Search results

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.

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.

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.

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.

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.

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.

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.

The purpose of this study is to clarify the findings and criticisms in the extant literature concerning the theory of consumption values (TCV) by conducting a meta-analysis to (1) examine the extent to which consumption values influence consumer behavior and (2) to explore contextual and methodological factors that may account for between-study variance in the focal relationship.

The study employs a random-effects model and psychometric meta-analysis approach to examine 82 studies with 297 effect sizes in 34 countries between 1991 and 2022, inclusive.

Results reveal that consumption values have a positive significant and moderate effect on consumer behavior. Moreover, emotional value is the most influential predictor of consumer behavior, while social value is the weakest. Furthermore, the study's findings show that some contextual and methodological factors moderate the relationship between consumption values and consumer behavior.

The findings highlight that managers can work on consumption values to prompt positive consumer responses like attitude, intention, satisfaction and overall value perception. However, managers must consider that the relevance of the consumption values depends significantly on the outcome variable and the context, which calls for a tailored-made marketing strategy to appeal to consumers' diverse needs and wants.

Besides providing empirical evidence of the broad validity of the TCV, this study is the first meta-analytic review of the TCV, which integrates several insights to provide valuable research directions for future researchers and insightful implications for practitioners.

The study aims to provide a clear framework of steps on how to implement the balanced scorecard model at the level of measuring and managing local performance, with a mix between what theoretical approaches show in this matter and examples of applied experiences in different contexts.

The study relies on the case study approach, which was used to present pioneer experiences in the field of application of the model on local government's level, namely, in the USA, England and South Africa. This paper was done by reviewing the original balanced scorecard literature and writings regarding the public and local government sector. This literature formed the basis for analyzing the various sections of study.

Balanced scorecard is one of the important models for developing and measuring local performance. International experiences under study confirmed that application of the model requires the following: The availability of bureaucratic will at the local level to apply the model, necessity of capacity building of local government units to apply it, introduction of institutional and strategic changes to the local units to be able to build their own performance cards, as well as strengthening local information systems, and not standardizing the performance cards at the different local administrative units.

This study will be useful for scholars, policymakers and local executive leaders on ways to apply the balanced scorecards at the local government units.

Food safety knowledge and hygienic practices by food handlers play an important role in the prevention of contamination of food prepared.

This descriptive survey was conducted in Maseru around the taxi ranks amongst 48 food handlers and 93 consumers using a semi-structured questionnaire for assessing food handler knowledge, attitudes and practices, open-ended questionnaire for obtaining consumer perceptions and observation checklist.

Majority of the food handlers were females (60%) and males constituted only (40%). The mean age was 35.5 ± 10.3 and 28.2 ± 9.9 respectively for street vendors and consumers. There was a statistically significant difference in knowledge among the trained and untrained vendors (p = 0040). On average the vendor population that participated in this study was considered to have poor knowledge (scores < 50%) of food safety since they scored 49% ± 11, while 84% of the respondents were considered to have positive attitudes towards food safety. Only 6% of the consumers reported that they never buy street vended foods mainly due to the hygiene issues. The observation checklist showed that the vendors operated under unhygienic conditions and that there was scarcity of clean water supply and hand washing facilities.

This study provides knowledge that was previously unknown about food vending in Lesotho. It has significantly added to the body of knowledge on food safety in Lesotho which can be used to modify policies and structure food safety training for people involved in the informal trade.