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This study investigates the antecedents of women entrepreneurs’ performance in an emerging economy. Based on the review of extant literature, six antecedents of women entrepreneurs’ performance, namely, motivation, networking, socio-cultural, business environment, training and development, and financials were proposed and subsequently empirically examined.

Gaps in the literature were identified, based on which the theoretical background of the study was formulated. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were applied to confirm the factor-item structure. The impact of explanatory variables was investigated using the structural equation modeling (SEM) based path analysis.

The study concludes that motivation, networking, socio-cultural, business environment, training and development, and financials have a significant positive influence on the performance of the women entrepreneurs.

There is a dearth of quality research that holistically investigates the key antecedents of performance among women entrepreneurs. Most existing studies have not considered the possible antecedents of performance concomitantly. Additionally, the relationships have been measured individually rather than at the construct level. Further, a majority of the existing studies investigating the performance of women entrepreneurs have been confined to settings within developed countries. By providing insight into the antecedents of women entrepreneurs’ performance elsewhere, the present study attempts to bridge these identified gaps. This study is expected to advance the knowledge about the factors influencing the performance of women entrepreneurs in emerging economies such as India. These insights will likely be valuable when creating policies related to this crucial aspect of economic development.

The purpose of this study is to conceptualize, develop and validate a scale reflecting performance dimensions of women entrepreneurs. The study intends to address the important aspects of women entrepreneur such as identifying factors influencing performance of women entrepreneur in emerging economies including India, and to develop a reliable and valid scale for measuring performance from women entrepreneurs’ perspective, which will help to explain the phenomena of entrepreneurship among women by using a holistic approach.

In-depth literature reviews were conducted to identify manifest item measuring the latent scale dimensions. Semi-structured interview with women entrepreneurs also contributed toward item generation. A total of 1,032 valid and usable questionnaires were used for the final statistical data analysis. Exploratory factor analysis (EFA) also conducted to confirm factors-item composition considered for the study.

A final scale comprising six dimensions of entrepreneurial performance has been developed. These dimensions are business environment, motivation (pull/push), training and skill development, networking and market information, socio–cultural and financial. Dimensions are reflecting perception of women entrepreneurs on performance. Psychometrically properties of the proposed scale were tested and the model fitness was established through CFA.

The proposed scale will be beneficial for both existing and nascent entrepreneurs toward gaining awareness regarding what accounts for their performance enhancement in the respective ventures undertaken. At the same time, the finding carries implications for regulatory bodies and policymakers as well, which are engaged in drafting guidelines catering to the development of women entrepreneurship in respective economies.

The authors believe that the proposed scale offers superior ability to explain factors that affect the performance of women entrepreneurs in emerging economies such as India.

The unique nature, complicated design, hazardous activities and complex work environment involved in the high-rise construction projects constitute significant risks worldwide. In the Indian context, construction safety management in high-rise construction projects is crucial due to the presence of significant occupational risks and hazards at the workplace. Occupational hazards lead to accidents that severely affect human health and result in substantial financial losses.

The study aims to present a hybrid risk assessment method (RAM) and the technique for order of preference by similarity to ideal solution (TOPSIS) method to detect and evaluate occupational risks in different construction activities through a questionnaire survey approach.

Aroundsix types of construction activities and corresponding ten risks are identified and evaluated during the study. Based on the calculation of risk scores, the findings imply that “roof work activities,” “finishing work,” “mechanical, electrical and plumbing work (MEP)” are hazardous construction activities, while, among the corresponding ten risks, “workers falling from height” is the most prominent risk among the majority of activities. Other risks include “risk due to fire and electric accidents” and “struck by falling objects,” which are the major risks in high-rise construction projects.

Theoriginality of the paper lies in its activity-based risk assessment and ranking of hazards in high-rise construction projects. By integrating theoretical insights with practical applications, the study attempts to enhance occupational safety and reduce accidents on construction sites, thereby significantly contributing to both academia and industry practices.

This chapter investigates pandemic impact in a variety of industries, including food, travel, education and pharmaceuticals, considering elements such as isolation, emotions and social influences, which can lead to panic buying. The goal of this research is to ascertain how COVID-19 influences the buying decisions of customers. Additionally, the study aims to identify consumer consumption trends for a spectrum of products and services, including fast-moving consumer goods (FMCGs), entertainment, pharmaceuticals, travel and tourism. A comprehensive review of different research papers is done to conclude. The papers considered are from 2020 to 2022. Different keywords are used to search the relevant papers such as ‘pandemic’, ‘COVID-19’, ‘behaviour’, ‘impulsive’, etc. TCCM framework has been applied while reviewing the articles. During the isolation, consumer behaviour moved to panic buying and stockpiling, favouring organic basics, and encouraging e-commerce, as well as economic nationalism favouring made-in-India products. This study helps in knowing the reasons for change in consumers' behaviour for different products and services due to unforeseeable situations like COVID-19 and can find possible ways to deal with them. Business owners learn about changing consumer purchasing behaviours and how to modify products. The government can change policies to improve medical tourism and social protection.

This study aims to identify specific human resource management (HRM) practices to overcome destructive deviance among public sector employees. Further, this study aims to rank the identified HRM practices in the order of their impact on destructive deviance.

This study uses the technique of both inductive and quantitative content analyses to identify specific HRM practices and rank them in the order of their impact on destructive deviance. Data was collected from 30 executives employed in Indian public sector via unstructured interviews. Also, Krippendorff’s alpha reliability estimate was calculated to establish the reliability of the content analysis, which was 0.80.

This study identified ten HRM practices (human resource planning, job design, training and development, reward system, employment security, career advancement opportunities, performance management, employee participation, monitoring and control, work–life balance) in overcoming destructive deviance among public sector employees. Furthermore, based on their frequency distribution, the HRM practices were classified into three categories, i.e. most significant, significant and least significant.

Based on the categorization of HRM practices into three categories, this study implies that to discourage employees from exhibiting deviant behaviour, organizations should focus on the implementation of most significant HRM practices followed by significant and least significant practices. HRM practices that function as a coherent and synergistic system act as a win-win strategy benefitting both employees and the organization.

In spite of the rising research interest in the deviant behaviour in the literature, still there is a dearth of research pertaining to the association between HRM practices and destructive deviance. Moreover, there is no consensus among researchers concerning the specific HRM practices that should be incorporated in the overall construct. Guided by these gaps in the literature, this study identifies ten HRM practices to overcome destructive deviance among public sector employees using qualitative analysis.

This research sought to examine the differential effect of chatbot banking artificial intelligence (AI) on consumer experience in the banking industry. A positivist paradigm was adopted to sample 389 consumers who were previously exposed to chatbot banking in Zimbabwe. A causal research design was employed whilst a quantitative approach was followed. In analysing data, the research study applied the structural equation modelling (SEM) technique. The authors found that chatbot banking significantly improves customer experience (CX) in the banking industry. Reliability and responsiveness of the chatbot need to be enhanced for effective improvements in CX. A need was also identified to enhance CX through the development of an ease-to-use chatbot which is embedded in everyday messaging applications of consumers. A significant association was also found between perceived benefits of chatbot banking and CX. This study informs the development of competitive advantage by banks and other related companies through AI-based CX management strategies. In times of pandemics and beyond, chatbot banking can be very instrumental in improving CX.

The present study attempts to analyze if personal values, namely collectivism, materialism and environment attitude, have an impact on attitude to invest in socially responsible investments (SRIs). Second, it examines the impact of attitude on SRI intention which may further be moderated by religiosity beliefs. Third, the moderated relation is further tested separately for two groups of gender.

The study uses cross-sectional data collected from 534 north Indian retail investors. PLS–SEM has been applied in this study using the latest version of SmartPLS (v. 3.2.9) software to examine the complex model of moderation analysis.

The results of PLS–SEM suggested that collectivism, materialism and environment attitude significantly influenced attitude which further led to SRI intention. The moderating role of religiosity was found to be significant on the attitude–intention relationship. Further, a significantly higher moderation of religiosity was found in females as compared to males.

Besides collectivism, materialism and environmental attitude, there could be other facets of an investor's personality that were not considered in the study. The present research was conducted in India, and Hofstede (1980) calls Indian culture to be collectivistic in nature, where the influence of pro-social and environmental concern on SRI intention is bound to be high; thus, findings need to be tested further at the global level.

Companies and financial institutions can enlarge their investor base for socially responsible products by propagating tailor-made financial products that can keep the personal values of investors intact in addition to providing satisfactory financial returns. Female investors can be encouraged to invest in SRI by promulgating the aspects of morality and ethics in their marketing and promotion strategies; eventually, this will lead to an upsurge in the proportion of female investors in financial markets.

The present study contributes to the growing body of research in the area of sustainable investments. This research has contributed to building and testing a moderation analysis of attitude–intention relationship with respect to SRI by adding investor's religiosity beliefs and his/her gender as moderating variables to better comprehend the relationships under study.

The purpose of the paper is to highlight the differences in literacy and schooling attainment among the scheduled tribe women in India.

The paper uses data from the Census of India, Department of Education in India, and National Human Development Report prepared by the Government of India.

The high status of women among the tribal groups in the northeastern states has important effects on the literacy rates, enrollment ratios and dropout rates of girls in that region. High‐poverty rates pose to be significant obstacles in attaining literacy and education among tribal women in India. However, large differences in literacy rates in the various states in India show that social and cultural norms, proximity to the mainstream Hindu culture, and the role of women are also important determinants in achieving literacy among tribal women.

Literacy is considered to be an important tool for improving the status of women among the scheduled tribes. Aggregate statistics often paint a dismal picture of the low‐literacy rates and schooling among the scheduled tribe women. This paper shows that such statistics fail to capture the different trends in literacy rates and value placed in schooling among the various tribal groups in India. Differences in economic, social, and cultural backgrounds among the various tribes need to be emphasized in order to understand the differential nature of investments in literacy rates and schooling among tribal women in India.

The purpose of this study is to investigate the relationship between employees’ experience of interpersonal conflict and their engagement in knowledge hiding, according to a mediating effect of their relatedness need frustration and a moderating effect of their narcissistic rivalry.

The tests of the hypotheses rely on three-wave, time-lagged data collected among employees in Pakistan.

A critical reason that emotion-based fights stimulate people to conceal valuable knowledge from their coworkers is that these employees believe their needs for belongingness or relatedness are not being met. This mediating role of relatedness need frustration is particularly salient among employees who are self-centered and see others as rivals, with no right to fight with or give them a hard time.

The findings indicate how organizations might mitigate the risk that negative relationship dynamics among their employees escalate into dysfunctional knowledge hiding behavior. They should work to hire and retain employees who are benevolent and encourage them to see colleagues as allies instead of rivals.

This research unpacks the link between interpersonal conflict and knowledge hiding by explicating the unexplored roles of two critical factors (relatedness need frustration and narcissistic rivalry) in this relationship.