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This study explores the social conditions for sustainability practices, addressing the processes whereby associational gardening practices in a highly segregated context may or may not create connections and capacities across urban social divides.

Based on organizational ethnographic fieldwork, the article explores urban gardens as potential meeting places in a segregated city, Gothenburg, focusing on collectively organized gardening projects in different socioeconomic and socio-spatial settings.

The study identifies the unintentional encounters embedded in the immaterial act of gardening, that is, digging, planting and actual gardening practices regardless of the harvest. Such practices were found to be important for social sustainability practices beyond the continuous reproduction of silos, at least in multicultural settings. Nevertheless, many urban gardeners create a green living room for themselves and their neighbours, and engagement with those outside their silos often becomes more of a symbolic act of global solidarity, especially in more culturally homogeneous areas.

The article fills a gap in the research by focusing on the social conditions for sustainability practices in urban segregated areas. By showing how gardening practices often reproduce cultural similarity, the study highlights the importance of revealing practices and places that facilitate unintentional social “bonus” interactions that nonetheless occur in two of the gardening environments studied. Unintentional encounters are identified as important dimensions of social sustainability practices.

This paper investigates whether and to what extent operating in inner areas affects the profitability of innovative Italian small and medium-sized enterprises (SMEs) over 2012–2018.

Guided by the National Strategy for Inner Areas and the “Investment Compact,” this study distinguishes between inner and core innovative SMEs. It employs various econometric models to estimate a regression for the return on assets of SMEs, differentiating between firms operating in inner and non-inner areas of northwest, northeast, centre and south Italy.

Findings reveal that innovative SMEs in inner areas generally exhibit lower profitability compared to those in non-inner municipalities. However, huge heterogeneity in results is observed across the country. Specifically, innovative SMEs in the inner areas of the south register lower profitability than those operating in non-inner zones. Conversely, innovative SMEs located in the inner municipalities of northwest and northeast Italy show higher profitability than their peers in non-inner areas. The results imply that targeted policies for inner areas are crucial. However, due to the diversity of local impacts, a differentiated approach, depending on the geographic context, is necessary.

The study aims to explore the relationship between inner areas and the performance of innovative SMEs in Italy. More precisely, it examines the effect of operating in a municipality located within an inner area on the profitability of innovative SMEs. This issue has been overlooked in existing literature. Importantly, we aim to determine whether there is a heterogeneous impact based on geographical localisation, specifically in the Northwest, the Northeast, the Centre and the South of the country. Therefore, this paper contributes to the literature by investigating the factors influencing the performance of innovative SMEs and suggesting new policy recommendations for developing inner areas in Italy.

People, in general, seem to maintain a rather elementary meaning of rural marketing. Although there exists certain common features of rural marketing, there does not exist as yet, a reliable published work on this concept. The methods of rural marketing are very different from marketing in urban areas. These differences have usually occurred for a variety of reasons especially (a) paying careful attention to the development of urban markets and (b) a development in the marketing sector in the urban areas would be more visible than what they might be in the rural areas.

However, rural marketing stands for developing a form of marketing suitable for the rural areas. In this process of marketing, the marketeers and promoters will be required to consider the rural prejudices of the inhabitants therein, including those of the women consumers too. These markets also lack infrastructures, goods on demand are often different from those of the urban markets and lack of facilities proves to be a hazard for the suppliers of products. Nevertheless, it has been maintained in this work that rural marketing can be developed when it becomes a policy issues.

The paper aims to explore gaps in women's empowerment in rural areas, specifically focusing on the alignment of skill development with job creation. The overarching goal is to understand how firms can contribute to achieving the 5th Sustainable Development Goal (SDG) related to women's empowerment through skill development and job creation programs.

The paper reviews information available in various formats to analyse the existing landscape of women's empowerment, skill development and job creation in rural areas. It likely involves a literature review synthesising insights from diverse sources, including academic studies, government initiatives and reports from researchers working in the field. The methodology may also encompass an examination of success cases and challenges faced by government programs.

Gender disparities: Over 80% of the global impoverished population is in rural areas, with women constituting 70% of this demographic. Challenges in policy implementation: Despite women-centred policies, challenges persist in enabling rural women to recognise the potential of remunerative skills for improving their lives. Linking skills and decision-making: Scholarly work highlights the connection between remunerative skills and decision-making, emphasising the importance of financial independence for women's empowerment. Gap in job opportunities: Lack of industry and commercial setups in rural areas poses a significant challenge, hindering the recognition of the value that skill development can offer.

The paper reviews information available in various formats to analyse the existing landscape of women's empowerment, skill development and job creation in rural areas. It likely involves a literature review synthesising insights from diverse sources, including academic studies, government initiatives and reports from researchers working in the field. The methodology may also encompass an examination of success cases and challenges faced by government programs.

This is an elementary and yet important chapter. In this chapter, the most important hindrances to rural development have been identified and how they usually hinder development has been explained. Various forms of bias that adversely affect a rural development process, namely, spatial bias, person bias, elite bias, male bias, user and adopter bias, and active present and living biases have also been briefly discussed.

The protection and preservation of the environment, whether of an urban area or a rural area may not be disregarded. Most of the rural areas in the world lacks the knowledge on this issue. In so far as the developing countries are concerned, it has now become a societal problem mainly owing to the lack of public awareness in the rural areas of these countries. This chapter examines the principal causes of the lack of public awareness. The author also examines the correlation between poverty and deterioration of the environment and between industrialisation and deterioration of the environment, where possible. Both sophisticated and unsophisticated technology cause pollution. The other causes of pollution, industrial or otherwise have also been identified and explained. The relevant UN Resolution, namely, the Permanent Sovereignty over Natural Resources 1962, the Charter of Economic Rights and Duties of States 1974, the UN World Commission on Environment and Development: Our Common Future (The Brundtland Report) have also received attention. The 17 Sustainable Development Goals have been mentioned.

In the opinion of the author, almost all of the important and relevant documents have received attention in this chapter in order to create awareness of the problems in connection with the protection of the environment.

Owing to the finite nature of the boundary of the line (BOL), the conventional method, involving the strong matching of single-variety parts with storage locations at the periphery of the line, proves insufficient for mixed-model assembly lines (MMAL). Consequently, this paper aims to introduce a material distribution scheduling problem considering the shared storage area (MDSPSSA). To address the inherent trade-off requirement of achieving both just-in-time efficiency and energy savings, a mathematical model is developed with the bi-objectives of minimizing line-side inventory and energy consumption.

A nondominated and multipopulation multiobjective grasshopper optimization algorithm (NM-MOGOA) is proposed to address the medium-to-large-scale problem associated with MDSPSSA. This algorithm combines elements from the grasshopper optimization algorithm and the nondominated sorting genetic algorithm-II. The multipopulation and coevolutionary strategy, chaotic mapping and two further optimization operators are used to enhance the overall solution quality.

Finally, the algorithm performance is evaluated by comparing NM-MOGOA with multi-objective grey wolf optimizer, multiobjective equilibrium optimizer and multi-objective atomic orbital search. The experimental findings substantiate the efficacy of NM-MOGOA, demonstrating its promise as a robust solution when confronted with the challenges posed by the MDSPSSA in MMALs.

The material distribution system devised in this paper takes into account the establishment of shared material storage areas between adjacent workstations. It permits the undifferentiated storage of various part types in fixed BOL areas. Concurrently, the innovative NM-MOGOA algorithm serves as the core of the system, supporting the formulation of scheduling plans.

This research aims to propose a model for the complex decision-making involved in the ecological restoration of mega-infrastructure (e.g. railway engineering). This model is based on multi-source heterogeneous data and will enable stakeholders to solve practical problems in decision-making processes and prevent delayed responses to the demand for ecological restoration.

Based on the principle of complexity degradation, this research collects and brings together multi-source heterogeneous data, including meteorological station data, remote sensing image data, railway engineering ecological risk text data and ecological restoration text data. Further, this research establishes an ecological restoration plan library to form input feature vectors. Random forest is used for classification decisions. The ecological restoration technologies and restoration plant species suitable for different regions are generated.

This research can effectively assist managers of mega-infrastructure projects in making ecological restoration decisions. The accuracy of the model reaches 0.83. Based on the natural environment and construction disturbances in different regions, this model can determine suitable types of trees, shrubs and herbs for planting, as well as the corresponding ecological restoration technologies needed.

Managers should pay attention to the multiple types of data generated in different stages of megaproject and identify the internal relationships between these multi-source heterogeneous data, which provides a decision-making basis for complex management decisions. The coupling between ecological restoration technologies and restoration plant species is also an important factor in improving the efficiency of ecological compensation.

Unlike previous studies, which have selected a typical section of a railway for specialized analysis, the complex decision-making model for ecological restoration proposed in this research has wider geographical applicability and can better meet the diverse ecological restoration needs of railway projects that span large regions.

Although improving customer experience (CX) has always been one of the top priorities of business process management (BPM), the evidence on the actual contribution made by traditional BPM to improving CX and customer experience management (CXM) is mixed. Recently, new and enhanced capability areas have been added to the traditional BPM frameworks, yet it is unclear which of them contribute to CXM. Moreover, it is not known which of them are necessary and which are sufficient conditions. The aim of this research is to shed light on the research gap concerning which BPM capabilities, especially new and enhanced ones, are relevant to CXM.

Quantitative data from 268 medium and large companies in 3 EU countries were analysed using hierarchical linear regression analysis and necessary condition analysis.

The results show that traditional BPM capabilities are a necessary condition for CXM, but with minor significance. Most highly significant necessary conditions and also most highly or medium significant sufficient conditions belong to the People or Culture area. Agile Process Improvement is the only new or enhanced BPM capability area in the Methods/IT area that is a necessary and also a sufficient condition for CXM maturity. Advanced Process Digitalisation was identified as neither a significant necessary nor a sufficient condition for CXM.

This research contributes to better understanding of the role played by BPM for CXM, where previous research provides mixed results.

The presence of green spaces plays a vital role in promoting urban sustainability. Urban green parks (UGPs) help create sustainable cities while providing fundamental ecological functions. However, rapid urbanization has destroyed crucial green areas in Ranchi City, endangering inhabitants’ health. This study aims to locate current UGPs and predict future UGP sites in Ranchi City, Jharkhand.

It uses geographic information system (GIS) and analytical hierarchical process (AHP) to evaluate potential UGP sites. It involves the active participation of urban communities to ensure that the UGPs are designed to meet dweller’s needs. The site suitability assessment is based on several parameters, including the normalized difference vegetation index (NDVI), land use and land cover (LULC), population distribution, PM 2.5 levels and the Urban Heat Island (UHI) effect. The integration of these factors enables an evaluation of potential UGP’s sites.

The findings of this research reveal that 54.39% of the evaluated areas are unsuitable, 15.55% are less suitable, 12.76% are moderately suitable, 11.52% are highly suitable and 5.78% are very highly suitable for UGPs site selection. These results emphasize that the middle and outer regions of Ranchi City are the most favorable locations for establishing UGPs. The NDVI is the most important element in UGP site appropriateness, followed by LULC, population distribution, PM 2.5 levels and the UHI effect.

This study improves the process of integrating AHP and GIS, and UGPs site selection maps help urban planners and decision-makers make better choices for Ranchi City’s sustainability and greenness.