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This paper aims to highlight four features of value co-creation among actors in a business-to-business environment. Service-dominant (S-D) logic of marketing is used as a theoretical lens to view at the process of value co-creation.

Using an interpretive methodological approach, the authors collected empirical material from a single case based in New Zealand. The case was based on the collaboration, interaction and relationship between vendor and client during an information and communication technology (ICT) systems integration project. The unit of analysis was “points of value creation.” Empirical material came from observation, in-depth interviews and documents such as meeting notes and email logs. Interpretation highlighted four features of the value co-creation process: motivators, outcomes, disadvantages and management. Moreover, personal and network aspects of value co-creation process emerged.

The findings of this study capture benefits, as well as conflicts and frustrations, in a value co-creation process. Furthermore, it provides future research motivations for researchers currently working to develop S-D logic of marketing.

It is suggested that there is relatively little direction on how value co-creation process should be undertaken in different contexts such as retail, education, health care and ICT. There is a need to understand the dynamics and specification of value co-creation process, as the literature is scarce in this field.

The purpose of this study is to discuss the Darcy–Forchheimer nanoliquid bio-convection flow by stretching cylinder/plate with modified heat and mass fluxes, activation energy and gyrotactic motile microorganism features.

The proposed flow model is based on flow rate, temperature of nanomaterials, volume fraction of nanoparticles and gyrotactic motile microorganisms. Heat and mass transport of nanoliquid is captured by the usage of popular Buongiorno relation, which allows us to evaluate novel characteristics of thermophoresis diffusion and Brownian movement. Additionally, Wu’s slip (second-order slip) mechanisms with double stratification are incorporated. For numerical and graphical results, the built-in bvp4c technique in computational software MATLAB along with shooting technique is used.

The influence of key elements is illustrated pictorially. Velocity decays for higher magnitude of first- and second-order velocity slips and bioconvection Rayleigh number. The velocity of fluid has an inverse relation with mixed convection parameter and local inertia coefficient. Temperature field enhances with the increase in estimation of thermal stratification Biot number and radiation parameter. A similar situation for concentration field is observed for mixed convection parameter and concentration relaxation parameter. Microorganism concentration profile decreases for higher values of bioconvection Lewis number and Peclet number. A detail discussion is given to see how the graphical aspects justify the physical ones.

To the best of the authors’ knowledge, original research work is not yet available in existing literature.

This paper aims to enumerate the factors influencing the process of decision-making, those which are mostly related to personality affected by cultures and sub-cultures dominating the individual’s life, such as possessing internal and external control agents, tolerating or avoiding ambiguities and its comparison with a belief in fatalism or free will and the effect of these beliefs and traits on the personality.

This paper demonstrates that these beliefs would result in the formation of different personal characteristics; for instance, active and passive individuals and those who are keen to discover problems to solve them and change the existing state of affairs to the desired ones. Some individuals can make decisions and some cannot.

The researcher has tried to make a comparative study and address the genuine Islamic culture as manifested in the Quran, Prophet’s Tradition and Shiite way of life. In this relation, the case studies are the Battle of Uhud and the Quranic verses related to the research to demonstrate that a Muslim manager, by dismissing fatalism while trusting in God’s blessing, could be distinguished from others.

This study adds to our knowledge that managers can make sound decisions by relying on their Shiite culture, self-confidence, rational thinking, consulting the wise people and above all trusting in God.

This paper aims to develop a fuzzy logic-based algorithm to predict the intermetallic compound (IMC) size and mechanical properties of soldering material, Sn96.5-Ag3.0-Cu0.5 (SAC305) alloy, at different levels of temperature. The reliability of solder joint in materials selection is critical in terms of temperature, mechanical properties and environmental aspects. Owing to a wide range of soldering materials available, the selection space finds a fuzzy characteristic.

The developed algorithm takes thermal aging temperature for SAC305 alloy as input and converts it into fuzzy domain. These fuzzified values are then subjected to a fuzzy rule base, where a set of rules determines the IMC size and mechanical properties, such as yield strength (YS) and ultimate tensile strength (UTS) of SAC305 alloy. The algorithm is successfully simulated for various input thermal aging temperatures. To analyze and validate the developed algorithm, an SAC305 lead (Pb)-free solder alloy is developed and thermally aged at 40, 60 and 100°C temperature.

The experimental results indicate an average IMCs size of 5.967 (in Pixels), 19.850 N/mm² YS and 22.740 N/mm² UTS for SAC305 alloy when thermally aged at an elevated temperature of 140°C. In comparison, the simulation results predicted 5.895 (in Pixels) average IMCs size, 19.875 N/mm² YS and 22.480 N/mm² UTS for SAC305 alloy at 140°C thermally aged temperature.

From the experimental and simulated results, it is evident that the fuzzy-based developed algorithm can be used effectively to predict the IMCs size and mechanical properties of SAC305 at various aging temperatures, for the first time.

The aim of the paper is to rank and analyze the key strategies to sustainable finance adoption in the manufacturing sector using Fuzzy Delphi method (FDM), Interpretive Structural Modeling (ISM) and MICMAC (impact matrix cross-reference multiplication applied to a classification) analysis.

The study develops a novel framework to identify and analyze the mutual relationships among set of sustainable policies using extensive literature survey and experts opinion. Initially, the study found 14 strategies to implement sustainable finance with the help of vast literature. Then, the list of identified factors were screened through Fuzzy Delphi Method (FDM). Based on driving and dependence power, the final list of factors are divided into three categories.

The study findings reveal that “environmental rules and practices”, “financial incentives, tax reduction and subsidy”, have strongest driving power for promoting sustainable financial system in Pakistani manufacturing sector. Furthermore, “environmental awareness” and “long term vision” are found to be highly influenced by other corresponding elements in a system.

The ISM approach assists professionals, academics, and managers in identifying and ranking policies in implementing green business techniques. The hierarchical representation of ISM results provides a roadmap for decision-makers to navigate and prioritize factors effectively, facilitating the implementation of strategies that contribute to sustainable growth within organizations.

The study results provide interesting clues regarding green finance policies that provide the foundations, incentives, protections or other provisions that support the ecological conservancy’s mission. Specifically, the findings guide that government must offer research grants to private enterprises, research and development institutions, and universities to promote environmental protection and develop transformative technologies such as waste recycling, renewable energy, carbon capture, and power consumption.

The exploration of strategies for sustainable finance adoption with the help of mixed methodological approach and classification of these strategies on the basis of importance level is a new attempt in the field of manufacturing sector.

Corporate social responsibility (CSR) promotes society, reduces risk, and encourages ethical business practices. Due to its relevance, we study how CSR influences firms' sustainable development. We analyze data from 427 New York Stock Exchange (NYSE)-listed firms from 2008 to 2022. The Refinitiv environmental and social score is used to measure CSR, whereas for firms' sustainable development we rely on corporate sustainable growth rate (SGR) and market-based metrics. The analysis employs various econometric techniques, including ordinary least square, fixed effect regression, two-stage least square, generalized method of moment, and simultaneous quantile regression. The results indicate that CSR has a positive and significant effect on firms' sustainable development across all models. This relationship supports the notion that socially responsible business can contribute to long-term financial sustainability in line with “stakeholder theory”, indicating that companies should accommodate the concerns of various stakeholders, including society and the environment, to achieve sustainable development. We evaluate how the conditional distributions of SGR and firms’ value are affected by CSR, categorizing them into high, moderate, and low regimes. The quantile regression estimates indicate that the effect of CSR is more pronounced at upper quantiles, followed by moderate and low regimes. These findings underscore the importance of considering CSR in assessing the SGR and enterprises market value. We also confirm that our results are robust under range of different econometrics' methods. Finally, we enlighten current literature, and our research has useful policy implications for management and investors.

To achieve sustainable development objectives, managers are encouraged to implement best practices in corporate social and environmental responsibility within their establishments. The main objective of this chapter is to assess the quality of environmental, social, and governance (ESG) communication for Moroccan financial institutions. This chapter is devoted to the content analysis of the annual reports of 14 financial institutions listed in Morocco regarding ESG strategies between 2017 and 2021. The reference assessment tool we used is the Global Reporting Initiative (GRI) standards (2016), based on six principles. Each principle contains requirements and guidance on how to apply it. These principles are summarized in the following: Accuracy, Balance, Clarity, Comparability, Reliability, and Timeliness. The sample is composed of 14 financial institutions listed on the Casablanca Stock Exchange. After checking the content of the annual reports of listed Moroccan financial institutions, we detected several shortcomings in Corporate Social Responsibility (CSR) reporting behavior. Companies avoid disclosing information about negative events and performance. We saw this as a bad sign for stakeholders. The results showed a significant gap between the GRI standards and the content of the annual reports. These weaknesses mainly concern accuracy, comparability, and, timeliness, hence the need to carry out corrective measures to improve the quality of ESG practices within Moroccan financial institutions. One of the limitations of this research is its focus on financial institutions. However, it is possible to broaden the scope of the research by assessing the quality of ESG communication for nonfinancial companies.

Leaders, consultants and researchers are increasingly focused on enhancing the adoption of social networking tools to increase knowledge sharing practices and the success rate of organizations. This study was conducted to explore the adoption of social networking applications in public and private sector universities. This paper aims to discover how social networking applications can foster knowledge sharing practices among employees of universities.

The study is based on an interpretivist, qualitative research design using grounded theory. Fifty-two semi-structured and non-directive interviews were undertaken with employees of public and private sector universities. Participants were selected using purposive sampling, and thematic analysis was performed using the NVivo 11-Plus.

The study highlights how social media networking applications can be used effectively and efficiently to foster knowledge sharing practices in the workplace. Five emerging themes are identified as follows. Social media networking tools can enhance new knowledge, increase employee skills, promote a knowledge sharing culture, foster effective communication and increase employee involvement in research activities.

Social networking applications have received attention because executives and researchers are increasingly focused on finding new ways to use social networking tools in business. The effective and efficient use of social networking tools helps organizations to foster knowledge amongst employees, and can address various critical issues such as knowledge hoarding, lowers levels of skills and knowledge, poor communication and employee involvement, the lack of desire to share knowledge, and resistance toward technology.

A brief systematic literature review on social media and knowledge sharing highlights that only 11 per cent of studies found that examined the link between social media and knowledge sharing practices across the world. The study therefore represents an effort to shed new light on the adoption of social networking tools in the context of knowledge sharing among universities employees. Social media applications have become popular across the world, and the speed of their uptake is evolving rapidly. However, their contribution toward organizational change is not yet known.