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Social sustainability is a concept frequently referred to in public debates concerning how to construct the governance of future societies. The interpretations of its meaning, however, are ambiguous, and practices often dubious. Confronting top-down technocratic governance structures, this paper aims to argue for for tripartite collaborations between residents, higher education institutions (HEIs) and local government, as an approach toward social sustainability that involves residents’ interests in local governance.

This study argues that a specific time-spatial method of analysis can benefit the co-creation of knowledge as it passes through the spectrum of resident–HEI–local government. It provides a way for resident perceptions to become structured knowledge that originates from the residents, effectively engendering a bottom-up governance structure.

This study shows how to include residents in policymaking and implementation processes as co-creators of knowledge, and thereby displays the possibility of examining knowledge and competence within municipal projects for social sustainability.

The model developed in this study can be used as a methodological instrument to analyze and expand resident participation in local social sustainability work. It thereby provides a toolbox for inclusive policymaking and strategies.

Using the theoretical framework of job demands-resources and boundary management, the purpose of this paper is to explore the moderating role of work and life boundary characteristics in the relationship between time-spatial job crafting, work engagement and job performance.

A total of 176 employees working in the IT sector and having an opportunity to use flexible work arrangements were surveyed online.

Work and life boundary characteristics were found to moderate the relationship between time-spatial job crafting and work engagement as well as between time-spatial job crafting and job performance. Moreover, boundary characteristics moderated the indirect relationship between time-spatial job crafting and job performance through work engagement.

Time-spatial job crafting becomes a key strategy for maintaining work engagement and job performance, when work–life boundaries are less flexible and less permeable.

The study demonstrates that boundary characteristics determine the effects of time-spatial job crafting on work engagement and job performance.

The purpose of this study is to review the literature on the Delphi method, its characteristics and current applications through an analysis of recent most-cited scientific papers, with an emphasis on three axes, namely, the number of rounds used, stakeholder participation relevance or only academic experts’ participation and the possibility of using indicators or techniques different from those related to descriptive statistics.

In total, 57 papers were initially reviewed, 10 of them with a high citation rate. Then, an analysis was made of papers in Scopus for the period 2015-2018 published in the Technological Forecasting and Social Change Journal and in the Futures and Foresight Journal, which had the characteristic of displaying quartile Q1 or Q2 in Scimago in addition to being in Scopus.

Among the main results, the authors observe the tendency to use fewer rounds, a higher prevalence of stakeholder participation and not only academic experts but also the use of new types of modified Delphi such as real-time spatial Delphi, Delphi group, market Delphi, real-world Delphi and policy Delphi.

Among the conclusions, the possibility of using other indicators or complementary techniques to the descriptive statistics is highlighted such as number of justifications or comments between rounds, coefficients to quantify the competence or degree of expertise of the participants, measures of the perception of the expert on the usefulness of the presented feedback, graphs of the number of arguments according to the number of questions, the Wilcoxon Ranked Pairs Test, the k means, Kolmogorov–Simonov test and the Mann–Whitney U-test.

The paper aims to propose a parallel algorithm in order to increase speed and efficiency of an analysis of transient thermal field in layered DC cables.

Initial-boundary problem of thermal field was discretized by means of implicit finite difference method in cylindrical coordinates. A two-stage time decomposition method was applied to introduce parallel computations. An assumed duration of the transient state was decomposed. The system of algebraic equations was being solved with the use of a conjugate gradient method (with diagonal preconditioning) in all time intervals simultaneously.

A method for solving (with the use of parallel computing system) the transient heat conduction equation in a DC cable consisting of arbitrary number of material layers was given. The dependence of the convective heat transfer coefficient on the location on the perimeter of the cable and on its surface temperature (which introduced non-linearity in the boundary condition) was taken into account. The influence of the determined field on the efficiency of the heat source was also taken into consideration in the model.

The main limitation is induced by cylindrical and coaxial structure of the consecutive layers of the system. Thermal field is generated by direct current flow only. The length of the fragment of the cable under consideration should be much greater than its diameter.

The time-spatial distribution of thermal field in the cross-section of the cable can be used for analysis of its reliability and for determination of important characteristics and parameters of the system.

A parallel algorithm of solving initial-boundary parabolic problem was proposed as a result of synthesis of three methods (finite difference, time decomposition and conjugate gradient). An algorithm of minimization of disturbances of the solution introduced at the division points was given. Equations approximating real distribution of heat transfer coefficient from the surface of the cable were proposed.

The purpose of this paper is to apply the meshless method of fundamental solutions (MFS) to the two‐dimensional time‐dependent heat equation in order to locate an unknown internal inclusion.

The problem is formulated as an inverse geometric problem, using non‐invasive Dirichlet and Neumann exterior boundary data to find the internal boundary using a non‐linear least‐squares minimisation approach. The solver will be tested when locating a variety of internal formations.

The method implemented was proven to be both stable and reasonably accurate when data were contaminated with random noise.

Owing to limited computational time, spatial resolution of internal boundaries may be lower than some similar case investigations.

This research will have practical implications to the modelling and monitoring of crystalline deposit formations within the nuclear industry, allowing development of future designs.

Similar work has been completed in regards to the steady state heat equation, however to the best of the authors' knowledge no previous work has been completed on a time‐dependent inverse inclusion problem relating to the heat equation, using the MFS. Preliminary results presented here will have value for possible future design and monitoring within the nuclear industry

Purpose: The study discusses various concepts for human resources (HR) executives for effective decision making in VUCA times, talent management, hybrid work business model, creativity and innovation in HR practices, diversity, equity, and inclusion (DEI) in HR practices, and flexibility in HR policies.

Need for the Study: The driving truth of this study is to approach a successful dynamic critical model for HR leaders in the IT Industry in Chennai city during VUCA times. Volatility, Uncertainty, Complexity, and Ambiguity are the four main components of VUCA.

Methodology: The essential information was gathered with Google Structures, and testing methods were embraced to review the Snowball Examining Procedure. The 211 reactions were settled for the concentrate after deficient reactions. The auxiliary information was gathered from sources like Papers, Business Magazines, Industry Reports, Articles, and Reading material. The information was dissected with measurable programming SPSS 25 and AMOS 23. The validity check, t-test, correlation analysis, regression analysis, and structural equation modeling (SEM) are the statistical methods used in the study.

Findings: The review results that the free factor is the ability of The board, Crossbreed Work Plan of action, Imagination and development in HR rehearses, Variety, Value and Consideration in HR practices, and adaptability in HR strategies altogether affect the reliant variable viable decision making during VUCA times.

Practical Implications: The study identifies hybrid work models and flexible HR policies as crucial parameters in VUCA times.

Although exporting can offer many benefits to smaller manufacturers, a large number of these firms refrain from export operations as a result of insufficient stimulation. This paper seeks to critically analyse and creatively synthesise the reasons that may stimulate a smaller firm to export, based on a review of 32 empirical studies conducted in various parts of the world during the period 1974‐2005.

A total of 40 export stimuli were systematically identified from the extant empirical literature, which, for analytical purposes, were divided into internal and external, as well as proactive and reactive. Within each study, stimuli were ranked in terms of their importance, frequency, or intensity, and the aggregate impact of each stimulus in all studies under review was evaluated.

The review revealed that export stimulation stems from a variety of factors, and may vary according to time, spatial, and industry contexts. Irrespective of contextual factors, there are certain motives that systematically play a key role in encouraging smaller firms to export, such as the desire to achieve extra sales, profits, and growth, utilise better idle production capacity, exploit a unique/patented product, avoid the threats of a saturated domestic market, reduce home market dependence, and respond to unsolicited orders from abroad. Some of these motives may lead to an opportunistic approach to exporting, while others denote deliberate export adoption. It was also shown that, although there are numerous other stimulating factors, with a lower impact on exporting, these should not be underestimated because their role may increase under certain conditions or become complementary to export stimuli with a stronger impact.

The findings of the study have serious implications for both public and company policy makers. Policy makers may use this insightful analysis of export stimulation as a guide to developing proper export promotion programmes and sound export marketing strategies.

The paper offers a comprehensive review and synthesis of all factors with a possible stimulating effect on exporting; evaluates the aggregate effect of each factor, as collectively derived from all empirical studies conducted on the subject; and provides an in‐depth analysis of the nature and the stimulating mechanism of each factor.

This chapter presents a thorough review on the mobile learning concept. It also explores how businesses are using mobile learning (m-learning) technologies for the training and development of their human resources. The research involved semi-structured interviews and an online survey. The research participants were expected to share their opinions about the costs and benefits of using m-learning applications (apps). The findings reported that the younger course participants were more likely to embrace the m-learning technologies than their older counterparts. They were using different mobile devices, including laptops, hybrids as well as smartphones and tablets to engage with m-learning applications at work, at home and when they are out and about. This contribution has identified the contextual factors like the usefulness and the ease of use of m-learning applications (apps), individual learning styles and their motivations, time, spatial issues, integration with other learning approaches as well as the cost and accessibility of the m-learning technology. In conclusion, this contribution identifies future research avenues relating to the use of m-learning technologies among businesses and training organizations.

Due to rising obesity levels, declining fitness levels, an aging population, and shopper lethargy, retail planners must give serious consideration to the physical demands retail centres place on their patrons. The purpose of this paper is to determine the importance consumers assign to spatial convenience, measure how consumers perceive shopping malls and shopping strips (also referred to as the downtown area, central business district, Main Street or the High Street) in relation to it, and compare them in their provision of it.

The study utilises a household survey of consumers and as well as a retail audit. The survey was used to identify the importance consumers assign to spatial convenience, while the retail audit was used to establish how malls and strips compare in their provision of it.

The results of the survey indicate that consumers regard spatial convenience as important and believe that malls are superior in providing it. The retail audit confirmed the accuracy of these perceptions, with the mall providing greater store compatibility, and a more compact shopping environment.

The influence of spatial convenience on shopping behaviour has been largely overlooked at the level of the retail centre. Moreover, those studies that have focused on this topic, have typically done so from the singular focus of either malls or strips. This study incorporates both, and does so via an empirical analysis of consumer attitudes and a spatial comparison of both retail formats.

This paper aims to present a case study of virtual-reality-based product demonstrations featuring items of furniture. The results will be of use in further design and development of virtual-reality-based product demonstration systems and could also support effective student learning.

A new method was introduced to guide the experiment by confirming orthogonal arrays. User interactions were then planned, and a furniture demonstration system was implemented. The experiment comprised two stages. In the evaluation stage, participants were invited to experience the virtual-reality (VR)-based furniture demonstration system and complete a user experience (UX) survey. Taguchi-style robust design methods were used to design orthogonal table experiments and planning and design operation methods were used to implement an experimental display system in order to obtain optimized combinations of control factors and levels. The second stage involved a confirmatory test for the optimized combinations. A pilot questionnaire was first applied to survey demonstration scenarios that are important to customers.

The author found in terms of furniture products, product interactive display through VR can achieve good user satisfaction through quality design planning. VR can better grasp the characteristics of products than paper catalogs and website catalogs. And VR can better grasp the characteristics of products than online videos. For “interactive inspection”, “function simulation”, “style customization” and “set-out customization” were the most valuable demonstration scenarios for customers. The results of the experiment confirmed that the “overall rating”, “hedonic appeal” and “practical quality” were the three most important optimized operating methods, constituting a benchmark of user satisfaction.

The author found that it is possible to design and build a VR-based furniture demonstration system with a good level of usability when a suitable quality design method is applied. The optimized user interaction indicators and implementation experience for the VR-based product demonstration presented in this study will be of use in further design and development of similar systems.