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A Novartis social business in India completely separated the activities of its social and business units—the former engaging in raising the health awareness of villagers and encouraging them to visit free health camps, while the latter developed affordable medicine delivered directly to village pharmacies. Connections between these units were made through open and fluid market-type mechanisms, and by appealing to the needs and interests of villagers with incentives. This synchronized business model was developed partly because Novartis believed in villagers' self-initiated behavior for health improvements, which made it not interfere into marginalized institutions, and more significantly because it used its internalized control and coordination systems with clear goals of social contribution in operating the business unit. Consequently, Novartis achieved economies of scale, business sustainability, and social contribution.

Given the complexity of inclusive business (IB) to combine social contribution and business sustainability, companies make strategic choices. One multinational corporation (MNC) avoided interconnections with villagers and used only market-based relations with stimulants and incentives in the market. Another one delegated management completely to local partners, succeeding in stimulating the poor’s self-initiated economic activities. MNCs seem to have difficulties in handling institutional interconnections. In such cases, market-based relations or delegating management to the local partners were found to be highly effective for covering missing capabilities. One foreign NGO, despite its well-developed institutional interconnections with the locals, is struggling to develop markets for its social enterprises. In contrast, one local trust successfully cooperated with many local partners, appealing to local institutions (values and beliefs). Also, poor farmers felt the social contributions of two local companies by being incorporated into the companies’ supply chains backed by their corporate social responsibility (CSR) orientations and activities. Hence, both foreign and domestic organizations seem to succeed in IB by embedding their projects to their original institutions and developing diverse mechanisms to compensate for missing capabilities. One exception is a local company which successfully coordinated MNCs’ CSR activities, local communities, and governments. However, its success is owing to governmental regulation for CSR contribution. In general, though restricted by institutional backgrounds and business orientations, each case tried to create a fit between business models and its contingencies, achieve scale (at the level of communities, nations, or the global market) and business sustainability, and generate socioeconomic effects.

Based on the existing literature in the field of green supply chain management (GSCM), the purpose of this paper is to find essential to conceptualize and develop an efficient appraisement platform for the purpose of benchmarking green alternative in supply chain network.

The authors explored multiple approaches, i.e. Višekriterijumsko kompromisno rangiranje (VIKOR), simple additive weighting (SAW) and grey relational analysis (GRA) by amalgamating fuzzy sets theory to select the most appropriate alternative for GSCM. The work is supported by triangular fuzzy number sets to choose the green alternative industry among available industries, while dealing with the uncertainty and vagueness in GSCM. A case study is exposed to identify strong and weak indices and to exhibit the feasibility of the proposed work.

It is requisite by the managers of many firms to identify the strong and weak indices relating their firms. Thus, the authors presented an approach for measuring and appraising the performance of the selected green alternative by determining the strong and weak indices. The presented work illustrates the performance measurement model that identifies comprehensive GSCM practices of the firms. The presented work incorporates green supply chain activities to support environmental sustainability throughout the supply chain.

GSCM is necessary to the firms, as it considers impact onto the environment due to their supply chain activities. The authors build decision support system to facilitate the managers of various firms for modeling green practices in their decision making. The authors attempt to devise a conceptual framework linked with knowledge-based theory.

The authors conceptualized VIKOR, SAW and GRA methodology to rank and benchmark the green performance of distinguish alternative industries among available industries. Additionally, the performance measurement model for the selected significant green alternative is presented for determining the strong and weak indices.

Inclusive business (IB) is becoming increasingly important as a means to alleviate poverty and inequality in the world, one of the most significant goals set forth by the Sustainable Development Goals (SDGs). Many companies have been engaging in IB projects. Even so, why are only a limited number of projects reported to be successful? IB involves complex situations, since it tries to achieve contradictory goals of solving social issues and generating a decent level of profit for sustainability. This often requires partnering with social-issue-oriented organizations by developing cross-boundary cooperation, as well as the need to associate with local partners and the poor in developing countries, who have different institutional backgrounds from multinational corporation (MNC) managers in developed countries. IB clearly involves people with diverse institutional backgrounds to develop cooperative relations. The biggest cause of IB failures seems to be MNCs’ difficulties in overcoming institutional differences vis-à-vis local partners and the poor, and interconnecting different institutions among diverse partners in an IB project. By conducting case studies of seven relatively successful IB projects in India, Ghana, and Tanzania, this book explores answers as to how companies overcome institutional differences, interconnect diverse institutions, develop cross-boundary cooperation, and successfully fuse business and social goals, namely, how they develop institutional interconnections. This chapter also briefly introduces the book’s structure and presented cases.

Although trust is discussed widely in the literature, there are still discrepancies in the existing conceptualisations of the trust concept. These are usually either unidirectional or bi‐directional, and a limited or narrow approach is usually applied or taken into consideration. There is an apparent lack of mutual and simultaneous considerations beyond the dyadic business relationship. It is argued that an approach beyond dyadic business relationships is necessary to truly understand the trust between two actors in a marketing channel. In the first place, the trust in other upstream and downstream dyadic business relationships affects the trust in the dyad at focus. At the same time, the dyadic business relationship at focus is affected by upstream and downstream trust in other dyadic business relationships. Therefore, a generic model of the synchronised trust chain concept is introduced, as well as managerial implications and research proposals in the area.

This paper explores the emergence and coordination of synchrony in networked groups like those that develop integrated product platforms in collaborative ecosystems. While synchronized actions are an important objective for many groups, interorganizational network theory has yet to explore synchrony in depth perhaps because it does not fit the typical diffusion models this research relies upon. By adding organizationally realistic features – sparse network structure and intentional coordination – to the firefly model from theoretical biology, I take some first steps in understanding synchrony in organizational groups. Like diffusion, synchrony is more effective in denser networks, but unlike diffusion clustering decelerates synchrony’s emergence. Coordination by a few group members accelerates group-wide synchrony, and benefits the coordinating organizations with a higher likelihood that it converges to the coordinating organization’s preferred rhythm. This likelihood of convergence to an organization’s preferred rhythm – what I term synchrony performance – increases in denser networks, but is not dependent on tie strength and clustering.

The purpose of this paper is to propose and model collaboration and information exchange enabler strategies, designed to accomplish significant improvements in supply chain (SC) performance. Some of these improvements to the SC include the reduction of the bullwhip effect and increased customer and SC partner benefits. The authors propose a fully collaborative replenishment model. The study details the information flow required to implement new SC collaboration strategies, clarifying a specific strategy for information sharing involving inventory levels (on hand, in process, etc.), orders and demand forecast.

The authors suggest the adoption of business process modelling (BPM) methodology, aimed at identifying which information should be shared by SC partners, in order to create fully collaborative strategies.

The features of BPM allow for the effortless integration of the modelled information collaboration strategies into a general network information system, creating a flexible structure that can be quickly and even automatically adapted to new conditions.

In this paper, a serial SC has been analysed, but enterprises also commonly manage more complex kind of chains. Chains composed of more than one member in the same echelon, divergent chains, convergent chains, network chains are all different configurations that require their own algorithm. The authors use the order up to policy, but there are other policies that can be considered to extend the scope of the model.

BPM, specifically through Unified Modelling Language (UML) and Business Process Modelling Notation standards, represents a suitable technique to develop and implement new SC collaboration practices, serving as a communication link between managers and software developers.

The expected results of this work imply the proposal of a reference model for collaborative supply chain (CSC) organisations, contributing to the enhancement of value creation for the whole CSC.

The aim of this paper is to clarify the information-sharing algorithm required to implement a collaborative structure for an SC. This algorithm is expressed using the BPM technique, specifically UML and Business Process Model and Notation standards.

Este documento propone y modela estrategias de colaboración y habilitación de intercambio de información, diseñadas para lograr mejoras significativas en el rendimiento de la cadena de suministro (SC). Algunas de estas mejoras incluyen la reducción del efecto látigo y mayores beneficios para los clientes y socios de la cadena de suministro. Proponemos un modelo de reabastecimiento totalmente colaborativo. El estudio detalla el flujo de información requerido para implementar nuevas estrategias de colaboración en la cadena de suministro, aclarando una estrategia específica para el intercambio de información que involucra niveles de inventario (en mano, en proceso, etc.), pedidos y previsión de la demanda.

Sugerimos la adopción de la metodología de Modelado de Procesos de Negocio, dirigida a identificar qué información debe ser compartida por los socios de la cadena de suministro, a fin de crear estrategias totalmente colaborativas.

las características del Modelado de Procesos de Negocio permiten la integración, sin un excesivo esfuerzo, de las estrategias de colaboración modeladas en un sistema de información general, creando una estructura flexible que puede adaptarse rápida e incluso automáticamente a las nuevas condiciones.

en este documento, se ha analizado una cadena de suministro en serie, sin embargo las empresas también suelen administrar cadenas más complejas. Cadenas compuestas de más de un miembro en el mismo escalón, cadenas divergentes, cadenas convergentes, cadenas de red, son todas configuraciones diferentes que requieren su propio algoritmo. Igualmente, en este artículo usamos la política de pedido “order up to” aunque también existen otras políticas que se pueden considerar para ampliar el alcance del modelo.

el modelado de procesos BPM, específicamente a través del Lenguaje Unificado de Modelado (UML) y estándares para la notación de Modelado de Procesos de Negocio (BPMN), representa una técnica adecuada para desarrollar e implementar nuevas prácticas de colaboración de cadena de suministro, que sirve como un enlace de comunicación entre los gerentes y los desarrolladores de software.

los resultados esperados de este trabajo implican la propuesta de un modelo de referencia para la colaboración de las organizaciones de la cadena de suministro, contribuyendo a la mejora de la creación de valor para toda la cadena de suministro colaborativa.

el objetivo de este documento es aclarar el algoritmo de intercambio de información requerido para implementar una estructura colaborativa para una cadena de suministro. Este algoritmo se expresa utilizando la técnica BPM, específicamente a través de los estándares UML y BPMN.

The purpose of this paper is to examine the impact of national culture on herding behavior across international financial markets.

The relation between national culture and investor behavior, and how it impacts overall market volatility is studied by examining synchronized stock price movements and stock market volatility in 47 countries around the world over the period of January 2003–May 2012.

The author finds that nations with lower values of individualistic culture are more likely to have a higher number of synchronized stock price movements. Further, the correlation between stock price movements apparently increases stock market volatility. Nations with high individualistic culture have a lower number of synchronized stock price movements and, thus, have lower levels of stock market volatility. The positive relationship between synchronized stock price movements and stock market volatility is stronger for emerging markets during the financial crisis from June 2007 to December 2008.

The empirical results in this paper indicate that a portion of the difference in market level volatility is attributed to the investor bias of different cultures. Investor behavior bias creates excess volatility that drives stock prices away from fundamentals. This impact is strong in nations with lower individualistic culture. The result from this research could also have a wide implication in the investment industry.