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The success rate of Lean Six Sigma (LSS) in the service industries is dismally poor, and most organisations discontinue LSS initiatives prematurely. This paper aims to identify the LSS barriers (LSSBs) and analyse their interaction via a hierarchical model developed by using interpretive structural modelling (ISM) and Fuzzy Matriced Impacts Croise’s Multiplication Appliqué à un Classement (MICMAC). These allow the LSS execution and implementation to be much more effective and avoid the high cost of implementation.

A structural review of the literature and interviews with experts and professionals from the service industries in the UAE supplied data wherewith to identify LSSBs. Sixteen LSSBs were determined and analysed using ISM and the MICMAC approach to discover the strong drivers and highly dependent barriers. The Fuzzy set was included in the MICMAC analysis to obtain a more precise output and create an effective hierarchical model of the barriers.

The research findings suggest that the top barriers to LSS implementation in service industries are lack of top management commitment, lack of customer focus, resistance to change management and lack of alignment between the LSS and organisational strategy. A deeper analysis using the Fuzzy-MICMAC approach categorises these barriers on the basis of their driving power and dependency.

The relationships between paired LSSBs were obtained through an experts’ interpretations of limited numbers in one country. Conducting a large-scale survey with a more comprehensive demographic or deep focus in one service industry might deepen our understanding of the interactions of LSSBs and models.

The developed ISM that model suggests that the dependencies and relationships among the barriers must be accurately determined so as to remove the collaborative effect of barriers on the implementation process is at the earliest opportunity. This would improve service companies’ competitive advantage and profitability, drive out waste and reduce the cost associated with poor quality. Similarly, academicians may advocate ways in various issues can contribute to improve LSSBs for amended LSS implementation now that business services are booming in the fourth industrial revolution.

The structural model was developed holistically on the basis of the inputs from practitioners and academicians to ensure its practical validity. Though the model has theoretical foundations, its practical applicability is a key factor in its development, so this approach was helpful for practitioner wanted to focus on removing the key dominant barriers and be able to deploy LSS concepts smoothly in service industries. The results support the proposition that top management is a crucial factor for LSS project implementation, whatever the complexity of the research methodology and the nature of the service industries.

Quality education is a key requirement of a burgeoning country, like India as it aims to establish a sustained growth. However, the current situation of Indian education system is extremely poor. Although efforts are being made nationwide to improve the present situation, it is incontrovertible that different complications ail different Indian states. Some states suffer from a poor gross enrollment ratio, while others have an extremely high student-teacher ratio. The purpose of this paper is to compare the educational performance of 28 Indian states in order to identify those which require immediate attention.

For fulfilling this objective, a multi-criteria decision-making (MCDM) framework utilizing preference ranking organization method for enrichment of evaluations and geometrical analysis for interactive aid methods is adopted.

The results indicate that the educational performance of Goa is the best amongst all the considered alternative states, while Bihar is the laggard in this direction.

From the results, the states which fare to be the worst can easily be identified along with the specific areas/criteria, where they are falling behind. Based on these findings, necessary remedial actions can be undertaken so as to improve the educational performance of the ailing states.

This paper employs a novel geographic information system (GIS) method and a hue-saturation-value color coding scheme in order to determine the influence of individual criterion on the overall state rank, thereby representing an integration of MCDM and GIS which has never been applied before for educational performance evaluation.

The case on Moodcafe captures the journey of the start-up and its entrepreneurs from the beginning till the fund-raising stage. The case brings forth critical decisions that each entrepreneur or the team of co-founders have to address during their start-up journey. This short case gives opportunity to delve into two aspects mainly a) As a founder, which investor should one choose for seeking funds and what should be the terms and conditions of investment? and b) How can one review and assess the business model of a start-up?

Scholars are increasingly focusing on the adverse effects of digitization on human lives in personal and professional contexts. Cyberloafing is one such effect and digitization-related workplace behavior that has garnered attention in both academic and mainstream media. However, the existing literature is fragmented and needs to be consolidated to generate a comprehensive and contemporary overview of cyberloafing research and map its current intellectual boundaries. The purpose of this paper is to shed some light on systematic literature review (SLR) in cyberloafing and cyberslacking in the workplace.

A SLR is conducted to assimilate the existing research. A total of 87 studies selected through a robust protocol are analyzed through content analysis.

A total of four thematic research areas and inherent gaps are identified, including conceptualization, operationalization, antecedents and stakeholders and consequences. Results are used to assimilate thematic gaps and potential research questions (RQs) to be addressed by future scholars. To advance cyberloafing research, the authors propose a theoretically grounded comprehensive framework based on the SLR findings.

Our study's novelty rests in its state-of-the-art synthesis of cyberloafing research, which encompasses a broader scope than prior SLRs. Furthermore, developing a theoretically grounded comprehensive framework for advancing future research is a unique contribution of this study.

The study directs attention to the psychological conditions experienced and knowledge management practices leveraged by faculty in higher education institutes (HEIs) to cope with the shift to emergency remote teaching caused by the COVID-19 pandemic. By focusing attention on faculty experiences during this transition, this study aims to examine an under-investigated effect of the pandemic in the Indian context.

Interpretative phenomenological analysis is used to analyze the data gathered in two waves through 40 in-depth interviews with 20 faculty members based in India over a year. The data were analyzed deductively using Kahn’s framework of engagement and robust coding protocols.

Eight subthemes across three psychological conditions (meaningfulness, availability and safety) were developed to discourse faculty experiences and challenges with emergency remote teaching related to their learning, identity, leveraged resources and support received from their employing educational institutes. The findings also present the coping strategies and knowledge management-related practices that the faculty used to adjust to each discussed challenge.

The study uses a longitudinal design and phenomenology as the analytical method, which offers a significant methodological contribution to the extant literature. Further, the study’s use of Kahn’s model to examine the faculty members’ transitions to emergency remote teaching in India offers novel insights into the COVID-19 pandemic’s effect on educational institutes in an under-investigated context.

Ethereum-based blockchain technology (EBT) affords members of the Enterprise Ethereum Alliance (EEA) a market advantage in deploying blockchain within their organizations, including cybersecurity and operational benefits, that leads firms to strategically invest in this nascent technology. However, the impact of such strategic investments in EBT has yet to be explored in the context of its relationship to firm value. Therefore, this study explores EBT-specific firm-level characteristics that result in a stock market reaction to announcements of strategic investments.

The authors use the event study methodology, strategic investment literature and signaling theory as contextualizing frameworks for their study. Additionally, the authors explore a new method for examining technology investments as a strategic counter to cybersecurity threats.

Firms that signal to the market their strong commitment to their strategic investment by developing an EBT proof of concept see significantly higher market returns. Firms that have had prior cybersecurity incidents are rewarded by the market for strategically investing in EBT, and when firms with large undistributed free cash flows utilize this cash for strategic EBT investment, the market is more likely to reward these firms, indicating the market views EBT investment positively in these circumstances.

The results of this study provide new evidence of the value impact of EBT for firms that suffered cybersecurity events in the past. The authors provide empirical evidence of firm-level characteristics that investors use to discern whether a strategic investment in EBT will drive organizational value. Likewise, the authors demonstrate how signaling affects investor perceptions of strategic information technology (IT) investments in EBT.

Mental health legislation codifies and consolidates fundamental principles, values, goals, objectives and mental health policy. Such legislation is essential to guarantee that the dignity of patients is preserved and that their fundamental rights are protected. This article considers legislation in south Asia, specifically the Mental Health Act in India, and argues that the act has shortcomings that serve as a barrier to mental health services. The authors argue for a modern mental health law that gives priority to protecting the rights of people with mental disorder, promotes development of community‐based care and improves access.

The success and survival of any form of online community relies on the presence and active participation of its users. Hence, ensuring active user participation and retaining existing users is a key concern of the moderators of online communities. To address these challenges, the purpose of this paper is to investigate the epistemic, emotional, and social values that influence users’ intention to continue using an online social media brand community. Moreover, the study also investigates the differences in the influence of the investigated constructs and users’ various activity levels.

This study utilized the consumption value theory framework for testing the relationship between different measures. An empirical analysis of the consumption values of 577 users in an online social media brand community was accomplished using structural equation modeling.

The study findings revealed that emotional and social values exert partial influence in predicting users’ intention to continue using online social media brand communities. In particular, social enhancement and playfulness predict users’ continuation intentions. Moreover, the results show that the influence of the investigated constructs (except playfulness) is consistent across users with various activity levels in online social media brand communities.

These findings pave the way for further theoretical and practical considerations of the role of consumption values in resolving challenges of user participation and retention. However, there are still some open gaps concerning the generalizability of the findings as well as other factors that could potentially influence the user intentions. Future studies should validate the findings by recruiting diverse users in terms of their age and cultural background.

The study findings are of special relevance for the service operators interested in practicing user-centric innovation. Moreover, the findings can help online social media brand community managers to kick start user-centric innovation activities in their community.

The study provides a novel perspective on the challenges of assessing users’ consumption behavior. The perceived values have been conceptualized using the constructs of social influence, problem solving, playfulness, social enhancement, and social interaction.