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Organizations' technological management capabilities (TMC) have emerged as a powerful tool to enable manufacturing firms to deal with environmental issues. This empirical investigation aims to introduce and validate a novel conceptual framework that seeks to uncover the latent relationships among the selected constructs of this study. Organizational TMC could enhance green production (GP) and reinforce the green competitive advantage (GCA) among manufacturing firms. Therefore, this research investigates the role of TMC of firms such as artificial intelligence capability (AIC), big data analytics capability (BDAC) and Internet of things capability (IOTC) in reshaping green innovation (RGI), employee development (ED), GP and GCA.

The Partial Least Squares-Structural Equation Modeling was proposed to test and validate this research’s conceptual model using 463 valid responses from manufacturing under the China–Pakistan Economic Corridor (CPEC) umbrella.

Our statistical findings confirmed that TMCs such as AIC, BDAC and IOTC supported the GP and CGA. ED and RGI positively correlated to GP. The hypotheses testing results also confirmed the mediating role of ED, RGI and GP and the moderating role of green firm innovativeness capability (GFIC) in the underdeveloped context of the manufacturing industry under the CPEC.

Moreover, the statistical findings of this study extend the existing literature by validating the possible direct, indirect/mediation and indirect/moderation relationship between TMC and GCA.

Tourism value chain (TVC) analysis has been widely used as an alternative approach for designing sustainable and inclusive programs for tourism development in Africa, Asia, and the Pacific. This chapter looks at the experiences of three sustainable tourism initiatives in the Philippines to assess the strengths and limitations of the value chain as a framework for destination development. Short case studies describe the experiences of stakeholders in two popular destinations in the Philippines: the surfing town of San Juan, La Union, and the resort-island of Panglao, Bohol. The third case study shares the perspective of the Transforming the Tourism Value Chain (TTVC) project, a national campaign for more sustainable hotels, resort as well as meetings, conventions, incentives, and event (MICE) facilities in various destinations around the country. Stakeholders deeply involved in implementing these projects share their insights on the successes, challenges, and limitations of TVC-based approaches to resilient and sustainable destination development. The destinations' experiences suggest that the advocacy for sustainable management and operations may be comparable to a process of technology adoption or acceptance along the TVC. Practical and theoretical recommendations for leveraging the TVC toward more holistic and sustainable visitor economies are given at the end of this chapter.

This study aims to evaluate the quality of information recorded in Behaviour Monitoring Charts (BMC) for Behaviours that Challenge (BtC) in dementia in an older adult inpatient dementia service in the North of England (Aim I) and to understand staff perceptions and experiences of completing BMC for BtC in dementia (Aim II).

Descriptive statistics and graphs were used to analyse and interpret quantitative data gathered from BMC (Aim I) and Likert-scale survey responses (Aim II). Thematic analysis (Braun and Clarke, 2006) was used to analyse and interpret qualitative data collected from responses to open-ended survey questions and, separately, focus group discussions (Aim II).

Analysis of the BMCs revealed that some of the data recorded relating to antecedents, behaviours and consequences lacked richness and used vague language (i.e. gave reassurance), which limited its clinical utility. Overall, participants and respondents found BMC to be problematic. For them, completing BMCs were not viewed as worthwhile, the processes that followed their completion were unclear, and they left staff feeling disempowered in the systemic hierarchy of an inpatient setting.

Functional analysis of BMC helps identify and inform appropriately tailored interventions for BtC in dementia. Understanding how BMCs are used and how staff perceive BMC provides a unique opportunity to improve them. Improving BMC will support better functional analysis of BtC, thus allowing for more tailored interventions to meet the needs of people with dementia.

Though qualitative evidence of social impact exists for disability-inclusive social enterprise, there is a dearth of quantitative economic impact on their social impact. This study aims to address this gap and investigate the appropriateness and usefulness of social return on investment (SROI) methodology in this context.

Primary data was collected from people with disabilities, their families, staff at the parent company (an Australian Disability Enterprise [ADE]), social investors and other key stakeholders (n = 17). The study was also informed by the literature and a steering group to provide expert opinion when no other data existed to inform estimates. Sensitivity analysis was performed to check the robustness of the analysis.

Social return was estimated at $1.47–$2.65 for every $1 invested (over 3 years) and $8.48–$12.63 (20 years). Some forecast assumptions significantly impacted upon final ratios and need to be tested. How SROI ratios are received by social investors, the ADE sector and government remains untested. However, the political climate suggests ADEs adopting social enterprise models will be well received if they can deliver, and demonstrate through robust measurement, sustainable open employment opportunities.

Few studies exist that estimate the social impact of social enterprises supporting open employment of people with disabilities. At a time when ADEs (sheltered workshops) have been heavily criticised for providing repetitive, menial work for top up wages on welfare payments, the outputs from this research may provide valuable data to an ADE sector in transition as well as social investors and policy makers who increasingly require robust measurement of impact.

Police officers in the UK frequently experience traumatic events and work pressures, and these can have a detrimental impact on mental health. A psychological surveillance programme has been implemented and clinically evaluated. This paper reports an economic evaluation of the programme.

A decision analytic model was developed to explore programme costs, outcomes and return on investment for a notional cohort of 1,000 police personnel (officers and staff). The model parameters were obtained from a large data set of sequential psychological surveillance results. Changes in individual work productivity were derived from a workability measure included in the survey.

The modelled expected total cost incurred to screen 1,000 participants was £84,287 ($106,971). The expected net increase in work productivity for those receiving interventions was valued at £241,672 ($306,713). This result represents a return on investment of 187%. Sensitivity analyses showed that the model was robust to changes in key parameters.

Police personnel experiencing traumatic events may need specialist support from occupational health services or psychological therapy. Screening or surveillance can detect mental health problems, but its cost-effectiveness has been previously unknown.

The value for money of providing surveillance within the police force to detect mental health problems is assessed in this research. The gains in terms of increased work are evident. In similar environmental working conditions, this could extend to emergency services globally.

The police are often called upon to deal with the lowest points in people’s lives. The findings have implications for police forces wishing to support officers to be able to provide the best of themselves in these situations.

There have been no previous studies in policing that have concluded that running a psychological surveillance programme in policing is financially viable. Although this requires initial investment, this paper models that the extra costs incurred are more than offset by improved work productivity.

This paper aimed to develop a participatory methodology to analyze the disaster risk creation in coastal cities, based on an approach that combines social, urban, environmental and disaster risk elements.

The methodology uses some aspects of three theoretical approaches in a complementary way: i) the Pressure and Release (PAR) framework for the identification of dynamic pressures that contribute to disaster risk creation; ii) the application of Drivers, Pressure, State, Impact, Response (DPSIR) framework to analyze environmental dimensions; and iii) urban analysis, applying the Strengths, Weaknesses, Opportunities and Threats (SWOT) tool to classify urban processes. The methodology combined the use of satellite remote sensing data to analyze the urban sprawl and citizen science methods to collect social and environmental data, using the case study of the watershed of the Juqueriquerê River in the coastal city of Caraguatatuba, Brazil. The pilot project was part of a local university extension project of the undergraduate course on Architecture and Urban Planning and also engaged residents and city hall representatives.

The satellite remote sense data analysis indicated a continuous urban sprawl between 1985 and 2020, especially in the south of the Juqueriquerê watershed, reducing urban drainage and increasing the extension and water depth of urban flooding and riverine floods. Using citizen science methods, undergraduates identified settlements with limited economic resources to elevate houses and a lack of infrastructure to promote a resilient coastal city. After identifying the dynamic pressures that contribute to disaster risk creation and the weaknesses and strengths of a resilient city, undergraduate students proposed urban planning interventions and gray and green infrastructure projects to mitigate disaster risks.

The paper identifies urban sprawl in disaster-prone areas as one of the risk factors contributing to disaster. It also comprehensively analyzes differences between different zones in the Juqueriqere River, which will be useful for policy-making.

The method presented an interdisciplinary approach that used satellite remote sensing data and citizen science techniques to analyze disaster risks in coastal cities. The multidimensional approach used to evaluate risks is useful and can be replicated in other similar studies to gain a more comprehensive understanding of disaster risks.

The current work aims to understand the consumers’ adoption of electric vehicles (two-wheelers) from their value perspective by utilizing the value-based adoption model.

The study considered data from 302 potential electric two-wheeler customers and tested the hypotheses using structural equation modeling.

The outcomes showed that perceived economic benefits, social image, enjoyable acceleration and enhanced fun and perceived environment (positively) and perceived physical safety risk, perceived cost of ownership and range and charging risk (negatively) influenced the customers’ perceived value linked with electric two-wheeler (ETW) adoption. Only low engine noise emission and infrastructure issues did not affect perceived value.

Most of the respondents considered in the study were less than 35 years old. Hence, the model can be tested for other age groups.

The study’s outcomes will help ETW marketers, manufacturing companies and governments (state and central) to provide a more convenient environment for electric two-wheelers' adoption and help them curate appropriate strategies.

The current work offers a better understanding of potential customers' ETW adoption by employing a value-based trade-off.

Despite the growing popularity of SHVL fashion, there is little empirical focus on the antecedent factors that influence consumers’ intention to purchase and recommend SHVL fashion. Drawing on insights from the stimulus–organism–response framework, this paper aims to investigate the motivational factors influencing the consumers’ attitudes and their intention to purchase and recommend SHVL fashion.

Primary data was gathered from 232 present customers of SHVL fashion products and analysed using the partial least square structural equation modelling.

Research findings show that eco-consciousness, treasure hunting, status consumption and the need for uniqueness were positively linked to intentions to purchase SHVL fashion through the intervening role of attitude. Attitude was positively linked with purchase intentions, which also positively influenced intention to recommend SHVL fashion.

The study findings assist brand managers in understanding how they can cater to the diverse needs of SHVL fashion consumers.

This research contributes significantly to the SHVL domain by examining core antecedents that motivate consumers’ intention to purchase and recommend SHVL fashion.

A pesar de la creciente popularidad de la moda de lujo vintage de segunda mano (SHVL), hay poco enfoque empírico en los factores antecedentes que influyen en la intención de los consumidores de comprar y recomendar moda de lujo vintage de segunda mano. Basándose en ideas del marco S-O-R, este documento investiga los factores motivacionales que influyen en las actitudes de los consumidores y su intención de comprar y recomendar moda de lujo vintage de segunda mano.

Se recopilaron datos primarios de 232 clientes actuales de productos de moda de lujo vintage de segunda mano y se analizaron utilizando el modelado de ecuaciones estructurales de mínimos cuadrados parciales.

Los hallazgos de la investigación muestran que la conciencia ecológica, la búsqueda de tesoros, el consumo de estatus y la necesidad de unicidad están vinculados positivamente con las intenciones de comprar moda de lujo vintage de segunda mano a través del papel intermediario de la actitud. La actitud se vinculó positivamente con las intenciones de compra, lo que también influyó positivamente en la intención de recomendar moda de lujo vintage de segunda mano.

Los hallazgos del estudio ayudan a los gerentes de marca a entender cómo pueden atender las diversas necesidades de los consumidores de moda de lujo vintage de segunda mano.

Esta investigación contribuye significativamente al dominio de la moda de lujo vintage de segunda mano al examinar los antecedentes clave que motivan la intención de los consumidores de comprar y recomendar moda de lujo vintage de segunda mano.

尽管二手复古奢侈品时尚（SHVL）日益流行, 但关于影响消费者购买和推荐二手复古奢侈品意图的前因因素的实证研究却很少。基于S-O-R框架的洞察, 本研究探讨了影响消费者态度及其购买和推荐二手复古奢侈品时尚意图的动机因素。

从232名现有二手复古奢侈品时尚产品的顾客中收集了主要数据, 并使用偏最小二乘结构方程模型（PLS-SEM）进行了分析。

研究发现, 环保意识、寻宝乐趣、地位消费和独特性需求通过态度的中介作用, 与购买二手复古奢侈品的意图正相关。态度与购买意图正相关, 购买意图也正向影响推荐二手复古奢侈品的意图。

研究结果帮助品牌经理了解如何满足二手复古奢侈品消费者的多样化需求。

本研究通过考察核心前因因素对消费者购买和推荐二手复古奢侈品时尚意图的动机的影响, 为二手复古奢侈品领域做出了重要贡献。

High levels of child obesity alongside rising stunting and the absence of a coherent food policy have deemed UK’s food system to be broken. The National Food Strategy (NFS) was debated intensely in media, with discussions on how and who should fix the food system.

Using a mixed methods approach, the authors conduct framing analysis on traditional media and sentiment analysis of twitter reactions to the NFS to identify frames used to shape food system policy interventions.

The study finds evidence that the media coverage of the NFS often utilised the tropes of “culture wars” shaping the debate of who is responsible to fix the food system – the government, the public or the industry. NFS recommendations were portrayed as issues of free choice to shift the debate away from government action correcting for market failure. In contrast, the industry was showcased as equipped to intervene on its own accord. Dietary recommendations made by the NFS were depicted as hurting the poor, painting a picture of helplessness and loss of control, while their voices were omitted and not represented in traditional media.

British media’s alignment with free market economic thinking has implications for food systems reform, as it deters the government from acting and relies on the invisible hand of the market to fix the system. Media firms should move beyond tropes of culture wars to discuss interventions that reform the structural causes of the UK’s broken food systems.

As traditional media coverage struggles to capture the diversity of public perception; the authors supplement framing analysis with sentiment analysis of Twitter data. To the best of our knowledge, no such media (and social media) analysis of the NFS has been conducted. The paper is also original as it extends our understanding of how media alignment with free market economic thinking has implications for food systems reform, as it deters the government from acting and relies on the invisible hand of the market to fix the system.