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The role of HQ in the contemporary MNC has recently received a good deal of research attention. This article argues that the contemporary MNC requires an organizational model that can embrace different perspectives of the HQ role. The same HQ must at times hierarchically lead the firm and at other times assume a more passive, facilitative role that allows direct interaction and decision making among the subunits to coordinate interdependency within the firm. To achieve this integration, the article proposes a contingency model that specifies when the HQ should assume a hierarchical role and when it should assume a facilitative role.

The entrepreneurs’ ability to identify opportunities can lead to wealth creation and competitive advantage. Often, however, opportunities that are innovative may defy up-front analysis suggesting that the entrepreneurs may have had somewhat inaccurate perceptions and need to refine their ideas after the ventures are started. This paper therefore focuses on mitigating the negative impact of early misperceptions through the use of learning-oriented information processing systems to refine opportunities post starting a venture. Specifically, it suggests that an experienced and heterogeneous top management team and a decentralized, organic structure enhance the system's ability to gain knowledge from acting on early misperceptions and may even form the basis for a distinctive capability that leads to competitive advantage.

Understanding the impact of diversity on group process and performance has been the focus of much research, yet there are still unanswered questions about how diversity impacts group process and performance. One factor that is clearly a consequence of group composition is affective tone. In this chapter, we discuss the impact of diversity and homogeneity on affective responses from group members and argue that the relatively negative affective tone experienced in diverse groups may fuel more systematic information processing and improve decision-making performance. The implications for managing both positive and negative affect in groups will be considered.

The belief-adjustment model has been an integral part of accounting research in belief revision, especially in the examination of order effects. Hogarth and Einhorn ((1992) Cognitive Psychology, 24, 1–55) created the belief-adjustment model to serve as a theoretical framework for studying individuals’ decision-making processes. The model examines several aspects of decision-making, such as encoding, response mode, and task factors. The purpose of this chapter is to provide a comprehensive examination of the accounting studies that have used the theoretical framework of the belief-adjustment model in auditing, tax, and financial accounting contexts. Roberts’ ((1998) Journal of the American Taxation Association, 20, 78–121) model of tax accountants’ decision-making is used as a guideline to organize the research into categories. By using Roberts’ categorization, we can better sort out the mixed results of some prior studies and also expand the review to include a more comprehensive look at the model and its application to accounting. While many variables have been examined with respect to their effect on accounting professionals’ belief revisions, most studies examine them in isolation and do not consider the interaction effects that these variables may have. Our framework also identifies areas of the belief-adjustment model that need further research.

Entrepreneurial opportunity (EO) identification pertains to the core processes of entrepreneurship and innovation. The initial phase of this process starts with individual cognition, which is why cognition has been established as a critical theoretical perspective.

Knowledge and new information have been confirmed as essential cognitive impact factors. However, it is not understood well, how individuals apply those factors and how they actually identify innovative and economically viable EOs. To address the limitations of current research, this chapter investigates the current literature on underlying cognitive processes of opportunity identification.

The literature analysis demonstrates that there is not a single cognitive process but rather a magnitude of different micro-mechanisms that are necessary for the successful identification of EOs. The findings are grouped to four categories of cognitive processes and entail their micro-mechanisms: pattern recognition, information processing, and creative thinking. Furthermore, the analysis reveals that those micro-mechanisms have seldom been related to each other within the scope of opportunity identification. This chapter closes this gap by discussing and contrasting and the different process categories and respective micro-mechanisms and suggests an integrative theory development and avenues for future research.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.