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Despite favourable agro-ecological conditions and being the largest international mango producer, India still struggles to build competence in sustainable mango production and post-harvest. The purpose of this paper is to contribute to the literature on innovation capacity development, and to explore aspects of innovation systems ideas in the analysis of mango production and marketing by small-scale farmers in the South Indian state of Andhra Pradesh.

This paper uses case study research methods to an analysis of the sector ' s recent history combined with an empirical account of systems thinking on integrating technology supply chains and commodity supply chains.

Findings suggest that the case of mango production and post-harvest in the Krishna district is a dismal one and the remedial actions to strengthen mango innovation systems in the district relate to aspects of capacity development to promote upward spiral of learning and innovation, and involve multistakeholder processes to integrate the supply chains of technologyand commodity.

This paper, with its aim to contribute to the literature on innovation capacity development, brings together conventionally distinct bodies of literature on strengthening innovation systems and developing stakeholder capacity. The value of this paper lies on how it addresses technology supply and commodity supply issues in the analysis of competence challenges to strengthening mango innovation systems performance.

This study aims to examine whether corporate social responsibility (CSR) of Islamic banking is delivering financial returns or otherwise enhancing the cost.

The methodology of this study includes the content-analysis approach with aid of the CSR disclosure index, and it deploys the partial least squares regression to examine the CSR-financial performance relationship. Regarding CSR disclosure and financial measures, this study takes the data from the annual reports of Islamic banking of Pakistan, from the year 2003 to 2017.

The results of this study indicate that there is a significant positive relationship exists between CSR and financial performance of Islamic banks, consistent with the instrumental-stakeholder theory. These results imply that Islamic banks, which ensure that CSR is practiced extensively, and aim to positively affect their stakeholders, perform well. Hence, the CSR engagement by Islamic banks yields instrumental returns rather it is a cost.

Islamic banks of Pakistan must work on a better CSR policy, it would enhance the reputation of Islamic banks, on the other hand, it would also increase their capabilities to cope with future reputation damage and negative news, thus it would protect and secure the financial results. In addition to these, investors of Islamic banks must also look at the social and ethical engagements of Islamic banks of Pakistan, while making investment decisions.

In general, there is a dearth of research in the domain of CSR-financial performance regarding Islamic banking. This is one of the studies which contributes to this area.

This paper begins with a challenge to explore the scope and dimensions of corporate social responsibility (CSR) in Islamic banking and design a CSR disclosure index, which may gauge the level of CSR disclosure in Islamic banking.

It adopts a two-fold approach to develop the CSR disclosure index for Islamic banking, such as “identification” and “prioritization.” In the ambit of identification, it relies on the existing literature related to CSR and Islamic banking. However, it undertakes analytical hierarchy process (AHP) method for prioritization through the sample of 104 experts related to Islamic banking of Pakistan.

It concludes the CSR index for Islamic banking contains five dimensions, including 79 items across 20 sub-dimensions. The results of AHP indicate that the CSR dimensions are important for Shariah governance, employee, community, customer and environment. Moreover, within dimensions, the most important sub-dimensions are Shariah compliance, customer service and quality, green investing/banking, customer relationship, training and development and poverty alleviation.

The CSR disclosure index of this study has important implications for academicians, such as it paves the ways for further investigations and practical usage of index to gauge the level CSR disclosure of Islamic banking. Moreover, it delineates the spectrum of responsibilities for managers of Islamic banking under the domain of CSR.

The proposed CSR disclosure index is comprehensive and stresses on the social responsibility of Islamic banking toward stakeholders. In nutshell, this study offers what is expected from the practitioners of Islamic banking in the domain of social responsibility.

This research aims to investigate the direct and indirect (via creative self-efficacy [CSE] and thriving) effects of regulatory focus (RF) on employee intrapreneurship (EI) in Pakistan’s small- and medium-sized enterprises (SMEs).

A time-lagged (six weeks apart) design is used to collect data through self-administered questionnaires. The researchers retrieved 492 usable responses from frontline employees working in SMEs.

The results showed the positive direct and indirect (via CSE and thriving) effects of promotion focus on EI. As expected, the results showed negative direct and indirect effects of prevention focus on intrapreneurship. The follow-up analysis revealed the mediating effect of CSE is stronger for the promotion focus and intrapreneurship, and the mediating effect of thriving is stronger for prevention focus and intrapreneurship.

This study reveals the importance of RF facets as important predictors of EI. The study highlights the importance of intrapreneurship in emerging economies, but expecting such behavior from every employee is a fallacy. Thus, decision-makers in organizations can nurture prevention-focused employees to engage in intrapreneurship.

This is a pioneer study to include RF (promotion focus and prevention focus) in an emerging country – Pakistan – to reveal its significance in EI. It establishes CSE and thriving as mediating mechanisms between RF and EI for the first time to offer new insights into theory and practice.

This study aims at investigating the indirect effect of soft skills on career engagement through the role of psychological capital (PsyCap) in different age groups. The social cognitive theory (SCT) and job demands-resource model (JD-R) were employed to explain the effect of perceived skill mastery on PsyCap and career engagement.

The data were collected from 707 high school students, 150 university students and 165 employees using a three-wave data collection technique. This study measured soft skills, PsyCap and career engagement at different age groups (i.e. high school students, university students and employees). The data were analysed using a moderated-mediation technique.

The results showed that soft skills positively influenced PsyCap and eventually increased career engagement in all age groups. However, the effect was stronger for students (both in high school and university) than employees in the workplaces. Unlike most students, employees related soft skills to performance. Regardless of the effect on performance, students would be more likely than employees to perceive soft skill mastery as a source of efficacy.

First, the education system should direct more attention to developing students' non-cognitive skills. Second, people should understand that their career advancement continues in the workplace context. Organizations can foster employees' soft skills by providing more opportunities to develop new skills.

This study sheds light on the importance of soft skills beyond academic and workplace performance. This study is among the few empirical investigations that reveal career engagement factors across different career development stages.

COVID-19 has occurred in more than 150 countries and causes a huge impact on the health of many people. The main purpose of this work is, COVID-19 has occurred in more than 150 countries and causes a huge impact on the health of many people. The COVID-19 diagnosis is required to detect at the beginning stage and special attention should be given to them. The fastest way to detect the COVID-19 infected patients is detecting through radiology and radiography images. The few early studies describe the particular abnormalities of the infected patients in the chest radiograms. Even though some of the challenges occur in concluding the viral infection traces in X-ray images, the convolutional neural network (CNN) can determine the patterns of data between the normal and infected X-rays that increase the detection rate. Therefore, the researchers are focusing on developing a deep learning-based detection model.

The main intention of this proposal is to develop the enhanced lung segmentation and classification of diagnosing the COVID-19. The main processes of the proposed model are image pre-processing, lung segmentation and deep classification. Initially, the image enhancement is performed by contrast enhancement and filtering approaches. Once the image is pre-processed, the optimal lung segmentation is done by the adaptive fuzzy-based region growing (AFRG) technique, in which the constant function for fusion is optimized by the modified deer hunting optimization algorithm (M-DHOA). Further, a well-performing deep learning algorithm termed adaptive CNN (A-CNN) is adopted for performing the classification, in which the hidden neurons are tuned by the proposed DHOA to enhance the detection accuracy. The simulation results illustrate that the proposed model has more possibilities to increase the COVID-19 testing methods on the publicly available data sets.

From the experimental analysis, the accuracy of the proposed M-DHOA–CNN was 5.84%, 5.23%, 6.25% and 8.33% superior to recurrent neural network, neural networks, support vector machine and K-nearest neighbor, respectively. Thus, the segmentation and classification performance of the developed COVID-19 diagnosis by AFRG and A-CNN has outperformed the existing techniques.

This paper adopts the latest optimization algorithm called M-DHOA to improve the performance of lung segmentation and classification in COVID-19 diagnosis using adaptive K-means with region growing fusion and A-CNN. To the best of the authors’ knowledge, this is the first work that uses M-DHOA for improved segmentation and classification steps for increasing the convergence rate of diagnosis.

This paper aims to investigate the level of compliance with, and disclosure of, corporate governance best practice recommendations and the firm- and country-level factors that can explain discernible differences in the level of compliance with, and disclosure of, corporate governance best practice recommendations in a number of Middle Eastern and North African (MENA) countries.

The authors use the widely used content analysis technique to examine the level of compliance with, and disclosure of, corporate governance best practice recommendations in a sample of listed corporations in MENA countries. In addition, the authors use the ordinary least square multiple regression analysis technique to examine the firm- and country-level antecedents of the level of compliance with, and disclosure of, corporate governance best practice recommendations. The findings are generally robust to different types of firm- and country-level factors, alternative measures and potential endogeneity problems.

The findings of this study are two-fold. First, the level of voluntary compliance with, and disclosure of, corporate governance best practice recommendations among MENA listed corporations is low and differs substantially across firms. Second, the evidence suggests that firm- and country-level factors, including religiosity, national governance quality and macroeconomic factors, have a positive and significant impact on voluntary compliance with, and disclosure of, corporate governance best practice recommendations.

To the best of the authors’ knowledge, this paper is the first to examine both the potential firm- and country-level factors affecting voluntary compliance with, and disclosure of, corporate governance best practice recommendations among MENA listed corporations from a neo-institutional theoretical perspective. The results of our study provide regulators and policymakers with the impetus to encourage greater efforts towards pursuing reforms that seek to improve national governance quality, economic environment and positive religious practices.

Despite the rather adequate physical and human resources available to Iranian state-owned enterprises (SOEs), they have proved not only unproductive and unprofitable but also corrupt in cases due to their corporate governance (CG) systems. This study aims to identify the most important challenges faced within designing, implementing and operating such systems in Iranian SOEs.

A judgmental sampling technique was adopted for the purposes of the present qualitative study to select a heterogeneous group of interviewees in terms of experience and expert knowledge in CG and SOEs. Using 28 semi-structured interviews and the thematic analysis methodology within an exploratory approach, the themes/challenges were extracted from the data thus collected that were subsequently analyzed and explicated.

The 16 challenges derived from the data set were subsequently classified into the four categories of “general assembly deficiencies”, “contextual issues of ownership”, “board deficiencies” and “external managerial constraints”.

This study aims to provide insights into policy-making systems at both national and international levels to gain a better understanding of the contextual factors that could be exploited toward developing and/or reforming CG codes. To improve SOEs, this study also suggests four main solutions to the CG challenges faced within Iran and similar centralized economic planning systems.

The literature on the topic indicates that while a few theoretical and empirical studies have been conducted on CG of SOEs, no study has ever been conducted on similar Iranian cases. The present study provides ample empirical evidence from the CG systems in a state-controlled and centralized economic system to offer new insights into the comparative CG, especially in a developing country like Iran, where the government is the major player in the economy.

The case discusses Islamic Banking Principles and Products (Banking), Business Strategy for Niche Markets (Strategic Management) and Segmentation and Marketing Strategy (Marketing Management).

Undergraduate Graduate Training – Executives at junior level.

This case is about the dilemma faced by Azhar Mehmud, a newly recruited Marketing Manager, Islamic Products (MMIP) in Bank Islam on six-month probation. Prior to Bank Islam, Azhar had an MBA degree from the UK and about 15 years of experience of business development in a multi-national bank in Indonesia. Looking at his experience, he was awarded to promote Islamic banking (IB) products in Malaysia where the competition was very intense. After his interactions with customers for about six to seven months, he prepared a report for his boss, General Manager, Consumer Banking (GMCB). In this report, he had summarized the challenges of marketing IB products in a market meant for conventional banking. When he presented the report to GMCB, he met with unfavorable reactions. GMCB was not convinced that IB products had any competition from conventional banking. He gave Azhar one additional month to either revise his thinking or quit the organization.

The expected learning outcomes are as follows: to enhance the awareness of IB products, principles and differences from the conventional banking products; to introduce the concept of business strategies for niche markets; to make students realize the importance of segmentation in view of niche market like IB.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Organizations today strive to differentiate themselves from others with the help of various tools. Aaker’s brand personality model is one of them. It comprises five components namely, sincerity, excitement, sophistication, competence and ruggedness. This model has been tested and supported by various scholars in the past. Similarly, it also attracted a lot of criticism especially in terms of generalizability across countries and cultures. The purpose of this paper is twofold: first, to study Aaker’s model from an Islamic perspective; second, considering the dearth of brand personality knowledge in the services sector, to develop Islamic Banks’ Brand Personality (IBBP) model.

To propose IBBP model, traits in Aaker’s model have been investigated in the light of selected Quranic verses and sayings of Prophet Muhammad (ahadith). Later on, content validation was conducted as a pilot study with experts from the relevant fields.

Findings exhibit that Quran and hadith clearly elaborate and support majority dimensions of the existing model. Importantly, three new dimensions, namely, trustworthiness, justice and Shariah compliance, were added to develop a comprehensive IBBP model. Once the dimensions of IBBP model were finalized, the underlying items were content validated from 12 experts. Most of the items were approved; some were recommended for amendments and a few items were eliminated.

This research contributes to the branding as well as bank marketing literature as it is the first Islamic banks’ brand personality framework. With the help of IBBP model, Islamic banks can create a better brand image, use advertising strategies effectively and ultimately retain existing and attract more potential customers.

This research elaborates the personality traits of Muslim consumer market. Following IBBP model, financial needs of Muslim consumer market can be catered effectively.

The IBBP model being first of its kind is significant for Islamic banking industry as it reflects dimensions that are supported by the Quran and hadith, and therefore suits Muslim customer market.