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This paper aims to examine the three-dimensional (3D) flow of carbon nanotubes (CNTs) due to bidirectional nonlinearly stretching surface by considering porous medium. Characteristics of both single-walled CNTs and multi-walled CNTs are discussed by considering Xue model. Darcy–Forchheimer model is used for flow saturating porous medium.

Optimal homotopy analysis method is used for the development of series solutions.

The authors deal with 3D Darcy–Forchheimer flow of CNTs over a nonlinearly stretching surface. Heat transport mechanism is discussed in the presence of Xue model. The homogeneous and heterogeneous effects are also accounted. The mathematical modeling is computed using boundary-layer approximations.

No such work has been done yet in the literature.

We investigate how green transformational leadership (GTL) influences green innovative service behavior (GISB), particularly in the hospitality sector, which faces significant environmental challenges. Drawing from social identity theory (SIT), we introduce green organizational identity (GOI) as a mediating mechanism through which GTL fosters GISB. Furthermore, we propose a moderated mediation model whereby a green knowledge-sharing climate (GKSC) serves as a first-stage moderator to further understand how and when GTL fosters GISB through GOI.

We employed a multi-study design (i.e. two independent studies across China) to test the hypothesized relationships. Study 1 involved full-time employees from the service industry in China, including healthcare, telecommunication, and insurance sectors (N = 313). Study 2 employed a time-lagged dyadic design, collecting responses from employees and their managers at three different time points in the hospitality sector (N = 419).

In Study 1, the simple mediation results demonstrate that GTL positively influences GISB through the mediating role of GOI. Moreover, in Study 2, the moderating effect of GKSC was supported, showing that in organizations with strong green knowledge-sharing climate, the indirect effect of GTL on GISB via GOI is amplified.

In our work, we address a critical gap in the literature by identifying both the mechanisms and contextual factors that explain how GTL influences GISB. By introducing GOI as a mediator and GKSC as a first-stage moderator, the study advances understanding of how leadership, organizational identity, and a green-supportive climate interact to promote eco-friendly innovation in service organizations. This contributes both theoretically and practically to the development of effective strategies for advancing green initiatives in the service sector.

The cases highlight the challenges in running a new start-up especially by women in a developing nation such as India in a high growth industry. The success of a business depends on employee motivation, sales, marketing, functional coordination and coordinated efforts from all the executives. Experten Office Supplies Pvt. Ltd. (EXOS) was women empowered entrepreneurial startup (printing) in Mumbai established themselves as a trustable brand among their clientele for their office stationeries need. At Initial stages, they started with a good pace and growth in revenue. Directors of EXOS, Komal and Upasana Sanjay Kumar, were facing a downturn, their declining sales and were stressed regarding the resignation of their core member Pravin. The reasons for the situation were many, including unplanned motivational factors, non-risk-taking ability, no proper sales management (organization structure), planning process issues, lack of reward system and dependency on a person, less marketing initiative. These issues must be resolved to come back in the business, increase its sales, better sales organization structure. After the case analysis, students should be able to: know the key role of marketing and sales as a management function. Develop motivation policies for the salesforce and key team members in the organization. Understand the salesforce retention strategies of the organization.

In September 2019, directors of EXOS, Komal and Upasana Sanjay Kumar were discussing the downturn of EXOS and were stressed regarding their declining sales and profit margin. Both were disappointed at the resignation of their Business Manager. They were in worry as the new deal that they were about to get which could have made them earn, but Pravin resigned from the job in short notice. The case has short- and long-term aspects. The short-term aspect is about the decision related to EXOS’s top performer, Pravin, how to retain him, which motivational factor will help him to rethink his resignation. The long-term aspect deals with framing a motivation model that will prevent the organization from a similar situation in the future. The case outlines the human resource management issues and particularly the importance of motivation to retain the talent of a small startup firm. Directors recognize the importance of Pravin and they have a realization that the deal on which Pravin is working is critical. Under this situation, Upasana has to stop Pravin.

Undergraduate, Master of Business Administration (MBA) or in the Management Development Programs.

Teaching notes are available for educators only.

CSS: 8 Marketing.

The purpose of this study is to examine the effect of board characteristics on foreign equity ownership (FEO) in the listed public limited companies of Bangladesh.

The study collected data from 418 annual reports of listed companies of Bangladesh for the years 2015, 2016 and 2017 to examine the effect of board characteristics on FEO. Ordinary Least Squares (OLS) and Two-Stage Least Squares (2SLS) regression methods are used to test the hypotheses of the study.

The results show that board size has significant negative influence on FEO. Other board characteristics variables such as board independence and female directorship appear to have an insignificant influence on FEO. However, several firm characteristics variables such as return on assets, market-to-book ratio, firm size and firm age have a significant positive relationship with FEO. While presenting the regression results separately for manufacturing and non-manufacturing firms, the findings reveal a number of differences in the results between the two sectors.

The major limitation of the study is that it concentrates only on three years annual report data in analyzing the hypothesized relationships.

Policy makers, regulators and top management can get meaningful insights with respect to optimal board structure and firm characteristics to attract foreign investors as the results revealed significant effects of several board and firm characteristics variables on FEO.

The present study includes the presence of female directors on the board to represent board characteristics. No other study has examined the relationship between FEO and female directors.

There is growing recognition that effective project control systems (PCS) are critical to the success of projects. The relationship between the individual elements of PCS and successfully achieving project objectives has yet to be explored. This research investigates the enablers and barriers that influence the elements of PCS success and drive project objectives.

This study adopts a mixed approach of descriptive analysis and regression models to explore the impact of six PCS elements on project outcomes. Petroleum and chemical projects in Saudi Arabia were selected as a case study to validate the research model.

Data from a survey of 400 project managers in Saudi’s petroleum and chemical industry reveal that successful PCS are the key to achieving all project outcomes, but they are particularly critical for meeting project cost objectives. Project Governance was identified as the most important of the six PCS elements for meeting project objectives. A lack of standard processes emerged as the most significant barrier to achieving effective project governance, while having skilled and experienced project team members was the most significant enabler for implementing earned value.

The study offers a direction for implementing and developing PCS as a strategic tool and focuses on the PCS elements that can improve project outcomes.

This research contributes to project management knowledge and differs from previous attempts in two ways. Firstly, it investigates the elements of PCS that are critical to achieving project scope, schedule and cost objectives; secondly, enablers and barriers of PCS success are examined to see how they influence each element independently.

Earned Value Management (EVM) is widely used as a project performance measurement and forecasting technique. Nonetheless, it has not been fully explored in Pakistani construction industry; where conventional progress reporting methodology (CPRM) is being followed having certain confines. It reports only the financial progress of a project, expresses feeble association between the duration and cost of activities, and forecasts flawed schedule and completion cost. This research implements EVM on under-construction building projects in Pakistan, and compares its upshots with the projects' actual records and with the outcomes of CPRM.

To assess the implementation of EVM on building projects, a set of specific criteria was established. Work Breakdown Structure, Organization Breakdown Structure and Control Points were established. The study has compared the EVM metrics with CPRM outcomes on three under-study building projects, and has deliberated on their mutual differences as well as their relationship with actual cost and schedule performance. Monthly figures of actual spending and completed activities were periodically recorded and compared with planned values for status indication. The graphs were generated to observe the correlation between the results of EVM and CPRM. The data was then extrapolated to forecast the schedule and cost values at completion.

The study discovered that trends of EVM in quantifying the project's cost and schedule performance were strongly correlated and were closer to the actual progress. It has also verified the EVM's soundness in forecasting the cost and schedule, required for project's completion. Contrarily, CPRM metrics could not precisely visualize the current and future, cost and schedule performance.

The case study concludes that EVM's incorporation in progress reporting regime can revolutionize the assessment procedures in Pakistan by rightly indicating the project's current status as well as visualizing the future performance. The study's methodology can also be extrapolated in other countries having similar work environment and economic conditions.

This chapter examines how information and communication technology (ICT) initiatives affect customers’ everyday routines with an emphasis on how electronic word of mouth (eWOM) affects their purchasing decisions and determines if eWOM might serve as a useful trust factor when making purchasing decisions. This chapter is based on both primary and secondary data and examines how eWOM affects customers’ buying decisions in this era of increasing social media platform usage. One hundred individuals from various regions of Karachi provided the primary data, collected through an online survey. Secondary data are also employed, such as details from business websites, scientific papers, and other related publications of businesses. In Karachi’s developing digital market, it was discovered that eWOM via social media used to have a substantial impact on consumers’ shopping habits. The effectiveness of social media content depends greatly on how appropriate it is for the intended audience. Social media marketing doesn’t quite simply aim to improve consumers’ impressions or directly advertise things. It also entails maintaining and fostering relationships between businesses and prospective customers. According to the research, consumers’ recommendations and ratings of goods and services made on social media, whether through eWOM or another channel, influenced their decisions to buy. Customers consider social media to be trustworthy when making decisions about what to buy. Customers are currently adopting social media as opposed to more conventional means to learn about new products. Most customers believe that eWOM from social media greatly affected their shopping choices, according to the results of the study.

By combining the notion of prospect theory with advanced machine learning algorithms, this study aims to predict whether financial institutions (FIs) adopt a reactive stance when they perceive climate change as a risk, consequently leading to the adoption of environmental, social and governance (ESG) practices to avoid this risk. Prospect theory assumes that decision-makers react quickly when decisions are framed as a risk or threat rather than as an opportunity.

We used a sample of 168 FIs across 27 countries and seven regions over the period 2003–2020. To conduct our empirical investigation, we compared the prediction accuracy of various machine learning algorithms.

Our findings suggest that out of 12 machine learning algorithms, AdaBoost, Gradient Boosting and XGBoost have the most precision in predicting whether FIs react to climate change risk in adopting ESG practices. This study also tested the overall climate change risk and risks associated with physical, opportunity and regulatory shocks of climate change. We observed that risks associated with physical and regulatory shocks significantly impact the adoption of ESG practices, supporting prospect theory predictions.

The insights of this study provide important implications for policymakers. Specifically, policymakers must take into account the risk posed by climate change in the corporate decision-making process, as it directly influences a firm’s adoption of corporate actions (ESG practices).

To the best of our knowledge, this is the first study to investigate the firm-level climate change risk and adoption of ESG practices from a prospect theory perspective using novel machine learning algorithms.

This paper aims to investigate the immediate effect of the outbreak of the COVID-19 pandemic by investigating volatility transmission and dynamic correlation between stock (conventional and Islamic) markets, bitcoin and major commodities such as gold, oil and silver at different investment horizons before and after 161 trading days of the outbreak of the COVID-19 pandemic.

The MGARCH-DCC and maximum overlap discrete wavelet transform -based cross-correlation were used in the estimation of the volatility spillover and continuous wavelet transform in the estimation of the time-varying volatility and correlation between the assets at different investment horizons.

The authors observed a sudden correlation breakdown following the COVID-19 shock. Oil (Bitcoin) was a major volatility transmitter before (during) COVID-19. Digital gold (Bitcoin), gold and silver became highly correlated during COVID-19. The highest co-movement between the assets was observed at medium and long-term investment horizons.

The study findings have a financial implication for day traders, investors and policymakers in the understanding of volatility transmission and intercorrelation in a bid to actively manage stylized and well-diversified asset portfolios.

This study is unique for its employment in estimating the time-varying conditional volatility of the investable assets and cross-correlations between them at different investment horizons, particularly before and after COVID-19 outbreak.