Supply chain integration strategies in fast evolving industries

Identifying the factors affecting strategic decision-making ability to boost the entrepreneurial performance: A hybrid structural equation modeling – artificial neural network approach

This study builds a conceptual model of strategic decision-making ability that leads to entrepreneurial performance (EP) based on the two-system decision-making theory and logical analysis. An empirical approach using structural equation modeling – artificial neural network (SEM-ANN) was performed to describe the linear and nonlinear relationships in the proposed model. The empirical results reveal that strategic decision-making abilities are affected by five factors: attention, memory, thinking, emotion, and sentiment, and whose influence mechanisms and degrees are varied. Results also describe that these abilities have a positive effect on overall EP. Therefore, results suggest that businesses’ strategic decision-making is usually strengthened when entrepreneurs have a clear understanding of these influencing elements, and the interaction between them leads to improved performance.

Direct and mediation effect of supply chain complexity drivers on supply chain performance: an empirical evidence of organizational complexity theory

Purpose

In today's globalized business environment, growing supply chain complexity (SCC) is arguably a major threat to the firm's business continuity with an adverse impact on the firm's competitive advantage and business performance. Researchers, though, investigated the impact of SCC drivers on a firm's operational performance, but the key question “Which supply chain complexity drivers severely impact the supply chain performance (SCP)?” remains largely unanswered from empirical research. The present study aims to decompose the SCC into four major constituting sub-categories (upstream, operational, downstream and external) to explore the causal impact of SCC drivers on SCP in direct and mediated manner.

Design/methodology/approach

The indicators applied for measuring constructs in the “Measurement model” are obtained from existing literature to increase the validity and reliability of the model. First, a pilot survey involving 25 SC managers from various manufacturing firms was conducted for indicator refinement and content validation. Second, the large-scale response data were collected through extensive surveys. This research explores the causality by testing the hypothesis applying Structural Equation Modeling (SEM) based on the responses received from 246 firms.

Findings

The study investigates the impact of SCC drivers on SCP through direct and mediation effect. The results indicate that upstream and operational SCC drivers play a mediating role in managing SCP. The findings reveal that upstream and operational SCC drivers adversely impact the SCP. Furthermore, the impact of downstream complexity on SCP is moderated through operational complexity drivers. The result explains the theoretical relation among SCC drivers supported by empirical validity.

Practical implications

The outcome offers practical relevance to supply chain (SC) managers in SCC and SCP management. Knowing the effect of SCC drivers among themselves and on SCP will facilitate the SC managers in devising the right strategies. The study provides a framework for prioritizing the resource in addressing the SCC issues among many.

Originality/value

The study addresses the apparent gap in the literature by modeling the impact of SCC drivers on SCP, which remained largely unexplored. First, it contributes to developing complex relationships among SCC drivers. Second, the direct and mediated causal effect of the SCC drivers individually and combinedly on SCP are explicated.

Revisiting supply chain drivers for greater marketing outcomes of handicraft sector

Purpose

The handicraft sector is unorganized, with tremendous opportunities for generating employment, particularly for the non-urban and bottom of the pyramid (BOP) population. The aim of this paper is to revisit the existing supply chain of the handicraft sector to identify the gaps that can help generate better marketing outcomes for the sector when addressed.

Design/methodology/approach

A mixed method of qualitative and quantitative research has been used. Empirical observations from artisans have been collected to identify different variables impacting the functioning of the handicraft value chain.

Findings

Different variables were identified and grouped into six important dimensions through the mixed-method research. The components were ranked based on importance, which can help in developing a robust supply chain at BOP for the handicraft sector.

Originality/value

Studies on the supply chain of the handicraft sector are rare, and none has tried to understand issues in an integrated way directly from the artisans. This study has captured the voices of the artisans, and through qualitative and quantitative data analyses, the main reasons for the artisans' pain points were identified. This can give directions to a viable business model for the handicraft sector.

Blockchain, logistics and omnichannel for last mile and performance

Purpose

This research investigates the effects that blockchain exerts on omnichannel solutions and logistics strategies with the aim of solving the last mile issues and improving performance.

Design/methodology/approach

Research hypotheses are developed according to the literature review and the related gaps. Then, the hypotheses are tested using structural equation modelling and adopting a partial least squares – path modelling technique on a dataset composed of 157 firms.

Findings

Blockchain technology alone is not an effective driver in solving last mile issues and improving performance. Rather, it exerts a positive contribution to both omnichannel and logistics. However, omnichannel is not effective in managing last mile problems and increasing performance without the support of other practices. Firms need to implement a strong logistics system to manage the last mile and get high performance, which can be then reinforced through blockchain and omnichannel solutions.

Originality/value

This research investigates the novel wave of research on blockchain and its impact on logistics management and omnichannel. It combines these ingredients to address the issues of last mile and improve the economic performance. The research provides an empirical verification of a new research stream that currently lacks empirical support.

The impact of business intelligence on supply chain performance with emphasis on integration and agility–a mixed research approach

Purpose

The paper aims to explore how business intelligence (BI), integration and agility influence supply chain performance.

Design/methodology/approach

The study was performed by the exploratory sequential mixed method in two phases including meta-synthesis as a qualitative method and survey as a quantitative method. Data were collected through a survey of 369 Iranian companies across various industries. Structural equation modeling was used to test hypotheses.

Findings

The results show that BI, integration and agility play an important role in achieving better supply chain performance. In the meantime, BI has the greatest impact on supply chain performance. Additionally, BI has a positive and significant effect on the integration and agility of the supply chain. The study also found that integration has a direct effect on supply chain agility.

Originality/value

To the best of the authors' knowledge, the paper theoretically and empirically presents a new conceptual model of the relationship between BI, integration, agility and supply chain performance. The study helps researchers and practitioners to achieve insights into supply chain performance improvement.

Triggers of consumers' enhanced digital engagement and the role of digital technologies in transforming the retail ecosystem during COVID-19 pandemic

This study seeks to unravel the factors that have triggered changes in individuals' engagement with online consumption during the COVID-19 crisis and investigate the influence of digital technologies on the retail ecosystem during the lockdowns, as seen through the eyes of consumers. In doing so, a qualitative empirical research approach was adopted, and data was collected via in-depth interviews with 35 respondents during the COVID-19 lockdown in China. The study has delineated a systematic mapping of the retail ecosystem's reactions to the COVID-19 shock. Three overarching dimensions related to consumers' online purchasing behaviors during the COVID-19 pandemic were identified: triggers of enhanced digital engagement, transformative capacity of digital technologies, and socio-economic adaptability during crises. The relevant themes underlying each aggregate dimension were further elaborated with evidence from the interviews. The study findings advance the extant literature on purchasing behavior and online retailing in times of crisis and offer important practical implications on improving crisis management capabilities of the retail ecosystem via digital technologies. As a final output, four propositions were extracted to serve for further research.

Inhibitors and enablers of supply chain integration across multiple supply chain tiers: evidence from Malawi

Purpose

This paper investigates the inhibitors and enablers of supply chain integration (SCI) across multiple tiers in the supply chains of manufacturing-based small and medium-sized enterprises (SMEs) in Malawi.

Design/methodology/approach

Following a qualitative approach, data were collected through face-to-face interviews across three supply chains, each consisting of a focal manufacturer, a major supplier and a retailer.

Findings

The research identified interpersonal relationships, supplier cost transparency and joint supply chain management (SCM) investments as key enablers of SCI. Concerning the inhibitors of SCI, the study found that a lack of external integration inhibited internal integration by acting as a source of disruption to intra-firm processes and relationships. Further, the research found weaker links between manufacturer–-retailer dyads than in manufacturer–supplier dyads, which constrained the ability to achieve multi-tier supplier–manufacture–retailer integration. The study also revealed that resource and infrastructural deficiencies, a culture of fear and intimidation within and between firms, corruption in sourcing transactions and a lack of inter-firm trust inhibited SCI.

Research limitations/implications

The paper extends earlier evidence that internal integration is a prerequisite for external integration demonstrating that a basic level of external integration is necessary to prevent disruptions to internal integration.

Originality/value

This study is one of the few to go beyond the focal firm perspective and explore the inhibitors and enablers of SCI across multiple supply chain positions, and provides new evidence on the role of external integration in achieving internal integration.

The value of supply chain integration in the Latin American agri-food industry: trust, commitment and performance outcomes

Purpose

This paper aims to explore the antecedents and performance outcomes of supply chain integration in the agri-food industry in Latin America, a context that the literature on supply chain management has not extensively addressed. The quinoa supply chain, an industry that has encountered a boost in market demand in the past year, is selected as the unit of analysis. Supply chain integration dynamics are analyzed to provide recommendations about integration strategies and benefits in the agricultural sector.

Design/methodology/approach

A conceptual model was designed in this study, which includes the drivers (i.e. trust and commitment) and outcomes (i.e. operational and economic performance) of supply chain integration. The relationships were verified through a unique survey, the data of which were collected from 79 respondents operating at different levels of the Peruvian quinoa supply chain (i.e. suppliers, producers and customers). The proposed hypotheses were tested through the partial least squares (PLS) regression.

Findings

The results underscore the relevance of trust and commitment as enablers of supply chain integration initiatives in the agri-food industry. These factors are particularly essential for involving the farmers who are the most upstream actors in the supply chain and characterized by unstructured organizations. A high level of integration in these types of supply chain enhances the capacity to improve operational performance, which in turns positively affects the main economic indicators.

Originality/value

This study contributes to the discussion of supply chain integration in the agri-food industry, which remains unexplored thus far. It relies on a multitier collection of responses, which is extended to all the levels of the quinoa supply chain, thereby providing the study with a unique depth of analysis. Furthermore, this work contributes to the ongoing discourse on the performance impact of supply chain integration, which several SCM scholars have recently questioned.

Modeling the enablers of supply chain strategies and information technology: improving performance through TISM approach

Purpose

This study aims to investigate the hierarchical relationship between industry-specific attributes of supply chain (SC) strategies and information technology (IT) to improve the performance of firms in textile industry in Pakistan.

Design/methodology/approach

This study presents a mix of enablers through literature review and experts’ opinions. Next, the driving and dependence powers of enablers were identified, using the interpretive structural modeling (ISM) approach.

Findings

The ISM model suggests eight levels, with customer satisfaction at the top of the model. Process automation and TQM are placed at second and third level, respectively, whereas flexible sourcing and flexible capacity are positioned at fourth level. The key enablers of IT have high driving power, hence positioned at the bottom of ISM model.

Originality/value

This study has value for firms in garment manufacturing and exporting industry to invest into IT and sustainable SC design for competitive performance. The theoretical and managerial implications are provided.

Designing a hybrid cloud for a supply chain network of Industry 4.0: a theoretical framework

Purpose

Supply chain is the area that requires effective and integrated means of communication, shared risk, collaboration and orchestration in order to work successfully and the cloud computing has lot to offer to this domain. Cloud computing has appeared as a modern paradigm in supply chain networks for creating intelligent industries of future. The purpose of this paper is to propose a framework that can transform supply chain stakeholders toward Industry 4.0.

Design/methodology/approach

Cloud computing is attributed with increasing competitiveness by focusing on cost reduction, greater elasticity, flexibility and maximum utilization of resources which results in successfully achieving business goals. This paper proposes a Hybrid Supply Chain Cloud model, which integrates the infrastructure, the resources and the configurations of platforms.

Findings

This research paper is aimed at proposing a hybrid cloud that essentially helps in integrating the supply chain network with the flexibility and efficiency. It is important that a supply chain network adds value to ensure customer satisfaction and this can be best achieved by collaborating it with hybrid cloud.

Research limitations/implications

This research provides a consistent central management and comprehensive view of all computing resources, which gives organizations the knowledge they need to optimize workload placement.

Practical implications

The findings derived from this research aim to facilitate policy makers and practitioners to develop effective courses of action in current and future supply chain management. Therefore, upon implementation, this model can provide long-term benefits for the organizations by improving the overall efficiency of its supply chain network.

Originality/value

The proposed hybrid cloud will provide deep level of integration in Industry 4.0 situation and thereby brought up portable comprehensive infrastructure based on resources and required configuration in real-time environment.

Global supply chain integration, financing restrictions, and green innovation

Purpose

The purpose of this paper is to analyze the influence that the financial restrictions of Chinese enterprises exert on their green innovation abilities with their increased integration into the global supply chain (GSC).

Design/methodology/approach

This study uses customs, import, and export data for 222,773 Chinese enterprises and examined them by ownership type, capital density, and degree of pollution.

Findings

The results show that the deeper the integration into the GSC, the looser the financing environment would be, and the stronger the green innovation abilities of the enterprises.

Practical implications

The findings suggest that China should step up privatization of state-owned enterprises, increase government subsidies to private enterprises, and loosen their financing restrictions to address the recent economic decline in the country and ensure smooth and fast economic growth.

Originality/value

This paper is one of the first of its kind to develop and empirically analyze the relationship between the GSC and the financing restrictions and their determinant factors in China. It uniquely contributes to help the authors find approaches to constructing China’s green innovation and has far-reaching implications for other developing countries.