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This paper aims to understand loneliness with a special focus on perceived loneliness using a multifaceted approach.

To the best of the author’s knowledge, this appears to be the first paper dedicated to investigating the perception of loneliness as its primary topic. Unfortunately, not much work is available on this specific focus. However, various facets and dimensions can be integrated to gain a better understanding. Therefore, the author has carefully selected four sections, each focusing on different aspects of loneliness. These sections can contribute to a better understanding of loneliness, keeping in mind its perception.

Section one examines the cognitive processes and self-assessment mechanisms that set lonely individuals apart from their non-lonely counterparts. These include heightened awareness, negative social cue interpretation and increased sensitivity to social threats. Section two examines the predictors of loneliness and associated emotional responses. This includes factors such as emotional responses, attributions, duration and situational variables. Section three challenges conventional definitions of loneliness by introducing social asymmetry. Within this framework, personality traits such as extraversion emerge as resilient against loneliness, even in social isolation. Section four discusses the significant influence of cultural diversity on perceptions of loneliness. Collectivist cultures rely on familial and community support to combat loneliness, whereas individualistic cultures require interventions that promote independence.

This comprehensive examination contributes insights for informing targeted interventions, reinforcing support systems and enhancing our understanding of human connectivity in an increasingly isolated world.

This paper aims to identify, analyze and categorize the major readiness factors for implementing Lean Six Sigma (LSS) in health-care organizations using total interpretive structural modelling technique. The readiness factors are identified would help the managers to recognize the areas that lack and provide importance to the successful implementation of LSS in those areas. The paper further intends to understand the hierarchical interrelationships among the readiness factors identified using dependence and driving power.

In total, 16 readiness factors are identified from the literature review and expert opinions are collected from hospitals. The scheduled interview is conducted based on a questionnaire survey in hospitals in the Indian context to identify the relevance of the relations among the readiness factors. The expert opinions are used in the initial reachability matrix and interpretative interaction matrix. Matrix impact cross multiplication applied to classification (MICMAC) analysis uses dependence and driving power to understand the hierarchical relationship among the readiness factors identified.

The result indicates that customer-oriented and goal management cultures are the key readiness factors for LSS. The execution technique and training are given according to the current demand of customers and goal change of organization. The manager needs to concentrate more on readiness factors to formulate the execution process of LSS for continuous improvement of the health-care organization. The readiness level helps the manager to identify the target area for LSS execution.

This research focuses mainly on readiness factors for the implementation of LSS in the health-care industry.

This study would be useful for researchers and practitioners to understand the readiness factors before starting the implementation process of LSS.

Many research studies are being done on the success and failure rate of implementation of factors. The present study identifies the readiness factors related to LSS, especially for the health-care industry.

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.

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.

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.

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.

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.

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

Significant advances in digital technologies impact both organisations and knowledge workers alike. Organisations are now able to effectively analyse significant amounts of data, while accomplishing actionable insight and data-driven decision-making through knowledge workers that understand and manage greater complexity. For decision-makers to be in a position where sufficient information and data-driven insights enable them to make informed decisions, they need to better understand fundamental constructs that lead to the understanding of deep knowledge and wisdom. In an attempt to guide organisations in such a process of understanding, this research study focuses on the design of an organisational transformation framework for data-driven decision-making (OTxDD) based on the collaboration of human and machine for knowledge work. The OTxDD framework was designed through a design science research approach and consists of 4 major enablers (data analytics, data management, data platform, data-driven organisation ethos) and 12 sub-enablers. The OTxDD framework was evaluated in a real-world scenario, where after, based on the evaluation feedback, the OTxDD framework was improved and an organisational measurement tool developed. By considering such an OTxDD framework and measurement tool, organisations will be able to create a clear transformation path to data-driven decision-making, while applying the insight from both knowledge workers and intelligent machines.

The purpose of this paper is to identify and analyze the interactions among different readiness factors for implementing agility in healthcare organization. Total interpretive structural modeling (TISM) based readiness framework for agility has been developed to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.

The identification of factors is done by TISM approach used for analyzing the mutual interactions between factors. Cross-impact matrix multiplication applied to classification analysis is utilized to find the driving and dependent factors of agile readiness in healthcare.

This paper identifies 12 factors of readiness for change in literature review, which is followed by an expert interview to understand the interconnection of factors and to study interrelationships of factors. The study suggests that factors like environmental scanning, resource availability, innovativeness, cost effectiveness, organizational leadership, training and development are important for implementing/improving the readiness of agility in healthcare organizations.

This research focuses mainly on readiness factors for agility in healthcare sector.

Top management must stress on readiness factors that have a strong driving power for efficient implementation of agility in healthcare. This study helps the managers to take quick decisions, and continuous monitoring of readiness factors would be more beneficial to improve the quality of service, which makes the organization more agile.

In this research, TISM-based readiness for agile framework structural model has been proposed for healthcare organizations, which is a new effort for implementation of agility in healthcare.

The study aims at empirically investigating and prioritizing the critical barriers for the successful implementation of agile manufacturing in the medium- and large-scale Indian manufacturing industries.

A literature review of peer-reviewed journals and discussion with experts is used to identify 17 barriers to the implementation of agile manufacturing. An empirical survey is then conducted to collect data regarding the agile manufacturing barriers and is further analyzed using the factor analysis and vlsekriterijumska optimizacija i kompromisno resenje (VIKOR).

Based on the survey of empirical data, the investigated critical barriers were reduced in five critical categories, as follows: Managerial constraints, technological constraints, human resource–related constraints, operational constraints and organizational culture-related constraints, which are further ranked in terms of their severity using VIKOR. This research advocates the development of a strategy for addressing the most critical barriers instead of focusing on all for the successful implementation of agile manufacturing.

This work contributes to agile manufacturing literature by the structured presentation of the barriers to implement agile manufacturing in the Indian manufacturing industry. It also extends the integrated factor analysis and VIKOR method to investigate and rank the barriers.

The purpose of this study is to examine the effect of organizational readiness (OR) dimensions (organizational culture, climate and capability) on three types of innovations (INs) (service, process IN and entering new markets) in telecommunication companies. The study also tests the mediating role of employee engagement (EE) in the causal relationship between OR and IN.

In the theoretical framework, a deep and broad review of the literature was presented to determine the study variables and hypotheses that were tested in the field study. The study sample consisted of 306 respondents distributed to the headquarters of the three companies (Zain, Orange and Umniah) working in the Jordanian telecommunications sector. The number of questionnaires retrieved and valid for analysis was 255 (83%).

Results indicate a positive effect of organizational climate and organizational capacity on process IN and entering new markets. While organizational culture had no significant effect on the three types of IN EE did not have a mediating role in the relationship between OR and IN.

The results of this study are related to the telecommunications sector as a highly competitive service sector and more able to work remotely with regard to customers, so its results cannot be generalized to other sectors such as the industry sector, which has suffered in recent years from the epidemic more than other sectors.

The study of OR as a concept, dimensions and effects provides great experience for leaders and managers facing the challenges of competition and threats posed by the Covid-19 pandemic. This study also helps researchers to study OR in new areas and in relation to other concepts.

The OR covers a wide field that includes the individual, the group and the company. Therefore, readiness includes a social experience that can extend from the company to the community.

The study gains an important value by revealing that organizational culture as a dimension of readiness does not have a significant impact on IN. With the readiness to respond quickly to challenges, culture can be more inclined to the status quo and the prevailing routine than to IN and change.

The purpose of this paper is to describe the application of soft systems methodology (SSM) to address the problematic situation of low opt-in rates for Precision Health-Care (PHC).

The design logic is that when trust is enhanced and compliance is better assured, participants such as patients and their doctors would be more likely to share their medical data and diagnosis for the purpose of precision modeling.

The authors present the findings of an empirical study that confronts the design challenge of increasing participant opt-in to a PHC repository of Electronic Medical Records and genetic sequencing. Guided by SSM, the authors formulate design rules for the establishment of a trust-less platform for PHC which incorporates key principles of transparency, traceability and immutability.

The SSM approach has been criticized for its lack of “rigour” and “replicability”. This is a fallacy in understanding its purpose – theory exploration rather than theory confirmation. Moreover, it is unlikely that quantitative modeling yields any clearer an understanding of complex, socio-technical systems.

The application of Blockchain, a platform for distributed ledgers, and associated technologies present a feasible approach for resolving the problematic situation of low opt-in rates.

A consequence of low participation is the weak recall and precision of descriptive, predictive and prescriptive analytic models. Factors such as cyber-crime, data violation and the potential for misuse of genetic and medical records have led to a lack of trust from key stakeholders – accessors, participants, miners and regulators – to varying degrees.

The application of Blockchain as a trust-enabling platform in the domain of an emerging eco-system such as precision health is novel and pioneering.

This study focuses on the factors that determine the readiness of hotels to implement customer relationship management (CRM) in hotels within the context of Ghana. The sample consisted of 292 employees (restaurant managers, customer service officers, customer relations' officers, and marketing managers) from 3- to 5-star hotels. The study adopted a quantitative deductive approach to collected data using cross-sectional survey, which was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings revealed that management change initiatives and culture have significant impact on organizational readiness to implement CRM in hotels, specifically Ghana. Also, the organizational culture partly mediates management change initiatives and organizational readiness to implement CRM activities. On the other hand, use of technology proved not to mediate management change initiatives and organizational readiness as the relationship proved not to be significant. Also, culture and use of technology have not mediated management change initiatives and organizational readiness as the indirect path proved not to be significant. The outcomes have useful implications for CRM adoption by hotel managers.

The objective of this paper is to investigate, assess and develop a hierarchical model to evaluate the interrelationship of critical success factors (CSFs) that influence the deployment of Sustainable LSS framework in hospitals. Further, developed model has been validated to investigate its applicability in hospitals towards sustainable LSS implementation.

“Interpretive Structural Modeling” (ISM) has been utilized to develop a convenient hierarchy and contextual relationship of key CSFs throughout the implementation pathway in Indian healthcare industry through systematic literature review and expert opinion, which is ensured by a taxonomy of CSFs using MICMAC (“Matrice d' Impacts Croisés-Multiplication Appliquée á un Classement”) and questionnaire-based survey to empirically validate the model through utilizing “Structural Equation Modelling” (SEM).

In this study, 17 keys CSFs to sustainable LSS implementation in healthcare industry have been investigated, and modeled. “Social and environmental responsibility,” “Financial return and project success stories,” “Top management involvement and leadership to implement Sustainable LSS,” “Availability of required resources, and their efficient utilization” are found to be the most essential CSFs for successful sustainable LSS implementation in healthcare industry. Further, classification of CSFs has been done for better interpretation of their nature using MICMAC approach. Moreover, the applicability of the proposed model has been empirically assessed utilizing SEM.

The scrutiny of data reveals that the initial inputs from experts throughout the ISM pathway could trigger biased inputs into the study and generalization of the results into others, it might be viable that this propounded model might trigger distinct outcomes for contrasting types of healthcare organizations.

This model on sustainable LSS would support the decision-makers, practitioners and researchers to predict key CSFs through deployment and support the existing academic research on sustainable LSS. Accordingly, the focus on the CSFs of the sustainable LSS can be prioritized to diminish waste, and enhance patient satisfaction and safety.

This paper is an original contribution of analysis of CSFs in Indian healthcare industry utilizing an integrated ISM-MICMAC and SEM approach.