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Given the lack of understanding surrounding search regret, this study aims to draw on the regret regulatory theory to investigate the outcomes of search regret and effective strategies to reduce its adverse effects.

Using time-lagged data from 331 salespeople-customers dyads, this study investigates the connection between search regret, store image, interaction quality, and store revisit intentions.

Customers develop negative perceptions of the store, subsequently reducing their intentions to revisit. Salespeople’s interaction quality can reduce the negative impact of search regret on store image and revisit intentions. Furthermore, store image serves as a mediator between search regret and revisit intentions.

This study marks the first attempt to investigate the store image and revisit intentions as outcomes of search regret and examines the moderating role of salespeople’s interaction quality in reducing the negative consequences of search regret.

This study investigates the crucial link between sustainable practices and organizational development, focusing on sustainable knowledge management (SKM), green innovation (GI) and corporate sustainable development (CSD) in diverse Pakistani organizations.

This study employs a comprehensive research methodology involving advanced statistical techniques, such as confirmatory factor analysis, structural equation modeling and hierarchical linear modeling. These methods are instrumental in exploring the complex interrelationships between SKM, GI, moderating factors and CSD.

This research generates significant findings and actively contributes to sustainable development. The following sections (Sections 4 and 5) delve into the specific findings and in-depth discussions, shedding light on how industry regulation, organizational sustainability priorities, workplace culture collaboration and alignment between green culture and knowledge management practices influence the relationships between SKM, GI and CSD. These findings provide valuable insights for the research community and organizations striving for sustainability.

The study’s findings have practical implications for organizations seeking to enhance their sustainability efforts and embrace a socially and environmentally conscious approach to organizational growth.

This study contributes to the literature on sustainable practices and organizational development. Researchers and business people can learn a lot from it because it uses advanced econometric models in new ways and focuses on the link between knowledge management, GI and sustainable corporate development.

The rapid evolution of digital innovation has significantly revolutionized the business landscape for entrepreneurs. Embracing digital innovation is crucial for all stakeholders to achieve sustainable development goals (SDGs) and promote sustainability. However, there is little understanding of how entrepreneurial leadership in developing nations has proactively responded to the challenge of digital innovation. Based on Drucker’s productivity theory, this study examines the relationship between entrepreneurial leadership (EL), digital orientation (DO) and digital capability (DC) as predictors of digital innovation (DI). The proposed model aims to establish the causal connections between variables and elucidate the complex interplay between digital innovation and the resulting outcome of sustainable performance (SP).

Two research studies were carried out in the Chinese IT industry to assess the efficacy of the theoretical framework among IT workers. Study 1 utilized a three-week, two-week time-lagged design (N = 299), while Study 2 used a two-week, four-week survey design (N = 341). The study used Smart-PLS 4.0 for data analysis.

The results showed that entrepreneurial leadership significantly impacts employee digital orientation and digital capabilities, fostering digital innovation. Moreover, digital innovation has a significant impact on sustainable performance.

The study’s findings allow authors to contribute to the existing scholarship on employee digital orientation, digital capabilities, digital innovation and sustainable performance in an emerging economy.

Nanofluids are used in technology, engineering processes and thermal exchanges. In thermal transfer processing, these are used for the smooth transportation of heat and mass through various mechanisms. In the current investigation, we have examined multiple effects like activation energy thermal radiation, magnetic field, external heat source and especially slippery effects on a bioconvective Casson nanofluid flow through a stretching cylinder.

Several studies used non-Newtonian fluid models to study blood flow in the cardiovascular system. In our research, Lewis numbers for bioconvection and the influence of important parameters, such as Brownian diffusion and thermophoresis effects, are also considered. This system is developed as a partial differential equation for the mathematical treatment. Well-defined similarity transformations convert partial differential equation systems into ordinary differential equations. The resultant system is then numerically solved using the bvp4c built-in function of MATLAB.

After utilizing the numerical approach to the system of ordinary differential equations (ODEs), the results are generated in the form of graphs and tables. These generated results show a suitable accuracy rate compared to the previous results. The consequence of various parameters under the assumed boundary conditions on the temperature, motile microorganisms, concentration and velocity profiles are discussed in detail. The velocity profile decreases as the Magnetic and Reynolds number increases. The temperature profile exhibits increasing behavior for the Brownian motion and thermal radiation count augmentation. The concentration profile decreased on greater inputs of the Schmidt number and magnetic effect. The density of motile microorganisms decreases for the increased value of the bio-convective Lewis number.

The numerical analysis of the flow problem is addressed using graphical results and tabular data; our reported results are refined and novel based on available literature. This method is useful for addressing such fluidic flow efficiently.

Workplace bullying is a serious problem among nurses, which results in negative workplace behavior. Therefore, this study aims to understand how workplace bullying affects employees’ knowledge hiding behavior. Specifically, this study explored psychological contract breach as an underlying mechanism between workplace bullying and knowledge hiding; and learning goal orientation as a boundary condition between psychological contract breach and knowledge hiding.

The study collected data from 343 nurses working in the health-care sector of Pakistan on convenience basis using a questionnaire-based survey between December 2021 to March 2022. The data were analyzed through structural equation modeling.

The results revealed the adverse effect of workplace bullying on knowledge hiding behaviors among nurses, and psychological contract breach was noted to mediate this association. Further, learning goal orientation was noted to buffer the relationship between psychological contract breach and knowledge hiding.

The cross-section design may restrict causality; however, the findings suggest health-care administration take appropriate measures to reduce the adverse effects of workplace bullying. In addition, the administration is suggested to implement training programs to make nurses capable of dealing with workplace stressors (bullying and psychological contract breach).

This research provides a novel perspective to consider psychological contract breach as a mechanism between workplace bullying and knowledge hiding in the health-care sector from the conservation of resources perspective. It further explored learning goal orientation as a buffer to mitigate the effect of psychological contract breach on knowledge hiding.

The purpose of the present study is to reveal the antecedents of the new green product success (NGPS) of small and medium-sized enterprises (SMEs) that manufacture in Türkiye with a middle-income economy. To this end, a research model for the serial mediating role of green human capital (GHC) and green adaptive ability (GAA) in the relationship between green mindfulness (GM) and NGPS was developed and tested. Determining the driving forces of NGPS is essential due to the contributions of SMEs manufacturing, especially in middle-income economies, such as Türkiye, to the national economy.

The present study used partial least squares structural equation modeling (PLS-SEM) to test the hypothesized relationships. The study hypotheses were tested in a sample of 396 manufacturing enterprises, qualified as SMEs in Türkiye with ISO 14001 certificates.

Empirical evidence indicates that GM, GHC and GAA act as significant antecedents of NGPS. Furthermore, empirical evidence demonstrates that GHC and GAA, in turn, mediate the relationship between GM and NGPS.

Managers, especially in manufacturing SMEs, should be aware that they need to develop intangible resources to improve NGPS. Increased investment in GM results in higher levels of GHC and GAA, which collectively leads to improved NGPS.

The current literature has not previously explained the mechanism of the relationship between GM and NGPS. The originality of the present study, which discusses the relevant research gap, is to develop an integrated framework to investigate how GM impacts NGPS, specifically for SMEs, and to test it empirically.

The purpose of this study is to examine factors influencing consumers’ intention to purchase Halal cosmetics through the lens of theory of consumption values (TCV).

This study employed a quantitative research methodology, collecting data from 185 respondents through an online questionnaire. The participants, selected via purposive sampling, were all current purchasers of cosmetics. The data were analyzed using partial least square structural equation modeling (PLS-SEM) with the assistance of IBM SPSS and SmartPLS software.

This research reveals that emotional value is the most substantial value predictor, followed by epistemic value, conditional value and functional value. Further, the moderation analysis shows that the effect of conditional value is strengthened when the consumer are from a higher social class.

This study reveals that consumption values with context-specific attributes directly impact consumer purchase intentions towards Halal cosmetics, while social class acts as a significant catalyst. This offers a fresh perspective that mitigates the traditional misconceptions about Halal cosmetics among Malaysians, highlighting the complexity and resilience of consumer adoption in this innovative sector.

This study aims to examine how an organization’s innovation capability could influence research and development (R&D) performance. It also investigates if industry–academic knowledge transfer has a moderating relationship between organizational innovation capability and exploration and exploitative innovation in improving the R&D performance of the organizations.

Based on the literature and dynamic capability view, a conceptual model was developed and then validated using the partial least squares-structural equation modeling technique considering 387 responses from academicians and industry personnel.

The study found that industry–academic knowledge transfer has a significant moderating impact toward improving innovation capability, organizations’ R&D performance and exploration innovation. However, it has an insignificant moderating impact on improving innovation capability and exploitative innovation.

Organizational innovation capability is characterized by both exploratory and exploitative innovation. Both types of innovation support the R&D performance of an organization. Also, organizations that closely work with academic institutions could gain significant R&D knowledge from academic expertise. This study provides food for thought for the academic community as well as industry policymakers.

There are significant opportunities for academic institutions to gain practical knowledge from industry which can help them to accelerate their R&D activities. However, transferring knowledge between industry and academia has challenges related to intellectual property, patents and so on. Not much research has been conducted in this area. Thus, the proposed research model is unique and adds to the existing literature.

The literature has generally examined supply chain disruptions and mitigation, assuming that resilience capabilities are universal. This assumption undermines the productivity and competitiveness of manufacturing firms in developing economies due to differences in contextual attributes and challenges. In this study, we advance the current knowledge in the literature and explore context-driven disruptions in developing economies to provide a foundational step for disruption-mitigation fit to enhance operational efficiency and business continuity.

This study adopts a qualitative multi-case study approach and explores the operational environment of manufacturing firms in developing economies to unpack context-driven disruptions and strategies for managing disruptions. An in-depth exploratory multiple case study of 8 manufacturing firms was conducted using semi-structured interviews with 31 key informants across the case firms.

Findings indicate that manufacturing firms in developing economies face operational disruptions and challenges specific to their business environment, contrasting with those experienced in developed countries and documented in the literature. This contrast suggests that mitigation strategies designed for disruptions in developed economies may prove ineffective in addressing emergent and context-driven disruptions in developing countries.

Since this paper is based on an in-depth single case study, its findings may not be empirically generalisable to other sectors and countries beyond Africa.

Considering the interconnectivity of global supply chains, this study highlights the need for firms and managers in developed economies to be cognisant of context-specific disruptions affecting firms in developing economies. The study provides valuable insights into how manufacturing firms can build resilience by embedding context-specific planning practices into their strategic supply chain agenda.

With Africa’s lack of production contribution to the global manufacturing value-added, this study underscores the need for manufacturing firms in developing economies to be proactive, pragmatic, and strategic in devising planning consistent with their operations and the dynamic business environment.