Parvathy S. Nair, Atul Shiva, Nikhil Yadav and Priyanka Tandon
The purpose of this study is to investigate the influence of mobile applications on investment decisions by retail investors in stocks and mutual funds. This study focuses on how…
Abstract
Purpose
The purpose of this study is to investigate the influence of mobile applications on investment decisions by retail investors in stocks and mutual funds. This study focuses on how mobile technologies are applied on mobile apps by retail investors for e-trading in emerging financial markets.
Design/methodology/approach
The study explored predictive relevance for the adoption behavior of retail investors under the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Further, goal contagion theory was applied to investigate the adoption behavior of investors towards e-trading. An adapted questionnaire was used to collect the date from April to June 2021 and data analysis was performed on 507 usable responses. The methodology adopted in this study is variance based partial least square structural equational modelling (PLS-SEM). Additionally, the study explains important and performing constructs based on the response of retail investors towards mobile app usage for investment decisions.
Findings
The study shows that effort expectancy, performance expectancy followed by perceived return were the primary determinants of behavioral intentions to use mobile applications by retail investors for e-trading. Further, habit of investors determined the adoption behavior of investors towards mobile apps. Additionally, the study revealed that perceived risk is not an important aspect for retail investors in comparison to perceived return.
Research limitations/implications
The study in future can address to the aspect of personality traits of retail investors for technology adoption for investment decisions. Further investigation is required on addressing unobserved heterogeneity of retail investors towards technology adoption process in emerging financial markets.
Practical implications
The study provides theoretical and practical implications for retail investors, financial advisors and technology companies to understand the behavioral pattern and mobile apps adoption behavior of retail investors in emerging financial market. The findings in the study will help broking firms to sensitize their clients for effective use of their respective mobile apps for e-trading purposes. The study will strengthen the knowledge of financial advisors to understand investment behavior of retail investors in emerging financial markets.
Originality/value
This study unfolds a novel framework of research to understand the technology adoption pattern of retail investors for e-trading by mobile applications in emerging financial markets. The present study provides significant understanding in the domain of technology adoption by retail investors under behavioral finance environment.
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Nikhil Yadav, Priyanka Tandon, Ravindra Tripathi and Rajesh Kumar Shastri
The purpose of the study is to investigate the long-run and short-run dynamic relationship between crude oil prices and the movement of Sensex for the period of 2000–2018.
Abstract
Purpose
The purpose of the study is to investigate the long-run and short-run dynamic relationship between crude oil prices and the movement of Sensex for the period of 2000–2018.
Design/methodology/approach
The study uses the augmented Dickey–Fuller test for the presence of unit root, Johansen cointegration test for estimating the cointegration among the variables. Further, in the case of no cointegration found, the study employed the vector autoregression (VAR) model to estimate the long-run relationship and the Granger causality/Wald test for short-run relationship. The study also conducted tests for the prerequisites of the model: serial correlation, heteroskedasticity and normality of data.
Findings
The study found that both the variables, crude oil prices and Sensex are integrated of order 1, that is, I (1), and there is no cointegration between them. Further, the results proliferated from the VAR model unfold the marked effect of previous month crude oil prices (lag 1) on the movement of Indian stock market represented by Sensex considered as the benchmark index. Furthermore, VAR–Granger causality/block exogeneity Wald tests results indicated that there is a causal relationship between the crude oil prices and Sensex under the VAR environment. The model does not have any serial correlation and heteroskedasticity indicating toward the unbiased and robust estimates.
Research limitations/implications
The study is conducted till the year 2018, and data for the present period (post-2018) is excluded due to ongoing trade issues between the USA and oil-exporting countries such as Iran. The current COVID-19 outbreak has also put serious issues. Due to limited time and availability of standardized data, researchers have considered Sensex as equity index only, but for more generalized research outcome few other equity indexes could have been taken for study.
Originality/value
The study is completely original in nature and is an extensive study of the relationship between the crude oil price and Indian stock market with reference to causality between the variables.
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INDIA: US indictment adds to problems
Details
DOI: 10.1108/OXAN-ES290407
ISSN: 2633-304X
Keywords
Geographic
Topical
INDIA: Move helps keep Delhi-Washington ties strong
Details
DOI: 10.1108/OXAN-ES292276
ISSN: 2633-304X
Keywords
Geographic
Topical
The world is experiencing technological disruptions due to the dynamic business environment, technological advancements, customer preferences, increasing competitive pressure…
Abstract
The world is experiencing technological disruptions due to the dynamic business environment, technological advancements, customer preferences, increasing competitive pressure, globalization of supply chains, and environmental disruptions. Industry 4.0 technologies are paving the way for increased production efficiency and worker safety while optimizing resource utilization and improving sustainability. Industry 4.0 technologies find their applications in almost all sectors, but few studies explore industry 4.0 technologies in agriculture. The agri-food sector has experienced an upward trend in digitalization projects. The digital agri-food supply chains will help in the autonomous decision-making process, leading to enhanced visibility in the agri-food supply chains through real-time traceability solutions, thereby leading to improved food quality. It is anticipated that industry 4.0 technologies in the agri-food supply chains will impact climate change disruptions and improve the unequal distribution of resources in the agricultural sector. The present study highlights various industry 4.0 technologies and their applications in the agri-food supply chains. Based on the findings from a literature review, the study establishes 10 key performance indicators that will benefit decision-making in a digital, data-centered environment.
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This paper aims to develop a scale to measure climate strategy proactivity (CSP) displayed by corporate in developing countries to attain competitive advantage (CA) and sustain it…
Abstract
Purpose
This paper aims to develop a scale to measure climate strategy proactivity (CSP) displayed by corporate in developing countries to attain competitive advantage (CA) and sustain it through sources of sustained competitive advantage (SOSCA). It attempts to derive sound operational definitions of CSP, CA and SOSCA through horizontal analysis of previous studies and discussions with experts and practitioners to construct a measurement scale.
Design/methodology/approach
Research design includes broad stages, namely, item generation, scale development and assessment of psychometric properties of the scale starting with review of literature and discussions with experts and practitioners, which were followed by a pilot and full study carried out through a cross-sectional, self-administered online survey questionnaire and assessment using suitable tools and techniques.
Findings
Findings of the study comprise development of sound operational definitions and construction of a valid and reliable measurement scale of CSP displayed by corporate to attain CA with strong psychometric properties, which is expected to be useful in developing countries not only for researchers and academics but also for the practitioners and organizations.
Research limitations/implications
The information was self-reported by respondents through climate strategy proactivity questionnaire (CSPQ) and consequently can be at risk to have been influenced by bias. Nonetheless, this CSPQ scale devoid of conceptual problems can be used in developing countries in future empirical studies with the caution that its reliability and validity require further tests.
Practical implications
Using the CSPQ scale will help managers in developing countries in enhancing their awareness with the provision of these conceptually clear comprehensive operational definitions of CSP, CA and SOSCA with respect to the conceptual nature and the latent expressions, and draw an extensively enhanced scope of climate-conscious strategy to bring about CA.
Originality/value
With the data collected from a sample representing different stakeholders of Indian companies from across the country, CSPQ scale possesses significant robustness and implicative potential which can contribute to the evolution of the strategic management field by providing a valid and reliable measure of CSP in developing countries applicable under any major theoretical perspective in strategic management serving the needs of not only the empirical research but also of the management practices intended to attain CA.
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This study was conducted with the objective of conducting a primary validation of a newly developed climate strategy proactivity questionnaire (CSPQ) scale for evaluating the…
Abstract
Purpose
This study was conducted with the objective of conducting a primary validation of a newly developed climate strategy proactivity questionnaire (CSPQ) scale for evaluating the relationship of climate strategy proactivity displayed by Indian companies with competitive advantage which it intends to attain and sustain through sources of sustained competitive advantage.
Design/methodology/approach
Research design includes an exploratory factor analysis, conducted with a diverse sample of stakeholders of Indian companies, resulting into four internally consistent factors. This was followed by a confirmatory factor analysis with strong model fit estimates which confirmed the initial factor structure and resulted into a new final CSPQ scale. The scale without substituting any existing scale facilitated testing of all but criterion validity.
Findings
Findings mainly comprise the primary validation of the CSPQ scale as psychometrically strong confirming acceptability of all major fit indices.
Research limitations/implications
CSPQ scale designed in the context of Indian companies is expected to make corporations and managers more aware in developing countries to help them draw an extensively enhanced scope of proactive climate strategy while making efforts to attain and sustain competitive advantage. However, the self-reported information collected through a common survey questionnaire might be affected by self-bias. Further, cross-sectional data to validate a new non-substituting scale prevented the researcher from conducting criterion validity test.
Originality/value
Basing the development and validation of the CSPQ scale on the data collected from diverse stakeholders of Indian companies in as diverse a country as India, the scale can demonstrate significant robustness and implicative potential. The scale, by virtue of possessing significant attributes, can add remarkable value to strategic management applicable under any major theoretical perspective. It can serve the requirements of the empirical research and competitive management practices simultaneously.
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Bilateral relations have been strained since September 2023, when Ottawa first alleged Indian state involvement in the killing of Sikh separatist Hardeep Singh Nijjar in British…
Details
DOI: 10.1108/OXAN-DB291098
ISSN: 2633-304X
Keywords
Geographic
Topical
Felix Wortmann, Heiko Gebauer, Claudio Lamprecht and Elgar Fleisch
Karthikeyan Marappan, Jenarthanan M.P. and Sree Krishna B.
The main purpose of this proposed parabolic leaf spring (PLS) is to reduce the weight of the steel leaf spring by developing a new design, to increase the load-carrying capacity…
Abstract
Purpose
The main purpose of this proposed parabolic leaf spring (PLS) is to reduce the weight of the steel leaf spring by developing a new design, to increase the load-carrying capacity, to increase the ride comfort for the passengers and also to achieve a substantial weight reduction in the suspension system by replacing the semi-elliptic leaf spring.
Design/methodology/approach
The semi-elliptic steel leaf spring and the PLS are compared based on the load-carrying capacity and weight. The design constraints are stresses and deflection. The dimensions of the HM trekker Jeep semi-elliptic leaf springs are taken. A three-dimensional model is created, and the static structural analysis is performed. The semi-elliptic leaf spring is tested on a universal testing machine, and the experimental result is compared with the analytical result for the validation. After validation, the stress analysis of the PLS is carried out and compared with the stress analysis of the semi-elliptic leaf spring.
Findings
The results show that the developed PLS performs better than the semi-elliptic leaf spring in terms of load-carrying capacity and weight reduction.
Originality/value
Comparison between the semi-elliptic leaf spring and the PLS (static structural analysis and dynamic analysis) has not been carried out before.