Adoption of Industry 4.0 technologies by organizations: a maturity levels perspective.

This study employs a structured literature analysis considering Industry 4.0 technologies and their adoption stages (intention, adoption, implementation, routinization, continuance, and diffusion). We identify the technology adoption stage for each technology type, which in turn supports a maturity level categorization, as well as future research suggestions and challenging open research questions.

What Makes You a Whistleblower? A Multi-Country Field Study on the Determinants of the Intention to Report Wrongdoing.

Unlabelled: Whistleblowers have significantly shaped the state of contemporary society; in this context, this research sheds light on a persistently neglected research area: what are the key determinants of whistleblowing within government agencies? Taking a unique methodological approach, we combine evidence from two pieces of fieldwork, conducted using both primary and secondary data from the US and Indonesia. In Study 1, we use a large-scale survey conducted by the US Merit Systems Protection Board (MSPB). Additional tests are conducted in Study 1, making comparisons between those who have and those who do not have whistleblowing experience.

Supply chain management during and post-COVID-19 pandemic: Mitigation strategies and practical lessons learned.

The COVID-19 pandemic has affected global supply chains at an unprecedented speed and scale. This paper investigates the supply chain challenges that manufacturing organizations have faced due to the COVID-19 outbreak, particularly in emerging economies. We present a conceptual framework under the dynamic capability theory to analyze challenges and their pertinent mitigation strategies.

The human side of humanitarian supply chains: a research agenda and systematization framework.

Humanitarian operations are increasingly receiving attention due to the numerous recent disasters and crises caused by both natural and man-made events, from mass human exodus to pandemics such as COVID-19. The successful management of humanitarian supply chains requires the effective use of human resource practices, which in turn requires strong leadership in the so-called 'soft side' of management. This study aims to investigate the current status of research on the human aspects of humanitarian supply chains.

Social Media as a Form of Virtual Whistleblowing: Empirical Evidence for Elements of the Diamond Model.

This article originally advances the field of organizational whistleblowing by empirically investigating the suitability of the four elements of the fraud diamond as a means to understand the intention to disclose wrongdoing through virtual channels. This article also makes a contribution on the theme of whistleblowing as it relates to customers, an under-studied, however, relevant stakeholder in this field. The main findings of the article are as follows: (a) the four elements of the fraud diamond as they relate to whistleblowing-a combination of pressure, financial incentive, opportunity and rationalization, and capability-can explain the intentions behind customer reports of wrongdoing; (b) online social media channels are customers' preferred means of whistleblowing; (c) the elements of opportunity and capability are strongly correlated with the use of social media as a method of disclosing wrongdoing; and (d) virtual channels can be useful for whistleblowers in order to avoid potential retaliation.

Stakeholders, innovative business models for the circular economy and sustainable performance of firms in an emerging economy facing institutional voids.

The literature on the diffusion of the circular economy (CE) rarely provides empirical evidence from emerging economies that face institutional voids and sustainability paradoxes. In contrast, drawing on stakeholder theory, in this paper we test a research framework capable of capturing the imbricated and complex relations among stakeholder pressure, barriers to and motivators of the CE, circular business models, and firms' sustainable performance. Survey-based primary data was gathered from Brazilian industrial companies which lack regulatory clarity regarding the implementation of a CE.

'Too-much-of-a-good-thing'? The role of advanced eco-learning and contingency factors on the relationship between corporate environmental and financial performance.

Inspired by the natural-resource-based view (NRBV) theory, we attempt to shed light on a controversy which has been persistent over the last decade, concerning the relationship between corporate environmental performance (CEP) and corporate financial performance (CFP). Using the 'too-much-of-a-good-thing' (TMGT) concept, which suggests that "too much can be worse than too little," we link mixed results and consider the roles of advanced eco-learning and contingency factors in influencing the CEP-CFP relationship. Based on a sample composed of ISO 14001 certified companies in Indonesia, and analyzing the data using consistent Partial Least Squares (PLSc), we found that: the CEP-CFP relationship follows an inverted U-shape; advanced eco-learning is a significant predictor of the CEP-CFP relationship, meaning that organizations able to develop higher eco-learning capability will be better able to identify the ideal boundaries of investment in environmental performance without reducing their financial performance; and that contingency factors such as environmental strategy and firm size have a significant role in influencing the CEP-CFP relationship.

"There is no carnival without samba": Revealing barriers hampering biodiversity-based R&D and eco-design in Brazil.

Considering the unique relevance of Brazilian biodiversity, this research aims to investigate the main barriers to biodiversity-based R&D and eco-design development in a leading national company which has been commended for its innovation and sustainability. The methodology for this research was based on on-location visits, in-depth interviews, and consensus building among R&D, sustainability, and quality managers. A multi-criteria decision-making (MCDM) approach was adopted through interpretive structural modelling (ISM), a method that assists decision makers to transform complex models with unclear data into structural models.