Factors influencing buying behavior of Lebanese consumers towards fashion brands during economic crisis: A qualitative study

The purpose of this article is to contribute to an understanding of the impact of the Lebanese economic crisis on fashion buying behavior. It uses a qualitative approach by conducting semi-structured interviews with 29 Lebanese consumers. The study reveals that consumer fashion purchases are motivated by emotional, social, and functional drivers. It also indicates that subjective norms, such as societal and cultural values dictate buying behaviors. The findings provide further insights into social media and highlight its influence on shaping trends and making fashion products desirable. The article concludes that Lebanese consumers exhibit impulsive buying behavior, and explains how fashion brands can remain relevant amidst a wrenching economic crisis.     

基于状态空间模型的政产学研资协同创新四螺旋影响因素实证研究

在三螺旋理论框架下，搭建政府、产业、大学、研究机构和资本部门四螺旋模型，运用文献归纳法选取多元主体协同创新6类影响因素，以主体间协同程度测度结果为因变量基础，利用状态空间模型动态分析这些因素影响方向、大小和趋势。实证结果表明，中国经济因素表现为促进作用持续提升；中国技术市场规模和创新产业规模表现为先抑制后促进，且促进作用不断提升；中国产品市场需求和创新投入表现为抑制作用持续提升；中国创新产出在时间上表现为促进作用先提升后下降并最终稳定的状态。最后，提出不同政策建议，以促进中国政产学研资协同创新体系后续发展。     

Solesolevaki as social capital: a tale of a village,two tribes,and a resort in Fiji

This paper advances understanding of the complex and adaptive nature of indigenous Fijian communities involved in tourism. It examines how tourism-related development has set the people of one Fijian village along two separate development pathways, and explores how preferential access to tourism benefits has created disparities within the community. Complex Adaptive Systems theory and Social Capital theory are used to conceptualise how over 40 years of tourism involvement has influenced development within an indigenous Fijian community. The findings argue that indigenous Fijian communities are non-homogeneous entities, which are constantly in transition, responding and adapting integratively to both internal and external changes over time. The findings show that the emergence of new behaviours and ways of life has led to the collapse of the pre-existing systems of social capital. As a response, community members retreated and regrouped, strengthening internal bonds and social capital in their smaller social units, leading to both dependency and opportunity-seeking behaviours among participants. Ultimately, the paper asserts that money alone does not lead to development, but rather tourism and access to a variety of capital do.     

The effect of mandatory CSR disclosure on firm profitability and social externalities: Evidence from China

We examine how mandatory disclosure of corporate social responsibility (CSR) impacts firm performance and social externalities. Our analysis exploits China's 2008 mandate requiring firms to disclose CSR activities, using a difference-in-differences design. Although the mandate does not require firms to spend on CSR, we find that mandatory CSR reporting firms experience a decrease in profitability subsequent to the mandate. In addition, the cities most impacted by the disclosure mandate experience a decrease in their industrial wastewater and SO₂ emission levels. These findings suggest that mandatory CSR disclosure alters firm behavior and generates positive externalities at the expense of shareholders.     

地区关系文化与企业创新

作为中国文化的重要组成部分，关系文化在制度改革进程中，促进了体制约束或资源匮乏背景下的企业创新行为。然而，浓重的地区关系文化犹如无形的制度牢笼，束缚着企业创新活动。利用中国内地120个城市工业企业数据，实证考察了地区关系文化对企业创新的影响。结果显示，地区关系文化对企业创新具有显著促进作用。随着地区关系文化的发展，企业创新活动将受到抑制，两者呈现显著倒“U”型关系。进一步研究表明，地区关系文化对企业创新的倒U型效应仅在规模较大的企业中显著；相较于国有企业，该效应在非国有企业样本中更显著；企业是否属于高技术行业则对两者关系无实质性影响。     

Reorganizing School Lunch for a More Just and Sustainable Food System in the US

Public school lunch programs in the United States are contested political terrains shaped by government agencies, civil society activists, and agri-food companies. The particular organization of these programs has consequences for public health, social justice, and ecological sustainability. This contribution draws on political economy, critical food studies, and feminist economics to analyze the US National School Lunch Program, one of the world's oldest and largest government-sponsored school lunch programs. It makes visible the social and environmental costs of the “heat-and-serve” economy, where widely used metrics consider only the speed and volume of service as productive work. This study demonstrates that such a narrow understanding of the labor of lunch devalues care and undercuts the potential for school food provisioning to promote ecological and feminist goals. Further, it proposes a “high road” alternative and outlines an agenda for reorganizing school food provisioning to maximize care in all its dimensions.     

Comparing automated text classification methods

Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., to detect communication shifts in sentiment or other researcher-defined content categories. Several methods have been proposed to automatically classify unstructured text. This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets covering major social media platforms, various sample sizes, and languages. So far, marketing research relies predominantly on support vector machines (SVM) and Linguistic Inquiry and Word Count (LIWC). Across all tasks we study, either random forest (RF) or naive Bayes (NB) performs best in terms of correctly uncovering human intuition. In particular, RF exhibits consistently high performance for three-class sentiment, NB for small samples sizes. SVM never outperform the remaining methods. All lexicon-based approaches, LIWC in particular, perform poorly compared with machine learning. In some applications, accuracies only slightly exceed chance. Since additional considerations of text classification choice are also in favor of NB and RF, our results suggest that marketing research can benefit from considering these alternatives.     

Persistence of Price–Cost Margin and Technical Efficiency in the Indonesian Food and Beverage Industry

Abstract

This research investigates the persistence of price–cost margin (PCM) and technical efficiency (TE) of firms and the relation between these two factors in 44 subsectors of the Indonesian food and beverage industry in the period 1980–2014. Data envelopment analysis with a bootstrapping approach is applied to estimate TE. An autoregressive model, accounting for endogeneity, is applied to estimate the persistence coefficients of PCM and TE. A cross-sectional regression model is also applied to estimate the relation between the persistence of the PCM and the persistence of TE. The results show that for these food and beverage firms, high PCM and low TE persist. Furthermore, the persistence of PCM negatively affects the persistence of TE in the industry.     

Does gender matter? The association between gender and the use of management control systems and performance measures

Literature shows that female (male) managers are more likely to adopt a transformational (transactional) leadership style, as well as make greater (lesser) use of information for decision-making. We draw on this research to investigate whether gender is related to a manager's use of management control systems (MCS) and performance measures. We surveyed the head of school of all schools across all Australian public universities. Our results indicate that females use MCS in an interactive manner to a greater extent than their male counterparts and make greater use of non-financial performance measures. We conclude with contributions to theory and practice.