Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises

Funding Innovation and Risk: A Grey-Based Startup Investment Decision

As found in behavioral decision theory, venture capitalists (VCs) rely on heuristics and bias, owing to their bounded rationality, either by limited alternatives or information and resources. India's booming startup scene challenges VCs in decision-making owing to information overload from numerous evolving ventures, which hinders informed judgment. VC investment behavior, due diligence, and cognitive factors related to decision-making have always drawn the attention of researchers. We provide an alternative approach for an optimal decision by VCs by identifying the attributes that influence investment or funding decisions at an early stage of a venture in tech-based industries. Through a literature review, we identify eight attributes, both on internal and external criteria, that venture investors consider when making investment decisions. Based on interviews with 20 experts, we further identify eight key tech-based sectors. Using grey system theory, we then determine the rankings of eight tech startups for investors' early-stage investment decisions. This study presents a linguistic variable-based approach of grey numbers to decide weights and ratings, the grey possibility degree to compare and rank different tech startups, and based on the results, suggests the ideal tech startup. We find that agritech ranks first; thus, investors should prefer venturing into such startups for early-stage investment. E-commerce and edutech ranked second and third, respectively, followed by electric vehicle infrastructure, insurtech, fintech, space tech, and software as a service.

Closing the loop of a global supply chain through a robust optimal decentralized decision support system

This paper presents a novel decentralized decision support system to optimally design a general global closed-loop supply chain. This is done through an original risk-based robust mixed-integer linear programming that is formulated based on an initial uncertain bi-level programming. Addressing the decision-maker's (DM's) attitude toward risk, a scenario-based conditional value-at-risk is used to deal with demand and return uncertainty. Also, the Karush-Kuhn-Tucker (KKT) conditions are employed to transform the model into its single-level counterpart. The results obtained from solving a numerical example through the proposed framework are compared with those of the corresponding centralized system, which is formulated through deterministic multi-objective programming and solved by the Lp-metric method. The results show that the use of the proposed framework improves the robustness of profit, income, and cost by about 28%, 34%, and 36% on average. However, a more conservative DM faces a larger cost of robustness than an optimistic DM while experiencing a more significant improvement in the system responsiveness. Using the proposed framework, the manager can measure the advantages, disadvantages, and consequences of their decisions before their actual implementation. This is because the model is capable of establishing fundamental trade-offs among risk, cost, profit, income, robustness, and responsiveness according to the DM's attitude toward risk.

Assessing strategies to mitigate the impacts of a pandemic in apparel supply chains

The COVID-19 pandemic has taught global businesses that a pandemic can put business dynamics in unforeseeable turbulence. The disruptions created by the pandemic in the apparel industry exposed the vulnerabilities of apparel supply chains (SCs). To recover the supply chain impacts (SCIs) during an unprecedented event such as the COVID-19 pandemic, apparel SCs need a robust framework that can identify, measure, and mitigate the severity of SCIs by assessing effective mitigation strategies. This study identifies 12 critical SCIs in apparel SCs during a pandemic and 17 mitigation strategies. To assess SCIs and mitigation strategies, a modified grey-based bi-level analytical network process (ANP) is proposed to deal with the complex relationship between the SCIs and mitigation strategies. A real-life case study is conducted from an apparel supply chain for validation purposes. The findings suggest that policymakers in apparel SCs should prioritize implementing government policies and financial aid to deal with increased material and operational costs, the sudden surge in the unemployment rate, cancellation of orders and delayed payment, and increased transportation costs during a pandemic. This study also contributes to the literature by providing a robust decision-making framework for practitioners to deal with the complexity of SCs during future pandemics.

A systematic literature review on supply chain resilience in SMEs: learnings from COVID-19 pandemic

Purpose

The study aims to review state-of-art literature on supply chain resilience in SMEs in the context of the coronavirus (COVID-19) pandemic and provides a comprehensive view of insights gained, gaps identified and suggests potential areas of future research.

Design/methodology/approach

Using a thorough search strategy, 46 articles were found relevant for this study. Each of these articles was further reviewed, classified and analysed to highlight the development of literature in this field and identify the significant focal area of research in this domain.

Findings

The classification of studies indicates a growing number of articles in the last two years with a significant focus on multiple industries and survey-based research design. The study's findings suggest that literature on supply chain resilience in SMEs falls into four categories: supply chain resilience principle, impact of COVID-19 pandemic on SMEs, strategies for developing supply chain resilience and role of Industry 4.0 technologies in supply chain resilience. We also identified knowledge gaps and suggested directions for future research to catalyse studies at the interface of supply chain resilience, SMEs and COVID-19 pandemic.

Research limitations/implications

The generalisability of this study can be limited to a specific population of online databases and selected time periods chosen for a particular period.

Originality/value

The study provides a structured literature review on studies published between 2012 and 2022 for the use of academicians and practitioners. Findings will be of great value for SMEs to improve their resilience during the uncertain business environment.

Analyzing organizational barriers towards building postpandemic supply chain resilience in Indian MSMEs: a grey-DEMATEL approach

Purpose

This study aims to identify the barriers to building supply chain resilience and assess the contextual relationship between them in the Indian micro, small and medium enterprise (MSME) sector for the post COVID-19 era.

Design/methodology/approach

Barriers to supply chain resilience were extracted from the extant literature and were evaluated using the grey sets and Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach from strategic, tactical and operational business perspectives. The responses from experts on the identified barriers were collected through a structured questionnaire. The prominence-net effect results obtained after the DEMATEL application helped identify the most prominent barriers, their net cause and effect, and their correlation with each other.

Findings

A total of 16 barriers to resilience, identified from the literature, were considered for analysis. The findings of the study revealed that the lack of flexibility is the most critical causal barrier to building a resilient supply chain. Lack of planned resource management was also found to be an influential barrier. The study also identified the supply chain design, need for collaboration and technological capability as important factors for the MSME sector to focus on.

Research limitations/implications

The study is limited to assessing barriers to the supply chain resilience of MSMEs in India. More extensive research may be needed to reveal the global trend.

Practical implications

The study is significantly important for the MSMEs looking to establish resilient supply chains. Managers can use the findings to identify the weak links in the supply chain for strategic and tactical planning and can take corrective actions.

Originality/value

The study pinpoints the key linkages between barriers that impede MSMEs to make their supply chains resilient and robust to mitigate the impact of future disruptions and adversities. The work may be used by practitioners to further their attention on the significant challenges.

Modeling Challenges for Improving the Heat Rate Performance in a Thermal Power Plant: Implications for SDGs in Energy Supply Chains

Rapid industrialization and the increased use of consumer electronic goods have increased the demand for energy. To meet the increasing energy demand, global nations are looking for energy from renewable sources rather than non-renewable sources, to adhere with the sustainability principle. As energy from renewable sources is still in the experimental stage, there is a need to use available energy sources optimally. Considering this, the present study aims to identify, evaluate, and reveal the interrelationship among critical challenge factors in improving the heat rate performance of coal-fired thermal power plants. The study identifies twenty critical challenges through a comprehensive literature review. Then, to evaluate the identified critical challenges, the grey-DEMATEL (Decision Making Trial and Evaluation Laboratory) technique is used. For evaluating the challenges, this study conducts an empirical analysis in a thermal power plant in India. The findings reveal that air preheater leakage, coal flow balancing, and air heater air outlet temperature are the top three critical challenges hampering the thermal power plant’s performance. Additionally, fourteen challenges come under the cause group, while eight challenges come under the effect group. The findings of the study can assist industrial managers in overcoming problems in their thermal power plants. The results can also guide the development of a robust and reliable framework for mitigating these challenges.

Analysis of factors impacting firm performance of MSMEs: lessons learnt from COVID-19

Purpose

The micro, small and medium scale enterprises (MSMEs) faced various challenges in the ongoing COVID-19 pandemic, making it challenging to remain competitive and survive in the market. This research develops a model for MSMEs to cope with the current pandemic's operational and supply chain disruptions and similar circumstances.

Design/methodology/approach

The exhaustive literature review helped in identifying the constructs, their items and five hypotheses are developed. The responses were collected from the experts working in MSMEs. Total 311 valid responses were received, and the structural equation modeling (SEM) approach was used for testing and validating the proposed model.

Findings

Critical constructs identified for the study are-flexibility (FLE), collaboration (COL), risk management culture (RMC) and digitalization (DIG). The statistical analysis indicated that the four latent variables, flexibility, digitalization, risk management culture and collaboration, contribute significantly to the firm performance of MSMEs. Organizational resilience (ORS) mediates the effects of all the four latent variables on firm performance (FP) of MSMEs.

Practical implications

The current study's findings will be fruitful for the manufacturing MSMEs and other firms in developing countries. It will enable them to identify the practices that significantly help in achieving the firm performance.

Originality/value

The previous researches have not considered the effect of “organizational resilience” on the “firm performance” of MSMEs. This study attempts to fill this gap.

The impact of factors on information sharing: An application of meta-analysis

BACKGROUND

Information sharing plays a key role in supply chain performance. According to previous individual studies, technology, trust, commitment, and uncertainty are four potential factors affecting information sharing. However, most studies focus on testing a positive relationship between each factor and information sharing. Therefore, it is necessary to evaluate the effect of each factor on information sharing.

OBJECTIVE

To determine the accurate effect of factors on sharing information and propose key factors to support decision-makers in improving their information sharing.

DATA

Correlation coefficients between factors are collected from 41 individual studies with a total of 8,983 samples on Google Scholar.

METHODS

Using the rank correlation test and Egger's regression test to test publication bias. The meta-analysis method is used to perform analysis models, including fixed-effect, random-effect, and Hunter and Schmidt methods.

RESULTS

Commitment plays the most important role in information sharing when compared to technology, trust, and uncertainty. Commitment accounts for 19% in the Hunter and Schmidt method and 22% in both fixed-effect and random-effect models. In addition, the result indicates that there are around 50% of other factors that affect the efficiency of sharing information besides four factors in our studies.

CONCLUSION

Technology, trust, and commitment significantly affect information sharing, of which the impact of commitment on information sharing is strongest and should be a priority in improving the effectiveness of information sharing. Our study contributes two findings to literature in the field of supply chain information sharing: 1) certain confirming the important role of commitment on sharing information, and 2) the necessity of considering other factors besides these four elements.

Systematic Literature Review of Supply Chain Relationship Approaches amongst Business-to-Business Partners

Managing a business-to-business (B2B) supply chain relationship is an endless challenge. Many recent systematic literature review studies have discussed supply chain relationships from various perspectives. However, a comprehensive analysis, summarising the existing research, explicitly identified the implemented B2B supply chain relationships and found the effects of these relationships on supply chain performance remain lacking. To address the gap, this article presents a systematic literature review based on the PRISMA approach regarding the nature of the supply chain relationships between B2B partners and their effect on supply chain performance. Web of Science and Scopus were used in the compilation of studies published between 2000 and 2020. Findings indicate that the majority of B2B partners use a collaborative relationship approach and that the impacts are marked on the operational, financial, innovation, environmental, social and economic performance of their supply chain. This study seeks to contribute to the existing literature on B2B supply chain relationships by conducting a thorough and unbiased review of previous studies, drawing more general conclusions about the adopted supply chain relationships between B2B partners and providing insights for future research.

Methodological Perspective for Assessing European Consumers’ Awareness of Cybersecurity and Sustainability in E-Commerce

The increasing European consumer awareness of cybersecurity and sustainability issues in e-commerce is raising key methodological concerns. In a field like this, still unexplored by scholars, it is crucial to identify reliable data as well as to choose the modalities of combining primary and secondary data. As the robustness of the outcome of a study on a complex issue is highly sensitive to the quality of the data used, this paper is a communication that aims to complement and support previously published empirical research. This communication describes the methodological path to collect, integrate, and process data from different sources to interpret European consumers’ attitudes towards cybersecurity and sustainability during e-commerce. In fact, COVID-19 has driven many users to shop online, raising concerns especially about the security of digital transactions. Scientific studies analyzing these effects are still lacking in the literature and therefore this paper aims to fill this gap. The limits of a rigid dataset such as Eurostat’s are overcome by integrating the results of European citizens’ behavior during online purchases, with a survey that involved some experts appropriately selected by the research team. The combination of primary and secondary sources of data and the application of a hybrid methodological approach using MCDA (multi-criteria decision analysis) and a Likert scale allowed new information that fills some gaps in the literature to be extracted from the data. How European citizens correlate e-commerce with cybersecurity and sustainability emerged, thus providing important insights for decision-makers.

Flexible Fuzzy Goal Programming Approach in Optimal Mix of Power Generation for Socio-Economic Sustainability: A Case Study

The demand for cost-efficient and clean power energy cannot be overemphasised, especially in a developing nation like India. COVID-19 has adversely affected many nations, power sector inclusive, and resiliency is imperative via flexible and sustainable power generation sources. Renewable energy sources are the primary focus of electricity production in the world. This study examined and assessed the optimal cost system of electricity generation for the socio-economic sustainability of India. A sustainable and flexible electricity generation model is developed using the concept of flexible fuzzy goal programming. This study is carried out with the aim of achieving the government’s intended nationally determined contribution goals of reducing emission levels, increasing the capacity of renewable sources and the must-run status of hydro and nuclear, and technical and financial parameters. The result shows an optimal cost solution and flexibility in how increased electricity demand would be achieved and sustained via shifting to renewable sources such as solar, wind and hydro.

Resilience, Leadership and Female Entrepreneurship within the Context of SMEs: Evidence from Latin America

The purpose of this article is to analyze resilient female leadership as a sustainable promoter of business excellence in small and medium-sized Wayuu handicraft marketing enterprises. The present study uses a quantitative methodology with a non-experimental cross-sectional field design, with an analysis and interpretation of the data provided by the surveyed subjects. A 33-item questionnaire with multiple response options is applied. The population consists of 110.012 eradicated women. A probabilistic sampling technique is applied with a margin of error of 5% and a confidence level of 95%, for a total of 383 Wayuu women entrepreneurs in the Department of La Guajira, Colombia. Our findings explain that female leadership transcends the boundaries of business management, being present in both small and medium enterprises (SMEs). This study confirms the positive relationship between sustainability and resilience in the Wayuu handicrafts market, being women who turn their actions into success factors by working with women who show technical, conceptual, and human skills.