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This paper is a response to the failure of construction firms to use sufficient attention to their working capital management (WCM) practices, resulting in operational challenges, and leading to the collapse of firms in most developing countries. Hence, this study aims to explore the empirical perspective of WCM practices among large building construction firms (LBCFs) in Ghana, to help achieve the Sustainable Development Goal 9.

The study collected primary data through structured survey questionnaires from LBCFs in Ghana. The CEOs/Directors, General Managers and Accountant/Finance of LBCFs in Ghana formed the unit of analysis based on a simple random sampling technique. Mean score, standard deviation and one-sample t-test were used to perform the empirical analysis of the study.

According to this study's empirical results, LBCFs appear to have effective WCM practices in place. This was evidenced in the surveyed responses which indicate that the sector’s WCM practices sound good based on the mean scores and statistically significant as the t-values > 1.664. Notably, LBCFs in Ghana pay their suppliers early to reduce the fear of adverse effect of late payments on their credit history, making them conservative in their approach toward financial management.

This is a pioneering paper in a developing country like Ghana, highlighting the significance of gaining an in-depth understanding of WCM practices among LBCFs. The findings of this study are expected to provide valuable information to industry players toward ensuring WCM efficiencies and can serve as a solid foundation for further empirical studies.

For a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new generation wine consumers based on their sensitivity to wine brand, origin and price and then conduct user profiles for segmented consumer groups from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences.

We first proposed a consumer clustering perspective based on their sensitivity to wine brand, origin and price and then conducted an adaptive density peak and label propagation layer-by-layer (ADPLP) clustering algorithm to segment consumers, which improved the issues of wrong centers' selection and inaccurate classification of remaining sample points for traditional DPC (DPeak clustering algorithm). Then, we built a consumer profile system from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences for segmented consumer groups.

In this study, 10 typical public datasets and 6 basic test algorithms are used to evaluate the proposed method, and the results showed that the ADPLP algorithm was optimal or suboptimal on 10 datasets with accuracy above 0.78. The average improvement in accuracy over the base DPC algorithm is 0.184. As an outcome of the wine consumer profiles, sensitive consumers prefer wines with medium prices of 100–400 CNY and more personalized brands and origins, while casual consumers are fond of popular brands, popular origins and low prices within 50 CNY. The wine sensory attributes preferred by super-new generation consumers are red, semi-dry, semi-sweet, still, fresh tasting, fruity, floral and low acid.

Young Chinese consumers are the main driver of wine consumption in the future. This paper provides a tool for decision-makers and marketers to identify the preferences of young consumers quickly which is meaningful and helpful for wine marketing.

In this study, the ADPLP algorithm was introduced for the first time. Subsequently, the user profile label system was constructed for segmented consumers to highlight their characteristics and demand partiality from three aspects: demographic characteristics, consumers' eating habits and consumers' preferences for wine attributes. Moreover, the ADPLP algorithm can be considered for user profiles on other alcoholic products.

Technological tools for knowledge management (KM) actively support and enhance knowledge acquisition and sharing in organizations. However, technology for KM has been understudied, especially in terms of disruptive technologies (DTs). There is a need to identify how DTs, which are becoming increasingly important in industry and society, are applied to KM and their impact. This paper aims to examine the current state of technology and DT adoption in KM.

The analysis involves four steps. First, we examine the current status of DT in academia through a keyword co-occurrence network of literature. Second, we analyze the technological convergence (TC) of KM technology through the cooperative patent classification code co-classification analysis of patents. Third, we explore the main topics of KM technologies using BERTopic, and finally, we explore the introduction of DT into KM technologies and suggest potential TC combinations for the future.

KM technologies can be categorized into four main topics (knowledge acquisition, sharing, searching, and transfer), and DT is most often applied to knowledge transfer and acquisition. The DTs that are attracting attention from academia and industry are artificial intelligence, augmented and virtual reality, and blockchain, which have applications in healthcare, supply chain management, and human resource management.

The findings provide useful insights for organizations to build a technology roadmap for KM. They can also improve the rigid mindset of organization employees toward DT adoption and innovation. By adopting a KM system that leverages DT, organizations will be able to manage and operate efficiently and systematically.

The United Nations has demonstrated a commitment to preserving the ecosystem through its 2030 sustainable development goals agenda. One crucial objective of these goals is to promote a healthy ecosystem and discourage practices that harm it. Building materials production significantly contributes to the emissions of greenhouse gases. This poses a threat to the ecosystem and prompts a growing demand for sustainable building materials (SBMs). The purpose of this study is to investigate SBMs to determine their utilization in construction operations and the potential impact their application could have on construction productivity.

A systematic review of the existing literature in the field of SBMs was conducted for the study. The search strings used were “sustainable” AND (“building” OR “construction”) AND “materials” AND “productivity”. A total of 146 articles were obtained from the Scopus database and reviewed.

Bio-based, cementitious and phase change materials were the main categories of SBMs. Materials in these categories have the potential to substantially contribute to sustainability in the construction sector. However, challenges such as availability, cost, expertise, awareness, social acceptance and resistance to innovation must be addressed to promote the increased utilization of SBMs and enhance construction productivity.

Many studies have explored SBMs, but there is a dearth of studies that address productivity in the context of SBMs, which leaves a gap in understanding. This study addresses this gap by drawing on existing studies to determine the potential implications that using SBMs could have on construction productivity.

Blockchain technology can potentially address the challenges of information storage, sharing and management and improve them further in an organization and sector as a whole. This study aims to investigate the effects of technology, organization and environment on the behavioral intention of employees to adopt blockchain in the Indian insurance sector and the mediating role of knowledge management practices.

A structured questionnaire was used to collect a sample size of 390 responses based on convenience sampling. Partial least square structural equation modeling was used to analyze the data.

The findings highlighted that organizational factors, followed by technological factors, significantly impact employees' behavioral intentions. The results established that the impact of environmental factors is insignificant on blockchain adoption intention. Knowledge management practices significantly mediate the relationship between organizational factors, technological factors and behavioral intention.

The results indicate that organizations must prioritize organizational factors (technological competence, top management support and financial readiness) and knowledge management practices (knowledge creation, sharing and retention) to positively impact employees' behavioral intentions and ensure successful and effective technology adoption.

Using the Technology-Organization-Environment framework, the study tests the conceptual model, showing the relationship between technological, organizational and environmental factors, behavioral intention and knowledge management practices. The role of knowledge management practices in technology adoption within organizations has been scarcely explored. This study adds significant and novel contributions in this area.

This study aims to evaluate the impact of the COVID-19 pandemic on technology adoption, innovation and business relationships among small and mid-sized enterprises (SMEs) in Ghana. Specifically, it examines how technical know-how and innovative sustainable marketing strategies mediate and moderate these relationships, offering insights into the broader dynamics of digital transformation and sustainability in emerging markets.

The study surveyed management and employees from SMEs in Ghana’s financial sector. A Partial Least Squares Structural Equation Modeling approach was used to test the constructs’ reliability and validity and evaluate the hypothesized relationships with 357 completed questionnaires out of 452 total responses gathered.

The results indicate that post-pandemic, challenges in maintaining business relationships and the lack of technical know-how have driven the increased adoption of technology and innovative sustainable marketing strategies. These factors have also contributed to improved hygienic practices among SMEs. The study concludes that these changes are crucial for accelerating digitalization and ensuring long-term sustainability for SMEs in developing countries, especially in the wake of pandemic disruptions.

This study provides a novel contribution by exploring the intersection of emerging technologies such as mobile applications and blockchain within the context of pandemic-induced digital transformation. The findings emphasize the importance of these technologies in shaping the future growth and sustainability of businesses. Additionally, the paper highlights both the limitations of the current study and proposes future research directions to further advance the understanding of digital transformation in emerging markets.

This study aims to explore conditions for the application of blockchain-enabled financing versus traditional prepayment. It seeks to understand how a short food supply chain can choose more efficient financing pattern under loan risk compensation policy, crucial for designing an optimal short food supply chain.

Employing Stackelberg game, decisions of the short food supply chain regarding the adoption of different financing patterns are modeled. The theoretical model’s outcomes are validated using data from the Ministry of Agriculture and Rural Affairs of China, including publicly available market prices and costs of soybeans and wheat over the past decade. Adjusted market prices are derived using consumer price index for residential prices to eliminate the impact of inflation.

The loan risk compensation rate, prepayment discount rate, blockchain-enabled financing interest rate and distribution of crop output create three distinct scenarios, prompting members of the short food supply chain to form various financing pattern preferences. Simultaneously, loan risk compensation effectively improves supply chain performance. Moreover, the impact of risk compensation is more pronounced at lower output rates.

This research emphasizes that the blockchain-enabled financing pattern is not always dominant. Government departments can shape the financing pattern preferences of supply chain members by adjusting risk compensation rate, thereby promoting the application of the blockchain-enabled financing pattern. This paper contributes to the literature on the adoption of blockchain technology for financing short food supply chain by delving into the issue of financing pattern selection.

This paper investigates whether resilience capabilities influence manufacturing performance dimensions. Specifically, it empirically analyses how supply chain agility, alertness, adaptability and preparedness affect manufacturing firms’ operational and sustainable (economic, social and environmental) performance aspects.

The paper employed a deductive approach and an explanatory design. It gathered survey data from 285 managers in 5,329 Ghanaian manufacturing firms and analysed it using structural equation modelling.

The study found resilience capabilities comprising agility, alertness and adaptability to significantly and positively predict changes in manufacturing firms’ sustainable (environmental, economic and social) and operational performance. However, the preparedness capability positively impacts the firms’ operational and environmental performance, not economic and social.

This paper is restricted to Ghana’s manufacturing industry. Underpinned by the dynamic capabilities theory and extensive empirical reviews, the model was developed with four resilient capabilities and four manufacturing performance dimensions.

The study highlights the relevance of resilience in today’s highly disruptive manufacturing environment for achieving sustainable and operational performance. It encourages manufacturing firms to prioritise heavy investments in alertness, adaptability and agile capabilities to overcome supply chain disruptions and enhance sustainable and operational excellence. It also offers significant insights for policymakers, managers and industry players to advance resilience capabilities and swiftly detect and recover from emerging disturbances in manufacturing supply chains, leading to higher performance.

The study contributes to resource conservation and a more sustainable future by projecting resilient capabilities in today’s disruptive environments. The shift towards SCR can influence public attitudes and opinions toward manufacturing and contribute to firms’ sustainability goals.

This study is the first to investigate the linkages between resilient capabilities and performance aspects simultaneously in less developed economies like Ghana. In these economies, manufacturing supply chains often face varying risks that continue to disrupt their operations and sustainability goals.

This paper aimed to shed light on the relationship between blockchain technology intensity and tax evasion and whether this relationship is moderated by good governance.

Data from a sample of 50 European companies selected from the STOXX 600 index between 2010 and 2019 were used to test the model via panel data and multiple regression. Here, we used the generalized least squares method estimated on panel data. A multivariate regression model was used to analyze the moderating effect of good governance on the association between blockchain technology intensity and tax evasion. For the robustness analyses, we included the comparative study of legal systems. We performed an additional analysis by testing the dynamic dimension of the data set using the generalized method of moments to control for the endogeneity problem.

Expectedly, the results showed a negative relationship between blockchain technology intensity and tax evasion. Furthermore, the findings suggest that the moderating variable negatively affects the relationship between blockchain technology and tax evasion.

To our knowledge, this study supports the existing literature. Firstly, it expands the scientific debate on tax evasion. Secondly, it extends the scope of the agency theory, which is used to explain the phenomena associated with tax evasion. This study is one of the first to examine the moderating effect of good governance on the association between blockchain technology intensity and tax evasion.

This paper aims to deepen the understanding of robust food supply chains (FSC) in SMEs by exploring and analyzing the literature through the lenses of digital technologies.

The study collected data from Scopus spanning from 2010 to 2024, employing selected keywords, and processed it using VOS-viewer and Biblioshiny to derive valid inferences and theoretical arguments.

The review paper identified several key themes shaping the future of supply chain management – Sustainability in SCM, Industry 4.0, Digitalization with FSCM, Circular Economy, Food Waste with Supply Chain, Food Security and Climate Change. These themes collectively bring transformative opportunities for both the adoption of digital technologies and sustainable practices in food supply chains.

The review found limitations are rooted in financial constraints, institutional barriers and expertise-related challenges encountered within the realm of Digitalization and FSC. Government and corporate houses should focus on these limitations as well as convert them to strengthen the SMEs of FSC.

The study stands out as a pioneering review that not only explores Digitalization in FSC but also explores the link and evidence of SMEs in the unorganized sector, providing unique insights into a previously underexplored area.