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An effective performance management must track level of employee engagement, ensure employee feedback on all aspects and ensure that the people act on that information. Also, it must ensure accessibility of essential conditions to perform. Considering the challenges associated with existing performance management system, present study attempts to discover factual expectations from the employees. The paper also establishes required conditions for fulfilling such expectations.

Present study attempts to discover factual expectations from the employees using the Balance Scorecard approach (BSC). Furthermore, using Quality Function Deployment (QFD), relation between employers' expectation and requirements necessary to fulfill such expectations has also been determined.

The suggested model has been developed as House Of Performance Management (HOPM) outlining potential leveraging points for enhancing the performance, based on which immediate actionable measures for effective and efficient performance management can also been advocated. The HOQ suggested in this paper can be source of reference while developing performance management system for an organization. Besides, it can help the Human Resource team to discover strategic opportunities and set targets.

Effective goal setting, pooled with a method to track progress and identify obstacles, contribute to attainment of bottom to top line results. However, designing and implementing such performance management system has been associated with many challenges like lack of top management support, perception of the process as time-consuming, failure to communicate clear and specific goals and expectations, lack of consistency, etc. (Managing employee performance, 2019). Hence most organizations have been increasingly looking for effective ways of assessing employee performance that can promote stakeholders' satisfaction, employee engagement and continuous improvement.

The purpose of this study is to explore and examine the determinants of artificial intelligence (AI) adoption by human resource management (HRM). Further, the impact of AI adoption by HR department on their effectiveness has also been tested.

A model explaining the antecedents of AI adoption by HRM is proposed in this study. The proposed model is based on task–organization–environment and task–technology fit models. A two-step partial least square-based structural equational modelling (PLS-SEM) has been used for testing the model. Data was collected from 210 HRM employees (only senior level or specialized HR positions), working in IT firms located in Delhi-NCR region.

Literature review shows that among others, organizational preparedness, perceived benefits and technology readiness determine AI adoption which in turn can make HR system more effective. Results of PLS-SEM support all hypothesized relationships and validate the proposed model.

Considering paucity of research on antecedents of AI adoption by human resource department, this study adds significantly to the body of knowledge. Additionally, based on the findings of statistical analysis, certain AI-related recommendations are given to HRM.

The study aims to understand the association between subjective well-being, psychological well-being, work satisfaction and engagement amongst middle-level hospitality managers.

The data were collected from 624 middle-level hospitality managers working in two corporate hotel chains across five north-western states of India. Structural equation modelling (SEM) with a covariance-based approach (CB-SEM) was implemented using SPSS AMOS, adhering to a two-step process that included both measurement and structural models. The application of CB-SEM primarily aimed to (1) evaluate the cascading impacts across constructs and (2) scrutinise the concurrent relationships amongst constructs, with a specific focus on well-being (both psychological and subjective), context-specific job satisfaction and work engagement.

Evidently, the post-COVID-19 scenario found to be challenging for the hospitality industry. Thus, this empirical research posits that subjective and psychological well-being positively influences work engagement via work satisfaction as a mediator.

Given the people orientation in the hospitality sector, the research contributes to the existing body of literature by assessing the relationships between psychological and subjective well-being, work satisfaction and engagement amongst middle-level hotel managers employed in the corporate chain of hotels in India.

Micro, Small, Medium Enterprises (MSMEs) are witnessing an accelerated transformation by the advent of Industry-4.0 (I4.0) in the post-pandemic period. It is offering promising customer responsiveness, competitiveness, business growth and sustainability and thereby, compelling its integration to MSMEs. Therefore, it is imperative for researchers to explore Industry 4.0 challenges and their specific implementation requirements and also provide useful insights to the stakeholders.

This research paper has identified, explained and analysed various determinants of the I4.0 implementation, in MSME context. Focus group approach has been applied for taking inputs from experts for developing the House of Quality (HOQ) tool of the Quality Function Deployment (QFD) methodology from the Total Quality Management (TQM) tool-box.

Based on the responses and after applying QFD, a conceptual model suggesting relevant strategies to execute I4.0 by Indian MSMEs has been developed. The model highlights three key challenges being faced by the Indian MSMEs –Top management support, Incompatible resources and Transition cost. The model also reveals vital few designer's descriptors – Cultural reorientation, IT enabled digitization, Process automation and knowledge and skill in I4.0 implementation (Knowhow) for a structured implementation of I4.0.

The evolved HOQ framework has provided some useful insights - priority areas in the MSME challenges and the designer's descriptors for I4.0 implementation in MSME. The research has also provided the understanding of the dynamics between the I4.0 components through the 10 × 10 interrelationship matrix of the HOQ. Farsighted MSME leaders, practising consultants, sourcing managers and policy makers can use the developed framework as a reference in formulating tactics to mitigate the I4.0 implementation barriers.

The non-conventional application of HOQ in the QFD approach from the TQM tool-box is a useful value addition to the TQM practitioners. The useful insights to the MSME leaders, policy makers, sourcing managers of OEM, consultants engaged in I4.0 transformation and academic researchers are the other contribution.

Humans are the most significant entity in the fast-growing tourism ecosystem. Paradoxically, many of the environmental crises caused by tourism are the consequences of anthropocentrism. Therefore, initiatives for regenerative tourism are imperative. This paper aims to identify and understand the key barriers and their interrelationships under regenerative tourism and provide recommendations for progress.

The literature review and focus group approach identified barriers to regenerative tourism. Then, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology was applied to analyse the strength and cause-and-effect interrelationships between the barriers.

The scatter plot and digraph of the data set from DEMATEL have provided useful insights. The strongest barrier is the absence of an evolved comprehensive framework for regenerative tourism for each location. A linear mindset and lack of a single-window approach for regenerative initiatives are the two cause barriers. The two strongest effect barriers are the lack of symbiotic relationship/management between various entities in the tourism ecosystem, and operational barriers focused only on short-term routine business objectives.

The DEMATEL approach has brought out useful stakeholder insights. It has set the priorities for focus based on the degree of interrelationship strength and the relationship’s kind (cause or effect). It has provided stakeholders for futuristic regenerative tourism.

Application of the DEMATEL approach for analysing the cause-and-effect dynamics between the twelve barriers to the future of regenerative tourism.

The healthcare ecosystem continues to evolve with new technological developments with the support of its stakeholders. The technology-driven and patient-centric Healthcare 5.0 (H5.0) ecosystem is undergoing a transformation promising enormous benefits. However, the need to identify and understand the inherent challenges and barriers faced in the journey of H5.0 implementation and the relevant countermeasures for accelerated implementation has become critical.

The current research paper has utilised the Delphi approach for the collection of information and applied a well-proven quality function deployment (QFD) methodology for analysis.

The house of quality (HOQ) tool from the QFD has highlighted the critical H5.0 challenges which contribute to, approximately, 60% of the total weight. The identified top five process descriptors from the developed HOQ also contribute, approximately 60% among overall countermeasures. A useful H5.0 implementation progress (HIP) index has been recommended for tracking the progress made in the H5.0 implementation journey.

This research is among the first that has provided the application of the HOQ approach in the QFD methodology in the domain of H5.0. It has provided useful insights to the stakeholders. Furthermore, the development of a simple and practical HIP index is another useful value addition.

The decision to select one amongst many choices of higher education institutions (HEIs) is a complex process. At a theory-building level, this study investigates the determinants of students' decisions as they consider investing in a long-term credence service higher education (HE) contract in pre- and in-pandemic and the implications for education managers. The second aspect is how disruptive global events influence such choice-making.

The study hypothesized that there would be significant differences in the driving factors and their weight in students' decisions seeking admission into B-schools (Business schools). Structural equation modeling (SEM) and t-test validate the determinants and test hypothesized differences.

Results reveal that core faculty quality, industry exposure, institutional brand name, placement offered, return on investment and specializations offered are the preferred choice criteria. The results reveal that choice criteria in the pre-and in-pandemic differ significantly.

The application of the SEM approach on a large primary database of students during the pre and in-pandemic periods to understand the changes in the choice of B-school for admission is the original aspect of the paper. Insights from the four hypotheses which got rejected provide value to stakeholders. As the pandemic is rearing its head once again across the globe, this study would be able to inform admissions managers on how to navigate for admissions success.

The accelerating business transformation through Industry 4.0 (I4.0) is expected to create significant value in the manufacturing industry by delivering considerably high productivity, superior quality, better efficiency and effectiveness. However, its evolutionary processes have far-reaching challenging for humanity. This has triggered a need to analyze the impact of I4.0 on various people-centric variables (PCVs).

This paper attempts to analyze the interrelationship dynamics between the PCVs in the current digital-industry ecosystem using a focus-group approach and causal loop diagrams. Application of the SWARA (stepwise weight assessment ratio analysis) methodology has provided its prioritized ranking in terms of importance.

The study has highlighted that I4.0 has a significant influence on five of the 13 PCVs – human quality of life, digital dexterity, high-skilled talent, low-skilled employment and creativity which contribute to 80% of the total impact.

The prioritized weights of the human factors from the SWARA approach have facilitated the assessment of the Human Resource Development Index (HRDI). The study is also contributing in enriching the literature on the human impact of the growing I4.0 and triggered the researchers to study further its adverse impact on critical human factors.

1. The paper pertains to debates on a very critical issue of impact of integration of the current intelligent digital technologies in manufacturing and services to transform businesses to be more flexible and agile.

2. This paper features I4.0 as a technology that allows integration of new products in the existing production lines, one-off manufacturing runs and high mix manufacturing.

3. The paper also highlights major adjustments in operational activities, processes, supply chain, and organizational redesign due to I4.0 adoption.

4. The current research study has significantly enriched the literature on the I4.0 impact on people-centric variables (PCVs) using the SWARA method. The use of the Causal Loop Diagram has very aptly brought out the type of causality (polarity) between the different PCVs in the growth of I4.0.

The paper pertains to debates on a very critical issue of impact of integration of the current intelligent digital technologies in manufacturing and services to transform businesses to be more flexible and agile.

This paper features I4.0 as a technology that allows integration of new products in the existing production lines, one-off manufacturing runs and high mix manufacturing.

The paper also highlights major adjustments in operational activities, processes, supply chain, and organizational redesign due to I4.0 adoption.

The current research study has significantly enriched the literature on the I4.0 impact on people-centric variables (PCVs) using the SWARA method. The use of the Causal Loop Diagram has very aptly brought out the type of causality (polarity) between the different PCVs in the growth of I4.0.

The aim of this paper is to explore and analyse the challenges in effective implementation of blockchain by human resource management (HRM) functions. This paper also aims to assess the interplay between the barriers in causing the challenges during blockchain execution.

Ten barriers are discovered from the past studies. Based on the expert views on the identified barriers interpretive structural modelling (ISM) is administered to understand the interplay of these 10 challenges resulting in ineffective or non-implementation of HR blockchain.

The application of ISM has helped in categorizing the variables into strategic, operational and performance outcomes. Results of ISM indicate key barriers like lack of expertise, data privacy, technical infeasibility, complexity in implantation and lack of used cases.

The research is limited to 10 barriers. There can be other barriers that can also be studied. Second, the research is proposing a conceptual model that needs further validation.

This paper has significant implications for the theoretical and practical body of knowledge. So far, most studies are exploring and describing HRM from a digital perspective. Most HR studies are on artificial intelligence, the Internet of Things and smart HRM. Previous studies on blockchain for HRM are mostly describing the advantages of going for it.

Based on the findings, it can also be suggested that policy formulators must advance the technical regulatory framework. Blockchain technology can be effectively implemented only if the top management is committed to it because they can only frame the rules and right control framework, affirm the governance process and strategize improvement.

The study offers insights into the organization's decision makers for effectively implementing blockchain into their HR systems. Some specific recommendations based on the results are also made. The paper is an innovative attempt to analyse the barriers to HR blockchain.

The purpose of this paper is to validate the enablers of bio-inspired model of organizational excellence proposed by Agarwal and Vrat (2015a). It is also aimed to test its usefulness as an instrument in evaluating the degree of organizational excellence achieved.

Survey methodology has been used to investigate the hypotheses. Data have been collected through a self-structured questionnaire with closed-ended questions. Structural equation modeling and analytic hierarchic process have been used to test and analyze the data.

The results of hypothesis testing indicated that out of 19 paths only ten were significant. However, in the revised model only six paths out of those ten significant paths were retained and three new suggested paths were incorporated to make the final model. Besides, calculation of relative weights of each enabler shows that being self-driven occupies the top-most rankings, supply chain optimization occupies the second rank and promptness and reliability and maintainability occupy the bottom ranking in driving performance excellence, being resulting outcomes.

The major limitations of this research are: verification of the proposed model is done on only two test companies, and results of which are compared with one excellence award model only. Besides, the score resulted for test companies are based on self-assessment by them and thus require further validation.

The validated model can be applied for assessing degree of organizational excellence achieved by any company. The results of the assessment would serve as key focus areas for improvement.

The research is first to benchmark the human body for assessing the degree of organizational excellence achieved. The uniqueness of this model is that the various parameters of excellence assessment which are derived from human body, perceived as a benchmark in being the most well managed system.