Search results

This chapter offers a complementary view to the “quality of knowledge” perspective whereby citations to academic articles are a result of efficient market processes. The chapter suggests that any academic research can be seen through the prism of two types of knowledge networks – production and usage. Author(s) of papers are located in these two networks and their absolute and relative position in these networks can help the diffusion of the focal research. The hypotheses are tested on a dataset of 1,085 papers published in the top five management journals between 1993 and 1997. Results suggest that controlling for attributes of a paper, the position occupied by author(s) in the usage networks and production networks contributes substantially to future citations received by a paper in these five journals. However, under conditions of extreme prominence in the usage network, increases in prominence in the production network dampen increase in future citations. Similarly under conditions of extreme prominence in the production network, increases in prominence in the usage network dampen increase in future citations. Implications of these results are discussed in the context of knowledge creation, dissemination, and recognition efforts of authors.

Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on the policy agenda of many advanced nations. Measures that promote these developments include national capacity building in science and technology, the formation of technology transfer systems, and the establishment of industrial clusters. What these templates often overlook is an analysis of use. This chapter aims to increase the understanding of the processes that embed new solutions in structures from an industrial network perspective. The chapter describes an empirical study of high-technology industrialization in Taiwan that the researcher conducts to this end. The study shows that the Taiwanese industrial model is oversimplified and omits several important factors in the development of new industries. This study bases its findings on the notions that resource combination occurs in different time and space, the new always builds on existing resource structures, and the users are important as active participants in development processes.

Creative industries, such as the designer fashion industry (DFI), are among the toughest in which to establish sustainable business ventures. While studies have examined how networks and social capital contribute to independent DFI start-ups and why such businesses fail, these studies have been largely restricted to well-established entrepreneurial spaces like London, which differ in structure and size compared to emerging DFI entrepreneurial spaces in small economies like New Zealand. This chapter addresses this gap in the creative enterprise literature by presenting findings from an examination of 12 New Zealand fashion designers’ accounts of their responses to start-up challenges. The analysis, which paid particular attention to the relationship between social capital and reported strategic practice, revealed that the designers’ challenge profiles and strategic responses were linked to very ‘biographical’ personal networks and their personal enterprise orientations. While those designers with well-established networks started the most resilient businesses, the analysis revealed that even these designers were not necessarily particularly strategic when tapping into the social capital embedded in their networks. Overall, the findings provide further confirmation of the importance of social capital and network management during start-up. Most significantly, they demonstrate why designers need to be forward looking and employ a strategic approach to developing and accessing social capital and when making business decisions. Those who did so were more likely to have viable ventures than those who accessed social capital in order to react to unanticipated challenges.

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.

Following Philip Selznick’s lead in using pragmatist social science to understand issues of public concern we conducted a study of failed innovation in the commercial construction industry (CCI). We find that social heuristics – collectively constructed and maintained interpretive decision-making frames – significantly shape economic and non-economic decision-making practices. Social heuristics are the outcome of industry-based “institutionalization processes” and are widely held and commonly relied on in CCI to reduce uncertainty endemic to decision-making; they provide actors with both a priori and ex post facto justifications for economic decisions that appear socially rational to industry co-participants. In the CCI – a project-centered production network – social heuristics as shared institutions sustain network-based social order but in so doing discourage novel technologies and impede innovation. Social heuristics are actor-level constructs that reflect macro-level institutional arrangements and networked production relations. The concept of social heuristics offers the promise of developing a genuinely social theory of individual economic choice and action that is historically informed, contextually situated, and neither psychologically nor structurally reductionist.

Despite the seminal works of authors like Bartlett, Ghoshal, Nohria, Doz, Williamson, among others, because they focused on mature multinationals, newcomers in international markets find scarce information about the design and implementation of international operations networks. In this paper we analyze the internationalization process of Brazilian and Chinese firms to understand the evolution of their networks, a process influenced by factors inexistent in studies about developed country multinationals, namely global production networks (GPNs) and country-of-origin effects. The key characteristics of their international operations networks seem to be well described by a stage-based approach where emerging country multinationals start as local optimizers and then evolve by taking different strategic positions within the GPN to which they are connected. That upgrading is possible when the implementation of the international operations network reaches a certain level of maturity.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

Purpose – Addresses labor control in fields where familiar organizational and occupational controls are weak, notably postindustrial arenas characterized by networks, heterogeneity, and change.Methodology/approach – Proposes that labor control operates via socio-technical networks composed of diverse ties to social actors, technologies, and typifications. Data from an interview-based study of early website production work is used to examine the impact of such a network.Findings – Socio-technical networks constrained web workers#x02019; actions but also offered opportunities for autonomous discretion. Some shifting between networked and hierarchical controls occurred in larger organizations.Research implications/limitations – The role of networks in the labor process is not well understood; this study provides a starting point.Social implications – Socio-technical networks are heterogeneous and lack common status metrics, making inequality among workers difficult to gauge and address. Further, since networked controls are decentralized, their pressures are not easily identified or resisted by workers.Originality/value – This chapter describes a form of labor control that may characterize some postindustrial fields more closely than traditional models. In addition, it contributes new insights on how work is shaped by technical networks and abstract typifications.