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Modular capacity units enable rapid reconfiguration, providing tactical flexibility to efficiently meet customer demand during disruptions and ensuring sustainability. Moreover, the Physical Internet (PI) enhances the potential of modular capacity in addressing efficiency, sustainability, and resilience challenges. To evaluate the sustainability and resilience advantages of the PI-enabled reconfigurable modular system (PI-M system), this paper studies a PI-enabled sustainable and resilient production-routing problem with modular capacity.

We develop a multi-objective optimization model to assess the sustainability and resilience benefits of combining PI and modular capacity in a chemical industry case study. A hybrid solution approach, combining the augmented e-constraint method, construction heuristic, and hybrid adaptive large neighborhood search, is developed.

The experimental results reveal that the proposed solution approach is capable of obtaining better solutions than the Gurobi and the existing heuristic in a shorter running time. Moreover, compared with the traditional system, the PI only and traditional with modular capacity systems, PI-M system has significant advantages in both sustainability and resilience.

To the best of our knowledge, this study is the first to integrate the PI and modular capacity and investigate sustainability and resilience in the production-routing problem.

The purpose of this paper is to investigate the electrochemical corrosion behavior of type 444 stainless steel (SS) in synthetic tap water from 25°C to 80°C, i.e. the operation environment of the electric water heater.

The corrosion behavior was studied by using electrochemical measurements such as electrochemical impedance spectroscopy and polarization curve. The specimen surfaces were observed with scanning electron microscopy. The passive films were characterized with X-ray photoelectron spectroscopy.

In the typical tap water, 444 SS passivates spontaneously under different temperatures. The passive films formed at higher temperatures contain relatively less Cr-species and more Cl⁻ ions, resulting in lower polarization resistances. The stable pitting corrosion takes place in the potential region of oxygen evolution as the temperature increases to about 55°C. The critical Cl⁻ concentration of pitting corrosion reduces from about 160 mg L⁻¹ to 60 mg L⁻¹ with changing temperature from 25°C to 80°C.

The pitting corrosion probability was assessed through the statistical analysis of tap water quality. The results are useful for the application of 444 SS as well as the design of electric water heater.

This paper shows the variation of polarization resistance, pitting potential, passive film composition and critical pitting chloride concentration with the temperature of tap water. It is of great significance for the development and application of SS in tap water environments.

This study aimed to investigate positive associations between three main motivations (social interaction, information and entertainment) for the use of social network sites (SNSs) and users' well-being, as well as the multiple mediating effects of perceived social support, positive and honest self-presentation.

A sample of 759 active users of SNSs (WeChat Moments, Qzone and Weibo) aged 14–43 years was measured with online questionnaires. Correlation analysis and structural equation modeling were implemented to examine the corresponding hypotheses.

The results showed the overall intensity of motivations was positively associated with users' well-being; perceived social support and positive self-presentation played intermediary roles and honest self-presentation and perceived social support had a chain mediation effect. However, the motivations of social interaction, information and entertainment indirectly affected users' well-being through three different mediation paths.

Although some studies have investigated the effects of motivations (including social interaction, information and entertainment) for SNS use on users' well-being, there has not been a consistent conclusion. The findings may shed light on the motivations for SNS use and how they may affect people's well-being in the digital era, thereby promoting their healthy use of SNSs as well as improved interface design and user management of SNSs.

Recognizing the differences between generations Y and Z, this exploratory study uses generational cohort theory as a framework to examine the brand perception of McDonald's, an international brand which has grown up with consumers for over 30 years in China. The paper aims to discuss this issue.

Measures of brand perception was built based on Aaker's brand personality model. A total 1,103 valid questionnaires were collected through an online survey platform. Factor analysis is the primary method to analysis the data.

The findings of this study reveal a favourable brand perception of McDonald's among young Chinese consumers which is consistent with Aaker's brand personality model and support the use of generational cohort theory as a market segmentation tool for brand perception. The differences between the two generational cohorts are not shown to be significant.

The most important contribution of this study is the evaluation of the personality of a major brand in China for Gen Z, a topic with very little existing research. Also, this research suggests future in-depth research into generational cohort theory in a Chinese context by recognizing homogeneity and heterogeneity exist simultaneously between generational cohorts.

Nanotechnology is nowadays very much successful in producing specifically functionalized nano-sized particles. In this work, copper nanoparticles were prepared by reduction method which is greener and environmentally suitable, cheap and best as compared to other conventional methods, particularly in the context of COVID in globalized world. The formation and size of copper nanoparticles was evidenced by the X-ray diffraction and transmission electron microscopy. The very high surface area of 35–50 m²/gm and very small crystallite sizes of 5–15 nm of these metal nanoparticles is mainly responsible for their effective involvement in removal of carbon dioxide gas as one of major hazardous pollutants from the environment. This chapter, as its main objective, mainly focuses on utility of nano technology and its beneficiary in creating a sustainable environment in economic world. Apart from laboratory experimental procedure and characterizations for preparation of copper nanoparticles, appropriate research methods such as simple statistical, econometric tools and mathematical tools have been used for economic analysis. However, as major findings of the results, developed countries have been successful in maintaining a sustainable human development, in spite of having higher per capita income (PCI) growth as compared to the role of developing countries with lower PCI in this global world.

Considering Gen Z’s unique formative experience with social media, this study aims to apply the cue utilization theory to investigate the effects of social media policy as an organizational cue in attracting this cohort to hospitality and tourism (H&T) companies.

A 2 (policy frame: promotion/prevention) × 2 (policy boundary: distinct/permeable) experiment was conducted with 243 Gen Z H&T job seekers. ANCOVA analyses were performed to analyze the effects of policy frame and boundary on perceived organization attractiveness and pursuit intention, respectively.

This study found that when a company policy promoted social media usage, Gen Z job seekers reported higher attractiveness and pursuit intention in the distinct boundary condition. However, when a company’s social media policy emphasized a prevention frame, Gen Z job seekers reported a similar level of perceived attractiveness and pursuit intention, regardless of the policy boundary conditions.

This study addressed the literature gaps of limited research on the Gen Z workforce and the effects of social media policy on talent attraction. Based on the cue utilization theory, this study identified the policy clause combinations that generated positive recruitment impacts among Gen Z members. The study provided unique theoretical and practical implications for H&T managers to use social media policy as a novel and cost-effective tool to attract Gen Z talents.

考虑到 Z 世代在社交媒体方面的独特成长经历, 本研究借鉴了线索利用理论, 调查了社交媒体公司政策作为组织线索在吸引这一年轻人才群体加入酒店和旅游公司方面的影响。

本研究在 243 名 Z 世代潜在的酒店和旅游从业人员中进行了 2（政策框架：促进与预防）x 2（政策边界：明显与模糊）的实验。 通过一系列 2x2 ANCOVA 分析来确认政策框架和政策边界对Z 世代的劳动力在组织吸引力和求职意愿的影响。

研究结果表明, 当公司提倡在工作中使用社交媒体, Z世代潜在员工觉得有明显边界政策的公司 （相对于有模糊边界政策的公司）具有更高的吸引力和追求意愿。 然而, 当公司的社交媒体政策强调预防框架时, 无论政策边界如何界定, Z 世代潜在员工都表示相似的组织吸引力和求职意愿。

本研究从人才吸引的角度来填补了关于 Z 世代劳动力和社交媒体政策的研究空白。 基于线索利用理论, 该研究揭示了对 Z 世代成员产生积极招聘影响的政策条款组合。 该研究为酒店和旅游管理人员使用社交媒体政策作为吸引 Z 世代人才的新颖且具有成本效益的工具提供了独特的理论和实践意义。

Teniendo en cuenta la experiencia formativa única de la Generación Z con los medios sociales, este estudio aplica la teoría de la utilización de señales para investigar los efectos de la política de medios sociales como indicio organizativo para atraer a esta cohorte a las empresas de hostelería y turismo.

Se realizó un experimento de 2x2 (marco de la política: promoción vs prevención) x (límite de la política: distinto vs permeable) con 243 personas de la Generación Z en busca de empleo en hostelería y turismo. Se aplicaron análisis ANCOVA para analizar los efectos del marco de política y el límite en el atractivo percibido de la organización y la intención de búsqueda, respectivamente.

Este estudio descubrió que cuando la política de una empresa promovía el uso de los medios sociales, los solicitantes de empleo de la Generación Z declaraban un mayor atractivo y una mayor intención de búsqueda en la condición de límite diferenciado. Sin embargo, cuando la política de medios sociales de una empresa hacía hincapié en un marco de prevención, los solicitantes de empleo de la Generación Z informaron de un nivel similar de atractivo percibido e intención de búsqueda, independientemente de las condiciones de límite de la política.

Este estudio abordó las lagunas en la literatura debido a la investigación limitada sobre la fuerza laboral de la Generación Z y los efectos de las políticas de redes sociales en la atracción de talento. Basado en la teoría de utilización de señales, el estudio identificó las combinaciones de cláusulas de política que generaron impactos positivos en la contratación entre miembros de la Generación Z. El estudio proporcionó implicaciones teóricas y prácticas únicas para que los gerentes de hostelería y turismo utilicen las políticas de redes sociales como una herramienta novedosa y rentable para atraer talento de la Generación Z.

We propose a generic algorithm for numerically accurate likelihood evaluation of a broad class of spatial models characterized by a high-dimensional latent Gaussian process and non-Gaussian response variables. The class of models under consideration includes specifications for discrete choices, event counts and limited-dependent variables (truncation, censoring, and sample selection) among others. Our algorithm relies upon a novel implementation of efficient importance sampling (EIS) specifically designed to exploit typical sparsity of high-dimensional spatial precision (or covariance) matrices. It is numerically very accurate and computationally feasible even for very high-dimensional latent processes. Thus, maximum likelihood (ML) estimation of high-dimensional non-Gaussian spatial models, hitherto considered to be computationally prohibitive, becomes feasible. We illustrate our approach with ML estimation of a spatial probit for US presidential voting decisions and spatial count data models (Poisson and Negbin) for firm location choices.

The purpose of this paper is to examine the impacts of perceived informational value and perceived relational value on feedback-seeking intention in online communities of inquiry (OCoIs). To develop an integrated theoretical framework, the antecedents of perceived informational value and perceived relational value are also investigated.

This study builds on the relational communication theory (RCT) and the social psychology perspective to develop an integrated research model regarding feedback-seeking. Hypotheses were empirically tested using data collected from 262 subjects who are members of OCoIs.

The results indicate that feedback-seeking intention is positively affected by perceived informational and relational value of feedback-seeking. Furthermore, perceived informational value partially mediates the effects of feedback-seeking self-efficacy and learning goal orientation on feedback-seeking intention; perceived relational value partially mediates the effects of social influence and social risk on feedback-seeking intention.

The results suggest that practitioners can promote feedback-seeking by enhancing learners’ informational and relational dependencies on OCoIs. To achieve effective online learning, practitioners should consider learners’ characteristics to provide personalized learning interventions.

This study advances RCT and the social psychology perspective to develop an integrated model for understanding feedback-seeking. The empirical results complement information-related explanations of feedback-seeking by finding that a relationship-related explanation is more important for promoting feedback-seeking in OCoIs. The proposed model also indicates that tolerance for ambiguity serves as a moderator in the relationship between perceived informational value and its antecedents.

Extant studies propose music sentiment as a novel measure of individuals’ sentiment. These studies argue that individuals’ choice of music reflects their emotional condition in real time and influences their cognitive ability, making it a powerful tool for assessing their mood. This study aims to use music sentiment as a proxy for auditors’ mood and explore its impact on audit quality.

A sample of the US firms from 2017 to 2020 is used in the study. The authors apply the ordinary least squares regressions and the logit regressions to the audit quality models. The authors use absolute discretionary accruals and the propensity to meet or beat earnings forecasts as proxies for audit quality and calculate a stream-weighted average sentiment measure for Spotify’s Top-200 songs of each day during the audit period of a client firm to capture the sentiment of auditors.

The authors find that music sentiment is positively associated with audit quality. The result is consistent with the mood maintenance hypothesis, which suggests that a positive mood can induce auditors to be more careful in risky situations. Furthermore, the result is robust to various sensitivity analyses.

The study contributes to the scarce literature that focuses on auditors’ emotional state and highlights the importance of monitoring auditor mindset during the audit period.

A high‐order compact upwind algorithm is developed for solving Navier‐Stokes equations in two‐space dimensions. The method is based on advection upstream splitting method and fourth‐order compact finite‐difference schemes. The convection flux terms of the Navier‐Stokes equations are discretized by a compact cell‐centered differencing scheme while the diffusion flux terms are discretized by a central fourth‐order compact scheme. The midpoint values of the flux functions required by the cell‐centered compact scheme are determined by a fourth‐order MUSCL approach. For steady‐state solutions; first‐order implicit time integration, with LU decomposition, is employed. Computed results for a laminar flow past a flat plate and the problem of shock‐wave boundary layer interaction are presented.