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This study aims to explore how sustainable business models (SBM) can be developed within agri-innovation systems (AIS) and emphasize an integration of the two with a systemic understanding for reducing food loss and value loss in postharvest agri-food supply chain.

This study conducted longitudinal qualitative research in a developing country with food loss challenges in the postharvest supply chain. This study collected data through multiple rounds of fieldwork, interviews and focus groups over four years. Thematic analysis and “sensemaking” were used for inductive data analysis to generate rich contextual knowledge by drawing upon the lived realities of the agri-food supply chain actors.

First, this study finds that the value losses are varied in the supply chain, encompassing production value, intrinsic value, extrinsic value, market value, institutional value and future food value. This happens through two cumulative effects including multiplier losses, where losses in one model cascade into others, amplifying their impact and stacking losses, where the absence of data stacks or infrastructure pools hampers the realisation of food value. Thereafter, this study proposes four strategies for moving from the loss-incurring current business model to a networked SBM for mitigating losses. This emphasises the need to redefine ownership as stewardship, enable formal and informal beneficiary identification, strengthen value addition and build capacities for empowering communities to benefit from networked SBM with AIS initiatives. Finally, this study puts forth ten propositions for future research in aligning AIS with networked SBM.

This study contributes to understanding the interplay between AIS and SBM; emphasising the integration of the two to effectively address food loss challenges in the early stages of agri-food supply chains. The identified strategies and research propositions provide implications for researchers and practitioners seeking to accelerate sustainable practices for reducing food loss and waste in agri-food supply chains.

In a departure from the efficiency theory assumptions implicit in most supply chain risk management (SCRM) literature, this study aims to explore the role that external neo-institutional pressures play in shaping the risk management strategies deployed to mitigate transaction cost risks in construction supply chains (CSC).

A theory-elaborating case study is used to investigate how regulatory, normative and mimetic neo-institutional pressures underpin SCRM strategies in state-led and private-led CSC in China.

The study finds that institutionalized Confucianist networks serve as proxies for regulatory accountability and thereby create a form of dysmorphia in the regulatory, normative and mimetic drivers of SCRM strategies in state-led and private-led CSC in China.

The findings reveal that relational costs such as bargaining, transfer and monitoring costs underpin SCRM in state-led CSC. Behavioral costs associated with search, screening and enforcement are the core drivers of SCRM in private-led CSC. These differences in transaction cost drivers of SCRM arise from the risk-buffering effect of personalized Guanxi networks, creating variants of institutional pressures on actors' risk analysis, identification and treatment strategies in China. Considering China's global hegemony in construction and related industries, this study provides valuable insights for practitioners and researchers on the need for a constrained efficiency view of SCRM in global CSC.

The purpose of this paper is to investigate the mediating role of three important relational capabilities – absorptive capacity (AC), transactive memory systems (TMS), and organisational interoperability (OI); on the flexibility of buyer-supplier relationships and performance in retail supply chains. Drawing on the relational view of strategic management, the impact of relational capabilities on two forms of supply chain flexibility is examined – configuration flexibility (CF) for switching suppliers with minimal penalties, and planning and control flexibility (PCF) for altering supply schedules, quality, and delivery lead-time.

Strategic- and tactical-level managers from 211 retail stores in the UK were surveyed. The authors validated a measurement model with structural equation modelling and tested four hypotheses on the mediating role of relational capabilities on supply chain flexibility and retail performance, controlling for size, duration of relationship, and market segment.

Results showed that the three relational capabilities partially mediated the positive effect of CF and PCF on operational performance in big middle and niche retailers. Examining the interaction effect of the forms of flexibility on the relational capabilities and performance, the authors found positive interaction effects on TMS and OI but a non-significant effect on AC.

In addition to providing novel theoretical insights on supply chain flexibility, the findings have practical implications for supplier selection and buyer-supplier relationship management.

Overall, the study highlights the impacts of relational capabilities on adopted operational strategies such as flexibility, buyer-supplier relationships, and retail performance.

Drawing on the systems theory and the natural resource-based view, the purpose of this paper is to advance an integrated resource efficiency view (IREV) and derive a composite “integrated resource efficiency index” (IRE-index) for assessing the environmental, economic, and social resource efficiencies of production economies.

Using sub-national input-output data, the IRE-index builds on the human development index (HDI) and the OECD green growth indicators by including functions for environmental resource efficiency, energy, and material productivity. The study uses multiple regressions to examine and compare the IRE-index of 40 countries, including 34 OECD nations. The study further compares the IRE-index to similar composite indicators such as the human sustainable development index (HSDI) and the ecological footprint.

The IRE-index reveals a discrepancy between social development and resource efficiency in many of the world’s wealthiest production economies. Findings also show that material productivity has been the key driver for observed improvements in IRE over time. The index is a robust macro-level methodology for assessing resource efficiency and sustainability, with implications for production operations in global supply chains.

The IREV and IRE-index both contribute towards advancing green supply chain management and sustainability, and country-level resource efficiency accounting and reporting. The IRE-index is a useful composite for capturing aggregate environmental, economic, and social resource efficiencies of production economies. The paper clearly outlines the managerial, academic, and policy implications of the IREV and resulting index.

In response to calls for conceptual frameworks and generic theory building toward the advancement of sustainability in supply chain resource utilization and management, the purpose of this paper is to advance a circular framework for supply chain resource sustainability (SCRS), and a decision-support methodology for assessing SCRS against the backdrop of five foundational premises (FPs) deduced from the literature on resource sustainability.

Taking a conceptual theory-building approach, the paper advances a set of SCRS decision-support criteria for each of the theoretical premises advanced, and applies the theory of constraints to illustrate the conceptual and practical applications of the framework in SCRS decision making.

This study uses recent conceptualizations of supply chains as “complex adaptive systems” to provide a robust and novel frame and a set of decision rules with which to assess the interconnectedness of environmental, economic, and social capital of supply chain resources from pre-production to post-production.

The paper contributes to theory building in sustainability research, and the SCRS decision framework developed could be applied in tandem with existing quantitative hybrid life-cycle and input-output approaches to facilitate targeted resource sustainability assessments, with implications for research and practice.

The novel SCRS framework proposed serves as a template for evaluating SCRS and provides a decision-support methodology for assessing SCRS against the five theorized FPs.

Emerging markets play an important role in the global economy. However, a common feature of most emerging markets is that firms must operate in a resource-constrained environment. In emerging markets, global mindset is a necessary resource for firms’ global competitiveness. Although global mindset has been proven to improve export performance, the theoretical mechanism behind this relationship is less clear. Based on the resource-based on the resource-based view and capability-building perspective, this study developed a model linking global mindset, relational capability, bricolage capability, innovation, and export performance.

A survey was conducted to collect data from exporting firms in Taiwan. Subsequently, the data (n = 172) were analyzed using a partial least squares program.

The analytical results reveal that a global mindset positively influences relational and bricolage capabilities; relational capability positively affects bricolage capability; relational capability and bricolage capability have significant and direct effects on innovation; and innovation positively affects export performance.

The findings confirm that a global mindset plays a crucial role in the capability-building process, which suggests that it contributes to the development of relational and bricolage capabilities. Also, relational capability is critical for exporting firms to develop bricolage capability. Finally, innovation is an important mediating mechanism between capabilities and export performance. Therefore, exporting firms can develop their international business models on the basis of their capabilities, including relational capability and bricolage capability. These capabilities improve innovation, which, in turn, enhances export performance in a resource-constrained environment.

Drawing upon relative absorptive capacity (AC) perspective, this study proposes a research model connecting R&D investment, three types of supply chain AC—AC from suppliers, customers and university and research institutes (U&RIs)—and firm innovativeness and investigates the contingent effects of dysfunctional competition on the link between R&D investment and supply chain AC.

The authors used data collected from 262 manufacturers in three areas of China to empirically examine the conceptual model. The corresponding hypotheses were tested with structural equation modeling and regression analysis.

The empirical results demonstrate that AC from customers and AC from U&RIs play significant mediating roles in the relationship between R&D investment and firm innovativeness. Moreover, R&D investment has a significantly greater effect on AC from U&RIs under high levels of dysfunctional competition.

First, by conceptualizing AC from a relative view, this study discloses the unique roles of knowledge from different supply chain partners in realizing the benefits of R&D investment in innovation. Second, the exploration of the contingent roles of dysfunctional competition in the emerging economy of China enriches insights on the roles of institutional environment on knowledge absorption and the knowledge on relative AC in emerging economies.