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In recent years, both homeowners and the research community have shown a growing interest in home automation devices and smart homes. About one-third of all primary energy resources are used by homes worldwide, which consume significant energy. This has raised concerns regarding energy accessibility and the quick depletion of energy sources, the growing need for building services, the improvement of comfortable lifestyles and the increased time spent at home. This study aims to offer a comprehensive and significant examination of state-of-the-art intelligent control systems used for managing energy and ensuring comfort in smart homes.

After conducting a comprehensive search in the Scopus database, a total of 55 articles were carefully selected. Using the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4 SLR) technique for systematic reviews, the current study synthesized prior research on energy efficiency in smart homes and conducted a detailed descriptive analysis to describe the current state of knowledge.

Future research on energy efficiency in smart homes could delve into various prospective areas that would strengthen existing knowledge and practices. Using innovative technologies in smart homes can reduce energy consumption in residential areas by offering convenience and improved features.

To the best of the authors’ knowledge, this is the first systematic literature review focused on intelligent control systems for energy and comfort management in smart homes, as well as residents’ interaction with indoor comfort.

Material extrusion-based additive manufacturing is a prominent manufacturing technique to fabricate complex geometrical three-dimensional (3D) parts. Despite the indisputable advantages of material extrusion-based technique, the poor surface and subsurface integrity hinder the industrial application of this technology. The purpose of this study is introducing the hot air jet treatment (HAJ) technique for surface treatment of additive manufactured parts.

In the presented research, novel theoretical formulation and finite element models are developed to study and model the polishing mechanism of printed parts surface through the HAJ technique. The model correlates reflow material volume, layer width and layer height. The reflow material volume is a function of treatment temperature, treatment velocity and HAJ velocity. The values of reflow material volume are obtained through the finite element modeling model due to the complexity of the interactions between thermal and mechanical phenomena. The theoretical model presumptions are validated through experiments, and the results show that the treatment parameters have a significant impact on the surface characteristics, hardness and dimensional variations of the treated surface.

The results demonstrate that the average value of error between the calculated theoretical results and experimental results is 14.3%. Meanwhile, the 3D plots of Ra and Rq revealed that the maximum values of Ra and Rq reduction percentages at 255°C, 270°C, 285°C and 300°C treatment temperatures are (35.9%, 33.9%), (77.6%,76.4%), (94%, 93.8%) and (85.1%, 84%), respectively. The scanning electron microscope results illustrate three different treatment zones and the treatment-induced and manufacturing-induced entrapped air relief phenomenon. The measured results of hardness variation percentages and dimensional deviation percentages at different regimes are (8.33%, 0.19%), (10.55%, 0.31%) and (−0.27%, 0.34%), respectively.

While some studies have investigated the effect of the HAJ process on the structural integrity of manufactured items, there is a dearth of research on the underlying treatment mechanism, the integrity of the treated surface and the subsurface characteristics of the treated surface.

The purpose of this study is to examine the transformation expectations and well-being of lenders as a consequence of participation in peer-to-peer (p2p) lending in India. The study tested the influence of transformation expectations on well-being, social connectedness on transformation expectations and the influence of customer participation on financial empowerment of borrowers.

A cross-sectional survey research design was adopted to collect data from 434 customers in India. Structural equation modelling procedure was performed to test the hypothesized relationships.

The findings show that relational transformation expectations leads to well-being, while social connectedness influences self and relational transformation expectations. Further, customer participation has a positive influence on financial empowerment of borrowers.

Managers may use these findings to create suitable marketing strategies for increasing customer participation in p2p lending.

Previous studies on transformative services have shown that well-being can be achieved through participation in services that are transformative by design, while this study has established that lender participation in peer-to-peer lending can result in relational transformation expectations and lead to well-being. Also, the current study has shown that social connectedness is an antecedent of transformation expectations.

Customers can participate in new product development (NPD) in many ways. Drawing on the knowledge-based view (KBV) and innovation literature, this study aims to contrast two main product development activity types, i.e. problem-solving and decision-making. It proposes customers play distinct roles if they get involved in these activities, which influence NPD outcomes differently. It also explores customer need specificity as a boundary condition for the above-mentioned relationships.

The authors collected survey data from 308 managers in the innovation domain.

Customer involvement in problem-solving and decision-making distinctively influences new product innovativeness and development speed. Customer need specificity interacts with the two co-development types differently to impact these NPD outcomes further.

This research extends the KBV and addresses the inconsistent findings in the literature regarding customer involvement as co-developers in innovation. It also provides novel insights into how knowledge characteristics like customer need specificity can direct co-developing activities to generate distinct NPD results.

This paper offers practical implications for firms on how to involve customers in developing innovative new products while managing development speed.

Prior research has yet to distinguish customer responsibilities related to co-development activities. This research fills this gap and offers novel insights that problem-solving and decision-making have opposite impacts on different NPD outcomes. This research demonstrates that finer knowledge about customer involvement responsibilities is needed for critical NPD outcomes.

Additive manufacturing also known as 3D printing is an evolving advanced manufacturing technology critical for the new era of complex machinery and operating systems. Manufacturing systems are increasingly faced with risk of attacks not only by traditional malicious actors such as hackers and cyber-criminals but also by some competitors and organizations engaged in corporate espionage. This paper aims to elaborate a plausible risk practice of designing and demonstrate a case study for the compromised-based malicious for polymer 3D printing system.

This study assumes conditions when a machine was compromised and evaluates the effect of post compromised attack by studying its effects on tensile dog bone specimens as the printed object. The designed algorithm removed predetermined specific number of layers from the tensile samples. The samples were visually identical in terms of external physical dimensions even after removal of the layers. Samples were examined nondestructively for density. Additionally, destructive uniaxial tensile tests were carried out on the modified samples and compared to the unmodified sample as a control for various mechanical properties. It is worth noting that the current approach was adapted for illustrating the impact of cyber altercations on properties of additively produced parts in a quantitative manner. It concurrently pointed towards the vulnerabilities of advanced manufacturing systems and a need for designing robust mitigation/defense mechanism against the cyber altercations.

Density, Young’s modulus and maximum strength steadily decreased with an increase in the number of missing layers, whereas a no clear trend was observed in the case of % elongation. Post tensile test observations of the sample cross-sections confirmed the successful removal of the layers from the samples by the designed method. As a result, the current work presented a cyber-attack model and its quantitative implications on the mechanical properties of 3D printed objects.

To the best of the authors’ knowledge, this is the original work from the team. It is currently not under consideration for publication in any other avenue. The paper provides quantitative approach of realizing impact of cyber intrusions on deteriorated performance of additively manufactured products. It also enlists important intrusion mechanisms relevant to additive manufacturing.

This study aims to investigate the impact of perceived subtle and overt discrimination on employees’ emotional exhaustion, along with potential mitigating factors such as social support, organizational inclusion and religiosity.

The research is based on a sample of 359 Muslim employees working in US restaurants. The data are analyzed using fuzzy-set Qualitative Comparative Techniques.

The results reveal that high/low emotional exhaustion in tourism and hospitality sector is triggered by multiple combinations of high/low levels of subtle and overt discrimination, family and friends support and religiosity. Such findings hold important implications to both theory and practice.

By using fuzzy-set Qualitative Comparative Analysis, this research stands out from studies on discrimination that use conventional statistical methods. It proposes several solutions leading to a single outcome (high/low emotional exhaustion). This new approach contributes to the advancement of theory in this context.

This study shows that there is no single best solution for high/low emotional exhaustion. Stated differently, multiple solutions provide several ways for firms to mitigate employees’ emotional exhaustion.

Religious discrimination in workplaces is increasing at an alarming rate, particularly in customer facing roles, such as the tourism and hospitality industry. This is having detrimental effects on employees from minority groups, often leading to excessive levels of emotional exhaustion. Nonetheless, the extant literature has somewhat understated the consequences of this issue, creating a void that needs to be fulfilled. This study addresses this gap.

This research examined the role of post-conflict marketing in supporting businesses within conflict-affected regions, aligning with the objectives of UN Sustainable Development Goal 16 to foster peaceful societies amid increasing global conflicts.

Drawing from the theories of social egalitarianism and consumer discrimination, the study explored the moderating influence of conflict stakeholder on consumer willingness to pay (WTP). Understanding such stakeholder roles underscores post-conflict marketing's potential for economic growth and stability. Two experiments assessed the WTP, WTP a premium price and expected attractiveness of strategic products and services developed by key stakeholders (ex-guerrilla, ex-paramilitaries, ex-militaries, victims and other citizens) in the Colombian post-conflict context among both local (Colombian) and foreign (Japanese) consumers.

Results revealed that products associated with victims consistently received higher ratings. A notable contrast emerged as Japanese consumers favoured products of victims over those of regular citizens while rating offerings from ex-paramilitary and retired military stakeholders similarly, unlike their Colombian counterparts.

The study acknowledges limitations regarding participants' geographic location and experimental design, providing insights for future research and potential refinements.

The findings offer insights into the impact of consumer attitudes on post-conflict stakeholder entrepreneurship in foreign and local markets, thus contributing relevant knowledge to support market success.

This is the first study assessing the role of various post-conflict stakeholders in influencing consumer evaluations of products and services. Consequently, these findings contribute to the foundational understanding of post-conflict marketing and offer a benchmark for business development in conflict-affected areas.

Examinar el papel del mercadeo en el apoyo a emprendimientos en regiones afectadas por conflictos, alineándose con el ODS 16 de la ONU para impulsar sociedades pacíficas en medio del aumento de los conflictos.

Basada en las teorías del igualitarismo social y discriminación del consumidor, el estudio exploró la influencia de las percepciones hacia actores del posconflicto en el comportamiento de consumo. Dos experimentos evaluaron la disposición a pagar (DAP), DAP un precio superior y la atractividad de productos y servicios desarrollados por actores del posconflicto colombiano (exguerrilleros, exparamilitares, exmilitares, víctimas, otros ciudadanos) entre consumidores locales (colombianos) y extranjeros (japoneses).

Los productos desarrollados por las víctimas recibieron valoraciones más altas. Además, los consumidores japoneses, a diferencia de los colombianos, prefirieron los productos de las víctimas a los de “otros ciudadanos” y valoraron de manera similar los de exparamilitares y exmilitares.

Los resultados ofrecen una visión precisa del impacto de las actitudes de los consumidores sobre los productores del posconflicto en los mercados extranjeros y locales, contribuyendo a la reintegración económica, el crecimiento y la reconciliación social.

El estudio reconoce posibles limitaciones en el diseño experimental, proporcionando ideas para investigaciones futuras.

Se trata del primer estudio que evalúa el papel de los actores de un posconflicto como productores en la valoración de productos y servicios. Estos resultados contribuyen a la comprensión del mercadeo del posconflicto y ofrecen un punto de referencia para el desarrollo empresarial en zonas afectadas por conflictos.

The study has two objectives: (1) expand our knowledge of the relationship between unethical behaviour and both trust and satisfaction and (2) demonstrate that unethical behaviour research should be examined multi-dimensionally.

Data were collected by resorting to a mixed methods approach. First, individual interviews were performed with 31 bank consumers from six main commercial banks in Bukavu city in the Democratic Republic of the Congo. Interview notes were submitted for content analysis to identify items and components that underpin the unethical practices construct. Second, a quantitative survey was conducted with 410 consumers from the same six banks. An aggregated-disaggregated structural equations modelling approach was used to test the impact of unethical practices on relationship outcomes through two studies. Study 1 tested a model that links unethical behaviour as a one-dimensional construct to trust and satisfaction. Study 2 tested a model that directly connects the four specific unethical behaviour components to both trust and satisfaction.

Results from study 1 reveal that perceived unethical behaviour negatively influences consumer trust. Results also confirm that trust positively influences customer satisfaction. Results from study 2 confirm that unresponsive, disrespect and lying behaviours negatively influence both trust and satisfaction. Banks which are involving in those specific unethical behaviours can neither satisfy their consumers, nor maintain a sustainable and profitable relationship with them. Therefore, unethical behaviours harm the relationships outcomes in the banking sector.

The perceived unethical behaviour scale derives from a single data set and its reliability and validity need to be improved. Relationships between constructs are tested in a more direct way and ignore moderating variables. Perceived unethical behaviour is connected to relationship outcome variables while its impact on firms’ metrics have been ignored.

Banks have to understand customers’ perception of unethical behaviours and find a way to overcome them. Banks should recruit, motivate and retain employees who demonstrate an ethical inclination in the service encounter and create structures and mechanisms in order to monitor and manage unethical practices.

Banks employees' unethical behaviour and practices not only damage the trust and reputation of banks but also can lead to frustration on the part of customers and damage their relationship with the institution. Our paper is a warning of this danger and might improve the social interactions between organisations (in general) and customers.

Unethical behaviour is measured with a four-component scale in contrast to previous studies that have used bi-dimensional or one-dimensional scales. The study tests a disaggregated model that links four components of perceived unethical behaviour to relationship outcome variables. Perceived unethical behaviours are analysed from the customers’ perspective by resorting to mixed methods strategy.

This paper is part of the Special Issue series Improving Life on Planet Earth – A Call to Action for Service Research to Achieve the Sustainable Development Goals (SDG). This paper aims to provide the groundwork for Service Research Theme 2 – services that provide OPPORTUNITY for all humans. Service Research Theme 2 comprises SDG4, quality education; SDG5, gender equality; and SDG10, reduced inequalities and seeks to mobilize ServCollab’s aspirations to reduce human suffering, improve human well-being and enable well-becoming.

A scoping review appraising existing service research related to SDG4, SDG5 and SDG10 was conducted, establishing interlinkages, identifying patterns within each SDG and then assembling a research agenda for service researchers.

The scoping review identifies 18 patterns in service research (six patterns per SDG) pertaining to Service Research Theme 2. Common patterns among the SDG4, SDG5 and SDG10 included underrepresentation, consumer-centricity, the absence of explicit SDG linkages, the predominance of one theoretical anchor and the preference for quantitative studies, particularly surveys. Overall, the scoping review found that service research related to Service Research Theme 2 is patchy in that it is overdeveloped in some topics, methodologies and methods yet underdeveloped or silent in others.

The high-level research problem of Service Research Theme 2 is as follows: How have services provided OPPORTUNITY for all humans? This paper analyzes patterns in service research and, from these patterns, assembles a research agenda that sparks and guides further research.

This study investigates the possible curvilinear relationship between operational interdependency and supply chain performance as well as the contingency effect of supply chain disruptions, in terms of disruption orientation and disruption impact.

Path analysis was employed to test the hypotheses using the data collected from Chinese manufacturers.

The results confirm an inverted U-shape effect of operational interdependency. As level of buyer-supplier operational dependency increase, the supply chain performance is enhanced. However, the benefits of operational interdependency diminish beyond a certain point. Additionally, the findings of this study show the disruption orientations positively moderate the relationship between interdependency and performance, whereas the effect of disruption impact is not significant.

The findings of this study provide an explanation to the theoretical gap about the equivocal results of the effect of dependency, which provide new insights into the literature regarding buyer-supplier relationships. Furthermore, this paper identifies the moderating role of supply chain disruption in the relationship between operational interdependency and supply chain performance, which provide further explanation about the mixed results of the effect of dependency. The results confirmed that supply chain disruption orientation positively moderate the relationship between operational interdependency and supply chain performance.