective ones lies in motivation of their members also it is an important determinant of performance. The motivation among academicians is far more important for development of younger generation. The present study aims to understand how faculty performance can be improved by focusing on what motivates a faculty at different hierarchical positions. This study attempts to evaluate, analyse and compare the faculty motivation with their respective designations on the basis of the factors ascertained after thorough literature review through structured questionnaire and sample size of 200 academicians working in various universities and affiliated colleges in Delhi and NCR. Delhi and NCR was identified to confine the study to a manageable boundary to ensure effectiveness, validity and reliability on a 5-point Likert scale. The results clearly showed that the motivational factors vary as per the respective designations of the faculty i.e. Professor, Associate Professor and Assistant Professor in spite of working in same institute or university. Results also depicts that it is the management's responsibility to understand the nature of individual motivation, especially as it applies to work situation of an institution.
Academician,Motivation,Commitment,Need for affiliation, Need for achievement
A STUDY ON THE IMPACTOF DECLARATION OFDIVIDEND IN AUTOMOBILE INDUSTRY
*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id="request-WEB:715c1004-142f-440c-9177-af4233580a0a-0" data-testid="conversation-turn-2" data-scroll-anchor="true" data-turn="assistant"> The automobile industry in India is expected to be the world's third largest by 2016, with the country currently the world's second largest two-wheeler manufacturer. Two-wheeler production is projected to rise from 16.9 million in FY14 to 28.8 million by FY21. Furthermore, passenger vehicle production is expected to increase to 10 million in FY21 from 3.1 million in FY14.
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COST ANALYSIS OF FACULTYATTRITION IN TECHNICALINSTITUTIONS:PROBLEMS AND REMEDIES
Education has been recognized as the most important source of competitive advantage for a nation. The purpose of higher education is to give the students with sufficient knowledge and skill so as to function as creative and productive member of the country. The prosperity or scarcity of a nation depends on the quality of higher education (Malcolm Gillis, 1999). The unparalleled expansion in science, technology and other knowledge oriented structures, the conservative composition and processes associated with higher education are undergoing major transformations. The pressure of industries and businesses to measure up to the international standards are highly demanding. The abilities to stand up to this competition would depend on the capabilities of the human resource. India boasts of one of the leading Higher Education (HE) systems in the world and technical education is an integral part of it. Technical education is being imparted at various levels such as degree, diploma, PG and research in specialized fields catering to various aspects in technological development and economic progress.
Does Inclusion in Best/Worst Lists Drive Revenues? Evidence from Corporate Performanceand Consumer Reaction
Annually companies are ranked on various characteristics such as innovation, “greeness”, admiration from trade and society at large. These lists are then published in an attempt to acknowledge the greats and inspire others to step as well. Upon receiving such honor, companies are likely to market and promote it on product packages, website, and other media. Presumably, these recognitions are beneficial (or harmful if a “Worst Of” list) to a company’s reputation and serve as an advertising platform for bragging rights. However, does recognition from these lists increase the company’s bottom line? Do consumers acknowledge these lists and make decisions that drive sales and raise stock prices? How do consumers perceive these lists as they make purchase decisions? This research addresses these questions through two studies. Results indicate it would be difficult to argue that Best/Worst lists directly influence sales, net income and stock prices. Further, the second study of consumer behavior shows that consumers are more concerned with their perceptions of companies’ products and services rather than their accolades and rankings
Best/Worst Lists, Measures of Financial Success, Consumer Decision Making
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