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This study aims to investigate the crucial role of information quality in the construction industry and its impact on organizational performance. The research objectives are threefold: (1) to identify and analyse key factors influencing information quality in construction organizations; (2) to examine how information quality affects strategic decision-making processes in the industry; and (3) to assess the extent to which information quality impacts overall organizational performance.

The study commences by gathering data from databases such as Scopus, Elsevier, Taylor and Francis, and Emerald Insight. The collected data is then analysed using ATLAS.ti 9 to construct a model linking information quality with strategic decision-making and organization performance.

The literature review analysis reveals the complex interplay between information quality, strategic decision-making and organizational performance in the construction industry. Key findings include identifying critical factors influencing information quality, such as technological infrastructure, organizational processes and personnel skills. The study highlights the necessity for organizations to recognize potential challenges in information management and formulate strategies to overcome them.

This research makes a significant contribution to the field by providing a comprehensive framework for understanding the role of information quality in strategic decision-making within the construction industry. The study’s originality lies in its systematic approach to synthesizing existing literature and developing visual representations of complex relationships between information quality, decision-making processes and organizational performance.

Introduction: The bank plays a significant role in financial intermediation and serves as market-makers and agents. The emergence of new financial technology, commonly known as “FinTech”, is anticipated to revolutionize these industries. FinTech encompasses technological advancements in the financial sector to enhance consumer satisfaction, streamline operational procedures, create novel products, and foster greater competition.

Purpose: The primary aim is to discuss the banking industry’s current and potential future state with the emergence of financial technology. The specific objective is to explore the emergence of new-age technologies in the banking industry and the challenges faced in their implementation.

Methodology: A qualitative method is employed to analyze the FinTech landscape. Researchers conducted an extensive literature review and analyzed recent news articles to explore the banking industry’s digital transformation through FinTech. The literature review encompassed academic journals, industry reports, and relevant books to provide a theoretical framework and historical context to capture current developments, real-world applications, and emerging trends.

Findings: The evolution and impact of financial technology on the global economic landscape have been explored. It highlights how FinTech innovations, such as blockchain, artificial intelligence, and mobile payments, have revolutionized traditional banking, enhancing efficiency, accessibility, and security. It discusses regulatory challenges and the need for a balanced approach to foster innovation while ensuring consumer protection. The findings underscore FinTech’s potential to drive economic growth and the importance of continuous adaptation to evolving technological trends.

The purpose of this study is to investigate the capabilities essential to vaccine supply chain (VSC) resilience given a mass vaccination endeavor during a pandemic.

An exploratory qualitative study was used to elicit the required capabilities pertinent to the design of resilient VSC flows. Data were extracted from white papers, reports, academic papers and the presentations of over 100 experts globally who convened at webinars, symposia and workshops to discuss the COVID-19 mass vaccination campaign and the VSC.

The results of this study indicated that 7 primary capabilities, 44 Level 1 sub-factor capabilities and 145 Level 2 sub-factor capabilities are essential to VSC resilience in a mass vaccination situation during a pandemic. Furthermore, through cluster analysis, associations of various degrees were identified between some pairs of resilience capabilities.

To the best of the author’s knowledge, a comprehensive and holistic exploratory research study that identifies systemic resilience capabilities of mass vaccination supply chains and aligns these requirements to the seven critical flows in the VSC has not been previously undertaken. A cluster analysis that depicts the relationships between the resilience capabilities has also not yet been done.

The results have significant consequences as an informative reference for leaders managing herd immunity goals during pandemic situations. Stakeholders in the public sector, private sector and other entities, involved in planning and managing all or part of a mass VSC during a pandemic, should find the results valuable in providing a structured approach for building resilience at systemic and individual flow levels.

This study contributes to the literature on designing resilient mass vaccination supply chains during a pandemic. Using data from a wide spectrum of published and audiovisual sources, this study identifies seven resilience capabilities to reduce disturbances that lead to delays in mass vaccination supply chains. This study develops a structured approach to align these capabilities to the seven critical flows in the VSC. Through cluster analysis, associations between the resilience capabilities are identified, indicating where multiple strategies may be required to reinforce VSC resilience.

Outsourcing and offshoring practices have introduced a high level of complexity into operations and supply chains, involving suppliers and manufacturers from various locations to deliver value to final customers within an integrated information-sharing system such as enterprise resource planning (ERP). Such supply chains have been facing more cyberattacks, a ubiquitous problem and danger to businesses worldwide. Therefore, the research objective addresses these research questions: “What is the role of complexity in building cyber-resilience in supply chains? What is the role of ERP in complex supply chains?”

This paper proposes a research model that is empirically tested along with robustness tests such as endogeneity. To provide empirical data, this paper focused on supply chain relationships as the unit of analysis. The sample is selected from the USA employee population with experience in operations management and information technologies.

The findings indicate that ERP systems assist supply chains in reducing the adverse effects of downstream complexity on the efficacy of information sharing within secure systems for creating cyber resilience. Moreover, theoretical development showed that the more complex the supply chains are, the harder it is to create rents.

The findings underscore the importance of implementing cybersecurity frameworks such as ISO 27001, as well as regular training to mitigate threats such as phishing and social engineering. Despite the initial costs, such investments are vital for minimizing potential losses from breaches, which are estimated to cost around $4m on average globally.

This research reveals the social impacts of supply chain cyber resilience through ERP systems, which emphasize the protection of consumer data, job security and public confidence. Cyber resilience and ERP systems help shield against data breaches, preserving privacy, preventing job losses and maintaining trust between people and industrial sectors.

The contribution is to propose the moderated moderating role of ERP in cyber resilience. This paper investigates the interaction effects of ERP and downstream complexity on the relationship between information sharing and cyber resilience. Moreover, this paper develops the relational view to consider the influential impacts of complexity in creating rents.

The purpose of this article is to demonstrate how artificial intelligence contributes to the preservation of the cultural identity of native peoples as well as to reduce the gap in access to verified information in native languages of Peru.

An analysis of the context of artificial intelligence in the field of preservation of native languages was developed. Subsequently, the case of the digital tool Quispe Chequea was highlighted, which uses artificial intelligence to produce journalistic content of verification in three native languages of Peru (Quechua, Aimara and Awajún). Finally, a reflection was made on the contributions of artificial intelligence in reducing the gap in access to information, vindication and preservation of native Peruvian languages.

The findings evidenced the importance of the principles of indigenous data sovereignty to respect cultural rights. Also, it was determined that artificial intelligence contributes to the preservation of cultural values of ethnic groups. It also provides verified information in the native language in order to promote inclusion. Finally, this enabling technology proved to be an important resource in reducing social and cultural gaps.

The use of artificial intelligence will enable the preservation of the native languages of marginalized and ethnic groups. It also favors the dissemination and communication of truthful information in native languages.

This opinion article highlights a little-explored context in the field of native Peruvian languages. It highlights the contribution that artificial intelligence can bring to ethnic groups, especially in the preservation of their languages and the reduction of the information access gap.

In the era of rapid urbanization, fostering an inclusive housing market system for most low-income urban residents remains a challenge in Sub-Saharan African countries. This study aims to investigate the realities of housing markets in Hawassa City, Ethiopia, and interrogate whether these markets foster social inclusion for households at the lower end of the market in the post-1990s.

The study used a mixed research approach. Primary data was generated using household surveys and key-informant interviews administered to residents and officers. The study also reviewed the municipality’s policy documents and reports. Data were analyzed using descriptive statistics and theme-based qualitative interpretation.

Hawassa City exhibited formal and informal housing market patterns guided by national, regional and city-wide policy and regulatory frameworks. Nevertheless, trends in these markets do not seem to capture the realities of residents’ ability to pay for housing and demonstrate social exclusions. The yawning gaps between demand and supply of housing largely necessitated the black market and the subsequent commercialization of housing by visible and invisible actors.

The study suggests further research on ethnographic understanding of the visible and invisible actors operating in the housing markets and adverse impacts on peri-urban farmers. The present study did not address rental housing markets adequately, and this could be open for further research.

The study has implications for revisiting housing policy-making, especially for understanding the policy and practical gaps and thus promoting a socially inclusive housing market system targeting low-income people.

The study provides a comprehensive analysis of housing markets in Hawassa City through the lens of operational values of social inclusivity (Elsinga et al., 2020). The findings provide baseline data on policy and implementation gaps for promoting a socially inclusive housing market system, especially for low-income people. In this regard, the contribution is empirical. In addition, this manuscript renders a conceptual framework for analyzing housing markets in other similar contexts of sub-Saharan Africa.

The purpose of this study is to investigate and develop capabilities to make supply chains resilient using qualitative analysis of fast-moving consumer goods (FMCG) industry located in India. In particular, authors aim to propose a framework to make supply chains resilient by infusing artificial intelligence (AI).

The authors acquired supportive data by conducting semi-structured interviews with 25 FMCG supply chain professionals during 2023. Using open, axial and selective coding approaches, the authors mapped and discovered the themes that constitute the essential elements of AI-enabled supply chain resilience.

The research findings reveal that supply chain capabilities are useful for mitigating the disruptions impact when infused with AI. The authors’ analysis underscore four principal domains in which AI is poised to enhance the resilience of supply chains. This study delves into four key capabilities of interest, namely: Routing Optimization, Efficiency, Periodic Monitoring and Demand Forecasting. The result of this study is the proposed framework which shows the impact of different AI-powered capabilities on supply chain which builds resilient supply chains.

Infusing AI to different supply chain capabilities appears to be a successful way for making FMCG supply chains resilient. Only the supply chain capabilities cannot overcome the impact of disruptions, but the use of AI helps professionals and policymakers to better respond to disruptions.

Few studies demonstrate the impact of advanced technology in building resilient supply chains. To the best of the authors’ knowledge, no earlier researcher has attempted to infuse AI into supply chain capabilities to make them resilient with empirical studies with the theoretical framework of Dynamic Capability View (DCV).

Many firms engage customers using coalition loyalty programs. One unique characteristic of these programs is that one partner’s performance can affect the performance of other partners (cross-partner effect). While previous research discusses cross-partner effects from the program sales perspective, the role of point redemptions in cross-partner effects is unknown to marketers. This study aims to investigate this role and discusses its variations among stores of the same chain and those of different chains.

Using the data of a popular coalition loyalty program, this paper estimates an empirical model that accounts for the dynamics of program sales and point redemptions and the heterogeneity among different partners in the program.

Cross-partner effects are different between point redemption and program sales. In particular, program sales (point redemptions) in other stores of different chains positively (negatively) affect the focal store’s point redemptions. However, point redemptions in other stores of the same chain as the focal store positively affect the focal store’s program sales.

Coalition loyalty programs are becoming popular around the globe. This research investigates the cross-partner effects of coalition loyalty programs. This is of immense value to practitioners and researchers alike.

This research gives marketing managers insights into the workings of coalition loyalty programs.

This research contributes to loyalty program literature in three ways. First, it complements the literature by investigating the role of point redemption in cross-partner effects. Second, it discusses cross-partner effects in the competing stores from the same chain of the focal store and those from different chains. Third, it explores the dynamic effects of program sales and point redemptions at other stores on program sales at the focal store.

The purpose of this study is to explore the integration of risk management and circular economy (CE) principles within the healthcare sector to promote sustainability and resilience. Specifically, the study aims to demonstrate how risk management can support the transition to a circular economy in healthcare supply chains. By integrating risk management practices with CE principles, healthcare organizations can identify potential risks and opportunities associated with circular initiatives.

This study adopts a qualitative research approach, using a case study methodology with semi-structured interviews conducted at primary care facilities to understand the application of CE principles in practice. The study uses fuzzy logic methods to assess and mitigate risks associated with strategies promoting CE principles. Additionally, key performance indicators are identified to evaluate the effectiveness and enhance the resilience of these strategies within healthcare supply chains.

The study highlights the critical role of robust risk management strategies in facilitating the transition to a circular economy within healthcare organizations. Primary care facilities, which are critical to frontline healthcare delivery, are particularly vulnerable to product shortages due to supply risks. This study focuses on critical protective equipment, specifically latex gloves and assesses operational risks, including supply, demand and environmental risks, using a fuzzy logic-based model. Import delays were found to be a moderate risk, typically occurring once a year. The research highlights critical KPIs for a successful CE transition within healthcare supply chains, such as on-time delivery and service quality, which are directly related to the risk of supply chain disruption. In addition, the study highlights the significant impact of other CE strategies on healthcare supply chains, including localized production and manufacturing, innovation in product development, reverse logistics, closed-loop supply chains and the adoption of lean principles.

This study provides valuable insights for healthcare organizations to optimize resource efficiency, reduce waste and promote circularity in their operations. By implementing the proposed solutions and focusing on the identified KPIs, organizations can develop strategies to achieve sustainability goals and enhance resilience in healthcare supply chains.

This study contributes to the literature by demonstrating the application of risk management in facilitating the transition to a circular economy in the healthcare sector. The use of fuzzy logic methodology offers a novel approach to assessing and mitigating risks associated with critical product failures in supply chain activities. The study’s findings provide practical guidance for healthcare organizations seeking to integrate circular economy principles and improve sustainability performance.

The purpose of the study is to investigate the relationship between the big five personality traits and personal financial planning (PFP) by focusing on the mediating role of mental accounting among Indian service sector employees.

The present study used a data set comprising 649 valid responses obtained through the structured questionnaire that was specifically disseminated to employees working in the Indian service sector. Further, the study used a quantitative approach, partial least squares structural equation modeling, to examine the hypothesized relationship.

The study’s outcomes reveal that mental accounting completely mediates the relationship between conscientiousness and PFP. In addition, extraversion and neuroticism traits have directly influenced the PFP, but in the presence of mental accounting, these traits have partially influenced the PFP. Furthermore, the results suggest that agreeableness directly affects PFP, whereas openness does not demonstrate any significant influence.

The existing literature within the field of PFP has primarily focused on exploring various variables associated with mental accounting, such as monetary and time costs, mental budgeting process and tax liabilities. However, it has overlooked the potential mediating effect of mental accounting. This study bridges this gap by investigating the impact of mental accounting as a mediator in the relationship between personality traits and PFP. Moreover, recently, the Indian economy has undergone major overhauls especially due to enactment of Goods and Services Tax and the profound impact of COVID-19, leading to changes in financial behavior of individuals. Therefore, this study endeavors to shed light on the emerging dynamics within the PFP domain, particularly within the context of the newly accustomed economic circumstances in India.