Search results

The manufacturing investment shift from developed countries to emerging and developing regions creates further needs for identifying appropriate green certification strategies. This study proposes that alignments between green certification practices (GCRs) and process innovation (PIN) could help identify appropriate strategies that national economic development can influence.

Drawing on the diffusion of innovation theories, this study proposed a taxonomy to examine whether sustainable performance differs depending on the levels of alignment and the role of national economic development. The study uses an empirical survey approach to highlight alignments between GCRs and PIN among developed, developing and emerging economic nations, addressing resource allocation for the world's sustainable development goals (SDGs).

Manufacturers need to align PIN practices with the level of green certification to achieve sustainable performance. Manufacturers experiencing higher payoffs from various improvements successfully align in GCR and PIN. The alignment between these two concepts can derive different taxonomies, which highlight performance and managerial implications for manufacturers. The manufacturers followed three distinct typologies: minimalist, process active and proactive. Besides, building on the theory of performance frontiers, the findings indicated that manufacturers in developing and emerging economies placed the most substantial GCR effort compared to their counterparts in developed nations. Manufacturers in developed countries are increasingly reaching the “diminishing points” and investing limited resources in GCR just enough to keep their competitive positioning as order qualifiers rather than order winners. Developing economies are catching up very quickly in attaining GCRs and business performance.

This insight is essential for managers to adapt to nations' economic development conditions and appropriately and effectively align resources.

The findings offer a decision-making process and provide straightforward guidelines for supply chain managers' green certification adoption.

In including both PIN and green certification, this paper adds greater comprehensiveness and richness to the supply chain literature.

The increasing urgency to address climate change in construction has made green construction (GC) and sustainability critical topics for academia and industry professionals. However, the volume of literature in this field has made it impractical to rely solely on traditional systematic evidence mapping methodologies.

This study employs machine learning (ML) techniques to analyze the extensive evidence-base on GC. Using both supervised and unsupervised ML, 5,462 relevant papers were filtered from 10,739 studies published from 2010 to 2022, retrieved from the Scopus and Web of Science databases.

Key themes in GC encompass green building materials, construction techniques, assessment methodologies and management practices. GC assessment and techniques were prominent, while management requires more research. The results from prevalence of topics and heatmaps revealed important patterns and interconnections, emphasizing the prominent role of materials as major contributors to the construction sector. Consistency of the results with VOSviewer analysis further validated the findings, demonstrating the robustness of the review approach.

Unlike other reviews focusing only on specific aspects of GC, use of ML techniques to review a large pool of literature provided a holistic understanding of the research landscape. It sets a precedent by demonstrating the effectiveness of ML techniques in addressing the challenge of analyzing a large body of literature. By showcasing the connections between various facets of GC and identifying research gaps, this research aids in guiding future initiatives in the field.

This study aims to improve a construction company's overall project delivery by utilising lean six sigma (LSS) methods combined with building information modelling (BIM) to design, modularise and manufacture various building elements in a controlled factory environment off-site.

A case study in a construction company utilised lean six sigma (LSS) methodology and BIM to identify non-value add waste in the construction process and improve sustainability.

An Irish-based construction company manufacturing modular pipe racks for the pharmaceutical industry utilised LSS to optimise and standardise their off-site manufacturing (OSM) partners process and leverage BIM to design skids which could be manufactured offsite and transported easily with minimal on-site installation and rework required. Productivity was improved, waste was reduced, less energy was consumed, defects were reduced and the project schedule for completion was reduced.

The case study was carried out on one construction company and one construction product type. Further case studies would ensure more generalisability. However, the implementation was tested on a modular construction company, and the methods used indicate that the generic framework could be applied and customized to any offsite company.

This is one of the few studies on implementing offsite manufacturing (OSM) utilising LSS and BIM in an Irish construction company. The detailed quantitative benefits and cost savings calculations presented as well as the use of the LSM methods and BIM in designing an OSM process can be leveraged by other construction organisations to understand the benefits of OSM. This study can help demonstrate how LSS and BIM can aid the construction industry to be more environmentally friendly.

This paper aims to examine whether China's grain price support policy has distorted the grain market price.

The time-varying differences-in-differences (DID) model is used to study the impact of support policies on grain prices, and it is combined with the event study method to explore the dynamic effects of price support policy. Panel data model is used to study the effect of the price support policy on price formation for national grain market prices. In addition, we apply the smooth transformation (STR) model to verify whether there is a distortion in the transmission of grain prices among different markets in China and from the international market to China’s market.

China’s grain price support policy plays a significant role in rising grain market prices, weakens the decisive role of the market mechanism in the formation of grain prices, hinders the spatial transmission of market price signals and decreases the effect of price transmission from the world market to China’s market.

In order to ensure both the stability of grain production as well as the market stability, and also to ensure that intervention policies do not distort the food market, the minimum purchase price of grain and market regulation policies should be adjusted as follows: (1) price support policy should be shifted to an income support policy and (2) reasonably determine the scale of reserves and implement a grain minimum purchase price policy in limited areas.

Our findings are relevant for understanding the effect of China's grain price support policies on the implementation regions and the price transmission effect, which provide reference experience for developing countries to implement food price policies.

The complexity and uncertainty of healthcare operations increasingly require agility to safeguard a high quality of care. Using a microfoundations of dynamic capabilities perspective, this study investigates the effects of nurses' implicit voice theories (IVTs) on the behaviors that influence their individual agility.

This research uses quantitative survey data collected from 2,552 Canadian nurses during the fourth wave of the Covid-19 pandemic in the fall of 2021. Structural equation modeling is used to test a conceptual model that hypothesizes the effects of three different IVTs on nurses' creativity, spontaneity, agility and the quality of care they deliver to patients.

The results reveal that voice-inhibiting cognitions (like “suggestions are criticisms for higher-ups”, “I first need a solution or solid data”, and “speaking up has negative repercussions”) negatively impact nurses' creativity and spontaneity in crafting solutions to problems they face daily. In turn, this affects nurses' individual agility as they attempt to adapt to changing circumstances and, ultimately, the quality of care they provide to their patients.

Even if organizations have little control over employees' pre-held beliefs regarding voice, they can still reverse them by developing and nurturing a voice-welcoming culture to boost their workers' agility.

This study combines two theoretical frameworks, voice theory and dynamic capabilities theory, to study how individual-level factors (cognitions and behaviors) contribute to nurses' individual agility and the quality of care they provide to their patients. It answers the recent calls of scholars to study the mechanisms through which healthcare operations can develop and sustain dynamic capabilities, such as agility, and better face the “new normal”.

Evidence suggests supported living can improve functioning and reduce need. However, its lack of a clear definition has presented significant challenges to establishing a definitive evaluation of its efficacy. This study aims to evaluate the efficacy of a defined model of supported living using in terms of reductions made to aspects of clinical and social recovery.

A naturalistic, non-controlled assessment was conducting using using the Camberwell Assessment of Need Clinical Scale with a sample of adults with severe and enduring mental illness residing with a UK-based mental health company at 1 of 12 UK locations.

Analysis regarding preliminary outcomes relating to health and social need is presented with comparison between admission and six-months post-admission (N = 90). Additional analysis relating to outcomes at 12 months is also provided (N = 39). Significant outcomes are noted at both timepoints in terms of reducing unmet need and levels of formal and informal help given/required during tenancy.

The findings support that, even in the absence of clinical recovery, opportunities exist to make meaningful and valuable improvements to unmet need and functional independence, with implications for clinical practice in the context of supported living.

The findings provide encouraging early indications of the benefits of the model in making meaningful reductions to functional and psychological needs in individuals with severe and enduring mental illness.

The purpose of this study is to examine the critical failure factors (CFFs) linked to various types of process improvement (PI) projects such as Kaizen, Lean, Six Sigma, Lean Six Sigma and Agile. Proposing a mitigation framework accordingly is also an aim of this study.

This research undertakes a systematic literature review of 49 papers that were relevant to the scope of the study and that were published in four prominent databases, including Google Scholar, Scopus, Web of Science and EBSCO.

Further analysis identifies 39 factors that contribute to the failure of PI projects. Among these factors, significant emphasis is placed on issues such as “resistance to cultural change,” “insufficient support from top management,” “inadequate training and education,” “poor communication” and “lack of resources,” as primary causes of PI project failures. To address and overcome the PI project failures, the authors propose a framework for failure mitigation based on change management models. The authors present future research directions that aim to enhance both the theoretical understanding and practical aspects of PI project failures.

Through this study, researchers and project managers can benefit from well-structured guidelines and invaluable insights that will help them identify and address potential failures, leading to successful implementation and sustainable improvements within organizations.

To the best of the author’s knowledge, this paper is the first study of its kind to examine the CFFs of five PI methodologies and introduces a novel approach derived from change management theory as a solution to minimize the risk associated with PI failure.

This research examines the impact of the National Rural E-commerce Comprehensive Demonstration Project (NRECDP) on poverty reduction and income growth in rural China.

The study develops a theoretical framework, which considers the role of geographical, technological, institutional and cultural factors for the e-commerce poverty alleviation (e-CPA) model. Empirically, this study applies the difference-in-differences (DID) model and the event study approach to evaluate the effectiveness of NRECDP on the basis of large-scale county-level and household-level panel data spanning 2010 to 2020.

The study found that the NRECDP, as a government-led, information and communication technology (ICT)-enabled, market-based program, has led to a significant increase in per capita output of primary industry employees, as well as in the disposable income of rural residents, especially those in national-level poverty-stricken (NP) counties. The interventions of the NRECDP achieved these positive outcomes through transportation and Internet infrastructure improvement, ICT adoption and human capital accumulation in impoverished towns and villages in remote rural areas. These effects are larger in the eastern region of China, followed by the central region, whereas the weakest effects were found in the western region. However, we found little evidence of the NRECDP increasing household developmental expenditure.

The study findings have important practical and policy implications for rural e-commerce development and self-sustained poverty alleviation solutions. The research revealed the significance of government NRECDP interventions for increasing rural income, reducing living costs, and empowering the rural population in its multiple social roles, namely, as consumers, producers, employees and microentrepreneurs. The local cultural context may also play a role in ICT adoption and entrepreneurship cultivation with a downstream effect on the effectiveness of e-CPA practices. Policymakers would need to ensure a supportive entrepreneur-friendly environment for rural e-commerce development and continue implementing progressive policies for poverty alleviation.

This study explores poverty alleviation issues in China by developing for the first time a multi-faceted framework that is subsequently tested by both county-level and household-level large-scale observations. Also, it is the first study to provide nationwide empirical evidence on the effectiveness of e-CPA in narrowing down the spatial and digital divides in China. In addition to the impact of geography, technology and governmental support, this study also sheds light on the role of culture in the adoption and diffusion of digital technologies and as a source of local entrepreneurial opportunities.

This study aims at analyzing the impact of green restaurants' sustainable practices (food safety, food sustainability practices, food quality, and environmental sensitivity) on consumer satisfaction and revisit intention.

A self-administered questionnaire was used to collect data from 417 participants who had recently experienced the services of leading green restaurants. The study draws upon the prevailing literature to test a series of research hypotheses through structural equation modeling.

The findings of the study have confirmed that sustainable practices such as food safety, food sustainability practices, environmental sensitivity, and food quality significantly influence consumers' satisfaction and revisit intentions. The willingness to pay has been found as a sensitive issue as it moderates the relationship between consumer satisfaction and revisit intention.

This study provides important insights for the businesses operating in foodservice industry. The study suggests important strategies to the restaurant business owners for improving their consumers' satisfaction and revisit intentions. These strategies may help foodservice businesses in building strong brand reputation and a competitive edge over others.

This study contributes to the food service literature by examining the restaurants' environmental legitimacy (food safety, food sustainability practices, food quality, and environmental sensitivity) from consumers' perspective. Moreover, the current study also fills the gap in literature by expanding the knowledge of consumers' pro-environmental behavior in the context of developing nations. Besides, to the best of the authors' knowledge, this is among very few studies, which have emphasized on analyzing consumer satisfaction and revisit intention based on their experience in a green restaurant on particular sustainable parameters.

The purpose of this study is to examine how young people imagine civic futures through speculative fiction writing about artificial intelligence (AI) technologies. The authors argue that young people’s speculative fiction writing about AI not only helps make visible the ways they imagine the impacts of emerging technologies and the modes of collective action available for leveraging, resisting or countering them but also the frictions and fissures between the two.

This practitioner research study used data from student artifacts (speculative fiction stories, prewriting and relevant unit work) as well as classroom fieldnotes. The authors used inductive coding to identify emergent patterns in the ways young people wrote about AI and civics, as well as deductive coding using digital civic ecologies framework.

The findings of this study spotlight both the breadth of intractable civic concerns that young people associate with AI, as well as the limitations of the civic frameworks for imagining political interventions to these challenges. Importantly, they also indicate that the process of speculative writing itself can help reconcile this disjuncture by opening space to dwell in, rather than resolve, the tensions between “the speculative” and the “civic.”

Teachers might use speculative fiction writing and the digital civic ecologies framework to support students in critically examining possible AI futures and effective civic actions within them.

Speculative fiction writing offers an avenue for students to analyze the growing civic concerns posed by emerging platform technologies like AI.