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A variety of gases, including water vapor (H2O), carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), add to the radiative forcing of Earth's atmosphere, meaning that they absorb certain wavelengths of infrared radiation (heat) that is leaving the Earth and thus raise the temperature of its atmosphere. Since glass has the same effect on the loss of heat from a greenhouse, these gases are known as “greenhouse” gases. It is fortunate that these gases are found in the atmosphere; without its natural greenhouse effect, Earth's temperature would be below the freezing point, and all waters on its surface would be ice. However, for the past 100 years or so, the concentrations of CO2, CH4, and N2O in the atmosphere have been rising as a result of human activities. An increase in the radiative forcing of Earth's atmosphere is destined to cause global warming, superimposed on the natural climate cycles that have characterized Earth's history.

This study aims to investigate the effect of financial satisfaction (FS) on customer loyalty in the banking industry.

The study followed an explanatory research design using responses from 334 respondents from commercial banks in Tanzania. A stepwise regression analysis was used to validate the relevance of the study model.

The results indicate a positive and statistically significant association between customer loyalty and FS with levels of assets (β = 0.598, p < 0.001), savings (β = 0.186, p < 0.001) and debts (β = 0.065, p < 0.001). Of the three dimensions of FS, the level of assets had the strongest contribution to customer loyalty, followed by the level of savings and debts, in that order.

The study used a model of FS that was linked to customer loyalty in the Tanzanian banking industry. It is recommended that the model be tested in other environments to increase the generalizability of the findings.

This study provides an alternative way for banks to strengthen customer loyalty by enhancing FS.

The FS model (Joo and Grable, 2004) and the social exchange theory (Blau, 1964) are used in this study to propose a model of customer loyalty in the banking industry. Customer loyalty and FS have not been connected in prior studies.

Financial satisfaction is a potential ambition of individuals' lives that requires well-strategized economic behaviors. The authors examine the impact of various factors on the financial behavior (FB) and financial satisfaction (FIS) of individuals in India's National Capital Region (NCR).

Through a literature review, a survey questionnaire was formulated using existing scales on FIS. For more in-depth insights, data are obtained from 427 respondents in the NCR region using self-administered questionnaires. This article used “partial least square structural equation modeling (PLS-SEM)” to inspect the hypothesized model of individuals' FIS.

According to the study results, financial attitude (FA), financial self-efficacy (FSE), financial knowledge (FK) and demographic characteristics (DC) significantly influence FB. Conversely, financial stress (FS) negatively impacts FB. It also highlights that FA, FSE, FK and FB all significantly impact FIS. Nevertheless, FS and DC insignificantly influence FIS.

To the best knowledge of the authors, this article is an initial attempt to offer a novel perspective of individuals' FB and FIS in India. It would help the government and stakeholders by providing various pioneering economic schemes and making policies that help increase individuals' FIS.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0239

The purpose of this paper is to augment the present literature on the relationship between relative financial deprivation (RFD), financial anxiety (FA), access to Islamic financing (AIF) and financial satisfaction (FS) of micro, small and medium enterprise (MSME) owners. Principally, the study examines the moderating role of AIF on the RFD–FS and FA–FS relationships.

Quantitative survey approach was used to collect data through self-administered questionnaires from MSME owners. Partial least square (PLS) structural equation modelling (SEM) version 3.2.7 was used to analyse 208 retrieved questionnaires.

The results confirm that the RFD–FS relationship is negatively significant, but the FA–FS relationship is not significant. However, the direct relationship between AIF and FS is positively significant. Conversely, AIF failed to moderate the RFD–FS and FA–FS relationships.

The study specifies that the existence of RFD will decrease the FS of MSME owners, and therefore, RFD should be eliminated at all costs. However, the greater the AIF, the stronger will be the FS of MSME owners. Thus, policymakers and owners of MSMEs should emphasize on AIF to foster FS. Nevertheless, AIF could not redirect the negative impact of RFD and FA on MSME owners’ FS.

This study, to the best of the authors’ knowledge, is the first to examine the moderating role of AIF on the RFD–FS and FA–FS relationships among MSME owners. Notwithstanding the importance of small business owners for economic development, the literature on MSME entrepreneurs FS has been neglected. This study also uncovers new theoretical knowledge by revealing the inability of AIF to alter the RFD–FS and FA–FS relationships.

In this chapter, we reexamine the notion that socially responsible behavior by firms will lead to increased financial performance. By identifying the underlying processes, institutional settings, and actors involved, we present a framework that is more attentive to the multiplicity and conditionality of the mechanisms operating in the often tenuous connection between firms’ social behavior and financial performance. Building and expanding upon existing analyses of the CSP–CFP linkage, our model helps to explain the mixed results from a wide range of empirical studies which examine this link. It also provides a novel theoretical account to help guide future researches that are more attentive to conditionalities and contextual contingencies.

This paper aims to investigate how brand identity is co-created, with a specific focus on how employees contributed to the process in a five-star hotel setting. The focus of this study is on understanding how two hotels planned and executed their brand identity strategy simultaneously, differentiating one from the other and how employees actively participated in this process.

A longitudinal case study approach was adopted, centred on building the identity of two luxury hotels owned by a single company in Seoul, Korea. Various organizational documents were collected and analyzed to understand the brand identity of the hotels and how brand co-creation has been implemented. In addition, semi-structured in-depth interviews were conducted with 42 employees to understand the brand co-creation process from their perspective.

The brand co-creation process of the hotels was conducted simultaneously and evolved over the following four phases, with employees’ roles varying in each phase, namely, establishing a clear brand identity strategy; designing and selecting sensory identity; aligning organizational identity; and delivering brand identity through external communication. Employees that participated in brand co-creation enhanced their brand knowledge, developed emotional bonds with the brand and were motivated to deliver the brand identity. Furthermore, those that immersed themselves in the new brand identities were able to enable positive guest perceptions towards the brand image, which consequently enhanced employees’ pride in their work.

This research advances the brand management literature in defining branding and brand identity elements, as well as emphasizing the importance of consistent branding. In addition, the current study expands the scope of internal branding, highlighting the process of brand co-creation and the role of employees as active participants. Moreover, it reveals that employees’ participation enhances not only their brand knowledge but also their emotional bonds with the brand. The proposed conceptual framework demonstrates the flow of branding elements, brand identity elements and the “infinite loop” of employee participation in brand co-creation.

The case study approach adopted here enables an in-depth investigation of employee participation in brand co-creation, including their different roles and activities in the process; a phenomenon that has not been adequately explored in previous research.

The main purpose of the paper is the validation of different modelling strategies for turbulent swirling flow of an incompressible fluid in an idealized swirl combustor.

Experiments have been performed and computations carried out for a water test rig, for a Reynolds number of 4,600 based on combustor inlet mean axial velocity and diameter. Two cases have been investigated, one low swirl and the other high swirl intensity. Measurements of time‐averaged velocity components and corresponding rms turbulence intensities were measured using laser Doppler anemometer, along radial traverses at different axial locations. In the three‐dimensional, unsteady computations, large eddy simulation (LES) and URANS (Unsteady Reynolds Averaged Navier‐Stokes Equations or Reynolds Averaged Numerical Simulations) RSMs (Reynolds‐stress models) are basically employed as modelling strategies for turbulence. To model subgrid‐scale turbulence for LES, the models due to Smagorinsky and Voke are used. No‐model LES and coarse‐grid direct numerical simulation computations are also performed for one of the cases.

The predictions are compared with the measurements and reveal that LES provided the best overall accuracy for all of the cases, whereas no significant difference between the Smagorinsky and Voke models are observed for the time‐averaged velocity components.

This paper provides additional valuable information on the performance of various modelling strategies for turbulent swirling flows.

The purpose of this paper is to develop a numerical model used for calculating the nonlinearities of large-scale hydro-pneumatic suspension (HPS) and investigating the effects of variations in flow path and operational parameter on suspension damping response.

To parameterization nonlinearities of the suspension, the author developed a two-phase flow model of a large-scale HPS based on computational fluid dynamics and volume of fluid method. Considerable effort was made to verify the nonlinearities by field measurements carried out on an off-highway mining dump truck. The investigation of effects of variations in flow path and operational parameter on damping characteristics highlights the necessity of the numerical simulation.

The two-phase flow model can represent the gas-oil interaction and simulate the suspension operational movement conveniently. Transient numerical simulation results can be used to model the nonlinearities of large-scale HPS accurately. A new phenomenon was discovered that the pressure in rebound chamber presents reduction trend during compression stroke in special cases. It has never been reported before.

Developed a two-phase flow model of a large-scale HPS, which can manage the gas-oil interaction and capture the complex flow field structure in it. The paper is the first study to model the nonlinearities of a large-scale HPS used in off-highway mining dump truck through transient numerical simulation. Compared with previous researches, such a research not only gives new insight and thorough understanding into the suspension internal fluid structure but also can give good guiding opinions to the optimal design of HPS.

This chapter outlines the need for global actions on mitigating greenhouse gas (GHG) emissions and introduces the six chapters contained in this issue. The impact of GHG emissions on the environment undoubtedly exacerbates the consequence of climate change and is not constrained within the borders of the emitting countries and companies. Emitting countries (and companies) export much of the harm created by GHG emissions given that the earth's atmosphere intermixes globally. GHG top emitters are not necessarily the victims of its consequences, since the extent to which each country is affected by adverse weather such as floods depends on the distribution of climate vulnerability rather than jurisdictional emission. Hence, global collective actions are required to find plausible solutions to reduce GHG emissions. This issue consists of one literature review and five empirical chapters. The insight from the literature review highlights the dearth of studies addressing GHG emissions reporting and management in Africa and the Middle East. The first three empirical chapters examine the efficacy of corporate governance in facilitating GHG disclosures and performance in China, the United States and India. The fifth chapter examines the effect of the Paris Agreement on climate change disclosures in South Africa. There is mixed evidence as to how corporate governance affects GHG disclosure, but it is clear that the Paris Agreement had a positive impact on climate change disclosures in South Africa. The sixth chapter examines the social determinants of GHG in top 100 emitting countries and documents evidence that energy use determines the extent of GHG emissions in both developed and developing countries. However, the results show that other social determinants such as urbanisation, literacy and corruption contribute in varying ways to GHG emissions in developing countries. Taken together, the collection of chapters in this issue provides incremental understanding to the effect of GHG emissions and necessary actions that can help in mitigating them.

Various staff methodologies of a just‐in‐time (JIT) apparel assembly cell with various numbers of walking workers, and various levels of process time variation were discussed and evaluated by simulation models. Decouplers are placed between two workstations (or subcells) to improve capability and flexibility in an apparel cell. Decouplers enable JIT pull cells to operate with minimum stock‐on‐hand and allow parts and information to flow in opposite directions. Decouplers also provide the JIT pull cell with “make one, check one, and pass one on” capability. A manned assembly cell’s throughput rate depends on the number of workers in the cell and on the variation in each worker’s processing time. Normally, as the processing time variation increases, the throughput rate decreases. However, these simulation studies show that doubling the decoupler capacity increases the cell’s output, even as the processing time variation increases.