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This paper aims to explore the outcomes of an analysis on day by day task – journey planning conduct of senior citizens by using a modern dynamic model and a family unit travel overview, gathered in Bhubaneswar, Odisha, of India in 2018. The task-journey planning display assumes an unique time–space-constrained planning development.

The main commitment of this paper is to reveal day by day task – journey planning conduct through a comprehensive dynamic framework. Numerous behavioural subtleties are revealed by the subsequent empirical model. These incorporate the role that income plays in directing outside time consumption decisions of senior citizens. Senior citizens in the most elevated and least salary classes will in general have minor varieties in time consumption decisions than those in middle pay classifications. Generally speaking, the time consumption decisions become progressively steady with expanding age, demonstrating that more task durations and lower task recurrence become progressively predominant with increasing age.

Day by day task-type and area decisions reveal a reasonable irregular utility-amplifying level headed conduct of senior residents. Unmistakably expanding spatial availability to different task areas is an urgent factor in characterizing every day outside task interest of senior residents. It is likewise evident that the assorted variety of outside task-type decisions decreases with rise in age and senior citizens are major touchy to auto journey hour than to travel or non-mechanized journey hour.

The fundamental constraint to the dynamic structure is that the mode decision model was viewed as exogenic to the demonstrating framework. The essential purpose behind this supposition that was that senior citizens in the Bhubaneswar are overwhelmingly customers of the local car. Coordination of the mode decision display part inside this structure would deliver a full task-based journey request model that could catch trip age, starting times, outing circulation and mode decision using a solitary demonstrating framework.

Effective customer journey design (ECJD) is considered a key variable in customer experience management and an essential source of brand meaning and pro-brand behavior. Although previous research has confirmed its importance for driving brand attitudes and loyalty, the role of consumer-brand identification as a social identity-based influence in this relationship has not yet been discussed. Drawing on construal level and social identity theories, this paper aims to investigate whether effective journeys and the resulting overall journey experience are equally powerful in driving brand loyalty among customers with different levels of consumer-brand identification.

The present article develops and tests a research model using data from the European and US service sectors (N = 1,454) to investigate how and when ECJD affects service brand loyalty.

Across two cultural contexts, four service industries and 33 service brands, the results reveal that ECJD is a crucial driver of service brand loyalty for customers with low consumer-brand identification. Moreover, the findings show that different aspects of journey effectiveness positively impact the valence of customers’ experience related to those journeys – a process that is ultimately decisive for their brand loyalty.

This study is unique because it generates theoretical and practical knowledge by combining the literature streams of customer journey design, customer experience and branding. Furthermore, this work demonstrates that consumer-brand identification is a critical boundary condition to be considered in the relationship between ECJD and brand loyalty in services.

Presently in multicolor fused filament-based three-dimensional (3-D) printing, significant amounts of waste material are produced through nozzle priming and purging each time a change from one color to another occurs. G-code generating slicing software typically changes the material on each layer resulting in wipe towers with greater mass than the target object. The purpose of this study is to provide an alternative fabrication approach based on interlayer tool clustering (ITC) for the first time, which reduces the number of tool changes and is compatible with any commercial 3-D printer without the need for hardware modifications.

The authors have developed an open-source PrusaSlicer upgrade, compatible with Slic3r-based software, which uses the described algorithm to generate g-code toolpath and print experimental objects. The theoretical time, material and energy savings are calculated and validated to evaluate the proposed fabrication method qualitatively and quantitatively.

The experimental results show the novel ITC method can significantly increase the efficiency of multimaterial printing, with an average 1.7-fold reduction in material use, and an average 1.4-fold reduction in both time and 3-D printing energy use. In addition, this approach reduces the likelihood of technical failures in the manufacturing of the entire part by reducing the number of tool changes, or material transitions, on average by 2.4 times.

The obtained results support distributed recycling and additive manufacturing, which has both environmental and economic benefits and increasing the number of colors in a 3-D print increases manufacturing savings.

This research introduces an innovation strategy aimed at bolstering the reliability of a renewable energy resource, which is hybrid energy systems, through the application of a metaheuristic algorithm. The growing need for sustainable energy solutions underscores the importance of integrating various energy sources effectively. Concentrating on the intermittent characteristics of renewable sources, this study seeks to create a highly reliable hybrid energy system by combining photovoltaic (PV) and wind power.

To obtain efficient renewable energy resources, system designers aim to enhance the system’s reliability. Generally, for this purpose, the reliability redundancy allocation problem (RRAP) method is utilized. The authors have also introduced a new methodology, named Reliability Redundancy Allocation Problem with Component Mixing (RRAP-CM), for optimizing systems’ reliability. This method incorporates heterogeneous components to create a nonlinear mixed-integer mathematical model, classified as NP-hard problems. We employ specially crafted metaheuristic algorithms as optimization strategies to address these challenges and boost the overall system performance.

The study introduces six newly designed metaheuristic algorithms. Solve the optimization problem. When comparing results between the traditional RRAP method and the innovative RRAP-CM method, enhanced reliability is achieved through the blending of diverse components. The use of metaheuristic algorithms proves advantageous in identifying optimal configurations, ensuring resource efficiency and maximizing energy output in a hybrid energy system.

The study’s findings have significant social implications because they contribute to the renewable energy field. The proposed methodologies offer a flexible and reliable mechanism for enhancing the efficiency of hybrid energy systems. By addressing the intermittent nature of renewable sources, this research promotes the design of highly reliable sustainable energy solutions, potentially influencing global efforts towards a more environmentally friendly and reliable energy landscape.

The research provides practical insights by delivering a comprehensive analysis of a hybrid energy system incorporating both PV and wind components. Also, the use of metaheuristic algorithms aids in identifying optimal configurations, promoting resource efficiency and maximizing reliability. These practical insights contribute to advancing sustainable energy solutions and designing efficient, reliable hybrid energy systems.

This work is original as it combines the RRAP-CM methodology with six new robust metaheuristics, involving the integration of diverse components to enhance system reliability. The formulation of a nonlinear mixed-integer mathematical model adds complexity, categorizing it as an NP-hard problem. We have developed six new metaheuristic algorithms. Designed specifically for optimization in hybrid energy systems, this further highlights the uniqueness of this approach to research.

This study aims to test the relationship between knowledge sharing and employee engagement. In particular, the mediating and moderating roles of competency development and social climate, respectively, are also the focus of this research.

Of self-completed questionnaires collected from luxury hotels in India, 507 are usable for data analysis. The structural equation modelling (SEM) was used to examine the proposed hypotheses.

The structural equation modeling–based results illustrate a positive significant association between knowledge sharing and employee engagement. Also, there is a significant support to establish the mediating effect of competency development and the moderating effect of social climate on this relationship. The expansion of competencies of employees achieved through knowledge sharing leads to higher engagement.

This work is carried out in Indian hospitality sector and may not be generalizable to other cultural settings.

This study’s results add to the knowledge sharing scholarship by envisaging a possible association with an employee attitudinal outcome, i.e. employee engagement.

To the best of the authors’ knowledge, this is one of the first studies to unravel the social processes through which knowledge sharing enhances competency development, and subsequently employee engagement, mainly through the influence of social climate.

The phenomenon of global brands taking a stance on crucial, yet polarizing, socio-political issues, namely global brand activism, is rising. However, how consumer views on this practice are shaped when global branding elements are factored in remains unclear. Drawing from the functional theory of attitude formation, this study investigates the relationships of consumer characteristics (political ideology, consumer ethnocentrism) and brand factors (global brand attitudes and perceived motivation of global brand activists) with attitudes toward global brand activists.

Using a survey of a UK nationally representative sample (n = 439), we test our hypothesized model via structural equation modeling and mediation analysis.

Our findings reveal direct and indirect effects of political ideology on attitudes toward global brand activists (AttGBACTIVs). While consumer ethnocentrism and global brand attitudes do not directly drive AttGBACTIVs, they do influence them indirectly. Perceived motivation of global brand activists emerges as a key mechanism activating these effects and affecting AttGBACTIVs.

First, this study constitutes a novel examination of consumer views of brand activism through a global branding lens. Second, our investigation uniquely combines important determinants of brand activism outcomes with key international marketing factors (namely consumer ethnocentrism and global brand attitudes). Third, the concurrent exploration of individual and brand factors in our mediated model reveals the complex mechanisms through which attitudes toward global brand activists are formed.

This study examines the impact of perceived human resource management practices on talent turnover intention, with work engagement mediating and self-efficacy moderating the relationship. It examines how employees' perceptions of pay satisfaction, empowerment, participation and communication are related to their turnover intentions.

A total of 283 valid questionnaires from UAE government employees were used for data analysis. Partial least squares structural equation modeling (PLS-SEM) was used to examine the proposed hypothesis.

The results reveal that employees' perceptions of pay satisfaction, empowerment, participation and communication are significant contributors to work engagement. The findings further demonstrate that work engagement significantly negatively affects talent turnover intention and acts as a mediator between employees' perceptions of individual human resource management practices and talent turnover intention. However, the results contradict the hypothesis that self-efficacy moderates the association between work engagement and talent turnover intention.

This study focuses on the impact of perceived human resource management practices on talent turnover intention, an area that has received limited attention in literature. By focusing on perceived human resource management practices, this study illuminates employees' subjective experiences and how they perceive human resource management practices intended to reduce talent turnover intention. The inclusion of the mediating effect of work engagement offers a more profound understanding of how employees' perceptions of human resource management practices influence their turnover intentions. This comprehensive approach to understanding the interplay between these variables provides valuable insights for organizations seeking to improve their human resource management practices and talent turnover intention.

HRM decentralization and devolution have been highlighted as key HRM processes in organizations’ quest for increased flexibility. Although they have been extensively studied in the MNC and International HRM literature, they have mainly been examined on a separate basis, and their definition and operationalization have often been confused. Thus, we first clarify the difference between the two concepts by refining the definitions by Hoogendoorn and Brewster (1992), and then empirically examine how they are related.

The relationship between HRM decentralization and devolution is examined by means of a survey in a large multi-country sample of multi-unit organizations.

Regarding our clarification objective, we contend that devolution has to do with who takes responsibilities for HRM (i.e. line managers or HRM professionals) while decentralization refers to where HRM responsibilities are allocated (i.e. headquarters or increasingly local units). Regarding the relationship between the two concepts, the results show that higher levels of HRM decentralization are related to higher levels of devolution, but this association is attenuated in organizations with more powerful HRM departments.

The study contributes to theory and practice by disentangling, at the conceptual, operational, empirical and practical levels, two different but related HRM decisions (how much to devolve and how much to decentralize HRM) that organizations must make to efficiently cope with the characteristics of their own structure and competitive environment. It highlights the role of the relative power of HRM departments in how HRM responsibilities are ultimately distributed across the organization.

This paper studies how employee effort depends upon the manager’s level of narcissism and the framing of the manager’s incentive scheme. In an online experiment with 356 employee participants, the authors manipulate the description of the manager narcissism (high or low) and the framing of the manager’s compensation scheme (bonus or penalty) and examine the joint effect of these two factors on employee effort to help the manager reach their objectives. Results show that employees exert less (more) effort when manager narcissism is high (low). This effect is mediated by employees’ feelings of envy toward the manager. In line with recent research on the cascading effect of management compensation, the authors also find that a manager’s penalty contract has a negative effect on employee effort when manager narcissism is high. The results have important implications for compensation design in business practice.

Literature has already analysed the relation between a property’s time on market (TOM) and other housing characteristics, but few to none include the property’s energy performance certificates (EPC) and none make a comparison between the selling and rental market. This paper aims to address these gaps by studying the relationship between TOM, price and EPC in both markets.

By introducing a combination of alternative tests, this study confirms a causal relation between TOM and price in the cross-sectional data. This allows this study to use a two-stage least square model and analyse 392,498 Flemish sale and rental properties transacted between 2019 and 2023.

The results indicate that both sale and rental properties with higher prices increase the TOM by 4–6 days, and this effect is even stronger in the selling market when the value-added tax is included. This study also finds that EPC labels have a complex relation with the time on market. A-labelled properties tend to increase the transaction time between 10 and 54 days, but B- and C-labelled properties decrease TOM between 20 and 30 days. In addition, the poorer performing labels (E and F) react differently across markets because of market-specific policies.

This paper provides novel insights by studying the relationship between TOM and EPC while also considering TOM’s endogenous relationship with the price. We control for these relationships in both the selling and rental market.