Search results

Medical equipment’s supply chains play a vital role in performance of national 1healthcare systems. This supply chain is confronted with different internal and external risks. The purpose of this study is to investigate and find the key factors affecting the resilience of the supply chain of medical equipment and to examine the dynamic relations among these factors.

A hybrid methodology is used for meeting the purpose of this study. First, the Delphi method is extended by using hesitant fuzzy linguistic term sets to identify the key factors of supply chain resilience. At the second phase, using the system dynamic methodology, the dynamic relations among identified resilience factors are analyzed.

Using the Delphi method, agility, collaboration among actors, sharing of information, trust among actors, explicitness of supply chain, risk management culture, adaptability, structure, funding and environment conditions are identified as ten major factors affecting medical equipment’s supply chain resilience. Also, four scenarios are simulated along with their impacts on the system.

The main contribution of this study is extending a hesitant fuzzy linguistic term sets-based Delphi and applying it along a system dynamic analysis to identify the key factors affecting resilience of medical equipment’s supply chain for the first time.

This paper aims to investigate the influence of supply and demand competence on supply chain (SC) resilience and its impact on a firm’s operational and relational performance. While the former competence refers to production and supply management-related activities, the latter refers to distribution and demand management-related activities. Within this framework, process compliance, i.e. how well SC management processes are internally executed by the firm’s employees, is observed as an enabler (moderator) on the relationship between SC competence and SC resilience. Further the model also explores the moderating influence of environmental uncertainty (EU) on the linkage between SC resilience and firm performance.

Data were collected through a Web-based cross-sectional survey from SC professionals working in different industries at various designations. Further, the collected data were analyzed using partial least squares for hypotheses’ testing.

The findings suggest a positive influence of demand- and supply-side competences on SC resilience. Supply chain resilience was also found to have a positive influence on operational and relational performance. Further, process compliance was found to positively moderate the relationship between the competences and resilience. Lastly, the relationship between resilience and performance was found to gain momentum in the presence of EU.

Data were collected from a single respondent per firm. Hence, future research should attempt to collect data from multiple respondents for increased generalization.

The study holds significance for academicians and practitioners, as it investigates the importance of supply- and demand-side competences on the development of SC resilience and its impact on performance. This investigation showed that building resilience in a SC is dependent on the degree to which firms are process-compliant. Further, it was empirically proved that resilience’s positive influence on performance increases more with the presence of uncertainties.

This study aims to identify critical capabilities to address unforeseen and novel disruptions, such as those instigated by COVID-19, and explore their role as essential enablers of supply chain resilience and responsiveness, leading to improved performance.

The structural equation modeling technique was employed for analyzing the proposed associations using survey data from 206 manufacturers operating during the COVID-19 pandemic in a developing country, Pakistan.

Key findings show how improvisation and anticipation act distinctly yet jointly to facilitate supply chain resilience and responsiveness during the COVID-19 pandemic. Also, data analytics capability positively affects anticipation and improvisation, which mediate the effect of data analytics on supply chain resilience and responsiveness.

The findings contribute to the theoretical and empirical understanding of the existing literature, suggesting that a combination of improvisation, anticipation and data analytics capabilities is highly imperative for enhancing supply chain resilience and responsiveness in novel and unexpected disruptions.

This is the first study to examine the impact of data analytics on improvisation and anticipation and the latter as complementary capabilities to enhance supply chain resilience and responsiveness. The empirical investigation explores the interplay among data analytics, improvisation, and anticipation capabilities for enhancing supply chain resilience, responsiveness, and performance during the unforeseen and novel disruptions, such as brought to bear by the COVID-19 pandemic.

The aim of this paper is to understand how resilience builds to achieve a management model for sustainable resilience, as advocated by sustainable development goals (SDGs), in distressed communities. The topic is addressed with the case of Macerata, an Italian city located at the epicentre of the devastating earthquake in 1997 and later, in a short time interval between August 2016 and January 2017. Necessary knowledge on modes and places of engagement and collaboration is delivered in the attempt to demonstrate that social and cultural factors have stronger impacts on devastated communities as they contribute to resilience for future incidents.

The paper uses a quantitative econometric approach. It unfolds in two steps. The first uses the estimation method through factor analysis of an index of resilience, a latent variable, and reveals that it comes from social, cultural, political and economic latent factors. The second uses a reduced equation model that elaborates and integrates two models: the one estimating the relationship between the level of development and the impacts due to natural disasters and the other containing the index of resilience, but only its most relevant ones. A rotated component matrix, which is the elaboration of the model, will be created.

Although measuring resilience, in practice, is hampered by both conceptual and methodological challenges, including finding reliable and meaningful data, the attempt to measure resilience in this research has helped in testifying two important research hypotheses. According to H1, resilience is a fundamental variable to ensure faster economic recovery and has a negative impact on the dependent variable (deaths); hence, it is considered statistically significant. According to H2, social resilience develops and increases at the event’s recurrence and leverages on the adaptive, self-organising community capacities in recovering from traumatic circumstances and episodes of distress.

The limitation of this paper is that the comparison between the two earthquakes is biased by the interviewees’ misleading responses on the provided questionnaires due to lack of memory about the 1997 shock and a more higher perception of the latest quakes that occurred recently in 2016 and 2017. There is a strong awareness of the fact that future research will improve the analysis suggested in this paper by attempting a quantification of the perception about the difference between the two occurred earthquakes by replacing the dummy variable (β₆ improvement) with a cluster analysis.

The paper fills the gap in the empirical literature on risk management and organisational resilience. This research represents a guide to support and accelerate building resilience by people engagement and empowerment, enthusiasm and commitment in a way that conventional politics is failing to do. In particular, it aims to support public organisations and policymakers at the front by providing them with reliable information on the factors and concerns that need to be considered to increase community’s level of resilience, coherently with their endogenous characteristics, to ensure a steady, stable and sustainable recovery from the crisis.

This research teaches that resilience depends on the existence of minimum preconditions for building resilience – political and economic opportunities, as well as cultural and social factors – as the measurement of tangible factors such as assets and financial capital may not capture everything that influences resilience. However, although it is common sense that disaster recovery processes are significantly hard to bear, it is important to acknowledge that they can offer a series of unique and valuable opportunities to improve on the status quo. Capitalizing on these opportunities means to well-equip communities to advance long-term health, resilience and sustainability and prepare them for future challenges.

This paper contributes to the discussion over the development of sustainable cities and communities by providing a resilience measurement framework in terms of indicators and dimensions of resilience. It emphasises on the endogenous adaptation capacity of territories partially analysed in the empirical literature with regard to resilience. The originality relates to the suggested model being a tool for social and territorial analysis, useful for ensuring a summary and comprehensive assessment of socioeconomic resilience; comparing different timelines (the first earthquake occurred in 1997 and the other two, occurring in a short time interval from one another, in August 2016 and January 2017).

The purpose of this research is to provide a critical review of the intellectual capital (IC) research in hospitality and tourism (HT) literature.

This study uses 141 research papers published on IC in HT between 2003 and 2021 to offer the findings of a systematic review of publications that cover the issue of IC as a holistic concept, rather than just a component of it, within the sector.

The progress on the topic is addressed. The authors' findings also reveal the related research productivity, main themes compared to other service sectors and methodologies applied in the knowledge field. In order to provide a tangible structure in the field, a research agenda is offered.

This study analyzed the development of IC research in the HT literature by focusing on journal articles in the Scopus database. The findings could aid researchers in (re)designing their study goals so they may add to both general IC literature and literature related to HT.

A strong positive relationship between IC and HT organizations’ performance has been demonstrated, but no study has previously mapped the research constituents of publications in IC research. To contribute to the endeavor of knowledge consolidation on this subject, the authors' paper covers the research that has been done so far on the under-researched issue of IC in HT from a new perspective.

The purpose of this paper is to examine the impact of two typical relationship management approaches (trust relationship with suppliers and reciprocity) on manufacturer resilience in the context of the COVID-19 crisis. Moreover, this paper aims to deepen the understanding of environmental uncertainty's moderating effect on the association between the trust relationship with suppliers (TRS) and reciprocity.

Structural equation modeling has been used to test the hypotheses on 361 Chinese manufacturing firms' managers and independent directors during the COVID-19 crisis.

The results reveal that reciprocity positively enhances three dimensions of manufacturer resilience, namely, preparedness, responsiveness and recovery capability. Reciprocity positively mediates the relationships between TRS and preparedness, responsiveness and recovery capability. Moreover, environmental uncertainty moderates the association between TRS and reciprocity.

This study highlights the critical role of reciprocity, the relational governance approach, in enhancing manufacturer resilience in practice. This paper suggests that during emergencies such as the COVID-19 pandemic, managers should adopt trust and reciprocity in supplier relationship governance to strengthen the resilience of manufacturing companies and adapt effective strategies according to the environment.

This study is unique in developing new scales of manufacturer resilience through interviews and surveys with Chinese manufacturers and theoretical research. Based on the social capital theory and social exchange theory, this study shed light on the role of trust and reciprocity. It also bridges relational governance theory with the literature on manufacturing firm resilience literature to help manufacturers better understand the transdisciplinary links between relationship management and resilient operations in emergencies.

Despite the wide research and discussion on international performance, innovation and digital resilience dimensions of enterprises, the investigation and understanding of their interrelations seem to be limited. The purpose of this study is to identify the influential factors affecting the mentioned dimensions, determine the causal relationships among these identified factors and finally evaluate their importance in an aggregated framework from the viewpoint of small and medium-sized enterprises (SMEs).

A hybrid methodology is used to achieve the objectives. First, the main factors of international performance, innovation and digital resilience are extracted by an in-depth review of the literature. These factors are then screened by expert opinions to localize them in accordance with the conditions of an emerging economy. Finally, the relationship and the importance of the factors are determined using an uncertain multi-criteria decision-making (MCDM) approach.

The findings reveal that there is a correlation between digital resilience and innovation, and both factors have an impact on the international performance of SMEs. The cause-or-effect nature of the factors belonging to each dimension is also determined. Among the effect factors, business model innovation (BMI), agility, product and organizational innovation are known as the most important factors. International knowledge, personal drivers and digital transformation are also determined to be the most important cause factors.

This study extends the literature both in methodological and practical directions. Practically, the study aggregates the factors in the mentioned dimensions and provides insights into their cause-and-effect interrelations. Methodologically, the study proposes an uncertain MCDM approach that has been rarely used in previous studies in this field.

In the emerging disciplines of risk management and supply chain management, resilience is a relatively undefined concept. The purpose of this paper is to present an integrated perspective on resilience through an extensive review of the literature in a number of disciplines including developmental psychology and ecosystems. In addition, the paper identifies and addresses some of the current theoretical gaps in the existing research.

Supply chain resilience has been defined by a number of disciplines. An integrative literature review is conducted in an attempt to integrate existing perspectives. This review also serves as the basis for the development of a conceptual model.

The key elements of supply chain resilience and the relationships among them, the links between risks and implications for supply chain management, and the methodologies for managing these key issues are poorly understood. Implications for future research advocate testing the proposed model empirically.

Supply chain disruptions have adverse effect on both revenue and costs. Resilient supply chains incorporate event readiness, are capable of providing an efficient response, and often are capable of recovering to their original state or even better post the disruptive event.

Supply chain resilience has yet to be researched from the logistics perspective. Even in well‐developed disciplines the unified theory of resilience is still under development. This research leverages existing knowledge and advances an interdisciplinary understanding of the concept.

Knowledge management can play a vital role through ensuring the availability and accessibility of accurate and reliable disaster risk information when required and through effective lesson learning. Identification of key disaster knowledge factors will be an enabler to manage disasters successfully. The purpose of this paper is to present key knowledge factors relating to disaster management cycle, and explore a few challenges relating to identified disaster knowledge factors.

A list of disaster knowledge factors was first identified through a comprehensive literature review and later semi‐structured interviews were conducted among few disaster management practitioners to explore the influence and challenges relating to identified knowledge factors.

Technological, operational/managerial, economic, social, legal and environmental factors seem to have direct influence over the disaster management cycle, while the influence of institutional and political factors seemed indirect and it is through other factors identified. Among key challenges, the lack of detection and warning systems, the need for effective education, training and awareness raising programmes, the need for regular updating of disaster related laws, lack of funds for economic planning measures, poor planning, poor communication, poor leadership, and poor institutional arrangement were highlighted.

Owing to paucity of literature and inadequate empirical research done, this paper provides the basis for more empirical research on disaster knowledge factors and sharing of lessons learned. In order to enhance the management of disasters in future, challenges identified need to be addressed.

Support from managers that enables employee growth promotes adaptation to changing and complex job challenges. Guided by social exchange theory, this study aims to establish growth-oriented management (GOM) as a key management capability to support employee growth. It also identifies employee resilience as a mechanism for growth in employees and examines its role in mediating the relationships between GOM and key employee outcomes: well-being and work engagement.

This study draws on survey data (n = 751) from white-collar employees in Australia. Structural equation modeling (SEM) was used to estimate the fit of the hypothesized model to the data. Confirmatory factor analysis was also performed to examine convergent and discriminant validity of the study variables.

Findings show GOM influenced well-being and work engagement, both directly and indirectly through employee resilience. This reveals more broadly that the unique combination of behaviors that comprise GOM plays a pivotal role in supporting growth-oriented outcomes in employees.

This is the first empirical study on the impact of GOM on well-being and engagement, as well as on the mediating mechanism of employee resilience in these relationships. GOM is an innovative contribution to scholarship on employee and organizational development, reflecting the changing nature of management, and responding to the increasingly diverse development needs of employees.