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This study examined the factors militating against walking as a form of active mobility in Akure, Nigeria. For questionnaire administration, from the 548,315 population of Akure, two hundred and seventy-four (274) household heads representing 0.05% of the entire population of Akure were sampled with the aid of a structured and self-administered questionnaire using a systematic sampling technique. The elicited data were analysed using descriptive and inferential statistics. From the analysis, the major impediments to walking were the socio-cultural belief that anybody walking was poor, followed by accessibility to motorised transport, and inadequate pedestrian facilities. These situations have significantly deterred people from seeing walking as an active form of mobility in the study area. Thus, the study recommends a strong sensitisation and awareness programme to robustly enlighten people on the need to embrace walking as a form of urban mobility. Also, the government should adequately and sustainably invest more in pedestrian facilities that will promote the culture of walking among people and/or road users in Akure, Nigeria. More importantly, for inclusiveness in urban planning, road infrastructure should be designed alongside other road elements to ensure seamless negotiations between pedestrians and vehicles without any form of conflict.

This study is the maiden attempt to understand the effect of specific human resource practices (HRPs) on employee retention (ER) with the mediation of job satisfaction (JS) and moderation of work experience (WE) and job hopping (JH) in the context of the textile industry.

This study adopted a quantitative methodology and applied quota sampling to gather data from employees (n = 365) of leading textile companies in India. The conceptual model and hypotheses were tested with the help of Partial Least Squares-Structural Equation Modelling (PLS-SEM).

The findings of a path analysis revealed that compensation and performance appraisal (CPA) have the highest impact on JS followed by employee work participation (EWP). On the other hand, EWP had the highest impact on ER followed by grievance handling (GRH). The study revealed that JS significantly mediates between HRPs like CPA and ER. During Multi-group analysis (MGA) it was found that the importance of EWP and health and safety (HAS) was more in employee groups with higher WE, but it was the opposite in the case of CPA. In the case of JH behavior, the study observed that EWP leads to JS in loyal employees. Similarly, JS led to ER, and the effect was more pronounced for loyal employees.

In the context of the Indian textile industry, this work is the first attempt to comprehend how HRPs affect ER. Secondly, it confirmed that JS is not a guaranteed mediator between HRPs and ER, it could act as an insignificant, partial or full mediator. Additionally, this study establishes the moderating effects of WE and JH in the model through multigroup analysis.

Food security is the major issue of the world as well as in developing countries like India in recent times. The study examines the status of food security for 15 selected states in India during 1995–1996 to 2018–2019 where the statuses of food security for the states are estimated by applying the multidimensional food security index. The secondary data on different food security indicators are collected from the Ministry of Agriculture, Food and Agricultural Organization, National Family Health Survey (NFHS) report, RBI bulletin, Economic and Political Weekly Research Foundation (EPWRF), and different issues of Statistical Abstract of India. The value of the food security index has significantly increased over the study period. The food security conditions for all the states have improved at higher rates in the second subperiod compared to the first subperiod in the country. It has also used panel autoregressive distributed lag (ARDL) method for the estimation of log-term and short-term relationship between food security and socioeconomic indicators of various states in the country. The food security of most of the states could be improved with the improvement in the conditions on the per capita power consumption, workforce participation rate, and cropping intensity in the country. Furthermore, the regional imbalance has decreased establishing that food security of the poorer states improved at a higher rate compared to richer states.

As the today's world is leading toward the digital dependency and after the world pandemic of COVID-19, the dependency of students and the university is completely through a digital medium, in context with that the higher education according to the demand of the generation is leading towards digital transformation. The digital transformation in the sector of education is the road map for the sustainable management and development of education. The digital transformation is the new pillar of education in which the students are mostly reliable. The digitalization in the field of education will lead to simple and clarified as well as multiple way for acquiring the knowledge. As the integration of the new model of education system is applied and implemented throughout the globe, the digital medium plays a significant role for the smooth and the systemic development of the model. In this chapter, the pathway for the development of the well-stable and well-developed strategies is considered in which the integration of the essential requirements, proper guidance, and advantages of the model is dependent for the transformation to digital medium of the higher education that will be leading to the development of the management and the education system. The foundation of that transformation model is detailed in the paper for the digitalization of higher education.

The waste-to-energy (WtE) project plays a significant role in the sustainable development of urban environments. However, the inherent “Not in my backyard” (NIMBY) effect presents substantial challenges to site selection decisions. While effective public participation is recognized as a potential solution, research on incorporating it into site selection decision-making frameworks remains limited. This paper aims to establish a multi-attribute group decision-making framework for WtE project site selection that considers public participation to enhance public satisfaction and ensure project success.

Firstly, based on consideration of public demand, a WtE project site selection decision indicator system was constructed from five dimensions: natural, economic, social, environmental and other supporting conditions. Next, the Combination Ordered Weighted Averaging (C-OWA) operator and game theory were applied to integrate the indicator weight preferences of experts and the public. Additionally, an interactive, dynamic decision-making mechanism was established to address the heterogeneity among decision-making groups and determine decision-maker weights. Finally, in an intuitive fuzzy environment, an “acronym in Portuguese of interactive and multi-criteria decision-making” (TODIM) method was used to aggregate decision information and evaluate the pros and cons of different options.

This study develops a four-stage multi-attribute group decision-making framework that incorporates public participation and has been successfully applied in a case study. The results demonstrate that the framework effectively handles complex decision-making scenarios involving public participation and ranks potential WtE project sites. It can promote the integration of expert and public decision-making preferences in the site selection of WtE projects to improve the effectiveness of decision-making. In addition, sensitivity and comparative analyses confirm the framework’s feasibility and scientificity.

This paper provides a new research perspective for the WtE project site selection decision-making, which is beneficial for public participation to play a positive role in decision-making. It also offers a valuable reference for managers seeking to effectively implement public participation mechanisms.

This research investigates the role of customer forgiveness as the result of online service recovery transparency in predicting customer engagement. It also examines the moderating roles of timeliness and personalization in this proposed model.

An online survey study using retrospective experience sampling and a scenario-based experimental study were conducted to test the proposed hypotheses.

Customer forgiveness positively influences customer engagement and plays a mediating role in the relationship between service recovery transparency and customer engagement. Additionally, timeliness and personalization moderate the positive influence of service recovery transparency on customer forgiveness. The positive influence of service recovery transparency on customer forgiveness is more apparent when levels of timeliness and personalization decrease.

To retain focal customers' engagement after a service failure, firms must obtain their forgiveness. One of the firm's online complaint handling strategies to increase the forgiveness level of focal customers is to provide a high level of service recovery transparency (i.e. responding to their complaints in a public channel), especially when the firm is unable to respond to online complaints quickly or provide highly personalized responses.

This research provides new insights into the underlying mechanism of customer engagement by applying the concept of customer forgiveness. It also contributes to the social influence theory by applying the essence of the theory to explain how other customers' virtual presence during the online complaint handling influences the forgiveness of focal customers in order to gain their engagement. Additionally, it provides insight into the conditions under which the role of service recovery transparency can be very effective in dealing with online complaints.

COVID-19 pandemic significantly impacted the nature of support available to new parents. Previously we conducted a study to explore parents' experiences of shifting to ‘digitalised’ caregiving specifically focussing on parents' access to online parenting groups. That study is re-examined in this chapter, presenting parents' narratives about their attempts to provide the best environment for their children while most of their face-to-face support networks were unavailable. The analysis aims to determine parents' constructions of the ‘COVID baby’, a term introduced by Brown (2021), although never defined in detail. Three themes were identified: ‘Hopes and fears for the babies’ future’; ‘Peaceful and oblivious babies’; ‘Babies as a perceived mirror of parents’ abilities’. Parents in this study depicted a positive portrait in which babies thrived at home; however, they expressed worries about their children’s future, as they lacked opportunities for development and socialisation usually offered by paid or unpaid group activities. To compensate, some parents engaged in extra labour at home in the face of home-made activities, inspired by previously attended group sessions. We argue that new parents, specifically mothers, are often pressured to display ‘intensive mothering’ to provide the best opportunities for development for their babies and fulfil gender and class expectations: such pressure leads to increased consumerism. Limitations of this approach have been emphasised by the simpler life that the lockdown forced on them, with apparent benefits to the babies' well-being. On the other hand, the need for new parents to be connected to nurturing networks of support remains essential.

In developing countries, rapid industrial growth frequently results in companies with high pollution levels, which in turn exhibit characteristics such as elevated emissions, increased energy consumption and overcapacity. In order to promote sustainable development among these heavily polluting firms, it is essential to implement a system of incentives and penalties that encourages environmentally responsible behaviour. China's environmental protection tax has replaced the previous pollution discharge fee (PDF) system. This tax aims to guide enterprises towards continuous adjustments and improvements in their production methods, increased investments in green technology, adoption of environmentally friendly production methods, reduced pollutant emissions and promotion of high-quality development. This chapter analyses how China's Environmental Protection Tax Law, enforced in 2018, affects the sustainable development capabilities of A-share listed companies in China. We utilise a difference-in-differences (DiD) model and measure total factor productivity (TFP) to quantify the impact of the tax law on these enterprises. TFP is a key indicator used to measure the effectiveness of resources utilised by enterprises in the production process. Our empirical analysis provides compelling evidence that the implementation of environmental protection taxes has significantly enhanced the TFP of heavily polluting enterprises. Importantly, the impact of these taxes is more pronounced for state-owned enterprises (SOEs) in comparison to their private counterparts in this sector. These findings offer valuable insights for policymakers in developing countries as they consider the design of environmental protection tax systems and supportive measures to promote sustainable development of companies with significant environmental impacts.

Health care organizations’ decision-making for the future relies on anticipating changes. Reliable predictions are becoming increasingly difficult, creating anxiety and requires long-term adaptive planning to cope with unforeseen circumstances. The purpose of this study is to gain insights into the awareness of uncertainties that decision makers in healthcare have, particularly when making long-term investments.

This is a qualitative study with an explorative purpose. The data were collected through semi-structured and open interviews with board members of long-term care organizations.

The study revealed that respondents are most uncertain about the future financing of their real estate system. Another concern revealed is about the shortage of care professionals combined with an increasing demand for future care. Despite most decision makers do recognize uncertainties during the decision-making process, decision makers hardly address the level of these uncertainties. Although this study did find that some decision makers are aware of deep uncertainties, in terms of “unknown unknowns,” they have no actual approaches for dealing with such situations.

Decision makers at healthcare organizations are uncertain as to their ability to anticipate technological, economic, social and political developments, as well as predict future healthcare system transformations. Some decision makers are aware of deep uncertainties, in terms of “unknown unknowns” and “unidentified unknowns,” but they lack an actual approach to deal with such situations. This study examines how strategies adapt to unforeseen developments or how to deal with deep uncertainties in healthcare as complex adaptive system.