Purpose The purpose of this paper is to holistically study barriers in the path of implementation of retirement planning, as the need is increasing with decrease in mortality. The proper retirement planning can be one of the most important tools to control financial expenses on healthcare and welfare on old age population in government budgets. Design/methodology/approach The paper is a blend of theoretical framework and practical application and uses interpretive structural modeling (ISM) analysis to draw linkage and impact of identified barriers in the path of achievement of goals of retirement planning. The study has used three different research phases: identification of barriers from the literature, interviews with experts of industry at second stage and designing an ISM impact matrix cross-reference multiplication model. The identification phase led to the selection of 15 factors from past literature and by suggestion from industrial experts. Findings This study seeks to identify which barrier is acting as the most dominant one for the mass adoption of retirement planning and this result is helpful for policymakers to remove the dominant barrier. The result of this analysis can make retirement planning easy by elimination of highlighted barriers on the basis of their importance in the path of achievement of retirement goals. In the ISM level diagram, barriers such as marital status, number of financial dependents at the bottom, gender, income level, educational level, financial literacy, financial dependency, policy regulation, terms and conditions, goal clarity and psychological and cultural factors are on the top. Barrier of macroeconomic and bureaucratic impediments are also very important factors for achievement of retirement goal of an individual, but they cannot be controlled directly by the associated members of industry. Originality/value The concern for providing sufficient retirement resources is growing with the increase in life expectancy for human beings. Such requirement has attracted views from not only academicians but also policymakers. This paper is one of the preliminary attempts to identify barriers in implementation of retirement planning and rank them according to their importance.

The policymakers should take a series of immediate actions to address the consequences of the Covid-19 pandemic in the path of the sustainable economy by reaching to every segment of the society to return the economy on track, financial inclusion (FI) is the only way to achieve the target. The study analyzes the obstacles in the path to achieve sustainable growth, which has been partitioned into two stages; the identification of barriers and investigation. The study has divided into three diverse stages: identification of barriers, interviews with specialists from industry, and framing an ISM model. Fifteen barriers have been identified in the achievement of goals of financial inclusion with four levels in ISM designed model. Not enough money, Lack of trust, High cost, Financial Illiteracy, Gender issues, Age factor, and Terms and conditions are factors of prime importance as they have very high driving as well as dependence power. Factors like Irregular income, Distance, and Legal identity are not showing a direct impact on other variables in the system, so these three factors may overlook by decision takers. Psychological and cultural barriers and Bank charges are very important barriers to high dependent driving power. These obstacles must require proper attention.

The global crowdfunding (CF) market was valued at 10.2 billion US$ in 2018 and is expected to almost triple in size by 2025. The CF is evolving as a major and easy source of fundraising methods for various industries. Still, this acceptability is not widely accepted in transportation activities due to various limitations and low awareness among policymakers. The present research analyzes the factors contributing to the growth of market acceptability of CF, divided into three different research phases: identifying barriers from the literature, interviews with transport industry experts at two stages, and designing an ISM model in a fuzzy environment. The identification phase led to selecting 16 factors from the past literature and suggesting industrial experts. The Interpretive Structural Modelling (ISM) analysis was used to understand the impact and linkage of identified barriers on seven levels of the fuzzy scale. The factors are classified into four major categories based on the fuzzy matrix's drive and dependence power using Fuzzy MICMAC. The sixteen identified growth factors for CF have been distributed in 5 levels in the ISM designed model. All the factors had fallen in only two quadrants of MICMAC based on the fuzzy scale matrix. Except for No or Low in regulation, the selected fifteen factors fall in the linkage quadrant, with high dependency and driving power. Such relation of all variables is the precise reason for storm growth in the field. “No or Low in regulation” is one of the most significant factors to the growth and acceptance of this innovative fundraising method by common investors but cannot be controlled directly by the associated crowdfunding members in the transport industry.

This article discusses the challenges of accurately predicting the direction of the stock market and proposes a new approach using machine learning and manual forecasting. The article explores the use of technical analysis and machine learning to predict current stock market indices’ values by training on historical data. The authors demonstrate how these methods can be used to influence investor judgments at different levels of consideration, including unrestricted, near, medium, high, and volumic. The article also explores the use of social media platforms like Twitter and the correlation between stock prices and local weather patterns to improve forecasting accuracy. The authors present their research in three phases, demonstrating the potential of machine learning and technical analysis to provide accurate and reliable predictions for investors seeking to protect themselves from market volatility.

In this research study, the authors examine the impact of Entrepreneurial Orientation (EO) on hotel performance, specifically in the context of Jaipur, Rajasthan, India. A quantitative approach was taken, surveying 88 hotel managers who rated the structures on a 7-point scale. The dimensionality of the scales was evaluated using factorial analysis, and the authors investigated the effect of absorptive abilities on entrepreneurial propensity using factorial scores generated from Exploratory Factor Analysis. The results suggest a direct relationship between EO, Business Performance (BP), and absorption capacity (ACAP*EO) on BP. However, there was no direct relationship found between ACAP and BP, indicating that the association discovered in this study is a moderator-only effect. The interaction regression coefficient was negative, indicating that absorptive capacity reduced the effects of EO on beach hotel performance, likely due to their competitive aggressiveness. The study indentify EO attributes of “innovation, risk-taking, proactivity, and autonomy” positively impacted performance. These findings suggest that entrepreneurial strategies can significantly impact hotel performance, and that absorptive capacity plays a moderating role in this relationship.