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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.

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.

India's agri-food industry is rapidly expanding to keep up with the country's growing population. With the help of the fourth Industrial Revolution (Industry 4.0), modernization is creating a new revolution in the agri-food sector. Its applications in the food supply chain as a supply chain 4.0 (SC 4.0) have made it convenient to deliver products efficiently from farms to consumers. The various technologies such as the internet of things (IoT), artificial intelligence (AI), big data analytics and blockchain, etc., have impacted emerging supply chains. But many challenges are perceived by stakeholders toward the adoption of SC 4.0 technologies in India. The authors identified the challenges of adopting SC 4.0 for the agri-food sector and used the Total Interpretive Structural Modeling (TISM) tool to analyze those challenges. Based on literature research, nine major issues were diagnosed and then simulated using expert opinion. Primary data were also gathered with the help of a questionnaire to identify the status of acceptance level of these technologies. This study highlights the importance of government support, availability of sources of funds, customer orientation toward food safety, the commitment of management toward modernization, aware and well trained and motivated employees are a few of the major factors impacting the adoption of SC 4.0 technologies.

The aim of this chapter is to investigate the transformations undergone by dual marketers in their marketing strategies, with the advent of new digital tools. In particular, the chapter wants to emphasise the shift from a dual marketing perspective to the omnichannel approach, based on the integration of communication strategies between business-to-business (B2B) and business-to-consumer (B2C). To this end, the chapter first analyses the theoretical contribution of the integrated marketing communication paradigm in omnichannel marketing. Then, identifying the characteristics common to the B2B and B2C markets, it maps the use of touchpoints and digital content in the dual marketers' omnichannel strategies. Moreover, the role of online personalised marketing and big data analytics tools is illustrated in order to investigate the relationship between dual marketing and big data analytics towards Industry 4.0. Lastly, the dynamics and the perspectives emerged from the literature are traced within the case study of Unicredit Italia to try to bring out the best practices for an omnichannel strategy of dual marketers.

Purpose – Since the introduction of the concept of the balanced scorecard (BSC) in the early 1990s, researchers and practitioners have been discussing its impact on managerial and organizational performance. However, there are still few empirical results available in favor of the effectiveness of the BSC to justify its high rate of diffusion among companies. The central aim of this paper is to substantiate the claim for more empirical studies on performance implications of BSC use and to derive recommendations how to conduct such research effectively.

Approach – We review existing research on costs and benefits of the BSC in order to pinpoint to the necessity to do more large-scale empirical work on this topic. Moreover, we discuss important methodological challenges researchers are confronted with when analyzing performance consequences of the system.

Findings – Empirical studies have found both, evidence in favor and against the BSC by investigating specific elements constituting the system. However, no large-scale empirical evidence exists so far that unambiguously shows that companies using a fully developed BSC outperform non-users. We argue in the paper that this might be explainable by the holistic nature of the concept and particularly the methodological difficulties associated with analyzing its effects on performance.

Contribution – The paper is supposed to motivate researchers to conduct more large-sale empirical studies in the area and offers recommendations how to effectively design such studies. It emphasizes the opportunities structural equation modeling offers to investigate possible indirect effects and moderating effects stemming from the BSC.

The impetus for this paper was the recognition, based on recent surveys and our own experiences, that organizations face special challenges when designing and validating selection procedures for information technology (IT) workers. The history of the IT industry, the nature of IT work, and characteristics of IT workers converge to make the selection of IT workers uniquely challenging. In this paper, we identify these challenges and suggest means of addressing them. We show the advantages offered by the modern view of validation that endorses a wide spectrum of probative information relevant to establishing the job relatedness and business necessity of IT selection procedures. Finally, we identify the implications of these issues for industrial/organizational psychologists, human resource managers, and managers of IT workers.

Although COVID-19 has caused a global slowdown, the magnitude of GDP losses appears to vary across countries. This study considers the question: could digital finance help to mitigate the adverse impact of COVID-19 on GDP? Countries with higher levels of digital financial inclusion are found to experience less fall in GDP, whereas countries relying more on cash transactions experience a greater GDP decline. These results suggest that digital financial inclusion might play a key role in mitigating the adverse impact of COVID-19 on GDP.