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The purpose of the study was to find out the impact of the castrated and intact attribute of the male goat on its price in Pakistan.

Five major goat markets of Punjab, Pakistan, representing various cropping systems, climatic conditions and socio-economic conditions, were selected for the study. Data about the market location, traits of traded male goat (weight, age, breed, castration, etc.), buyer attributes (education level, experience of buying goats), the purpose of buying and price of 383 traded male goats were collected by using a pretested questionnaire. The hedonic regression model was used to estimate the impact of male goat attributes on its price.

Results indicated a significant price difference between castrated and intact male goats and recommended castration of male goats for a better price. Additional findings showed a significant positive impact of live weight, age, breed and the selling marketplace on the male goat prices.

By targeting and marketing male goat characteristics like castration, weight, breed and selling markets, goat producers can receive a premium price for their animals.

In livestock markets of developing countries, buyers strongly prefer castrated or intact male goats for several reasons. However, as existing literature did not document the effect of male goat's castrated and intact attribute on its price; therefore, the study is important to fill this gap.

The recent pandemic caused by coronavirus disease 2019 (COVID-19) has significantly impacted the operational performances of pharmaceutical supply chains (SCs), especially in emerging economies that are critically vulnerable due to their inadequate resources. Finding the possible barriers that continue to impede the sustainable performance of SCs in the post-COVID-19 era has become essential. This study aims to investigate and analyze the barriers to achieving sustainability in the pharmaceutical SC of an emerging economy in a bid to help decision-makers recognize the most influential barriers.

To achieve the goals, two decision-making tools are integrated to analyze the most critical barriers: interpretive structural modeling (ISM) and the matrix of cross-impact multiplications applied to classification (MICMAC). In contrast to other multi-criteria decision-making (MCDM) approaches, ISM develops a hierarchical decision tool for decision-makers and cluster analysis of the barriers using the MICMAC method based on their driving and dependency powers.

The findings reveal that the major barriers are in a four-level hierarchical relationship where “Insufficient SC strategic plans to ensure agility during crisis” acts as the most critical barrier, followed by “Poor information structure among SC contributors,” and “Inadequate risk management policy under pandemic.” Finally, the MICMAC analysis validates the findings from the ISM approach.

This study provides meaningful insights into barriers to achieving sustainability in pharmaceutical SCs in the post-COVID-19 era. The study can help pharmaceutical SC practitioners to better understand what can go wrong in post-COVID-19, and develop actionable strategies to ensure sustainability and resilience in practitioners' SCs.

Risk factors for population relocation as a result of severe catastrophes are increasing on a global scale. The frequency of catastrophic weather events is rising, infrastructure is getting older, the population is expanding, and urbanization is increasing. This study explores the influencing factors of livelihood, vulnerability, and livelihood resilience of climate-induced displaced people in developing countries, particularly in South Asia. A mixed-method approach comprising a systematic review and a narrative review has been applied in this study. A systematic review guided by PRISMA has been used to identify the relevant documents and the extracted information has been described through a narrative review approach. This study reveals that climate-induced displaced people are generally vulnerable to maintaining their livelihood, but there are a few exceptional cases where displaced people could diversify their livelihood strategies. The major influencing factors of their livelihoods are riverbank erosion, loss of assets and properties, food insecurity, seasonal hunger, low access to finance, and low job opportunity. This study argues that climate-displaced people have a long struggle to enhance their livelihood resilience, but it is a challenging task for them, particularly at the household level. The major influencing indicators under adaptive, absorptive, and transformative capacities of livelihood resilience are income and food access, agricultural and non-agricultural assets, sensitivity, climate variability and hazards, basic services, social safety nets, and institutional participation. Appropriate governance in the structural and non-structural transformation of livelihood capitals can enhance the livelihood resilience of climate-induced displaced households. In the case of Bangladesh, the coastal and Riverine Island communities are the key victims of climate-induced hazards, so they migrated frequently to reduce their vulnerability and enhance livelihood resilience. The study recommends ensuring transparency and accountability, proper coordination among stakeholders for promoting the resettlement, disaster-resilient housing and infrastructure, and Khas land (government-owned land) to the displaced people can enhance their livelihood resilience.

This research mainly intends to ascertain the stimulus of investor investment tendencies on the amount of capital investment in the share market.

Utilizing a sample of 477 individual investors who actively trade on the Bangladesh capital market, this empirical study was conducted. The objective of this examination is to ascertain the investment trading behavior of retail investors in the Bangladesh capital market using multiple regression, hypothesis testing and correlation analysis.

The coefficients of market categories, preferred share price ranges and investment source reveal negative predictor correlations; all predictors are statistically significant, with the exception of investment source. Positive predictive correlations exist between investor category, financial literacy degree, investment duration, emotional tolerance level, risk consideration, investment monitoring activities, internal sentiment and correct investment selection. Except for risk consideration and investment monitoring activities, all components have statistically significant predictions. The quantity of capital invested in the stock market is heavily influenced by the investment duration, preferred share price ranges, investor type, emotional toleration level and decision-making accuracy level.

This investigation was conducted exclusively with Bangladeshi individual stockholders. Therefore, the existing study can be extended to institutional investors and conceivably to other divisions. It is possible to conduct this similar study internationally. And the query can enlarge with more sample size and use a more sophisticated econometric model. Despite that the outcomes of this study help the regulatory authorities to arrange more informative seminars and consciousness programs.

The conclusions have practical implications since they empower investors to modify their portfolios based on elements including share price ranges, investment horizons and emotional stability. To improve chances of success and reach financial objectives, they stress the significance of bettering financial understanding, active monitoring and risk analysis. Results can also be enhanced by distributing ownership over a number of market sectors and price points. The results highlight the value of patience and giving potential returns enough time.

This study on the trading behavior of investors in Bangladesh is unique and based on field study, and the findings of this study will deliver information to the stakeholders of the capital market regarding the investors’ trading behavior belonging to different categories, financial literacy level, investment duration, emotional tolerance level and internal feeling.

The purpose of this study is to investigate the impact of e-service quality and e-trust on customer e-satisfaction and, subsequently, on customer e-loyalty towards a website in the online shopping environment of Pakistan.

The research employed a quantitative approach and utilised structural equation modelling to investigate the relationship between e-service quality and e-trust on consumers’ e-satisfaction and e-loyalty. The data were collected from 250 individuals who actively use online shopping websites to purchase products in Pakistan.

The findings revealed that e-service quality and e-trust offered on e-commerce websites significantly impacted customer e-loyalty. However, it was found that both e-service quality and e-trust do not have a significant impact on customer e-satisfaction. In addition, the findings showed that customer e-satisfaction positively impacts e-loyalty.

Overall, these findings emphasise the importance of e-service quality, e-trust and customer e-satisfaction and their role in cultivating customer loyalty within the context of the online shopping environment in Pakistan.

This study contributes to the existing literature on online shopping in Pakistan by exploring the factors influencing consumer behaviour in this context. The findings add to the academic understanding of consumer behaviour and provide valuable insights for e-commerce businesses in Pakistan.

This study aims to systematically review various behavioral biases that impact an investor’s decision-making process. The prime objective of this paper is to thematically explore the behavioral bias literature and propose a comprehensive framework that can elucidate a more reasonable explanation of changes in financial markets and investors’ behavior.

Systematic literature review (SLR) methodology is applied to a portfolio of 71 peer-reviewed articles collected from different electronic databases between 2007 and 2021. Content analysis of the extant literature is performed to identify the research themes and existing gaps in the literature.

This research identifies publication trends of the behavioral biases literature and uncovers 24 different biases that impact individual investors’ decision-making. Through thematic analysis, an attribute–consequence–impact framework is proposed that explains different biases leading to individual investors’ irrationality. The study further proposes directions for future research by applying the theory–characteristics–context–methodology framework.

The results of this research will help scholars and practitioners in understanding the existence of various behavioral biases and assist them in identifying potential strategies which can evade the negative effects of these biases. The findings will further help the financial service providers to understand these biases and improve the landscape of financial services.

The essence of the current paper is the application of the SLR method on 24 biases in the area of behavioral finance. To the best of the authors’ knowledge, this study is the first attempt of its kind which provides a methodical and comprehensive compilation of both cognitive and emotional behavioral biases that affect the individual investor’s decision-making.

Employee Stock Options [ESOs] have been used widely as a component of employees' compensation. To maximise the incentive effect of these options it is very important to understand the exercise decision of the employees. This is an important financial decision that is dependent on both rational and psychological factors. This paper aims to study the mediating role of Herding Bias on Personality Traits and the employees' decision to exercise ESOs.

The data were collected through a self-structured questionnaire from 210 employees of Banks and NBFCs [Non-Banking Financial Companies] who have received and exercised the ESOs. SPSS MACRO version 25 was used to understand the mediational effect of Herding Bias on Personality Traits and Employees' decision to exercise their ESOs.

The results showed that Personality Traits affect the employees' decision to exercise their ESOs. The study also shows a partial negative mediating effect of Herding Bias on Personality Traits and employees' decision to exercise ESOs.

Limited study has been conducted on how the employees make their decision to exercise ESOs. Although extant studies have touched upon the importance of including behavioural biases in ascertaining the exercise decision of the employees, the predictors of the behavioural biases have not been studied under this context. To the best of the author's knowledge, this study is the first in itself to study the inter-linkage between Personality Traits, Herding Bias and employees' decision to exercise ESOs.

Organizations have increasingly been compelled to engage in ecological businesses in recent decades, necessitating identifying environmental practices contributing to enhanced sustainability. One of the main reasons for doing this research is to see how far down the path to green transformational leadership (GTFL) in Green Human Resource Management (GHRM) practices in the healthcare industry in Pakistan. Additionally, this research aims to analyze how this change affects the long-term success of businesses in sustainable performance (SP).

To identify factors related to the study variables, the research utilized master journals, as well as the Web of Science and Scopus databases. The ISM-DEMATEL (Interpretive Structural Modeling - Decision Making Trial and Evaluation Laboratory) technique was employed to establish a hierarchical model. This model facilitated the identification of cause-and-effect relationships among factors, which were further elucidated using the DEMATEL interrelationship diagram.

The analysis of the results indicates that Green Training (F4), Green Job Analysis (F1), Intellectual Stimulation (F10), and Green Product Innovation (F9) are the primary factors that have a significant impact on achieving Environmental Policies and Regulations (F13), and Subjective Environment Norms (F14) of SP factors.

The study is implemented in the healthcare industry of Pakistan, with a focus on practical and managerial aspects. It encourages managers to develop and adapt their human resources policies and environmental strategies. Implementing safety health standards is crucial to mitigate the detrimental effects on the environment. The research was carried out during the period of the pandemic. The scope of this study was restricted to the healthcare industry in Pakistan.

In order to improve SP, this study presents a unique strategy combining sustainability into decision-making procedures with the function of GTFL in GHRM. Implementing safety health standards is crucial to mitigate the detrimental effects on the environment.

Selfie is a popular self-expression platform to visually communicate and represent individual thoughts, beliefs, and creativity. However, not much has been investigated about selifie's pedagogical impact when used as an educational tool. Therefore, the authors seek to explore students' perceptions, emotions, and behaviour of using selfies for a classroom activity.

A triangulated qualitative approach using thematic, sentiment, and selfie visual analysis was used to investigate selfie perception, behaviour and creativity on 203 undergraduates. Sentiment analyses (SAs) were conducted using Azure Machine Learning and International Business Machines (IBM) Tone Analyzer (TA) to validate the thematic analysis outcomes, whilst the visual analysis reflected cues of behaviour and creativity portrayed.

Respondents indicated positive experiences and reflected selfies as an engaging, effortless, and practical activity that improves classroom dynamics. Emotions such as joy with analytical and confident tones were observed in their responses, further validating these outcomes. Subsequently, the visual cue analysis indicated overall positive emotions reflecting openness towards the experience, yet also reflected gender-based clique tendency with modest use of popular selfie gestures such as the “peace sign” and “chin shelf”. Furthermore, respondents also preferred to mainly manipulate text colours, frames, and colour blocks as a form of creative output.

The study's findings contribute to the limited studies of using selfies for teaching and learning by offering insights using thematic analysis, SA and visual cue analysis to reflect perception, emotions, and behaviour.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2021-0608/