Operating in Environments Affected by Uncertainty : Supply Chain Finance, Timely Information Sharing using Advanced Technology, and Financial Performance in Supply Chain Management 4.0

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Improving the predictability of business failure of supply chain finance clients by using external big dataset

Purpose - The purpose of this paper is to help the financial institutions improve the predictability of business failure of supply chain finance (SCF) clients with the use of external big data set. Design/methodology/approach - A prediction model for the business failure of SCF clients was built upon different theoretical perspectives. Logistic regression method was deployed to test the model. Findings - The authors develop a model that illustrates several key determinants to predict the probability of business failure of SCF clients based on several theoretical perspectives. The results show that taxable sales revenue, frequency of making value added tax (VAT) payment, number of counterparty for VAT invoice issuance, frequency of VAT invoice issuance and firm age are negatively correlated with business failure of SCF clients while the VAT paid and industry clockspeed are positively correlated with their business failure. Practical implications - This paper shows how financial institutions can effectively leverage the external information sources through "unconventional" predictor variables in order to reduce the credit risks associated with business failure of SCF clients. Originality/value - This paper is one of the first to focus on the potential use of financial big data set from external sources to improve of predictability of financial institutions on the business failure of SCF clients. In addition, this paper is a pivotal study on the financial client risk assessment based on taxpaying behaviors, tax amount, firm and industry characteristics. © Emerald Group Publishing Limited

Overcoming institutional voids as a pathway to becoming ambidextrous: The case of China’s Sichuan Telecom

The paper examines how firms develop supply chain financing model to help overcome institutional voids (IVs) and become ambidextrous. This study presents a case analysis of a novel supply chain financing model instigated and implemented by China’s Sichuan Telecom (ST) to help supply chain partners overcome IVs in their environments. We identified three unique stages in the evolution of the supply chain ambidextrous financing model: drivers for change (including identifying suppliers’ problems and constraints), designing and implementing the supply chain ambidextrous financing model, and the tripartite performance effects. The analysis demonstrated how ST utilized its market power, resources and network ties to harness expertise and competences of small and medium-sized enterprises (SMEs) to overcome IVs and become ambidextrous. Sichuan Telecom aided the SMEs in solving the financing problem through order-based supply chain financing. Based on the analysis, we outline implications of this case for theory and policy

Market-Entry Strategies of Startup Owners

Russia\u27s startups fail at high rates. The purpose of this multiple case study was to understand the market-entry strategies used by accelerated startup managers to succeed in business longer than the first 3 years. The target population for this study was 3 startup owners who completed an acceleration program from the Internet Initiatives Development Fund and continued to operate businesses that generated revenue. The participants in the study were located in 3 different cities in Russia: Moscow, Saint Petersburg, and Tomsk. The conceptual framework for the study was Raheem and Akhuemonkhan\u27s theory of enterprise development and von Bertalanffy\u27s general system theory. Data collection involved semistructured interviews, review and analysis of company documents, reflective journal entries, and direct observation of the management operations and processes. Data were analyzed using Yin\u27s 5-step data analysis process. A thematic analysis of the data revealed 4 themes: evolution of an entrepreneur, sales strategy, acceleration impact, and recommendations for accelerators and incubators. The results of the study may contribute to startup survivability as well as exchanging successful experience among new entrepreneurs. For those people who plan to start a business, this study may contribute understanding the skills for initiating a startup

Terrorism affected regions : the impact of different supply chain risk management strategies on financial performance

Purpose: Current geo-political events, such as terrorism and climatologic adversities, have highlighted the potential risks to supply chains (SCs), and their disastrous financial impacts on supply chains. Within supply chains, risk management plays a major role in successfully managing business processes in a proactive manner and ensuring the business continuity and financial performance (FP). The purpose of this study is to explore the supply chain risks and strategies in a terrorism-affected region (TAR), and to examine supply chain risk management (SCRM) strategies and their impacts on FP, including the war on terror (WoT) and its impacts on the local logistics industry. In addition, this study investigates the knowledge gaps in the published research on terrorism-related risk in supply chains, and develops a framework of strategies and effective decision-making to enable practitioners to address terrorism-related risks for SCRM.Methodology: The study initially adopts a novel combination of triangulated methods comprising a systematic literature review, text mining, and network analysis. Additionally, risk identification, risk analysis and strategies scrutiny are conducted by using semi-structured interviews and Qualitative Content Analysis in a TAR. A model of strategies was developed from a review of existing studies and interviews. The model is empirically tested with survey data of 80 firms using fuzzy-set Qualitative Comparative Analysis (fsQCA).Findings: This study reveals a number of key themes in the field of SCRM linked with terrorism. It identifies relevant mitigation strategies and practices for effective strategic decision-making. This subsequently leads to development of a strategic framework, consisting of strategies and effective-decision making practices to address terrorism-related risks that affect SCRM. It also identifies key the knowledge gaps in the literature and explores the main contributions by disciplines (e.g., business schools, engineering, and maritime institutions) and countries.Further, it identifies the SC risks in a TAR, which consist of value streams: disruption risks, operational risks and financial risks. Among these, the emerging risks emcompass terrorist groups’ demand for protection money, smog, paedophilia and the use of containers to block protesters. To mitigate these risks, firms frequently implemented the following strategies: information sharing, SC coordination, risk sharing, SC finance, SC security and facilitation payment. Five strategies out of the six (except facilitation payment) are able to lead to FP, confirmed quantitatively as well. There are various equifinal configurations of SCRM strategies leading to FP. In addition, information sharing acts as a moderator in the relationship between SC security and FP. SC coordination has a mediating role in the relationship between information sharing and SC security capabilities and FP.Research limitations/Contribution: The sample size a limitation of the study, meaning that the findings should be generalized with caution. The most valuable implications is the identification of configurations of strategies that can help managers and policymakers in implementing those findings.Originality/value: No empirical study was found in the SCRM literature that specifically investigates the relationships between the identified strategies and FP with fsQCA, in particular in a TAR context; this study thus fills an important gap in the SCRM literature and contributes empirically