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The purpose of this paper is to explore how consumers’ socialization influences soft drink consumption behavior in Pakistan. Since consumer socialization has long been considered but it is important to understand whether the extent of consumer socialization in terms of soft drink consumption influences consumer behavior by taking into consideration consumer cohorts.

The quantitative research is based on consumer survey method by using Likert scale questionnaire. Convenience sampling technique with a sample size of 637 is used. Data are analyzed by using cronbach α, ANOVA, correlation and multiple regressions.

Overall, the findings maintain the impact of consumer socialization on soft drink consumption. Such influence of consumer socialization through social media, cultural groups and social groups encourages soft drink socialization behavior. Additionally there is also an evidence of mediating role of consumer generational behavior in soft drink consumption.

The results of this paper extend knowledge of how consumer socialization affects soft drink consumption behavior and provide important insights into how consumer cohorts should be targeted. The Chosen research approach is a limitation of the study.

The results are of value to academic researchers, soft drink industry practitioners in a way that it will help them to portray marketing and advertising activities by taking into consideration consumer cohorts behavior.

This paper addresses an untapped issue on how cohorts socialization at different social setting impact on consumer soft drink consumption behavior.

This paper fulfills a recognized need to study soft drink socialization in terms of cohort’s behavior.

Drawing on new insights from the perspectives and experiences of board members, the purpose of this study is to determine the board attributes that influence board roles in improving the integration of corporate social responsibility (CSR) into corporate governance structures. In total, 10 in-depth semi-structured interviews were conducted with directors of listed Jordanian companies to explore their perceptions of the effect of board of directors' composition on CSR and CSR disclosure (CSRD). The key findings show that boards with a diverse range of directors is essential independent/nonexecutive members, directors with business and/or accounting backgrounds, and foreign members to determine if they aim to better manage their CSR. To take CSR to the next level in the Arab region, we need to strengthen corporate governance mechanisms, and put more pressures on companies to make changes in board composition. For example, we suggest that companies that appoint business-educated and foreign members to their boards tend to engage in more impactful social and environmental-related activities and reflect their sustainable development more effectively. The study responds to calls for further research adopting qualitative methods, such as case studies and interviews in order to obtain a complete and in-depth understanding of the influence of board composition on CSR/CSRD. The findings provide useful insights for practice, policymakers, and future research.

This study empirically evaluates the effect of China’s 2016 Green Financial System (GFS) framework on corporate green development, focusing on the role of green investment in achieving sustainability.

This study uses a quasinatural experiment design to combine difference-in-difference and propensity score matching methods for analysis. It examines 799 polluting and 1,130 nonpolluting firms from 2013 to 2020, enabling a comprehensive assessment of the GFS framework’s influence.

This study affirms a statistically significant positive influence of the GFS framework on escalating green investment levels in polluting firms. Robust sensitivity analyses, encompassing parallel trend assessment, entropy balancing test, and alternative proxies, corroborate these findings. A mediation analysis identifies the implementation of an environmental management system as the potential underlying mechanism. A cross-sectional analysis identifies high financial slack, high profitability, mandatory CSR regulations, and marketization level as the influencing factors.

The study’s findings have critical implications for policymakers, regulators, and companies. Demonstrating the effectiveness of the GFS framework in driving green investment underscores the importance of aligning financial systems with sustainability goals.

This study contributes novel empirical evidence on the positive effect of China’s GFS framework on corporate green development. The quasinatural experiment design, coupled with comprehensive sensitivity analyses, strengthens the robustness of the findings.

The current chapter proposes a theoretical framework to assess the sustainability of economic growth in the Gulf Cooperation Council (GCC) States. The authors integrate insights from endogenous growth models and consider the unique socioeconomic characteristics of the GCC region to provide a comprehensive and tailored approach to understanding the determinants of economic growth and formulating effective policy measures to foster sustainable development and growth. This chapter highlights the environmental challenges faced by GCC; based on this, the authors suggested indicators to construct a theoretical framework (Economic Growth, Climatic Indicators, Energy Indicators, Social Indicators, and Economic Resources Indicators). The authors propose that policymakers and researchers in GCC States should take these factors into account when devising policies or conducting research aimed at fostering sustainable economic growth. Overall, this chapter presents significant insights for policymakers, researchers, and stakeholders involved in promoting the sustainable economic advancement of the GCC States.

Pakistan has long been regarded as one of the most vulnerable countries to climate change. The Food and Agriculture Organisation of the United Nations promotes conservational agricultural practices (CAP); however, they received little attention. Therefore, this study aims to explore the antecedents of farmers’ intention to adopt CAP with empirical evidence to enhance CAP in developing countries.

Using a random sampling strategy, the data has been gathered from 483 Pakistani’s farmers of the most agriculture-producing province, Punjab and Sindh via a questionnaire survey. Regression-analysis (Haye’s process approach) is implied for testing the hypothesis.

The findings indicated that a farmer’s environmental orientation positively affects the farmer’s intention to adopt CAP. Furthermore, the farmer’s attitude towards agricultural production and the farmer’s belief in climate change also positively moderate the relationship.

Based on findings, this research suggests a need for efforts by the government to encourage farmers to engage themselves in technical support for the adoption of CAP. The educational campaigns and training sessions need to be arranged by the government for this purpose. This may help the farmers to adopt strategies relating to climate change concerning their education, credit access and extension services.

This paper explores the antecedents of farmers' intention for CAP in Pakistan. The empirical evidence previously missing in the body of knowledge will support the governments, researchers and FAO to establish a mechanism for enhancing CAP in developing countries like Pakistan. Further research is recommended to explore the outcomes of farmers' intentions to adopt more CAP to gauge the effectiveness of adaptation strategies

This study aims to investigate the influence of disclosing environmental, social and governance (ESG) factors on financial performance, taking into account the moderating effect of the COVID-19 pandemic.

A sample of the top 100 non-financial firms listed on the Bombay Stock Exchange, for the years 2019–2022, has been considered. Suitable panel regression models have been used to assess the impact of non-financial disclosure on accounting and market measures of firm performance. In addition, a panel data moderating effect model is used to assess the moderating impact.

The outcomes of the study partially favour the value-creation role of ESG disclosure. Specifically, the disclosure of already established ESG metrics, particularly social and governance aspects, positively impacts the market performance while environmental transparency negatively impacts the accounting performance. Of the three ESG components, only extended governance disclosure adds to market value. Results of the moderation effect reveal a significant impact of the pandemic on the ESG disclosure–financial performance relation. However, a more pronounced effect before the pandemic is observed. The results are robust to endogeneity.

This study sheds light on the financial consequences of ESG disclosure within the context of an emerging nation. This is done by using a novel holistic ESG reporting framework to obtain more accurate results. Furthermore, the study distinguishes itself by examining the long-term moderating influence of the unexpected COVID-19 crisis on the ESG disclosure–financial performance relation.

Knowledge management in any organization is important in enhancing the organization’s performance. This study aims to explore the influence of knowledge management capability on organizational performance with the mediation role of opportunity recognition and the moderation effect of environmental dynamism.

This study used an effective and well-developed survey to collect data from 387 managers working in different service organizations in the Kingdom of Saudi Arabia. Further, SmartPLS software was used for data analysis.

The outcomes confirm that knowledge management capability is directly and indirectly (via opportunity recognition) related to organizational performance. Environmental dynamism moderates the linkage between knowledge management capability and opportunity recognition, as well as between opportunity recognition and organizational performance.

This study provides a valuable and novel managerial and theoretical approach for management to improve firm performance with the help of knowledge management capabilities, opportunity recognition, and environmental dynamism. The findings of this paper can be implemented not only in the service sector but also in the production sector. Future studies can use this conceptual framework in different countries with the current data. Moreover, other analytical approaches can be used to check the variability of these findings.

This study contributes to connecting research gaps in the literature and advancing insights into how knowledge management capabilities affect organizational performance. The study explores the mediating role of opportunity recognition and environmental dynamics as moderators between knowledge management capability and opportunity recognition and between opportunity recognition and organizational performance.

This study’s main objective is to determine the extent to which social capital and psychological capital can explain differences in career adaptability among higher education students.

The study employed a quantitative approach, utilizing a survey research design. Data were gathered using an online questionnaire completed by 384 fourth-year undergraduate agricultural students in Iran. The inverse square root and multistage sampling methods were used to determine the sample size. The partial least squares-structural equation modelling (PLS-SEM) method examined the associations between latent variables.

The results suggest that social and psychological capital significantly influence the career adaptability of agricultural students, highlighting their significance in enhancing career adaptability. Moreover, psychological capital positively mediates the relationship between social capital and career adaptability.

Agricultural higher education institutions must focus on developing students' social and psychological capital to cultivate career adaptability in agricultural students. Agricultural higher education institutions, for example, should help students develop soft skills.

This study offers novel insights into the significance of individual resources, such as social and psychological capital, in enhancing the career adaptability of students. In addition, the key contribution of this study is the researchers' empirical evidence that multiple career resources are interconnected (social capital, career adaptability, and psychological capital).

The study attempts to examine the impact of mandatory corporate social responsibility (CSR) spending and inclusion of firms into the environment, social and governance (ESG) index of BSE India on the performance of firms constituting firms under the Bombay Stock Exchange (BSE) 100 Index.

The stock prices of the firms were collected from the official website of BSE India for a total of 32 firms and the System Generalized Method of Moments (GMM) model was utilized for analyzing the data for the present study.

The study found that the investors in the Indian market do consider the CSR spending and ESG listing as a factor while framing the investment strategy; however, ESG listing is least preferred. Among the other variables, AGE, DPS, EPS and BVPS have a significant positive bearing on the firm's performance, while SIZE has a significant negative impact on the firm's performance.

Further investigation is needed to understand the factors that influence investment decision-making, including why investors tend to overlook CSR and environmental protection. Future research can identify ways to increase the importance of these factors in investment decision-making. Future research can explore the long-term impact of investing in socially responsible companies, including whether such investments lead to better long-term performance.

There is a need for increased awareness of the importance of CSR among investors. Educational programs and campaigns can be used to inform investors about the potential benefits of considering social responsibility factors in investment decision-making. Companies that prioritize CSR and environmental protection should distinguish themselves from competitors in the eyes of investors. This can lead to higher investment and potentially higher returns for these companies.

Since mandatory CSR expenditure and the launch of the ESG index by the BSE have been introduced in India recently, hardly any study in India has examined the impact of the same on the firm's performance.

Wireless Body Area Network (WBAN) technology envisions a network in which sensors continuously operate on and obtained critical physical and physiological readings. Sensors deployed in WBANs have restricted resources such as battery energy, computing power and bandwidth. We can utilize these resources efficiently. By devising a mechanism that is energy efficient with following characteristics, i.e. computational complexity is less, routing overhead is minimized, and throughput will be maximum. A lot of work has been done in this area but still WBAN faces some challenges like mobility, network lifetime, transmission range, heterogeneous environment, and limited resources. In the present years well, contemplative studies have been made through a large body to reach some holistic points pertaining to the energy consumption in WBAN. Thus we/put forward appropriate algorithm for energy efficiency which can vividly corroborate the advances in this specific domain. We have also focused on various aspects and phases of the studies like study computational complexity, routing overhead and throughput type of characteristics. There is still a room for improvement to get the desired energy optimization in WBAN. The network performance mainly relies upon the algorithm used for optimization process. In this work, we intended to develop an energy optimization algorithm for energy consumption in WBAN which is based on evolutionary algorithms for inter-BAN communications using cluster-based routing protocol.

In this paper we propose a meta heuristics algorithm Goa to solve the optimization problem in WBAN. Grasshopper is an insect. Generally, this insect is viewed individually and creating large swarm in nature. Figure 5 shows the individual grasshoppers' primitive patterns in swarm. Figure 7 depicts the pseudo code of Goa. In Goa, experiments are done to view the behavior of grasshoppers in swarm. How they gradually move towards the stationary and mobile target. Through experimentation it is conceived that swarm gradually converge towards their target. Another interesting pattern related to convergence of grasshopper is that it slowly towards its target. This shows that grasshopper does not trapped in local optima. In starting iterations of exploration process Goa, search globally and in last iterations it searches local optima. Goa makes the exploration and exploitation process balanced while solving challenging optimization problems.

Energy efficiency is achieved in the optimization process of cluster formation process. As the use of proposed algorithm Goa creates the optimal number of clusters. Shorter cluster lifetime means more times clustering procedure is called. It increases the network computational cost and the communication overhead. Experimentation results show that proposed Goa algorithm performs well. We compare the results of Goa with existing optimization Algorithms ACO and MFO. Results are generated using MATLAB.

A lot of work has done for the sake of energy optimization in WBAN. Many algorithms are proposed in past for energy optimization of WBAN. All of them have some strengths and weaknesses. In this paper we propose a nature inspired algorithm Goa. We use the Goa algorithm for the sake of energy optimization in WBAN.