Modelling the readiness factors for agility in healthcare organization: a TISM approach

The impact of digital transformational leadership on digital intensity among primary healthcare entities: a moderated mediation model

BACKGROUND

Uncertain times require healthcare entities to demonstrate strong leadership, develop digitalisation, and respond to change in a creative and flexible manner. Based on emerging new institutional theory, we developed and tested a model of how digital transformational leadership (DTL) affects digital intensity (DI) among healthcare entities through the mediating role of organisational agility (OA). In this article, we also examine the moderating role of the country in the studied relationship.

METHODS

The study population consisted of 400 managers of primary healthcare entities from Poland and the Netherlands. Data was collected using a questionnaire method with a seven-point Likert scale. The gathered data was analysed using descriptive statistics and structural equation modelling (SEM). The analysis was performed using the statistical package SPSS with Andrew F. Hayes PROCESS macro and AMOS v. 29 (Predictive Solution, Poland).

RESULTS

The results of structural equation modelling (SEM) revealed that DTL directly and indirectly affects DI, and OA mediates this relationship. Moreover, this indirect effect is moderated by a country.

CONCLUSION

This study contributes to the development of DI and offers practical insights for managers of primary healthcare entities navigating the uncertainty and volatility of the post-pandemic market. Ultimately, this work provides important insights into the leadership style and agility of healthcare organizations in relation to digital transformation, considering the healthcare system's role.

Readiness of big health data analytics by technology-organization-environment (TOE) framework in Ethiopian health sectors

Background

Big health data is a large and complex dataset that the health sector has collected and stored continuously to generate healthcare evidence for intervening the future healthcare uncertainty. However, data use for decision-making practices has been significantly low in developing countries, especially in Ethiopia. Hence, it is critical to ascertain which elements influence the health sector's decision to adopt big health data analytics in health sectors. The aim of this study was to identify the level of readiness for big health data analytics and its associated factors in healthcare sectors.

Methods

A cross-sectional study design was conducted among 845 target employees using the structural equation modeling approach by using technological, organizational, and environmental (TOE) frameworks. The target population of the study was health sector managers, directors, team leaders, healthcare planning officers, ICT/IT managers, and health professionals. For data analysis, exploratory factor analysis using SPSS 20.0 and structural equation modeling using AMOS software were used.

Result

58.85 % of the study participants had big health data analytics readiness. Complexity (CX), Top management support (TMS), training (TR) and government law policies and legislation (GLAL) and government IT policies (GITP) had positive direct effect, compatibility (CT), and optimism (OP) had negative direct effect on BD readiness (BDR).

Conclusion

The technological, organizational, and environmental factors significantly contributed to big health data readiness in the healthcare sector. The Complexity, compatibility, optimism, Top management support, training (TR) and government law and IT policies (GITP) had effect on big health data analytics readiness. Formulating efficient reform in healthcare sectors, especially for evidence-based decision-making and jointly working with stakeholders will be more relevant for effective implementation of big health data analytics in healthcare sectors.

Factors influencing the organisational homeostasis in healthcare organisations

PURPOSE

The purpose of this study is to identify organisational homeostasis factors in the context of healthcare organisations and to develop a conceptual model for green transformation.

DESIGN/METHODOLOGY/APPROACH

The organisational homeostasis factors were determined by review of literature study and the opinions of healthcare experts. Scheduled interviews and closed-ended questionnaires are employed to collect data for this research. This study employed "TISM methodology" and "MICMAC analysis" to better comprehend how the components interact with one another and prioritise them based on their driving and dependence power.

FINDINGS

This study identified 10 factors of organisational homeostasis in healthcare organisation. Recognition of interdependence, hormesis, strategic coalignment, consciousness on dependence of healthcare resources and cybernetic principle of regulations are the driving or key factors of this study.

RESEARCH LIMITATIONS/IMPLICATIONS

The study's primary focus was on the organisational homeostasis factors in healthcare organisations. The methodological approach and structural model are used in a healthcare organisation; in the future, these approaches can be applied to other industries as well.

PRACTICAL IMPLICATIONS

The key drivers of organisational homeostasis and the identified factors will be better comprehended and understood by academic and important stakeholders in healthcare organisations. Prioritizing the factors helps the policymakers to comprehend the organisational homeostasis for green transformation in healthcare.

ORIGINALITY/VALUE

In this study, the TISM and MICMAC analysis for healthcare is proposed as an innovative approach to address the organisational homeostasis concept in the context of green transformation in healthcare organisations.

Integrating one-to-one peer support into psycho-oncological care in Germany: multi-perspective, mixed-methods evaluation of the isPO onco-guide service

PURPOSE

One-to-one peer supporters called isPO onco-guides (isPO OGs) are an integral part of the new German psycho-oncological form of care 'integrated, cross-sectoral Psycho-Oncology' (isPO), additionally to professional care. The isPO OGs are cancer survivors with experiential knowledge, offering information on local support services and answering questions 'all around cancer' to newly diagnosed cancer patients. We aimed to evaluate the isPO OG service from three perspectives: patients, isPO OGs, and professional service providers.

METHODS

A mixed-methods approach was pursued. We conducted interviews and focus groups with the three person groups, and applied qualitative content analysis on the reported resources, processes and outcomes regarding the isPO OG service. Relations with patients' utilisation and isPO OGs' work satisfaction were identified with regression and correlation analyses of questionnaire and isPO care data. We compared isPO care networks (CN) with X2-tests or ANOVA. Qualitative and quantitative results were integrated during interpretation phase.

RESULTS

Qualitatively, the three person groups agreed on the benefits of the isPO OG service. The implementation's maturity differed between the CN concerning established processes and resource availability. Attitudes of professional service providers appeared to be crucial for patients' utilisation of the isPO OG service. Quantitative results emphasised the differences between the CN.

CONCLUSION

Beyond differences in the CN, the isPO OG service has two psychosocial benefits: providing relevant, reliable, and understandable information; and offering the encouraging example that surviving and living with cancer is possible.

TRIAL REGISTRATION

The study was registered in the German Clinical Trials Register (No. DRKS00015326) on 30.10.2018.

A management perspective on resilience in healthcare: a framework and avenues for future research

Recent major health shocks, such as the 2014-16 Ebola, the Zika outbreak, and, last but not least, the COVID-19 pandemic, have strongly contributed to drawing attention to the issue of resilience in the healthcare domain. Nevertheless, the scientific literature appears fragmented, creating difficulties in developing incremental research in this relevant managerial field.To fill this gap, this systematic literature review aims to provide a clear state of the art of the literature dealing with resilience in healthcare. Specifically, from the analysis of the theoretical articles and reviews, the key dimensions of resilience are identified, and a novel classification framework is proposed. The classification framework is then used to systematize extant empirical contributions. Two main dimensions of resilience are identified: the approach to resilience (reactive vs. proactive) and the type of crisis to deal with (acute shocks vs. chronic stressors). Four main streams of research are thus identified: (i) proactive approaches to acute shocks; (ii) proactive approaches to chronic stressors; (iii) reactive approaches to acute shocks; and (iv) reactive approaches to chronic stressors. These are scrutinised considering three additional dimensions: the level of analysis, the resources to nurture resilience, and the country context. The classification framework and the associated mapping contribute to systematising the fragmented literature on resilience in healthcare, providing a clear picture of the state of the art in this field and drawing a research agenda that opens interesting paths for future research.

Agility adaptability and alignment in start-ups

Purpose

When coping with uncertainties, three characteristics distinguish firms: agility, adaptability and alignment (triple-A). Based on significant field research, the triple-A highlights the significance of coordinating agility, adaptability and alignment. Start-ups are facing a lot of challenges in this turbulent environment. However, this sector is undergoing a major transformation. Agility, adaptability and alignment concepts have had a major influence on the supply chain, but their implementation in start-ups has been less visible. This paper aims to identify, analyze and categorize the enablers for agility, adaptability and alignment in start-ups using the total interpretive structural modeling (TISM) approach.

Design/methodology/approach

In addition to the scheduled interview, a closed-ended questionnaire was used to collect data. To identify how the factors interact, the TISM technique is used, and the Matriced’Impacts Croises-Multipication Applique’ and Classment method is used to rank and categorize the agility, adaptability and alignment enablers.

Findings

This study identified ten agility, adaptability and alignment factors for start-ups. It has been found that the key importance should be given to management involvement, conflict management, collaboration and information integration.

Research limitations/implications

This study primarily focused on the agility, adaptability and alignment factors in start-ups.

Practical implications

This study will help academics and key stakeholders understand the aspects that lead to agility, adaptability and alignment in start-ups.

Originality/value

Agility, adaptability and alignment concepts have had a major influence on the supply chain, but their implementation in start-ups has been less visible. Therefore, this is a novel attempt in this industry’s agility, adaptability and alignment.

The Role of Optimism and Agility towards Readiness to Change in Implementing Merdeka Belajar Kampus Merdeka

Freedom to study in an independent campus is a program of the Minister of Education and Culture in 2020. Learning activities at the Merdeka Campus are a manifestation of essential student-centered learning. This study aims to determine the role of optimism and agility on readiness to change in implementing independent learning at an independent campus. Respondents of this study were the lecturers at Buana Perjuangan Karawang University s many as 190 lecturers. The scale used in this study consists of a scale of readiness to change, optimism and agility. Hypothesis testing using multiple linear regression, found that optimism and agility had a positive role in readiness to change (p < 0.05). This shows that the higher the attitude of optimism and agility will increase the readiness to change in lecturers at Buana Perjuangan Karawang University. These findings can be taken into consideration in making measures to increase readiness to change by applying an attitude of optimism and agility to work on lecturers

Modeling of factors affecting supplier selection on start-ups during frequent pandemic episodes like COVID-19

Purpose

In developing countries such as India, start-ups play an essential role in “industrial output,” “Gross Domestic Product ” and “employment creation.” Evidence suggests that pandemics have risen over the last century due to rising global travel and assimilation, urbanization, alterations in land use, and significantly larger exploitation of the natural environment. These trends are likely to continue and intensify. These pandemic episodes affect businesses, especially start-ups. Supplier selection is among the vital critical elements that start-ups must include in start-ups' strategy procedures during the pandemic episodes. This study's focus is to “identify,” “analyze,” and “categorize” the factors affecting supplier selection in start-ups during frequent pandemic episodes like coronavirus disease 2019 (COVID-19).

Design/methodology/approach

Through “literature review” and “experts' opinion” from various start-ups in India, ten affecting factors were identified. Total Interpretative Structural Modeling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) were employed to analyze the interrelationship among the factors affecting the supplier selection on start-ups during frequent pandemic episodes, and these factors were ranked as “autonomous,” “independent,” “linkage,” and “dependent” factors.

Findings

The findings show that “performance history,” “service levels,” “technical capability,” and “financial stability” are the most critical factors affecting the supplier selection on start-ups during frequent pandemic episodes. The next importance should be safety and environmental concern” and “quality.”

Research limitations/implications

The factors affecting supplier selection on start-ups during frequent pandemic episodes are the current focus of this study. This study is mainly performed on Indian start-ups and can be extended to other countries.

Practical implications

The start-ups can rely on this study to clearly understand the factors affecting the supplier selection on start-ups during frequent pandemic episodes.

Originality/value

There is no research regarding factors affecting supplier selection on start-ups during the COVID-19 emergencies. This research gap is filled by analyzing aspects linked to supplier selection in start-ups. This gap inspired the present study, which employs the “Total Interpretive Structural Modeling (TISM)” technique to uncover supplier selection determinants and investigate hierarchical interconnections among factors influencing/affecting supplier selection in start-ups during frequent pandemic episodes.

Factors affecting repurposing operations in Micro Small and Medium Enterprises during Covid-19 emergency

Micro, Small and Medium Enterprises (MSME) sector plays a substantial role in the overall economic development and employment generation of a country. The Covid-19 pandemic has impacted adversely, and it is inevitably necessary to consider the influence of the pandemic on MSME, which will assist the policymakers in helping in the repurposing operations of the sector. Because of its size, scale of operations, and availability of financial resources, the MSMEs sector has been one of the most susceptible sectors post-Covid-19. Many academics have explored the constraints to MSMEs' development in the past, but limited research has been done using Total Interpretive Structural Modelling (TISM) technique for the factors impacting MSMEs' repurposing operations during the Covid-19 emergency. This research seeks to "identify," "analyze," and "categorize" the elements impacting MSMEs' repurposing operations during the Covid-19 pandemic. Literature review and experts’ comment from various MSMEs resulted in identification of 7 enablers. The TISM and MICMAC approach was employed in this study. The findings shows that occupational health and safety, logistics, and government rules and regulations are the key factors affecting repurposing operations in MSMEs during the Covid-19 emergency. This research helps the top-executives of MSME to look into the factors affecting repurposing operations in MSMEs during the Covid-19 emergency. This research examines factors affecting repurposing operations in MSMEs during the Covid-19 emergency. It is the first study to analyze the factors affecting the repurposing operations in MSME during the Covid-19 using TISM technique.

Analysis of critical success factors for blockchain technology implementation in healthcare sector

Purpose

Recently, blockchain technology (BT) has resolved healthcare data management challenges. It helps healthcare providers automate medical records and mining to aid in data sharing and making more accurate diagnoses. This paper attempts to identify the critical success factors (CSFs) for successfully implementing BT in healthcare.

Design/methodology/approach

The paper is methodologically structured in four phases. The first phase leads to identifying success factors by reviewing the extant literature. In the second phase, expert opinions were solicited to authenticate the critical success factors required to implement BT in the healthcare sector. Decision Making Trial and Evaluation Laboratory (DEMATEL) method was employed to find the cause-and-effect relationship among the third phase’s critical success factors. In phase 4, the authors resort to validating the final results and findings.

Findings

Based on the analysis, 21 CSFs were identified and grouped under six dimensions. After applying the DEMATEL technique, nine factors belong to the causal group, and the remaining 12 factors fall under the effect group. The top three influencing factors of blockchain technology implementation in the healthcare ecosystem are data transparency, track and traceability and government support, whereas; implementation cost was the least influential.

Originality/value

This study provides a roadmap and may facilitate healthcare professionals to overcome contemporary challenges with the help of BT.

Modelling the resilience of start-ups during COVID-19 pandemic

Purpose

Resilience, the ability of start-ups to deal with anticipated instabilities and probable disruptions, is becoming an important success element during coronavirus disease 2019 (Covid-19). To survive in this pandemic situation, resilience is an important concept for start-ups. The present paper aims to “identify”, “analyse” and “categorize” the resilience factors for start-ups during the Covid-19 pandemic using total interpretive structural modelling (TISM).

Design/methodology/approach

The resilience elements of start-ups during Covid-19 were identified and shortlisted during the first phase, which included literature analysis and extensive interaction with experts. TISM was used in the second phase to investigate or to determine how the factors interplayed between the resilience factors of start-ups during Covid-19. The Matrice d'impacts Croises Multiplication Appliquee a un Classment (MICMAC) method is used to rank and categorize the factors. Closed-ended questionnaire with the scheduled interview was conducted to collect the data.

Findings

The first part of the study found ten resilience elements in total. The TISM digraph was constructed in the second step to show why one resilience component led to another. The MICMAC analysis divided these factors into four groups: autonomous, linkage, dependent and independent. These groups represented resilience variables based on their driving and dependent power, which assist executives and managers in proactively addressing them while using the TISM digraph as a guide.

Research limitations/implications

During the Covid-19 epidemic, this study focused primarily on resilience characteristics for Indian start-ups.

Practical implications

This study will help key stakeholders and scholars to better understand the elements that contribute to start-up's resilience.

Originality/value

The TISM method for start-up's resilience is suggested in this paper, which is a novel attempt in the field of resilience in this industry.

COVID-19 experience in Morocco: Modelling the agile capabilities of Moroccan Clinics

The COVID-19 pandemic posed multiple challenges to the healthcare sector. To be a leader under this crisis, healthcare organizations need to be agile in order to face the various challenges of the pandemic, as the treatment of COVID-19 patients, equipping hospitals with medical and protective equipment, strengthen epidemiological monitoring. Acknowledging the importance of this concept, many healthcare organizations have implemented agility on their health care system. In this context, this study uses total interpretive structural modeling (TISM) for two purposes. First, it models the agile capabilities of a Moroccan healthcare organization in a hierarchical form by differentiating between the driving capabilities and the dependent ones. Second, it interprets the interrelationship among them and ranks the capabilities based on their influence on agility. Through a literature review, different capabilities of organization agility have been identified followed by a questionnaire circulated among different healthcare professionals. Results indicate the most agile capabilities that bring agility in the healthcare organizations in order to address those challenges caused by the COVID-19 crisis.

A study on the influential factors of the last mile delivery projects during Covid-19 era

The Covid-19 has shifted the face of many markets including e-commerce and online business with many bottlenecks to be cleared. The last-mile delivery project has the greatest effect on all types of e-commerce companies because it has many consumer touchpoints as well as the Covid-19 pain points. Due to these interconnected issues, the delivery projects itself requires modern solutions. The purpose of this paper is to identify, analyse and categorize the major factors that affect the last mile delivery projects in e-commerce, food sector, retail sector and so on using total ınterpretive structural modelling approach during the Covid-19. Ten major factors are identified from literature review, and expert opinions are collected from multiple organizations that are involved in the last mile delivery projects. The results indicate that types of goods, achieving routing efficiency and meeting fulfilment timeline are the key factors for last mile delivery projects during the time of Covid-19. This study helps the managers to identify the key factors and to focus on these factors for the successful implementation of last mile delivery project.

S, P.K. V, Mahapatra SK, Kottayil SK. Industrial energy behaviour model: an analysis using the TISM approach

Purpose

In the realm of energy behaviour studies, very little research has been done to understand industrial energy behaviour (IEB) that influences the willingness to adopt (WTA) energy-efficient measures. Most of the studies on energy behaviour were focused on the residential and commercial sectors where the behaviour under investigation was under volitional control, that is, where people believe that they can execute the behaviour whenever they are willing to do so. The purpose of this paper is to examine the factors influencing the industry’s intentions and behaviour that leads to enhanced adoption of energy efficiency measures recommended through energy audits. In particular, this paper aims to extend the existing behaviour intention models using the total interpretive structural modelling (TISM) method and expert feedback to develop an IEB model

Design/methodology/approach

TISM technique was used to determine the relationship between different elements of the behaviour. Responses were collected from experts in the field of energy efficiency to understand the relationship between identified factors, their driving power and dependency.

Findings

The results show that values, socialisation and leadership of individuals are the key driving factors in deciding the individual energy behaviour. WTA energy-saving measures recommended by an energy auditor are found to be highly dependent on the organisational policies such as energy policy, delegation of power to energy manager and life cycle cost evaluation in purchase policy.

Research limitations/implications

This study has a few limitations that warrant consideration in future research. First, the data came from a small sample of energy experts based on a convenience sample of Indian experts. This limits the generalizability of the results. Individual and organizational behaviour analysed in this study looked into a few select characteristics, derived from the literature review and expert feedback, which may pose questions about the standard for behaviours in different industries.

Practical implications

Reasons for non-adoption of energy audit recommendations are rarely shared by the industries and the analysis of individual and organisational behaviour through structured questionnaire and surveys have serious limitations. Under this circumstance, collecting expert feedback and using the TISM method to build an IEB model can help to build strategies to enhance the adoption of energy-efficient measures.

Social implications

Various policy level interventions and regulatory measures in the energy field, adopted across the globe, are found unsuccessful in narrowing the energy-efficiency gap, reducing the greenhouse gas (GHG) emissions and global warming. Understanding the key driving factors can help develop effective intervention strategies to improve energy efficiency and reduce GHG emissions.

Originality/value

The industry energy behaviour model with driving, linking and dependent factors and factor hierarchy is a novel contribution to the theory of organisational behaviour. The model takes into consideration both the individual and organisational factors where the decision-making is not strictly under volitional control. Understanding the key driving factor of behaviour can help design an effective intervention strategy that addresses the barriers to energy efficiency improvement. The results imply that it is important to carry out post energy audit studies to understand the implementation rate of recommendations and also the individual and organisational factors that influence the WTA energy-saving measures.

Modeling resilient factors of the supply chain

Purpose

This paper aims to study the concept, characteristics and factors of the resilient supply chain (RSC) and develop a hierarchical structural model and classify the factors based on their interrelationships.

Design/methodology/approach

This paper has used a mixed-approach of literature review and expert opinion to identify the factors of RSC. For the development of the structural model and clustering of the factors, this paper has used the total interpretive structural modeling approach with Matrice d’Impacts Croises-Multiplication Applique and Classment and decision-making trial and evaluation laboratory analysis.

Findings

In total, this study has identified 17 factors that enable the 3R capability of the RSC. The result shows that the factors have a close dependence relationship with supply chain (SC) risk management culture as the most influencing factor. Further, this study classifies the factors into enablers and strategies.

Research limitations/implications

This research work is the theoretical contribution to the RSC concept and helps the experts to develop and improve the resilient ability in the SC. This research is based entirely on subjective expert feedback; thus, the results are sensitive to the expert’s judgment.

Practical implications

This research will help the decision-makers in allocating the resources and policies to develop or improve the SC capabilities.

Originality/value

This research work is the first kind of research in the field of the RSC that considers the 3R concept to identify and model the resilient factors of the SC. Along with the theoretical concept, this research provides empirical evidence for the importance ranking of the factors.

Modelling enablers of efficiency and sustainability of healthcare: a m-TISM approach

Purpose

It would not be an exaggeration to say that healthcare is the most crucial one in today's perspective. The healthcare sector, in general, is engaged in working on various dimensions simultaneously like the safety, care, quality and cost of services, etc. Still, the desired outcomes from this sector are far away, and it becomes pertinent to address all such issues associated with healthcare on a priority basis for sustaining the outcomes in a long-term perspective. The present study aims to explore the healthcare sector and list out the directly associated enablers contributing to increasing the viability of the healthcare sector. Besides, the interrelationship among the enlisted enablers needs to be studied, which further helps in setting-out the priority to deal with individual enablers based on their impedance in the contribution towards viability increment.

Design/methodology/approach

The authors have done an extensive review to list out the enablers of the healthcare sector to perform efficiently and effectively. Further, the attempt has been made on the enablers to rank them by using the modified Total Interpretative Structure Modelling (m-TISM) approach. The validation of the study reveals the importance of enablers based on their position in the hierarchical structure. Further, the MICMAC analysis on the identified enabler is performed to categorize the identified enablers in the different clusters based on their driving power and dependence.

Findings

The research tries to envisage the importance of the healthcare sector and its contribution towards national development. The outcomes of the m-TISM model in the present study reveal the noteworthy contribution of the organizational structure in managing the healthcare facilities and represented it as the perspective of future growth. The well-designed organizational structure in the healthcare industry helps in establishing better employee–employer cooperation, workforce coordination and inter-department cooperation.

Research limitations/implications

Every research work has limitations. Likewise, the present research work also has limitations, i.e. input taken for developing the models are from very few experts that may not reflect the opinion of the whole sector.

Practical implications

The healthcare sector is the growing sector in the present-day scenario, and it is essential to keep the quality of treatment in check along with the quantity. The present study has laid down the practical foundations for improvement in the healthcare sector viability. Besides, the study emphasized on accountability of the healthcare sector officials to go with the enablers having the strong driving power for effective utilization of all the resources. This would further help them in customer (patients) satisfaction.

Originality/value

Despite an increase in demand for good quality healthcare facilities worldwide, the growth of this sector is bounded by the economic, demographic, cultural and environmental concerns, etc. The present study proposed a unique framework that provides a better understanding of the enablers. It would further help in playing a key role in increasing the viability of the healthcare sector. The hierarchy developed with the help of m-TISM and MICMAC analysis will help the viewers to recognize the important enablers based on their contribution to the viability improvement of the healthcare sector.

Analyzing the operational barriers of government-supported healthcare supply chain

Purpose

The purpose of this study is to develop a methodology for the identification, categorization and prioritization of operational government-supported healthcare supply chain barriers (GHSCBs).

Design/methodology/approach

This study develops a theoretical background for identifying and segregating relevant GHSCBs and proposes a 5W2H (a Toyota production system) with fuzzy DEcision MAking Trial and Evaluation Laboratory (DEMATEL) embedded approach to quantify the causal–effect relationships among the identified operational GHSCBs.

Findings

Seven GHSCBs (i.e. uncertainty of demand management, lack of continuous improvement and learning, lack of deadline management, lack of social audit, warehousing equipment unavailability, human resource shortage and inadequate top level monitoring) were identified as significant cause group where the government, top management and decision-makers of government-supported healthcare supply chain (GHSC) have to put efforts.

Research limitations/implications

The results obtained are specific to the GHSC of Indian perspective, which could be extended to global context. However, the proposed approach can be a base and provide a platform to understand and analyze the interactions among GHSCBs.

Practical implications

The proposed methodology will show the appropriate areas for allocating efforts and resources to mitigate the impact of GHSCBs for successful implementation of healthcare supply chain.

Originality/value

According to best of the authors' knowledge, this is the first study of operational barrier for GHSC in India in specific. The use of 5W2H embedded fuzzy DEMATEL approach for the development and analysis of the theoretical framework of Indian GHSCBs is unique in barrier literature.

Procurement 4.0 to the rescue: catalysing its adoption by modelling the challenges

Purpose

The pandemic crisis has resulted in global chaos that had caused massive disruption to the supply chain. The pharmaceutical industry, in particular, has been working tirelessly to ensure that they can cater to the people who need them. With restrictions being imposed to prevent the spread of the COVID-19 virus, the movement of raw materials required has been affected, thus creating the need for the procurement function to be innovative. This study proposes the application of Industry 4.0 concepts into the procurement activities of an organization to make it more resilient and efficient.

Design/methodology/approach

To study the intensity of the challenges, Total Interpretive Structural Modelling is used alongside the “Matrice des Impacts Croises Multiplication Appliquee a un Classement” (MICMAC) technique.

Findings

Resilience can be achieved through the collaboration between the organization and its network of suppliers. This is however easier said than done. High and unclear investments have been identified as the challenge that is taking a toll on all technological investments in the pandemic era. The study also shows that organizational inertia which is present in established and structured firms are a deterrent as well.

Originality/value

This study is based on the application of procurement 4.0 to ensure that pharmaceutical supply chains stay least affected since they are essentials. This study using a multi-criteria decision-making approach to prioritize the challenges. This will help practitioners make decisions faster.

Effect of inter-organizational systems appropriation in agility and resilience development: an empirical investigation

Purpose

This study explored the role of inter-organizational systems (IOS) appropriation in the form of five key IOS usage-based capabilities, namely, IOS use for communication, intelligence, integration, collaboration and coordination in the development of tourism SC agility and resilience. Furthermore, the inter-relationship among these IOS usage-based capabilities were explored.

Design/methodology/approach

The study collected perceptual measures from hotel managers and tour managers having sufficient experience in the tourism sector. With 209 completed responses, the data were analyzed using partial least squares.

Findings

The study found IOS use of communication and intelligence as prominent enablers of IOS use for integration, collaboration and coordination. Furthermore, IOS use for integration, collaboration and coordination was found to have a prominent influence in the development of tourism SC agility and resilience. However, the influence of IOS use for communication on collaboration was not supported. Also, the impact of IOS use for collaboration in tourism resilience development was not supported.

Originality/value

The study is the foremost to explore the role of IOS appropriation in the development of dynamic capabilities like agility and resilience in tourism. Furthermore, the study also contributed to extant literature on IOS appropriation through suggesting two additional factors, namely, IOS use for collaboration and coordination to the existing IOS usage-based capabilities.

Modelling the enablers of sustainability in higher education institutions

Purpose

The purpose of this paper is to explore and encapsulate the enablers that can facilitate education for sustainable development in higher education (HE). The study also aims to understand the interdependence between the enablers.

Design/methodology/approach

The study adopts the total interpretive structural modelling approach to comprehend the interaction and transitivity between the enablers. Cross-impact multiplication matrix analysis was applied to rank the enablers and classify them on the basis of the driving and dependence power into dependent, autonomous, independent and linkage enablers.

Findings

An extensive literature review and expert opinion helped in identifying 10 enablers that can promote sustainability in higher education. The structural model revealed government policies, media, accreditation/sustainability audit, sustainability leadership and institutional commitment as the crucial enablers that can drive sustainability and activate the enablers with high dependence and low driving power.

Practical implications

The results of this study will assist the policymakers and management of universities and colleges in understanding important factors that can facilitate sustainability in higher education. Universities and colleges to incorporate sustainability in their system need to transform not only the core higher education activities of learning and teaching, research and engagement, also the way the colleges operate its culture, governance, structure and how it supports the staff and students.

Originality/value

So far, research on sustainability in higher education has looked into each factor in isolation. This research provides a comprehensive view of the factors and has attempted to establish a multidirectional interplay between factors facilitating sustainability in higher education (SHE).

V, Kottayil SK. Is imperfect evaluation a deterrent to adoption of energy audit recommendations?

Purpose

Energy-efficiency leads to productivity gains as it can lower operating and maintenance costs, increase production yields per unit of manufacturing input and improve staff accountability. Implementation of energy-efficient technologies amongst industries, the factors influencing them and the barriers to their adoption have been the subject of several studies during the past three to four decades. Though energy-use behaviours of individuals or households are sufficiently explored, industrial energy conservation behaviour is scarcely studied. This study identifies the relationship between the different behavioural elements to open up a door for behaviourally informed intervention research.

Design/methodology/approach

Total interpretive structural modelling technique was used to determine the relationship between different elements of the behaviour of energy managers. Expert responses were collected to understand the relationship between the behavioural elements, through telephone interviews.

Findings

The study identified the relationship between the behavioural elements and found imperfect evaluation as the key element with the highest driving power to influence other elements.

Research limitations/implications

The authors postulate that a behaviourally informed intervention strategy that looks into the elements with high driving power such as imperfect evaluation, lack of focus on energy-saving measures and the lack of sharing energy-saving objectives can lead to: an increase in the adoption of energy efficiency measures and thereby a reduction in the energy efficiency gap; greater productivity gains and reduced greenhouse gas (GHG) emissions; Preparation of M&V protocol that incorporates behavioural, organisational and informational barriers.

Social implications

Various policy level interventions and regulatory measures in the energy field which did not address the behavioural barriers are found unsuccessful in narrowing the energy-efficiency gap, reducing the GHG gas emissions and global warming. Understanding the key driving factor of behaviour can help to design an effective intervention strategy to address the barriers to energy efficiency improvement.

Originality/value

Understanding the key driving factor of behaviour can help to design an effective intervention strategy to address the barriers to energy efficiency improvement. This study argues that through the systematic analysis of the imperfect evaluation of energy audit recommendations, it is possible to increase the adoption of energy efficiency measures that can lead to greater productivity gains and reduced GHG emissions.

Barriers to blockchain adoption in health-care industry: an Indian perspective

Purpose

This paper aims to identify barriers toward the adoption of blockchain (BC) technology in Indian health-care industry and also examines the significant issues of BC applications in health-care industry.

Design/methodology/approach

The barriers of the study are identified by two phases including the review of literature and semistructured interviews with hospital staff and administration operating in India. The experts (N = 15) are being taken from top-level management, IT experts and patients from the hospitals. The study implemented integrated total interpretative structural modeling-FUZZY-Cross-impact matrix multiplication applied to classification (TISM-FUZZY-MICMAC) methods for identifying the interrelationship among the barriers.

Findings

A total of 15 barriers have been determined in the Indian health-care industry through discussion with the selected experts. TISM is applied to develop multilevel structure for BC barriers. Further, FUZZY-MICMAC has been used to compute driving and dependent barriers. The findings suggest that low awareness related to legal issues and low support from high level of management have maximum driving power.

Research limitations/implications

The present study applies multicriterion approach to identify the limited barriers in BC adoption in health care. Future studies may develop the relationship and mark down the steps for implementation of BC in health-care setting of a developing economy. Empirical study can be conducted to verify the results along with selected case studies.

Practical implications

The present study identifies the BC adoption barriers in health-care industry. The study examines the pertinent issues in context to major support required, bottlenecks in adoption, key benefits of adoption planning and activities. The technology adoption practices are expected to provide applications such as distributed, secured medical and clinical data and patient centric systems that will enhance the efficiency of the health-care industry.

Originality/value

The study is among few primary studies that identify and analyze the BC adoption in health-care industry.

Big data analytics based enablers of supply chain capabilities and firm competitiveness: a fuzzy-TISM approach

Purpose

This paper aims to identify the big data analytics (BDAs) based enablers of supply chain capabilities (SCCs) and competitiveness of firms. This paper also models the interaction among identified enablers and thus projects the relationship strength of these enablers with SCC and a firm's competitiveness.

Design/methodology/approach

In order to achieve the research objectives of this paper, we employed fuzzy total interpretive structural modeling (TISM), an integrated approach of an interpretive structural model and TISM.

Findings

Results suggest that BDA-based enablers namely, IT infrastructure for BDA; leadership commitment; people skills for use of BDA and financial support for BDA significantly enable SCC and enhance firm competitiveness.

Practical implications

Results of the present study have implications for researchers and practitioners; the results will enable them to design policies around identified enablers of BDA initiatives.

Originality/value

The present paper is one of a few early efforts that address the role of BDA in augmenting SCC and subsequently a firm's competitiveness from a resource-dynamic capability perspective.

Orchestrating internal and external resources to achieve agility and performance: the centrality of market orientation

Purpose

This study examines the collaborative impact of networking capability and balanced agile project management (APM) on firm performance through the mediating role of market orientation and business process agility of medium and large telecommunication technology providers in Indonesia.

Design/methodology/approach

Research data were collected from the executive management of telecommunication technology providers in Indonesia via a questionnaire survey to obtain 150 valid questionnaires for analysis. This study analyzed the overall model fit and causal relationship using confirmatory factor analysis (CFA) and structural equation modeling (SEM).

Findings

The results indicate that market orientation fully mediates the link between networking capability-business process agility and balanced APM-business process agility. Furthermore, business process agility mediates the relationship between market orientation and firm performance.

Research limitations/implications

This study is based on a cross-sectional nature and might fail to capture the dynamic of the studied variables over an extended period.

Originality/value

The study extends the knowledge that dynamic capabilities, represented by networking capability and balanced APM, must be framed by market orientation to create customer value and improve bargaining position. However, market orientation alone is not enough in a highly dynamic business environment. Organization also requires business process agility, responsiveness and adaptability to timely address customers' needs and requirements.

What can we learn from previous pandemics to reduce the frequency of emerging infectious diseases like COVID-19?

The global risks report of 2020 stated, climate-related issues dominate all of the top-five long-term critical global risks burning the planet and according to the report, "as existing health risks resurge and new ones emerge, humanity's past successes in overcoming health challenges are no guarantee of future results." Over the last few decades, the world has experienced several pandemic outbreaks of various pathogens and the frequency of the emergence of novel strains of infectious organisms has increased in recent decades. As per expert opinion, rapidly mutating viruses, emergence and re-emergence of epidemics with increasing frequencies, climate-sensitive vector-borne diseases are likely to be increasing over the years and the trends will continue and intensify. Susceptible disease hosts, anthropogenic activities and environmental changes contribute and trigger the 'adaptive evolution' of infectious agents to thrive and spread into different ecological niches and to adapt to new hosts. The overarching objective of this paper is to provide insight into the human actions which should be strictly regulated to help to sustain life on earth. To identify and categorize the triggering factors that contribute to disease ecology, especially repeated emergence of disease pandemics, a theory building approach, 'Total Interpretive Structural Modeling' (TISM) was used; also the tool, 'Impact Matrix Cross-Reference Multiplication Applied to a Classification' analysis (MICMAC) was applied to rank the risk factors based on their impacts on other factors and on the interdependence among them. This mathematical modeling tool clearly explains the strength, position and interconnectedness of each anthropogenic factor that contributes to the evolution of pathogens and to the frequent emergence of pandemics which needs to be addressed with immediate priority. As we are least prepared for another pandemic outbreak, significant policy attention must be focused on the causative factors to limit emerging outbreaks like COVID 19 in the future.

Exploring integrated supply chain performance in healthcare: a service provider perspective

Purpose

The paper identifies the antecedents and consequences of integrated supply chain performance (ISCP) in healthcare systems.

Design/methodology/approach

Based on a review of the literature constructs of supply chain flexibility (SCF), employee relationships (ERs), organizational orientation (OO) and knowledge exchange (KE) were identified as antecedents of ISCP, and patient centricity (PC) emerged as its consequence. This structural relationship was tested using partial least square structural equation modeling (PLS-SEM).

Findings

ERs, SCF, OO and KE positively impacted the performance of an integrated healthcare supply chain. Furthermore, enhanced ISCP in operational processes of the hospital positively influenced patient centeredness and care quality.

Research limitations/implications

Paper contributes by identifying antecedents and consequences of ISCP. Future researchers may explore the inter-relationships among the antecedents of ISCP.

Practical implications

Insights from this study will help practitioners in enhancing hospital operations by integrating processes along the healthcare service supply chain and developing a patient-centric approach.

Social implications

This paper highlights how PC may be achieved by focusing on a facilitative internal environment. This understanding may help in designing processes that deliver health as a social good in an effective manner.

Originality/value

The empirical evidence from this study can help hospitals integrate their functions, thus, enabling them to deliver quality care.