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The purpose of this study is to examine how the adoption of blockchain technology can improve organizational sustainability and what are the contributions of morality, ethics and governance in this scenario.

This study has used different literature and theories to build a successful theoretical model and then validated it using the partial least squares structural equation modeling approach. Various statistical modeling analyses have been performed to test the robustness of the proposed model, which is found to be effective and unique as it has a high explanatory power.

This study has found that adoption of blockchain technology can improve the sustainability performance of organizations. It has also highlighted that organizational sustainability will be further enhanced if the underlying algorithms of blockchain technology are transparent to make the applications moral and ethical. This study has further demonstrated that appropriate governance of blockchain technology can support the organizations to enhance their sustainability performance.

This study demonstrates the importance of an organization’s governance over blockchain technology and its impact on sustainability. The study provides valuable input to practitioners and policy makers regarding blockchain technology and its governance models. Also, the study provides valuable recommendations to leaders and managers of organizations on how to successfully adopt blockchain technology.

This study presents a unique theoretical model to explain the influence of the adoption of blockchain technology and an organization’s sustainability. The study also adds value to the overall body of literature in the areas of ethics, governance and blockchain technology along with sustainability.

This research mainly aims to test the impact of two leadership styles (ethical and servant leadership) on employee creativity; and to determine whether organizational citizenship behavior (OCB) mediates the relationships between them.

The paper relied on a quantitative research approach with a sample of 213 staff from public universities in the United Arab Emirates. In this paper, the partial least square approach (PLS-SEM) was employed in order to verify the proposed hypotheses.

The outcomes confirmed that OCB has a positive impact on employee creativity. Additionally, the findings indicated that ethical leadership positively affected OCB and employee creativity. It was also confirmed that servant leadership has a significant positive impact on OCB and employee creativity. Finally, the findings revealed that OCB fully mediates the linkages among servant and ethical leadership and employee creativity.

This paper acknowledges the existing gaps in the prior literature, and enables us to understand clearly about the significance of ethical as well as servant leadership in affecting employee creativity via OCB as a mediator.

The purpose of this paper is to measure the academic motives of faculty in higher education to understand the pattern of relationships between work motivation scale (WMS) and technological pedagogical content knowledge (TPACK).

The research adopts regression analysis to help model the data collected from 63 faculty members from India. The empirical study investigated the relationship of intrinsic motivation (IntrM), integrated motivation (InteM), identified motivation (IdenM), introjected motivation (IntrjM), external regulation motivation (ExtR) and amotivation (Amot) with each of technological knowledge (TK), (pedagogical knowledge (PK), content knowledge (CK) and TPACK.

Optimal functioning among faculty was due to “InteM” followed by “IntrM” and “IdenM” that yielded most positive consequence (mean values>3.9). “ExtR” and “Amot” were the negative outcomes that would be counterproductive and result in employee dejection (Mean values<3.1). The results proved that all TPACK variables were positively related to “IntrM” – a self-determined motivation. Additionally, “TK” and “PK’ were positively related to “IntrjM” – a behavior that is regulated by self-esteem and self-worth; “TPACK” depicted positive relationship with “IntrjM” and negative correlation with “IdenM.”

The study supported the fact that TPACK and WMS when analyzed together can create better engagement models among the faculty for an enriching learner experience interaction. Furthermore, it would help identify specific strategies on teacher development training programs through the integration of technology.

The study is original and seeks to inspect the relationship between TPACK and WMS among faculty of higher education in Indian business schools.

Electric cars have very little market share in developing countries despite their environmental benefits. Thus, governments have started promoting electric cars by providing financial incentives to consumers. The current article aims to examine the direct and indirect effects of government financial incentives on consumer electric car adoption in India.

The study followed a quantitative research method that employed a self-administered survey questionnaire. Structural Equation Modelling and Multi-Group Analysis were followed for data analysis.

The study revealed that financial incentives have an indirect effect on electric car adoption intention rather than a direct effect. In addition, financial incentives were found to have a direct effect on attitude and Perceived Behavioural Control (PBC). Attitude and PBC positively influenced consumer adoption intention.

The insights and implications from the present study would help policymakers and marketers to formulate better incentive policies and market strategies to increase consumer acceptance of electric cars in developing countries.

The study contributes to the literature by analysing the underlying mechanism that links government financial incentives to electric car adoption intention. This study also explored the direct effect of financial incentives on attitude and PBC, which are less investigated in electric vehicle literature. In addition, the present article also assessed the moderating role of age in electric car adoption, which has mixed evidence in the literature, and such studies are scarce in the Indian context.

Evaluation of the extent of transformability of an existing system into an industry 4.0 (I4.0) compatible system is indispensable for both the technical and economic planning for implementing I4.0. This paper aims to propose a procedure to evaluate the transformability of an existing manufacturing system into an I4.0 system.

Six significant components of a manufacturing system and their five levels of modifications essential for the decision of transformation are identified. Based on expert opinion on facilitation and the impact of the transformation of one component on the transformation of others, a graph theory-based procedure for estimation of transformability index (TI) along with its relative and threshold values is proposed.

The paper introduced the concept of transformability into manufacturing systems. It proposed a simple procedure for calculating the ideal, relative and threshold value for TI to assess the suitability of the up-gradation of any manufacturing system into the I4.0 system.

Though the proposed procedure is based on six system components and their five levels of facilitation, it is quite versatile and able to integrate new components and different facilitation levels according to system requirements for their impact analysis in the transformation process. It can be extended to other domains like services and health care. Further, it can be used to estimate and establish the transformability criteria of a factory/service unit/industry from its current state to any regime.

The proposed method for deducing the TI, relative transformability index (RTI) and their threshold values would be a handy tool for decision-makers to assess the upgrading suitability of the entire manufacturing system and its component for use in the new regime or scrapping. It would provide mathematical and scientific support to the transformability decisions by assessing the influence of transforming one component to others and the system. This study would pave the way for further explorations in the domain of transformability.

In the light of available literature and best of the author’s knowledge, this study is the first of its kind that has applied the concept of transformability of existing manufacturing systems toward I4.0 compatible systems and proposed a procedure to estimate TI, RTI and their threshold values.

The purpose of this paper is to identify and analyze the challenges associated with the implementation of the concept of Maintenance 4.0 in industries.

The challenges in the implementation of Maintenance 4.0 are identified through a literature survey and interaction with professionals from the industry and academia. A structural hierarchy framework that integrates the methodologies of ISM and MICMAC is used for the analysis of Maintenance 4.0 implementation challenges. The framework establishes the interrelationship among challenges and segregates them into driving, linkage, dependent and autonomous groups.

A novel concept of Maintenance 4.0 under the aegis of Industry 4.0 is gaining appreciation worldwide. However, there are challenges in the adaptation of Maintenance 4.0 concepts among industries. The various challenges as well as their impact on the objective of implementation of Maintenance 4.0 are identified.

The practicing engineers, academicians, researchers and the concerned industries can infer from the results to improve upon the causes of such challenges and promote the implementation of Maintenance 4.0 most efficiently and effectively.

This paper is a novel, unique and first of its kind that addresses the most contemporary challenges in the implementation of Maintenance 4.0 concepts in industries.

The increase in automobile usage across the world has fortified the opportunities of maintenance service garages. However, there are significant numbers of challenges in front of maintenance service providers at all stages of the business. This paper identifies, analyzes and prioritizes various challenges associated with the establishment and survival of garages specific to Indian context.

In this paper, challenges for automotive service garage are identified through expert opinion, garage survey and literature. A structural hierarchical framework of the identified challenges is established through structural models, including interpretive structural modeling and analytic hierarchy process.

This paper has identified nine challenges, namely proliferation of new models and variants; technological advancements in automobile systems; demand of better service quality; space and ambience requirements; labor requirements; requirement of modern support equipments, tools and spares; safety requirements and prevention of occupational hazards; environmental norms and concerns; proper documentation requirements. The drivers and dependent variables have been identified. A hierarchical framework of challenges has been established.

This paper provides a comprehensive list of challenges and their priority in establishing an automobile maintenance garage business in Indian context. This will help the budding entrepreneurs and existing maintenance organizations to focus on the challenges that necessitate immediate attention and corrective actions.

This paper provides a significant contribution in the literature of garage maintenance services, which is established on the viewpoint of different collaborators associated with this business. This study will be a foundation to investigate further in this domain.

The most critical phase of a change process is change implementation and it is evident that the masterfully originated change process fails due to its poor implementation. Therefore, the purpose of this paper is to profile how knowledge management (KM) strategies, personalization and codification, are helpful in successful change implementation by reducing employee cynicism and increasing the level of readiness for change.

Data were collected from 196 executives of National Bank of Pakistan at Time 1 (pre-implementation) and Time 2 (post-implementation) with the temporal research design. Multiple regression analysis is used to test the direct effect; Preacher and Hayes (2004) test is applied to measure the mediating effect and guidelines of Aguinis (2004) are followed for analyzing the moderating effect.

The result of the direct effect shows that both KM strategies have significant positive effect on successful change implementation. Further, mediation analysis proves that readiness for change partially mediates between KM strategies and successful change implementation. In addition, partial interactive effects of employee cynicism is observed between readiness for change and successful change implementation.

The management should initiate steps to boost personalization and codification strategies at their optimal levels. This would ultimately be helpful to implement a successful change through developing readiness for change and reducing the employee cynicism regarding change.

The area of successful change implementation in the context of KM strategies was untapped, and is examined in this study.

Knowledge sharing (KS) helps employees learn from errors, but not much research has highlighted how sharing practices develop and take place in networked organizations. This study aims to explore how the professionals in a service triad develop and execute KS practices to learn from error.

A case study approach was adopted that focused on professionals working in a US-based company that was part of a health insurance service triad. The organization (“CaseCo”) processed the insurance claims filed by hospitals and doctors. The authors gathered qualitative data by conducting nine focus group discussions (FGDs) among CaseCo’s professionals. The FGDs involved a total of 51 professionals (17 women and 34 men) working in three centres of CaseCo in India.

The analyses revealed that error-related knowledge sharing (ERKS) practices emerge in a professional service triad (PST) through a culture of situated learning. They occur in ways that involves the use of repositories on the one hand, and connections between individuals on the other, both within and across the PST’s organizations. Such practices represent a dynamic system of knowledge stocks and flows in the PST.

To the best of authors’ knowledge, this is the first study that brings to the fore how ERKS practices develop and are executed in a professional organization in a triadic network structure.

Centralization, which indicates distribution of decision-making power in organizations, is well-discussed in innovation literature as one of the influencing factors of innovation implementation. Motivated by a gap in enterprise resource planning (ERP) research, the purpose of this paper is to investigate the influence of centralization on the success of ERP implementation.

Centralization is characterized twofold: policy-related centralization (PRC) and work-related centralization (WRC). ERP implementation success is captured in terms of user acceptance and the use of the ERP system. Using organizational innovation theory, six hypotheses relating centralization, ERP implementation success, and organization size are built and tested using data gathered from 51 Indian organizations that implemented ERP. The data are analyzed using partial least squares-structural equation modeling.

User acceptance is significantly inhibited by PRC. WRC has a negative influence on use. The negative influence of PRC on acceptance is more pronounced in the case of larger organizations. On the whole, a decentralized set-up is favorable to ERP implementation success.

The study highlights the impact of a centralized management structure on success of ERP implementation and in doing so, it demarcates the varied influence of two types of centralization. It contributes to the scarce research on ERP implementation using the strong theoretical basis of organizational innovation. The findings highlight the implications of centralization to the implementation outcomes, for organizations embarking upon ERP.