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Due to the recent disruptions caused by COVID-19, global supply chains are stress tested. The affected supply chains have interfered with market tonnage prices for the yield of perishable products like mangoes that are highly dependent on their quality. This research, through empirical findings, thus determines and comprehends the factors influencing mango quality (size).

A framework is developed for finding the potential factors of quality building on the previous literature and studies on the available topic. The data collection included face-to-face interviews comprising 240 farmers, hired managers and preharvest contractors in India's Jangaon, Rangareddy and Yadadri Bhuvanagiri districts of Telangana state. The data analysis is done using multiple regression, and the outcomes form the basis of the design of the experiments model.

The empirical insights support that the quality of mango is affected by factors such as the number of picking cycles, the cost of fertilizer, the variety of fertilizers used, the variety of pesticides used and pesticide application frequency. The direct implications are the benefit to farmers in improving mango quality and maximizing profit per yield cycle.

To the best of the authors’ knowledge, the first research that has specifically focused on holistically improving the quality(size) of mangoes.

The findings contribute to the perishable supply chain literature, specifically to the mango study, to comprehensively showcase the factors impacting the quality of mangoes and provide guidance to farmers regarding orchard practices.

This study aims to investigate the impact of information and communication technology (ICT) investment on the micro, small and medium enterprises (MSME) profitability in the Indian context.

This study used a framework based on the ICT investment and firm size, measuring the impact on profit before depreciation, interest, tax and amortisation of MSME by taking a random sampling of 300 Indian MSME manufacturing firm’s secondary data from the Prowess database. This framework was analysed using the design of experiment (DoE) technique.

The study showed that ICT investment has a significant positive relationship with profitability. This study examines the different ICT investment levels to predict investment strategies and fine-tune profit targets. The critical finding is that ICT investment maximises profit at one million rupees. This discovery aids MSME leaders’ sustainable business decision-making.

This study has an explicit limit to the Indian context, where the firm requirements of countries are different, and these findings need to be validated with many operating variables and applied to more firms with more data. Even so, as a theoretical implication, this study took a novel approach to ICT adoption (through ICT investment) in the Indian MSME sector with guiding levels of ICT investment for each type of firm (i.e. micro, small and medium). This study opens new avenues for investigating researchers and stakeholders by exploring other factors responsible for ICT adoption.

This study uniquely provides practitioners with the functional level of ICT investment for MSMEs in the Indian context. These finding guides top management to make strategic ICT adoption decisions with information symmetry. At the same time, these findings suggest financial institutions astern their credit programme to provide credit for ICT investment in MSMEs.

This study highlights the value of ICT as a practical resource for business owners that significantly makes MSMEs more informed and profitable, thus creating more jobs and incrementing the country’s gross domestic product (GDP).

This study offers unique empirical findings on how decision makers in MSMEs maximise profits through optimal ICT investment levels depending upon the firm size in an emerging economy like India. There is evidence in the study to conclude that ICT is a need of MSME and has implications for firm performance.

To gain understanding of value chain (VC) agility in terms of value‐adding processes, this paper seeks to present a VC agility framework and then to develop the involved constructs.

A framework of VC agility and its theoretical underpinnings is presented. Within the framework, drivers and determinants of VC agility are identified as characteristics enabling flexibility within key components of a firm's VC. Also, it is posited that information technology (IT) capability impacts the levels of achieved flexibility and agility, and that VC agility impacts business performance.

From scale development, key determinants of flexibility within VC activities are identified. Correlation analysis suggests that firms derive higher levels of agility through integrating information across the VC rather than within VC activities. Firms with flexibility in their VC functions enjoy higher levels of ensuing VC agility and on‐time delivery, ROA, and market share.

While the sample size is adequate for scale development, it is not adequate for structural equation modeling since the guideline is to have at least five survey responses for every item measure. Thus, insights were gleaned from initial analysis based on correlations.

Managerial insights concerning key value‐adding activities that build flexibility and ultimately agility are identified.

To the best of one's knowledge, this work is the first to operationalize VC agility from the perspective that agility is derived from flexibility in the VC processes and is enabled by IT integration. From exploratory research, insights are gained on how VC agility links with business performance.

Warranty service plays a critical role in sustainability and service continuity and influences customer satisfaction. Considering the role of social networks in customer feedback channels, one of the essential sources to examine the reflection of a product/service is social media mining. This paper aims to identify the frequent product failures through social network mining. Focusing on social media data as a comprehensive and online source to detect warranty issues reveals opportunities for improvement, such as user problems and necessities. This model will detect the causes of defects and prioritize improving components in a product-service system based on FMEA results.

Ontology-based methods, text mining and sentiment analysis with machine learning methods are performed on social media data to investigate product defects, symptoms and the relationship between warranty plans and customer behaviour. Also, the authors have incorporated multi-source data collection to cover all the possibilities. Then the authors promote a decision support system to help the decision-makers using the FMEA process have a more comprehensive insight through customer feedback. Finally, to validate the accuracy and reliability of the results, the authors used the operational data of a LENOVO laptop from a warranty service centre and classifier performance metrics to compare the authors’ results.

This study confirms the validity of social media data in detecting customer sentiments and discovering the most defective components and failures of the products/services. In other words, the informative threads are derived through a data preparation process and then are based on analyzing the different features of a failure (issues, symptoms, causes, components, solutions). Using social media data helps gain more accurate online information due to the limitation of warranty periods. In other words, using social media data broadens the scope of data gathering and lets in all feedback from different sources to recognize improvement opportunities.

This work contributes a DSS model using multi-channel social media mining through supervised machine learning for warranty-service improvement based on defect-related discovery to unravel the potential aspects of social networks analysis to predict the most vulnerable components of a product and the main causes of failures that lead to the inputs for the FMEA process and then, a cost optimization. The authors have used social media channels like Twitter, Facebook, Reddit, LENOVO Forums, GitHub, Quora and XDA-Developers to gather data about the LENOVO laptop failures as a case study.

There is currently a debate between NGOs and academia on the effectiveness of training microcredit recipients. One side suggests that merely supplying credit will stimulate entrepreneurial business. The other side proposes that training microcredit recipients in business skills will improve business performance and probably have other important effects. This study was undertaken with the cooperation Vietnam Women’s Union and PeaceTrees Vietnam. The purpose of this paper is to examine the effects of business training programmes for women microcredit recipients in rural areas of Vietnam.

Using a questionnaire administered to 120 women business owners in several communes in Quang Tri Province, data were collected in 2012 on their business training programmes, perceptions of their business performance, motivation, factors for success, and several other indicators.

The findings suggest that business training can improve microenterprise performance and has a number of other positive results, such as increasing motivation, success, and perceptions of entrepreneurs.

The research is limited by the nature of the sample and sample size. Future research should focus on women entrepreneurs in other parts of Vietnam, other developing countries, and on male entrepreneurs, to help understand differences between regions, countries, and gender.

This paper provides empirical evidence to support the argument that business training is effective in improving the performance of microenterprises.

To cope with the existing pandemic situation and to be organizationally responsive, firms need to be strategically flexible, where they need to develop dynamic capabilities (DCs) by continuously reconfiguring their resource base. To address such challenges, firms heavily rely on information and communication technologies (ICT) because of advancement in disruptive technologies. This study aims to explore techniques used by higher education institutional (HEI) leaders to successfully address challenges posed by global disruption, i.e. COVID-19 with the help of advanced ICT software such as Zoom, Google Meet and Microsoft Teams.

A qualitative approach was adopted to explore strategic factors such as strategic flexibility (SF) and DC that disclose shortcomings in the current extant literature. A total of 15 interviews were conducted with heads of departments of HEIs in the United Arab Emirates. Data were analyzed using NVivo software.

The findings suggested three dimensions of SF (resources, operational and collaborative) and four dimensions of DC (strategic planning, innovative, adaptability and technological) for firms to adopt to be strategically flexible, where DC serves as building blocks of SF.

This research provides a framework as an avenue for future researchers and practitioners on how to strategically manage their resources and be strategically flexible in turbulent environment such as pandemics. Theory-based investigations on strategic capabilities and DC from resource-based perspective are still under-researched, emphasizing the need for theoretically based research on strategic responsiveness, especially during the times of environmental complexities such as COVID-19 pandemics. This research enriches strategic management research by exploring the important antecedents of organizational responsiveness, including SF and DC together with the support of human factor, i.e. leadership qualities of HEIs managers. This study, to the best of the authors’ knowledge, is among the first to systematically explore main dimensions of DC and SF based on the resource-based theory of strategic management in the Middle Eastern context.

This paper aims to focus on micro-level women entrepreneurs from a developing country, India (n = 180), their educational and developmental needs and impact on their business performances and growth.

Thirty participants (1:10 ratio) were selected from each cohort/location based on prescribed eligibility criteria covering various backgrounds and industry profiles from six cohorts across India.

It was found that entrepreneurship education and development programs resulted in revenue growth and also employment generation, thereby impacting society at large. This study also demonstrated improvement of self-confidence levels and strategic thinking by the women entrepreneurs, which benefited their business performances and growth.

Because this study is first of its kind from a developing country like India, it also contributes to entrepreneurship literature by examining and confirming employment generation and thereby impacting society at large (multiplier effects). This study is also unique in the context of the developing world in explicating the impact of education programs and its impact on revenue growth and profitability, which is considered as a major factor for economic development.

This is purely an original study carried out in India.

The purpose of the paper is to find the relationship between education and training and performance of women entrepreneurs (WEs). The present study found that entrepreneurial education stimulates women to take up entrepreneurship as a career option.

Also the findings of the study show that WEs lack the time for upgrading their skills and also need training for developing their skills. The methodology includes empirical study, collection of data and analysis with the help of SPSS, correlation method to find the relationship between education and training of WEs.

Getting appropriate education helps them with finding sources of innovative ideas and converting these ideas into enterprises. The study also revealed that due to constraints in the time availability and resources, WEs find it hard to train themselves and equip themselves with the recent developments in technology and the market.

Moreover, the study findings suggest that providing them with professional training and skill development programme would help the women students to launch their businesses. The data colleted is only from India.

The paper also discusses the managerial implications and research implications of such a study. The study shows that there is a significant relationship between providing entrepreneurial platform and education to the women to start up their ventures.

The study findings suggest that there is a lack of societal support for women entrepreneurship. Entrepreneurship is still expected to be a male-dominated field, and it may be difficult to gain the society's support for WEs. The women entrepreneurship can also provide a tool for social upliftment for below poverty line people.

Moreover, the study findings suggest that providing them with professional training and skill development programme would help the women students to launch their businesses. The paper also discusses the managerial implications and research implications of such a study.

Researchers have been trying to identify different psychological attributes which influence entrepreneurial intention (EI) and role of entrepreneurial education and training programs to develop these attributes among women. Therefore, the purpose of this study is twofold: firstly, to evaluate the difference among psychological attributes before and after an entrepreneurial education and training program. Secondly, to examine the effects of psychological attributes on EI among female students in Saudi Arabia.

A detailed program was designed with the combination of entrepreneurial education and training program throughout a 14-week semester. Data were collected using a structured questionnaire from 310 female university students studying in a Saudi university and participated in this program. SPSS, version 20, was used to analyze the data.

Entrepreneurial education and training programs based on active learning and learner-centered approaches play an important role to significantly improve the level of psychological attributes and EI of female students. Furthermore, findings of this study also suggest that psychological attributes (training retention, self-confidence, tolerance of ambiguity, innovativeness and achievement motivation) positively influence EI.

Previous studies only focused on relationship testing among psychological attributes and EI. This research proposes strategies to design entrepreneurial education and training program to improve psychological attributes and EI which can be considered practical version of EntreComp conceptual model.

The purpose of this study is to determine the enablers of the quality of work life (QWL) of employees working in the Garment industries.

The study was carried out in a fivefold step. In the first step, the enablers of QWL were identified through an exhaustive literature survey, in the second step identified vital few components through Pareto analysis. Then the third step was followed by exploratory factor analysis (EFA) to further, to identify the precise components and validate the same using confirmatory factor analysis in fourth step. The final step included interpretive structural modeling and Cross-Impact Matrix Multiplication Applied to Classification analysis to model the validated components and determine the interrelationships and linkages.

Predominant QWL enablers of employees working in the garment industries are training and development, satisfaction in job, compensation and rewards, relation and co-operation, grievance handling, work environment, job nature, job security and facilities.

In this study, the interpretive structural model is designed based on the opinion of the experts who are working in the garment industry considering the responses from employees in garment sectors. The framework can be extended further to the other sectors.

In future, the researchers in QWL may develop a model to quantify the level of employees’ QWL who are working in different sectors. Enablers of QWL are essential, and based on this further statistical analysis can be carried out. This study will provide limelight to the researchers in choosing the valid and reliable set of enablers for the empirical studies. Organizations can get benefit by implementing the outcome of this research for the enhancement of the QWL of employees.

The study was carried out in 133 garment industries where 851 workers constituted the final valid responses that were considered for analysis. The outcomes from the study help administrators, policy and decision-takers in taking decisions to enhance QWL.