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The purpose of this paper is to enhance the heat transfer and thermal performance in the trailing edge region of the vane with vortex generators (VGs).

This numerical study presents the enhancement of thermal performance in the trailing part of a gas turbine blade. In the trailing part, generally, pin fins are used either in staggered or in-line arrangements to enhance the heat transfer. In this study, based on the idea from heat exchangers, pin fins are combined with VGs. A pair of VGs is embedded in the boundary layer upstream of each pin fin in the first row of the pin fin array having an in-line configuration. The effects of the VG angle relative to the streamwise direction and streamwise distance between the pin fin and VGs are investigated at various Reynolds numbers.

The results indicated that the endwall heat transfer is enhanced with the addition of VGs and the heat transfer from the surfaces of the pin fins. The level of heat transfer enhancement compared to the case without VGs is more significant at high Reynolds number. The surfaces of the VGs also show a significant amount of heat transfer. Study of the angle of the attack suggested that a high angle of attack is more appropriate for pin fin cooling enhancement whereas an intermediate gap between the VGs and pin fins shows considerable improvement of thermal performance compared to the small and large gaps. The phenomenon of heat transfer augmentation with the VGs is demonstrated by the flow field. It shows that the enhancement of heat transfer is governed by the mixing of the flow as a result of the interaction of vortices generated by the VGs and pin fins.

VGs are used to disturb the thermal boundary layer. It shows that heat transfer is augmented as a result of the interaction of vortices associated with VGs and pin fins.

The purpose of this paper is to extend the recent results of Okeke et al. (2018) to the class of multivalued ρ-quasi-contractive mappings in modular function spaces. We approximate fixed points of this class of nonlinear multivalued mappings in modular function spaces. Moreover, we extend the concepts of T-stability, almost T-stability and summably almost T-stability to modular function spaces and give some results.

This chapter employs a single case study of Safeer (pseudonym) (25 years old) who has been part of the tribal conflict involving the Rind clan against another Rind clan and the Lashari tribe in the Dadu district of Sindh, Pakistan. It investigates how youth, in the name of tribal honor, actively resist rival tribes, serving as potential actors during conflicts. Safeer actively engaged in numerous tribal conflicts during broad daylight. Not only due to tribal conflicts but also out of fear of the police, Safeer led a conscious and vigilant life from childhood to protect himself and his extended clan members, reflecting a shared sentiment among the youth of his clan. Safeer’s case provides insight into the prevailing perception of youth across more than eight tribal districts in Sindh, excessively affected by conflict consequences yet actively resisting and challenging atrocities. He, like many others in his clan, felt compelled to seek revenge for the murder of an innocent clan member. Safeer’s perspective also highlights the police’s incompetence and the public’s lack of trust in formal justice (especially courts), as a major cause leading young individuals into tribal clashes. Safeer’s case extends beyond an individual narrative, illustrating a broader political landscape in the vast geography of Sindh. It reflects the adversity and resilience of rural youth facing immense challenges, including declining agricultural activities due to reduced irrigation water, rising agricultural input prices, inflation, unemployment, and a shrinking small-scale industrial base in rural Sindh.

The study examines the impact of various aspects of channel integration quality, personalisation and perceived warmth on behavioural outcomes through customer engagement in omnichannel retailing.

This study is based on the responses of 458 participants, gathered using purposive and snowball sampling methods. PLS-SEM and FIMIX-PLS have been used to examine the heterogeneity in respondents’ views.

The findings emphasise the favourable influence of various facets of omnichannel strategy on customer engagement, which enhances brand affection, leading to stickiness and willingness to pay price premium. Furthermore, identifying three separate customer categories provides detailed insights into how omnichannel aspects appeal to consumer preferences.

The findings underscore the need to use customised approaches to cultivate lasting relationships with consumers, emphasising the potential of omnichannel retailing in harmonising business success and consumer sentiments. Retailers can identify areas of dissatisfaction within specific segments and eventually focus on improving these areas to provide a seamless experience and increase engagement.

This paper offers a distinctive contribution to the domain of omnichannel retailing by employing structural equation modelling (SEM) along with FIMIX-PLS to explore respondent heterogeneity. In addition to the transactional aspects, this study investigates the crucial elements, including warmth and personalisation strategies and how these influence the holistic customer journey, including their emotional connection with the brand in the omnichannel retailing environment, thereby advancing knowledge in the field and providing relevant implications for industry practice.

Advances in digital technologies and the growing number of touch points have had a significant impact on the shopping behaviour of omnichannel customers. Several research papers have explored different facets of omnichannel, but only a few have thoroughly explored the literature on showrooming and webrooming simultaneously. This paper aims to identify the key groups of antecedents influencing customer buying behaviour in omnichannel, under the influence of digital technologies, with a particular focus on showrooming and webrooming.

Our study conducted a systematic literature review to identify the factors influencing customers’ buying behaviour in omnichannel, which have been the subject of academic discussion over the last decade. We finalized 149 articles for the thematic analysis and identified three groups of antecedents: channel-related, product-related and consumer-related with their subgroups.

Under channel-related antecedents, cost and perceived benefits, search convenience, need for interaction and situational circumstances have been identified as major attributes. The expressiveness of the product, product demonstration and search and experienced products have been identified under product-related antecedents, followed by price consciousness, past experiences, perceived risks and shopping motivations as leading attributes under consumer-related antecedents. The study revealed the multifaceted influence of digital technologies on omnichannel buying behaviour. Digital technologies are shaping the antecedents related to channels, products and consumers. Digital technologies simultaneously mediate between antecedents and the selection of a specific path within an omnichannel environment. Showrooming and webrooming should no longer be seen as general concepts. The rise of digital technologies has led to the development of new consumer journey patterns and the blurring of distinctions between showrooming and webrooming. A conceptual framework has been proposed to understand consumers' omnichannel behaviour, having considered the identified antecedents and the role of digital technologies.

This study advances the academic understanding of consumer behaviour in omnichannel under the influence of digital technologies and provides important implications for omnichannel management. With the advancement of digital technologies such as augmented reality and virtual reality, retailers should implement channel integration strategies to bridge the gap between online and offline channels, providing a memorable shopping experience for omnichannel customers.

This study is unique because it identifies and analyses the antecedents of consumer behaviour in omnichannel settings under the influence of digital technologies. It also uncovers new potential combinations of showrooming and webrooming patterns. The proposed framework can help retailers in their future planning of omnichannel strategies.

This paper investigates the influence of e-service quality (process and user experience) and price fairness on customer satisfaction, which, as a consequence, affects brand love toward Food Delivery App (FDA) services. More importantly, it examines the moderating roles of generation (Gen Y vs Gen Z) and usage frequency (low vs high) in affecting user behaviors.

Data were collected from 354 food delivery app users (Gen Y and Z) in Bangladesh through structured questionnaire and analyzed with PLS-SEM.

The findings show that, apart from reliability, all the dimensions of service quality influence app users’ satisfaction, which, in turn, enhances their brand love. Furthermore, the outcome reveals that the impact of customer satisfaction on brand love is stronger among Gen Y compared to Gen Z. Finally, the outcomes suggest that as users use the FDA services more frequently, the relationship between customer satisfaction and brand love weakens.

The study outcomes facilitate the FDA service providers and restaurant operators to focus on the quality and price of services to ensure the satisfaction and brand love of Gen Y and Gen Z. Separate policies must be taken for Gen Y and Gen Z to manage their brand love towards FDA services.

Grounded on the S-O-R paradigm and the Generational Cohort theory, this study expands the knowledge horizon of FDA services by focusing the behavior of Gen Y and Gen Z. More specifically, investigating how the impact of user satisfaction on brand love towards FDA services changes across generations and usage frequency are the novel contributions of this study.

Given the relative importance of the Shari’ah supervisory boards (SSBs) in Islamic banks’ (IBs’) performance, this study aims to examine the impact of SSB diversity on IBs’ performance from the stakeholders’ perspective in the context of Pakistan.

Random-effects model and generalized method of moment are used to investigate the impact of SSB diversity on IBs’ performance across a panel data of 22 Islamic banks in Pakistan from 2005 to 2020 inclusive.

The findings of this study show that SSB size, SSB relevant educational background diversity, bank’s size and bank’s stability have a positive impact on IBs’ performance. In contrast, SSB age, nationality and cross-membership diversities have a negative impact on IBs’ performance. Moreover, SSB gender, tenure and general educational diversities have no significant impact on IBs’ performance.

SSB diversity and IBs practices are different across different jurisdictions. This study is conducted on IBs in Pakistan because of data constraints; thus, the results of this study may not be generalizable to other countries' IBs.

In structuring the SSBs’ framework, the regulatory authorities and policymakers should consider mandating an ideal SSB size and hiring relevant qualified members with low cross-membership to improve IBs' performance. Thus, the structure potentially attracts Muslim stakeholders, enhances their satisfaction and improves IBs' performance.

Having diversified members in the SSB, IBs equally benefit both individual and group stakeholders in society. Diversity in SSB members enhances IBs' performance and the social welfare of various stakeholders in society.

To the best of the authors' knowledge, this is the first empirical research that examines comprehensively the impact of SSB structural and demographic diversities on IBs' performance in the context of Pakistan. This paper contributes to the unique Shari’ah governance structure in the context of Pakistan. Additionally, this study may serve to assist IBs’ stakeholders in better comprehending the SSB practices of IBs in Pakistan.

Although previous studies have studied the impact of spiritual leadership (SL) on employees’ innovation, the research on mechanisms and the boundary conditions for stimulating this relationship is scant. This paper aims to follow the idea of social capital theory (SCT), which contends that social relationships are resources that lead toward the development of intellectual capital, important for innovative work behavior (IWB) of employees; the mediating role of knowledge sharing self-efficacy (KSSE) and moderating role of innovation climate (IC) are considered.

The authors collected the data from the foreign and local employees working in multinational companies in China. The quantitative analysis was performed using Smart-PLS 3.0.

The results indicated that employee high-ranking of SL is positively related to KSSE. Moreover, SL is significant to enhance IWB, whereas KSSE explained this relationship. The authors also suggest that an employee’s KSSE is significant to form important behavior at work (IWB). However, IC did not play its moderating role in the SL – IWB link.

This study explores the influence of the leadership style (SL) on employees’ KSSE and the effect of KSSE on IWB, which have not been studied previously. The current study confirms the relationship between SL and IWB in the multicultural workplace and reveals the deeper influence of an individual’s belief (KSSE) mechanism between them. SCT was applied to explain the proposed relationships.

The purpose of this study is to investigate how consumer brand engagement (CBE) promotes brand love and eWOM within the influence of brand interactivity and consumer involvement, especially in the context of the smartphone industry and Chinese social media marketing. This study also examines the important role of brand love and gender in this relationship.

Data from 403 participants who are followers of the smartphone brand’s social media page was collected via an online survey. PLS-SEM was also used for examining the research model.

The findings of this research reveal that the (perceived) brand interactivity, and consumer involvement, are key factors influence CBE. As expected, brand love and consumers’ eWOM intention are significant outcomes of CBE. In particular, the relationship between CBE and consumers’ eWOM intention is mediated by brand love. However, gender did not moderate the proposed relationships.

By integrating social exchange theory and attribution theory, this study deepens the understanding of CBE and brand love by examining the relationship between brand interactivity, consumer involvement, CBE, brand love and eWOM in the context of smartphone and Chinese social media marketing.

The purpose of this paper is to understand the influence of knowledge-sharing behavior (KSB) on the innovative work behavior (IWB) and job satisfaction (JS) among employees considering the moderating role of motivating language (ML) of supervisors.

The hypothesized relationships were examined applying modeling of structural equation and hierarchical multiple regression analysis. The data was collected from Chinese multinational companies in Kazakhstan with final sample of 322 respondents.

The findings suggest that the link between KSB and JS is significantly positive with the moderating impact of ML, while KSB itself has significantly negative effect on JS. Moreover, ML buffers the insignificant effect of KSB on IWB.

Research is atypical, as it has focus on the moderating roles of ML in the direct relationship of employee KSB and JS, and in the direct linkage of employee KSB and IWB in Chinese multinational organization in the network field.