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The purpose of this paper is to find theoretical and practical linkages between social capital, network and community participation. The study examines the role of popular social capital and its forms in shaping community participation under the influence of socioeconomic status of individuals.

The paper uses household survey data (N = 135) from select north Indian villages to assess the role of social capital and individuals’ networks (measured through their network size) in participation. The participation is measured in terms of attendance and vocal participation.

The study finds significant evidence that the networks do not play a uniform role in collective participation. The elitist form of social capital exists in the community which can leverage the networks to their benefit, whereas many people, despite large network size, cannot actively participate. Social capital and networks are not entirely conducive for collective participation and favours a few in the community. Additionally, networks do facilitate information flow but do not help in achieving active engagement. Hence, the peer effect is not truly reflected in vocal participation all the time, especially in local governance context.

The conclusion of the study is based on small sample size from seven villages. Nonetheless, in light of the supporting literature available, it provides useful insights and triggers important questions that need microscopic analysis under the macroscopic umbrella of social capital.

On policy fronts, takeaway from this paper can be used for policy and law formulation for lower strata of the society such as labour law formulation and labour behavioural practices in community participation.

The research findings can be utilized for the emerging applications of social networks in understanding local governance and community engagement in developing societies.

This research has used a novel field experiment conducted by one of the authors himself. The empirical assessment of social capital and networks in local governance can be replicated elsewhere to study participation in other societies as well. In terms of policy, the research underscores the need of using social capital notion while assessing the community engagement in local governance.

The purpose of this paper is to empirically examine the inequality perpetuated through social categories in accessing the social capital generated through the microfinance interventions in India as the country has pronounced economic inequality by social categories like many developing stratified societies.

The study uses survey data collected from 75 villages in rural India and tests whether the formation and maximization of social capital through self-help groups (SHGs) is dominated by social categories, e.g. high-caste groups, males and superior occupation classes. Using logistic regression framework, the study assesses the formation and maximization of social capital through multiple SHG membership.

The paper finds that the microfinance approach of empowering weaker sections is considerably limited in its success, in the sense that it provides them with the opportunity to the credit access and support through SHGs. But, the empirical model further indicates that social capital in form of these SHGs may fall prey to the dominant social categories, and thus, these institutions may potentially enhance inequality.

The paper is derived from the secondary data set, so it is unable to comment field reality qualitatively.

Microfinance policy makers will have an improved understanding of inherent social inequalities while implementing group-based programs in socially stratified societies.

Social capital, if treated as an outcome accumulated in form of groups, provides with an important framework to assess the unequal access through the microfinance interventions. Overlooking the inherent unequal access will deceive the purpose of social justice in the group-based interventions. The microfinance and other welfare policies engaged in group formation and generating the social capital need to be more sensitive to the disadvantageous sections while focusing on multiple group access by disadvantaged social groups.

This research presents a study on the supply chain process of an Indian apparel industry considering various parameters involved. The study aims to identify the main parameters to improve the supply chain process and develop a comprehensive structural relationship to rank them to streamline the apparel supply chain process and business environment.

The team of five experts from this apparel industry was made to give scores to multiple parameters. The TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) technique is used to develop the model for eleven key parameters and then rank them.

Based on the data analysis the planning, customer and warehouse storage have emerged as top three key parameters while the non-replenishment approach, push and pull strategy and manufacturing of the product are identified as the bottom three parameters from a hierarchy level. These parameters have been ranked based on their contributing attributes in this apparel supply chain process.

The study provides an overall ranking of parameters and the implications are in the direction of helping the industry to improve its supply chain performances rather than focus only on productivity. Further, the key parameters are identified as critical inputs and show that the firms are being more proactive and well prepared comprised of the industry.

The study indicates that the key parameters are identified by this apparel brand to improve its supply chain process. The key supply chain process involves planning, manufacturing, distribution, end customer and returns logistics of the goods, etc. So, this research also provides the focused parameters on the supply chain performance received by end customer from the supplier and rank them for effectiveness and improve their overall organizational performance. It also provides a critical observation of their supply chain process improvement which includes different brand uses, strategies and approaches.