PurposeThis article intends to explore critical factors that affect the adoption of organic farming in emerging economies. The authors respond to the calls from policymakers, non-government organizations, business firms and scholars to improve the farmers' awareness of the negative impact of synthetic chemical pesticides, phosphorus, potassium fertilizers and mineral nitrogen used in traditional farming.Design/methodology/approachThrough self-administered survey questionnaires, responses were obtained from 397 farmers (conventional) regarding organic farming adoption in Haryana (India). The survey responses were collected between October 2022 and December 2022. The authors apply the “partial least squares structural equation modeling” (PLS-SEM) to test the framed hypotheses.FindingsThe present article demonstrates six critical determinants of organic farming adoption, i.e. behavioral, cultivation, economic, governmental, marketing, and social factors. These six factors drive 71.0% (R2) variation in organic farming adoption. Governmental factors have a positive but insignificant influence on organic farming adoption. Interestingly, the impact of behavioral and cultivation factors is crucial per path coefficient values.Originality/valueFor the first time, the authors conducted a study on organic farming adoption in Haryana that lies in its context-specific implementation, utilization of localized knowledge and expertise, regional policy support, agricultural diversification and community participation. Future research can build upon by adding agriculture scientists to the study to respond to the cost, quality of the crop and impact of socio-economic policies as moderators/mediators on adoption decisions.
This study provides a systematic literature review on the balanced scorecard (BSC), highlights gaps in the literature and identifies areas for further research. We review a sample of 114 BSC articles published in 14 accounting and 56 management journals between 1992 and 2021. Each article must either be in the Australian Business Deans Council (ABDC), Scopus-indexed or Academic Journal Guide (AJG) list, or receive at least 100 citations, as reported by Google Scholar. We separate the BSC literature into 11 major themes, examine the research methods, statistical tools used and identify the country affiliated with the authors. Companies typically use the BSC as a performance measurement system instead of a management control system. The BSC is more compatible with private versus public sector organizations. Successful implementation of the BSC requires support from the top management and effective communication and coordination. Additionally, a cause-and-effect relationship should exist among its four perspectives—customers, internal business, innovation and learning, and financial. BSC’s critics question its superiority over other performance measurement tools. But the number of supporters is much higher than the opponents. Articles mainly focus on developed, not developing, countries and tend to be conceptual papers rather than data-based empirical studies. The most commonly used statistical tool used is regression analysis. Our review of BSC articles provides insights about BSC strategy, implementation, execution and control that should be of interest to researchers and managers. However, this qualitative study uses judgment to identify BSC themes.
The current study uses a systematic literature review to summarize and highlight studies on overconfidence bias in investment decision-making. More specifically, the study synthesizes the overconfidence literature highlighting the year of publication, country of the published articles, research methods, data sources, prominent theories, statistical techniques, citation analysis of the popular articles and authors and future research topics. The authors study 111 documents indexed in Scopus and/or Web of Science databases to recognize research trends regarding overconfidence bias during the last 29 years (1995–2023). The results indicate that most (61.26%) selected studies are empirical. Likewise, secondary data-based articles dominate primary ones. Additionally, the resulting factors can be classified into four themes: the construct of overconfidence bias and investments; success: a cause of overconfidence; gender and overconfidence; and the consequences of overconfidence. To the authors’ best knowledge, this is a unique article in which research outcomes of essential aspects of overconfidence are skimmed systematically.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.