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Purpose – This paper is intended to test for the model of commodities export performance (EP) in Aceh Province, Indonesia.

Design/Methodology/Approach – This research will focus on approach model of firms competency variable, customer relation, foreign environmental factor, and moderating variable of export competitive strategy which aims to improve firm performance in the export context.

Findings – The research framework models will give a new perspective to export activities conducted by exporting commodities in an emergent nation such as Indonesia and more specifically in Aceh.

Originality/Value – The improvement of EP.

In recent years, both academics and institutions have acknowledged the crucial role multinational enterprises (MNEs) can play in addressing the sustainability challenges, as formalized by the sustainable development goals (SDGs). Nevertheless, because of their extensiveness and their design as country-level targets, SDGs have proven challenging to operationalize at a firm level. This problem opens new and relevant avenues for research in international business (IB). This chapter attempts to frame the topic of extended value chain sustainability in the IB literature. In particular, it addresses a specific topic, that is, how sustainability and resilience-building practices interact in global value chains (GVCs). To do so, the present study develops the case of STMicroelectronics (ST), one of the biggest semiconductor companies worldwide.

This chapter highlights how implementing circular economy principles can help companies working with sustainability to move from a reductionist and waste management approach to marketing competitive circular value propositions that intentionally design out waste (e.g. emissions and pollution) by rethinking, reinventing and redesigning the value chain. Schijvens, a Dutch family-owned corporate fashion textile company, acts as a case for exemplifying successful implementation of circular economy principles as a marketing strategy in a sector that struggles with finding solutions to the ethical challenges of producing and marketing textile fashion. The textile industry has, for many years, been accused of production that is based on environmentally harmful processes and conditions that are not socially fair. Circular economy principles provide a range of suggestions to address the ethical challenges occurring from covering the human needs of having clothes to wear. Yet, implementing circular economy principles is not a panacea. It is not only a question of delivering a technological quick fix but also a question of managing the new processes and human mindset guiding the actions in the value chain. This chapter, therefore, outlines reasons for a different perspective on the traditional linear value chain and related implications managers face when undertaking a journey from sustainability based on a reductionist approach to a closed-loop approach. It is argued that implementing circular economy principles by pro-actively managing the value chain processes based on eco-centric dynamic capabilities can provide even more radical changes than the incremental reductionist approach often associated with being a green sustainable company.

Strategic partnerships and construction supply chain management are claimed to improve productivity through their capabilities of managing internal and external relations between stakeholders. Thus, this study aims to present an analysis of a major Danish contractor group’s efforts to increase performances by building trust and long-term relationships across stakeholders of complex building projects with use of these managerial initiatives.

Scrutinising the social reality of the group, neo-institutional theory provides the analytical lens of an interpretivist case study drawing on empirical data (i.e. interviews and observations) collected through one year of enrolment in the group.

Findings reveals that internal organisational circumstances negatively influence the efforts to implement logics of strategic partnerships and construction supply chain management. Nevertheless, we propose organisational practitioners to obtain the perspectives of hybridisation as a fruitful concept for creating productive interactions between otherwise distinct managerial logics.

The triangulation of the interpretivist data is limited to generalisations based on only one group operating in the Danish construction industry. However, the assumption is that critical implications of hybridity address generic issues across the industry.

Organisational practitioners should experiment with hybridity of managerial mechanisms and dynamics, which potentially can influence the construction industry positively by innovating the operational performances in the entire value chain.

The inquiry contributes to the puzzle of integrating strategic partnerships and construction supply chain management by rethinking dualism of logics generating alternatives of how hybridity can increase performance by combining various aspects of managerial initiatives.

Organizations across industries are increasingly using Artificial Intelligence (AI) systems to support their innovation processes, supply chains, marketing and sales and other business functions. Implementing AI, firms report efficiency gains from automation and enhanced decision-making thanks to more relevant, accurate and timely predictions. By exposing the benefits of digitizing everything, COVID-19 has only accelerated these processes. Recognizing the growing importance of AI and its pervasive impact, this chapter defines the “social value of AI” as the combined value derived from AI adoption by multiple stakeholders of an organization. To this end, we discuss the benefits and costs of AI for a business-to-business (B2B) firm and its internal, external and societal stakeholders. Being mindful of legal and ethical concerns, we expect the social value of AI to increase over time as the barriers for adoption go down, technology costs decrease, and more stakeholders capture the value from AI. We identify the contributions to the social value of AI, by highlighting the benefits of AI for different actors in the organization, business consumers, supply chain partners and society at large. This chapter also offers future research opportunities, as well as practical implications of the AI adoption by a variety of stakeholders.

Smart industry initiatives focus on intelligent and interconnected cyber-physical systems. These initiatives develop complex technical architectures that integrate heterogenous technologies, causing significant organizational complexity. Tapping into the digital capabilities of distant partners while capturing profit from such innovation is demanding. Furthermore, firms often need to establish and orchestrate inter-organizational collaborations without prior relations or established trust. As a result, smart industry initiatives bring together disparate organizational forms and institutional environments, distinctive knowledge bases, and geographically dispersed organizations. We conceptualize this organizational capability as ‘distant capabilities integration’. This research explores the governance mechanisms that support such integration and their relation to value capture. We analyse 11 IoT case studies organized in three categories (process, product and technologies) of smart industry initiatives. Building on existing literature, we consider different ways to describe distance, including knowledge heterogeneity and organizational, geographical, institutional, cultural and cognitive distance. Finally, we describe the governance mode appropriate for upstream (developing foundational technologies) and downstream (leveraging existing distant technologies) smart industry initiatives.

Identify what kind of research we need to reach extraordinary performance in value chains in construction projects.

Theory and qualitative case study (document study and interviews in the Bispevika project).

To change the collaborative game and transform the construction industry, there is a need for research on projects with extraordinary ambitions. The research needs to bridge from strategic level down into specific details in operations. We need contributions that do not follow the general tendency to limit perspectives and focus small, isolated questions. Research must be designed in a multidisciplinary fashion that includes aspects on all levels from individuals to across organisations in the project and even the industry itself. Research also needs to define a new “business model”. If not, research can become irrelevant rather than being a relevant partner producing knowledge and insights in the transformation of the construction industry.

For researchers, this result indicates that there is a need for more complex, interdisciplinary research to be able to cover both the strategic and fundamental levels.

The Bispevika project shows that both strategic direction and fundamental issues need attention and practical action.

The research raises important aspects of a research agenda for the industry. This paper argues how research can contribute with relevant insights and will help define a more ambitious research agenda where the construction industries’ challenges can become the catalyst for also transforming future research design.

The concept of circular economy (CE) has been receiving a lot of attention over the past years from academics, practitioners and policymakers. This is particularly the case for small- and medium-sized enterprises (SMEs) who find in CE a way to overcome their resource scarcity. However, little is known about how embracing the CE perspective can contribute to meet the sustainable development goals (SDGs). The present chapter aims at answering this question. Through a single case study, we explore the drivers, managerial practices and collaborations implemented by SMEs to generate economic, social and environmental values.

Cross-docking is a supply chain distribution and logistics strategy for which less-than-truckload shipments are consolidated into full-truckload shipments. Goods are stored up to a maximum of 24 hours in a cross-docking terminal. In this chapter, we build on the literature review by Ladier and Alpan (2016), who reviewed cross-docking research and conducted interviews with cross-docking managers to find research gaps and provide recommendations for future research. We conduct a systematic literature review, following the framework by Ladier and Alpan (2016), on cross-docking literature from 2015 up to 2020. We focus on papers that consider the intersection of research and industry, e.g., case studies or studies presenting real-world data. We investigate whether the research has changed according to the recommendations of Ladier and Alpan (2016). Additionally, we examine the adoption of Industry 4.0 practices in cross-docking research, e.g., related to features of the physical internet, the Internet of Things and cyber-physical systems in cross-docking methodologies or case studies. We conclude that only small adaptations have been done based on the recommendations of Ladier and Alpan (2016), but we see growing attention for Industry 4.0 concepts in cross-docking, especially for physical internet hubs.