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Extant research on workplace ostracism has investigated a victimization perspective to understand ostracism at the cost of examining the perpetrator-centric view of ostracism. This study aims to draw on the self-categorization theory and the social exchange theory to investigate the harmful effects of workplace romance in cultivating workplace ostracism from the perspective of perpetrator to combat concerns for victim blaming. This study further proposes that workplace ostracism triggered by workplace romance provokes interpersonal conflict. Besides, this study investigates the moderating role of prosocial behavior in the underlying linkages.

This study uses a multisource, time-lagged research design to collect data from employees working in the service sector organizations in Pakistan. This study analyzes 367 responses using SmartPLS (v 4.0).

The findings of this study reveal that workplace romance elicits workplace ostracism, which, in turn, fosters interpersonal conflict among coworkers. In addition, this study finds that ingroup prosocial behavior strengthens the associations between workplace romance and workplace ostracism, and workplace romance and interpersonal conflict, mediated by workplace ostracism such that the associations are more potent at higher levels of ingroup prosocial behavior and vice versa.

To the best of the authors’ knowledge, this is the first study that examines workplace romance as the perpetrator-centric antecedent of workplace ostracism, and ingroup prosocial behavior in exaggerating the outgroup ostracism and interpersonal conflict.

After reading this case study, students will be able to understand the impact of cyber threats on businesses; explore the intersection of innovation and ethical considerations; understand the proactive role of entrepreneurs in identifying gaps in traditional industries, such as insurance, and innovating solutions that align with local dynamics; and learn to formulate strategies addressing cultural factors, market gaps and challenges.

The case study follows Hasnain, a prosperous entrepreneur in Pakistan, who was surprised by the news of a cyberattack on Bank Islami. This event, coupled with a personal data breach in his family’s business, triggered Hasnain’s willingness and interest to address the growing threat of cyber risks and attacks. As the progenitor of a digital solutions startup, he identified a gap in the insurance industry’s replication to cyber threats and envisioned the desideratum for a Sharia-compliant cyber-insurance product withal called cyber risk takaful. The case study explores Hasnain’s journey as he contemplated the challenges of introducing cyber risk takaful – a Sharia-compliant insurance solution for businesses and individuals. Apperceiving the low vigilance and perceived costs associated with cyber insurance, Hasnain faced the dilemma of surmounting these barriers in a country where the penetration of insurance, in general, is already minimal. The story raises critical questions: How can Hasnain efficaciously introduce cyber risk takaful to a market reluctant to embrace cyber insurance? What business strategies should he use to engender vigilance and acceptance of this innovative insurance solution? Will businesses and individuals embrace the concept of cyber risk takaful and recognize its paramount in forfending their digital assets?

This case study is designed to meet the educational needs of both undergraduate and postgraduate students, particularly those enrolled in business administration programs. This case study is tailored for students in the final year of BBA and the first year of MBA programs. It is also well-suited for executive education programs that focus on strategic decision-making in the context of emerging market challenges, such as entrepreneurship and corporate strategy. The case study is particularly relevant for courses centered on entrepreneurship, business strategy, strategic management and corporate strategy.

Teaching notes are available for educators only.

CSS11: Entrepreneurship.

The boundary layer flow of immiscible fluids plays a crucial role across various industries, influencing advancements in industrial processes, environmental systems, healthcare and more. This study explores the thermally radiative boundary layer flow of a shear-driven Ree–Eyring fluid over a nanofluid. The investigation offers valuable insights into the intricate dynamics and heat transfer behavior that arise when a nanofluid, affected by thermal radiation, interacts with a non-Newtonian Ree–Eyring fluid. This analysis contributes to a deeper understanding of the complex interactions governing such systems, which is essential for enhancing efficiency and innovation in multiple applications.

The simulation investigates the convergence of boundary layers under varying shear strengths. A comparative analysis is conducted using γAl2O3 and Al₂O₃ nanoparticles, with water as the base fluid. The model’s numerical outcomes are derived using the bvp4c method through the application of appropriate similarity transformations. The resulting numerical data are then used to produce graphical representations, offering valuable insights into the influence of key parameters on flow behavior and patterns.

The temperature of the Al₂O₃ nanoparticles is always higher than the γAl2O3 nanoparticles, and hence, Al₂O₃ nanoparticles become more significant in the cooling process then γAl2O3 nanoparticles. It is also observed that the fluid velocity for both regions is enhanced by increasing values of the Ree–Eyring fluid parameter.

The results stated are original and new with the thermal radiative boundary layer flow of two immiscible Ree–Eyring fluid and Al₂O₃/γAl2O3 nanofluid.

This paper aims to highlight the importance of open data and the role that knowledge management and open innovation can play in its identification and use. Open data has great potential to create social and economic value, but its main problem is that it is often not easily reusable. The aim of this paper is to propose a unique identifier for open data-sets that would facilitate search and access to them and help to reduce heterogeneity in the publication of data in open data portals.

Considering a model of the impact process of open data reuse and based on the digital object identifier system, this paper develops a proposal of a unique identifier for open data-sets called Open Data-set Identifier (OpenDatId).

This paper presents some examples of the application and advantages of OpenDatId. For example, users can easily consult the available content catalogues, search the data in an automated way and examine the content for reuse. It is also possible to find out where this data comes from, solving the problems caused by the increasingly frequent federation of data in open data portals and enabling the creation of additional services based on open data.

From an integrated perspective of knowledge management and open innovation, this paper presents a new unique identifier for open data-sets (OpenDatId) and a new concept for data-set, the FAIR Open Data-sets.

In various kinds of materials processes, heat and mass transfer control in nuclear phenomena, constructing buildings, turbines and electronic circuits, etc., there are numerous problems that cannot be enlightened by uniform wall temperature. To explore such physical phenomena researchers incorporate non-uniform or ramped temperature conditions at the boundary, the purpose of this paper is to achieve the closed-form solution of a time-dependent magnetohydrodynamic (MHD) boundary layer flow with heat and mass transfer of an electrically conducting non-Newtonian Casson fluid toward an infinite vertical plate subject to the ramped temperature and concentration (RTC). The consequences of chemical reaction in the mass equation and thermal radiation in the energy equation are encompassed in this analysis. The flow regime manifests with pertinent physical impacts of the magnetic field, thermal radiation, chemical reaction and heat generation/absorption. A first-order chemical reaction that is proportional to the concentration itself directly is assumed. The Rosseland approximation is adopted to describe the radiative heat flux in the energy equation.

The problem is formulated in terms of partial differential equations with the appropriate physical initial and boundary conditions. To make the governing equations dimensionless, some suitable non-dimensional variables are introduced. The resulting non-dimensional equations are solved analytically by applying the Laplace transform method. The mathematical expressions for skin friction, Nusselt number and Sherwood number are calculated and expressed in closed form. Impacts of various associated physical parameters on the pertinent flow quantities, namely, velocity, temperature and concentration profiles, skin friction, Nusselt number and Sherwood number, are demonstrated and analyzed via graphs and tables.

Graphical analysis reveals that the boundary layer flow and heat and mass transfer attributes are significantly varied for the embedded physical parameters in the case of constant temperature and concentration (CTC) as compared to RTC. It is worthy to note that the fluid velocity is high with CTC and lower for RTC. Also, the fluid velocity declines with the augmentation of the magnetic parameter. Moreover, growth in thermal radiation leads to a declination in the temperature profile.

The proposed model has relevance in numerous engineering and technical procedures including industries related to polymers, area of chemical productions, nuclear energy, electronics and aerodynamics. Encouraged by such applications, the present work is undertaken.

Literature review unveils that sundry studies have been carried out in the presence of uniform wall temperature. Few studies have been conducted by considering non-uniform or ramped wall temperature and concentration. The authors are focused on an analytical investigation of an unsteady MHD boundary layer flow with heat and mass transfer of non-Newtonian Casson fluid past a moving plate subject to the RTC at the plate. Based on the authors’ knowledge, the present study has, so far, not appeared in scientific communications. Obtained analytical solutions are verified by considering particular cases of the published works.

This paper aims to understand the religio-spiritual insights of the consumers and investigate their relationship with the consumers’ attitude towards advertising and its antecedents. Religious festivals, such as Ramadan, are celebrated with high religio-spiritual contemplations, which are often targeted by intensive marketing campaigns. During these religious festivals, consumers’ attitude toward advertising is influenced when television commercials contain “unnecessary” entertainment, “inappropriate casting” of celebrities with less credibility, “cluttered” information, “phony claims” related to good for economy and “annoying content” increasing consumers’ irritation.

This study developed a higher-order construct of religio-spiritual insights and used “Theory of Reasoned Action” for measuring the effect of religio-spiritual insights on consumers’ attitude toward advertising. Exploratory sequential mixed methods research design was used to develop and validate the instrument. A total of 30 semi-structured interviews were conducted during i-depth analysis phase to generate themes and questionnaire. During instrument validation phase, 839 Muslim consumers were surveyed by using the questionnaire, and instrument was validated by using the co-variance-based structural equation modeling approach.

This study develops and validates the instrument of religio-spiritual insights and identifies its significant direct and mediating effects between the consumer’s attitude toward advertising and its determinants.

The newly developed instrument of religio-spiritual insights is based on six dimensions, namely, “beliefs and practices,” “association with higher power,” “interconnectedness,” “self-actualization,” “heart and mind involvement,” “knowledge and meanings.” This instrument of religio-spiritual insights was validated and then tested by using a conceptual framework based on the several variables, such as attitude toward advertising, irritation, good for economy, entertainment, credibility and information.

Emissions have significant environmental impacts. Hence, minimizing emissions is essential. This study aims to use a hybrid neural network model to predict carbon monoxide (CO) and nitrogen oxide (NOx) emissions from gas turbines (GTs) to enhance emission prediction for GTs in predictive emissions monitoring systems (PEMS).

The hybrid model architecture combines convolutional neural networks (CNN) and bidirectional long-short-term memory (Bi-LSTM) networks called CNN-BiLSTM with modified extrinsic attention regression. Over five years, data from a GT power plant was uploaded to Google Colab, split into training and testing sets (80:20), and evaluated using test matrices. The model’s performance was benchmarked against state-of-the-art emissions prediction methodologies.

The model showed promising results for GT CO and NOx emissions. CO predictions had a slight underestimation bias of −0.01, with root mean-squared error (RMSE) of 0.064, mean absolute error (MAE) of 0.04 and R² of 0.82. NOx predictions had an RMSE of 0.051, MAE of 0.036, R² of 0.887 and a slight overestimation bias of +0.01.

While the model demonstrates relative accuracy in CO emission predictions, there is potential for further improvement in future research.

Implementing the model in real-time PEMS and establishing a continuous feedback loop will ensure accuracy in real-world applications, enhance GT functioning and reduce emissions, fuel consumption and running costs.

Accurate GT emissions predictions support stricter emission standards, promote sustainable development goals and ensure a healthier societal environment.

This paper presents a novel approach that integrates CNN and Bi-LSTM networks. It considers both spatial and temporal data to mitigate previous prediction shortcomings.

The use of polysaccharides increases solubility and consistency and causes functions such as viscosity? Moisture and food emulsifier stabilizer. This study aims to enrich the formulation of low-fat mozzarella cheese using microcoated vitamin D3 (VD3).

This study investigates the addition of hydrocolloids to low-fat mozzarella cheese to enhance its properties and nutritional value. Tests were conducted on cheese samples with 0.05% and 0.25% hydrocolloid concentrations at various stages: before production and at three and six months’ postproduction. The samples were evaluated for elasticity, pH and solubility to select the best one, which was then fortified with VD3. The vitamin was microencapsulated using alginate and whey protein to shield it from light and oxygen, optimizing the formula using the response surface method. The fortified cheese was tested for VD3 content over its shelf life.

Results indicated that all hydrocolloids tested improved moisture and meltability of the cheese while higher protein levels increased stretchability two to threefold. Rice starch hydrocolloid at 0.05% concentration was chosen due to superior sensory scores and minimal oil separation. This study concluded that VD3 levels remained stable during the cheese’s shelf life, suggesting that this approach could enhance the nutritional value of low-fat cheese without compromising its quality. Therefore, after examining the obtained results and comparing the regression models, the results indicated that the Quadratic model was chosen to investigate the effect of independent variables on the response rate, which had a statistically significant difference with other models (p = 0.0019). Also the results of the area under the curve and using the encapsulation efficiency equation, the percentage of microencapsulated vitamin was obtained, and according to the simulation results, the encapsulation efficiency was reported as 89.02%.

Developing innovative functional dairy products fortified with VD3 could improve the vitamin D status in deficient populations. Therefore, these designs can be applied at industrial scales for functional cheese production.

The purpose of this study was to test a four-variable research model using organizational behavior, social and technical systems, and leadership theories. This study set out to determine how different leadership philosophies, such as transformational leadership and empowering leadership, affected innovation. In addition, the model’s mediating role for psychological empowerment was quantified.

This study used a quantitative approach, which is primarily a questionnaire, to gather information from 320 health-care sector workers at four public hospitals in the Basrah Governorate.

The majority of the relationships in the research model were shown to be positive by data analysis outcomes. The findings also showed how crucial the mediating variable was in preserving the link between the independent and dependent variables. Discussions were made on the theoretical and practical ramifications and suggestions for additional research.

This study concentrated on the application of contemporary leadership styles, gathered information on them and combined them into a single model to boost innovation. This study, which was conducted in the setting of the Iraqi health-care industry, stands out from previous studies because it used a large sample to provide conclusive and significant results, making it a valuable resource for academicians who seek to cultivate innovation.