The influence of institutional pressures and organization culture on Supplier Social Compliance Management Systems

Do institutional pressures promote green innovation? The effects of cross-functional coopetition in green supply chain management

Purpose

Green supply chain management is an effective, environment-friendly business practice. Based on institutional theory and dynamic capability theory, the study examines the effect of institutional pressures to implement green supply chain management (GSCM) on green innovation, by considering the mediation effects of cross-functional coopetition.

Design/methodology/approach

This study conducted a survey of Chinese companies and collected 1,481 responses. The effects of institutional pressures for GSCM implementation were analyzed using partial least squares structural equation modeling (PLS-SEM).

Findings

This study finds that coercive pressure, normative pressure and mimetic pressure for GSCM implementation are sufficient conditions to promote green innovation. Normative and mimetic pressures have significant positive effects on cross-functional coopetition. Cross-functional coopetition not only mediates the relationship between normative pressure and mimetic pressure and green innovation but also represents a necessary condition for it to occur.

Practical implications

First, managers should comprehend environmental regulations, embrace social norms on the environment and focus on competitors' successful GSCM practices. Second, management can organize training and establish performance-based rewards for enhancing a cross-functional coopetitive mindset to effectively respond to institutional pressures. Third, companies should establish multi-functional groups and informal networking via social events to motivate interaction, knowledge sharing and creative tension to achieve green innovation.

Originality/value

This paper expands the application of institutional theory to investigate the antecedent effects of institutional pressures on cross-functional coopetition. In addition, the study deepens understanding of dynamic capability theory in analyzing dynamic processes of cross-functional coopetition based on three dimensions of sensing, seizing and reconfiguring and empirically examines its mediating effects on institutional pressures and green innovation.

Does asset specificity lead to value expropriation or value creation? An Institutional View

Purpose

Asset specificity is a focal feature of buyer–supplier exchanges; however, whether unilateral asset specificity encourages opportunistic value expropriation or promotes trust-based value creation remains controversial. The purpose of this paper is to investigate how institutional forces shape the controversial roles of buyer asset specificity in supply chain relationships.

Design/methodology/approach

With a survey of 217 matched manufacturer–supplier dyads in China, the study adopts ordinary least squares regression analyses to test hypotheses.

Findings

The results show that two key institutional forces, guanxi importance and government intervention, play different roles in shaping the value expropriation and value creation roles of buyer asset specificity. As an informal institutional force, guanxi importance weakens the impact of buyer asset specificity on opportunistic value expropriation and facilitates trust-based value creation. Moreover, as a formal institutional force, government intervention amplifies the effect of buyer asset specificity on opportunism but strengthens its connection with trust.

Originality/value

By incorporating an institutional view to investigate how institutional forces affect this “valuable but vulnerable” dilemma of asset specificity, this study reconciles the controversy concerning value expropriation vs value creation and enriches understanding of the critical roles of institutional parameters in supply chain management.

Analysing developing countries approaches of supply chain resilience to COVID-19

Purpose

The Covid-19 pandemic has made it essential to explore the resilience factors specific to developing regions, not only because they pose threats of extreme poverty and offer a novel context but also because they play an important role in globalisation.

Design/methodology/approach

A mixed-method approach was undertaken to address this novel pandemic situation. First, an open-ended structured questionnaire was developed, and data were collected from three neighbouring emerging economies: Pakistan, India and Iran. Experts' perspectives on vulnerabilities, response measures, resilience and restoration of supply chain activities, and the role of social capital were collected. Second, building upon the findings from phase one of the studies, a quantitative structured questionnaire using the supply chain operational reference (SCOR) model was used to collect data in a structured manner. This quantitative data were further analysed using frequency and contingency analysis.

Findings

The findings from the first phase of the study inductively derive 36 resilience categories. Later, the contingency findings show that supply chain (SC) disruption is a major vulnerability for emerging economies, whereas solutions offered to combat it lay in the reconfiguration of resources, such as financial, technological, human, information and material. Additionally, supply network structure and social capital play an integral part in making SCs resilient against disruption.

Research limitations/implications

The respondents comprise the academics/SC researchers, which make the findings interesting though they lack the industrial experts' perspectives, directly. Nevertheless, the propositions can be tested in industrial settings to see whether the results are limited to a specific industrial setting or are rather generalised.

Practical implications

Similarly, practitioners and policy makers can incorporate the SCOR metrics/factors outlined in this study into their performance measurement systems and ensure continuous monitoring for firm's resilience.

Originality/value

The study offers a holistic understanding of the developing regions' approaches to Covid-19. The paper also takes a social capital perspective to explain firms' resilience in these emerging economies.

Role of artificial intelligence and enterprise risk management to promote corporate entrepreneurship and business performance: evidence from korean banking sector

Korean banking industry has achieved significant growth in financial market, however, these banks are lacking with entrepreneurship activities due to low information system risk management. Objective of this study is to examine the effect of artificial intelligence, information system risk management and corporate entrepreneurship on business performance of Korean banks. The current study introduced artificial intelligence as one of the elements to boost risk management activities, corporate entrepreneurship and business performance. This objective was achieved through a research survey among Korean banks. Questionnaires were distributed among the employees of banks by using simple random sampling. Partial Least Square (PLS)-Structural Equation Modeling (SEM) was used for data analysis. Results of the study revealed that artificial intelligence has key role to influence information system risk management. It has positive role to enhance information system risk management practices. Information system risk management practices has vital importance to promote corporate entrepreneurship which increases the business performance of banks. This study is important for Korean banks to make various strategies for risk management, corporate entrepreneurship and business performance.