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This study primarily explores the influence of green warehousing, logistics optimization and social values and ethics on supply chain sustainability and economic performance. The study further examines the mediating role of supply chain sustainability between economic performance and green warehousing, logistics optimization and social values and ethics.

The study employs a quantitative research approach where survey data are collected from 200 managers of manufacturing companies in Ghana. The dataset is analyzed using partial least square structural equation modeling software (PLS-SEM) SmartPLS 3.

The results show that green warehousing and logistics optimization negatively influence economic performance but improves economic performance through supply chain sustainability. It is further discovered that social values and ethics have a positive influence on supply chain sustainability and economic performance.

This paper proposes and tests a theoretical model that explores the relationships between green warehousing, supply chain sustainability, economic performance, logistics optimization and social values and ethics through the resource dependency theory (RDT) in the manufacturing firms in Ghana.

The purpose of this paper is to respond to the call of international marketing professionals for more studies on strategies that firms use in response to the complexities of interacting with other institutions in the emerging markets (EMs) of sub-Saharan Africa. The key research question investigated by employing the exploratory qualitative data gathered is: What strategies and global alliances do small local firms (SLFs) in Nigeria adopt to succeed under complex market conditions?

The methodology employed is exploratory qualitative research. The authors conducted extended interviews to generate rich case study data from the top management of the selected SLFs in Nigeria. The interview data were assessed using open, axial and selective coding to uncover macro-narratives that guide SLFs’ strategies and global alliances.

The macro-narratives derived from the qualitative case analysis reveal a theoretical framework centered on three major elements of competitive strategies in Nigeria: build global capacity and strategic alliances from the get-go; develop local strategic alliances; master matching alliance partners’ needs to create innovative payment plans and, when necessary, shift the transaction cost burden to alliance partners. Matching theory rather than traditional network theories is better at explicating SLFs’ alliances in Nigeria. Implementation of these strategies requires flexible strategic initiatives.

The study adapts institutional interaction theory, network theory, matching alliance perspective, trade credit theories and the literature on small firms’ strategies in EMs to explicate successful small local firm strategies and global alliances under complex market conditions in Nigeria. The recognition that SLFs regularly migrate and shift the burden of transactions’ cost to multiple stakeholders in the supply network by matching customers and supplier needs is important. The discovery of matching theory in explicating SLFs’ global alliances in Nigeria is unique to this study.

Since the opening of China (aka, reform and opening-up), a great number of rural residents have migrated to large cities in the past 40 years. Such a one-way population inflow to urban areas introduces nontrivial social conflicts between urban natives and migrant workers. This study aims to investigate the most discussed topics about migrant workers on Sina Weibo along with the corresponding sentiment divergence.

An exploratory-descriptive-explanatory research methodology is employed. The study explores the main topics on migrant workers discussed in social media via manual annotation. Subsequently, guided LDA, a semi-supervised topic modeling approach, is applied to describe the overall topical landscape. Finally, the authors verify their theoretical predictions with respect to the sentiment divergence pattern for each topic, using regression analysis.

The study identifies three most discussed topics on migrant workers, namely wage default, employment support and urban/rural development. The regression analysis reveals different diffusion patterns contingent on the nature of each topic. In particular, this study finds a positive association between urban/rural development and the sentiment divergence, while wage default exhibits an opposite relationship with sentiment divergence.

The authors combine unique characteristics of social media with well-established theories of social identity and framing, which are applied more to off-line contexts, to study a unique phenomenon of migrant workers in China. From a practical perspective, the results provide implications for the governance of urbanization-related social conflicts.