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Small-scale farmers are highly heterogeneous with regard to their types of farming, levels of technology adoption, degree of commercialization and many other factors. Such heterogeneous types, respectively groups of small-scale farming systems require different forms of government interventions. This paper applies a machine learning approach to analyze the typologies of small-scale farmers in South Africa based on a wide range of objective variables regarding their personal, farm and context characteristics, which support an effective, target-group-specific design and communication of policies.

A cluster analysis is performed based on a comprehensive quantitative and qualitative survey among 212 small-scale farmers, which was conducted in 2019 in the Limpopo Province of South Africa. An unsupervised machine learning approach, namely Partitioning Around Medoids (PAM), is applied to the survey data. Subsequently, the farmers' risk perceptions between the different clusters are analyzed and compared.

According to the results of the cluster analysis, the small-scale farmers of the investigated sample can be grouped into four types: subsistence-oriented farmers, semi-subsistence livestock-oriented farmers, semi-subsistence crop-oriented farmers and market-oriented farmers. The subsequently analyzed risk perceptions and attitudes differ considerably between these types.

This is the first typologisation of small-scale farmers based on a comprehensive collection of quantitative and qualitative variables, which can all be considered in the analysis through the application of an unsupervised machine learning approach, namely PAM. Such typologisation is a pre-requisite for the design of more target-group-specific and suitable policy interventions.

The purpose of this study is to compare measurement scales of sports fans’ motivations applied to women’s football.

A survey research approach was used to collect 574 valid responses from participants in Brazil and the USA. Three prominent scales – Sport Interest Inventory (SII), Sport Fan Motivation Scale (SFMS) and Motivation Scale for Sport Consumption (MSSC) are were compared using the structural equation modeling technique.

The results indicate that the SII scale demonstrates superior predictive power for variables such as “purchase intention,” “electronic word of mouth,” “identification as a fan” and “interest in women’s football” compared to the SFMS and MSSC scales. The primary motivation among followers and spectators of women’s football in the study was “supporting women’s opportunities” in sport.

While the study is grounded in the most relevant scales pertinent to the theme, the limited academic production on the subject hinders direct comparisons with prior research.

Leveraging the insights from the SII scale, football team managers can refine their marketing strategies by understanding the primary motivations driving women’s football consumption. This knowledge can inform targeted efforts to enhance women’s football consumption, subsequently expanding opportunities for women in the sport.

This study provides valuable information that can inform initiatives aimed at boosting women’s soccer consumption, thereby contributing to increased opportunities for women in the sport.

To the best of the authors’ knowledge, this study represents the first attempt to compare scales in the specific context of women’s soccer, contributing with a unique perspective to the development of women’s sports.

The purpose of this study is to explore the process of scaling second-hand fashion and how different strategic paths develop over time. This is theoretically grounded in two distinct scaling logics synthesised from the literature: a process that includes strategies for organisational growth (breadth-scaling) and a process that influences change in formal and informal institutions (depth-scaling).

The paper presents a process-based study based on the growth of a second-hand fashion retail organisation over 20 years. Qualitative materials such as interviews, observations and documents were collected and analysed.

The findings illustrate how a circular business model (CBM) can make use of a mix of strategies aiming for both organisational growth and impacting practices and habits within the fashion industry. Strategies building on breadth-scaling logic are found to be a prerequisite for engaging with depth-scaling strategies since they contribute to necessary resources and confidence, while depth-scaling secures future scaling opportunities by changing the conditions for scale.

The study contributes to the relatively scant literature on the process of scaling CBMs by exploring how different strategic paths unfold over time. The process-based approach, in combination with the two scaling logics, gives new insights into how CBMs go from niche to mainstream and thus influence the transition to a circular economy (CE).

The importance of sustainable development has become increasingly significant in today’s fast-paced world. The 17 sustainable development goals (SDGs) aim to solve a range of environmental, economic and social challenges, which requires global collaboration among governments and private organisations. In light of this, social entrepreneurship has garnered significant attention as it combines the social purpose of non-profits with the market-driven approach of for-profits to address SDG goals. Yet the cognitive processes underpinning the career decisions of social entrepreneurs remain underexplored. This study aims to develop and validate a scale to measure social entrepreneurial career decisions based on the appraisal of perceived challenges.

The study followed the steps of tool development and was carried out in three phases: item analysis, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

The final 20-item scale focuses on the appraisal components in pre-entry social entrepreneurial career decision-making and has four factors, which are relevance, coping potential, knowledge and resources and normative significance.

The study contributes to the literature on entrepreneurial cognition, specifically focusing on social entrepreneurship. The scale could guide model testing and quantitative research in social entrepreneurial cognition. The four-dimensional structure identified in the study may also have implications for researchers interested in the antecedents and effects of social entrepreneurial decision-making.

Accurate measurement of cognitive appraisal is necessary to understand the perceived challenges and thought processes of potential social entrepreneurs. The scale could be used to examine the cognitive appraisal patterns among students. Social entrepreneurship educators and policymakers can use the scale to design and assess educational programs.

Distinct from existing studies, this scale offers a multidimensional approach that captures the stages of career decision-making, providing a robust tool to enhance our understanding of the decision-making dynamics in social entrepreneurship.

This aims to explore the relationship between the agile methods barriers in large-scale contexts and the benefits for business, team and product and process, exploring the organizational readiness (OR) mediating role.

We propose a theoretical model through survey-based research, applying partial least square structural equation modelling.

We confirmed that OR mediating effect on the relationship between agile methods barriers and team benefits. We operationalized OR in a broader context that embeds the strategic alignment of large-scale agile implementation, considering variables such as organizational structure and culture.

The data are cross-sectional rather than longitudinal, which limits temporal interpretations of the associations between agile methods and organizational issues.

The findings offer a way forward for organizations already using or planning to implement agile management to understand the pathway towards achieving the expected benefits. Our study also unveils the importance of looking at OR when implementing such a complex change in management from traditional to large-scale contexts.

Our results show the significant and positive influence of agile method on all three benefit variables (team, business, product and processes). Furthermore, we identified the significant and positive mediating role of OR on the relationship between agile method and team benefits.

The complexity of contemporary societal challenges in emerging countries reanimates the necessity of collective action to resolve them. What is required is system change, namely, transformations in policy, practice, power relationships, market dynamics and social customs that underlie social and environmental issues. Technological innovations, paired with intentional social changes, might play a transformative role in this effort. This paper aims to investigate the relationship between the adoption of technologies in social enterprises (SEs) and their contribution to achieving system change. It also addresses the effects of their hybrid nature on this relationship.

The analysis relied on data collected through a survey of the global population of Ashoka fellows, which is largely based in emerging economies. Three models were developed concerning different pathways to achieve system change identified in the theoretical framework. These were tested using Probit regressions.

The investigation confirms that technology can support SEs in navigating complex pathways to achieve system change rather than merely enabling linear scaling operational strategies. The pursuit of economic value creation, in conjunction with a social mission, decreases the ability of SEs to achieve system change. This is because the scaling paths which hardly create revenues are neglected.

The study conceptualises a multifaceted model of system change. It tests the framework empirically to show that SEs can adopt technologies to unleash complex system change processes to generate societal impact, on top of merely demonstrating linear approaches to scaling or replication. The paper questions the capacity of SEs to facilitate system change without appropriate financial support and the inherent tensions between hybridity and the depth of system change dynamics.

This study aims to develop and validate a measure for conspicuous compensatory consumption. Compensatory consumption phenomenon is gaining increased significance in consumer behavior literature. In a symbolic-rich culture, the use of possessions creates a perfect venue for self-construction and self-repairing to make up for one’s psychological deficiencies and inadequacies.

A mixed research design of qualitative and quantitative methodologies is adopted by using elicitation techniques, interviews and survey data. Extensive development and validation procedures are used. A series of studies, encompassing a total sample of 1,782, are reported.

The current study offers a valid and reliable measure for conspicuous compensatory consumption by chronologically following the stages of the scale development process. Compensatory consumption had a negative influence on subjective happiness and a positive influence on negative affect and satisfaction with life. Respondents with high materialism scores had significantly higher compensatory tendencies than the low materialism group. The low self-compassionate group had significantly higher compensatory tendencies than the high self-compassionate group.

The current study provides theoretical contributions to consumer behavior research by providing a valid and reliable measure for conspicuous compensatory consumption. Contrary to past scales that followed a mood-alleviation perspective where therapeutic shopping is used to regulate negative emotions, this scale is novel in adopting a self-completion approach where products are pursued for a tactical effort to offset threatened self-concepts.

Sustainable urban rail transit requires noise barriers. However, these barriers’ durability varies due to the differing aerodynamic impacts they experience. The purpose of this paper is to investigate the aerodynamic discrepancies of trains when they meet within two types of rectangular noise barriers: fully enclosed (FERNB) and semi-enclosed with vertical plates (SERNBVB). The research also considers the sensitivity of the scale ratio in these scenarios.

A 1:16 scaled moving model test analyzed spatiotemporal patterns and discrepancies in aerodynamic pressures during train meetings. Three-dimensional computational fluid dynamics models, with scale ratios of 1:1, 1:8 and 1:16, used the improved delayed detached eddy simulation turbulence model and slip grid technique. Comparing scale ratios on aerodynamic pressure discrepancies between the two types of noise barriers and revealing the flow field mechanism were done. The goal is to establish the relationship between aerodynamic pressure at scale and in full scale.

The aerodynamic pressure on SERNBVB is influenced by the train’s head and tail waves, whereas for FERNB, it is affected by pressure wave and head-tail waves. Notably, SERNBVB's aerodynamic pressure is more sensitive to changes in scale ratio. As the scale ratio decreases, the aerodynamic pressure on the noise barrier gradually increases.

A train-meeting moving model test is conducted within the noise barrier. Comparison of aerodynamic discrepancies during train meets between two types of rectangular noise barriers and the relationship between the scale and the full scale are established considering the modeling scale ratio.

Competition in the modern, knowledge-based economy is utterly pendant on innovation, rendering it indispensable in virtually every organisation. Knowledge workers, therefore, must remain vigilant, spanning novel ways to innovate. Given the relevance of innovation orientation (IO) in knowledge work, it is imperative to possess an extensive understanding of the concept. Therefore, this study aims to develop and validate a measurement scale to gauge employees’ IO.

Considering that the instruments now in existence exhibit insufficiency for measuring knowledge workers’ IO in its entirety, the mixed-method approach used in this study draws on both qualitative and quantitative findings across various studies, to address this problem. This study has been organised into five stages: item generation, scale purification, scale refinement, nomological validation and generalizability.

This study establishes and verifies a second-order, reflective–reflective IO measure founded on multiple samples, encompassing the dimensions of creative orientation, learning orientation, first-mover orientation, trust orientation and agility orientation. The resultant IO scale serves as a robust and reliable tool that is capable of being leveraged to explain, assess and enhance IO for knowledge workers.

The rigorous methodology used in this scale development procedure serves as a benchmark for prospective scale development methodologists. From a managerial stance, this study serves managers/leaders concerning how to foster an innovation-oriented work environment to uncover employees’ hidden innovators. Organisations can leverage this study to discover, cultivate and capitalise on knowledge workers’ IO.

Although there exists an abundance of research on IO viewed from an institutional standpoint, research centred on the IO of knowledge workers is scarce. To bridge this gap, this study has developed and validated a scale for measuring knowledge workers’ IO.

This study aims to develop and validate the scales on the dark side of internal communication (IC) that capture a more nuanced perception of ineffectiveness, manipulation and miscommunication from the employee perspective. This study also examines this scale's effects on employee outcomes (such as employee loyalty and quiet quitting).

The authors developed the dark side of the IC scale through qualitative interviews and a review of relevant literature. Statistical techniques such as exploratory and confirmatory factor analysis, convergent validity and nomological validity were performed on the newly produced scales. The authors also examined the predictive validity effects of these scales on employee loyalty and quiet quitting using participants from Hungary.

The scale development resulted in a 15-item measuring three dimensions of the dark side of IC. After several statistical examinations, the scale exhibited robust psychometric properties and is reliable and valid.

This study empirically supported the new phenomenon of studying the dark side of IC, and the scale can be used to measure employee outcomes, the effectiveness of organizational communication, etc.