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Sustainable practices are the modern-day necessities for organisations as the world is becoming highly dynamic. The purpose of this study is to examine the influence of sustainable training and creativity practices (STP and SCP) on organisational citizenship behaviour (OCB-individual and OCB-organisation) via the mediating role of psychological contract fulfilment (PCF).

A sample of 326 white-collar Indian service industry employees was collected. The data are analysed using structural equation modelling and random forest regression supervised learning (RFRSL).

The findings indicate that sustainable training practices (STP) had an indirect impact on organisational citizenship behaviour (OCB-I, OCB-O) via the mediating effect of transactional (T-PCF) and relational psychological contract fulfilment (R-PCF). In terms of sustainable creative practices (SCP), the impact on OCB-I was indirect due to T-PCF. In addition, R-PCF acts as a mediator between SCP and OCB-O. In the latter portion of the analysis, the RFRSL approach created a prediction model for T-PCF, R-PCF, OCB-I and OCB-O, with demographic characteristics such as industry experience, gender, age, etc. playing a constructive role.

The study conducts a combination of both traditional and newer technology (machine learning), resulting in highlighting the uniqueness of the relationship between variables and the role of demographic variables.

The complexity of citizenship behavior in organizations has long been a focus of research. Traditional methodologies have been predominantly used to address this complexity. This paper aims to tackle the problem using a cutting-edge technological tool: business process mining. The objective is to enhance citizenship behaviors by leveraging primary data collected from 326 white-collar employees in the Indian service industry.

The study focuses on two main processes: training and creativity, with the ultimate goal of fostering organizational citizenship behavior (OCB), both in its overall manifestation (OCB-O) and its individual components (OCB-I). Seven different machine learning algorithms were used: artificial neural, behavior, prediction network, linear discriminant classifier, K-nearest neighbor, support vector machine, extreme gradient boosting (XGBoost), random forest and naive Bayes. The approach involved mining the most effective path for predicting the outcome and automating the entire process to enhance efficiency and sustainability.

The study successfully predicted the OCB-O construct, demonstrating the effectiveness of the approach. An optimized path for prediction was identified, highlighting the potential for automation to streamline the process and improve accuracy. These findings suggest that leveraging automation can facilitate the prediction of behavioral constructs, enabling the customization of policies for future employees.

The findings have significant implications for organizations aiming to enhance citizenship behaviors among their employees. By leveraging advanced technological tools such as business process mining and machine learning algorithms, companies can develop more effective strategies for fostering desirable behaviors. Furthermore, the automation of these processes offers the potential to streamline operations, reduce manual effort and improve predictive accuracy.

This study contributes to the existing literature by offering a novel approach to addressing the complexity of citizenship behavior in organizations. By combining business process mining with machine learning techniques, a unique perspective is provided on how technological advancements can be leveraged to enhance organizational outcomes. Moreover, the findings underscore the value of automation in refining existing processes and developing models applicable to future employees, thus improving overall organizational efficiency and effectiveness.

Blockchain technology (BCT) is one of the latest disruptive innovations, brought along with-it immense scope of diverse applications contributing towards sustainable development (SD). The consistent increase in the publications reveal that the application of BCT for SD has become popular among researchers and practitioners in past few years, in turn, urged for a systematic literature review (SLR) to get an insight into the research journey travelled so far and setting directions for future research in this area. Therefore, this study aims to identify, map and synthesize the available literature on application of BCT for SD.

The automatic and manual search resulted into 1,277 studies from Scopus and Web of Science database. Further applying inclusion and exclusion criterion resulted in bringing out total of 157 studies, which were termed as primary studies. Based on the results of descriptive analysis, conducted through Bibliometric and VOSviewer software, the characteristics of BCT and its key capabilities, contributing towards shaping the recent SD literature, were critically examined. Identified research themes for clustering primary studies were aligned with United Nations Sustainability Development Goals (UNSDG). A mind-map was also prepared on the basis of thematic classification of primary studies.

The research themes “business practice and economic sustainability”, “agriculture and food security” and “business practice and environment sustainability” were found to be the focal points of scholarly attention. Synthesis and analysis of primary studies resulted into classification of research gaps under four categories – theoretical foundation, methodological limitation, research themes and technology implementation challenges. The study was concluded by sensitizing and sanitizing the concrete research questions for future research.

The research findings shall be a roadmap for research scholars, academicians and practitioners to comprehend the present state of knowledge in the domain of “BCT application for SD” and decide upon adopting the future course of action to attain the UNSDGs by the year 2030.

To the best of the authors’ knowledge, the current study is the first attempt in its own sense to analyse and synthesize the available literature on “attaining SD through BCT” using SLR approach.

The purpose of this study is to look at the multifaceted relationship mechanism between corporate social responsibility (CSR) and organizational performance (OP) via sustainability risk management (SRM) and organizational reputation (OR).

This research connects CSR to OP via SRM and OR. Based on a sample of 325 managers of multinational firms in India, a theoretical model was proposed and analyzed through sequential mediation regressions analysis.

The findings indicate that CSR is positively and appreciably associated with OP. Furthermore, SRM and OR have been found to have a sequentially mediating effect on the interrelationship between CSR and OP. The study recognizes that organizations with a proactive approach to CSR tend to manage sustainability risk more actively, which helps to improve OR and ultimately results in better OP.

The research advances understanding of the triple bottom line and offers a platform for building strategic and successful CSR policies by offering valuable insights on the link between CSR and OP.

This paper takes a critical look at the meaning of corporate social responsibility (CSR) based on the available literature on the subject matter. As CSR is an evolving concept both in meaning and practice, this study aims to highlight CSR actions of the world's six largest organizations (Google, Twitter, Amazon, Apple, ExxonMobil and Walmart). The purpose of choosing these organizations and their CSR adoption was to examine the business-society relationship and the role of key stakeholders in establishing this association.

This study examined CSR through the case study approach and provides valuable insights by showing that CSR is a connecting link between business and society. Specifically, the authors took a crucial look at various contentious, often ambiguous definitions, theoretical framework, brief historical development, issues and controversies surrounding it, the role of CSR in community development and summing it up with the future direction and managerial implications.

This study observed that there are some developmental strategies taking place today which are relevant to the issue at stake, such as: contributing to the world economy, corporations donating or engaging in a wide range of philanthropic gestures now than ever and contributing to the beauty of the society by meeting rising community expectations.

By analyzing the worlds' 6 largest companies' CSR initiatives, this study provides valuable insights by showing that CSR is a connecting link between business and society and is based on win-win collaborations between civil society, business, investors and government. These companies' CSR initiatives have been mostly unexplored in past studies.

The purpose of this paper is to provide trilogy in the emerging market for the establishment of business, economy and environment which is the new word for the development of any nation to attain sustainable development. This research explores the prospective crowdshipper's willingness to participate in crowdshipping services through a motivational factor.

To understand the trend and future of this concept, Google Trends Analysis (GTA) has been used. The theoretical model has been validated empirically using a survey of 287 Indian (Generation Y and Z) urban participants, but focused is on Generation “Z” participants and subsequent analysis have been carried out using structural equation modelling.

A theoretical framework has been developed connecting the various factions of the crowdsourcing process thus providing an overall view of the process strategy for logistics start-ups. This conceptual framework of sharing economy in emerging market can benefit the prospective suppliers and their target receivers. Particularly trust in crowdshipper plays a significant mediating role between subject factors and next generation user willingness to participate in crowdshipping services for sustainable last-mile delivery.

The present theoretical foundations and frameworks have been studied to get an idea of the main aspects of the field. It has the potential to provide the impetus for collaboration with the various stakeholders thus achieving the sustainable development process. The practical inference of this study is the usability in terms of the plugin application for e-retailer in emerging markets.