Assunta Di Vaio, Badar Latif, Nuwan Gunarathne, Manjul Gupta and Idiano D'Adamo
In this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management…
Abstract
Purpose
In this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management (SCM). The study aims to provide a comprehensive overview of artificial knowledge and digitalization as key enablers of the improvement of SCM accountability and sustainable performance towards the UN 2030 Agenda.
Design/methodology/approach
Using the SCOPUS database and Google Scholar, the authors analyzed 135 English-language publications from 1990 to 2022 to chart the pattern of knowledge production and dissemination in the literature. The data were collected, reviewed and peer-reviewed before conducting bibliometric analysis and a systematic literature review to support future research agenda.
Findings
The results highlight that artificial knowledge and digitalization are linked to the UN 2030 Agenda. The analysis further identifies the main issues in achieving sustainable and resilient SCM business models. Based on the results, the authors develop a conceptual framework for artificial knowledge and digitalization in SCM to increase accountability and sustainable performance, especially in times of sudden crises when business resilience is imperative.
Research limitations/implications
The study results add to the extant literature by examining artificial knowledge and digitalization from the resilience theory perspective. The authors suggest that different strategic perspectives significantly promote resilience for SCM digitization and sustainable development. Notably, fostering diverse peer exchange relationships can help stimulate peer knowledge and act as a palliative mechanism that builds digital knowledge to strengthen and drive future possibilities.
Practical implications
This research offers valuable guidance to supply chain practitioners, managers and policymakers in re-thinking, re-formulating and re-shaping organizational processes to meet the UN 2030 Agenda, mainly by introducing artificial knowledge in digital transformation training and education programs. In doing so, firms should focus not simply on digital transformation but also on cultural transformation to enhance SCM accountability and sustainable performance in resilient business models.
Originality/value
This study is, to the authors' best knowledge, among the first to conceptualize artificial knowledge and digitalization issues in SCM. It further integrates resilience theory with institutional theory, legitimacy theory and stakeholder theory as the theoretical foundations of artificial knowledge in SCM, based on firms' responsibility to fulfill the sustainable development goals under the UN's 2030 Agenda.
Details
Keywords
Takawira Munyaradzi Ndofirepi, Tinashe Chuchu, Eugine Maziriri and Brighton Nyagadza
The market for counterfeit goods worldwide has continued to grow significantly over the years, attracting the curiosity of researchers in the marketing field. This study aimed to…
Abstract
Purpose
The market for counterfeit goods worldwide has continued to grow significantly over the years, attracting the curiosity of researchers in the marketing field. This study aimed to analyse the influence of price-quality inference and attitudes towards economic rewards of purchasing counterfeit products on the intentions to purchase non-deceptive counterfeit products.
Design/methodology/approach
The research adopted a quantitative methodology and utilised the cross-sectional survey method to collect data from a sample of 381 respondents comprising university students. The data was then analysed using the computer software Smart PLS 4.
Findings
The results established that the respondents’ price-quality inference of counterfeit products was positively associated with the attitudes towards economic rewards of purchasing counterfeit products and intention to purchase counterfeit products. Furthermore, the study revealed that attitudes towards economic rewards of purchasing counterfeit products partially mediated the influence of price-quality inference on customer intention to acquire non-deceptive counterfeit goods. A multigroup analysis of the proposed relationship did not find any statistically significant differences in the pattern of results concerning the gender groups.
Research limitations/implications
The significance of the study findings is hampered by the singular focus on university students as a reference point for young people’s perceptions of counterfeit goods in South Africa. The study, however, presents verifiable evidence that marketers and brand managers of genuine products may utilise to develop intervention measures to sway young African consumers away from counterfeits and towards genuine brands.
Originality/value
This is one of the few studies in the literature that addresses young adults’ deliberate purchasing of non-deceptive counterfeits in South Africa, an important consumer market in Africa.