Impact of buyer-supplier network complexity on firms’ greenhouse gas (GHG) emissions: An empirical investigation

Adhikary, Anirban; Sharma, Amalesh; Diatha, Krishna Sundar; Jayaram, Jayanth

doi:10.1016/j.ijpe.2020.107864

Cited by 23 publications

(45 citation statements)

References 76 publications

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“…The recent impact of COVID-19 has made the maintenance of buyer–supplier relationships increasingly complex and challenging to create a long-term favourable business environment (Aiello et al, 2020 ). Understanding the buyer–supplier relationship is essential to achieving long-term objectives (Adhikary et al, 2020 ). Improving the firm's success necessitates resolving the buyer–supplier complex relationship challenges (Chowdhury et al, 2021 ).…”

Section: Theoretical Model and Hypotheses Developmentmentioning

confidence: 99%

Examining collaborative buyer–supplier relationships and social sustainability in the “new normal” era: the moderating effects of justice and big data analytical intelligence

et al. 2022

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The COVID-19 pandemic has resulted in a slew of new business practices that have put the society and environment under strain. This has drawn the attention of supply chain researchers working to address the COVID-19 pandemic's looming social sustainability issues. Prior literature has indicated that collaborative relationships improve organizational performance. Over the past years, problems related to justice are reported (e.g., between Walmart Canada and the Lego group), which might negatively affect the buyer–supplier relationship. In the new normal, the effect of justice on collaborative buyer–supplier relationships on social sustainability in the COVID-19 context is obviously essential but under-explored. The current study examines buyer–supplier collaborative relationships' influence on social sustainability under the moderating effect of justice and big data analytical intelligence. In this paper, we employ the stakeholder resource-based view, loose coupling theory, and resource dependency theory as the theoretical lens to establish the research hypotheses. Using primary survey data collected from supply chain practitioners in South Africa, hypothesis testing is done using a covariance-based structural equation modelling technique. To enhance research rigor, we have checked the dyadic perspectives of both buyers and suppliers. Our empirical results reveal that collaborative buyer–supplier relationships positively influence supplier social sustainability in the new normal era. However, it is relatively stronger from the suppliers’ perspective when compared with the buyers’ perspective. Secondly, the moderating effect of perceptions of organizational justice and big data analytical intelligence on the relationship between collaborative buyer–supplier relationships and supplier social sustainability is also statistically significant. However, it is relatively stronger from the buyers’ perspective when compared with the suppliers’ perspective. These are major findings of this study. Theoretical and managerial implications are further discussed.

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Section: Theoretical Model and Hypotheses Developmentmentioning

confidence: 99%

Examining collaborative buyer–supplier relationships and social sustainability in the “new normal” era: the moderating effects of justice and big data analytical intelligence

et al. 2022

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“…(1) the categories that are of primary interest of the study (e.g., for Bloomberg SPLC, several articles use only COGS relationships) (Adhikary et al, 2020; Gualandris et al, 2021; Li et al, 2021; Li & Zobel, 2020; Wetzel & Hofmann, 2019)…”

Section: Using the Data In Academic Research: Challenges And Solutionsmentioning

confidence: 99%

“…As a preliminary step, relationship categories should be considered. For instance, Elking et al (2017) and Adhikary et al (2020) focused only on COGS relationships, assuming that these suppliers were the most involved in firms' day‐to‐day activities and, therefore, the most relevant for the investigated constructs (i.e., financial dependence and sustainability performance, respectively). Shao et al (2018) included all relationship categories in their analyses of suppliers' risk.…”

Section: Using the Data In Academic Research: Challenges And Solutionsmentioning

confidence: 99%

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Using supply chain databases in academic research: A methodological critique

Culot

Podrecca

Nassimbeni

et al. 2022

J Supply Chain Manag

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This article outlines the main methodological implications of using Bloomberg SPLC, FactSet Supply Chain Relationships, and Mergent Supply Chain for academic purposes. These databases provide secondary data on buyer-supplier relationships that have been publicly disclosed. Despite the growing use of these databases in supply chain management (SCM) research, several potential validity and reliability issues have not been systematically and openly addressed. This article thus expounds on challenges of using these databases that are caused by (1) inconsistency between data, SCM constructs, and research questions (data fit); (2) errors caused by the databases' classifications and assumptions (data accuracy); and (3) limitations due to the inclusion of only publicly disclosed buyer-supplier relationships involving specific focal firms (data representativeness). The analysis is based on a review of previous studies using Bloomberg SPLC, FactSet Supply Chain Relationships, and Mergent Supply Chain, publicly available materials, interviews with information service providers, and the direct experience of the authors. Some solutions draw upon established methodological literature on the use of secondary data. The article concludes by providing summary guidelines and urging SCM researchers toward greater methodological transparency when using these databases.

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“…Many studies of network complexity in supply chains focus on innovation (Bellamy, Ghosh, & Hora, 2014), performance (Lu & Shang, 2017), environment (Adhikary, Sharma, Diatha, & Jayaram, 2020), disruptions (Bode & Wagner, 2015) and other topics. Networks are often analyzed by game theory, network and relationship structure models, models of network dynamics, strategic network models, monopoly, and oligopoly models.…”

Section: The Characteristics Of Network Complexitymentioning

confidence: 99%

Complexity, continuity, and strategic management of buyer–supplier relationships from a network perspective

Pech¹,

Vaněček²,

Prazáková³

2021

JEMI

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PURPOSE: Current research seeks to create an economic model that connects strategic management and network theory. However, most theoretical models do not provide empirical evidence of network relationships’ real structure and attributes. The purpose of the paper is to explore the relation between enterprise characteristics and the characteristics of buyer–supplier relationships in supply chain networks. We are specifically interested in business relationships in networks with respect to the various enterprises’ sizes and sectors of industry. The subject of our research was characteristics, such as network relationship complexity, continuity of relationships, and strategic management in networks. The paper summarizes the results of an empirical study on buyer-supplier networks and accentuates the importance of developing and fostering business collaboration for strategic management. METHODOLOGY: We conducted the questionnaire research in 2016–2019 on 360 enterprises from the Czech Republic. We selected the research sample based on the non-probability purposive sampling method. The members of the research team collected data from an online survey and personal visits to enterprises. The statistical analysis of hypotheses is based on the frequency of managers’ answers. To evaluate results, a two-proportion Z-Test is used for comparing different categories of enterprises according to their enterprise size or prevailing sector of the industry. FINDINGS: The main results show that the differences between enterprises involved in the buyer–supplier structures lie mainly in their size. The survey did not identify differences between industry sectors. The findings show that the complexity of networks in the Czech Republic is not high in terms of the number of suppliers or involvement in many supply networks. The continuity of relationships with partners in buyer–supplier networks is relatively long-term oriented. Long-term partnerships reflect the higher quality of relationships and support future integration. However, large enterprises prefer to build contracts for shorter or longer periods. An overall decentralization strategy characterizes the strategic management of buyer–supplier networks. This finding means dividing competencies such as planning, managing, sourcing, decision-making, transporting (delivering) among more enterprises. IMPLICATIONS FOR THEORY AND PRACTICE: The paper provides an insight into understanding how the buyer–supplier network functions. The theory’s implication builds on the connection of supply chain management and strategic management from the network perspective. Supply chain management is viewed as a part of strategic management, and the synthesis of both research areas opens an innovative view to business theory. ORIGINALITY AND VALUE: The paper’s principal value is the connection between contemporary ideas of strategic management and supply chain management. The synthesis of supply chain management and network approach enhances strategic management theory.

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Impact of buyer-supplier network complexity on firms’ greenhouse gas (GHG) emissions: An empirical investigation

Cited by 23 publications

References 76 publications

Examining collaborative buyer–supplier relationships and social sustainability in the “new normal” era: the moderating effects of justice and big data analytical intelligence

Examining collaborative buyer–supplier relationships and social sustainability in the “new normal” era: the moderating effects of justice and big data analytical intelligence

Using supply chain databases in academic research: A methodological critique

Complexity, continuity, and strategic management of buyer–supplier relationships from a network perspective

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