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Grounded in the Social Exchange theory, this study focuses on the perception of digital leadership and innovative work behaviors. It also examines the complex effects of leader-member exchange, learning orientation, and innovation capabilities.

We undertake a quantitative approach using a two-wave longitudinal field survey of 440 employees and managers from various backgrounds working in the automobile industry in France.

The findings based on Structural Equation Modeling reveal that the perception of digital leadership leads to innovative work behavior while leader-member exchange moderates between the perception of digital leadership and learning orientation. The findings also support the mediating roles of learning orientation and innovation capabilities.

The study contributes important policy suggestions, raises queries for additional investigation, and suggests theoretical and practical implications for leadership and organizational environmental factors to foster innovative work behaviors in organizations.

This research study investigates the factors that influence e-customer satisfaction, e-trust, perceived value and consumers repurchase intention in the context of the B2C e-commerce segment. It investigates the mediation effect of e-customer satisfaction, e-trust and perceived value on repurchase intention. It also examines the moderating role of prior online experience.

Based on the adapted questionnaire, pre-recruited enumerators collected the data from five leading business universities of Karachi. They distributed 425 questionnaires and received 415 questionnaires. The study has used Partial Least Square-Structure Equation Modeling (PLS-SEM) technique for data analysis.

We have tested 20 hypotheses, of which our results do not support five, including two direct, two mediating. Our results support all the direct hypotheses except the following two: (1) delivery service affects e-satisfaction (2) customer services quality effect on trust. We did not find support for the following two mediating hypotheses (1) e-satisfaction mediates delivery services and repurchase intention, (2) service quality mediates customers' service quality and repurchase intention. Our results do not support one moderating relationship. Prior online experience moderates e-perceived value and repurchase intention.

This research provides valuable information to the online retailers of B2C e-commerce, which can help them make strategies based on their consumers' behavior and encourage them to make repeat purchases from online retailing stores. It allows future researchers to replicate the model in cross-cultural studies in different product categories.

We have examined the moderating effect of prior online experience between (e-satisfaction, e-trust and perceived value) on the repurchase intention.

Innovative health-promoting approaches of the era have verified phytoceutics as one of the prime therapeutic tools to alleviate numerous health-related ailments. The purpose of this paper is to probe the nutraceutic potential of ginger flowers and leaves against hyperglycemia.

The aqueous extracts of ginger flowers and leaves were observed on Sprague Dawley rats for 8 weeks. Two parallel studies were carried out based on dietary regimes: control and hyperglycemic diets. At the end of the experimental modus, the overnight fed rats were killed to determine the concentration of glucose and insulin in serum. The insulin resistance and insulin secretions were also calculated by formulae by considering fasting glucose and fasting insulin concentrations. Furthermore, the feed and drink intakes, body weight gain and hematological analysis were also carried out.

In streptozotocin-induced hyperglycemic rats, the ginger flowers extract depicted 5.62% reduction; however, ginger leaves extract reduced the glucose concentration up to 7.11% (p = 0.001). Similarly, ginger flowers extract uplifted the insulin concentration up to 3.07%, while, by ginger leaves extract, the insulin value increased to 4.11% (p = 0.002). For the insulin resistance, the ginger flower showed 5.32% decrease; however, the insulin resistance was reduced to 6.48% by ginger leaves (p = 0.014). Moreover, the insulin secretion increased to 18.9% by flower extract and 21.8% by ginger leave extract (p = 0.001). The feed intake and body weight gain increased momentously by the addition of ginger flowers and leaves; however, the drink intake and hematological analysis remained non-significant by the addition of ginger parts.

Conclusively, it was revealed that leaves have more hypoglycemic potential as compared to flowers.

Pakistan had never been a place of serious and nuanced debate and contestation of politics of postcolonial critique, that is, the continuity of economic, political, and cultural dependency of newly independent countries (NICs) on ex-colonizers as pointed out by neocolonialism, dependency theory, and postcolonial theory, respectively. Instead, Pakistan is presented by extant liberal academic literature as a “failed nation” and a state dominated by the military and plagued by religious extremism. As opposed to this, through the literary and activists writings of Aziz-ul-Haq, this chapter will try to illustrate how cultural contestation of the nation-building project postindependence from British rule was a lot more complex and interesting in Pakistan. This was so because the nation-building project of Pakistan was, on the one hand, an amalgamation of Indo-Persian, Arab, Indian, and Western colonial and civilizational influences and, on the other hand, entailed suppression of resilient local and national cultures of its constituent nationalities developed over centuries. This was later expressed in ethno-nationalist politics. However, when it came to the politics of the marginalized in the late 1960s, there were important political, theoretical, and literary insights which caused a change in the direction of political practice in Pakistan, which paralleled the politics expressed by writers like Fanon and early Subaltern Studies influenced by the Naxal Movement in India. The contestation and confusion arising from this dialectic also entered Pakistan's literary and cultural sphere. This chapter not only tries to give a different postcolonial critique of the failure of nation-building project in Pakistan but, though at a preliminary level, is an attempt to separate the original postcolonial theory in its radical tradition from contemporary postmodern/poststructuralist postcolonial theory marked with pessimism and resignation.

By examining the impact of the day of the week during the COVID-19 pandemic and the subsequent economic recession, it is possible to provide insights into market behaviour during volatile times that can be furnished to investors and policymakers for informed decisions.

This study investigates the day-of-the-week effect on the Colombo Stock Exchange (CSE), with particular emphasis on the variations in this effect during the COVID-19 pandemic and the subsequent economic crisis.

The study applies the Exponential Generalised Autoregressive Conditional Heteroskedasticity (EGARCH) model, allowing for the evaluation of asymmetric responses to positive and negative shocks. The data span from January 2006 to December 2022 and are segmented into different periods: the entire sample, war and post-war periods, the COVID-19 pandemic and the economic crisis period, each reflecting distinct market conditions.

The study uncovers a significant day-of-the-week effect on the CSE. Mondays and Tuesdays typically show a negative effect, while Thursdays and Fridays display a positive impact. However, this pattern shifts notably during the COVID-19 pandemic, with all weekdays exhibiting significant positive impact, and varies further across different waves of the pandemic. The economic crisis period also shows unique weekday effects, particularly before and after an important political event.

This paper aims to provide a model that expands the technology acceptance model (TAM) by identifying aspects that influence consumers’ attitude and behavioral intention toward chatbots in the beauty care industry.

This study is based on an online questionnaire responded by 211 Generation Z individuals from Morocco. Data was collected based on a convenience nonprobability sampling technique, and a partial least squares-structural equation modeling was used to validate the model and test the hypotheses.

Perceived ease of use, perceived usefulness and subjective norms are significant influencers of the attitude toward chatbot. Perceived risk was not found to be influencing behavioral intention to use chatbot, and personality does not moderate the relationship between perceived ease of use and attitude.

This paper provides insights into the motives behind customers’ attitude and behavior toward chatbots in the beauty care industry and can be relied on as a guideline for implementations technology to boost sales and build strong relationship with customers.

This research provides new insight for retailers on the implementation of chatbots at the point of sale. Marketers and business owners should be aware of the usefulness and ease of use of technology for Generation Z and be able to interact with them on this basis in order to generate increased economic performance and better brand image.

The model extends the original TAM and introduces two new constructs, subjective norms and perceived risk, in addition to including personality as a moderating factor. The data was gathered from the under-studied region of North Africa.

This study aims to analyze the moderating roles of familiarity, generation and gender on the impacts of coronavirus fear-uncertainty on the destination image and visiting intentions post-COVID-19.

This paper seeks to provide evidence for a research conclusion by conducting a survey of 431 potential travelers of various nationalities who visited Egypt. The data were examined using structural equation modeling with a multigroup analysis and PROCESS MACRO.

The findings indicated that the links between coronavirus fear-uncertainty, the destination image and intention to visit were significantly different from one gender and generation group to another. Moreover, it showed that destination familiarity moderates the negative effects of coronavirus fear-uncertainty on the destination image and intention to visit.

To the best of the authors’ knowledge, this paper is the first to explore the moderating role of destination familiarity, generation and gender in the effects post-COVID-19 of coronavirus fear-uncertainty on the destination image and travelers’ intention to visit using generational cohort theory and gender schema theory.

The Islamic modest fashion industry is growing rapidly and becoming more competitive within an increasing number of brands available in the market. Based on this reason, both marketers and designers need to create differentiation in their brands. One of the ways to create such differentiation is by establishing a brand personality. Thus, the purpose of this study is to develop a reliable measure of Islamic apparel personality that incorporates the relevant dimensions/traits Muslim females attribute to their apparel.

Islamic apparel brand personality model was developed based on the Qur’an verses, hadith (sayings of Prophet Muhammad), traits in Aaker’s and other Islamic brand personality models. Focus groups were used to generate a list of traits. Following this, a survey research method was used to gather data. Then, exploratory and confirmatory factor analyses were conducted on a sample of 190 Egyptian Muslim females.

This study introduces five dimensions of the Islamic apparel brand personality model, namely, simplicity, feminine, modesty, Islamic and righteousness.

This study contributes to the branding as well as Islamic apparel marketing literature as it is the first Islamic apparel brand personality framework. With the Islamic apparel brand personality model, Islamic apparel designers, producers and marketers can create a strong brand image, use advertising strategies effectively and ultimately attract more potential consumers.

The Islamic apparel brand personality model being the first of its kind is significant for the Islamic apparel industry. It reflects dimensions that are supported by the Quran and hadith and therefore suits the Muslim customer market.

The purpose of this study aims to examine the effect of fintech on pre- and post-financing credit risks faced by the Islamic banks.

This research uses primary data for fintech awareness and adoption and secondary data of various financial and economic variables from 2009 to 2021. It uses baseline regression to identify moderation of fintech controlling gross domestic products, size, return on assets and leverage. The findings are confirmed using robustness against key variable bias. It also uses a dynamic panel two-stage generalized method of moments for endogeneity.

The study finds that the fintech awareness and adoption are not the same across all Islamic countries. The Asia Pacific region is far ahead of the other two regions where Indonesia is ahead in terms of fintech awareness and adoption, and Malaysia is ahead in terms of reaping its benefits in credit risk management. Fintech affects prefinancing credit risk significantly more than postfinancing credit risk. Also, the study finds that Islamic banks suffer from the problem of “Adverse selection under Shariah compliance.”

This research invites regulators to introduce fintech in Islamic banks on war footing. Similar studies can be conducted on the role of other risks such as operational and market risks. Fintech will also help in improving the risk profile and stability of Islamic banks against systemic risks and financial crises.

This research has variety of originalities. First, it is the pioneering study that addresses the effect of fintech pre- and post-financing credit risks in Islamic banks. Second, it identifies “Adverse selection under Shariah compliance” for Islamic banks. Third, it helps identify how fintech can be useful in reducing credit risk that will help in reducing capital charge for regulatory capital.

The paper investigates how talent management influences employee performance in the banking industry in Nigeria. Despite various economic policies of the Central Bank of Nigeria aimed at reshaping the banking industry, talent management and development for the digital age is the concern of the most bank. Rapid digital transformation has been affecting the banking industry, which requires the banking industry to rethink a strategic way to achieve inclusive, resilient, and sustainable growth.

The questionnaires were used to obtain information from 302 full-time employees of the top five banks in the Nigerian banking industry. The collected data were analyzed using the Partial Least Square-Structural Equation Model (PLS-SEM).

This study shows that talent attraction and development significantly and positively influence task performance. In comparison, talent retention was found to have no significant effect on task performance. This study found that work engagement positively mediates talent attraction, development and task performance. Work engagement did not mediate the relationship between talent retention and task performance.

For the industry to motivate high-performing employees in this digital economy, talent management will need to be carefully designed to create the most enduring competitive advantage. In conclusion, this study will benefit the Nigerian banking industry by apprehending the predictors of task performance so that the prevalence of poor task performance among the employees is well managed.