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Grounded in the concept of signaling theory and instrumental-symbolic framework, the purpose of this paper is to develop a model to examine the impact of print job advertisement (ad) dimensions (message contents) and organizational familiarity on job seeker’s perception of attitude, organizational attractiveness, and application intention.

This paper is a theoretical exploration based on existing literature.

The presence of instrumental and symbolic attributes in print job advertisement such as job and work characteristics, aesthetics, employee testimonial/picture, corporate image enhancing statements, organizational culture-enhancing statements, and human resource offerings are more likely to play influential roles in creating favorable attitude, organizational attractiveness, and application intention in a job seeker. Apart from this, organizational familiarity plays a moderating role on job seeker’s attitude formation and in gaining organizational attractiveness.

The study offers a clear guideline to recruiting organizations, HR managers, recruitment agencies, or consultants on how to design a recruitment advertisement to pool a large number of potential applicants. The study also throws light on testing the effectiveness of a recruitment advertisement, similar to commercial ads. Moreover, the outcome of testing would help the recruiters understand the pulse of the job seeker toward the ad, job, and organization.

This study theoretically clarifies the role of instrumental and symbolic attributes or dimensions of job ads and the role of organizational familiarity in inducing positive attitude formation and organizational attractiveness, in the process that cultivates application intention in a potential job seeker.

The study aims to understand the signaling effects of two major recruitment advertisement (ad) contents – job attributes and organizational attributes (OA) – on the perceptions and application intentions (AIs) of potential job seekers.

A fictitious faculty job ad based on existing real ads was created as a stimulus and the responses to the ad were collected from 270 job seekers of the academic domain in India. The partial least square-structural equation modeling was used to test the hypothetical relationships.

Drawing from the concept of signaling theory and instrumental-symbolic framework, the results revealed that job attributes and OA exhibit strong signals that generate the following perceptual outcomes in a job seeker – organizational attractiveness, attitude and person-organization fit. These perceptual outcomes mediated effectively to induce an AI in a job seeker. Signals from information on job attributes had a more significant effect on the job seeker than signals from information on OA.

The outcome of the study provides preparatory guidelines to academicians, institutional recruiters and recruitment agencies in posting an effective job ad.

From an Indian context, this is the first paper to present distinctive job advertising strategies to be implemented in the academic institutional recruitment communication.

The purpose of this study is to investigate the barriers for implementing Lean Six Sigma (LSS) in small and medium-sized enterprises (SMEs) and present a framework that provides prioritized strategies to overcome the barriers.

The barriers and strategies are identified via a comprehensive literature review and validated by industry experts. The study uses the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS) to analyze the barriers and strategies for determining the prioritized list of strategies.

The findings reveal that there are sixteen barriers to LSS implementation in Indian SMEs. To overcome these barriers, this study reveals twelve strategies. The analysis shows that “effective management” is the most crucial strategy to overcome the barriers for implementing LSS in Indian SMEs.

This research guides SMEs practitioners to efficiently and effectively implement LSS, which, in turn, can enhance the performance of SMEs.

This study contributes to the literature by integrating the strategies with the barriers for implementing LSS in Indian SMEs. Besides, this study provides the prioritized list of strategies to overcome the barriers for implementing LSS in Indian SMEs.

Leadership has for a long time been a topic that attracts the attention of both academics and practitioners. In spite of the extensive literature on leadership and very little literature on leadership in Six Sigma, there is almost a complete absence to explain how and what leadership characteristics are needed for successful implementation of Six Sigma initiatives. This paper aims to address this issue.

This research adopts a triangulation method, however for the purpose of this paper; the focus is on a thorough review of literature.

From an exhaustive literature review, this research has made some observations and developed an agenda for research. This is presented in the form of an integrated leader, leadership and Six Sigma framework in addressing organisation sustainability issues.

The developed integrated framework for the successful deployment of Six Sigma contributes to knowledge which is underpinned by robust literature review.

The chapter aims to empirically explore trends and issues concerning Indian wellness services being taken internationally for commercial use by wellness service providers and tourists. The text also highlights how their authenticity gets compromised in place of profitability. The enquiry is approached through a conceptual framework of wellness tourism and subsequent tourism concerns. While scholars have recently turned their attention to tourism challenges during the COVID-19 pandemic, the perspective of digitalization within tourism can help to nuance this area of concern. Some recommendations for the Indian wellness tourism sector include digital solutions, screen-induced tourism, measures towards tourists' safety, regulations concerning certifications and targeting new client segments. Furthermore, raising greater awareness about the philosophical backdrop of Indian wellness services amongst international tourists would contribute to practice and theory while resurrecting the wellness tourism industry in India.

The present study aims to explore the barriers to Lean Six Sigma (LSS) implementation in the healthcare sector and develop the ranking of finalized barriers using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach under a fuzzy environment.

The LSS barriers are identified through the literature review and validated by the expert's opinion and statistical analysis. A total of 124 experts were identified through the purposive sampling method for conducting this study. A questionnaire survey method is used to collect the data related to identified LSS barriers in the healthcare sector. The screened barriers are ranked through the Fuzzy DEMATEL approach.

In this study, a total of 21 barriers were identified with the help of a systematic literature review and screened 13 significant barriers by the expert opinions of healthcare personnel. The result reveals that “Lack of top management commitment and support, lack of awareness about LSS”, “resistance to culture change and inadequate resources emerges as the most critical barriers”. The prioritization of barriers facilitates the managers to make effective policies and guidelines for LSS implementation in healthcare organizations.

To avoid LSS implementation failure, the practitioners and researchers need to focus on LSS barriers as per suggested ranking more conventionally and make plans and adoption policies accordingly.

This study is unique in terms of investigation and empirical analysis of LSS implementation barriers in the healthcare sector in the Indian context. The outcomes of the present study will help the managers of healthcare organizations to make the strategies and policies for LSS implementation as per the recommended LSS barriers.

Several authors have proposed different approaches to help practitioners deal with the complexity of prioritising improvement projects and initiatives. However, these approaches have been developed as “generic” methods which do not consider the specific needs, objectives and capabilities of different industries and organisations. The purpose of this paper is to present an integrated methodology that prioritises improvement projects or initiatives based on two key performance objectives, cost and quality, specifically important for low volume‐high integrity product manufacturers.

The paper reviews some of the most commonly used prioritisation methods and the theory and logic behind the proposed prioritisation methodology. Then, the prioritisation methodology is empirically tested, through a case study, in a world class manufacturing organisation.

The results obtained from the case study indicate that the integrated methodology proposed in this paper is an effective alternative for low volume‐high integrity products manufacturers to identify, select and justify improvement priorities.

Selection and prioritisation of projects and initiatives are key elements for the successful implementation of improvements. The integrated methodology presented in this paper intends to aid organisations in dealing with the complexity that is normally handled over the selection and prioritisation of feasible improvement projects.

This paper presents a novel methodology that integrates two commonly used approaches in industry, Process Activity Mapping (PAM) and Failure Mode and Effect Analysis (FMEA), to prioritise improvements. This methodology can help, in particular, organisations embarked in the manufacture of low volume‐high integrity products to take better decisions and align the focus of improvement efforts with their overall performance and strategic objectives.

This research aims to analyze the literature on Quality 4.0 and pinpoint the essential factors contributing to its success. Additionally, the research aims to develop a framework that can be used to create a capable workforce necessary for the successful implementation of Quality 4.0.

By following a systematic approach, the authors could ensure that their literature review was comprehensive and unbiased. Using a set of pre-determined inclusion and exclusion criteria, the authors screened 90 research articles to obtain the most relevant and reliable information for their study.

The authors' review identified essential findings, including the evolution of literature in the field of Quality 4.0 and the systematization of previous literature reviews focusing on training and development. The authors also identified several training barriers to implementing Quality 4.0 and proposed a model for building a competent workforce using Kolb's experiential learning model.

The authors' research offers insights into the training barriers that must be considered when building a competent workforce. Using the framework proposed in the authors' research, consultants and managers can better integrate Quality 4.0 into their organizations.

The adoption of Quality 4.0 has significant social implications and is essential for advancing sustainability. It can improve efficiency, reduce waste, minimize environmental impacts and better meet the needs and expectations of stakeholders.

The authors' study stands out as one of the earliest reviews of the literature on Quality 4.0 to incorporate the theory-context-method (TCM) framework, allowing to provide unique insights into future research directions that had not been previously explored.

The higher education sector has been lately facing new challenges. The ease and speed with which the workforce adapts to these changes determine their agility level. This study attempts to develop a conceptual model to measure workforce agility in higher education.

An extensive literature review revealed limited research on workforce agility assessment. This study addresses the research gap by developing a workforce agility assessment framework and testing the model in a higher education institution (HEI). The study applied the fuzzy logic method for the assessment.

The computed value of the fuzzy-workforce agility index (3.72, 5.27, 6.86) indicates that the HEI chosen for the assessment is Agile. The fuzzy performance importance index helped identify the six-weak attributes that require immediate attention and improvement.

The proposed framework would help the institution's management understand the current agility level of their workforce and take corrective actions to improve the identified weak attributes.

The study has contributed to the literature of workforce agility assessment by creating a conceptual model for evaluating workforce agility in higher education. This model can be applied to any HEI.